CN113339952A - Air conditioning system - Google Patents

Air conditioning system Download PDF

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Publication number
CN113339952A
CN113339952A CN202110603266.5A CN202110603266A CN113339952A CN 113339952 A CN113339952 A CN 113339952A CN 202110603266 A CN202110603266 A CN 202110603266A CN 113339952 A CN113339952 A CN 113339952A
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China
Prior art keywords
temperature
control module
air conditioning
conditioning system
thermal
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CN202110603266.5A
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Chinese (zh)
Inventor
赵玉垒
张恒
李廷宇
王涛
高永坤
慕安臻
张佳舒
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Qingdao Hisense Hitachi Air Conditioning System Co Ltd
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Qingdao Hisense Hitachi Air Conditioning System Co Ltd
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Priority to CN202110603266.5A priority Critical patent/CN113339952A/en
Publication of CN113339952A publication Critical patent/CN113339952A/en
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    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24HEATING; RANGES; VENTILATING
    • F24FAIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00Control or safety arrangements
    • F24F11/50Control or safety arrangements characterised by user interfaces or communication
    • F24F11/54Control or safety arrangements characterised by user interfaces or communication using one central controller connected to several sub-controllers
    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24HEATING; RANGES; VENTILATING
    • F24FAIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00Control or safety arrangements
    • F24F11/62Control or safety arrangements characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
    • F24F11/63Electronic processing
    • F24F11/64Electronic processing using pre-stored data
    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24HEATING; RANGES; VENTILATING
    • F24FAIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00Control or safety arrangements
    • F24F11/62Control or safety arrangements characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
    • F24F11/63Electronic processing
    • F24F11/65Electronic processing for selecting an operating mode
    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24HEATING; RANGES; VENTILATING
    • F24FAIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00Control or safety arrangements
    • F24F11/70Control systems characterised by their outputs; Constructional details thereof
    • F24F11/72Control systems characterised by their outputs; Constructional details thereof for controlling the supply of treated air, e.g. its pressure
    • F24F11/74Control systems characterised by their outputs; Constructional details thereof for controlling the supply of treated air, e.g. its pressure for controlling air flow rate or air velocity
    • F24F11/77Control systems characterised by their outputs; Constructional details thereof for controlling the supply of treated air, e.g. its pressure for controlling air flow rate or air velocity by controlling the speed of ventilators
    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24HEATING; RANGES; VENTILATING
    • F24FAIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00Control or safety arrangements
    • F24F11/70Control systems characterised by their outputs; Constructional details thereof
    • F24F11/80Control systems characterised by their outputs; Constructional details thereof for controlling the temperature of the supplied air
    • F24F11/86Control systems characterised by their outputs; Constructional details thereof for controlling the temperature of the supplied air by controlling compressors within refrigeration or heat pump circuits
    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24HEATING; RANGES; VENTILATING
    • F24FAIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F2110/00Control inputs relating to air properties
    • F24F2110/10Temperature
    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24HEATING; RANGES; VENTILATING
    • F24FAIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F2110/00Control inputs relating to air properties
    • F24F2110/20Humidity
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02BCLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
    • Y02B30/00Energy efficient heating, ventilation or air conditioning [HVAC]
    • Y02B30/70Efficient control or regulation technologies, e.g. for control of refrigerant flow, motor or heating

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  • Engineering & Computer Science (AREA)
  • General Engineering & Computer Science (AREA)
  • Chemical & Material Sciences (AREA)
  • Combustion & Propulsion (AREA)
  • Mechanical Engineering (AREA)
  • Physics & Mathematics (AREA)
  • Signal Processing (AREA)
  • Fuzzy Systems (AREA)
  • Mathematical Physics (AREA)
  • Thermal Sciences (AREA)
  • Fluid Mechanics (AREA)
  • Human Computer Interaction (AREA)
  • Air Conditioning Control Device (AREA)

Abstract

The invention discloses an air conditioning system comprising: the indoor unit module is provided with an infrared unit for acquiring the skin temperature T of a user; the outdoor unit module is provided with a signal for receiving the control module and adjusting the indoor temperature and humidity; the control module is used for receiving the skin temperature T and calculating a thermal sensing voting value TSV of the human body according to the skin temperature T; the temperature compensation delta Ts is also output according to the thermal sensing voting value TSV; the temperature control device is also used for setting indoor set temperature Ts; wherein the control module calculates the thermal sensing vote value TSV by using a thermal comfort algorithm model. According to the invention, a thermal comfort algorithm model can be obtained according to the using behavior of the user, so that the control module can judge the comfort/temperature and coldness of the user and automatically adjust the running state according to the thermal comfort state; the data can be acquired more easily, a series of parameters needing user parameter input, such as activity amount, clothing thermal resistance and the like, are not needed, and improvement and updating can be achieved more conveniently, more automatically and more intelligently.

Description

Air conditioning system
Technical Field
The invention relates to the technical field of air conditioners, in particular to an air conditioning system.
Background
The control method of the traditional air conditioner is based on the parameters such as the running mode, the temperature and the air volume set by the user, and the situation of repeatedly adjusting the air conditioner can occur in consideration of the individual difference of the user and the nonuniformity of the indoor environment parameters, so that the comfort of the user is influenced, and the energy consumption of the air conditioner is increased. The heat exchange between people and environment affects the physiological and psychological activities of people, forms heat sensation and finally affects the comfort, and the control methods of the air conditioner with the comfort in the industry can be divided into two types. One is a control method established by relying on heat sensation voting of a large number of people on the basis of a heat exchange model between people and the environment or environment parameters; the other is to try to simulate the human thermal physiological process and the heat exchange relationship with the environment, and define and describe the thermal state of the human in the environment by using physiological parameters.
The prior patent CN110454930A provides an air conditioner control method and device based on human body optimal thermal comfort estimation, which utilizes intelligent wearable equipment to obtain human body sign parameters, calculates average skin temperature and average skin wettability of a human body under indoor environment parameters through a given human body thermal balance model, and predicts a thermal Sensation voting value TSV (thermal sensing volume) of the human body to the environment, but the invention needs to add wearable equipment to obtain local skin temperature, heart rate, blood pressure and heat production quantity, realizes the control of the air conditioner on the human body comfort of an individual user, and has a relatively limited application scene considering component cost.
In summary, it is necessary to design an air conditioning system to solve the problem of repeatedly adjusting the air conditioner due to individual differences in the prior art.
Disclosure of Invention
In order to solve the problems in the prior art, the invention provides an air conditioning system, which meets the individual requirements of comfort or cold and warm feeling of users, and simultaneously enables the air conditioner to perform energy-saving control and improves the intelligence of the air conditioner.
In order to achieve the purpose, the invention adopts the following technical scheme:
an air conditioning system comprising:
the indoor unit module is provided with an infrared unit for acquiring the skin temperature T of a user;
the outdoor unit module is used for receiving the signal of the control module and adjusting the indoor temperature and humidity;
the control module is used for receiving the skin temperature T and calculating a thermal sensing voting value TSV of the human body according to the skin temperature T;
the temperature compensation delta Ts is also output according to the thermal sensing voting value TSV;
the temperature control device is also used for setting indoor set temperature Ts;
wherein the control module calculates the thermal sensing vote value TSV by using a thermal comfort algorithm model.
In some embodiments of the present invention, the thermal comfort algorithm model is constructed by training the skin temperature T with a plurality of decision trees.
In some embodiments of the present invention, the air conditioning system further comprises a mobile terminal for generating a thermal comfort subjective questionnaire and collecting questionnaire conclusions of the user.
In some embodiments of the invention, the intersection points in the decision tree are decision nodes of the skin temperature T at the respective locations.
In some embodiments of the present invention, the control module is configured to determine the thermal sense vote value TSV>Transmitting a cooling signal at +1 moment and simultaneously outputting cooling temperature compensation delta Ts1(ii) a And alsoFor when said thermo-sensory vote value TSV<Sending a temperature rise signal at-1 time and simultaneously outputting temperature rise temperature compensation delta Ts2(ii) a And the indoor relative humidity RH is detected and adjusted when the heat sensation voting value-1 is less than or equal to TSV less than or equal to + 1.
In some embodiments of the invention, the control module is configured to determine the relative humidity RH in the chamber>At 70%, sending a humidity signal and simultaneously outputting a humidity compensation value delta RH1(ii) a The control module is also used for sending a drying signal when the indoor relative humidity RH is less than or equal to 30%, and simultaneously outputting a drying humidity compensation value delta RH2
In some embodiments of the invention, the temperature compensation Δ Ts is a fixed value; the humidity compensation value Delta RH1And the drying humidity compensation value delta RH2Are all fixed values.
In some embodiments of the present invention, the thermal sense vote value TSV is calculated for a period of t.
In some embodiments of the present invention, the system further includes a cloud database, configured to collect the skin temperature T, retrain the thermal comfort algorithm model to obtain an updated model, and send the updated model to the control module.
In some embodiments of the present invention, in summer, the control module is configured to shut down the air conditioning system and reduce the compressor frequency when the thermo-sensory vote value TSV is less than or equal to 0; in winter, the control module is used for shutting down the air conditioning system and reducing the frequency of the compressor when the thermal sensing voting value TSV is larger than or equal to 0.
Compared with the prior art, the technical scheme of the invention has the following technical effects:
according to the method, a thermal sensation voting value TSV is obtained by collecting the skin temperature T, and a control module autonomously controls the indoor temperature and humidity by using the thermal sensation voting value TSV; the heat and comfort algorithm model can be obtained according to the using behaviors of the user, so that the control module can judge the comfort/temperature and coldness of the user and automatically adjust the running state according to the heat and comfort state; the data can be acquired more easily, a series of parameters needing user parameter input, such as activity amount, clothing thermal resistance and the like, are not needed, and improvement and updating can be achieved more conveniently, more automatically and more intelligently.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 is a control flowchart of the air conditioning system.
Fig. 2 is a control flowchart of the air conditioning system in the energy saving mode.
Fig. 3 is a schematic structural diagram of the decision tree.
Fig. 4 is a flow chart of the thermal comfort algorithm model building.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
In the description of the present invention, it is to be understood that the terms "center", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", and the like indicate orientations or positional relationships based on those shown in the drawings, and are only for convenience of description and simplicity of description, and do not indicate or imply that the referenced devices or elements must have a particular orientation, be constructed and operated in a particular orientation, and thus, are not to be construed as limiting the present invention.
In the description of the present invention, it should be noted that the terms "mounted," "connected," and "connected" are to be construed broadly and may be, for example, fixedly connected, detachably connected, or integrally connected unless otherwise explicitly stated or limited. The specific meanings of the above terms in the present invention can be understood in specific cases to those skilled in the art. In the foregoing description of embodiments, the particular features, structures, materials, or characteristics may be combined in any suitable manner in any one or more embodiments or examples.
The terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of the present invention, "a plurality" means two or more unless otherwise specified.
The air conditioner performs a refrigeration cycle of the air conditioner by using a compressor, a condenser, an expansion valve, and an evaporator in the present application. The refrigeration cycle includes a series of processes involving compression, condensation, expansion, and evaporation, and supplies refrigerant to the air that has been conditioned and heat-exchanged.
The compressor compresses a refrigerant gas in a high-temperature and high-pressure state and discharges the compressed refrigerant gas. The discharged refrigerant gas flows into the condenser. The condenser condenses the compressed refrigerant into a liquid phase, and heat is released to the surrounding environment through the condensation process.
The expansion valve expands the liquid-phase refrigerant in a high-temperature and high-pressure state condensed in the condenser into a low-pressure liquid-phase refrigerant. The evaporator evaporates the refrigerant expanded in the expansion valve and returns the refrigerant gas in a low-temperature and low-pressure state to the compressor. The evaporator can achieve a cooling effect by heat-exchanging with a material to be cooled using latent heat of evaporation of a refrigerant. The air conditioner can adjust the temperature of the indoor space throughout the cycle.
The outdoor unit of the air conditioner refers to a portion of a refrigeration cycle including a compressor and an outdoor heat exchanger, the indoor unit of the air conditioner includes an indoor heat exchanger, and an expansion valve may be provided in the indoor unit or the outdoor unit.
The indoor heat exchanger and the outdoor heat exchanger serve as a condenser or an evaporator. When the indoor heat exchanger is used as a condenser, the air conditioner is used as a heater in a heating mode, and when the indoor heat exchanger is used as an evaporator, the air conditioner is used as a cooler in a cooling mode.
An air conditioning system comprising:
the indoor unit module is provided with an infrared unit for acquiring the skin temperature T of a user;
the outdoor unit module is provided with a signal for receiving the control module and adjusting the indoor temperature and humidity;
the control module is used for receiving the skin temperature T and calculating a thermal sensing voting value TSV of the human body according to the skin temperature T;
the temperature compensation delta Ts is also output according to the thermal sensing voting value TSV;
and also for setting the indoor set temperature Ts.
The air conditioning system can meet the individual comfortable temperature/cold feeling requirements of users, and meanwhile, the air conditioner is subjected to energy-saving control, so that the intellectualization of the air conditioning system is improved.
Specifically, when the air conditioning system enters a "comfort" operation mode, the indoor unit module first detects the current indoor temperature and adjusts the indoor temperature to a set temperature Ts, where the set temperature Ts is a default comfort neutral temperature (e.g., 26 ℃ in summer and 22 ℃ in winter). When the indoor temperature reaches the set temperature Ts, the infrared unit starts to acquire the skin temperature T of the user, and the skin temperature T is transmitted to the control module as an input signal to calculate the thermal sensing voting value TSV.
In some embodiments of the present invention, referring to fig. 1, the judgment about the control module outputting the control command according to the calculation result is as follows: when the thermo-sensory vote value TSV>+1, the control module sends a cooling signal and outputs a cooling temperature compensation delta Ts1Performing temperature compensation on the indoor set temperature Ts; when the thermo-sensory vote value TSV<When the temperature is minus 1, the control module sends a temperature rise signal and simultaneously outputs temperature rise temperature compensation delta Ts2Performing temperature compensation on the indoor set temperature Ts; detecting and adjusting indoor relative humidity RH when the heat sensation vote value-1 is less than or equal to TSV less than or equal to +1,that is to say, when the thermal sensation vote value-1 is less than or equal to TSV less than or equal to +1, the control module does not adjust the indoor set temperature Ts any more, and the indoor temperature reaches the comfort range at the moment. In addition, the outdoor unit module adjusts the indoor temperature according to the compensated indoor set temperature Ts.
In some embodiments of the present invention, with continued reference to FIG. 1, the control module regulates the indoor relative humidity RH when the indoor relative humidity RH is greater than the indoor relative humidity RH>When 70%, the control module sends a humidity signal and outputs a humidity compensation value delta RH1(ii) a When indoor relative humidity RH<When the humidity is 30%, the control module sends a drying signal and simultaneously outputs a drying humidity compensation value delta RH2(ii) a When the RH is more than or equal to 30% and less than or equal to 70%, the control module does not adjust the relative humidity RH.
In some embodiments of the invention, the temperature compensation Δ Ts is a fixed value; the humidity compensation value Delta RH1And the drying humidity compensation value delta RH2Are all fixed values. For example, the temperature compensation Δ Ts is 0.5 deg.C, and the control module outputs the cooling temperature compensation Δ Ts1Namely, the indoor set temperature Ts is reduced by 0.5 ℃; control module output temperature rise temperature compensation delta Ts1I.e. to raise the indoor set temperature Ts by 0.5 c. Wherein, the range of the indoor set temperature Ts is as follows: ts is more than or equal to 16 ℃ and less than or equal to 32 ℃. Humidity compensation Δ RH is 5%, when indoor relative humidity RH>When 70%, the control module sends a humidity signal and outputs a humidity compensation value delta RH1Namely, the indoor relative temperature RH is reduced by 5 percent; when indoor relative humidity RH<When the humidity is 30%, the control module sends a drying signal and simultaneously outputs a drying humidity compensation value delta RH2I.e. an increase of 5% in the indoor relative temperature RH. As shown in fig. 1, when the control module sends a temperature-increasing or temperature-decreasing signal, the operation frequency Hz of the compressor is adjusted, specifically, the control module outputs Δ Hz.
In some embodiments of the present invention, the thermal sensing vote value TSV is calculated for a period of t, for example, every 30 s.
In some embodiments of the present invention, referring to fig. 2, different control modes are implemented in summer and winter. In summer, the air conditioning system takes the judgment thermal sensing voting value TSV > +1 as a main basis, and when the thermal sensing voting value TSV > +1, the control module reduces the indoor set temperature Ts; if the thermal sensation vote value TSV is judged to be less than or equal to 0, the control module closes the air conditioner and reduces the frequency of the compressor, meanwhile, the infrared unit monitors the skin temperature T of the human body in real time, the low-power state continues until the thermal sensation vote value TSV is judged to be more than +1 by the control module, and the control strategy stabilizes the indoor set temperature Ts and the indoor relative humidity RH to the highest values within the acceptable range of the user finally.
Similarly, in winter, the air conditioning system takes the judgment of the thermal sensing voting value TSV < -1 as a main basis, and when the thermal sensing voting value TSV < -1 exists, the control module reduces the indoor set temperature Ts; if the thermal sensing voting value TSV is judged to be larger than or equal to 0, the control module shuts down the air conditioner and reduces the frequency of the compressor, meanwhile, the infrared unit monitors the skin temperature T of the human body in real time, the low-power state continues until the thermal sensing voting value TSV < -1 is obtained through judgment of the control module, and the relative humidity RH is larger than 30% and remains unchanged. The above control strategy eventually stabilizes the indoor set temperature Ts and the relative humidity RH in the room at the lowest values within the user acceptable range. The technical effect of energy saving can be realized.
In some embodiments of the present invention, for the calculation of the thermal sensation vote value TSV, the control module calculates the thermal sensation vote value TSV using a thermal comfort algorithm model, which is constructed by training the skin temperature T with a plurality of decision trees, with the skin temperature T as an input amount for the calculation.
The skin is a boundary separating a human body from an external environment, cold and hot stimulation in the environment acts on the skin to directly influence the skin temperature, the human body heat sensation is positioned in subcutaneous tissues, the change of the skin temperature can directly act on a subcutaneous receptor, and the cold and hot sensation is generated through a human body heat regulation system and is correspondingly regulated to achieve dynamic balance. Therefore, as a part of the whole process for communicating the human body with the outside, the skin temperature can be considered as a factor for generating the cold and heat feeling, and is also an effect of the thermal regulation of the human body, and is the best representation quantity of the cold and heat feeling.
The skin area of an adult human body is about 1.8m2In practical application, the skin temperature of a proper position must be selected for measurement. The factors to be considered are as follows: (1) scalability: due to the clothing, there are not many skin areas (head, neck, limbs) that the human body is actually exposed to the outside; (2) ability to characterize thermal comfort: the measured skin site must be able to output a response to external environmental parameters. Taking the above factors into account, the temperature of the exposed skin (especially the facial skin) is considered to be a better suitable subject for measurement. Firstly, when a person is indoors, naked skin is not shielded by clothes, and data information of the person can be obtained. Secondly, the blood vessels of the face are rich, and the body temperature regulating system of the human body can control the flow change of the blood vessels, and the change is easy to detect on the face.
In some embodiments of the invention, the intersection points in the decision tree are decision nodes of the skin temperature T at the respective locations. That is, in each decision tree, each intersection is judged according to the skin temperature of different positions (such as ears, forehead, cheek, hands, etc.), and the comfortable temperature and coldness of the human body can be obtained after one-layer judgment, as shown in fig. 3. In practical application, voting is carried out according to the judgment results of the multiple decision trees, and the highest voting number corresponds to the temperature and coldness of people. For example, the thermal comfort algorithm model has 8 decision trees, and based on skin temperatures at different positions, 8 thermal sensing vote values TSV are calculated (the solving method is to perform a series of conditional judgments on the input human skin temperature, as shown in fig. 3), and then statistics is performed, wherein 1 partial cold (TSV = -2), 1 partial hot (TSV = + 2), 6 neutral (TSV ≦ 1), and the maximum number of votes for neutral (i.e., not cold but not hot) is 6, so that the human comfort in this environment is neutral. The relationship between the values of the thermal sensation voting value TSV and the thermal sensation refers to the following table:
TSV +3 +2 +1 0 -1 -2 -3
thermal sensation Heat generation Heating device Slightly warm Is moderate Slightly cool Cool down Cold
The skin temperature T is a parameter for objective test, the thermal sensation voting value TSV is subjective feedback of a person to an objective environment, and objective environment parameters (temperature, humidity, wind speed and wind direction) are pertinently adjusted according to the skin temperature feedback of the person to achieve a final comfortable environment.
The infrared device is used for detecting the skin temperature, the advantages of non-contact detection are realized, namely, the real-time non-invasive skin temperature measurement is allowed, the infrared device is very suitable for being used in a real scene, and neither psychological pressure nor heat sensation of a measured person is influenced; another big advantage derives from data-driven algorithms. The advantage is that data collection can be carried out while system control is carried out, autonomous learning is finally achieved, in actual use, the device can store human body infrared temperature measurement data and personnel adjustment data (temperature rise and fall, wind speed, wind direction and the like), the data can generate a personal database in the background, and when the data volume reaches a certain degree, modeling is carried out again, so that a thermal comfort algorithm model suitable for individual users is constructed.
In some embodiments of the present invention, reference is made to FIG. 4, which is a process for building a thermal comfort algorithm model. The existing research on human thermal comfort and skin temperature is generally carried out by three methods of field investigation, simulation analysis and laboratory research, at the initial stage of building a thermal comfort algorithm model, firstly, a data collection stage is carried out to carry out laboratory research, parameters such as thermal and humid environment parameters in a precise control room, human metabolic rate and clothing thermal resistance are separated, various major factors (temperature, humidity, wind speed, metabolic rate and clothing and the like) influencing thermal comfort are separated, single factor is independently or comprehensively researched, and the function of single or multiple variables to be researched is highlighted. Based on a large number of subjective experiments, the method carries out experiments on subjects with large sample sizes (mainly aiming at common people, and meanwhile, special groups such as old people, children, pregnant women and the like are properly considered), researches the relation between the thermal comfort level of a user and the skin temperature collected by an infrared unit, generates a thermal comfort subjective questionnaire by using mobile terminals such as mobile phones and the like, collects questionnaire conclusions of the user, carries out model training on the relation between the comfort level of the user and the skin temperature under the working conditions of different temperature and humidity, different wind speeds, different clothing types and different activity types, and further carries out screening, namely debugging and optimization by using a training data model; and selecting the trained optimal model to output to generate a final model. In the process of constructing the model, the standard for judging the quality is the accuracy of the model, so that experimental data is divided into three major parts, namely a training set, a verification set and a test set, wherein the training set is used for training the data, the verification set is used for testing the optimal model, and the test set is used for testing the effect of the model, so that the final accuracy rate is obtained.
The method for judging the comfortable temperature and cold feeling of the human body based on the heat feeling voting value TSV is a data-driven algorithm model, needs a large amount of comfort test data, and can control the comfort operation of the air conditioner. Data quality and data volume are two very important concerns, and data quality needs the infrared unit to guarantee, and data volume except laboratory collection data can constantly be replenished through user's feedback data in later stage use.
In some embodiments of the present invention, the system further includes a cloud database, configured to collect the skin temperature T, retrain the thermal comfort algorithm model to obtain an updated model, and send the updated model to the control module. Specifically, after the infrared unit is used for collecting the skin temperature T of the user, the control module uploads the skin temperature T to the cloud-end database through the wireless communication unit for centralized data processing and model retraining, updated comfort control data is uploaded to the control module through the wireless communication unit network, and the thermal comfort algorithm model is updated.
In some embodiments of the present invention, the air conditioning system may further adjust the preset temperature Ts and the relative humidity RH to a preset range according to the comfort of the human body, and the wind speed V is controlled individually and freely according to the preference of the user.
Compared with the prior art, the technical scheme of the invention has the following technical effects:
continuing to refer to the mode shown in fig. 1, the control module controls the air conditioning system to enter a one-key comfort mode, firstly, the control module adjusts the indoor temperature to an indoor set temperature Ts, then detects the skin temperature T through the infrared unit, determines the heat sensation voting value TSV of the current human body, establishes the relation between the skin temperature and the comfortable temperature and cold sensation of the human body, obtains a heat comfort algorithm model, adjusts the preset temperature Ts and the relative humidity RH to a preset range according to the comfort of the human body, and carries out personalized free control on the wind speed V according to the preference of a user, namely, the control module can judge the comfort/the temperature and cold sensation of the user and automatically adjust the running state according to the heat comfort state; the data can be acquired more easily, a series of parameters needing user parameter input, such as activity amount, clothing thermal resistance and the like, are not needed, and improvement and updating can be achieved more conveniently, more automatically and more intelligently. The individual comfortable cold feeling requirement of a user can be met, the air conditioner is subjected to energy-saving control, and the intelligence of the air conditioner is improved.
At the present stage, cloud computing provides resource elasticity for big data analysis, supports analysis and computation of space and resources, and is closely related to the fields of machine learning, deep learning and the like. According to the intelligent air conditioner, based on cloud computing, big data and the Internet of things, subjective feedback of people is collected through the smart phone application program and the infrared equipment, so that the relation among people, information space, material space and social space is strengthened, diversified comfort requirements of different user individuals are provided, and the intelligentization of the air conditioner is realized.
In the foregoing description of embodiments, the particular features, structures, materials, or characteristics may be combined in any suitable manner in any one or more embodiments or examples.
The above description is only for the specific embodiments of the present invention, but the scope of the present invention is not limited thereto, and any changes or substitutions that can be easily conceived by those skilled in the art within the technical scope of the present invention are included in the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.

Claims (10)

1. An air conditioning system, comprising:
the indoor unit module is provided with an infrared unit for acquiring the skin temperature T of a user;
the outdoor unit module is used for receiving the signal of the control module and adjusting the indoor temperature and humidity;
the control module is used for receiving the skin temperature T and calculating a thermal sensing voting value TSV of the human body according to the skin temperature T;
the temperature compensation delta Ts is also output according to the thermal sensing voting value TSV;
the temperature control device is also used for setting indoor set temperature Ts;
wherein the control module calculates the thermal sensing vote value TSV by using a thermal comfort algorithm model.
2. The air conditioning system as claimed in claim 1, wherein the thermal comfort algorithm model is constructed by training a plurality of decision trees on the skin temperature T.
3. The air conditioning system of claim 2, further comprising a mobile terminal for generating a thermal comfort subjective questionnaire and gathering questionnaire conclusions of a user.
4. The air conditioning system of claim 2, wherein the intersection in the decision tree is a decision node of the skin temperature T at each location.
5. The air conditioning system as claimed in claim 1, wherein the control module is configured to determine the heat sensation vote value TSV>Transmitting a cooling signal at +1 moment and simultaneously outputting cooling temperature compensation delta Ts1(ii) a Also for use when said thermo-sensory vote value TSV<Sending a temperature rise signal at-1 time and simultaneously outputting temperature rise temperature compensation delta Ts2(ii) a And the indoor relative humidity RH is detected and adjusted when the heat sensation voting value-1 is less than or equal to TSV less than or equal to + 1.
6. The system of claim 1, wherein the control module is configured to determine the relative indoor humidity RH>At 70%, sending a humidity signal and simultaneously outputting a humidity compensation value delta RH1(ii) a The control module is also used for sending a drying signal when the indoor relative humidity RH is less than or equal to 30%, and simultaneously outputting a drying humidity compensation value delta RH2
7. The air conditioning system of claim 6, wherein the temperature compensation Δ Ts is a fixed value; the humidity compensation value Delta RH1And the drying humidity compensation value delta RH2Are all fixed values.
8. The air conditioning system as claimed in claim 1, wherein the thermal sensing vote value TSV is calculated for a period of t.
9. The air conditioning system of claim 1, further comprising a cloud database for collecting the skin temperature T, retraining the thermal comfort algorithm model to obtain an updated model, and sending the updated model to the control module.
10. The air conditioning system of claim 1, wherein in summer, the control module is configured to shut down the air conditioning system and reduce the compressor frequency when the thermo-sensory vote value TSV ≦ 0; in winter, the control module is used for shutting down the air conditioning system and reducing the frequency of the compressor when the thermal sensing voting value TSV is larger than or equal to 0.
CN202110603266.5A 2021-05-31 2021-05-31 Air conditioning system Pending CN113339952A (en)

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Application publication date: 20210903