CN111271810B - Air conditioner control method, control system, air conditioner and computer storage medium - Google Patents

Air conditioner control method, control system, air conditioner and computer storage medium Download PDF

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CN111271810B
CN111271810B CN202010016794.6A CN202010016794A CN111271810B CN 111271810 B CN111271810 B CN 111271810B CN 202010016794 A CN202010016794 A CN 202010016794A CN 111271810 B CN111271810 B CN 111271810B
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temperature
trend
air conditioner
sampling points
module
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CN111271810A (en
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赵小录
程雨濛
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Aux Air Conditioning Co Ltd
Ningbo Aux Electric Co Ltd
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Aux Air Conditioning Co Ltd
Ningbo Aux Electric Co Ltd
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    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00—Control or safety arrangements
    • F24F11/30—Control or safety arrangements for purposes related to the operation of the system, e.g. for safety or monitoring
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00—Control or safety arrangements
    • F24F11/50—Control or safety arrangements characterised by user interfaces or communication
    • F24F11/56—Remote control
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00—Control or safety arrangements
    • F24F11/62—Control or safety arrangements characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
    • F24F11/63—Electronic processing
    • F24F11/64—Electronic processing using pre-stored data
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00—Control or safety arrangements
    • F24F11/62—Control or safety arrangements characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
    • F24F11/63—Electronic processing
    • F24F11/65—Electronic processing for selecting an operating mode
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00—Control or safety arrangements
    • F24F11/70—Control systems characterised by their outputs; Constructional details thereof
    • F24F11/72—Control systems characterised by their outputs; Constructional details thereof for controlling the supply of treated air, e.g. its pressure
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00—Control or safety arrangements
    • F24F11/88—Electrical aspects, e.g. circuits
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F2120/00—Control inputs relating to users or occupants
    • F24F2120/20—Feedback from users

Abstract

The invention provides an air conditioner control method, a control system, an air conditioner and a readable storage medium. The invention has the advantages that a large amount of trend storage of the user temperature is carried out by means of the performance and the storage capacity of the server, the trend graph is drawn, the operation mode and the set temperature in the air conditioner control instruction are calculated according to the rising or falling trend of the user temperature and the stable temperature, and the air conditioner is controlled to automatically adjust.

Description

Air conditioner control method, control system, air conditioner and computer storage medium
Technical Field
The invention relates to the technical field of air conditioners, in particular to an air conditioner control method, a control system, an air conditioner and a computer storage medium.
Background
The temperature sensing bulb of the common air conditioner is arranged at the air return opening of the indoor unit of the air conditioner and is controlled by taking the temperature at the air return opening as a control quantity. However, the temperature at the air return opening is equal to the temperature sensed by a human body. The temperature at the air return opening is controlled, so that people can not feel comfortable. The current infrared thermopile combines with control chip to form the thermopile module, can gather the radiant temperature of user's body surface, records user's body surface temperature according to time interval, forms the temperature variation trend to control air conditioner adjusts (wind speed, temperature regulation), reaches the purpose of comfortable air supply. Because control according to human body surface temperature, temperature control is more accurate.
However, because the Flash space of the air conditioner control chip and the memory of the CPU are limited (generally 1M-2M), long-time body temperature data storage cannot be performed, and when the temperature trend of the user is recorded, abrupt temperature data is easily introduced, and algorithm misjudgment is easily caused, which causes the back and forth adjustment of the air conditioner temperature and affects the user experience.
Chinese invention publication No. CN109442673A discloses an air conditioner and a control method thereof, which controls the air conditioner to continuously cool or heat according to a predetermined mode when a gradual temperature difference between an unmanned area temperature and a return air temperature is greater than a preset difference, so as to improve indoor comfort, but temperature regulation and control temperature fluctuation is large, and temperature regulation is inaccurate.
The present application is particularly proposed to solve the above problems.
Disclosure of Invention
The invention designs an air conditioner control method, a control system, an air conditioner and a computer storage medium, and aims to solve the problem of inaccurate temperature regulation of the air conditioner.
In order to solve the above problems, the present invention discloses an air conditioner control method, a control system, an air conditioner and a computer storage medium:
the invention provides an air conditioner control method, wherein the air conditioner comprises an infrared somatosensory module, a communication module and an electric control unit, the air conditioner is in communication connection with a server, the infrared somatosensory module comprises an infrared thermopile sensor and a control chip, and the method comprises the following steps:
s1: the infrared somatosensory module is connected to the communication module;
s2: the infrared thermopile sensor collects the real-time body temperature of the body surface of a user in each preset sampling time period;
s3: the body temperature data is transmitted to the server in real time through the communication module;
s4: the server carries out smoothing algorithm processing on the collected temperature trend data;
s5: the server makes a decision on the body temperature trend;
s6: the server issues a control command to the communication module, the communication module forwards the control command to the electronic control module, and the electronic control module controls the air conditioner to execute corresponding actions.
Further, S4 includes the following sub-steps:
s41: continuously selecting a first number of sampling points from the acquired temperature data;
s42: traversing the temperature values of the selected first number of sampling points, and marking the continuous second number of sampling points as a first trend section if the temperature values of the continuous second number of sampling points are detected to be in a gradually increasing trend;
s43: continuously traversing the rest sampling points in the first quantity of sampling points, if the temperature values of the continuous second quantity of points have a descending trend, marking the continuous second quantity of sampling points as a second trend section, and acquiring the coordinate value X of the last point of the second trend sectionendAnd a temperature value YendFinding the temperature value Y from the first trend sectionendMarking the coordinates of the sampling point as XstartAnd calculating XendAnd XstartThe distance between the two is delta X, if delta X is less than or equal to the trend change threshold value, X is filtered outstartAnd XendThe temperature data of the sampling points in between enter the step S44; if the trend is larger than the trend change threshold value, the step S41 is executed, and the step X is executedendContinuously selecting a first number of sampling points again;
s44: and according to the processing algorithm of the step S43, carrying out mutation-removing smoothing processing on the temperature data sampled in real time.
Further, the S4 includes the following sub-steps:
s41: continuously selecting a first number of sampling points from the acquired temperature data;
s42: traversing the temperature values of the selected first number of sampling points, and marking the continuous second number of sampling points as a first trend section if the temperature values of the continuous second number of sampling points are detected to be in a gradually decreasing trend;
s43: continuously traversing the rest sampling points in the first number of sampling points, if the temperature values of the continuous second number of points have an ascending trend, marking the continuous second number of sampling points as a second trend section, and acquiring the coordinate value X of the last point of the second trend sectionendAnd a temperature value YendFinding the temperature value Y from the first trend sectionendMarking the coordinates of the sampling point as XstartAnd calculating XendAnd XstartThe distance between the two is delta X, if delta X is less than or equal to the trend change threshold value, X is filtered outstartAnd XendThe temperature data of the sampling points in between enter the step S44; if the trend is larger than the trend change threshold value, the step S41 is executed, and the step X is executedendContinuously selecting a first number of sampling points again;
s44: and according to the processing algorithm of the step S43, carrying out mutation-removing smoothing processing on the temperature data sampled in real time to obtain a user body temperature change trend graph.
Further, the infrared thermopile sensor employs 32 × 32 bits.
Further, the communication module is a WIFI module or a 3G/4G/5G wireless communication module.
Further, the S5 includes the following: when the temperature of a user rises in a T time period and is in a stable trend at the highest temperature, obtaining that the air conditioner needs to operate a refrigeration mode, and setting a regulation temperature to be a reference temperature plus (stable temperature-reference temperature)/2; when the temperature of the user is decreased in the T time period and is in a stable trend at the lowest temperature, the fact that the air conditioner needs to start a heating mode is obtained, and the regulated temperature is set to be the reference temperature + (the reference temperature-the stable temperature)/2.
A second aspect of the present invention provides a control system, including an infrared motion sensing module, a communication module, an electronic control module, and a server, implementing the method according to any one of claims 1 to 6.
A third aspect of the present invention provides an air conditioner comprising a computer readable storage medium storing a computer program and a processor, the computer program being read by the processor and when executed, implementing the method as described above.
A fourth aspect of the present invention proposes a computer-readable storage medium storing a computer program which, when read and executed by a processor, implements the method as described above.
An advantage of the present invention is that in relation to prior art solutions,
1. deploying an infrared data trend processing algorithm on a server, storing a large number of trends of the user temperature by means of the computing performance and the storage capacity of the server, and drawing a trend graph;
2. the trend processing algorithm carries out smoothing processing on a large amount of data, removes abrupt change temperature and avoids erroneous judgment of the algorithm;
3. calculating an operation mode and a set temperature in an air conditioner control instruction according to the rising or falling trend of the temperature of the user and the stable temperature;
4. and the server sends a control instruction to control the automatic adjustment of the air conditioner.
Drawings
FIG. 1 is a schematic diagram of temperature acquisition by an infrared thermopile sensor;
FIG. 2 is a diagram of the body temperature trend of a user;
fig. 3 is a schematic view illustrating a user body temperature trend processing according to an embodiment of the present invention;
FIG. 4 is a block diagram of an air conditioning control system according to an embodiment of the present invention;
fig. 5 is a flow chart of a trend processing algorithm according to an embodiment of the present invention.
Description of the reference numerals
1-sequence of sampling points 1; 2-sequence of sample points 2; 3-sequence of sample points 3; 4-sequence of sample points 4.
Detailed Description
In order to make the aforementioned objects, features and advantages of the present invention comprehensible, embodiments accompanied with figures are described in detail below.
Example 1
As shown in fig. 4 and 5, the air conditioner comprises an infrared somatosensory module, a communication module and an electric controller, the air conditioner is in communication connection with a server, and the infrared somatosensory module comprises an infrared thermopile sensor and a control chip. The infrared thermopile sensor is used for collecting the body surface temperature of a user, the infrared thermopile sensor is not limited, preferably, the infrared thermopile sensor with 32 x 32 bits is adopted in the embodiment, the infrared thermopile sensor with 32 x 32 bits is adopted, and the temperature precision can reach 0.1 ℃.
The air conditioner control method provided by the embodiment is as follows:
1. the infrared somatosensory module is connected to the communication module through a serial port. The communication module can adopt communication modes such as WIFI or 3G/4G/5G. The communication module sends user body temperature data collected by the infrared body sensing module to the server, receives an air conditioner control instruction sent by the server and forwards the air conditioner control instruction to the electric control module so as to execute air conditioner refrigerating/heating operation.
2. The thermopile module collects the surface temperature of an indoor user at a fixed preset sampling time interval t, and uploads the surface temperature to a server for recording (instead of storing locally) in real time through the communication module, so that the problem of limitation of a local storage space of the thermopile module is solved, and preparation is also made for subsequent abrupt temperature smoothing treatment. The sampling period t is preferably 1 s. The communication module can be a WIFI module or a 3G/4G/5G wireless communication module. The number of the infrared thermopile sensors at 32 × 32 points per second is 32 × 32, and the user body surface temperature values, such as the maximum temperature, the lowest temperature, or the average value, are extracted from the 32 × 32 temperature data, which is not limited in this embodiment. Preferably, the highest temperature among 32 × 32 sampling temperatures is taken, and the highest temperature at the position with coordinates (x is 22 and y is 19) is 29.4 ℃ in fig. 1 as an example. The control chip extracts the user temperature from 32 x 32 data according to various algorithms such as maximum/minimum/average, and transmits the user temperature to the server through the communication module. In the embodiment, the body surface temperature of the user is extracted by the control chip and is transmitted to the server, instead of transmitting all sampled 32 × 32 data to the server, only 1 data needs to be transmitted every second, and the network transmission amount can be greatly saved.
And the server arranges and stores the acquired temperature data of each frame according to time. Because the server has a large storage space, a large amount of sampling data can be stored. The server data is arranged and stored according to time sequence, so that subsequent data processing can be facilitated.
The temperature profile can be plotted as in fig. 2 based on the sampled data.
3. The server adopts a body temperature trend judgment algorithm to carry out smoothing treatment on the temperature data, and filters out abrupt temperature.
S41: continuously selecting a first number M of sampling points from the collected temperature data, wherein the coordinates of the M sampling points are X1～XM。
The number of sampling points is not limited in this embodiment, and preferably, in this embodiment M is set to 900, that is, the sampled data is temperature data of 900/60-15 minutes. Assume that the temperature change curve plotted after sampling 900 points is shown in fig. 2.
S42: traversing the temperature values of the M selected sampling points, and marking the N continuous sampling points as a first trend section if the temperature values of the N continuous sampling points are detected to be in a gradually increasing trend;
the present embodiment does not limit the number of consecutive points of temperature increase, and preferably, N in the present embodiment is set to 30, that is, 30 consecutive points of temperature data with time 30/60 being 0.5 minutes. In this embodiment, the first trend section is an ascending trend section. As shown in fig. 3, the temperature of the 30 sampling points corresponding to the label 1 in the graph is in an increasing trend, and therefore, the 30 sampling points are marked as a first trend section.
S43: continuously traversing the rest sampling points in the M sampling points, 1) if the temperature values of the continuous N points have a descending trend, marking the continuous N sampling points as a second trend section, and acquiring the coordinate value X of the last point of the second trend sectionendAnd a temperature value YendFinding the temperature value Y from the first trend sectionendMarking the coordinates of the sampling point as XstartAnd calculating XendAnd XstartThe distance between the two is delta X, if delta X is less than or equal to the trend change threshold value, X is filtered outstartAnd XendThe temperature data of the sampling points in between enter the step S44; if the trend is larger than the trend change threshold value, the step S41 is executed, and the step X is executedendContinuously selecting M sampling points again; 2) if the temperature values of the continuous N points have ascending trend, the continuous N sampling points are marked as a first trend section, and the N sampling points marked in the step S42 are not marked as the first trend section.
The process continues from 900 sample points until a second trend segment is found that is in an opposite trend to the first trend segment. In this embodiment, the second trend section is a descending trend section. If a trend section opposite to the temperature change of the first trend section is found, the judgment of the sudden temperature change and the smoothing processing are carried out. In this embodiment, the trend change threshold is set to determine whether the second trend section is a sudden temperature change. The trend change threshold value is not limited in the present embodiment, and preferably, the trend change threshold value is set to 60s in the present embodiment, that is, if the sampling point X is detectedendAnd sampling point XstartThe number of sampling points delta X between the two is less than or equal to 60, which indicates that the time for the body surface temperature of the user to rise to the Y value after reaching the Y value is less than or equal to 1 minute, namely, the second trend section is judged to be a temperature mutation section, the temperature mutation data of the part needs to be filtered, and the temperature data of the part is not used for drawing a temperature change curve any more. As shown in fig. 3, the temperatures of the 30 sampling points corresponding to the identifier 2 in the graph are in an ascending trend, so that the first trend section is updated to the 30 sampling points corresponding to the identifier 2, after the traversal is continued, the temperatures of the 30 sampling points corresponding to the identifier 3 are still in the ascending trend, and the first trend section is updated to the 30 sampling points corresponding to the identifier 3. And continuously traversing, wherein the temperature of the 30 sampling points corresponding to the identifier 4 is in a descending trend, and the 30 sampling points corresponding to the identifier 4 are marked as a second trend section. As shown in fig. 3, the distance between the sampling points of the first trend section corresponding to the identifier 3 and the second trend section corresponding to the identifier 4 is 60, and the sampling point data of the second identifier section corresponding to the identifier 4 is considered to be temperature jump data, and the sampling data needs to be removed.
S44: and according to the processing algorithm of the step S43, carrying out mutation-removing smoothing processing on the temperature data sampled in real time. The data of 15 minutes are continuously smoothed, so that a continuous temperature change trend graph is formed.
4. And judging the temperature change trend of the user to obtain the control mode of the air conditioner.
When the temperature of a user rises in a certain time period, such as 15 minutes, and the temperature of the user is in a stable trend at the highest temperature, the condition that the air conditioner needs to operate a refrigeration mode is obtained, and the set regulation temperature is equal to the reference temperature plus (stable temperature-27)/2.
The steady trend, that is, the temperature variation amplitude, is in a very small range, preferably, the temperature variation amplitude is set within 0.5 degrees in the present embodiment, that is, the temperature variation between adjacent sampling points of more than 60 continuous sampling points is less than 0.5 degrees, and it can be determined that the human body temperature tends to be steady. The plateau temperature is the average of the temperatures of the consecutive 60 sampling points. The reference temperature setting is used for preventing the temperature adjustment amplitude from being too high or too low, and the comfortable sensation of people is influenced. Preferably, the present embodiment sets the reference temperature to 27 degrees.
The temperature of the human body does not rise after rising to a certain value, after the temperature sudden change value is filtered, if the temperature change trend is that the temperature continuously rises and is in a stable trend at the highest temperature, the server makes a decision to refrigerate the air conditioner.
5. The server sends a control command to the communication module, the communication module forwards the command to the electric control module, and the electric control module controls the air conditioner to execute corresponding actions according to the control command.
Through the logic flow, the requirement of intelligent control according to the temperature change trend of the user can be realized.
Example 2
Unlike embodiment 1, the first trend section is a downward trend in this embodiment. This embodiment only describes the differences from embodiment 1, and other parts that are the same as embodiment will not be described again. If the temperature data of the continuous second number of N sampling points is detected to be a gradually decreasing trend in S41, the temperature data of the continuous second number of N sampling points is detected to be a gradually increasing trend in S43, and the temperature of the user is in a decreasing trend in the T time period and is in a steady trend at the lowest temperature in S45, it is determined that the air conditioner needs to operate a heating mode, and the regulated temperature is set to be the reference temperature + (reference temperature-steady temperature)/2).
Example 3
A control system comprises an infrared motion sensing module, a communication module, an electric control module and a server, and the air conditioner control method is achieved.
Example 4
An air conditioner includes a computer readable storage medium storing a computer program and a processor, wherein the computer program is read by the processor and executed to implement the air conditioner control method.
Example 5
A computer-readable storage medium storing a computer program that, when read and executed by a processor, implements the air-conditioning control method described above.
In summary, the control method, the control system, the air conditioner and the computer readable storage medium for controlling the air conditioner of the present invention utilize the high calculation performance and storage capacity of the server, and have the advantages of removing the sudden temperature, avoiding the erroneous judgment of the algorithm, automatically adjusting the temperature according to the temperature variation trend of the user, and comfortably supplying air.
Although the present invention is disclosed above, the present invention is not limited thereto. In the description herein, references to the description of the term "one embodiment," "some embodiments," "an illustrative embodiment," "an example," "a specific example," or "some examples" or the like mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Various changes and modifications may be effected therein by one skilled in the art without departing from the spirit and scope of the invention as defined in the appended claims.

Claims (8)

1. The utility model provides an air conditioner control method, the air conditioner includes that infrared body feels the module, communication module and electronic control module, and air conditioner and server communication connection, infrared body feels the module and includes infrared thermopile sensor and control chip, its characterized in that, the method includes:
s1: the infrared somatosensory module is connected to the communication module;
s2: the infrared thermopile sensor collects the real-time body temperature of the body surface of a user in each preset sampling time period;
s3: the body temperature data is transmitted to the server in real time through the communication module;
s4: the server carries out smoothing algorithm processing on the collected temperature trend data;
s41: continuously selecting a first number of sampling points from the acquired temperature data;
s42: traversing the temperature values of the selected first number of sampling points, and marking the continuous second number of sampling points as a first trend section if the temperature values of the continuous second number of sampling points are detected to be in a gradually increasing trend;
s43: continuously traversing the rest sampling points in the first quantity of sampling points, if the temperature values of the continuous second quantity of points have a descending trend, marking the continuous second quantity of sampling points as a second trend section, and acquiring the coordinate value X of the last point of the second trend sectionendAnd a temperature value YendFinding the temperature value Y from the first trend sectionendMarking the coordinates of the sampling point as XstartAnd calculating XendAnd XstartThe distance between the two is delta X, if delta X is less than or equal to the trend change threshold value, X is filtered outstartAnd XendThe temperature data of the sampling points in between enter the step S44; if the trend is larger than the trend change threshold value, the step S41 is executed, and the step X is executedendContinuously selecting a first number of sampling points again;
s44: according to the processing algorithm of the step S43, carrying out mutation-removing smoothing processing on the temperature data sampled in real time;
s5: the server makes a decision on the body temperature trend;
s6: the server issues a control command to the communication module, the communication module forwards the control command to the electronic control module, and the electronic control module controls the air conditioner to execute corresponding actions.
2. The air conditioner controlling method as claimed in claim 1, wherein the S4 includes the sub-steps of:
s41: continuously selecting a first number of sampling points from the acquired temperature data;
s42: traversing the temperature values of the selected first number of sampling points, and marking the continuous second number of sampling points as a first trend section if the temperature values of the continuous second number of sampling points are detected to be in a gradually decreasing trend;
s43: continuously traversing the rest sampling points in the first number of sampling points, if the temperature values of the continuous second number of points have an ascending trend, marking the continuous second number of sampling points as a second trend section, and acquiring the coordinate value X of the last point of the second trend sectionendAnd a temperature value YendFinding the temperature value Y from the first trend sectionendMarking the coordinates of the sampling point as XstartAnd calculating XendAnd XstartThe distance between the two is delta X, if delta X is less than or equal to the trend change threshold value, X is filtered outstartAnd XendThe temperature data of the sampling points in between enter the step S44; if the trend is larger than the trend change threshold value, the step S41 is executed, and the step X is executedendContinuously selecting a first number of sampling points again;
s44: and according to the processing algorithm of the step S43, carrying out mutation-removing smoothing processing on the temperature data sampled in real time to obtain a user body temperature change trend graph.
3. The air conditioner control method according to claim 1, wherein the infrared thermopile sensor employs 32 x 32 bits.
4. The air conditioner control method according to claim 1, wherein the communication module is a WIFI module or a 3G/4G/5G wireless communication module.
5. The air conditioner controlling method according to claim 1, wherein the S5 includes the steps of: when the temperature of a user is in an ascending trend in a preset time period and is in a stable trend at the highest temperature, obtaining that the air conditioner needs to operate a refrigeration mode, and setting a regulation temperature to be a reference temperature plus (stable temperature-reference temperature)/2; when the body temperature of the user is in a descending trend in a preset time period and is in a stable trend at the lowest temperature, the fact that the air conditioner needs to start a heating mode is obtained, and the regulated temperature is set to be the reference temperature + (reference temperature-stable temperature)/2.
6. A control system is characterized by comprising an infrared motion sensing module, a communication module, an electric control module and a server, and realizing the method of any one of claims 1 to 5.
7. An air conditioner comprising a computer readable storage medium storing a computer program and a processor, the computer program being read and executed by the processor to implement the method according to any one of claims 1 to 5.
8. A computer-readable storage medium, in which a computer program is stored which, when read and executed by a processor, implements the method according to any one of claims 1-5.
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