U.S. patent number RE45,398 [Application Number 14/177,692] was granted by the patent office on 2015-03-03 for system for tracking and analyzing welding activity.
This patent grant is currently assigned to Lincoln Global, Inc.. The grantee listed for this patent is Lincoln Global, Inc.. Invention is credited to Matthew Wayne Wallace.
United States Patent |
RE45,398 |
Wallace |
March 3, 2015 |
**Please see images for:
( Certificate of Correction ) ( PTAB Trial Certificate
) ** |
System for tracking and analyzing welding activity
Abstract
A system and a method for tracking and analyzing welding
activity. Dynamic spatial properties of a welding tool are sensed
during a welding process producing a weld. The sensed dynamic
spatial properties are tracked over time and the tracked dynamic
spatial properties are captured as tracked data during the welding
process. The tracked data is analyzed to determine performance
characteristics of a welder performing the welding process and
quality characteristics of a weld produced by the welding process.
The performance characteristics and the quality characteristics may
be subsequently reviewed.
Inventors: |
Wallace; Matthew Wayne (South
Windsor, CT) |
Applicant: |
Name |
City |
State |
Country |
Type |
Lincoln Global, Inc. |
City of Industry |
CA |
US |
|
|
Assignee: |
Lincoln Global, Inc. (City of
Industry, CA)
|
Family
ID: |
42677308 |
Appl.
No.: |
14/177,692 |
Filed: |
February 11, 2014 |
Related U.S. Patent Documents
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Application
Number |
Filing Date |
Patent Number |
Issue Date |
|
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61158578 |
Mar 9, 2009 |
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Reissue of: |
12719053 |
Mar 8, 2010 |
8274013 |
Sep 25, 2012 |
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Current U.S.
Class: |
219/137R;
219/130.33; 219/130.01; 219/124.34; 219/136 |
Current CPC
Class: |
B23K
9/0953 (20130101) |
Current International
Class: |
B23K
9/06 (20060101) |
Field of
Search: |
;257/137R |
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|
Primary Examiner: Vu; David
Assistant Examiner: Han; Jonathan
Attorney, Agent or Firm: Perkins Coie LLP
Parent Case Text
This U.S. patent application claims priority to and the benefit of
U.S. provisional patent application Ser. No. 61/158,578 which was
filed on Mar. 9, 2009, and which is incorporated herein by
reference in its entirety.
Claims
What is claimed is:
1. A system for tracking and analyzing welding activity, said
system comprising: means for automatically sensing .[.dynamic.].
spatial properties of a welding tool during a welding process
producing a .Iadd.real world .Iaddend.weld; means for automatically
tracking said sensed .[.dynamic.]. spatial properties .[.over
time.]. during said welding process; means for automatically
capturing .Iadd.in real time or near real time .Iaddend.said
tracked dynamic spatial properties as tracked data during said
welding process; and means for automatically analyzing .Iadd.in
real time or near real time .Iaddend.said tracked data to determine
.[.at least one of performance characteristics of a welder
performing said welding process and.]. .Iadd.a .Iaddend.quality
.[.characteristics.]. .Iadd.characteristic .Iaddend.of .[.a.].
.Iadd.said real world .Iaddend.weld produced by said welding
process.
2. The system of claim 1.Iadd., wherein said analyzing further
comprises determining a performance characteristic of a welder
performing said welding process, and said system .Iaddend.further
.[.comprising.]. .Iadd.comprises .Iaddend.means for reviewing said
performance .[.characteristics.]. .Iadd.characteristic .Iaddend.of
.[.a.]. .Iadd.said .Iaddend.welder performing said welding
process.
3. The system of claim 1 further comprising means for reviewing
said quality .[.characteristics.]. .Iadd.characteristic .Iaddend.of
.[.a.]. .Iadd.said real world .Iaddend.weld produced by said
welding process.
4. The system of claim 1 further comprising means for a user to
locally interact with said system.
5. The system of claim 1 further comprising means for a user to
remotely interact with said system.
6. The system of claim 1 further comprising means for automatically
authorizing access to a user of said system.
7. The system of claim 1.Iadd., wherein said analyzing comprises
determining a performance characteristic of a welder performing
said welding process, and .Iaddend. wherein said performance
.[.characteristics of a welder include.]. .Iadd.characteristic
includes .Iaddend.at least one of a weld joint trajectory, a travel
speed of said welding tool, welding tool pitch and roll angles, an
electrode distance to a center weld joint, an electrode trajectory,
and a weld time.
8. The system of claim 1 wherein said quality .[.characteristics of
a weld produced by said welding process include.].
.Iadd.characteristic includes .Iaddend.at least one of
discontinuities and flaws within regions of .[.a.]. .Iadd.said real
world .Iaddend.weld produced by said welding process.
9. A system for tracking and analyzing welding activity, said
system comprising: at least one sensor array configured to sense
.[.dynamic.]. spatial properties of a welding tool during a welding
process producing a .Iadd.real world .Iaddend.weld; a processor
based computing device operatively interfacing to said at least one
sensor array and configured to track and analyze .Iadd.in real time
or near real time .Iaddend.said .[.dynamic.]. spatial properties of
.[.a.]. .Iadd.said .Iaddend.welding tool .[.over time.]. during
.[.a.]. .Iadd.said .Iaddend.welding process producing .[.a.].
.Iadd.said real world .Iaddend.weld; and at least one user
interface operatively interfacing to said processor based computing
device.Iadd., said at least one user interface displaying a quality
characteristic of said real world weld produced by said welding
process.Iaddend..
10. The system of claim 9 wherein said at least one user interface
includes a graphical user interface.
11. The system of claim 9 wherein said at least one user interface
includes a display device.
12. The system of claim 9 further comprising a network interface
configured to interface said processor based computing device to an
external communication network.
13. The system of claim 9 wherein said at least one sensor array
includes at least one of acoustical sensor elements, optical sensor
elements, magnetic sensor elements, .Iadd.inertial sensor elements,
.Iaddend.and electromagnetic sensor elements.
14. A method for tracking and analyzing welding activity, said
method comprising: sensing .[.dynamic.]. spatial properties of a
welding tool during a welding process producing a .Iadd.real world
.Iaddend.weld .[.using at least one sensor.].; tracking said sensed
.[.dynamic.]. spatial properties .[.over time.]. .Iadd.in real time
or near real time .Iaddend.during said welding process .[.using a
real time tracking module.].; capturing said tracked .[.dynamic.].
spatial properties as tracked data .Iadd.in real time or near real
time .Iaddend.during said welding process .[.using a computer based
memory device.].; and analyzing said tracked data .Iadd.in real
time or near real time .Iaddend.to determine .[.at least one of
performance characteristics of a welder performing said welding
process and.]. .Iadd.a .Iaddend.quality .[.characteristics.].
.Iadd.characteristic .Iaddend.of .[.a.]. .Iadd.said real world
.Iaddend.weld produced by said welding process .[.using a computer
based analysis engine.]..
15. The method of claim 14.Iadd., wherein said analyzing further
comprises determining a performance characteristic of a welder
performing said welding process, and wherein said method
.Iaddend.further .[.comprising.]. .Iadd.comprises
.Iaddend.outputting said performance .[.characteristics.].
.Iadd.characteristic .Iaddend.of .[.a.]. .Iadd.said .Iaddend.welder
performing said welding process to at least one of a display
device, a visualization module, and a testing module for
review.
16. The method of claim 14 further comprising outputting said
quality .[.characteristics.]. .Iadd.characteristic .Iaddend.of
.[.a.]. .Iadd.said real world .Iaddend.weld produced by said
welding process to at least one of a display device, a
visualization module, and a testing module for review.
17. The method of claim 14 further comprising selecting welding set
up parameters for said welding process via a user interface.
18. The method of claim .[.14.]. .Iadd.15 .Iaddend.further
comprising remotely reviewing at least one of said performance
.[.characteristics.]. .Iadd.characteristic .Iaddend.of .[.a.].
.Iadd.said .Iaddend.welder performing said welding process and said
quality .[.characteristics.]. .Iadd.characteristic .Iaddend.of
.[.a.]. .Iadd.said real world .Iaddend.weld produced by said
welding process, via a communication network.
19. The method of claim 14.Iadd., wherein said analyzing further
comprises determining a performance characteristic of a welder
performing said welding process, and .Iaddend. wherein said
performance .[.characteristics of a welder include.].
.Iadd.characteristic includes .Iaddend.at least one of a weld joint
trajectory, a travel speed of said welding tool, welding tool pitch
and roll angles, an electrode distance to a center weld joint, an
electrode trajectory, and a weld time.
20. The method of claim 14 wherein said quality .[.characteristics
of a weld produced by said welding process include.].
.Iadd.characteristic includes .Iaddend.at least one of
discontinuities and flaws within regions of .[.a.]. .Iadd.said real
world .Iaddend.weld produced by said welding process.
.Iadd.21. The system of claim 9, wherein said analysis of said
spatial properties comprise determining at least one of a
performance characteristic of a welder performing said welding
process and a quality characteristic of said real world
weld..Iaddend.
.Iadd.22. The system of claim 21, wherein said performance
characteristic includes at least one of a weld joint trajectory, a
travel speed of said welding tool, welding tool pitch and roll
angles, an electrode distance to a center weld joint, an electrode
trajectory, and a weld time..Iaddend.
.Iadd.23. The system of claim 21, wherein said quality
characteristic includes at least one of a discontinuity and a flaw
within a region of said weld produced by said welding
process..Iaddend.
.Iadd.24. The system of claim 23, wherein said quality
characteristic includes said flaw and said flaw comprises at least
one of porosity and weld overfill..Iaddend.
.Iadd.25. The system of claim 24, wherein said spatial properties
comprise at least one of a position, an orientation, and a movement
of said welding tool..Iaddend.
.Iadd.26. The system of claim 9, wherein said welding tool
comprises a portion of said at least one sensor array..Iaddend.
.Iadd.27. The system of claim 26, wherein said portion of said at
least one sensor array includes at least one of acoustical sensor
elements, magnetic sensor elements, inertial sensor elements, and
electromagnetic sensor elements..Iaddend.
.Iadd.28. The system of claim 12, wherein said network interface is
configured to transmit data representing said welding process to a
remote system..Iaddend.
.Iadd.29. The system of claim 28, wherein said transmitted data
comprises information related to a welder's
performance..Iaddend.
.Iadd.30. The system of claim 9, wherein said processor based
computing device is further configured to record in real time or
near real time performance data corresponding to said welding
process, and wherein said performance data comprises at least one
of a weld joint configuration or a weld joint trajectory, a weld
speed, welding tool pitch and roll angles, an electrode distance to
a center weld joint, a wire feed speed, an electrode trajectory, a
weld time, and time and date data..Iaddend.
.Iadd.31. The system of claim 30, wherein said processor based
computing device is further configured to record at least one of
weldment materials, electrode materials, user name, and project ID
number..Iaddend.
.Iadd.32. The system of claim 31, wherein said analyzing further
comprises comparing said performance data to known parameters to
determine said quality characteristic of said real world
weld..Iaddend.
.Iadd.33. The system of claim 9, wherein said analyzing comprises
determining a score based on a comparison of at least one of said
tracked spatial properties to an optimum value corresponding to
said at least one of said tracked spatial properties..Iaddend.
.Iadd.34. The system of claim 33, wherein said optimum value is a
range comprising an upper limit and a lower limit for said at least
one of said tracked spatial properties..Iaddend.
.Iadd.35. The system of claim 34, wherein said tracked spatial
properties comprise at least one of a weld joint trajectory, a weld
speed, welding tool pitch angle, welding tool roll angle, an
electrode distance to a center weld joint, a wire feed speed, and
an electrode trajectory..Iaddend.
.Iadd.36. The system of claim 35, wherein said tracked spatial
properties includes said welding tool pitch angle..Iaddend.
.Iadd.37. The system of claim 9, wherein said welding process is
performed manually..Iaddend.
.Iadd.38. The system of claim 9, wherein said welding process is
performed by a robotic welder..Iaddend.
.Iadd.39. The system of claim 11, wherein said display device is
integrated into a welding helmet..Iaddend.
.Iadd.40. The system of claim 9, wherein said processor based
computing device is configured to set up a virtual reality setting
in which said welding process can be simulated using said spatial
properties of said welding tool..Iaddend.
.Iadd.41. The system of claim 9, wherein said welding tool is one
of an electrode holder and a welding torch..Iaddend.
.Iadd.42. The system of claim 9, wherein said analysis is performed
by an expert system configured identify defective or potentially
defective areas along a weld joint..Iaddend.
.Iadd.43. The system of claim 42, wherein said expert system
comprises at least one of a rule-based system and a neural
network..Iaddend.
.Iadd.44. The system of claim 43, wherein said expert system is
said neural network and said analysis is based on weighted
factors..Iaddend.
.Iadd.45. The system of claim 9, wherein said processor based
computing device is further configured to capture information
corresponding to said welding process in an analysis record for
subsequent review..Iaddend.
.Iadd.46. The method of claim 14, wherein said sensing comprises
measuring at least one of an acoustical signal, a magnetic signal,
an optical signal, inertial signal, and an electromagnetic
signal..Iaddend.
.Iadd.47. The method of claim 14, further comprising transmitting
to a remote system data representing said welding
process..Iaddend.
.Iadd.48. The method of claim 47, further comprising analyzing said
welding process based on said transmitted data..Iaddend.
.Iadd.49. The method of claim 14, further comprising recording in
real time or near real time performance data corresponding to said
welding process, wherein said performance data comprises at least
one of a weld joint configuration or a weld joint trajectory, a
weld speed, welding tool pitch and roll angles, an electrode
distance to a center weld joint, a wire feed speed, an electrode
trajectory, a weld time, and time and date data..Iaddend.
.Iadd.50. The method of claim 49, wherein said recording further
comprises recording data corresponding to at least one of weldment
materials, electrode materials, user name, and project ID
number..Iaddend.
.Iadd.51. The method of claim 49, wherein said analyzing comprises
comparing said performance data to known parameters to determine
said quality characteristic of said real world weld..Iaddend.
.Iadd.52. The method of claim 14, wherein said analyzing comprises
determining a score based on a comparison of at least one of said
tracked spatial properties to an optimum value..Iaddend.
.Iadd.53. The method of claim 52, wherein said optimum value is a
range comprising an upper limit and a lower limit for said at least
one of said tracked spatial properties..Iaddend.
.Iadd.54. The method of claim 53, wherein said tracked spatial
properties comprise at least one of a weld joint trajectory, a weld
speed, welding tool pitch angle, welding tool roll angle, an
electrode distance to a center weld joint, a wire feed speed, and
an electrode trajectory..Iaddend.
.Iadd.55. The system of claim 54, wherein said tracked spatial
properties includes said welding tool pitch angle..Iaddend.
.Iadd.56. The method of claim 14, wherein said welding process is
performed manually..Iaddend.
.Iadd.57. The method of claim 14, wherein said welding process is
performed by a robotic welder..Iaddend.
.Iadd.58. The method of claim 14, further comprising storing
information on said welding process an analysis
record..Iaddend.
.Iadd.59. The method of claim 15, wherein said display device is
integrated into a welding helmet..Iaddend.
.Iadd.60. The method of claim 16, wherein said display device is
integrated into a welding helmet..Iaddend.
.Iadd.61. The method of claim 14, further comprising setting up a
virtual reality setting in which said welding process can be
simulated using said spatial properties of said welding
tool..Iaddend.
.Iadd.62. The method of claim 14, wherein said welding tool is one
of an electrode holder and a welding torch..Iaddend.
.Iadd.63. The method of claim 14, further comprising using an
expert system to identify defective or potentially defective areas
along said weld..Iaddend.
.Iadd.64. The method of claim 63, wherein said expert system uses
at least one of a rule-based system and a neural
network..Iaddend.
.Iadd.65. The method of claim 64, wherein said expert system uses
said neural network and said identification is based on weighted
factors..Iaddend.
.Iadd.66. The method of claim 14, further comprising capturing
information corresponding to said welding process in an analysis
record for subsequent review..Iaddend.
.Iadd.67. The method of claim 20, wherein said flaws comprise at
least one of porosity and weld overfill..Iaddend.
.Iadd.68. The method of claim 67, wherein said spatial properties
comprise at least one of a position, an orientation, and a movement
of said welding tool..Iaddend.
.Iadd.69. A system for tracking and analyzing welding activity,
said system comprising: at least one sensor array configured to
sense spatial properties of a welding tool during a welding process
producing a real world weld; and a processor based computing device
operatively interfacing to said at least one sensor array and
configured to track said spatial properties and record performance
data corresponding to said welding process, said processor based
computing device further configured to determine a quality
characteristic of said real world weld..Iaddend.
.Iadd.70. The system of claim 69, wherein said analysis comprises
comparing said performance data to known parameters to determine
said quality characteristic of said weld..Iaddend.
.Iadd.71. The system of claim 70, wherein said quality
characteristic includes at least one of a discontinuity and a flaw
within a region of said weld..Iaddend.
.Iadd.72. The system of claim 71, wherein said recording is
performed in real time or near real time..Iaddend.
.Iadd.73. The system of claim 72, wherein said spatial properties
comprise at least one of a position, an orientation, and a movement
of said welding tool, and wherein said performance data comprises
at least one of a weld joint configuration or a weld joint
trajectory, a weld speed, welding tool pitch and roll angles, an
electrode distance to a center weld joint, a wire feed speed, an
electrode trajectory, a weld time, and time and date
data..Iaddend.
.Iadd.74. The system of claim 73, wherein said processor based
computing device is further configured to record at least one of
weldment materials, electrode materials, user name, and project ID
number..Iaddend.
.Iadd.75. The system of claim 73, wherein said analyzing further
comprises determining a score based on at least a comparison of at
least one of said tracked spatial properties to an optimum value
said at least one of said tracked spatial properties..Iaddend.
.Iadd.76. The system of claim 75, wherein said optimum value is a
range comprising an upper limit and a lower limit for said at least
one of said tracked spatial properties..Iaddend.
.Iadd.77. The system of claim 76, wherein said tracked spatial
properties comprise at least one of a weld joint trajectory, a weld
speed, welding tool pitch angle, welding tool roll angle, an
electrode distance to a center weld joint, a wire feed speed, and
an electrode trajectory..Iaddend.
.Iadd.78. The system of claim 77, wherein said tracked spatial
properties includes said welding tool pitch angle..Iaddend.
.Iadd.79. The system of claim 71, wherein said quality
characteristic includes said flaw and said flaw comprises at least
one of porosity and weld overfill..Iaddend.
.Iadd.80. The system of claim 69, wherein said welding process is
performed manually..Iaddend.
.Iadd.81. The system of claim 69, wherein said welding process is
performed by a robotic welder..Iaddend.
.Iadd.82. The system of claim 69, further comprising a display
device to display said quality characteristic..Iaddend.
.Iadd.83. The system of claim 82, wherein said display device is
integrated into a welding helmet..Iaddend.
.Iadd.84. The system of claim 69, wherein said processor based
computing device is configured to set up a virtual reality setting
in which said welding process can be simulated using said spatial
properties of said welding tool..Iaddend.
.Iadd.85. The system of claim 69, wherein said welding tool is one
of an electrode holder and a welding torch..Iaddend.
.Iadd.86. The system of claim 69, wherein said analysis is
performed by an expert system configured identify defective or
potentially defective areas along said weld..Iaddend.
.Iadd.87. The system of claim 86, wherein said expert system is a
neural network and said analysis is based on weighted
factors..Iaddend.
.Iadd.88. The system of claim 69, wherein said processor based
computing device is further configured to capture information
corresponding to said welding process in an analysis record for
subsequent review..Iaddend.
.Iadd.89. A system for tracking and analyzing welding activity,
said system comprising: a tracking module configured to track
spatial positions of a welding tool during a welding process; and a
processor subsystem configured to ascertain at least one welding
parameter during the welding process based on said tracked spatial
positions and to determine a score based on a comparison of said at
least one welding parameter to an optimum value..Iaddend.
.Iadd.90. The system of claim 89, wherein said at least one welding
parameter includes a performance characteristic of a
welder..Iaddend.
.Iadd.91. The system of claim 89, wherein said at least one welding
parameter includes a quality characteristic of a weld..Iaddend.
.Iadd.92. The system of claim 89, wherein said at least one welding
parameter includes a performance characteristic of a welder and a
quality characteristic of a weld..Iaddend.
.Iadd.93. The system of claim 89, wherein said processor subsystem
includes an expert system..Iaddend.
.Iadd.94. The system of claim 93, wherein said expert system
comprises at least one of a rule-based system and a neural
network..Iaddend.
.Iadd.95. The system of claim 89, wherein said optimum value is a
range comprising an upper limit and a lower limit for said at least
one welding parameter..Iaddend.
.Iadd.96. The system of claim 95, wherein said at least one welding
parameter comprises at least one of a weld joint trajectory, a weld
speed, welding tool pitch angle, welding tool roll angle, an
electrode distance to a center weld joint, a wire feed speed, and
an electrode trajectory..Iaddend.
.Iadd.97. The system of claim 96, wherein said tracked spatial
properties includes said welding tool pitch angle..Iaddend.
.Iadd.98. The system of claim 97, wherein said welding process is
performed manually..Iaddend.
.Iadd.99. The system of claim 89, wherein said welding process is
performed by a robotic welder..Iaddend.
.Iadd.100. The system of claim 91, further comprising a display
device to display said quality characteristic..Iaddend.
.Iadd.101. The system of claim 100, wherein said display is
integrated into a welding helmet..Iaddend.
.Iadd.102. The system of claim 89, wherein said processor based
computing device is configured to set up a virtual reality setting
in which said welding process can be simulated using said spatial
properties of said welding tool..Iaddend.
.Iadd.103. The system of claim 89, wherein said welding tool is one
of an electrode holder and a welding torch..Iaddend.
.Iadd.104. A method for tracking and analyzing welding activity,
said method comprising: sensing spatial properties of a welding
tool during a welding process producing a real world weld; tracking
said sensed spatial properties; recording performance data
corresponding to said welding process; and analyzing said
performance data in real-time or near real-time to determine a
quality characteristic of said real world weld produced by said
welding process..Iaddend.
.Iadd.105. The method of claim 104, wherein said analyzing
comprises comparing said performance data to a known parameter to
determine said quality characteristic of said real world
weld..Iaddend.
.Iadd.106. The method of claim 105, wherein said welding process is
performed by a robotic welder..Iaddend.
.Iadd.107. The method of claim 105, wherein said quality
characteristic includes at least one of a discontinuity and a flaw
within a region of said real world weld..Iaddend.
.Iadd.108. The method of claim 107, wherein said quality
characteristic includes said flaw and said flaw comprises at least
one of porosity and weld overfill..Iaddend.
.Iadd.109. The method of claim 107, wherein said recording is
performed in real time or near real time..Iaddend.
.Iadd.110. The method of claim 109, wherein said spatial properties
comprise at least one of a position, an orientation, and a movement
of said welding tool, and wherein said performance data comprises
at least one of a weld joint configuration or a weld joint
trajectory, a weld speed, welding tool pitch and roll angles, an
electrode distance to a center weld joint, a wire feed speed, an
electrode trajectory, a weld time, and time and date
data..Iaddend.
.Iadd.111. The method of claim 110, wherein further comprising
recording at least one of weldment materials, electrode materials,
user name, and project ID number..Iaddend.
.Iadd.112. The method of claim 104, wherein said analyzing further
comprises determining a score based on at least a comparison of at
least one of said tracked spatial properties to an optimum
value..Iaddend.
.Iadd.113. The method of claim 112, wherein said optimum value is a
range comprising an upper limit and a lower limit for said at least
one of said tracked spatial properties..Iaddend.
.Iadd.114. The method of claim 113, wherein said tracked spatial
properties comprise at least one of a weld joint trajectory, a weld
speed, welding tool pitch angle, welding tool roll angle, an
electrode distance to a center weld joint, a wire feed speed, and
an electrode trajectory..Iaddend.
.Iadd.115. The system of claim 114, wherein said tracked spatial
properties includes said welding tool pitch angle..Iaddend.
.Iadd.116. The method of claim 104, wherein said welding process is
performed manually..Iaddend.
.Iadd.117. The method of claim 104, further comprising outputting
said quality characteristic to a display device..Iaddend.
.Iadd.118. The method of claim 117, wherein said display device is
integrated into a welding helmet..Iaddend.
.Iadd.119. The method of claim 104, further comprising setting up a
virtual reality setting in which said welding process can be
simulated using said spatial properties of said welding
tool..Iaddend.
.Iadd.120. The method of claim 104, wherein said welding tool is
one of an electrode holder and a welding torch..Iaddend.
.Iadd.121. The method of claim 104, further comprising using an
expert system to identify defective or potentially defective areas
along said weld..Iaddend.
.Iadd.122. The method of claim 121, wherein said expert system is a
neural network and said identification is based on weighted
factors..Iaddend.
.Iadd.123. The method of claim 104, further comprising capturing
information corresponding to said welding process in an analysis
record for subsequent review..Iaddend.
.Iadd.124. A method for tracking and analyzing welding activity,
said system comprising: tracking spatial positions of a welding
tool during a welding process; determining at least one welding
parameter during the welding process based on said tracked spatial
positions; determining a score based on a comparison of said at
least one welding parameter to an optimum value..Iaddend.
.Iadd.125. The method of claim 124, wherein said determining of
said at least one welding parameter comprises analyzing a
performance characteristic of a welder..Iaddend.
.Iadd.126. The method of claim 124, wherein said determining of
said at least one welding parameter comprises analyzing a quality
characteristic of a weld..Iaddend.
.Iadd.127. The method of claim 124, wherein said determining of
said at least one welding parameter comprises analyzing a
performance characteristic of a welder and a quality characteristic
of a weld..Iaddend.
.Iadd.128. The method of claim 124, wherein said determining of
said at least one welding parameter comprises using an expert
system..Iaddend.
.Iadd.129. The method of claim 128, wherein said expert system uses
at least one of a rule-based system and a neural
network..Iaddend.
.Iadd.130. The method of claim 124, wherein said optimum value is a
range comprising an upper limit and a lower limit for said at least
one welding parameter..Iaddend.
.Iadd.131. The method of claim 130, wherein said at least one
welding parameter comprises at least one of a weld joint
trajectory, a weld speed, welding tool pitch angle, welding tool
roll angle, an electrode distance to a center weld joint, a wire
feed speed, and an electrode trajectory..Iaddend.
.Iadd.132. The method of claim 131, wherein said at least one
welding parameter includes said welding tool pitch
angle..Iaddend.
.Iadd.133. The method of claim 124, wherein said welding process is
performed manually..Iaddend.
.Iadd.134. The method of claim 124, wherein said welding process is
performed by a robotic welder..Iaddend.
.Iadd.135. The method of claim 124, further comprising setting up a
virtual reality setting in which said welding process can be
simulated using said spatial properties of said welding
tool..Iaddend.
.Iadd.136. The system of claim 124, wherein said welding tool is
one of an electrode holder and a welding torch..Iaddend.
.Iadd.137. A system for tracking welding activity, said system
comprising: an optical tracking system that tracks at least one of
a position, a movement, and an orientation of a welding tool; and a
computer operatively interfacing to said optical tracking system,
said computer determining at least one parameter that is at least
one of a travel speed, a pitch angle, a roll angle, and an
electrode distance to a center weld joint of said welding tool,
wherein said processor based computing device determines for each
of said at least one parameter a score based on a comparison of
said parameter to at least one predetermined limit for said
parameter..Iaddend.
.Iadd.138. The system of claim 137, wherein said score relates to a
weld quality of a real world weld..Iaddend.
.Iadd.139. The system of claim 138, wherein said score relates to
said weld quality of said real world weld, and wherein said weld
quality includes an indication of at least one of a discontinuity
and a flaw within a region of said real world weld..Iaddend.
.Iadd.140. The system of claim 139, wherein said weld quality
includes an indication of said flaw and said flaw comprises at
least one of porosity and weld overfill..Iaddend.
.Iadd.141. The system of claim 139, wherein said determination of
said score is performed in real time or near real
time..Iaddend.
.Iadd.142. The system of claim 138, wherein an expert system
identifies defective or potentially defective areas along said real
world weld..Iaddend.
.Iadd.143. The system of claim 137, wherein said at least one
parameter further includes at least one of a weld joint
configuration or a weld joint trajectory, a weld speed, a wire feed
speed, an electrode trajectory, a weld time, and time and date
data..Iaddend.
.Iadd.144. The system of claim 137, wherein said processor based
computing device is further configured to record at least one of
weldment materials, electrode materials, user name, and project ID
number..Iaddend.
.Iadd.145. The system of claim 137, wherein said at least one
predetermined limit includes an upper limit and a lower
limit..Iaddend.
.Iadd.146. The system of claim 137, further comprising a display
device to display said score..Iaddend.
.Iadd.147. The system of claim 146, wherein said display device is
integrated into a welding helmet..Iaddend.
.Iadd.148. The system of claim 137, wherein said welding tool is
one of an electrode holder and a welding torch..Iaddend.
.Iadd.149. A system for tracking welding activity, said system
comprising: an infrared tracking system that tracks at least one of
a position, a movement, and an orientation of a welding tool based
on an infrared element attached to said welding tool; and a
computer operatively interfacing to said infrared tracking system,
said computer determining at least one parameter that is at least
one of a travel speed, a pitch angle, a roll angle, and an
electrode distance to a center weld joint of said welding tool,
wherein said computer determines for each of said at least one
parameter a score based on a comparison of said parameter to at
least one predetermined limit for said parameter..Iaddend.
.Iadd.150. The system of claim 149, wherein said score relates to a
weld quality of a real world weld..Iaddend.
.Iadd.151. The system of claim 150, wherein an expert system
identifies defective or potentially defective areas along said real
world weld..Iaddend.
.Iadd.152. The system of claim 150, wherein said score relates to
said weld quality of said real world weld, and wherein said weld
quality includes an indication of at least one of a discontinuity
and a flaw within a region of said real world weld..Iaddend.
.Iadd.153. The system of claim 152, wherein said weld quality
includes an indication of said flaw and said flaw comprises at
least one of porosity and weld overfill..Iaddend.
.Iadd.154. The system of claim 152, wherein said determination of
said score is performed in real time or near real
time..Iaddend.
.Iadd.155. The system of claim 149, wherein said at least one
parameter further includes at least one of a weld joint
configuration or a weld joint trajectory, a weld speed, a wire feed
speed, an electrode trajectory, a weld time, and time and date
data..Iaddend.
.Iadd.156. The system of claim 149, wherein said processor based
computing device is further configured to record at least one of
weldment materials, electrode materials, user name, and project ID
number..Iaddend.
.Iadd.157. The system of claim 149, wherein said at least one
predetermined limit includes an upper limit and a lower
limit..Iaddend.
.Iadd.158. The system of claim 149, further comprising a display
device to display said score..Iaddend.
.Iadd.159. The system of claim 158, wherein said display device is
integrated into a welding helmet..Iaddend.
.Iadd.160. The system of claim 149, wherein said welding tool is
one of an electrode holder and a welding torch..Iaddend.
.Iadd.161. A method for tracking welding activity, said method
comprising: optically tracking at least one of a position, a
movement, and an orientation of a welding tool; determining at
least one parameter that is at least one of a travel speed, a pitch
angle, a roll angle, and an electrode distance to a center weld
joint of said welding tool; and computing for each of said at least
one parameter a score based on a comparison of said parameter to at
least one predetermined limit for said parameter..Iaddend.
.Iadd.162. The method of claim 161, wherein said score relates to a
weld quality of a real world weld..Iaddend.
.Iadd.163. The method of claim 162, wherein an expert system
identifies defective or potentially defective areas along said real
world weld..Iaddend.
.Iadd.164. The method of claim 162, wherein said score relates to
said weld quality of said real world weld, and wherein said weld
quality includes an indication of at least one of a discontinuity
and a flaw within a region of said real world weld..Iaddend.
.Iadd.165. The method of claim 164, wherein said weld quality
includes an indication of said flaw and said flaw comprises at
least one of porosity and weld overfill..Iaddend.
.Iadd.166. The method of claim 164, wherein said determination of
said score is performed in real time or near real
time..Iaddend.
.Iadd.167. The method of claim 161, wherein said at least one
parameter further includes at least one of a weld joint
configuration or a weld joint trajectory, a weld speed, a wire feed
speed, an electrode trajectory, a weld time, and time and date
data..Iaddend.
.Iadd.168. The method of claim 167, wherein said processor based
computing device is further configured to record at least one of
weldment materials, electrode materials, user name, and project ID
number..Iaddend.
.Iadd.169. The method of claim 161, wherein said at least one
predetermined limit includes an upper limit and a lower
limit..Iaddend.
.Iadd.170. The method of claim 161, further comprising a display
device to display said score..Iaddend.
.Iadd.171. The method of claim 170, wherein said display device is
integrated into a welding helmet..Iaddend.
.Iadd.172. The method of claim 161, wherein said welding tool is
one of an electrode holder and a welding torch..Iaddend.
.Iadd.173. A method for tracking welding activity, said method
comprising: tracking by infrared at least one of a position, a
movement, and an orientation of a welding tool based on an infrared
element attached to said welding tool; determining at least one
parameter that is at least one of a travel speed, a pitch angle, a
roll angle, and an electrode distance to a center weld joint of
said welding tool; and computing for each of said at least one
parameter a score based on a comparison of said parameter to at
least one predetermined limit for said parameter..Iaddend.
.Iadd.174. The method of claim 173, wherein said score relates to a
weld quality of a real world weld..Iaddend.
.Iadd.175. The method of claim 174, wherein said score relates to
said weld quality of said real world weld, and wherein said weld
quality includes an indication of at least one of a discontinuity
and a flaw within a region of said real world weld..Iaddend.
.Iadd.176. The method of claim 175, wherein said weld quality
includes an indication of said flaw and said flaw comprises at
least one of porosity and weld overfill..Iaddend.
.Iadd.177. The method of claim 175, wherein said determination of
said score is performed in real time or near real
time..Iaddend.
.Iadd.178. The method of claim 174, wherein an expert system
identifies defective or potentially defective areas along said real
world weld..Iaddend.
.Iadd.179. The method of claim 173, wherein said at least one
parameter further includes at least one of a weld joint
configuration or a weld joint trajectory, a weld speed, a wire feed
speed, an electrode trajectory, a weld time, and time and date
data..Iaddend.
.Iadd.180. The method of claim 179, wherein said processor based
computing device is further configured to record at least one of
weldment materials, electrode materials, user name, and project ID
number..Iaddend.
.Iadd.181. The method of claim 173, wherein said at least one
predetermined limit includes an upper limit and a lower
limit..Iaddend.
.Iadd.182. The method of claim 173, further comprising a display
device to display said score..Iaddend.
.Iadd.183. The method of claim 182, wherein said display device is
integrated into a welding helmet..Iaddend.
.Iadd.184. The method of claim 173, wherein said welding tool is
one of an electrode holder and a welding torch..Iaddend.
.Iadd.185. A system for tracking and analyzing welding activity,
said system comprising: at least one sensor array configured to
sense spatial properties of a welding tool during a welding process
producing a real world weld; a processor based computing device
operatively interfacing to said at least one sensor array and
configured to track and analyze in real time or near real time said
spatial properties of said welding tool during said welding process
producing said real world weld; and at least one display
interfacing to said processor based computing device, said at least
one display displaying a quality characteristic of said real world
weld produced by said welding process..Iaddend.
.Iadd.186. A system for tracking welding activity, said system
comprising: an infrared tracking system that tracks at least one of
a position, a movement, and an orientation of a welding tool based
on an infrared emitter attached to said welding tool; and a
computer operatively interfacing to said infrared tracking system,
said computer determining at least one parameter that is at least
one of a travel speed, a pitch angle, a roll angle, and an
electrode distance to a center weld joint of said welding tool,
wherein said computer determines for each of said at least one
parameter a score based on a comparison of said parameter to at
least one predetermined limit for said parameter..Iaddend.
.Iadd.187. A method for tracking welding activity, said method
comprising: tracking by infrared at least one of a position, a
movement, and an orientation of a welding tool based on an infrared
emission from said welding tool; determining at least one parameter
that is at least one of a travel speed, a pitch angle, a roll
angle, and an electrode distance to a center weld joint of said
welding tool, computing for each of said at least one parameter a
score based on a comparison of said parameter to at least one
predetermined limit for said parameter..Iaddend.
.Iadd.188. A system for tracking welding activity, said system
comprising: an optical tracking system that tracks in real time or
near real time at least one of a position, a movement, and an
orientation of a welding tool; and a computer operatively
interfacing to said optical tracking system, said computer
determining in real time or near real time at least one parameter
that is at least one of a travel speed, a pitch angle, a roll
angle, and an electrode distance to a center weld joint of said
welding tool, wherein said processor based computing device
determines for each of said at least one parameter a score based on
a comparison of said parameter to at least one predetermined limit
for said parameter, and wherein said score relates to a weld
quality of a real world weld..Iaddend.
.Iadd.189. The system of claim 188, wherein said determination of
said score is performed in real time or near real
time..Iaddend.
.Iadd.190. A system for tracking welding activity, said system
comprising: an infrared tracking system that tracks in real time or
near real time at least one of a position, a movement, and an
orientation of a welding tool based on an infrared element attached
to said welding tool; and a computer operatively interfacing to
said infrared tracking system, said computer determining in real
time or near real time at least one parameter that is at least one
of a travel speed, a pitch angle, a roll angle, and an electrode
distance to a center weld joint of said welding tool, wherein said
computer determines for each of said at least one parameter a score
based on a comparison of said parameter to at least one
predetermined limit for said parameter, and wherein said score
relates to a weld quality of a real world weld..Iaddend.
.Iadd.191. The system of claim 190, wherein said determination of
said score is performed in real time or near real
time..Iaddend.
.Iadd.192. A method for tracking welding activity, said method
comprising: optically tracking in real time or near real time at
least one of a position, a movement, and an orientation of a
welding tool; determining in real time or near real time at least
one parameter that is at least one of a travel speed, a pitch
angle, a roll angle, and an electrode distance to a center weld
joint of said welding tool; and computing for each of said at least
one parameter a score based on a comparison of said parameter to at
least one predetermined limit for said parameter, and wherein said
score relates to a weld quality of a real world weld..Iaddend.
.Iadd.193. The method of claim 192, wherein said determination of
said score is performed in real time or near real
time..Iaddend.
.Iadd.194. A method for tracking welding activity, said method
comprising: tracking by infrared in real time or near real time at
least one of a position, a movement, and an orientation of a
welding tool based on an infrared element attached to said welding
tool; determining in real time or near real time at least one
parameter that is at least one of a travel speed, a pitch angle, a
roll angle, and an electrode distance to a center weld joint of
said welding tool; and computing for each of said at least one
parameter a score based on a comparison of said parameter to at
least one predetermined limit for said parameter, and wherein said
score relates to a weld quality of a real world weld..Iaddend.
.Iadd.195. The method of claim 194, wherein said determination of
said score is performed in real time or near real time..Iaddend.
Description
TECHNICAL FIELD
Certain embodiments of the present invention pertain to systems for
tracking and analyzing welding activity, and more particularly, to
systems that capture weld data in real time (or near real time) for
analysis and review. Additionally, the embodiments of the present
invention provide a system for marking portions of a welded article
by indicating possible discontinuities or flaws within the weld
joint.
BACKGROUND
In many applications, ascertaining the quality of weld joints is
critical to the use and operation of a machine or structure
incorporating a welded article. In some instances, x-raying or
other nondestructive testing is needed to identify potential flaws
within one or more welded joints. However, non-destructive testing
can be cumbersome to use, and typically lags the welding process
until the inspector arrives to complete the testing. Additionally,
it may not be effective for use with all weld joint configurations.
Moreover, non-destructive testing does not provide any information
about how the weld was completed. In welding applications where
identifying waste is vital to producing cost effective parts,
non-destructive testing provides no insight into problems like
overfill.
Further limitations and disadvantages of conventional, traditional,
and proposed approaches will become apparent to one of skill in the
art, through comparison of such approaches with the subject matter
of the present application as set forth in the remainder of the
present application with reference to the drawings.
SUMMARY
The embodiments of the present invention pertain to a system for
tracking and analyzing welding activity. The system may be used in
conjunction with a welding power supply and includes a sensor array
and logic processor-based technology that captures performance data
(dynamic spatial properties) as the welder performs various welding
activities. The system functions to evaluate the data via an
analysis engine for determining weld quality in real time (or near
real time). The system also functions to store and replay data for
review at a time subsequent to the welding activity thereby
allowing other users of the system to review the performance
activity of the welding process.
These and other novel features of the subject matter of the present
application, as well as details of illustrated embodiments thereof,
will be more fully understood from the following description and
drawings.
BRIEF DESCRIPTION OF THE DRAWINGS
FIG. 1 is a perspective view of a welder using an embodiment of a
system for tracking and analyzing welding activity;
FIG. 2 is a schematic representation of an embodiment of the system
of FIG. 1 for tracking and analyzing welding activity;
FIG. 3 is a schematic representation of an embodiment of the
hardware and software of the system of FIGS. 1-2 for tracking and
analyzing welding activity;
FIG. 4 is a flow diagram of an embodiment of the system of FIGS.
1-3 for tracking and analyzing welding activity;
FIG. 5 is a flowchart of an embodiment of a method for tracking and
analyzing welding activity using the system of FIGS. 1-4; and
FIG. 6 illustrates an example embodiment of a graph, displayed on a
display, showing tracked welding tool pitch angle versus time with
respect to an upper pitch angle limit, a lower pitch angle limit,
and an ideal pitch angle.
DETAILED DESCRIPTION
FIG. 1 is a perspective view of a welder 10 using an embodiment of
a system 100 for tracking and analyzing welding activity while
performing a welding process with a welding system 200. FIG. 2 is a
schematic representation of an embodiment of the system 100 of FIG.
1 for tracking and analyzing welding activity. FIG. 3 is a
schematic representation of an embodiment of the hardware 110, 130
and software 120 of the system 100 of FIGS. 1-2 for tracking and
analyzing welding activity. FIG. 4 is a flow diagram of an
embodiment of the system 100 of FIGS. 1-3 for tracking and
analyzing welding activity. FIG. 5 is a flowchart of an embodiment
of a method 500 for tracking and analyzing welding activity using
the system 100 of FIGS. 1-4.
Referring again to the drawings wherein the showings are for
purposes of illustrating embodiments of the invention only and not
for purposes of limiting the same, FIG. 1 shows a system 100 for
tracking and analyzing manual processes requiring the dexterity of
a human end user 10. In particular, system 100 functions to capture
performance data related to the use and handling of tools (e.g.,
welding tools). In one embodiment, the system 100 is used to track
and analyze welding activity, which may be a manual welding process
in any of its forms including but not limited to: arc welding,
laser welding, brazing, soldering, oxyacetylene and gas welding,
and the like. For illustrative purposes, the embodiments of the
present invention will be described in the context of arc welding.
However, persons of ordinary skill in the art will understand its
application to other manual processes. In accordance with
alternative embodiments of the present invention, the manual welder
10 may be replaced with a robotic welder. As such, the performance
of the robotic welder and resultant weld quality may be determined
in a similar manner.
In one embodiment, the system 100 tracks movement or motion (i.e.,
position and orientation over time) of a welding tool 230, which
may be, for example, an electrode holder or a welding torch.
Accordingly, the system 100 is used in conjunction with a welding
system 200 including a welding power supply 210, a welding torch
230, and welding cables 240, along with other welding equipment and
accessories. As a welder 10, i.e. end user 10, performs welding
activity in accordance with a welding process, the system 100
functions to capture performance data from real world welding
activity as sensed by sensors 160, 165 (see FIG. 2) which are
discussed in more detail later herein.
In accordance with an embodiment of the present invention, the
system 100 for tracking and analyzing welding activity includes the
capability to automatically sense dynamic spatial properties (e.g.,
positions, orientations, and movements) of a welding tool 230
during a manual welding process producing a weld 16 (e.g., a weld
joint). The system 100 further includes the capability to
automatically track the sensed dynamic spatial properties of the
welding tool 230 over time and automatically capture (e.g.,
electronically capture) the tracked dynamic spatial properties of
the welding tool 230 during the manual welding process.
The system 100 also includes the capability to automatically
analyze the tracked data to determine performance characteristics
of a welder 10 performing the manual welding process and quality
characteristics of a weld 16 produced by the welding process. The
system 100 allows for the performance characteristics of the welder
10 and the quality characteristics of the weld to be reviewed. The
performance characteristics of a welder 10 may include, for
example, a weld joint trajectory, a travel speed of the welding
tool 230, welding tool pitch and roll angles, an electrode distance
to a center weld joint, an electrode trajectory, and a weld time.
The quality characteristics of a weld produced by the welding
process may include, for example, discontinuities and flaws within
certain regions of a weld produced by the welding process.
The system 100 further allows a user (e.g., a welder 10) to locally
interact with the system 100. In accordance with another embodiment
of the present invention, the system 100 allows a remotely located
user to remotely interact with the system 100. In either scenario,
the system 100 may automatically authorize access to a user of the
system 100, assuming such authorization is warranted.
In accordance with an embodiment of the present invention, the
system 100 for tracking and analyzing welding activity includes a
processor based computing device 110 configured to track and
analyze dynamic spatial properties (e.g., positions, orientations,
and movements) of a welding tool 230 over time during a manual
welding process producing a weld 16. The system 100 further
includes at least one sensor array 160, 165 operatively interfacing
to the processor based computing device 110 (wired or wirelessly)
and configured to sense the dynamic spatial properties of a welding
tool 230 during a manual welding process producing a weld 16. The
system 100 also includes at least one user interface operatively
interfacing to the processor based computing device 110. The user
interface may include a graphical user interface 135 and/or a
display device (e.g., a display 130 or a welding display helmet 180
where a display is integrated into a welding helmet as illustrated
in FIG. 2). The system 100 may further include a network interface
configured to interface the processor based computing device 110 to
a communication network 300 (e.g., the internet).
In accordance with an embodiment of the present invention, a method
500 (see FIG. 5) for tracking and analyzing welding activity
includes, in step 510, setting up a manual welding process, and, in
step 520, sensing dynamic spatial properties (e.g., positions,
orientations, and movements) of a welding tool 230 during a manual
welding process producing a weld using at least one sensor (e.g.,
sensor arrays 160 and 165). In step 530, the method includes
tracking the sensed dynamic spatial properties over time during the
manual welding process using a real time tracking module 121 (see
FIG. 4). The method also includes, in step 540, capturing the
tracked dynamic spatial properties as tracked data during the
manual welding process using a computer based (e.g., electronic)
memory device (e.g., a portion of the hardware 150 and software 120
of the processor based computing device 110). The method further
includes, in step 550, analyzing the tracked data to determine
performance characteristics of a welder 10 performing the manual
welding process and/or quality characteristics of a weld produced
by the welding process using a computer based analysis engine 122.
In step 560, at least one of the performance characteristics and
the quality characteristics are reviewed using a display device
(e.g., display device 130). Alternatively, a visualization module
or a testing module may be used in place of the display device 130,
as are well known in the art.
The method 500 may initially include selecting welding set up
parameters for the welding process via a user interface 135 as part
of step 510. The method may also include outputting the performance
characteristics of the welder 10 and/or the quality characteristics
of a weld to a remote location and remotely viewing the performance
characteristics and/or the quality characteristics via a
communication network 300 (see FIG. 3).
The system 100 for tracking and analyzing welding activity
comprises hardware and software components, in accordance with an
embodiment of the present invention. In one embodiment, the system
100 incorporates electronic hardware. More specifically, system 100
may be constructed, at least in part, from electronic hardware 150
(see FIG. 4) of the processor based computing device 110 operable
to execute programmed algorithms, also referred to herein as
software 120 or a computer program product. The processor based
computing device 110 may employ one or more logic processors
capable of being programmed, an example of which may include one or
more microprocessors. However, other types of programmable
circuitry may be used without departing from the intended scope of
coverage of the embodiments of the present invention. In one
embodiment, the processor based computing device 110 is operatively
disposed as a microcomputer in any of various configurations
including but not limited to: a laptop computer, a desktop
computer, a work station, a server or the like. Alternatively,
mini-computers or main frame computers may serve as the platform
for implementing the system 100 for tracking and analyzing welding
activity. Moreover, handheld or mobile processor based computing
devices may be used to execute programmable code for tracking and
analyzing performance data.
Other embodiments are contemplated wherein the system 100 is
incorporated into the welding system 200. More specifically, the
components comprising the system 100 may be integrated into the
welding power supply 210 and/or weld torch 230. For example, the
processor based computing device 110 may be received internal to
the housing of the welding power supply 210 and may share a common
power supply with other systems located therein. Additionally,
sensors 160, 165, used to sense the weld torch 230 dynamic spatial
properties, may be integrated into the weld torch handle.
The system 100 may communicate with and be used in conjunction with
other similarly or dissimilarly constructed systems. Input to and
output from the system 100, termed I/O, may be facilitated by
networking hardware and software including wireless as well as hard
wired (directly connected) network interface devices. Communication
to and from the system 100 may be accomplished remotely as through
a network 300 (see FIG. 3), such as, for example, a wide area
network (WAN) or the Internet, or through a local area network
(LAN) via network hubs, repeaters, or by any means chosen with
sound engineering judgment. In this manner, information may be
transmitted between systems as is useful for analyzing, and/or
re-constructing and displaying performance and quality data.
In one embodiment, remote communications are used to provide
virtual instruction by personnel, i.e. remote or offsite users, not
located at the welding site. Reconstruction of the welding process
is accomplished via networking. Data representing a particular weld
may be sent to another similar or dissimilar system 100 capable of
displaying the weld data (see FIG. 3). It should be noted that the
transmitted data is sufficiently detailed for allowing remote
user(s) to analyze the welder's performance and the resultant weld
quality. Data sent to a remote system 100 may be used to generate a
virtual welding environment thereby recreating the welding process
as viewed by offsite users as discussed later herein. Still, any
way of communicating performance data to another entity remotely
located from the welding site may be used without departing from
the intended scope of coverage of the embodiments of the subject
invention.
The processor based computing device 110 further includes support
circuitry including electronic memory devices, along with other
peripheral support circuitry that facilitate operation of the one
or more logic processor(s), in accordance with an embodiment of the
present invention. Additionally, the processor based computing
device 110 may include data storage, examples of which include hard
disk drives, optical storage devices and/or flash memory for the
storage and retrieval of data. Still any type of support circuitry
may be used with the one or more logic processors as chosen with
sound engineering judgment. Accordingly, the processor based
computing device 110 may be programmable and operable to execute
coded instructions in a high or low level programming language. It
should be noted that any form of programming or type of programming
language may be used to code algorithms as executed by the system
100.
With reference now to FIGS. 1-4, the system 100 is accessible by
the end user 10 via a display screen 130 operatively connected to
the processor based computing device 110. Software 120 installed
onto the system 100 directs the end user's 10 interaction with the
system 100 by displaying instructions and/or menu options on, for
example, the display screen 130 via one or more graphical user
interfaces (GUI) 135. Interaction with the system 100 includes
functions relating to, for example: part set up (weld joint set
up), welding activity analysis, weld activity playback, real time
tracking, as well as administrative activity for managing the
captured data. Still other functions may be chosen as are
appropriate for use with the embodiments of the present invention.
System navigation screens, i.e. menu screens, may be included to
assist the end user 10 in traversing through the system functions.
It is noted that as the system 100 is used for training and
analysis, security may be incorporated into the GUI(s) 135 that
allow restricted access to various groups of end users 10. Password
security, biometrics, work card arrangement or other security
measures may be used to ensure that system access is given only to
authorized users as determined by an administrator or
administrative user. It will be appreciated that the end user 10
may be the same or a different person than that of the
administrative user.
In one embodiment, the system 100 functions to capture performance
data of the end user 10 for manual activity as related to the use
of tools or hand held devices. In the accompanying figures,
welding, and more specifically, arc welding is illustrated as
performed by the end user 10 on a weldment 15 (e.g., a weld
coupon). The welding activity is recorded by the system 100 in real
time or near-real time for tracking and analysis purposes mentioned
above by a real time tracking module 121 and an analysis module
122, respectively (see FIG. 4). By recorded it is meant that the
system 10 captures data related to a particular welding process for
determining the quality of the weld joint or weld joints. The types
of performance data that may be captured include, but are not
limited to, for example: weld joint configuration or weld joint
trajectory, weld speed, welding torch pitch and roll angles,
electrode distance to the center weld joint, wire feed speed,
electrode trajectory, weld time, and time and date data. Other
types of data may also be captured and/or entered into the system
100 including: weldment materials, electrode materials, user name,
project ID number, and the like. Still, any type and quantity of
information may be captured and/or entered into the system 100 as
is suitable for tracking, analyzing and managing weld performance
data. In this manner, detailed information about how the welding
process for a particular weld joint was performed may be captured
and reconstructed for review and analysis in an analysis record
124.
The data captured and entered into the system 100 is used to
determine the quality of the real world weld joint. Persons of
ordinary skill in the art will understand that a weld joint may be
analyzed by various processes including destructive and
non-destructive methods, examples of which include sawing/cutting
or x-raying of the weld joint respectively. In prior art methods
such as these, trained or experienced weld personnel can determine
the quality of a weld performed on a weld joint. Of course,
destructive testing renders the weldment unusable and thus can only
be used for a sampling or a subset of welded parts. While
non-destructive testing, like x-raying, do not destroy the welded
article, these methods can be cumbersome to use and the equipment
expensive to purchase. Moreover, some weld joints cannot be
appropriately x-rayed, i.e. completely or thoroughly x-rayed. By
way of contrast, system 100 captures performance data during the
welding process that can be used to determine the quality of the
welded joint. More specifically, system 100 is used to identify
potential discontinuities and flaws within specific regions of a
weld joint. The captured data may be analyzed by an experienced
welder or trained professional (e.g., a trainer 123, see FIG. 4),
or in an alternative by the system 100 using the analysis module
122 for identifying areas within the weld joint that may be flawed.
In one example, torch position and orientation along with travel
speed and other critical parameters are analyzed as a whole to
predict which areas along the weld joint, if any, are deficient. It
will be understood that quality is achieved during the welding
process when the operator 10 keeps the weld torch 230 within
acceptable operational ranges. Accordingly, the performance data
may be analyzed against known good parameters for achieving weld
quality for a particular weld joint configuration.
FIG. 6 illustrates an example embodiment of a graph 600, displayed
on the display 130, showing tracked welding tool pitch angle 640
versus time with respect to an upper pitch angle limit 610, a lower
pitch angle limit 620, and an ideal pitch angle 630. The upper and
lower limits 610 and 620 define a range of acceptability between
them. Different limits may be predefined for different types of
users such as, for example, welding novices, welding experts, and
persons at a trade show. The analysis engine 122 may provide a
scoring capability, in accordance with an embodiment of the present
invention, where a numeric score is provided based on how close to
optimum (ideal) a user is for a particular tracked parameter, and
depending on the determined level of discontinuities or defects
determined to be present in the weld.
Performance data may be stored electronically in a database 140
(see FIG. 3) and managed by a database manager in a manner suitable
for indexing and retrieving selected sets or subsets of data. In
one embodiment, the data is retrieved and presented to an analyzing
user (e.g., a trainer 123) for determining the weld quality of a
particular weld joint. The data may be presented in tabular form
for analysis by the analyzing user. Pictures, graphs, and or other
symbol data may also be presented as is helpful to the analyzing
user in determining weld quality. In an alternative embodiment, the
performance data may be presented to the analyzing user in a
virtual reality setting, whereby the real world welding process is
simulated using real world data as captured by the system 100. An
example of such a virtual reality setting is discussed in U.S.
patent application Ser. No. 12/501,257 filed on Jul. 10, 2009. In
this way, the weld joint and corresponding welding process may be
reconstructed for review and analysis. Accordingly, the system 100
may be used to archive real data as it relates to a particular
welded article. Still, it will be construed that any manner of
representing captured data or reconstructing the welding process
for the analyzing user may be used as is appropriate for
determining weld quality.
In another embodiment, data captured and stored in the database 140
is analyzed by an analyzing module 122 (a.k.a., an analysis engine)
of the system 100. The analyzing module 122 may comprise a computer
program product executed by the processor based computing device
110. The computer program product may use artificial intelligence.
In one particular embodiment, an expert system may be programmed
with data derived from a knowledge expert and stored within an
inference engine for independently analyzing and identifying flaws
within the weld joint. By independently, it is meant that the
analyzing module 122 functions independently from the analyzing
user to determine weld quality. The expert system may be
ruled-based and/or may incorporate fuzzy logic to analyze the weld
joint. In this manner, areas along the weld joint may be identified
as defective, or potentially defective, and marked for subsequent
review by an analyzing user. Determining weld quality and/or
problem areas within the weld joint may be accomplished by
heuristic methods. As the system 100 analyzes welding processes of
the various end users over repeated analyzing cycles, additional
knowledge may be gained by the system 100 for determining weld
quality.
A neural network or networks may be incorporated into the analysis
engine 122 of the system 100 for analyzing data to determine weld
quality, weld efficiency and/or weld flaws or problems. Neural
networks may comprise software programming that simulates decision
making capabilities. In one embodiment, the neural network(s) may
process data captured by the system 100 making decisions based on
weighted factors. It is noted that the neural network(s) may be
trained to recognize problems that may arise from the weld torch
position and movement, as well as other critical welding factors.
Therefore, as data from the welding process is captured and stored,
the system 100 may analyze the data for identifying the quality of
the weld joint. Additionally, the system 100 may provide an output
device 170 (see FIG. 4) that outputs indications of potential flaws
in the weld such as, for example, porosity, weld overfill, and the
like.
In capturing performance data, the system 100 incorporates a series
of sensors, also referred to as sensor arrays 160, 165 (see FIG.
2). The sensor arrays 160, 165 include emitters and receivers
positioned at various locations in proximity to the weldment 15,
and more specifically, in proximity to the weld joint 16 for
determining the position and orientation of the weld torch 230 in
real time (or near real time). In one embodiment, the sensor arrays
160, 165 include acoustical sensor elements. It is noted that the
acoustical sensor elements may use waves in the sub-sonic and/or
ultra-sonic range. Alternate embodiments are contemplated that use
optical sensor elements, infrared sensor elements, laser sensor
elements, magnetic sensor elements, or electromagnetic (radio
frequency) sensor elements. In this manner, the sensor emitter
elements emit waves of energy in any of various forms that are
picked up by the sensor receiver elements. To compensate for noise
introduced by the welding process, the system 100 may also include
bandwidth suppressors, which may be implemented in the form of
software and/or electronic circuitry. The bandwidth suppressors are
used to condition the sensor signals to penetrate interference
caused by the welding arc. Additionally, the system 100 may further
incorporate inertial sensors, which may include one or more
accelerometers. In this manner, data relating to position,
orientation, velocity, and acceleration may be required to
ascertain the movements (i.e., motion) of the weld torch 230.
In one embodiment, part of the sensor arrays 160, 165 are received
by the weld torch 230. That is to say that a portion of the sensors
or sensor elements are affixed with respect to the body of the weld
torch 230 (see sensor array .[.160.]. .Iadd.165 .Iaddend.of FIG.
2). In other embodiments, sensors and/or sensor elements may be
affixed to a portion of the article being welded (see sensor array
.[.165.]. .Iadd.160 .Iaddend.of FIG. 2). Still any manner of
positioning and connecting the sensor elements may be chosen as is
appropriate for tracking welding activity.
As an example of sensing and tracking a welding tool 230, in
accordance with an embodiment of the present invention, a magnetic
sensing capability may be provided. For example, the receiver
sensor array 165 may be a magnetic sensor that is mounted on the
welding tool 230, and the emitter sensor array 160 may take the
form of a magnetic source. The magnetic source 160 may be mounted
in a predefined fixed position and orientation with respect to the
weldment 15. The magnetic source 160 creates a magnetic field
around itself, including the space encompassing the welding tool
230 during use and establishes a 3D spatial frame of reference. The
magnetic sensor 165 is provided which is capable of sensing the
magnetic field produced by the magnetic source. The magnetic sensor
165 is attached to the welding tool 230 and is operatively
connected to the processor based computing device 110 via, for
example, a cable, or wirelessly. The magnetic sensor 165 includes
an array of three induction coils orthogonally aligned along three
spatial directions. The induction coils of the magnetic sensor 165
each measure the strength of the magnetic field in each of the
three directions and provide that information to the real time
tracking module 121 of the processor based computing device 110. As
a result, the system 100 is able to know where the welding tool 230
is in space with respect to the 3D spatial frame of reference
established by the magnetic field produced by the magnetic source
160. In accordance with other embodiments of the present invention,
two or more magnetic sensors may be mounted on or within the
welding tool 230 to provide a more accurate representation of the
position and orientation of the welding tool 230, for example. Care
is to be taken in establishing the magnetic 3D spatial frame of
reference such that the weldment 15, the tool 230, and any other
portions of the welding environment do not substantially distort
the magnetic field created by the magnetic source 160. As an
alternative, such distortions may be corrected for or calibrated
out as part of a welding environment set up procedure. Other
non-magnetic technologies (e.g., acoustic, optical,
electromagnetic, inertial, etc.) may be used, as previously
discussed herein, to avoid such distortions, as are well known in
the art.
With reference to all of the figures, operation of the system 100
will now be described in accordance with an embodiment of the
present invention. The end user 10 activates the system 100 and
enters his or her user name via the user interface 135. Once
authorized access has been gained, the end user 10 traverses the
menu system as prompted by the computer program product 120 via the
GUI 135. The system 100 instructs the end user 10 to initiate set
up of the welding article 15, which includes entering information
about the weldment materials and/or welding process being used.
Entering such information may include, for example, selecting a
language, entering a user name, selecting a weld coupon type,
selecting a welding process and associated axial spray, pulse, or
short arc methods, selecting a gas type and flow rate, selecting a
type of stick electrode, and selecting a type of flux cored
wire.
In one embodiment, the end user enters the starting and ending
points of the weld joint 16. This allows the system 100, via the
real time tracking module 121, to determine when to start and stop
recording the tracked information. Intermediate points are
subsequently entered for interpolating the weld joint trajectory as
calculated by the system 100. Additionally, sensor emitters and/or
receivers 160, 165 are placed proximate to the weld joint at
locations suitable for gathering data in a manner consistent with
that described herein. After set up is completed, system tracking
is initiated and the end user 10 is prompted to begin the welding
procedure. As the end user 10 completes the weld, the system 100
gathers performance data including the speed, position and
orientation of the weld torch 230 for analysis by the system 100 in
determining welder performance characteristics and weld quality
characteristics as previously described herein.
In summary, a system and a method for tracking and analyzing
welding activity is disclosed. Dynamic spatial properties of a
welding tool are sensed during a welding process producing a weld.
The sensed dynamic spatial properties are tracked over time and the
tracked dynamic spatial properties are captured as tracked data
during the welding process. The tracked data is analyzed to
determine performance characteristics of a welder performing the
welding process and quality characteristics of a weld produced by
the welding process. The performance characteristics and the
quality characteristics may be subsequently reviewed.
While the claimed subject matter of the present application has
been described with reference to certain embodiments, it will be
understood by those skilled in the art that various changes may be
made and equivalents may be substituted without departing from the
scope of the claimed subject matter. In addition, many
modifications may be made to adapt a particular situation or
material to the teachings of the claimed subject matter without
departing from its scope. Therefore, it is intended that the
claimed subject matter not be limited to the particular embodiment
disclosed, but that the claimed subject matter will include all
embodiments falling within the scope of the appended claims.
* * * * *
References