CN114087731A - Self-adaptive adjusting system based on coupling of infrared identification module and air conditioner temperature sensing module - Google Patents

Self-adaptive adjusting system based on coupling of infrared identification module and air conditioner temperature sensing module Download PDF

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CN114087731A
CN114087731A CN202111327772.2A CN202111327772A CN114087731A CN 114087731 A CN114087731 A CN 114087731A CN 202111327772 A CN202111327772 A CN 202111327772A CN 114087731 A CN114087731 A CN 114087731A
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module
temperature
fusion
air conditioner
infrared
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CN114087731B (en
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汪进
毛跃辉
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Gree Electric Appliances Inc of Zhuhai
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Gree Electric Appliances Inc of Zhuhai
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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
    • F24F11/62—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
    • 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
    • F24F11/52—Indication arrangements, e.g. displays
    • F24F11/526—Indication arrangements, e.g. displays giving audible indications
    • 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
    • F24F11/58—Remote control using Internet communication
    • 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
    • F24F2110/00—Control inputs relating to air properties
    • F24F2110/10—Temperature
    • 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
    • F24F2120/10—Occupancy

Abstract

The invention provides an infrared identification module and air conditioner temperature sensing module based coupling self-adaptive adjusting system, which relates to the technical field of environment temperature adjustment and comprises an air conditioning system, a temperature fusion algorithm module, a thermal infrared image identification algorithm and an application plate, wherein the air conditioning system comprises an environment temperature fusion module, a control storage module, a loudspeaker module and a WIFI communication module, the environment temperature fusion module comprises an air conditioner temperature sensing module and an infrared equipment module, and the air conditioner temperature sensing module and the infrared equipment module respectively acquire indoor temperature data; the temperature fusion algorithm module performs linear weighted fusion on the temperature value acquired by the air conditioner temperature sensing module and the temperature value acquired by the infrared equipment module to obtain a fusion correction temperature value; according to the invention, the infrared device is used for reading the ambient temperature in real time and carrying out weighted correction on the air conditioner temperature sensing module, the running mode of the air conditioner is automatically adjusted through the ambient temperature obtained by correction, and the air supply mode of the air conditioner is intelligently and actively adjusted.

Description

Self-adaptive adjusting system based on coupling of infrared identification module and air conditioner temperature sensing module
Technical Field
The invention relates to the technical field of environmental temperature regulation, in particular to an adaptive regulation system based on coupling of an infrared identification module and an air conditioner temperature sensing module.
Background
In recent years, infrared equipment is involved in intelligent household appliance scenes, but the accuracy of testing the ambient temperature of the infrared equipment is influenced by distance and other environments when the ambient temperature is detected by the infrared equipment;
the environment temperature can not be accurately acquired by pure infrared equipment, and in order to reduce the error of acquiring the indoor environment temperature by the infrared equipment, if distance compensation is added, additional sensor equipment is needed for correction, so that the hardware cost is invisibly increased.
Disclosure of Invention
Aiming at the problems, the invention provides an adaptive adjustment system based on coupling of an infrared identification module and an air conditioner temperature sensing module, the adaptive adjustment system based on coupling of the infrared identification module and the air conditioner temperature sensing module utilizes infrared equipment to read the ambient temperature in real time and the air conditioner temperature sensing module to carry out weighting correction, the running mode of an air conditioner is automatically adjusted through the ambient temperature obtained through correction, and the air supply mode of the air conditioner is intelligently and actively adjusted.
In order to realize the purpose of the invention, the invention is realized by the following technical scheme: the air conditioning system comprises an air conditioning system, a temperature fusion algorithm module, a thermal infrared image recognition algorithm and an application plate, wherein the air conditioning system comprises an ambient temperature fusion module, a control storage module, a loudspeaker module and a WIFI communication module, the ambient temperature fusion module comprises an air conditioning temperature sensing module and an infrared equipment module, and the air conditioning temperature sensing module and the infrared equipment module respectively acquire indoor temperature data; the temperature fusion algorithm module performs linear weighted fusion on the temperature value acquired by the air conditioner temperature sensing module and the temperature value acquired by the infrared equipment module to obtain a fusion correction temperature value;
the thermal infrared image recognition algorithm and the application plate comprise a model algorithm plate and a thermal infrared image recognition module, wherein the model algorithm plate carries out image preprocessing on an infrared image based on an infrared equipment module and then leads the image to the thermal infrared image recognition module, the thermal infrared image recognition module constructs a deep fusion rapid target detection model, the environment temperature fusion module recognizes a temperature value of a user and inputs the temperature value into the temperature fusion algorithm module to obtain a human body fusion correction temperature value and recognizes an indoor environment temperature value and inputs the indoor environment temperature value into the temperature fusion algorithm module to obtain an environment correction temperature value based on the rapid target detection model, and the rapid target detection model automatically adjusts the air conditioner through the environment correction temperature value and the human body fusion correction temperature value.
The further improvement lies in that: the specific process for constructing the deep fusion rapid target detection model comprises the following steps: the thermal infrared image recognition module replaces a residual layer of a YOLOv5 network in a preprocessed infrared image with a dense rolling block, constructs a feature pyramid containing 5 rolling layers with different scales, fuses the feature pyramid and a deep dense network, and classifies the fused features by utilizing a Softmax function to form a deep fusion rapid target detection model.
The further improvement lies in that: in the temperature fusion algorithm module, the specific process for obtaining the fusion correction temperature value is as follows: carrying out linear weighted fusion on the temperature value acquired by the air-conditioning temperature sensing module and the current environment temperature value acquired by the infrared equipment module to obtain R12; carrying out linear weighted fusion on the temperature value acquired by the air-conditioning temperature sensing module and the fusion temperature value at the last moment to obtain R13; carrying out linear weighted fusion on the ambient temperature value acquired by the current infrared equipment module and the temperature fusion value at the previous moment to obtain an R23 value; then handle (R)12,R13,R23)*(W12,W13,W23)TDeriving a fusion temperature value RtWherein W is12、W13、W23Is an algorithm fusion weight value.
The further improvement lies in that: the infrared equipment module obtains temperature values of all parts of the body of a user, compares the temperature values with comfort temperature thresholds of all preset sexes and age groups in the system, and judges the sex and the age stages of the user, and the comfort temperature thresholds of the user are obtained because the comfort temperature of the user in different sexes and age stages are different, so that the comfort temperature thresholds of subsequent comparison are obtained.
The further improvement lies in that: the specific process of the rapid target detection model for automatically adjusting the air conditioner through the environment correction temperature value and the human body fusion correction temperature value is as follows: selecting a standard comfortable temperature threshold value according to the difference of gender and age stages among users, coordinating an environment correction temperature value, a human body fusion correction temperature value and a comfortable temperature threshold value obtained by a temperature fusion algorithm module, performing refined air conditioner autonomous temperature adjustment based on the control of a quick target detection model, and then performing an air conditioner autonomous temperature adjustment air conditioner operation mode to enable the temperature value of the body part of the user to be close to the comfortable temperature threshold value stored by a system.
The further improvement lies in that: the control storage module realizes a data processing function, and is used for realizing the functions of storing and matching user identity information and transmitting a control instruction.
The further improvement lies in that: the loudspeaker module prompts the temperature information according to the control instruction transmitted by the control storage module, and the prompting type is user-defined.
The further improvement lies in that: the WIFI communication module and the IOT cloud server perform wireless transmission of information, and relevant information of indoor temperature is sent to the APP end of the user mobile phone.
The further improvement lies in that: the infrared equipment module has a user detection function, and the infrared equipment module detects the identity of the user in the room detection area, acquires the identity information of the user and judges whether the user is the user.
The further improvement lies in that: when the infrared equipment module judges that the user is, the air conditioning system is automatically started, and when the infrared equipment module judges that a stranger enters, the air conditioning system cannot be started, and the infrared equipment module sends the infrared equipment module to the APP end of the user mobile phone bound with the air conditioner.
The invention has the beneficial effects that:
1. the invention reads the environmental temperature value by utilizing the air conditioner temperature sensing module of the air conditioner and the infrared equipment module, and the temperature fusion algorithm module is used for correction, so that the temperature value data is closer to the accurate environment temperature value data, the error is reduced, the self-adaptive adjustment of the air conditioner running mode is convenient, a deep fusion rapid target detection model is constructed through a thermal infrared image identification module, a human body fusion correction temperature value is calculated by utilizing a temperature fusion algorithm module to identify the temperature value of a user based on the rapid target detection model, an environment correction temperature value is calculated by utilizing the temperature fusion algorithm module to identify the indoor environment temperature value, therefore, the air conditioner is automatically adjusted, in conclusion, the infrared device is utilized to read the ambient temperature in real time and the air conditioner temperature sensing module is utilized to carry out weighting correction, the running mode of the air conditioner is automatically adjusted through the corrected ambient temperature, and the air supply mode of the air conditioner is intelligently and actively adjusted.
2. The comfort temperature thresholds of all genders and age groups are preset in the air conditioning system for comparison, the genders and the age groups of the users are judged according to the identified user temperature values, the comfort temperature thresholds of subsequent comparison are determined, the environment correction temperature values, the human body fusion correction temperature values and the comfort temperature thresholds obtained through the temperature fusion algorithm module are coordinated, fine air conditioner autonomous temperature adjustment is facilitated, the air conditioner autonomous automatic adjustment air conditioner operation mode is facilitated, the temperature values of the body parts of the users are close to the comfort temperature thresholds stored by the system, the healthy growth of children can be effectively cared, and the air conditioners can be intelligently adjusted to improve the experience of the air conditioners.
3. According to the invention, the ambient temperature value is read by utilizing the air conditioner temperature sensing module of the air conditioner to match with the infrared equipment module, and the temperature fusion algorithm module is utilized for correction, so that the cost is not increased.
4. According to the invention, the infrared equipment module is utilized to detect the identity of the user in the room detection area, the identity information of the user is obtained, whether the user is the user or not is judged, when the infrared equipment module judges that a stranger enters the room, the air conditioning system cannot be started, and the stranger is sent to the APP end of the user mobile phone bound with the air conditioner through the WIFI communication module, so that the safety is higher.
Drawings
FIG. 1 is a diagram of an air conditioning system of the present invention;
FIG. 2 is a schematic diagram of a temperature fusion algorithm module according to the present invention.
Detailed Description
In order to further understand the present invention, the following detailed description will be made with reference to the following examples, which are only used for explaining the present invention and are not to be construed as limiting the scope of the present invention.
Example one
According to fig. 1 and 2, the embodiment provides an adaptive adjustment system based on coupling of an infrared recognition module and an air conditioner temperature sensing module, and the adaptive adjustment system comprises an air conditioning system, a temperature fusion algorithm module, a thermal infrared image recognition algorithm and an application plate, wherein the air conditioning system comprises an ambient temperature fusion module, a control storage module, a speaker module and a WIFI communication module, the ambient temperature fusion module comprises an air conditioner temperature sensing module and an infrared equipment module, and the air conditioner temperature sensing module and the infrared equipment module respectively acquire indoor temperature data; the temperature fusion algorithm module performs linear weighted fusion on the temperature value acquired by the air conditioner temperature sensing module and the temperature value acquired by the infrared equipment module to obtain a fusion correction temperature value;
the thermal infrared image recognition algorithm and the application plate comprise a model algorithm plate and a thermal infrared image recognition module, wherein the model algorithm plate carries out image preprocessing on an infrared image based on an infrared equipment module and then leads the image to the thermal infrared image recognition module, the thermal infrared image recognition module constructs a deep fusion rapid target detection model, the environment temperature fusion module recognizes a temperature value of a user and inputs the temperature value into the temperature fusion algorithm module to obtain a human body fusion correction temperature value and recognizes an indoor environment temperature value and inputs the indoor environment temperature value into the temperature fusion algorithm module to obtain an environment correction temperature value based on the rapid target detection model, and the rapid target detection model automatically adjusts the air conditioner through the environment correction temperature value and the human body fusion correction temperature value. The invention reads the environmental temperature value by utilizing the air conditioner temperature sensing module of the air conditioner to match with the infrared equipment module, and utilizes the temperature fusion algorithm module to correct, thus being closer to accurate environmental temperature value data, reducing errors and facilitating self-adaptive adjustment of the air conditioner operation mode.
The specific process for constructing the deep fusion rapid target detection model comprises the following steps: the thermal infrared image recognition module replaces a residual layer of a YOLOv5 network in a preprocessed infrared image with a dense rolling block, constructs a feature pyramid containing 5 rolling layers with different scales, fuses the feature pyramid and a deep dense network, and classifies the fused features by utilizing a Softmax function to form a deep fusion rapid target detection model.
In the temperature fusion algorithm module, the specific process for obtaining the fusion correction temperature value is as follows: carrying out linear weighted fusion on the temperature value acquired by the air-conditioning temperature sensing module and the current environment temperature value acquired by the infrared equipment module to obtain R12; carrying out linear weighted fusion on the temperature value acquired by the air-conditioning temperature sensing module and the fusion temperature value at the last moment to obtain R13; carrying out linear weighted fusion on the ambient temperature value acquired by the current infrared equipment module and the temperature fusion value at the previous moment to obtain an R23 value; then handle (R)12,R13,R23)*(W12,W13,W23)TDeriving a fusion temperature value RtWherein W is12、W13、W23Is an algorithm fusion weight value.
The infrared equipment module obtains temperature values of all parts of the body of a user, compares the temperature values with comfort temperature thresholds of all preset sexes and age groups in the system, and judges the sex and the age stages of the user, and the comfort temperature thresholds of the user are obtained because the comfort temperature of the user in different sexes and age stages are different, so that the comfort temperature thresholds of subsequent comparison are obtained. The specific process of the rapid target detection model for automatically adjusting the air conditioner through the environment correction temperature value and the human body fusion correction temperature value is as follows: selecting a standard comfortable temperature threshold value according to the difference of gender and age stages among users, coordinating an environment correction temperature value, a human body fusion correction temperature value and a comfortable temperature threshold value obtained by a temperature fusion algorithm module, performing refined air conditioner autonomous temperature adjustment based on the control of a quick target detection model, and then performing an air conditioner autonomous temperature adjustment air conditioner operation mode to enable the temperature value of the body part of the user to be close to the comfortable temperature threshold value stored by a system. The comfort temperature thresholds of all genders and age groups are preset in the air conditioning system for comparison, the genders and the age groups of the users are judged according to the identified user temperature values, the comfort temperature thresholds of subsequent comparison are determined, the environment correction temperature values, the human body fusion correction temperature values and the comfort temperature thresholds obtained through the temperature fusion algorithm module are coordinated, fine air conditioner autonomous temperature adjustment is facilitated, the air conditioner autonomous automatic adjustment air conditioner operation mode is facilitated, the temperature values of the body parts of the users are close to the comfort temperature thresholds stored by the system, the healthy growth of children can be effectively cared, and the air conditioners can be intelligently adjusted to improve the experience of the air conditioners.
The control storage module realizes a data processing function, and is used for realizing the functions of storing and matching user identity information and transmitting a control instruction. The loudspeaker module prompts the temperature information according to the control instruction transmitted by the control storage module, and the prompting type is user-defined. The WIFI communication module and the IOT cloud server perform wireless transmission of information, and relevant information of indoor temperature is sent to the APP end of the user mobile phone.
Example two
According to the illustration in fig. 1, the present embodiment provides an adaptive adjustment system based on coupling of an infrared identification module and an air-conditioning temperature sensing module, which includes an air-conditioning system, a temperature fusion algorithm module, a thermal infrared image identification algorithm and an application plate, wherein the air-conditioning system includes an ambient temperature fusion module, a control storage module, a speaker module, and a WIFI communication module, the ambient temperature fusion module includes an air-conditioning temperature sensing module and an infrared device module, and the air-conditioning temperature sensing module and the infrared device module respectively acquire indoor temperature data; the temperature fusion algorithm module performs linear weighted fusion on the temperature value acquired by the air conditioner temperature sensing module and the temperature value acquired by the infrared equipment module to obtain a fusion correction temperature value;
the thermal infrared image recognition algorithm and the application plate comprise a model algorithm plate and a thermal infrared image recognition module, wherein the model algorithm plate carries out image preprocessing on an infrared image based on an infrared equipment module and then leads the image to the thermal infrared image recognition module, the thermal infrared image recognition module constructs a deep fusion rapid target detection model, the environment temperature fusion module recognizes a temperature value of a user and inputs the temperature value into the temperature fusion algorithm module to obtain a human body fusion correction temperature value and recognizes an indoor environment temperature value and inputs the indoor environment temperature value into the temperature fusion algorithm module to obtain an environment correction temperature value based on the rapid target detection model, and the rapid target detection model automatically adjusts the air conditioner through the environment correction temperature value and the human body fusion correction temperature value. The invention reads the environmental temperature value by utilizing the air conditioner temperature sensing module of the air conditioner to match with the infrared equipment module, and utilizes the temperature fusion algorithm module to correct, thus being closer to accurate environmental temperature value data, reducing errors and facilitating self-adaptive adjustment of the air conditioner operation mode.
The control storage module realizes a data processing function, and is used for realizing the functions of storing and matching user identity information and transmitting a control instruction. The loudspeaker module prompts the temperature information according to the control instruction transmitted by the control storage module, and the prompting type is user-defined. The WIFI communication module and the IOT cloud server perform wireless transmission of information, and relevant information of indoor temperature is sent to the APP end of the user mobile phone.
The infrared equipment module has a user detection function, and the infrared equipment module detects the identity of the user in the room detection area, acquires the identity information of the user and judges whether the user is the user. When the infrared equipment module judges that the user is, the air conditioning system is automatically started, and when the infrared equipment module judges that a stranger enters, the air conditioning system cannot be started, and the infrared equipment module sends the infrared equipment module to the APP end of the user mobile phone bound with the air conditioner. And is safer.
The invention reads the environmental temperature value by utilizing the air conditioner temperature sensing module of the air conditioner and the infrared equipment module, and the temperature fusion algorithm module is used for correction, so that the temperature value data is closer to the accurate environment temperature value data, the error is reduced, the self-adaptive adjustment of the air conditioner running mode is convenient, a deep fusion rapid target detection model is constructed through a thermal infrared image identification module, a human body fusion correction temperature value is calculated by utilizing a temperature fusion algorithm module to identify the temperature value of a user based on the rapid target detection model, an environment correction temperature value is calculated by utilizing the temperature fusion algorithm module to identify the indoor environment temperature value, therefore, the air conditioner is automatically adjusted, in conclusion, the infrared device is utilized to read the ambient temperature in real time and the air conditioner temperature sensing module is utilized to carry out weighting correction, the running mode of the air conditioner is automatically adjusted through the corrected ambient temperature, and the air supply mode of the air conditioner is intelligently and actively adjusted. In addition, comfort temperature thresholds of all genders and age groups are preset in the air conditioning system for comparison, the genders and the age groups of the users are judged according to the identified user temperature values, the comfort temperature thresholds of subsequent comparison are determined, the environment correction temperature values, the human body fusion correction temperature values and the comfort temperature thresholds obtained through the temperature fusion algorithm module are coordinated, fine air conditioner autonomous temperature adjustment is facilitated, the air conditioner autonomous automatic adjustment air conditioner operation mode is facilitated, the temperature values of the body parts of the users are close to the comfort temperature thresholds stored by the system, healthy growth of children can be effectively cared, and the air conditioners can be intelligently adjusted to improve the experience of the air conditioners. Meanwhile, the air conditioner temperature sensing module of the air conditioner is matched with the infrared equipment module to read the environmental temperature value, and the temperature fusion algorithm module is used for correcting, so that the cost is not increased. According to the invention, the infrared equipment module is utilized to detect the identity of the user in the room detection area, the identity information of the user is obtained, whether the user is the user or not is judged, when the infrared equipment module judges that a stranger enters the room, the air conditioning system cannot be started, and the stranger is sent to the APP end of the user mobile phone bound with the air conditioner through the WIFI communication module, so that the safety is higher.
The foregoing illustrates and describes the principles, general features, and advantages of the present invention. It will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, which are described in the specification and illustrated only to illustrate the principle of the present invention, but that various changes and modifications may be made therein without departing from the spirit and scope of the present invention, which fall within the scope of the invention as claimed. The scope of the invention is defined by the appended claims and equivalents thereof.

Claims (10)

1. Based on infrared identification module and air conditioner temperature sensing module coupling self-adaptation governing system, including air conditioning system, temperature fusion algorithm module and thermal infrared image recognition algorithm and application plate, its characterized in that: the air conditioning system comprises an ambient temperature fusion module, a control storage module, a loudspeaker module and a WIFI communication module, wherein the ambient temperature fusion module comprises an air conditioning temperature sensing module and an infrared equipment module, and the air conditioning temperature sensing module and the infrared equipment module respectively acquire indoor temperature data; the temperature fusion algorithm module performs linear weighted fusion on the temperature value acquired by the air conditioner temperature sensing module and the temperature value acquired by the infrared equipment module to obtain a fusion correction temperature value;
the thermal infrared image recognition algorithm and the application plate comprise a model algorithm plate and a thermal infrared image recognition module, wherein the model algorithm plate carries out image preprocessing on an infrared image based on an infrared equipment module and then leads the image to the thermal infrared image recognition module, the thermal infrared image recognition module constructs a deep fusion rapid target detection model, the environment temperature fusion module recognizes a temperature value of a user and inputs the temperature value into the temperature fusion algorithm module to obtain a human body fusion correction temperature value and recognizes an indoor environment temperature value and inputs the indoor environment temperature value into the temperature fusion algorithm module to obtain an environment correction temperature value based on the rapid target detection model, and the rapid target detection model automatically adjusts the air conditioner through the environment correction temperature value and the human body fusion correction temperature value.
2. The adaptive adjustment system based on the coupling of the infrared identification module and the air-conditioning temperature sensing module as claimed in claim 1, wherein: the specific process for constructing the deep fusion rapid target detection model comprises the following steps: the thermal infrared image recognition module replaces a residual layer of a YOLOv5 network in a preprocessed infrared image with a dense rolling block, constructs a feature pyramid containing 5 rolling layers with different scales, fuses the feature pyramid and a deep dense network, and classifies the fused features by utilizing a Softmax function to form a deep fusion rapid target detection model.
3. The adaptive adjustment system based on the coupling of the infrared identification module and the air-conditioning temperature sensing module as claimed in claim 2, wherein: in the temperature fusion algorithm module, the specific process for obtaining the fusion correction temperature value is as follows: carrying out linear weighted fusion on the temperature value acquired by the air-conditioning temperature sensing module and the current environment temperature value acquired by the infrared equipment module to obtain R12; carrying out linear weighted fusion on the temperature value acquired by the air-conditioning temperature sensing module and the fusion temperature value at the last moment to obtain R13; carrying out linear weighted fusion on the ambient temperature value acquired by the current infrared equipment module and the temperature fusion value at the previous moment to obtain an R23 value; then handle (R)12,R13,R23)*(W12,W13,W23)TDeriving a fusion temperature value RtWherein W is12、W13、W23Is an algorithm fusion weight value.
4. The adaptive adjustment system based on the coupling of the infrared identification module and the air-conditioning temperature sensing module as claimed in claim 3, wherein: the infrared equipment module obtains temperature values of all parts of the body of a user, compares the temperature values with comfort temperature thresholds of all preset sexes and age groups in the system, and judges the sex and the age stages of the user, and the comfort temperature thresholds of the user are obtained because the comfort temperature of the user in different sexes and age stages are different, so that the comfort temperature thresholds of subsequent comparison are obtained.
5. The adaptive adjustment system based on coupling of the infrared identification module and the air conditioner temperature sensing module as claimed in claim 4, wherein: the specific process of the rapid target detection model for automatically adjusting the air conditioner through the environment correction temperature value and the human body fusion correction temperature value is as follows: selecting a standard comfortable temperature threshold value according to the difference of gender and age stages among users, coordinating an environment correction temperature value, a human body fusion correction temperature value and a comfortable temperature threshold value obtained by a temperature fusion algorithm module, performing refined air conditioner autonomous temperature adjustment based on the control of a quick target detection model, and then performing an air conditioner autonomous temperature adjustment air conditioner operation mode to enable the temperature value of the body part of the user to be close to the comfortable temperature threshold value stored by a system.
6. The adaptive adjustment system based on the coupling of the infrared identification module and the air-conditioning temperature sensing module as claimed in claim 5, wherein: the control storage module realizes a data processing function, and is used for realizing the functions of storing and matching user identity information and transmitting a control instruction.
7. The adaptive adjustment system based on coupling of the infrared identification module and the air conditioner temperature sensing module as claimed in claim 6, wherein: the loudspeaker module prompts the temperature information according to the control instruction transmitted by the control storage module, and the prompting type is user-defined.
8. The adaptive adjustment system based on the coupling of the infrared identification module and the air-conditioning temperature sensing module as claimed in claim 7, wherein: the WIFI communication module and the IOT cloud server perform wireless transmission of information, and relevant information of indoor temperature is sent to the APP end of the user mobile phone.
9. The adaptive adjustment system based on the coupling of the infrared identification module and the air-conditioning temperature sensing module as claimed in claim 8, wherein: the infrared equipment module has a user detection function, and the infrared equipment module detects the identity of the user in the room detection area, acquires the identity information of the user and judges whether the user is the user.
10. The adaptive adjustment system based on the coupling of the infrared identification module and the air-conditioning temperature sensing module as claimed in claim 9, wherein: when the infrared equipment module judges that the user is, the air conditioning system is automatically started, and when the infrared equipment module judges that a stranger enters, the air conditioning system cannot be started, and the infrared equipment module sends the infrared equipment module to the APP end of the user mobile phone bound with the air conditioner.
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