U.S. patent application number 16/101838 was filed with the patent office on 2019-01-24 for intelligent control method for air condition device.
The applicant listed for this patent is DELTA ELECTRONICS, INC.. Invention is credited to Ping-Chieh CHAN, Hua-Yi HSIEH, Yuan-Ping HSIEH, Cheng-Yi HUANG.
Application Number | 20190022567 16/101838 |
Document ID | / |
Family ID | 55301432 |
Filed Date | 2019-01-24 |
View All Diagrams
United States Patent
Application |
20190022567 |
Kind Code |
A1 |
CHAN; Ping-Chieh ; et
al. |
January 24, 2019 |
INTELLIGENT CONTROL METHOD FOR AIR CONDITION DEVICE
Abstract
An intelligent control method applied in an intelligent control
system that is having an air condition device, an intelligent
control device, and a temperature sensor unit is disclosed and
including following steps of: sensing and recording a set of first
temperature values of a first time segment with the temperature
sensor unit in the first time segment before the air condition
device is started; calculating a temperature reference value by the
intelligent control device according to the set of first
temperature values after the air condition device is started; fine
adjusting the temperature reference value by the intelligent
control device according to a humidity value currently in the area;
and, querying a mode association table by the intelligent control
device according to fine adjusted temperature reference value to
determine an operation mode of the air condition device.
Inventors: |
CHAN; Ping-Chieh; (Taoyuan
City, TW) ; HSIEH; Hua-Yi; (Taoyuan City, TW)
; HUANG; Cheng-Yi; (Taoyuan City, TW) ; HSIEH;
Yuan-Ping; (Taoyuan City, TW) |
|
Applicant: |
Name |
City |
State |
Country |
Type |
DELTA ELECTRONICS, INC. |
Taoyuan City |
|
TW |
|
|
Family ID: |
55301432 |
Appl. No.: |
16/101838 |
Filed: |
August 13, 2018 |
Related U.S. Patent Documents
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Application
Number |
Filing Date |
Patent Number |
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14826414 |
Aug 14, 2015 |
10086322 |
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16101838 |
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62038076 |
Aug 15, 2014 |
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Current U.S.
Class: |
1/1 |
Current CPC
Class: |
G05D 23/1928 20130101;
G05B 19/0428 20130101; F24F 2120/10 20180101; F24F 11/62 20180101;
G05D 23/1919 20130101; Y02D 70/142 20180101; F24F 11/39 20180101;
Y02D 70/162 20180101; F24F 3/1603 20130101; G05B 19/048 20130101;
Y02D 70/166 20180101; Y02D 70/448 20180101; Y02D 30/70 20200801;
H04L 12/2827 20130101; F24F 11/30 20180101; F24F 2110/40 20180101;
G05B 19/042 20130101; G05B 2219/2614 20130101; Y02P 90/84 20151101;
Y02D 70/144 20180101; H04B 7/24 20130101; B01D 46/0086 20130101;
F24F 11/79 20180101; Y02D 70/26 20180101 |
International
Class: |
B01D 46/00 20060101
B01D046/00; H04L 12/28 20060101 H04L012/28; H04B 7/24 20060101
H04B007/24; F24F 11/62 20180101 F24F011/62; F24F 11/39 20180101
F24F011/39; F24F 11/30 20180101 F24F011/30; F24F 11/79 20180101
F24F011/79; F24F 3/16 20060101 F24F003/16; G05B 19/042 20060101
G05B019/042; G05B 19/048 20060101 G05B019/048; G05D 23/19 20060101
G05D023/19 |
Claims
1. An intelligent control method of air condition device applied in
an intelligent control system disposed in an area and having an air
condition device, an intelligent control device having a
temperature sensor unit for sensing surrounding temperature and
humidity of the intelligent control device, the intelligent control
method comprising: a) sensing and recording a set of first
temperature values of a first-time segment with the temperature
sensor unit in the first-time segment before the air condition
device is started; b) calculating a temperature reference value by
the intelligent control device according to the set of first
temperature values after the air condition device is started; c)
fine adjusting the temperature reference value by the intelligent
control device according to a humidity value currently in the area;
and d) querying a mode association table by the intelligent control
device according to fine adjusted temperature reference value to
determine an operation mode of the air condition device.
2. The intelligent control method of claim 1, wherein the mode
association table records a relation between the temperature
reference value and a plurality of the operation modes of the air
condition device, and in the step d), the air condition device is
controlled by the intelligent control device to adopt a cool mode
out of the plurality of operation modes when the temperature
reference value is higher than 25.degree. C., the air condition
device is controlled by the intelligent control device to adopt a
heating mode out of the plurality of operation modes when the
temperature reference value is lower than 16.degree. C., and the
air condition device is controlled by the intelligent control
device to adopt a fan mode out of the plurality of operation modes
when the temperature reference value is between 16.degree. C. and
25.degree. C.
3. The intelligent control method of claim 1, further comprising:
e) sensing and recording a set of second temperature values in a
second time segment via the temperature sensor unit after the step
d); f) calculating a temperature compared value by the intelligent
control device according to the set of second temperature values;
g) switching the operation mode of the air condition device to a
cool mode by the intelligent control device when the temperature
compared value being larger than a predetermined temperature; h)
switching the operation mode of the air condition device to a fan
mode by the intelligent control device when the temperature
compared value is smaller than the predetermined temperature; and
i) repeating the step e to step h before the air condition device
is turned off.
4. The intelligent control method of claim 3, wherein the
intelligent control system further comprises a mobile device
wirelessly connected to the intelligent control device, the mobile
device is configured to sense user information and receive feedback
information, and the intelligent control device is configured to
adjust the time lengths of the first-time segment and the second
time segment according to the user information and the feedback
information.
5. The intelligent control method of claim 4, wherein the mobile
device is a smart phone or a smart watch capable of sensing the
user information, and the user information at least contains
temperatures and heartbeats of a user.
6. The intelligent control method of claim 4, wherein the mobile
device is installed with an app for providing a motion sensing
feedback interface for receiving the user to input the feedback
information and for transmitting the user information and the
feedback information to the intelligent control device.
7. An intelligent control method of air condition device used in an
intelligent control system, the intelligent control system being
disposed in an area, and having an air condition device, an
intelligent control device wirelessly connecting to the air
condition, and a plurality of sensor beacons wirelessly connected
to the intelligent control device, the intelligent control method
comprising: a) sensing and recording a set of first temperature
values with the plurality of sensor beacons, wherein the set of
first temperature values comprise a plurality of temperature data
in the area within a first-time segment before the air condition
device is turned on; b) retrieving a temperature reference value by
calculating an average value of the set of first temperature values
by the intelligent control device after the air condition device is
started; c) calculating a humidity associated value according to a
humidity value currently in the area by the intelligent control
device; d) adjusting the temperature reference value according to
the humidity associated value by the intelligent control device; e)
controlling the started air condition device to operate with a cool
mode by the intelligent control device if the adjusted temperature
reference value being larger than 25.degree. C.; f) controlling the
started air condition device to operate with a heating mode by the
intelligent control device if the adjusted temperature reference
value being smaller than 25.degree. C.; and g) controlling the
started air condition device to operate with a fan mode by the
intelligent control device if the adjusted temperature reference
value being between 16.degree. C. and 25.degree. C.
8. The intelligent control method of claim 7, further comprising:
h) sensing and recording a set of second temperature values when
the air condition device is started and operated in the cool mode,
the heating mode or the fan mode, wherein the set of second
temperature values are recorded as a plurality of temperature data
in the area after the air condition device is started and within a
second time segment; i) retrieving a temperature compared value by
calculating an average value of the set of second temperature
values by the intelligent control device; j) controlling the air
condition device to operate in the cool mode by the intelligent
control device when the temperature compared value being larger
than a predetermined value; k) controlling the air condition device
to operate in the fan mode by the intelligent control device when
the temperature compared value being smaller than the predetermined
value; and l) repeating the step h to k before the air condition
device is turned off.
9. The intelligent control method of claim 8, wherein the
intelligent control device is configured to capture a biological
feature of a user and perform identity recognition with an image
capture device to determine whether the user enters the area, and
the intelligent control device is configured to start the air
condition device when determining that the user enters the
area.
10. The intelligent control method of claim 8, wherein the
intelligent control system further comprises a mobile device
wirelessly connected to the intelligent control device, the mobile
device is configured to sense user information of a user and is
installed with an app for providing motion sensor feedback
interface for receiving the user to input feedback information, the
mobile device is configured to transmit the user information and
the feedback information to the intelligent control device via the
app, wherein the user information at least comprises body
temperature and heartbeats of the user and the mobile device is a
smart phone or a smart watch capable of sensing the user
information.
11. An intelligent control method of air condition device applied
in an intelligent control system disposed in an area and having an
air condition device, an intelligent control device, and a
plurality of sensor beacons wirelessly connected to the intelligent
control device, the intelligent control method comprising: a)
sensing and recording a set of first temperature values of a
first-time segment with the plurality of sensor beacons in the
first-time segment before the air condition device is started; b)
calculating a temperature reference value by the intelligent
control device according to the set of first temperature values
after the air condition device is started; c) fine adjusting the
temperature reference value by the intelligent control device
according to a humidity value currently in the area; and d)
querying a mode association table by the intelligent control device
according to fine adjusted temperature reference value to determine
an operation mode of the air condition device.
Description
CROSS-REFERENCE TO RELATED APPLICATION
[0001] This application is a continuation application of U.S.
patent application Ser. No. 14/826,414, filed on Aug. 14, 2015, and
entitled "INTELLIGENT CONTROL METHOD FOR AIR CONDITION DEVICE,"
which claims priority to U.S. provisional patent application Ser.
No. 62/038,076 filed Aug. 15, 2014. The entire disclosures of the
above application are all incorporated herein by reference.
BACKGROUND OF THE INVENTION
Field of the Invention
[0002] The present invention relates to a control method for an air
condition device and more particularly related to an intelligent
control method for an air condition device.
Description of Prior Art
[0003] To efficiently control air condition devices in an area,
there are various intelligent air condition systems in the market.
Most current intelligent air condition systems mainly include an
air condition equipment and a sensor for detecting temperature and
humidity in an area. By such, the air condition equipment may
automatically operate according to temperature and humidity values
detected by the sensor. For example, if the temperature value is
too high, the air condition equipment enters a cool mode. If the
temperature is too low, the air condition equipment enters a
heating mode. If the humidity value is too high, the air condition
equipment enters a dry mode.
[0004] There is usually a control device designed for such
intelligent air condition systems for providing control to the air
condition equipment. The control device is usually disposed in the
same area of the air condition equipment and the sensor and has
simple operation and control functions. Specifically, the control
device may depend on simple information, i.e. sensed temperature
and humidity, to generate a corresponding control command and
control the air condition device to turn on, turn off or switch
operation modes according to the control command. Because the
generated parameters of the control command are too simple, the air
condition equipment may fail to satisfy the needs of users.
SUMMARY OF THE INVENTION
[0005] An objective of the technical solutions is to provide an
intelligent control method to automatically determine an
appropriate operation mode of an air condition device when it is
just activated according to multiple sensed data in the area.
[0006] To achieve the aforementioned objective, the intelligent
control method is mainly applied in an intelligent control system
disposed in an area and having an air condition device, an
intelligent control device, and a plurality of sensor beacons
wirelessly connected to the intelligent control device, and the
intelligent control method mainly includes the following steps of:
sensing and recording a set of first temperature values of a first
time segment with the plurality of sensor beacons in the first time
segment before the air condition device is started; calculating a
temperature reference value by the intelligent control device
according to the set of first temperature values after the air
condition device is started; fine adjusting the temperature
reference value by the intelligent control device according to a
humidity value currently in the area; and, querying a mode
association table by the intelligent control device according to
fine adjusted temperature reference value to determine an operation
mode of the air condition device.
[0007] Advantages of such solution may include that by reference to
the set of temperature values recorded for the area before the air
condition device is started, the air condition device can be
immediately controlled by the intelligent control device to operate
in an operation mode which is appropriate for the area right after
it is just started.
BRIEF DESCRIPTION OF DRAWINGS
[0008] FIG. 1 is a systematic diagram of an intelligent control
system according to a first embodiment;
[0009] FIG. 2A is a space arrangement diagram for the first
embodiment;
[0010] FIG. 2B is a building layout diagram of the first
embodiment;
[0011] FIG. 3 is a turn-off or turn-off control flow of an air
condition device of the first embodiment;
[0012] FIG. 4A is a switch flowchart of an air condition device of
the first embodiment;
[0013] FIG. 4B is an air condition device mode switching flowchart
of a second embodiment;
[0014] FIG. 5A is a temperature setting diagram of the first
embodiment;
[0015] FIG. 5B is a temperature setting diagram of a second
embodiment;
[0016] FIG. 6 is an air speed adjustment flowchart of the first
embodiment;
[0017] FIG. 7 is a direction adjustment flowchart of the first
embodiment;
[0018] FIG. 8 is an air condition device testing flowchart of the
first embodiment;
[0019] FIG. 9 is an intelligent control system diagram of the
second embodiment; and
[0020] FIG. 10 is a location detection flowchart of the first
embodiment.
DETAILED DESCRIPTION
[0021] A preferred embodiment accompanied with drawings is
explained as follows.
[0022] Please refer to FIG. 1, which is an intelligent control
system diagram of the first embodiment. The present solution
discloses an intelligent control system and an intelligent control
method used in the intelligent control system. In this embodiment,
the intelligent control system is disposed in an area and includes
at least an intelligent control device 1, multiple sensor beacons 2
and an air condition device 3. The intelligent control device 1 is
wirelessly connected to the multiple sensor beacons 2 and the air
condition device 3.
[0023] The multiple sensor beacons 2 are sensor beacons with
multiple types of sensors and these sensor beacons are wirelessly
connected to the intelligent control device 1 via Bluetooth Low
Energy (BLE).
[0024] In this embodiment, the intelligent control device 1 may
automatically control the air condition device 3 in the area
according to the intelligent control method. In other embodiments,
the intelligent control system may further include a heat recovery
ventilator, an air cleaner or an indoor/outdoor air circulator to
be disposed in the same area of the intelligent control device 1
and controlled by the intelligent control device 1. The air
condition device 3 is taken as an example in the following for
brevity.
[0025] Please be noted that the intelligent control device 1 mainly
provides control to the air condition device 3 according to various
environment parameters in the area. Specifically, the multiple
sensor beacons 2 are respectively disposed at different locations
of the area to separately sense temperature and humidity values at
different locations. Besides, the multiple sensor beacons 2 may be
disposed inside or outside the container body (not shown) of the
air condition device 3 to respectively sense internal and external
pressure values of the container body of the air condition device 3
and sense sound information during operation of the air condition
device 3, which is explained further as follows.
[0026] The intelligent control device 1 may have multiple sensor
units, e.g. a temperature sensor unit for sensing surrounding
temperature and humidity of the intelligent control device 1, a CO2
sensor unit for sensing CO2 amount in the area, a PM2.5 sensor unit
for sensing PM2.5 particles in the area, a Total Volatile Organic
Compound (TVOC) sensor unit like a Charge-Coupled Device (CCD)
device for detecting TVOC amount, an image capture unit for sensing
users in the area and for performing identity recognition.
[0027] As mentioned above, with the multiple sensor beacons 2 and
the multiple sensor unit, the intelligent control device 1 may
monitor environment in the area and perform corresponding control
of the air condition device 3, e.g. to turn on the air condition
device, to turn off the air condition device 3 or to switch an
operation mode of the air condition device 3.
[0028] Please refer to FIG. 2A and FIG. 2B, which respectively
illustrate spatial layout and building layout diagrams of the first
embodiment. In FIG. 2A, the intelligent control system is mainly
disposed in an environment space 6 like a floor building layer.
Specifically, if the environment space 6 has multiple areas like
multiple rooms or multiple office rooms, a set of the intelligent
control systems may be disposed in each area.
[0029] The intelligent control system may further include one or
more mobile devices 4 that are carried by users in the environment
space 6. With these mobile devices 4, the intelligent control
device 1 may obtain more environment parameters and thus provide a
more accurate control on the air condition device.
[0030] In FIG. 2B, if a building 60 has multiple floor building
layers, i.e. multiple environment spaces 6, a manager may dispose
one or multiple sets of the intelligent control systems in each
environment space 6. For brevity, in the following disclosure, it
is explained as an example in which a set of intelligent control
system is used for an area.
[0031] In an embodiment, the intelligent control device 1 mainly
retrieves turn-on or turn-off information of multiple luminaire
devices (not shown) in the area. The intelligent control device
automatically turns on the air condition device 3 when the turn-on
and turn-off information offset value is larger than a first
predetermined value showing that these luminaire devices being
turned on. In another embodiment, the intelligent control device 1
may further retrieve CO2 amount in the area with the CO2 sensor
unit and automatically turn on the air condition device 3 when the
CO2 amount is larger than a second predetermined value showing that
one or more users entering the area. However, such setting is only
used as an example, instead of limitation for the present
invention.
[0032] Please refer to FIG. 3, which is an air condition control
flowchart of an air condition device according to a first
embodiment. In the embodiment of FIG. 3, it is shown how the
intelligent control device 1 provide corresponding control to the
air condition device 3 according to environment parameters after
the air condition device 3 is turned on.
[0033] First, the intelligent control device 1 turns on the air
condition device 3 (step S10) according to the turn-on and turn-off
information or the CO2 amount. After the air condition device 3 is
turned on, a set of CO2 amount values is continuously recorded for
a first-time segment (step S12).
[0034] Specifically, the intelligent control device 1 regularly
senses CO2 amount, e.g. sensing per 30 seconds, in the area with
the CO2 sensor unit and records these data to a data array. If the
first-time segment is one hour, as an example, after the first-time
segment is passed, there are 120 entries of CO2 amount values in
the data array. After the first-time segment is passed, the
intelligent control device 1 continuously senses CO2 amount in the
area and replaces old data of the data array with new data to keep
the data array containing data amount of the first-time segment,
i.e. the entry number of the first CO2 amount values satisfying the
data amount for the first-time segment.
[0035] After the step S12, the intelligent control device 1
determines whether the luminaire devices are turned off (step S14).
Specifically, these luminaire devices are determined whether being
turned off depending on the turn-on and turn-off information. If
these luminaire devices are not turned off, it is returned to step
S12 to continuously sense and update the set of first CO2 amount
values.
[0036] If these luminaire devices are turned off, the intelligent
control device 1 calculates an average value of the set of first
CO2 amount values to obtain a CO2 reference value (step S16).
Specifically, the CO2 reference value refers to an average value of
CO2 amount values in the area in the first-time segment before
these luminaire devices are turned off.
[0037] After the step S16, the intelligent control device 1 starts
sensing and recording a set of second CO2 amount values (step S18)
in a second time segment in the area with the CO2 sensor unit. The
set of second CO2 amount values are recorded in the same manner as
the set of first CO2 amount values and thus it is not repeated
here.
[0038] After the set of second CO2 amount values are recoded, the
intelligent control device 1 calculates an average value of the set
of second CO2 amount values to retrieve a CO2 compared value (step
S20). Specifically, the CO2 compared value refers to an average
value of CO2 amount values in the area in the second time segment
after these luminaire devices are turned off.
[0039] After the step S20, the intelligent control device 1 compare
the CO2 reference value to the CO2 compared value to determine a
varying trend of CO2 amount in the area after these luminaire
devices are turned off. By such, the intelligent control device 1
may depend on the varying trend to determine whether users in the
area have left or users not leaving but only some luminaire devices
being turned off for providing corresponding control to the air
condition device 3.
[0040] In an embodiment, if the CO2 amount trend in the area is
rising (step S24), the intelligent control device 1 determines that
users do not leave the area and the air condition is kept turned on
and the air condition device 3 is kept at current operation mode
(step S26).
[0041] In another embodiment, if the CO2 amount trend in the area
is decreasing (step S28), the intelligent control device 1
determines that users have left the area and thus automatically
switches the operation mode of the air condition device 3.
[0042] Specifically, after the step S28, the intelligent control
device 1 further determines whether a current operation mode of the
air condition device 3 is a cool mode (step S30). If the air
condition device 3 is currently using the cool mode, the
intelligent control device 1 controls the air condition device to
switch to a fan mode (step S32). If the air condition device 3 is
not using the cool mode, the intelligent control device 1 further
determines whether the air condition device 3 is running in the fan
mode (step S34). If the air condition device 3 is using the fan
mode, the intelligent control device 1 turns off the air condition
device 3 (step S36).
[0043] In another embodiment, the intelligent control device 1
records a CO2 minimum value in the area. The CO2 minimum value may
be set when the intelligent control device 1 is manufactured, set
by a manager, or calculated by long term sensing and recorded
values of the intelligent control device 1. Other configuration
settings may be adopted and it is not limited to these examples for
the invention scope. In this embodiment, if the intelligent control
device 1 determines that the CO2 amount in the area is lower than
the CO2 minimum value (step S38), no matter which operation mode is
currently used by the air condition device 3, the intelligent
control device 1 turns off the air condition device 3 directly
(step S40).
[0044] Please refer to FIG. 4A, which is an air condition device
mode switch flowchart of the first embodiment. FIG. 4A illustrates
an embodiment showing how the intelligent control device 1 selects
a most fit operation mode for the air condition device 3 when the
air condition device 3 is just started.
[0045] Before the air condition device 3 is not started, the
intelligent control device 1 continuously senses and records a set
of first temperature values (step S50) in a third time segments in
the area. Specifically, the intelligent control device 1 regularly
senses temperature data in the area with the multiple sensor
beacons 2 or the temperature sensor unit and record these data to
the data array. In this embodiment, the set of first temperature
values include sufficient multiple temperature data corresponding
to data amount necessary for the third time segment. The recording
method for the set of third time segment is similar for recording
the set of first time segment and thus it is not repeated here.
[0046] When the intelligent control device 1 senses and records the
set of first temperature values, it is continuously determined
whether the air condition device 3 is started (step S52). The air
condition device 3 may be started by the control of the intelligent
control device 1 or manually started by a user. Before the air
condition device 3 is started, the intelligent control device 1
repeatedly performs the step S50 to update the set of first
temperature values.
[0047] After the air condition device 3 is turned on, the
intelligent control device 1 calculates an average value of the set
of first temperature values to obtain a temperature reference value
(step S54). In this embodiment, the intelligent control device 1
relies on the temperature reference value to determine the first
operation mode to be used by the air condition device 3 after the
air condition device 3 is started.
[0048] Please be noted that the humidity of the area affects
feeling of users. For example, for high humidity, users may feel
less than actual temperature and for low humidity, users may feel
higher than actual temperature. As such, the intelligent control
device 1 may selectively sense humidity value in the area via the
multiple sensor beacons 2 or the temperature sensor unit to fine
adjust the temperature reference value based on the sensed humidity
value. For example, if the humidity value is larger than 60%, the
temperature reference value is adjusted 2.degree. C. higher and if
the humidity value is smaller than 20%, the temperature reference
value is adjusted 2.degree. C. lower.
[0049] Specifically, the intelligent control device 1 firstly
senses the humidity value in the area and calculates a humidity
associated value (step S56). The intelligent control device 1 then
adjusts the temperature reference value (step S58) according to the
humidity associated value. Finally, the intelligent control device
1 queries a mode association table according to adjusted
temperature reference value to determine an operation mode after
the air condition device 3 is started (step S60).
[0050] In this embodiment, the mode association table may be
downloaded from a cloud server (not shown) to the intelligent
control device 1. The mode association table records a
corresponding relation between the temperature reference value and
multiple operation modes of the air condition device 3. The
corresponding relation may be obtained based on history data, user
habit and/or weather information gathered by a weather bureau.
However, other methods may still be adopted.
[0051] For example, the mode association table may record that when
the temperature reference value is larger than 25.degree. C., the
air condition device 3 is operated in the cool mode, when the
temperature reference value is smaller than 16.degree. C., the air
condition device 3 is operated in a heating mode, and when
temperature reference value is between 16.degree. C. and 25.degree.
C., the air condition device 3 is operated in the fan mode.
However, this is just an example, not to limit the invention
scope.
[0052] Please refer to FIG. 4B, which illustrate operation mode
switching flowchart of the air condition device according to a
second embodiment. In FIG. 4B, it is shown how the intelligent
control device 1 dynamically switches the operation mode of the air
condition device 3 after the air condition device 3 is started.
[0053] After the air condition device 3 is started, the intelligent
control device 1 senses and records a set of second temperature
values (step S62) in the area in the fourth time segment. In this
embodiment, the set of second temperature values contain sufficient
temperature records satisfying necessary data amount for the fourth
time segment. In addition, the set of second temperature values are
recorded similar to the set of first temperature values and it is
not repeated here again.
[0054] When the fourth time segment is passed, the intelligent
control device 1 calculates an average value of the set of second
temperature values to obtain a temperature compared value (step
S64). In this embodiment, the temperature compared value refers to
an average temperature in the area for the fourth time segment.
Next, the intelligent control device 1 adjusts the operation mode
of the air condition device 3 according to the temperature compared
value (step S66).
[0055] After the step S66, the intelligent control device 1
determines whether the air condition device 3 is turned off (step
S68). The intelligent control device 1 repeats the steps S62 to S66
before the air condition device 3 is turned off to continuously
sense average temperature in the area and dynamically adjusts the
operation mode of the air condition device 3 according to the
average temperature.
[0056] Specifically, the intelligent control device 1 compare the
temperature compared value with a predetermined temperature to
determine whether the average temperature in the area is too hot,
fine or too cold and further switches the operation mode of the air
condition device 3 accordingly. For example, if the temperature
compared value is larger than the predetermined temperature, the
air condition device 3 is switched to the cool mode, and if the
temperature compared value is smaller than the predetermined
temperature, the air condition device 3 is switched to the fan
mode. However, please be noted that these examples do not limit the
invention scope.
[0057] In this embodiment, the predetermined temperature may be set
by the intelligent control device 1 in advance, manually set by a
manager or dynamically set by the intelligent control device 1
according to environment temperature in the area. These examples do
not limit the invention scope.
[0058] Please refer to FIG. 5A and FIG. 5B, which illustrate
predetermined temperature setting of the first embodiment and the
second embodiment. As mentioned above, the predetermined
temperature may not be a fixed value but dynamically set by the
intelligent control device 1 according to environment temperature
in the area. The embodiments in FIG. 5A and FIG. 5B respectively
how the intelligent control device 1 dynamically set the
predetermined temperature.
[0059] In FIG. 5A, the intelligent control device 1 may set an
upper temperature, e.g. 30.degree. C. and a conversion temperature,
e.g. 25.degree. C. When the environment temperature is larger than
the upper temperature, the predetermined temperature is set as a
minimum value, 20.degree. C. in this example, and the air condition
device 3 is switched to the cool mode. By such, rapid cooling
technical effect is achieved.
[0060] When the environment temperature is decreased and falling
between the upper temperature and the first conversion temperature,
e.g. between 25.degree. C. and 20.degree. C., the predetermined
temperature is adjusted. In other words, the predetermined
temperature is increased when the environment temperature is
decreased. As such, the air condition device 3 is still operated in
the cool mode.
[0061] When the area environment temperature is smaller than the
first conversion temperature, the predetermined temperature is kept
at a fixed temperature, e.g. 25.degree. C. in this example, and
when the area environment temperature is smaller than the first
conversion temperature which means the area is in comfortable zone,
the predetermined temperature is not changed following the
environment temperature. In such case, the air condition device 3
is switched to the fan mode.
[0062] In FIG. 5B, the intelligent control device 1 may set a
second conversion temperature, e.g. 16.degree. C., and a bottom
temperature, e.g. 12.degree. C. When the area environment
temperature is larger than the second conversion temperature, the
predetermined temperature is set as a standard value, 22.degree. C.
in this example, and the air condition device 3 is operated in the
fan mode.
[0063] When the area environment temperature is fallen within the
second conversion temperature and the bottom temperature, the
predetermined temperature is adjusted, 22.degree. C. to 28.degree.
C. in this example. In other words, the predetermined temperature
is increased when the area environment temperature is decreased. In
such case, the air condition device 3 is switched to the heating
mode.
[0064] When the area environment temperature is smaller than the
bottom temperature, 12.degree. C. in this example, the
predetermined temperature is kept at a fixed temperature,
28.degree. C. in this example. In addition, when the area
environment temperature is smaller than the bottom temperature, the
predetermined temperature is not changed following the environment
temperature. In such case, the air condition 3 is kept operating in
the heating mode.
[0065] As mentioned above, the intelligent control device may keep
adjusting the air condition device continuously according to the
area environment temperature to achieve a comfortable environment
for users via the set of second temperature values sensing records
and adjustment of predetermined temperature.
[0066] Please refer to FIG. 6, which is a fan speed adjustment
flowchart of the first embodiment. The embodiment of FIG. 6 relates
to how the intelligent control device 1 adjusts fan speed of the
air condition device 3 dynamically after the air condition device 3
is started according to area environment parameters.
[0067] Firstly, the intelligent control device 1 senses and records
a set of peripheral temperature values in the area for a fifth time
segment with the multiple sensor beacons 2. In this embodiment, the
multiple sensor beacons 2 are respectively disposed in peripheral
sections of the area, and thus the sensed temperature data
correspond to peripheral temperature status of the area. In
addition, the set of peripheral temperature values contain
sufficient multiple temperature records satisfying the record
amount for the fifth time segment. The recording method for the set
of peripheral temperature values is similar to the set of first
temperature values and the set of second temperature values and
thus it is not repeated here again.
[0068] The intelligent control device 1 further senses and records
a set of central temperature values (step S82) in the area for the
fifth time segment with the temperature sensor unit. In this
embodiment, the intelligent control device 1 is mainly disposed at
center position of the area, e.g. on a conference room table, and
thus the sensed temperature data correspond to temperature status
in the center section of the area. In addition, the set of central
temperature values contain sufficient multiple temperature records
satisfying the record amount for the fifth time segment. The
recording method for the set of central temperature values is
similar to the set of first temperature values and the set of
second temperature values and thus it is not repeated here
again.
[0069] The smart control device 1 further senses and records a set
of third CO2 amount values in the area for the fifth time segment
(step S84) with the CO2 sensor unit. In addition, the set of third
CO2 amount values contain sufficient CO2 records satisfying the
record amount for the fifth time segment. The recording method for
the set of CO2 values is similar to the set of second CO2 values
and thus it is not repeated here again.
[0070] Please be noted that the step S80, the step S82 and the step
S84 may be performed concurrently and use the same fifth time
segment.
[0071] After the fifth time segment, e.g. 3 minutes or 5 minutes,
is passed, the intelligent control device 1 calculates the average
value of the set of peripheral temperature values to obtain a first
temperature average value (step S86), calculates the average value
of set of the central temperature values to obtain a second
temperature average value (step S88), and calculates the average
value of the set of third CO2 amount values to obtain a CO2 average
value (step S90). The steps S86, S88 and S90 may be performed in
parallel and may not have order sequence relation among each
other.
[0072] After the first temperature average value, the second
temperature average value and the CO2 average value are calculated,
the intelligent control device 1 calculates a temperature offset
(step S92) in the area according to the first temperature average
value and the second temperature average value. Specifically, the
first temperature average value represents an average temperature
in peripheral sections of the area for a passing time period, i.e.
the fifth time segment, and the second temperature average value
represents an average temperature in the central section of the
area for the passing time period. Thus, a temperature offset
between peripheral sections and central section of the area for the
passing time period by minus the first temperature average value
with the second temperature average value.
[0073] After the step S92, the intelligent control device 1 obtains
a first fan speed value and a first percentage value (step S94) by
querying a fan speed association table according to the temperature
offset value. Meanwhile, the intelligent control device 1 further
queries the fan speed association table according to the CO2
average value to obtain a second fan speed value and a second
percentage value (step S96). The step S94 and the step S95 may be
performed concurrently and may not have order sequence relation to
each other.
[0074] Finally, the intelligent control device 1 calculates a final
fan speed value (step S98) for controlling the air condition device
3 according to the first fan speed value, the first percentage
value, the second fan speed value and the second percentage value.
The intelligent control device 1 then determines whether the air
condition device 3 is turned off (step S100) and repeats the step
S80 to S98 before the air condition device 3 is turned off to
continuously sense the temperature offset and CO2 amount in the
area and to dynamically adjust the fan speed of the air condition
device 3 to solve problems of large temperature offset or high CO2
amount.
[0075] Please be noted that the aforementioned fan speed
association table may be stared in the intelligent control device 1
in advance or downloaded from a cloud server to the intelligent
control device 1. In this embodiment, the fan speed association
table records relation among the temperature offset, the first fan
speed value, and the first percentage value and relation among the
CO2 average value, the second fan speed value and the second
percentage value.
[0076] An example of such fan speed association table is
illustrated as follows:
TABLE-US-00001 Fan Speed Association Table first fan first CO2
second fan second temperature speed percentage average speed
percentage offset value value value value value 1.degree. C. 20%
40% >600 ppm 20% 40% 2.degree. C. 50% 60% >800 ppm 40% 60%
More than 100% 80% >1000 80% 80% 3.degree. C. ppm >1500 100%
100% ppm
[0077] In the table, if the intelligent control device 1 determines
the current temperature offset is 2.degree. C., and the CO2 average
value is larger than 1000 ppm, the query to the fan speed
association table enables the intelligent control device 1 to
obtain the final fan speed value as (50%*0.6)+(80%*0.8)=94%. In
other words, the intelligent control device 1 generates a
corresponding control command according to the final fan speed
value and uses the control command to adjust the air condition
device 3 for its fan speed. In this example, the air condition
device 3 receives the control command and adjusts its fan speed to
94%.
[0078] Please be noted that if the intelligent control device 1
calculates a final fan speed value larger than 100%, the air
condition device 3 still keeps its fan speed at 100%.
[0079] Please refer to FIG. 7, which illustrates a direction
adjustment flowchart of the first embodiment. The embodiment of
FIG. 7 shows how an intelligent control device 1 dynamically
adjusts the fan direction of the air condition device 3, i.e. the
fan swift direction, according to environment parameters of the
area after the air condition device 3 is started.
[0080] During the air condition device 3 is operated, it mainly
adjusts its fan direction according to a predetermined cycling
pattern. When the intelligent control device 1 calculates the
temperature offset value and the CO2 average value according to the
technical solution of FIG. 6, the intelligent control device 1 may
further determines whether the temperature offset value or the CO2
average value is larger than a threshold value (step S110). If the
temperature offset value or the CO2 average value is larger than
the threshold, the intelligent control device 1 adjusts the fan
direction of the air condition device 3 to make its fan direction
facing to a specific direction (step S112).
[0081] For example, if the temperature offset value is larger than
the threshold value and the first temperature average value is
larger than the second temperature average value, it means that the
peripheral temperature is larger than the central temperature. In
such case, the intelligent control device 1 instructs the air
condition device 3 to adjust its fan direction towards peripheral
sections of the area, i.e. where the multiple sensor beacons 2 are
disposed to decrease the temperature offset value.
[0082] In another example, if the CO2 average value is larger than
the threshold value, it means that there are many users in the area
and these users are gathered around the intelligent control device
1 and thus the CO2 amount around the intelligent control device 1
does not lower down. In such case, the intelligent control device 1
may instruct the air condition device 3 to adjust its fan direction
to the central section of the area, i.e. where the intelligent
control device 1 is disposed, to make the CO2 in the central
section of the area may evenly move to other places in the area to
decrease the CO2 average value.
[0083] In another example, the intelligent control device 1 may
record the positions of the multiple sensor beacons 2 in advance,
and respectively compares the temperature data of the temperature
sensor unit and temperature data of each sensor beacon 2. When a
specific sensor beacon 2 reports an over high sensed temperature
and temperature offset between the sensed temperature of the
specific sensor beacon 2 and the sensed temperature of the
temperature sensor unit is larger than a threshold value, the
intelligent control device 1 may instruct the air condition device
3 to adjust its fan direction to the position where the specific
sensor beacon 2 is disposed so that to decrease the temperature
offset between the disposed position and other positions.
[0084] After the step S112, the intelligent control device 1
determines whether the situation is excluded, i.e. the case that
the temperature offset is too large or the CO2 average value is too
large (step S114). If the answer is no, the intelligent control
device 1 further determines whether a predetermined time period is
passed (step S116), and continuously determines whether the
situation is excluded before the predetermined time period is
passed.
[0085] If the temperature offset value or the CO2 average value is
decreased or the predetermined time period is passed but the
situation is still not excluded, the intelligent control device 1
controls the fan direction of the air condition device 3 to recover
the fan direction to the predetermined cycle pattern (step S118).
In addition, the intelligent control device 1 determines whether
the air condition device 3 is turned off, and repeats the step S110
to the step S118 before the air condition device 3 is turned off
and continuously adjust the fan direction of the air condition
device 3.
[0086] Please be noted that if the air condition device 3 is
adjusted for its fan direction but the situation is still not
excluded after the predetermined time period, the intelligent
control device 1 concludes it is a special case, e.g. the specific
direction is a window or a position for disposing a heating
equipment. Therefore, after the predetermined time period, no
matter whether the situation is excluded, the intelligent control
device 1 recovers the air condition device 3 to the predetermined
cycle pattern.
[0087] In addition, as mentioned above, the intelligent control
device 1 may further include a PM2.5 sensor unit and a TVOC sensor
unit. In this example, the intelligent control device 1 may
directly control the air condition device 3 to adjust its fan
direction toward the position where the intelligent control device
1 is disposed, i.e. the central position of the area, when the
PM2.5 or TVOC amount is too high or over a dangerous value. After
the PM2.5 or TVOC amount in the central position of the area is
decreased, the air condition device 3 is recovered to its original
cycle pattern. By such, it prevents danger when too many users area
gather around the intelligent control device 1.
[0088] Please be noted that the intelligent control device 1, as
mentioned above, may also have an image capture unit (not shown).
In an example, the intelligent control device 1 may capture
biological feature of a person and performs identity recognition
with the image capture unit to determine whether there is a person
entering the area. As such, the intelligent control device 1 may
determine a person entering the area and control the air condition
device 3 to turn on.
[0089] Specifically, it cannot solve the problem when users forget
to turn off luminaire devices if simply relying on checking turn-on
and turn-off information of the luminaire devices to control the
air condition device 3. If simply relying on CO2 amount to control
the air condition device 3, it is not able to determine whether
there is actually a person in the area, e.g. a pet may also change
CO2 amount in the area. Therefore, by accompanying use of the image
capture unit, the intelligent control device 1 may provide a more
accurate control.
[0090] In this embodiment, the intelligent control device 1 may
further upload the biological feature of a person to a cloud server
to perform identity recognition of the person. As such, the
intelligent control device 1 may recognize the identity of the
person. As such, if there are multiple intelligent control devices
1 disposed in the building 60 and these intelligent control devices
1 are equipped with the image capture unit, a manager may know
positions of all people via the cloud server.
[0091] Please refer to FIG. 8, which is a testing flowchart for the
air condition device of the first embodiment. In this embodiment,
the multiple sensor beacons 2 include a pressure sensor for sensing
pressure values and a sound sensor for sensing sound information.
FIG. 8 illustrates a technical solution in which multiple sensor
beacons 2 are disposed inside the container body of the air
condition device 3 to sense the pressure value and sound
information to test whether the air condition is damaged.
[0092] Firstly, the intelligent control device 1 may automatically
set or manually set by a manager for a testing period, e.g. 12 am
midnight. In this example, the testing time means no user uses the
air condition device 3.
[0093] The intelligent control device 1 continuously determines
whether the testing time period is reached (step S130). If the
testing time period is reached, the air condition device 3 is
automatically turned on and the air condition device 3 is
controlled to enter a testing mode (step S132). In the testing
mode, the air condition device 3 is set to run with a fixed fan
speed (step S134).
[0094] Then, the intelligent control device 1 uses the multiple
sensor beacons 2, i.e. the pressure sensors, to respectively sense
inner and outer pressure values inside and outside the container
body of the air condition device 3 to calculate a pressure offset
value (step S136). Meanwhile, the intelligent control device 1 uses
the multiple sensor beacons 2, i.e. the sound sensors, to detect
sound information inside the container body of the air condition
device 3 (step S138). The step S136 and the step S138 may be
performed at the same time, and there is no limitation on their
sequence order for execution.
[0095] Then, the intelligent control device 1 compares the pressure
offset value and the sound information with threshold values set
during manufacturing (step S140) to determine whether the air
condition device 3 is abnormal (step S142). Specifically, the
threshold values during manufacturing record pressure values inside
the container body and outside the container body and sound
information inside the container body running at the fixed fan
speed when the air condition device 3 is manufactured. By comparing
of step S140, the intelligent control device 1 determines whether
the motor of the air condition device 3 is abnormal, blocking in
the filter or hardware driving program error.
[0096] If abnormal situation is found during the step S142, the
intelligent control device 1 sends out a warning message (step
S144), e.g. sending a warning message to the cloud server or a
mobile device 4 owned by a manager. These examples do not limit the
invention scope. At last, after the testing mode is completed, the
intelligent control device turns off the air condition device 3
(step S146).
[0097] With the embodiment of FIG. 8, the intelligent control
device 1 may regularly test the air condition device 3 to save man
power and cost for regularly performing maintenance.
[0098] Please refer to FIG. 9, which is an intelligent control
system diagram of the second embodiment. FIG. 9 illustrates an
embodiment how the mobile device 4 and the intelligent control
device 1 to communicate with each other.
[0099] The mobile device 4 is carried by a user for detecting user
information of the user, e.g. body temperature or heartbeats.
Specifically, the mobile device 4 is a smart phone or a smart watch
capable of sensing user information. These examples do not limit
the invention scope.
[0100] In this embodiment, the mobile device 4 is installed with an
app (Application Program) 40. The mobile device 4 uses the app 40
to wirelessly connect to the intelligent control device 1 to
transmit the user information to the intelligent control device 1.
In addition, the mobile device 4 may use the app 40 to provide a
motion sensor feedback interface and use the motion sensor feedback
interface to receive an input of the user, e.g. too hot or too
cold. In addition, the app 40 may transmit the feedback information
to the intelligent control device 1.
[0101] When the user is located in the area, the intelligent
control device 1 may wireless connect to the mobile device 4 and
uses the app 40 to receive the user information and the feedback
information. As such, the user body condition may be used as one of
environment parameters. In a preferred embodiment, the intelligent
control device 1 may adjust the third time segment and the fourth
time segment for the embodiments of FIG. 4A and FIG. 4B according
to the user information and the feedback information. As such, the
mode switching time of the air condition device 3 may be adjusted
to make the user feel more comfortable.
[0102] On the other hand, the mobile device 4 may also connect to a
customer service system 7 via a network system. When the user finds
the intelligent control system having any problem, the app 40 may
be used for sending a query message to the customer service system
7. The query message, for example, may include the number of
locations of the intelligent control system and abnormal situations
occurred.
[0103] A maintenance person may receive the query message from the
app 40 via the customer service system 7 and connects to the
corresponding intelligent control device 1 via the network system
to check and fix the abnormal situation reported by the user. As
such, the maintenance person does not need to move to the real
place to check the intelligent control system to effectively lower
man cost.
[0104] Please refer to FIG. 10, which illustrate a position
detection flowchart of the first embodiment. FIG. 10 illustrates an
embodiment how the intelligent control device 1 uses the mobile
device 4 to determine the position of the user.
[0105] In this example, the mobile device 4 contains a Bluetooth
transmission unit support BLE function and the Bluetooth
transmission unit has an unique Media Access Control (MAC)
address.
[0106] When the user tries to connect to the intelligent control
device 1 or the customer service system 7, the app 40 is activated
on the mobile device (step S150). When the app 40 is activated, it
automatically turns on the Bluetooth transmission unit in the
mobile device 4 (step S152). Meanwhile, if the mobile device 4 is
located in any wireless transmission range of any intelligent
control device 1 in the building 60, the intelligent control device
1 detects the existence of the mobile device 4 (step S154) and
retrieves the MAC address of the Bluetooth transmission unit of the
mobile device 4.
[0107] In this example, the intelligent control device 1 is
disposed in a specific area, like a factory, a warehouse, or a
server room, and records all MAC addresses of Bluetooth
transmission units of the mobile devices 4 that are allowed to
enter the specific area, i.e. all users allowed to enter the
specific area). After the step S154, the intelligent control device
1 determines whether the mobile device 4, i.e. the user, is allowed
to appear at the specific area (step S156) according to the
retrieved MAC address.
[0108] If the intelligent control device 1 determines that the
mobile device 4 is not allowed to appear at the specific area, i.e.
the intelligent control device 1 does not record the MAC address,
the intelligent control device 1 sends out a warning message (step
S158), e.g. sending the message to a cloud server or a mobile
device 4 of a manager.
[0109] On the other hand, if the intelligent control device 1
determines that the mobile device 4 is allowed to appear in the
specific area, the intelligent control device 1 establishes a
connection to the mobile device 4 via BLE function (step S160). As
such, the user uses the mobile device 4 and the app 40 to check
information of the intelligent control device 1, the multiple
sensor beacons 2 and the air condition device 3.
[0110] The foregoing descriptions of embodiments of the present
invention have been presented only for purposes of illustration and
description. They are not intended to be exhaustive or to limit the
present invention to the forms disclosed. Accordingly, many
modifications and variations will be apparent to practitioners
skilled in the art. Additionally, the above disclosure is not
intended to limit the present invention. The scope of the present
invention is defined by the appended claims.
* * * * *