WO2022227813A1 - 空调器的控制方法及空调器 - Google Patents

空调器的控制方法及空调器 Download PDF

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Publication number
WO2022227813A1
WO2022227813A1 PCT/CN2022/076979 CN2022076979W WO2022227813A1 WO 2022227813 A1 WO2022227813 A1 WO 2022227813A1 CN 2022076979 W CN2022076979 W CN 2022076979W WO 2022227813 A1 WO2022227813 A1 WO 2022227813A1
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parameters
air conditioner
user
somatosensory
control method
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PCT/CN2022/076979
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English (en)
French (fr)
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张润雨
孙艳斌
贾香慧
杨文钧
Original Assignee
青岛海尔空调器有限总公司
青岛海尔空调电子有限公司
海尔智家股份有限公司
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Publication of WO2022227813A1 publication Critical patent/WO2022227813A1/zh

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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
    • 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
    • F24F11/50—Control or safety arrangements characterised by user interfaces or communication
    • F24F11/61—Control or safety arrangements characterised by user interfaces or communication using timers
    • 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
    • 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
    • F24F2110/00—Control inputs relating to air properties
    • F24F2110/20—Humidity
    • 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
    • F24F2110/50—Air quality properties
    • 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
    • F24F2120/14—Activity of occupants
    • Y—GENERAL 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
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
    • Y02B30/00—Energy efficient heating, ventilation or air conditioning [HVAC]
    • Y02B30/70—Efficient control or regulation technologies, e.g. for control of refrigerant flow, motor or heating

Definitions

  • the present invention relates to an air conditioning system, in particular to a control method of an air conditioner and an air conditioner.
  • Air conditioners including but not limited to integrated and split air conditioners, typically include a compressor, an outdoor heat exchanger (acting as a condenser in cooling mode), a throttling mechanism (such as an expansion valve), and one or more indoor Heat Exchanger.
  • the compressor, the outdoor heat exchanger, and the throttling mechanism together can form an outdoor unit or an outdoor unit; the indoor heat exchanger can form an indoor unit or an indoor unit.
  • the air conditioner may only have the function of cooling, may also have the function of cooling and heating, or may also have other special functions.
  • the air conditioners are equipped with adjustable user setting parameters, such as air outlet frequency, guide plate angle, heat exchanger temperature, outlet air humidity, running time, etc.
  • mainstream air conditioners are provided with a control panel and/or a remote control to facilitate users to adjust relevant setting parameters.
  • many current air conditioners require users to stop what they are doing and manually adjust parameters such as temperature, humidity, and wind direction after they are subjectively aware of the discomfort of the environment. Therefore, the degree of intelligence of the air conditioner is insufficient.
  • the present invention provides a control method for an air conditioner, the control method controls the air conditioner
  • the controller switches between manual control mode and sensorless control mode and includes:
  • the user setting parameters are recorded each time and the corresponding environmental parameters and user somatosensory parameters are detected, and the user setting parameters and the corresponding environmental parameters and user somatosensory parameters are input into the memory model, so as to establish user settings through the memory model.
  • the current environmental parameters and the user's somatosensory parameters are detected, and the current environmental parameters and the user's somatosensory parameters are input into the relationship function to obtain the non-sensing control parameters for autonomously adjusting the air conditioner .
  • the air conditioner is allowed to switch between the manual control mode and the non-inductive control mode, so as to satisfy the user's demand for manual control of the air conditioner and the non-inductive control requirement for the air conditioner to be autonomously controlled .
  • the "non-sensing” mentioned here means that the air conditioner can intelligently and autonomously adjust the setting parameters of the air conditioner according to the changes of the environment and the user's body feeling, so as to ensure that the air-conditioning environment always meets the needs of the user, so the user will not feel the change of the environment. , without any discomfort.
  • the control method is continuously learned through the memory model in the manual control mode of the air conditioner.
  • the air conditioner can obtain the setting parameters for autonomously controlling the air conditioner based on the relationship function learned in manual control and the currently detected environmental parameters and user somatosensory parameters, thereby realizing the automatic control of the air conditioner. Intelligent control, so that customers are always in a comfortable state, not disturbed by the air environment.
  • the adjusted user setting parameters and corresponding environmental parameters and user somatosensory parameters are input into the The model is memorized to update the relationship function.
  • each setting parameter of the user and the corresponding environmental parameters and user somatosensory parameters are collected and stored, and then input into the memory model to update the corresponding regression curve through the memory model. The longer the user uses the air conditioner (meaning the more times the user manually adjusts the setting parameters), the more accurate the memory model's calculations are.
  • the air conditioner can be connected to the Internet of Things, and the memory model is stored on the terminal of the Internet of Things and corresponds to a separate user account.
  • a separate user account is established for a single user on the Internet of Things, and the memory model corresponding to a single user is stored on the "terminal" of the Internet of Things.
  • the memory model updates the relationship function based on each update of the parameters set by the user.
  • the memory model is updated at any time according to the user's preferences. As the user's physical condition changes, the setting habits may be changed.
  • the memory model of the present invention is automatically updated to fit new user preferences.
  • the environmental parameters include at least one of temperature, humidity, time, and air cleanliness.
  • the user's somatosensory parameter includes at least one of body temperature, pulse, respiratory rate, and position.
  • the user somatosensory parameter is measured by a mobile terminal.
  • the user's somatosensory parameter is measured by an infrared recognition device.
  • the user's somatosensory parameter and the environmental parameter are detected continuously or periodically. Continuous monitoring of user somatosensory parameters and environmental parameters can ensure that when these parameters fluctuate greatly, the setting parameters of the air conditioner can be adjusted actively in time. On the contrary, when the fluctuation of the environmental parameters is relatively small, the environmental parameters and the user's somatosensory parameters can be detected periodically.
  • the present invention also discloses an air conditioner, which is provided with a computer control panel, and any one of the above-mentioned control methods is implemented through the computer control panel, so as to be in a manual control mode and in a non-sensing mode. Switch between control modes.
  • the air conditioner can meet the user's non-inductive adjustment needs.
  • Fig. 1 is the system schematic diagram of the embodiment of the air conditioner of the present invention.
  • Fig. 2 is the flow chart of the control method of the air conditioner of the present invention.
  • Fig. 3 is the flow chart of the embodiment of the control method of the air conditioner in the manual control mode of the present invention.
  • FIG. 4 is a flow chart of an embodiment of a control method for an air conditioner in a non-inductive control mode of the present invention.
  • Air conditioner 11. Compressor; 12. Four-way valve; 13. Outdoor heat exchanger; 14. Expansion valve; 15. Liquid pipe shut-off valve; 16. Indoor heat exchanger; 17. Trachea shut-off valve; 18. Gas-liquid separator; 111, exhaust pipe; 112, suction pipe.
  • the present invention provides a control method for an air conditioner, the control method controls the air conditioner to switch between a manual control mode and a non-inductive control mode, and includes:
  • step S1 record each user setting parameters and detect the corresponding environmental parameters and user somatosensory parameters, input the user setting parameters and the corresponding environmental parameters and user somatosensory parameters into the memory model, so as to establish the user setting parameters and the user set parameters through the memory model.
  • the relationship function between the environmental parameter and the user's somatosensory parameter step S1;
  • the current environmental parameters and the user's somatosensory parameters are detected, and the current environmental parameters and the user's somatosensory parameters are input into the relational function to obtain the sensorless control parameters for autonomously adjusting the air conditioner (step S2).
  • FIG. 1 is a system schematic diagram of an embodiment of an air conditioner of the present invention.
  • the air conditioner 1 of the present invention includes, but is not limited to, an integrated air conditioner or a split air conditioner, and at least has a cooling function or a cooling and heating function.
  • the air conditioner 1 includes a compressor 11 , a four-way valve 12 , an outdoor heat exchanger 13 , an expansion valve 14 , a liquid pipe stop valve 15 , and an indoor heat exchanger 16 , trachea stop valve 17, and gas-liquid separator 18. These components are interconnected by refrigerant lines to form a refrigeration circuit that allows a refrigerant (eg, R134a) to circulate therein.
  • a refrigerant eg, R134a
  • the compressor 11, the four-way valve 12, the outdoor heat exchanger 13, the expansion valve 14, the liquid pipe shut-off valve 15 and the gas pipe shut-off valve 17 together may be called an outdoor unit or an outdoor unit, while the indoor heat exchanger 16 is usually referred to as an outdoor unit. Placed in the indoor unit or indoor unit.
  • the outdoor heat exchanger 13 and the indoor heat exchanger 16 are usually each equipped with a fan (not shown in the figure). When the air conditioner 1 is in operation, the fan also operates to force air to flow over the outdoor heat exchanger 13 and the indoor heat exchanger 16, respectively.
  • the four-way valve 12 has four ports: D port, C port, S port, and E port.
  • the exhaust port of the compressor 11 is connected to the D interface of the four-way valve 12 through the exhaust pipe 111, and the suction port of the compressor 11 is connected to the outlet of the gas-liquid separator 18 through the suction pipe 112; the outdoor heat exchanger 13 One port of the four-way valve 12 is connected to the C port, and the other port of the outdoor heat exchanger 13 is connected to the expansion valve 14; the S port of the four-way valve 12 is connected to the inlet of the gas-liquid separator 18; The E port of the valve 12 is connected to the gas pipe of the indoor heat exchanger 16 via the gas pipe stop valve 17 ; the expansion valve 14 is connected to the liquid pipe of the indoor heat exchanger 16 via the liquid pipe stop valve 15 .
  • the compressor 11 compresses the gas refrigerant from low temperature and low pressure to high temperature and high pressure;
  • the port enters the four-way valve 12 .
  • the D port communicates with the C port, and the S port communicates with the E port. Therefore, the high-temperature and high-pressure gas refrigerant leaves the four-way valve 12 from the C port and flows into the outdoor heat exchanger 13 .
  • the outdoor heat exchanger 13 acts as a condenser in the cooling mode, so the high-temperature and high-pressure refrigerant is cooled into a high-temperature and high-pressure liquid refrigerant in the outdoor heat exchanger 13 .
  • the high-temperature and high-pressure liquid refrigerant is then throttled into a low-temperature and low-pressure liquid refrigerant through the expansion valve 14 (eg, a thermal expansion valve or an electronic expansion valve).
  • the liquid refrigerant of low temperature and low pressure flows into the indoor heat exchanger 16 through the liquid pipe stop valve 15 .
  • the indoor heat exchanger 16 acts as an evaporator in cooling mode. Therefore, the low-temperature and low-pressure liquid refrigerant is evaporated into the low-temperature and low-pressure gas refrigerant in the indoor heat exchanger 16 .
  • the low-temperature and low-pressure gas refrigerant flows into the four-way valve 12 through the E port, and then leaves the four-way valve 12 from the S port and enters the gas-liquid separator 18 . After the gas-liquid separation, the low-temperature and low-pressure refrigerant is sucked and compressed by the compressor 11 through the suction pipe 112 to start a new cycle.
  • the flow direction of the refrigerant in the air conditioner 1 is completely opposite to the flow direction during cooling. Therefore, in the heating mode, the D port of the four-way valve 12 is in communication with the E port, and the C port is in communication with the S port.
  • the high-temperature and high-pressure gas refrigerant discharged from the compressor 11 first flows into the indoor heat exchanger 16 serving as a condenser through the four-way valve 12 to heat the indoor air; the condensed high-temperature and high-pressure liquid refrigerant passes through the expansion valve 14. It flows into the outdoor heat exchanger 13 that acts as an evaporator; the low-temperature and low-pressure gas refrigerant formed by evaporation enters the four-way valve 12 from the C port, and then leaves the S port and enters the gas-liquid separator 18 . After the gas-liquid separation, the low-temperature and low-pressure refrigerant is sucked and compressed by the compressor 11 through the suction pipe 112 to start a new cycle.
  • the air conditioner 1 of the present invention has a manual control mode and a non-sensing control mode.
  • the “manual control mode” the user needs to manually set the setting parameters used to control the operation of the air conditioner according to the environment and his own body feeling.
  • the non-sensing control mode the air conditioner 1 can autonomously determine setting parameters of the air conditioner based on the user's somatosensory parameters and environmental parameters, and control the operation of the air conditioner based on the setting parameters.
  • the control method of the air conditioner of the present invention will be described in detail below.
  • the above-mentioned air conditioner 1 of the present invention further includes a computer control board (not shown in the figure) with a computing function.
  • the computer control panel may be a computer control panel installed on the air conditioner 1 or a remote controller.
  • FIG. 2 is a flow chart of the control method of the air conditioner of the present invention.
  • the control method of the air conditioner of the present invention can control the air conditioner to switch between a manual control mode and a non-sensing control mode.
  • step S1 represents the control method in the manual control mode.
  • the control method records each user setting parameters and detects the corresponding environmental parameters and user somatosensory parameters, and inputs the user setting parameters and the corresponding environmental parameters and user somatosensory parameters into the memory model, so that the memory
  • the model establishes the relationship function between user setting parameters and environmental parameters and user somatosensory parameters.
  • FIG. 3 is a flow chart of an embodiment of the control method of the air conditioner in the manual control mode of the present invention.
  • the air conditioner enters the manual control mode (step S11).
  • the user manually sets the air temperature, humidity, wind direction and other setting parameters of the air conditioner through the control panel or the remote controller of the air conditioner, that is, the air conditioner receives the user setting parameters set by the user (step S12).
  • the control method then proceeds to step S13, and the storage device of the air conditioner (eg, including the memory on the control panel of the air conditioner) automatically records these setting parameters.
  • the air conditioner also records environmental parameters and user somatosensory parameters.
  • the detection device of the air conditioner such as various temperature, pressure and time sensors, detects the environmental parameters corresponding to the above setting parameters, such as outdoor temperature, indoor temperature, humidity, time, etc., and sends the detected environmental parameters to the storage of the air conditioner. device to record these environmental parameters.
  • the user's somatosensory parameters such as body temperature, heart rate, location, etc.
  • mobile terminals such as wristbands and mobile phone remote controls and transmitted to the storage device of the air conditioner to record the corresponding user somatosensory parameters.
  • the user's somatosensory parameters can be detected with an infrared recognition device.
  • step S14 the user setting parameters, corresponding environmental parameters and user somatosensory parameters recorded above are automatically input into the memory model, and based on the user setting parameters and the corresponding environmental parameters and user somatosensory parameters, the memory
  • the model establishes the relationship function between user setting parameters, environmental parameters, and user somatosensory parameters.
  • the memory model employs a linear regression learning method.
  • the memory model may also employ other suitable regression learning methods. The following example illustrates the linear regression learning method.
  • T(X) User somatosensory parameters are expressed as T(X), X is body temperature, pulse, respiratory rate, or position, etc.; environmental parameters are expressed as H(Y), Y is temperature, humidity, or air cleanliness, etc.; air conditioner setting parameter K
  • K(T,H) The relationship function between the environmental parameter H(Y) and the user's somatosensory parameter T(X) is expressed as K(T,H), and K can be the air outlet frequency, the angle of the guide plate, or the temperature of the heat exchanger.
  • the parameter manually set is K1
  • the corresponding environmental parameter is H1
  • the corresponding user somatosensory parameter is T1;
  • the parameter manually set when using the air conditioner for the second time is K2, the corresponding environmental parameter is H2, and the corresponding user somatosensory parameter is T2;
  • the parameter manually set when using the air conditioner for the nth time is Kn
  • the corresponding environmental parameter is Hn
  • the corresponding user somatosensory parameter is Tn.
  • step S2 represents the control method in the non-sensing control mode, that is, detecting the current environmental parameters and the user’s somatosensory parameters, and inputting the current environmental parameters and the user’s somatosensory parameters into a relational function to obtain the parameters for autonomously adjusting the air conditioner Sensorless control parameters of the controller.
  • FIG. 4 is a flow chart of an embodiment of a control method for an air conditioner in a non-inductive control mode of the present invention.
  • the air conditioner enters the non-sensing control mode under the user's selection. Then, the control method proceeds to step S22.
  • the air conditioner detects the current environmental parameters and receives the user somatosensory parameters transmitted by the mobile terminal. For example, the air conditioner detects environmental parameters H(Y) including temperature, humidity, time, and air cleanliness through sensors.
  • the user's wristband or mobile phone terminal detects the user's somatosensory parameters T(X), including body temperature, pulse, respiratory rate, and position, and transmits these parameters to the air conditioner.
  • user somatosensory parameters and environmental parameters are continuously detected. Continuous monitoring of user somatosensory parameters and environmental parameters can ensure that when these parameters fluctuate greatly, the setting parameters of the air conditioner can be adjusted actively in time. Alternatively, the environmental parameters and the user's somatosensory parameters are detected periodically, for example, the environmental parameters and the user's somatosensory parameters are detected every 5 minutes or 10 minutes. Then, the control method proceeds to step S23. In step S23, the currently measured user somatosensory parameters and environmental parameters are substituted into the relational function K(T,H) to obtain non-inductive control parameters K, such as air outlet frequency, guide plate angle, and heat exchanger temperature. The air conditioner can automatically control the air conditioner based on these non-inductive control parameters. In this way, the intelligent control of the air conditioner can be realized, so that the customer is always in a comfortable state and is not disturbed by the air environment.
  • non-inductive control parameters K such as air outlet frequency, guide plate angle, and heat exchanger temperature.
  • the memory model in the sensorless control mode, it occurs that the user manually sets the setting parameters of the air conditioner.
  • the memory model will update the relationship function K(T,H) according to the adjusted user setting parameters and the corresponding environmental parameters and user somatosensory parameters in time, so that the obtained relationship function K(T,H) is more accurate.
  • the air conditioner is connected to the Internet of Things, and the user of the air conditioner has a separate account on the Internet of Things.
  • the memory model corresponding to the air conditioner and the same series of air conditioners is stored on the terminal of the Internet of Things.
  • the local air conditioner can obtain a user-specific memory model, so that the local air conditioner can be controlled without inductance.

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Abstract

本发明涉及一种空调器的控制方法及采用该控制方法的空调器。该控制方法控制空调器在手动控制模式和无感控制模式之间切换，并且包括：在手动控制模式下，记录每一次的用户设置参数并检测对应的环境参数和用户体感参数，将用户设置参数与对应的环境参数和用户体感参数输入记忆模型，以便通过记忆模型建立用户设置参数与环境参数和用户体感参数之间的关系函数；以及在无感控制模式下，检测当前的环境参数和用户体感参数，将当前的环境参数和用户体感参数输入关系函数以获得用于自主调节所述空调器的无感控制参数。通过该控制方法，实现空调器在无感控制模式下的智能化控制，使客户始终处于舒适状态，不被空气环境所打扰。

Description

空调器的控制方法及空调器 技术领域
本发明涉及空调系统，具体地涉及空调器的控制方法及空调器。
背景技术
空调器，包括但不限于一体式空调和分体式空调等，通常包括压缩机、室外换热器(在制冷模式下充当冷凝器)、节流机构(例如膨胀阀)、和一个或多个室内换热器。压缩机、室外换热器、和节流机构一起可形成室外机或室外单元；室内换热器可形成室内机或室内单元。空调可只具有制冷功能，也可具有制冷和制热功能，或者还可具有其它特别的功能。为了使空调器的输出满足用户的需求，空调器都设有可调节的用户设置参数，例如出风频率、导板角度、换热器温度、出风湿度、运行时间等。目前主流空调器都设有控制面板和/或遥控器，以方便用户对相关设置参数进行调节。然而，当前很多空调器都需要用户在主观意识到环境的不适后，再停下手中正在做的事，去手动调节温度、湿度、风向等参数。因此，空调器的智能化程度不足。
相应地，本领域需要一种新的技术方案来解决上述问题。
发明内容
为了解决现有技术中的上述问题，即为了解决现有空调器无法根据环境和用户体感的变化自主调节的技术问题，本发明提供一种空调器的控制方法，所述控制方法控制所述空调器在手动控制模式和无感控制模式之间切换，并且包括：
在所述手动控制模式下，记录每一次的用户设置参数并检测对应的环境参数和用户体感参数，将用户设置参数与对应的环境参数和用户体感参数输入记忆模型，以便通过记忆模型建立用户设置参数与环境参数和用户体感参数之间的关系函数；以及
在所述无感控制模式下，检测当前的环境参数和用户体感参数，将当前的所述环境参数和用户体感参数输入所述关系函数以获得用于自主调节所述空调器的无感控制参数。
在本发明空调器的控制方法中，允许空调器在手动控制模式和无感控制模式之间切换，以满足用户想要手动控制空调器的需求和希望空调器能够进行自主控制的无感控制需求。这里所述的“无感”是指根据环境和用户体感的变化，空调器能够智能地自主调节空调器的设置参数，以保证空调环境始终符合用户的需求，因此用户不会感觉到环境的变化，也不会产生任何不适感。为了智能地调节空调器的设置参数，该控制方法在空调器的手动控制模式下通过记忆模型不断进行学习。具体地，记录每一次的用户设置参数并检测对应的环境参数和用户体感参数，将用户设置参数与对应的环境参数和用户体感参数输入记忆模型，记忆模型建立并持续更新用户设置参数与环境参数和用户体感参数之间的关系函数。然后，在无感控制模式中，检测当前的环境参数和用户体感参数，将当前的环境参数和用户体感参数输入关系函数以获得用于调节空调器的无感控制参数。因此，在无感模式下，空调器基于在手动控制中学习获得的关系函数和当前检测到的环境参数及用户体感参数，就可以获得用于自主控制空调器的设置参数，进而实现空调器的智能化控制，使客户始终处于舒适状态，不被空气环境所打扰。
在上述空调器的控制方法的优选技术方案中，在所述无感控制模式下，当用户设置参数被手动调整时，将调整后的用户设置参数与对应的环境参数和用户体感参数输入所述记忆模型以更新所述关系函数。在空调器的使用过程中，采集和储存用户每一次的设置参数及对应的环境参数和用户体感参数，然后输入记忆模型以通过记忆模型更新对应的回归曲线。用户使用空调器的时间越长(意味着用户手动调节设置参数的次数越多)，记忆模型的计算越精确。
在上述空调器的控制方法的优选技术方案中，所述空调器可连接到物联网，并且所述记忆模型储存在所述物联网的终端上且对应单独的用户账户。在家电行业智慧互联的大背景下，通过在物联网上为单个用户建立单独的用户账户，并且将对应该单个用户的记忆模型储存在物联网的“终端”上。当该单个用户在使用同一系列的空调器时，通过登入账户，就能使本地 空调器获得用户专属的记忆模型，从而能够无感控制本地空调器。整个记忆模型因此也属于用户私人订制。
在上述空调器的控制方法的优选技术方案中，所述记忆模型基于每一次用户设置参数的更新而更新所述关系函数。记忆模型随时根据用户的喜好而更新。随着用户身体状况的改变，可能会改变设置习惯。本发明的记忆模型会自动更新，以贴合用户新偏好。
在上述空调器的控制方法的优选技术方案中，所述环境参数包括温度、湿度、时间、和空气清洁度中的至少一个。
在上述空调器的控制方法的优先技术方案中，所述用户体感参数包括体温、脉搏、呼吸频率、位置中的至少一个。
在上述空调器的控制方法的优先技术方案中，所述用户体感参数通过移动终端测得。
在上述空调器的控制方法的优先技术方案中，所述用户体感参数通过红外识别设备测得。
在上述空调器的控制方法的优先技术方案中，所述用户体感参数和所述环境参数被连续地检测或者被定期地检测。连续监测用户体感参数和环境参数，可保证当这些参数波动比较大时，能够及时主动地调整空调器的设置参数。相反，当环境参数波动比较小时，可定期地检测环境参数和用户体感参数。
为了解决上述技术问题，本发明还公开了一种空调器，所述空调器设有电脑控制板，并且通过电脑控制板实施上面所述的任一种控制方法，以便在手动控制模式和无感控制模式之间进行切换。该空调器能够满足用户的无感调节需求。
附图说明
下面参照附图来描述本发明的优选实施方式，附图中：
图1是本发明空调器的实施例的系统示意图；
图2是本发明空调器的控制方法的流程图；
图3是本发明空调器在手动控制模式下的控制方法的实施例的流程图；
图4是本发明空调器在无感控制模式下的控制方法的实施例的流程图。
附图标记列表:
1、空调器；11、压缩机；12、四通阀；13、室外换热器；14、膨胀阀；15、液管截止阀；16、室内换热器；17、气管截止阀；18、气液分离器；111、排气管；112、吸气管。
具体实施方式
下面参照附图来描述本发明的优选实施方式。本领域技术人员应当理解的是，这些实施方式仅仅用于解释本发明的技术原理，并非旨在限制本发明的保护范围。
为了解决现有空调器缺少自主控制的技术问题，本发明本发明提供一种空调器的控制方法，该控制方法控制空调器在手动控制模式和无感控制模式之间切换，并且包括：
在手动控制模式下，记录每一次的用户设置参数并检测对应的环境参数和用户体感参数，将用户设置参数与对应的环境参数和用户体感参数输入记忆模型，以便通过记忆模型建立用户设置参数与环境参数和用户体感参数之间的关系函数(步骤S1)；以及
在无感控制模式下，检测当前的环境参数和用户体感参数，将当前的环境参数和用户体感参数输入关系函数以获得用于自主调节空调器的无感控制参数(步骤S2)。
在本文中提及的操作步骤除非有明确的说明，在操作顺序上没有先后的要求，例如有些操作步骤可以同时实施。
图1是本发明空调器的实施例的系统示意图。本发明的空调器1包括但不限于一体式空调或分体式空调，至少具有制冷功能或制冷和制热功能。如图1所示，在一种或多种实施例中，空调器1包括压缩机11、四通阀12、室外换热器13、膨胀阀14、液管截止阀15、室内换热器16、气管截止阀17、和气液分离器18。这些部件通过冷媒管线相互连接一起形成可允许冷媒(例如R134a)在其中循环流动的制冷回路。压缩机11、四通阀12、室外换热器13、膨胀阀14、液管截止阀15和气管截止阀17组合在一起可被称为室外单元或室外机，而室内换热器16通常被置于室内单元或室内机中。室外换热器13 和室内换热器16通常各自都配有风机(图中未示出)。当空调器1工作的时候，风机也工作以迫使空气分别从室外换热器13和室内换热器16上流过。四通阀12具有四个端口：D端口，C端口，S端口，和E端口。压缩机11的排气口通过排气管111连接到四通阀12的D接口，而压缩机11的吸气口通过吸气管112连接到气液分离器18的出口；室外换热器13的一个接口管连接到四通阀12的C端口，而室外换热器13的另一个接口管连接到膨胀阀14；四通阀12的S端口连接到气液分离器18的进口；四通阀12的E端口经由气管截至阀17连通室内换热器16的气管；膨胀阀14经由液管截至阀15连通室内换热器16的液管。
当空调器1在制冷模式下运行时，压缩机11将气体冷媒从低温低压压缩到高温高压；该高温高压的气体冷媒从压缩机11的排气口排出到排气管111中，然后从D端口进入四通阀12。在制冷模式下，D端口与C端口连通，并且S端口与E端口连通。因此高温高压的气体冷媒从C端口离开四通阀12并流入室外换热器13。室外换热器13在制冷模式下充当冷凝器，因此高温高压的冷媒在室外换热器13中被冷却成高温高压的液体冷媒。高温高压的液体冷媒然后通过膨胀阀14(例如热力膨胀阀或电子膨胀阀)被节流成低温低压的液体冷媒。低温低压的液体冷媒经由液管截止阀15流入室内换热器16。室内换热器16在制冷模式下充当蒸发器。因此，低温低压的液体冷媒在室内换热器16中被蒸发成低温低压的气体冷媒。低温低压的气体冷媒经由E端口流入四通阀12，然后从S端口离开四通阀12并进入气液分离器18。经过气液分离后，低温低压的冷媒经吸气管112被压缩机11吸入和压缩，以便开始新的循环。在制热模式下，冷媒在空调器1内的流向与制冷时的流向完全相反。因此，在制热模式下，四通阀12的D端口与E端口形成连通，而C端口与S端口形成连通。从压缩机11排出的高温高压的气体冷媒经由四通阀12先流入充当冷凝器的室内换热器16，以便给室内空气加热；经过冷凝的高温高压的液体冷媒通过膨胀阀14节流后再流入充当蒸发器的室外换热器13；蒸发形成的低温低压的气体冷媒从C端口进入四通阀12，再从S端口离开并进入气液分离器18。经过气液分离后，低温低压的冷媒经吸气管112被压缩机11吸入和压缩，以便开始新的循环。
本发明空调器1具有手动控制模式和无感控制模式。在“手动控制模式”下，用户需要根据环境和自己的体感手动设置用于控制空调器运行 的设置参数。相反，在无感控制模式下，该空调器1可基于用户的体感参数和环境参数自主确定空调器的设置参数，并且基于该设置参数控制空调器的运行。下面具体介绍本发明的空调器的控制方法。
为了实施本发明的控制方法，本发明的上述空调器1还包括具有计算功能的电脑控制板(图中未示出)。该电脑控制板可以是安装在空调器1上的电脑控制面板，也可以是远程的控制器。
图2是本发明空调器的控制方法的流程图。本发明空调器的控制方法可控制空调器在手动控制模式和无感控制模式之间进行切换。如图2所示，步骤S1代表的是手动控制模式下的控制方法。具体地，在手动控制模式下，该控制方法记录每一次的用户设置参数并检测对应的环境参数和用户体感参数，将用户设置参数与对应的环境参数和用户体感参数输入记忆模型，以便通过记忆模型建立用户设置参数与环境参数和用户体感参数之间的关系函数。
图3是本发明空调器在手动控制模式下的控制方法的实施例的流程图。当用户用遥控器控制空调器时，空调器就进入手动控制模式(步骤S11)。在手动控制模式下，用户通过空调器的控制面板或遥控器手动设置空调器的出风温度、湿度、风向等设置参数，即空调器接收用户设置的用户设置参数(步骤S12)。控制方法然后前进到步骤S13，空调器的储存装置(例如包括空调器的控制面板上的存储器)就会自动记录这些设置参数。在步骤S13中，空调器还要记录环境参数和用户体感参数。空调器的检测装置，例如各种温度、压力、时间传感器，检测对应上述设置参数的环境参数，例如室外温度、室内温度、湿度、时间等，同时将检测到的环境参数发送到空调器的储存装置以便记录这些环境参数。用户的体感参数，例如体温、心率、位置等，则可以通过手环、手机遥控器等移动终端检测并传输到空调器的储存装置以便记录对应的用户体感参数。替代地，用户体感参数可用红外识别设备进行检测。
如图3所示，在步骤S14中，上述记录的用户设置参数、对应的环境参数和用户体感参数被自动输入到记忆模型中，并且基于用户设置参数与对应的环境参数和用户体感参数，记忆模型建立用户设置参数与环境参数、用户体感参数之间的关系函数。在一种或多种实施例中，记忆模型采用线性回归学习方法。替代地，记忆模型也可采用其它合适的回归学习方法。下面 举例说明线性回归学习方法。用户体感参数表示为T(X)，X为体温，脉搏，呼吸频率，或位置等；环境参数表示为H(Y)，Y为温度，湿度，或空气洁净度等；空调器的设置参数K与环境参数H(Y)和用户体感参数T(X)之间的关系函数表示为K(T,H)，K可以是出风频率，导板角度，或换热器温度等。假设：
用户第一次使用空调器时手动设置的参数为K1，对应的环境参数为H1，对应的用户体感参数为T1；
第二次使用空调时手动设置的参数为K2，对应的环境参数为H2，对应的用户体感参数为T2；
…；
第n次使用空调时手动设置的参数为Kn，对应的环境参数为Hn，对应的用户体感参数为Tn。
将上述每组参数都代入到K(T,H)中，就可以得到简单的关系函数K(T,H)。数量n越大，得到的关系函数K(T,H)就越准确，因为每一次用户使用手动控制模式，记忆模块都会重新分析用户设置参数与用户体感参数和环境参数之间的关系并记录。换句话说，就是用户自主设置的次数越多，空调器的记忆模型推测用户使用习惯的能力越高。另外，在空调器使用方面，不同的用户具有不同的喜好，通过记忆模型建立的关系函数进而也不同，因此整个记忆模型都属于用户私人订制。另外，随着同一用户身体状况的改变，用户可能会改变设置习惯，这时记忆模型也会自动更新，以贴合用户的新偏好。
当用户在工作或睡觉或其它不想打搅的情形下，可将空调器调到无感控制模式。如图2所示，步骤S2代表的是无感控制模式下的控制方法，即检测当前的环境参数和用户体感参数，将当前的环境参数和用户体感参数输入关系函数以获得用于自主调节空调器的无感控制参数。
图4是本发明空调器在无感控制模式下的控制方法的实施例的流程图。如图4所示，在步骤S21中，在用户的选择下，空调器进入无感控制模式。然后，控制方法前进到步骤S22。在步骤S22中，空调器检测当前的环境参数并接收由移动终端传输来的用户体感参数。例如，空调器通过传感器检测环境参数H(Y)，包括温度、湿度、时间、和空气清洁度。用户的手环或手机终端检测用户体感参数T(X)，包括体温、脉搏、呼吸频率、位置，并且将这些参数传输到空调器上。在一种或多种实施例中，用户体感参数和环境参数被连续地检测。连续监测用户体感参数和环境参数，可保证当这些参数波 动比较大时，能够及时主动地调整空调器的设置参数。替代地，定期地检测环境参数和用户体感参数，例如每隔5分钟或10分钟检测一次环境参数和用户体感参数。然后，控制方法前进到步骤S23。在步骤S23中，将当前测得的用户体感参数和环境参数代入关系函数K(T,H)，就能得到无感控制参数K，例如出风频率、导板角度、和换热器温度。空调器基于这些无感控制参数就能自动控制空调器。这样就能实现空调器的智能化控制，使客户始终处于舒适状态，不被空气环境所打扰。
在一种或多种实施例中，在无感控制模式中，发生用户手动设置空调器的设置参数的情况。在这种情况下，记忆模型就会及时根据调整后的用户设置参数与对应的环境参数和用户体感参数更新关系函数K(T,H)，以使得到的关系函数K(T,H)就越准确。
在一种或多种实施例中，空调器连接到物联网上，并且空调器的用户在物联网上建有单独的账户。对应该空调器及同一系列空调器的记忆模型储存在物联网的终端上。当该用户在使用同一系列的空调器时，通过登入其单独的账户，就能使本地空调器获得用户专属的记忆模型，从而能够无感控制本地空调器。
至此，已经结合附图所示的优选实施方式描述了本发明的技术方案，但是，本领域技术人员容易理解的是，本发明的保护范围显然不局限于这些具体实施方式。在不偏离本发明的原理的前提下，本领域技术人员可以对相关技术特征作出等同的更改或替换，这些更改或替换之后的技术方案都将落入本发明的保护范围之内。

Claims (10)

  1. 一种空调器的控制方法，其特征在于，所述控制方法控制所述空调器在手动控制模式和无感控制模式之间切换，并且包括：
    在所述手动控制模式下，记录每一次的用户设置参数并采集对应的环境参数和用户体感参数，将用户设置参数与对应的环境参数和用户体感参数输入记忆模型，以便通过所述记忆模型建立用户设置参数与环境参数和用户体感参数之间的关系函数；以及
    在所述无感控制模式下，检测当前的环境参数和用户体感参数，将当前的所述环境参数和用户体感参数输入所述关系函数以获得用于自主调节所述空调器的无感控制参数。
  2. 根据权利要求1所述的空调器的控制方法，其特征在于，在所述无感控制模式下，当用户设置参数被手动调整时，将调整后的用户设置参数与对应的环境参数和用户体感参数输入所述记忆模型以更新所述关系函数。
  3. 根据权利要求1所述的空调器的控制方法，其特征在于，所述空调器可连接到物联网，并且所述记忆模型储存在所述物联网的终端上且对应单独的用户账户。
  4. 根据权利要求1-3任一项所述的空调器的控制方法，其特征在于，所述记忆模型基于每一次用户设置参数的更新而更新所述关系函数。
  5. 根据权利要求1-3任一项所述的空调器的控制方法，其特征在于，所述环境参数包括温度、湿度、时间、和空气清洁度中的至少一个。
  6. 根据权利要求1-3任一项所述的空调器的控制方法，其特征在于，所述用户体感参数包括体温、脉搏、呼吸频率、位置中的至少一个。
  7. 根据权利要求6所述的空调器的控制方法，其特征在于，所述用户体感参数通过移动终端测得。
  8. 根据权利要求6所述的空调器的控制方法，其特征在于，所述用户体感参数通过红外识别设备测得。
  9. 根据权利要求1-3任一项所述的空调器的控制方法，其特征在于，所述用户体感参数和所述环境参数被连续地检测或者被定期地检测。
  10. 一种空调器，其特征在于，所述空调器设有电脑控制板，并且通过电脑控制板实施根据权利要求1-9任一项所述的控制方法，以便在手动控制模式和无感控制模式之间进行切换。
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Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105333580A (zh) * 2015-11-30 2016-02-17 广东美的制冷设备有限公司 空调器的控制方法、空调器的控制装置和空调器
JP2016109408A (ja) * 2014-12-08 2016-06-20 義雄 不破 屋内と屋外の温度差および湿度差に基づく制御機能を有する換気扇
CN108361927A (zh) * 2018-02-08 2018-08-03 广东美的暖通设备有限公司 一种基于机器学习的空调器控制方法、装置以及空调器
CN109631255A (zh) * 2018-12-10 2019-04-16 珠海格力电器股份有限公司 一种空调控制方法、装置、存储介质及空调
CN109780697A (zh) * 2019-03-01 2019-05-21 奥克斯空调股份有限公司 一种空调控制方法、装置和空调器
CN111288604A (zh) * 2018-12-07 2020-06-16 宁波方太厨具有限公司 一种空调的温度自动调节方法及系统
CN113108440A (zh) * 2021-04-25 2021-07-13 青岛海尔空调器有限总公司 空调器的控制方法及空调器

Family Cites Families (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106369739A (zh) * 2016-08-23 2017-02-01 海信（山东）空调有限公司 一种空调控制方法及空调控制器和空调系统
CN110805995A (zh) * 2019-11-27 2020-02-18 广东美的制冷设备有限公司 空气调节设备的控制方法、装置、控制器和存储介质

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2016109408A (ja) * 2014-12-08 2016-06-20 義雄 不破 屋内と屋外の温度差および湿度差に基づく制御機能を有する換気扇
CN105333580A (zh) * 2015-11-30 2016-02-17 广东美的制冷设备有限公司 空调器的控制方法、空调器的控制装置和空调器
CN108361927A (zh) * 2018-02-08 2018-08-03 广东美的暖通设备有限公司 一种基于机器学习的空调器控制方法、装置以及空调器
CN111288604A (zh) * 2018-12-07 2020-06-16 宁波方太厨具有限公司 一种空调的温度自动调节方法及系统
CN109631255A (zh) * 2018-12-10 2019-04-16 珠海格力电器股份有限公司 一种空调控制方法、装置、存储介质及空调
CN109780697A (zh) * 2019-03-01 2019-05-21 奥克斯空调股份有限公司 一种空调控制方法、装置和空调器
CN113108440A (zh) * 2021-04-25 2021-07-13 青岛海尔空调器有限总公司 空调器的控制方法及空调器

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