Air conditioning control method and device based on air conditioning intelligent monitoring and environmental data collection

Abstract

The present invention provides an air conditioning control method and device based on intelligent air conditioning monitoring and environmental data collection. The method comprises: a control device acquires indoor image information and detects whether a person is present in the room based on the image information; when no one is present, the control device controls the air conditioning to cool the entire room. When the control device detects a person is present, the control device sets the foot plane, waist plane, and head plane based on the person's position relative to the air conditioning, and establishes a rapid indoor longitudinal temperature difference prediction model. The rapid indoor longitudinal temperature difference prediction model selects the air outlet angle and air volume information corresponding to the minimum temperature difference between the head plane and the foot plane; the air outlet angle and air volume information are converted into temperature setting information and processed to generate air conditioning control instructions, which are then sent to the air conditioning. This ensures that users will not feel cold legs and feet even when staying in such an environment for an extended period of time, thereby significantly improving human comfort. This eliminates the need to cool the entire room, significantly reducing energy consumption.

Description

Technical Field

[0001] The present invention relates to the technical field of air conditioner remote control, and in particular to an air conditioner control method and device based on intelligent air conditioner monitoring and environmental data collection. Background Art

[0002] The air conditioning compressor compresses and drives the refrigerant in the air conditioning refrigerant circuit; the working circuit is divided into an evaporation zone and a condensation zone, and the indoor unit and outdoor unit belong to the high-pressure or low-pressure zone respectively; the compressor is generally installed outdoors, and the compressor extracts the refrigerant from the low-pressure zone and sends it to the high-pressure zone for cooling and condensation after passing through the compressor, and dissipates heat energy into the air through the heat sink, and the refrigerant also changes from gas to liquid, and the pressure increases; the refrigerant then flows from the high-pressure zone to the low-pressure zone, and is sprayed into the evaporator through the capillary tube, the pressure drops sharply, and the liquid refrigerant immediately changes to gas, absorbing a large amount of heat in the air through the heat sink; in this way, the machine keeps working, and it keeps absorbing the heat energy at one end of the low-pressure zone into the refrigerant and then sends it to the high-pressure zone to dissipate into the air, thereby regulating the temperature.

[0003] Although the cooling effect of air conditioners has always been highly recognized by consumers, during operation, due to the influence of buoyancy, the high-temperature air with low density will naturally float up, while the cold air blown out by the air conditioner will settle down due to the low air density, resulting in a large temperature difference between the top and bottom of the room. People will feel cold feet and legs if they stay in such an environment for a long time, which is not in line with the health-preserving method of "warm feet and cool head" advocated by traditional Chinese medicine, and also causes serious energy waste. Summary of the Invention

[0004] The present invention discloses an air-conditioning control method and device based on intelligent air-conditioning monitoring and environmental data collection, so as to solve the problem in the above-mentioned background technology that cold air blown out by the existing air-conditioning during cooling operation settles downward, thereby causing a large temperature difference between the top and bottom of the room. People who stay in such an environment for a long time will feel cold feet and legs, which does not conform to the health-preserving method of "warm feet and cool head" advocated by traditional Chinese medicine, and also causes serious energy waste.

[0005] In order to solve the above technical problems, the following technical solutions are proposed:

[0006] An air conditioning control method based on intelligent air conditioning monitoring and environmental data collection, comprising:

[0007] S1, receiving and responding to remote control commands issued by the air conditioner remote controller;

[0008] S2. Obtain indoor image information and detect whether there is anyone in the room based on the image information;

[0009] When no one is detected in the room, the overall indoor cooling strategy is implemented to cool the room as a whole;

[0010] When there is someone in the detection room, the corresponding air outlet angle information and air volume information are obtained when the temperature difference between the head and feet of the human body is the smallest;

[0011] S3. Generate air conditioning control instructions and send them to the air conditioner.

[0012] Preferably, in S2, the air outlet angle information and air volume information corresponding to the minimum temperature difference between the human head and feet are obtained, including:

[0013] (1) Obtaining the position information of the human body relative to the air conditioner;

[0014] (2) The foot plane, waist plane, and head plane are set according to the position of the human body relative to the air conditioner, and a rapid prediction model of the indoor longitudinal temperature difference of the foot plane, waist plane, and head plane is established;

[0015] The indoor longitudinal temperature difference rapid prediction model is used to select the air outlet angle information and air volume information corresponding to the minimum temperature difference between the head plane temperature and the foot plane temperature.

[0016] Preferably, the foot plane, waist plane and head plane are set according to the position of the human body relative to the air conditioner, including: detecting the posture of the human body indoors through image information;

[0017] Among them, human body posture includes standing, sitting, and lying;

[0018] When in standing and sitting positions, the human foot, waist and head are selected as the foot plane, waist plane and head plane respectively;

[0019] When in a lying position, the height of the upper body of the human body is calculated through image information, and the height of the upper body of the human body is set to a first height value, with the ground as the foot plane, the plane where the human body is located as the waist plane, and the plane higher than the first height value of the waist plane as the head plane.

[0020] As a preferred method, a rapid prediction model of indoor longitudinal temperature difference at the foot plane, waist plane and head plane is established, including:

[0021] Obtain a training sample set;

[0022] The training sample set is brought into the neural network for training, and the training error is set to obtain a neural network-based rapid prediction model for indoor longitudinal temperature difference.

[0023] Preferably, the overall indoor cooling strategy includes adjusting the air conditioner outlet angle, adjusting the air conditioner outlet toward the top of the room, and reducing the air volume.

[0024] Preferably, the method further includes S4, detecting the indoor temperature in real time, and sending an air conditioning mode modification instruction of the cooling mode or the air supply mode to the air conditioning cycle when the indoor temperature reaches the temperature value corresponding to the temperature setting instruction.

[0025] Preferably, when sending an air conditioning mode modification instruction of cooling mode or air supply mode to the air conditioner cycle, it includes: setting an air conditioning mode change interval time value, and cyclically sending an air conditioning mode modification instruction of cooling mode or air supply mode to the air conditioner according to the air conditioning mode change interval time value.

[0026] Preferably, before S3, an air conditioner swing blade reset instruction is sent to the air conditioner, and the air conditioner swing blade is controlled to reset by the air conditioner reset instruction.

[0027] The present invention also discloses an air conditioning control device based on intelligent air conditioning monitoring and environmental data collection, which is used to execute any of the above-mentioned air conditioning control methods based on intelligent air conditioning monitoring and environmental data collection, including:

[0028] Timer;

[0029] A communication unit, used to receive operating instructions from the air conditioner remote control and send control signals to the air conditioner;

[0030] Temperature acquisition module, used to detect indoor temperature information in real time;

[0031] Machine vision module, used to collect indoor image information;

[0032] Ultrasonic distance measurement module, used to detect the position of the human body relative to the air conditioner;

[0033] The processing unit is used to receive and respond to signals from the communication unit, the temperature acquisition module, the machine vision module, the timer and the ultrasonic ranging module, and generate a control signal to be sent to the air conditioner through the communication unit.

[0034] Preferably, the communication unit includes an infrared transceiver unit, which is used to receive or send infrared signals. An infrared code library is also provided between the infrared transceiver unit and the processing unit, and the infrared code library is used to convert the infrared signal received by the infrared transceiver unit into the control instruction or convert the operation instruction issued by the processing unit into an external infrared signal.

[0035] Beneficial effects: The present invention is an air-conditioning control method and device based on intelligent air-conditioning monitoring and environmental data collection, comprising: a control device acquires indoor image information and detects whether there is someone in the room based on the image information; when it is detected that there is no one in the room, the air-conditioning is controlled to cool down the room as a whole. When the control device detects that there is someone in the room, the foot plane, waist plane and head plane are respectively set according to the position information of the human body relative to the air-conditioning, and a rapid prediction model for the indoor longitudinal temperature difference is established; the air outlet angle information and air volume information corresponding to the minimum temperature difference between the head plane and the foot plane are selected through the rapid prediction model for the indoor longitudinal temperature difference; the air outlet angle, air volume conversion and temperature setting information are processed to produce air-conditioning control instructions, and sent to the air-conditioning. This allows users to not feel "cold legs and feet" even if they stay in such an environment for a long time, thereby greatly improving the comfort of the human body. There is no need to cool down the entire room, which greatly reduces energy loss. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] Figure 1 This is an overall framework diagram of the air conditioning control method based on intelligent air conditioning monitoring and environmental data collection of the present invention;

[0037] Figure 2 This is the BP neural network structure diagram of the present invention;

[0038] Figure 3 This is a diagram of a rapid prediction model for indoor longitudinal temperature difference according to the present invention;

[0039] Figure 4 This is a structural diagram of the air-conditioning control device based on intelligent air-conditioning monitoring and environmental data collection of the present invention. DETAILED DESCRIPTION

[0040] To make the objectives, technical solutions, and advantages of the embodiments of the present invention more clear, the technical solutions of the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Generally, the components of the embodiments of the present invention described and shown in the drawings herein can be arranged and designed in various different configurations.

[0041] The following detailed description of the embodiments of the present invention provided in the accompanying drawings is not intended to limit the scope of the claimed invention, but rather merely represents selected embodiments of the present invention. All other embodiments derived by persons of ordinary skill in the art based on the embodiments of the present invention without inventive effort shall fall within the scope of protection of the present invention.

[0042] The present invention is an air conditioning control method based on intelligent air conditioning monitoring and environmental data collection. By intelligently monitoring the operating status of the air conditioner and collecting data on indoor environmental information, the air conditioner's operating mode is controlled to achieve the effect of improving human comfort and reducing energy loss. Figure 1-4 ,include:

[0043] After the S1 control device receives and responds to the remote control command sent by the air conditioner remote controller, the control device starts and extracts the temperature setting information from the remote control command.

[0044] The S2 control device obtains indoor image information and detects whether there is anyone in the room based on the image information; when it is detected that there is no one in the room, it executes the overall indoor cooling strategy; when executing the overall indoor cooling strategy, the control device controls the air conditioner to cool the room as a whole, so that when the user enters the room, they can feel a cool and comfortable environment.

[0045] When the control device detects that there is someone in the room, the air outlet angle information and air volume information corresponding to the minimum temperature difference between the head and the feet are selected.

[0046] S3. Generate air conditioning control instructions and send them to the air conditioner.

[0047] Specifically, the control device obtains information about the person's position relative to the air conditioner. Based on this information, it sets the foot, waist, and head planes, respectively, and establishes rapid prediction models for the indoor longitudinal temperature difference between the foot, waist, and head planes. Using the rapid prediction model, it selects the air outlet angle and air volume information corresponding to the minimum temperature difference between the head and foot planes. The air outlet angle and air volume are converted and processed with the temperature setting information to generate an air conditioner control command, which is then sent to the air conditioner. By controlling the air outlet angle and air volume, the temperature difference between the head and feet in the space where the person is located is minimized, ensuring that the user's legs and feet remain cool even after prolonged periods of time in such an environment, significantly improving comfort. Furthermore, because the cold air blown out by the air conditioner is dense, it sinks due to gravity. Therefore, adjusting the air outlet angle and air volume ensures that the desired temperature is achieved at the person's location by adjusting the air outlet angle and air volume, eliminating the need to cool the entire room and significantly reducing energy consumption.

[0048] In this embodiment, since the user's posture in the room is not fixed, such as standing, sitting or lying, and when the user is in different postures, the foot plane, waist plane and head plane of the human body are different, the foot plane, waist plane and head plane are set according to the position of the human body relative to the air conditioner, including detecting the human body posture in the room through image information; wherein, the human body posture includes standing, sitting, and lying.

[0049] Among the three postures of standing, sitting, and lying, the head, waist, and feet of the human body are located in three planes respectively in standing and sitting relative to lying. Therefore, when in standing and sitting positions, the feet, waist, and head of the human body are selected as the foot plane, waist plane, and head plane respectively.

[0050] When in a lying position, the human body's feet, waist and head are in the same plane. If the plane is set as the foot plane, the waist plane and the head plane at the same time, after the air conditioner cools down, when the human body sits up from the bed, the temperature difference between the head and feet is large and the human body feels uncomfortable. In order to prevent the above problem from occurring, the height of the human body's upper body is calculated through image information, and the height of the human body's upper body is set to a first height value, with the ground as the foot plane, the plane where the human body is located as the waist plane, and the plane higher than the first height value of the waist plane as the head plane. As a result, the human body will not feel uncomfortable even if it sits up from the bed.

[0051] In this embodiment, a rapid prediction model for indoor longitudinal temperature differences at the foot, waist, and head planes is established, including obtaining a training sample set; subjecting the training sample set to neural network training and setting a training error; thereby obtaining a neural network-based rapid prediction model for indoor longitudinal temperature differences. Specifically, the main dimensions of the air outlet and swing blade structure of the air conditioner, as well as the swing blade angle, are parameterized to form a two-dimensional flow field model of the air conditioner. Data such as the air volume, maximum wind speed, and air outlet angle of the air conditioner are obtained. Based on the temperatures of different planes corresponding to different air volumes, maximum wind speeds, and air outlet angles, a training sample set is obtained, wherein the air conditioner data in the same state and the corresponding different plane data are combined into a single sample. The sample set is then subjected to the neural network to obtain a rapid prediction model for indoor longitudinal temperature differences. It should be noted that, due to the differences in human height, the indoor longitudinal temperature difference rapid prediction model is carried out in the remote cloud server. By setting different human body variables and air conditioning structure variables, different indoor longitudinal temperature difference rapid prediction models are generated for training. During operation, the control device only needs to connect to the remote cloud server and match the corresponding air outlet angle and component, thereby reducing the response time of the control device. At the same time, due to the uneven height of human bodies, when matching the indoor longitudinal temperature difference rapid prediction model, the indoor longitudinal temperature difference rapid prediction model of the approximate height is matched.

[0052] More optimally, the neural network adopts a BP neural network structure. The BP neural network is a multi-layer feedforward neural network trained using the error back propagation algorithm. It can learn and construct nonlinear models with complex relationships. The BP neural network is divided into three layers. The first layer is the input layer, which consists of independent source nodes. Here, it specifically refers to the various factors that affect the indoor longitudinal temperature difference. After parameter sensitivity analysis, the main influencing factors were determined to be the air volume, maximum wind speed, and air outlet angle of the air conditioner. The second layer is the hidden layer, which abstracts the features of the input data into another dimensional space, presenting more abstract features that can be better linearly divided. The third layer is the output layer, which uses a weighted linear summation mapping mode to map the output of the hidden layer to obtain the result, namely the average temperature at the foot, waist, and head height planes used to evaluate indoor comfort.

[0053] In this embodiment, the overall indoor cooling strategy includes adjusting the air conditioner outlet angle, directing it toward the top of the room. This lowers the overall indoor temperature when no one is inside, making users more comfortable. Secondly, the air volume is reduced to save energy while ensuring the indoor temperature is lowered to a desired level.

[0054] In this embodiment, it also includes real-time detection of indoor temperature. When the indoor temperature reaches the temperature value corresponding to the temperature setting instruction, an air-conditioning mode modification instruction of cooling mode or air supply mode is sent to the air-conditioning cycle. While ensuring human comfort, the use time of the refrigerator is reduced, thereby achieving better energy-saving and power-saving effects.

[0055] Specifically, an air-conditioning mode change interval time value is set. When the indoor temperature reaches the temperature value corresponding to the temperature setting instruction, the control device sends an air-conditioning mode modification instruction for the air supply mode to the air-conditioning, and the timer starts timing at the same time; when the timer reaches the set air-conditioning mode change interval time value, the control device sends an air-conditioning mode modification instruction for the cooling mode to the air-conditioning, and the timer restarts timing, and cyclically sends air-conditioning mode modification instructions for the cooling mode or the air supply mode to the air-conditioning according to the air-conditioning mode change interval time value, thereby saving energy consumption while ensuring that the indoor temperature is maintained at the temperature value corresponding to the temperature setting instruction.

[0056] In an embodiment, the control device can also obtain the size of the room and send an air-conditioning mode modification instruction to the air conditioner according to the size of the room. For example, the air conditioner automatically switches to an 8-minute air supply mode after 20 minutes of cooling or heating (the 20 minutes and 8 minutes can be automatically adjusted according to the size of the room). This cycle continues. In the air supply mode, the air conditioner compressor is in a shutdown and power-saving state, so that the air conditioner can achieve the purpose of energy saving and power saving during operation.

[0057] In an embodiment, before the air conditioner sends an air conditioner control instruction, it is necessary to first send an air conditioner swing blade reset instruction to the air conditioner. The air conditioner swing blade is reset by the air conditioner reset instruction, and then in subsequent operations, the swing blade can be accurately controlled to the appropriate position to swing, and cold air with an angle that meets the requirements can be output.

[0058] The present invention also discloses an energy-saving control device for controlling air-conditioning parameters based on human comfort, which is used to execute any of the above energy-saving control methods for controlling air-conditioning parameters based on human comfort, and is characterized by comprising:

[0059] Timer;

[0060] A communication unit, used to receive operating instructions from the air conditioner remote control and send control signals to the air conditioner;

[0061] Temperature acquisition module, used to detect indoor temperature information in real time;

[0062] Machine vision module, used to collect indoor image information;

[0063] Ultrasonic distance measurement module, used to detect the position of the human body relative to the air conditioner;

[0064] The processing unit is used to receive and respond to signals from the communication unit, temperature acquisition module, machine vision module, timer and ultrasonic ranging module, and generate a control signal to be sent to the air conditioner through the communication unit.

[0065] In this embodiment, the communication unit includes an infrared transceiver unit, which is used to receive or send infrared signals. An infrared code library is also provided between the infrared transceiver unit and the processing unit. The infrared code library is used to convert the infrared signal received by the infrared transceiver unit into a control instruction or convert the operation instruction issued by the processing unit into an external infrared signal. In addition, the infrared code library is also used to learn the infrared codes of different air-conditioning remote controls, so that the control device can be applicable to different air-conditioners.

[0066] Advantages:

[0067] The present invention provides an air conditioning control method and device based on intelligent air conditioning monitoring and environmental data collection and analysis, comprising: the device automatically measures and collects the area of the room where the air conditioner is located, the number of people in the room, and the actual temperature in the room, automatically analyzes and establishes a rapid prediction model for indoor longitudinal temperature differences; automatically selects corresponding air conditioning air volume, air conditioning air outlet angle and other information through the rapid prediction model for indoor longitudinal temperature differences; processes information such as air conditioning air volume, air outlet angle and set temperature value to produce air conditioning control instructions, and sends them to the air conditioner, so that the environment in the room is comfortable without causing energy loss due to excessive cooling capacity or excessive air supply, and ultimately achieves the effect and purpose of energy saving and power saving of air conditioning.

[0068] The above disclosures are only a few specific embodiments of the present invention, but the present invention is not limited thereto. Any changes that can be conceived by those skilled in the art should fall within the scope of protection of the present invention.

Claims

1. An air conditioning control method based on intelligent air conditioning monitoring and environmental data collection, characterized in that: include: S1, receiving and responding to remote control commands issued by the air conditioner remote controller; S2. Obtain indoor image information and detect whether there is anyone in the room through the image information; When no one is detected in the room, the overall indoor cooling strategy is implemented to cool the room as a whole; When there is someone in the detection room, the corresponding air outlet angle information and air volume information are obtained when the temperature difference between the head and feet of the human body is the smallest; S3. Generate air conditioning control instructions and send them to the air conditioner; In S2, the corresponding air outlet angle information and air volume information when the temperature difference between the human head and feet is the smallest are obtained, including: (1) Obtaining the position information of the human body relative to the air conditioner; (2) The foot plane, waist plane, and head plane are set according to the position of the human body relative to the air conditioner, and a rapid prediction model of the indoor longitudinal temperature difference of the foot plane, waist plane, and head plane is established; The indoor longitudinal temperature difference rapid prediction model is used to select the air outlet angle and air volume information corresponding to the minimum temperature difference between the head plane temperature and the foot plane temperature; The foot plane, waist plane and head plane are set according to the position of the human body relative to the air conditioner, including: detecting the posture of the human body indoors through image information; Among them, human body posture includes standing, sitting, and lying; When in standing and sitting positions, the human foot, waist and head are selected as the foot plane, waist plane and head plane respectively; When the person is in a lying position, the height of the upper body of the person is calculated based on the image information, and the height of the upper body of the person is set to a first height value, with the ground as the foot plane, the plane where the person is located as the waist plane, and the plane higher than the first height value of the waist plane as the head plane; The overall indoor cooling strategy includes: adjusting the air conditioner outlet angle, adjusting the air conditioner outlet toward the top of the room, and reducing the air volume.

2. The air conditioning control method based on air conditioning intelligent monitoring and environmental data collection according to claim 1, characterized in that: Establish a rapid prediction model for indoor longitudinal temperature difference at the foot plane, waist plane and head plane, including: Obtain a training sample set; Bring the training sample set into the neural network for training and set the training error; In order to obtain a rapid prediction model of indoor longitudinal temperature difference based on neural network.

3. The air conditioning control method based on air conditioning intelligent monitoring and environmental data collection according to claim 1, characterized in that: The method further includes S4, detecting the indoor temperature in real time, and sending an air conditioning mode modification instruction of a cooling mode or a ventilation mode to the air conditioning cycle when the indoor temperature reaches the temperature value corresponding to the temperature setting instruction.

4. The air conditioning control method based on air conditioning intelligent monitoring and environmental data collection according to claim 3 is characterized in that: When sending an air conditioning mode modification instruction of cooling mode or air supply mode to the air conditioner cycle, including: setting the air conditioning mode change interval time value, and cyclically sending an air conditioning mode modification instruction of cooling mode or air supply mode to the air conditioner according to the air conditioning mode change interval time value.

5. The air conditioning control method based on air conditioning intelligent monitoring and environmental data collection according to claim 1, characterized in that: Before S3, an air conditioner swing blade reset instruction is first sent to the air conditioner, and the air conditioner swing blade is controlled to reset by the air conditioner reset instruction.

6. An air conditioning control device based on air conditioning intelligent monitoring and environmental data collection, used to execute the air conditioning control method based on air conditioning intelligent monitoring and environmental data collection according to any one of claims 1 to 5, characterized in that: include: Timer; A communication unit, used to receive operating instructions from the air conditioner remote control and send control signals to the air conditioner; Temperature acquisition module, used to detect indoor temperature information in real time; Machine vision module, used to collect indoor image information; Ultrasonic distance measurement module, used to detect the position of the human body relative to the air conditioner; The processing unit is used to receive and respond to signals from the communication unit, the temperature acquisition module, the machine vision module, the timer and the ultrasonic ranging module, and generate a control signal to be sent to the air conditioner through the communication unit.

7. The air conditioning control device based on air conditioning intelligent monitoring and environmental data collection according to claim 6, characterized in that: The communication unit includes an infrared transceiver unit, which is used to receive or send infrared signals. An infrared code library is also provided between the infrared transceiver unit and the processing unit. The infrared code library is used to convert the infrared signal received by the infrared transceiver unit into the control instruction or convert the operation instruction issued by the processing unit into an infrared signal.

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