Control method of air conditioner, air conditioner, computer readable storage medium

Abstract

This invention provides a control method for an air conditioner, an air conditioner, and a computer-readable storage medium. The method includes acquiring current indoor environmental factor parameters and non-environmental factor parameters. Environmental factor parameters include air temperature, relative humidity, average radiant temperature, and wind speed. Non-environmental factor parameters include human metabolic rate parameters and human clothing thermal resistance parameters. The method determines the human body heat load based on the environmental and non-environmental factor parameters. It calculates a predicted value for thermal comfort index based on the human body heat load and metabolic rate parameters. The method adjusts the gap between the upper and / or lower cover and the main body, or adjusts the fan speed of the air conditioner, based on the predicted thermal comfort index value. This solves the problem in existing energy-saving air conditioners where the air outlet has a relatively unidirectional airflow direction, making it difficult to achieve full coverage, which leads to air stagnation during cooling and heating, thus reducing user comfort.

Description

Technical Field

[0001] This application relates to the field of air conditioning technology, and more specifically, to a control method for an air conditioner, an air conditioner, and a computer-readable storage medium. Background Technology

[0002] Traditional wall-mounted air conditioners typically use fixed grilles or air guides with only limited oscillation angles at their air outlets, resulting in a single airflow direction and making it difficult to achieve comprehensive spatial coverage.

[0003] The limitations of this air supply structure result in low airflow efficiency: in summer cooling mode, the higher density of cold air tends to settle in the lower part of the room, leading to lower floor temperatures; while in winter heating mode, the lower density of hot air tends to linger in the upper part of the room, causing excessively high ceiling temperatures. This vertical temperature stratification easily creates the discomfort of being "hot at the head and cold at the feet" or "cold at the feet and hot at the head," severely impacting the user's living comfort. Summary of the Invention

[0004] The main objective of this invention is to provide a control method for an air conditioner, an air conditioner, and a computer-readable storage medium to solve the problem that air stagnation occurs during cooling and heating in existing energy-saving air conditioners because the air outlet has a relatively single air delivery direction, making it difficult to achieve all-round coverage, thereby reducing user comfort.

[0005] To achieve the above objectives, according to one aspect of the present invention, a control method for an air conditioner is provided. The air conditioner includes a main body, an upper cover and a lower cover located on both sides of the main body, both of which are movable relative to the main body to form an air outlet zone with the main body when moving away from it. The method includes:

[0006] Obtain the current indoor environmental factor parameter values ​​and non-environmental factor parameter values. Environmental factor parameter values ​​include air temperature, relative humidity, mean radiant temperature, and wind speed; non-environmental factor parameter values ​​include human metabolic rate parameters.

[0007] Human body heat load is determined based on environmental and non-environmental factor parameter values;

[0008] The predicted value of thermal comfort index is calculated based on the parameters of human body heat load and human body metabolic rate.

[0009] Adjust the gap between the top and / or bottom cover and the main body according to the predicted value of the thermal comfort index, or adjust the speed of the air conditioner's fan.

[0010] Furthermore, the steps for obtaining human metabolic rate parameters include:

[0011] Acquire the characteristic parameters of indoor personnel, including the number of personnel, their location, and their activity status;

[0012] Obtain the fitting function between the feature parameters and the human metabolic rate, and substitute the feature parameters into the fitting function to obtain the human metabolic rate parameters. The fitting function is (W) = 1.163 × ∑(MET) i ×weight i );

[0013] In the formula: W represents the human metabolic rate parameter; MET represents the metabolic equivalent of each person in the room; i represents the total number of people in the room.

[0014] Further, the step of obtaining the average radiation temperature includes:

[0015] Obtain the current indoor temperature of the black ball;

[0016] The first average radiation temperature is determined based on the black sphere temperature and air humidity, and is then marked as the average radiation temperature.

[0017] Further, a first average radiation temperature is determined based on the black sphere temperature and air humidity, and this first average radiation temperature is marked as the average radiation temperature, including:

[0018] The infrared image of the human body area in the room is captured at a set frame rate, and human body parameters are determined based on the infrared image. The human body parameters include the average temperature of the human body surface, the number of people in the room, and the position of the people.

[0019] Based on the mapping relationship between human body parameters and historical average radiation temperature, determine the historical average radiation temperature corresponding to the human body parameters at the current moment, and mark the historical average radiation temperature as the second average radiation temperature.

[0020] Calculate the difference in radiation temperature between the first average radiation temperature and the second average radiation temperature;

[0021] The first average radiation temperature is corrected in real time based on the difference in radiation temperature to obtain the average radiation temperature.

[0022] Furthermore, based on the parameters of human body heat load and human body metabolic rate, predicted values ​​of thermal comfort index are calculated, including:

[0023] Human body heat load and human body metabolic rate are input parameters into a real-time prediction model of thermal comfort index. The real-time prediction model is used to process human body heat load and human body metabolic rate to obtain the predicted value of thermal comfort index. The real-time prediction model is a model trained by machine learning using multiple sets of training data.

[0024] Furthermore, adjusting the gap between the upper and / or lower cover and the main body based on the predicted value of the thermal comfort index, or adjusting the fan speed of the air conditioner, including:

[0025] When there are multiple people indoors, the indoor area is divided into multiple zones;

[0026] Based on the human heat load and metabolic rate parameters of each indoor occupant in each area, the predicted value of the corresponding thermal comfort index for each area is calculated. The gap between the upper and / or lower cover and the main body is adjusted according to the predicted value of the thermal comfort index, or the fan speed of the air conditioner is adjusted.

[0027] Furthermore, based on the human heat load and metabolic rate parameters of each indoor occupant in each area, the predicted values ​​of the thermal comfort index for each area are calculated, including:

[0028] When there is only one person indoors in one of the areas, the thermal comfort index measurement value corresponding to that person is used as the predicted thermal comfort index value.

[0029] When there are multiple indoor occupants in a given area, a weighted average of the thermal comfort index measurements for each indoor occupant is taken to obtain the predicted thermal comfort index for that area.

[0030] Furthermore, when the predicted thermal comfort index value for each indoor occupant's area exceeds a first set value, the upper cover is controlled to move away from the main body, and the lower cover is controlled to move closer to the main body, while the fan speed is increased; and / or,

[0031] When the predicted thermal comfort index value for each indoor occupant's area is less than the second set value, the upper cover is controlled to move closer to the main body, and the lower cover is controlled to move further away from the main body while reducing the fan speed.

[0032] According to another aspect of the present invention, an air conditioner is provided that uses the method described above.

[0033] According to another aspect of the present invention, a computer-readable storage medium is provided, the computer-readable storage medium including a stored program, wherein, when the program is executed, it controls the device on which the computer-readable storage medium is located to perform the above-described method.

[0034] According to another aspect of the present invention, an electronic device is provided, comprising: one or more processors, a memory, and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the one or more processors, and the one or more programs include methods for performing the above-described methods.

[0035] By combining environmental parameters (air temperature, relative humidity, average radiant temperature, wind speed) with non-environmental parameters (human metabolic rate, clothing thermal resistance) to determine the human body's thermal load, and further calculating the predicted value of thermal comfort index, the thermal comfort state of the current indoor occupants can be comprehensively and objectively quantified, overcoming the limitations of traditional air conditioners that rely solely on a single ambient temperature for control. Based on this predicted value, the gap between the upper and lower covers and the main body, as well as the fan speed, are dynamically adjusted to achieve precise matching between the air supply direction, wind speed, and the actual thermal needs of the human body. This avoids the discomfort caused by direct cold / hot air blowing and improves the uniformity of indoor temperature distribution by optimizing airflow organization. Thus, while significantly improving the user's thermal comfort experience, the air conditioner achieves high efficiency and energy saving. Attached Figure Description

[0036] The accompanying drawings, which form part of this application, are used to provide a further understanding of the invention. The illustrative embodiments of the invention and their descriptions are used to explain the invention and do not constitute an undue limitation of the invention. In the drawings:

[0037] Figure 1 This paper illustrates a hardware structure block diagram of a mobile terminal for controlling an air conditioner according to an embodiment of this application.

[0038] Figure 2 A schematic diagram of the structure of an air conditioner according to an embodiment of this application is shown;

[0039] Figure 3 A structural diagram of the control device of an air conditioner according to an embodiment of this application is shown;

[0040] Figure 4 A flowchart illustrating a control method for an air conditioner according to an embodiment of this application is shown. Detailed Implementation

[0041] It should be noted that, unless otherwise specified, the embodiments and features described in this application can be combined with each other. The present invention will now be described in detail with reference to the accompanying drawings and embodiments.

[0042] Traditional wall-mounted air conditioners typically use fixed grilles or air guides with only limited oscillation angles at their air outlets, resulting in a single airflow direction and making it difficult to achieve comprehensive spatial coverage.

[0043] The limitations of this air supply structure result in low airflow efficiency: in summer cooling mode, the higher density of cold air tends to settle in the lower part of the room, leading to lower floor temperatures; while in winter heating mode, the lower density of hot air tends to linger in the upper part of the room, causing excessively high ceiling temperatures. This vertical temperature stratification easily creates the discomfort of being "hot at the head and cold at the feet" or "cold at the feet and hot at the head," severely impacting the user's living comfort.

[0044] To address the aforementioned issues, this application provides a control method for an air conditioner, an air conditioner, and a computer-readable storage medium, in order to solve the problem that air stagnation occurs during cooling and heating due to the limited airflow direction of the air conditioner's outlet, which makes it difficult to achieve full coverage and thus reduces user comfort.

[0045] The technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention.

[0046] The methods and embodiments provided in this application can be executed on a mobile terminal, computer terminal, or similar computing device. Taking running on a mobile terminal as an example, Figure 1 This is a hardware structure block diagram of a mobile terminal for an air conditioner control method according to an embodiment of the present invention. Figure 1 As shown, a mobile terminal may include one or more ( Figure 1 Only one is shown in the diagram. A processor 102 (which may include, but is not limited to, a microprocessor MCU or a programmable logic device FPGA, etc.) and a memory 104 for storing data are also shown. The mobile terminal may further include a transmission device 106 for communication functions and an input / output device 108. Those skilled in the art will understand that... Figure 1 The structure shown is for illustrative purposes only and does not limit the structure of the mobile terminal described above. For example, the mobile terminal may also include components that are more... Figure 1 The more or fewer components shown, or having the same Figure 1 The different configurations shown.

[0047] The memory 104 can be used to store computer programs, such as application software programs and modules, like the computer program corresponding to the air conditioner control method in this embodiment of the invention. The processor 102 executes various functional applications and data processing by running the computer program stored in the memory 104, thereby implementing the above-described method. The memory 104 may include high-speed random access memory and non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some instances, the memory 104 may further include memory remotely located relative to the processor 102, and these remote memories can be connected to the mobile terminal via a network. Examples of the aforementioned networks include, but are not limited to, the Internet, corporate intranets, local area networks, mobile communication networks, and combinations thereof. The transmission device 106 is used to receive or send data via a network. Specific examples of the aforementioned networks may include wireless networks provided by the mobile terminal's communication provider. In one example, the transmission device 106 includes a network interface controller (NIC), which can be connected to other network devices via a base station to communicate with the Internet. In one example, the transmission device 106 may be a radio frequency (RF) module, which is used to communicate with the Internet wirelessly.

[0048] This embodiment provides a control method for an air conditioner that runs on a mobile terminal, computer terminal, or similar computing device. It should be noted that the steps shown in the flowchart in the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions. Also, although a logical order is shown in the flowchart, in some cases, the steps shown or described may be executed in a different order than that shown here.

[0049] This application first provides a control method for an air conditioner, such as... Figure 2 As shown, the air conditioner includes:

[0050] The main body 200, the upper cover 201 and the lower cover 202 located on both sides of the main body 200, can both move relative to the main body 200 so that when moving away from the main body 200, they form an air outlet area with the main body 200.

[0051] Specifically, an electric actuator 203 is provided on the main body 200. One end of the electric actuator 203 is fixedly connected to the main body 200. The pushing end of the electric actuator 203 is used to connect with the upper cover 201 and the lower cover 202 respectively, and then used to push the upper cover 201 and the lower cover 202 to move away from the main body 200 respectively, so that an upper air outlet area is formed between the upper cover 201 and the edge and the main body 200, and a lower air outlet area is formed between the lower cover 202 and the main body 200. In this embodiment, the upper air outlet area and the lower air outlet area are collectively referred to as the air outlet area.

[0052] The upper cover 201 and lower cover 202 both feature a semi-circular design, with curvatures between 30mm and 50mm. The air conditioner also includes an evaporator 204 and a fan assembly 205 housed within the evaporator 204. The fan assembly 205 has a grille 206. The air conditioner further includes a detachable mounting bracket 207 mounted on the main body 200, allowing the air conditioner to be installed in a corner of the room. Figure 4 As shown, the control methods for air conditioners include:

[0053] Obtain the current indoor environmental factor parameter values ​​and non-environmental factor parameter values. Environmental factor parameter values ​​include air temperature, relative humidity, mean radiant temperature, and wind speed; non-environmental factor parameter values ​​include human metabolic rate parameter and human clothing thermal resistance parameter.

[0054] By substituting air temperature, relative humidity, mean radiant temperature, wind speed, human metabolic rate parameters, and human clothing thermal resistance parameters into the calculation formula for human body heat load, the human body heat load can be determined based on environmental factor parameter values ​​and non-environmental factor parameter values. The calculation formula for human body heat load is as follows:

[0055] L=Met×A D ×(1-η)

[0056] In the above formula: L represents the human body's heat load;

[0057] Met represents the human metabolic rate;

[0058] A D Represents the surface area of ​​the human body;

[0059] Among them, A D =0.202×m 0.425 ×h 0.725 ;

[0060] In the above formula: m represents body weight (kg);

[0061] h represents height (m);

[0062] Adult A D Approximately 1.8m2 ;

[0063] η represents human mechanical efficiency (the human mechanical efficiency is about 0 in most daily activities, between 0 and 20% in sports, and 0 in an office setting when a person is sitting still).

[0064] The predicted value of thermal comfort index is calculated based on the parameters of human body heat load and human body metabolic rate. Specifically, the calculated human body heat load and human body metabolic rate are substituted into the calculation formula of thermal comfort index to obtain the predicted value of thermal comfort index.

[0065] This technical solution acquires real-time environmental factors such as indoor air temperature, relative humidity, average radiant temperature, and wind speed, as well as non-environmental factors such as human metabolic rate and clothing thermal resistance. These multi-dimensional parameters are then substituted into the calculation formula for human thermal load and predicted thermal comfort index (PMV). This technical solution can accurately quantify the actual thermal sensation of the human body in the current environment.

[0066] Compared to the traditional air conditioning system that relies solely on air temperature for coarse control, this solution achieves a shift in control logic from an environment-centric approach to one centered on human thermal comfort through precise calculation of heat load.

[0067] Based on this, combined with the adjustable air outlet structure generated by the upper cover 201 and lower cover 202 driven by the electric actuator 203, the system can dynamically adjust the opening and closing gap and air delivery angle of the upper and lower air outlets according to the deviation of the calculated thermal comfort index prediction value. This eliminates temperature stratification phenomena such as "hot head and cold feet" while avoiding direct blowing of cold / hot air onto the human body, significantly improving the uniformity of the indoor temperature field and the comfort of human thermal perception, and effectively reducing energy waste caused by excessive cooling or heating.

[0068] Specifically, the formula for calculating the predicted value of the thermal comfort index is as follows:

[0069]

[0070] In the formula: PMV represents the predicted value of thermal comfort index;

[0071] Met represents the human metabolic rate;

[0072] L represents the human body's thermal load.

[0073] Adjust the gap between the upper and / or lower cover and the main body according to the predicted value of thermal comfort index, or adjust the speed of the air conditioner fan;

[0074] Specifically, when the PMV value indicates that the room is overheated at the current moment, the electric actuator 203 connected to the upper cover 201 is controlled to move, so that the upper cover 201 moves away from the main body 200, thereby increasing the size of the upper air outlet area formed between the upper cover 201 and the main body 200 and decreasing the size of the lower air outlet area formed between the lower cover 202 and the main body 200. At the same time, changing the size of the upper air outlet area can also adjust the air supply angle. Because the inner surface of the upper cover 201 is a spherical surface, the generated air will first blow onto the inner surface of the upper cover 201 and then flow out from the upper air outlet area to the ceiling or wall. This allows the blown air to be delivered horizontally along the ceiling or wall, extending at the ceiling or wall to form a cool air canopy. Because the density of cold air is relatively high, it will gradually sink, so that the air blown by the air conditioner can evenly cover the entire room, rather than being concentrated on one person. At the same time, the fan speed of the fan assembly 205 can also be increased.

[0075] When the PMV value represents the current indoor subcooling, the electric actuator 203 connected to the lower cover 202 is controlled to move, causing the lower cover 202 to move away from the main body 200. This increases the size of the lower air outlet area formed between the lower cover 202 and the main body 200, and decreases the size of the upper air outlet area formed between the upper cover 201 and the main body 200. By changing the size of the upper air outlet area, the air delivery angle can also be adjusted. Because the inner surface of the lower cover 202 is spherical, the generated air will first blow onto the inner surface of the lower cover 202, and then the Coanda effect will be used to allow the generated hot air to be delivered close to the ground or wall, thus forming a carpet effect. At the same time, the fan speed of the fan assembly 205 can also be reduced.

[0076] By coupling the predicted PMV thermal comfort index with the mechanical structure movement of the spherical air outlet and the fan speed, this solution achieves differentiated and precise air supply adjustment based on human thermal comfort needs.

[0077] Specifically, when indoor overheating is detected, the gap between the upper air outlet zones is increased, and the fan speed is increased. Utilizing the spherical curved surface characteristics and Coanda effect of the inner surface of the upper cover 201, the cold air is transformed into a "sky curtain wind" that adheres to the ceiling or wall. Due to its higher density, the cold air naturally sinks, forming a uniform vertical temperature gradient across the entire area. This achieves rapid cooling over a large area while completely avoiding the discomfort caused by cold air blowing directly on the human body.

[0078] Conversely, when the room is detected to be too cold, the gap between the lower air outlets is increased and the fan speed is reduced. Utilizing the spherical curved surface of the lower cover 202 and the Coanda effect, the hot airflow is transformed into a "carpet wind" that adheres to the floor or wall. Because the hot air has a lower density, it rises naturally, effectively improving the temperature stratification phenomenon of "hot head, cold feet" during traditional air conditioning heating, ensuring that heat is preferentially applied to the areas where people are active.

[0079] Furthermore, by adjusting the gap between the upper and lower air outlet zones and coordinating the adjustment of the fan, this solution can achieve a dynamic balance of air supply direction, air supply range, and wind speed intensity on a single air conditioner. This not only improves the uniformity of indoor temperature distribution and thermal comfort but also reduces energy consumption by avoiding ineffective air supply.

[0080] Specifically, the air conditioner is also equipped with a temperature and humidity sensor to collect the indoor air temperature and relative humidity every 5 seconds, and a black ball temperature sensor to obtain the indoor average radiant temperature every 5 seconds.

[0081] By setting temperature and humidity sensors and a black ball temperature sensor and setting a fixed acquisition cycle of 5 seconds, high-frequency, real-time monitoring of key environmental parameters such as indoor air temperature, relative humidity, and mean radiant temperature can be achieved. This ensures that the acquired data is timely and representative, thereby providing accurate and dynamic environmental parameter inputs for subsequent predictions of human body heat load and thermal comfort indexes based on the PMV algorithm. This effectively avoids control lag or misjudgment caused by data lag, and improves the sensitivity of the air conditioning system to environmental changes and the accuracy of thermal comfort control.

[0082] Furthermore, the steps for obtaining human metabolic rate parameters include:

[0083] Acquire the characteristic parameters of indoor personnel, including the number of personnel, their location, and their activity status;

[0084] Obtain the fitting function between the feature parameters and the human metabolic rate, and substitute the feature parameters into the fitting function to obtain the human metabolic rate parameters. The fitting function is (W) = 1.163 × ∑(MET) i ×weight i );

[0085] In the formula: W represents the human metabolic rate parameter;

[0086] MET represents the metabolic equivalent of each person in the room;

[0087] i represents the total number of people indoors.

[0088] For example, when there are a total of 3 people indoors, the weight and activity level of each person are as follows:

[0089] A: 70kg, sitting still;

[0090] B: 65kg, moderate activity;

[0091] C: 75kg, sitting still;

[0092] Then ∑(MET) i ×weight i The result is (1.0×70) + (3.5×65) + (1.0×75) = 70 + 227.5 + 75 = 372.5;

[0093] Total metabolic rate = 1.163 × 372.5 ≈ 433.3 W.

[0094] The correspondence between personnel activity status and MET values ​​and metabolic rates is shown in Table 1 below:

[0095] Table 1

[0096]

[0097] Specifically, a millimeter-wave radar module installed on the air conditioner can identify the activity status of people indoors every 10 seconds, including scenarios such as sitting, light activity, and moderate activity; an infrared thermal imager installed on the air conditioner can identify and capture the number of people indoors, their location, and the average body surface temperature distribution of the people indoors.

[0098] This technical solution comprehensively and accurately acquires parameters reflecting human physiological activity characteristics by combining the ability of millimeter-wave radar modules to identify human activity states with the ability of infrared thermal imagers to capture the number, location, and surface temperature distribution of people. Then, using a pre-defined fitting function, these discrete feature parameters are transformed into continuous human metabolic rate parameters, achieving accurate mapping from non-contact multi-source sensing data to the core input parameters of the PMV thermal comfort algorithm. This not only solves the technical challenge of traditional air conditioning systems being unable to quantify dynamic human metabolic levels but also ensures the accuracy and individualized adaptation of human heat load calculation in scenarios with multiple people and multiple activity states, thus providing reliable data support for subsequent precise adjustment of the dual-spherical air outlets.

[0099] Further, the step of obtaining the average radiation temperature includes:

[0100] Obtain the current indoor temperature of the black ball;

[0101] The temperature of the black sphere is used as the first average radiation temperature, and the first average radiation temperature is marked as the average radiation temperature.

[0102] By acquiring the indoor black sphere temperature in real time and using it as the first average radiation temperature and the final indoor average radiation temperature, the traditional multi-point temperature measurement method can effectively overcome the problems of difficult deployment and large data fusion errors in complex indoor environments by using the black sphere temperature sensor as a single and stable physical measurement source.

[0103] Furthermore, the black sphere temperature is used as the first average radiation temperature, and this first average radiation temperature is labeled as the average radiation temperature, including:

[0104] Infrared thermal imagers installed on air conditioners capture infrared images of indoor human body areas at a set frame rate, and human body parameters are determined based on the infrared images. These parameters include the average surface temperature of the human body, the number of people in the room, and the location of the people.

[0105] Based on the mapping relationship between human body parameters and historical average radiation temperature, determine the historical average radiation temperature corresponding to the human body parameters at the current moment, and mark the historical average radiation temperature as the second average radiation temperature.

[0106] Calculate the difference in radiation temperature between the first average radiation temperature and the second average radiation temperature;

[0107] The first average radiation temperature is corrected in real time based on the difference in radiation temperature to obtain the average radiation temperature.

[0108] By introducing an infrared thermal imager to capture human body parameters such as surface temperature, number, and location in real time, and establishing a mapping relationship between these parameters and historical average radiation temperature to obtain a second average radiation temperature, the current radiative heat exchange environment can be dynamically assessed based on the actual distribution of people indoors. Furthermore, by calculating the difference between the first average radiation temperature (determined based on black sphere temperature and humidity) and the second average radiation temperature (based on human body thermal imaging inversion), the first average radiation temperature is corrected in real time. This dual-source data fusion and cross-validation mechanism effectively eliminates measurement bias or lag that may occur with a single sensor in a complex indoor environment, ensuring that the environmental parameters on which the PMV thermal comfort algorithm relies can truly reflect the radiative heat exchange situation actually felt by the human body, thereby improving the accuracy and comfort of air conditioning air supply control.

[0109] Specifically, the infrared thermal imager performs a step every 10 seconds.

[0110] Specifically, the frame rate is set to 10fps.

[0111] Furthermore, based on the parameters of human body heat load and human body metabolic rate, predicted values ​​of thermal comfort index are calculated, including:

[0112] Human body heat load and human body metabolic rate are input parameters into a real-time prediction model of thermal comfort index. The real-time prediction model is used to process human body heat load and human body metabolic rate to obtain the predicted value of thermal comfort index. The real-time prediction model is a model trained by machine learning using multiple sets of training data.

[0113] By constructing a real-time prediction model trained on machine learning, and using human body heat load and metabolic rate as input parameters for nonlinear mapping, this model overcomes the limitations of traditional models that are rigid and difficult to adapt to complex and dynamic indoor environments when calculating PMV values ​​based on the ISO 7730 standard formula. Through learning from multiple sets of historical training data, this model can more accurately capture the complex coupling relationship between environmental parameters, human body state, and thermal comfort perception, thereby achieving high-precision, real-time prediction of thermal comfort index values. This not only improves the system's computational efficiency and prediction accuracy under varying operating conditions, but also enables air conditioning control strategies to respond more sensitively to changes in human thermal comfort needs, providing intelligent algorithmic support for personalized comfort air supply control.

[0114] Furthermore, adjusting the gap between the upper and / or lower cover and the main body based on the predicted value of the thermal comfort index, or adjusting the fan speed of the air conditioner, including:

[0115] When there are multiple people indoors, the indoor area is divided into multiple zones;

[0116] Based on the human heat load and metabolic rate parameters of each indoor occupant in each area, the predicted value of the corresponding thermal comfort index for each area is calculated. The gap between the upper and / or lower cover and the main body is adjusted according to the predicted value of the thermal comfort index, or the fan speed of the air conditioner is adjusted.

[0117] By dividing the indoor space into multiple zones and calculating the predicted thermal comfort index values ​​for people in each zone, the system can independently assess the differentiated thermal needs of people in different locations and activity states in multi-person scenarios. This guides the asymmetrical or differentiated gap adjustment of the upper and lower spherical air outlets and the adjustment of the fan speed. This zoned control strategy based on the predicted local thermal comfort index values ​​avoids the problems caused by traditional single global control. It enables cold / hot air to be accurately delivered to specific areas with large thermal comfort deviations. This not only solves the contradiction of uneven heating and cooling when multiple people coexist, but also reduces the output of ineffective air volume by delivering air on demand, thereby improving the overall control's targeting and energy efficiency ratio.

[0118] Furthermore, based on the human heat load and metabolic rate parameters of each indoor occupant in each area, the predicted values ​​of the thermal comfort index for each area are calculated, including:

[0119] When there is only one person indoors in one of the areas, the thermal comfort index measurement value corresponding to that person is used as the predicted thermal comfort index value.

[0120] When there are multiple indoor occupants in a given area, a weighted average of the thermal comfort index measurements for each indoor occupant is taken to obtain the predicted thermal comfort index for that area.

[0121] By directly determining the predicted thermal comfort index value of a single person's area as the measured thermal comfort index value, the calculation logic in single-person scenarios is simplified and the response speed is improved. In multi-person areas, the predicted value of the area is obtained by weighted averaging the measured thermal comfort index values ​​of each person. This can comprehensively reflect the overall thermal comfort needs of all people in the area, avoiding the excessive influence of a single extreme value on the control strategy. This makes the control commands of the dual spherical air outlets more in line with the comfort preferences of most people, thus achieving more balanced and precise thermal comfort control in multi-person coexistence scenarios.

[0122] Furthermore, when the predicted thermal comfort index value of the area corresponding to each indoor person is greater than the first set value, the upper cover is controlled to move away from the main body, and the lower cover is controlled to move closer to the main body, and the fan speed is increased.

[0123] By simultaneously increasing the fan speed when the upper cover 201 moves away from the main body 200 and the lower cover 202 moves closer to the main body 200, the upper air outlet can form a ceiling-like wind to accelerate the sinking and diffusion of cold air, while the lower air outlet can form a strong carpet wind to enhance the air circulation on the ground. This dual-air outlet coordinated large-volume air supply mode can quickly reduce the ambient temperature and average radiant temperature when people in the room feel overheated (the predicted value is greater than the first set value), eliminate local heat accumulation, achieve rapid cooling and restore to a comfortable state.

[0124] When the predicted thermal comfort index value for each indoor occupant's area is less than the second set value, the upper cover is controlled to move closer to the main body, and the lower cover is controlled to move further away from the main body while reducing the fan speed.

[0125] When the predicted thermal comfort index value of each indoor area is greater than the first set value and less than the second set value, it is necessary to simultaneously control the distance between the upper cover 201 and the lower cover 202 relative to the main body 200, and simultaneously control the speed of the fan in the fan assembly 205, so that the upper air outlet and the lower air outlet can emit air at the same time, so that the air blown from the upper air outlet and the lower air outlet can enter the various areas of the room in different forms, thereby meeting the requirements of indoor occupants in different areas.

[0126] This allows airflow from the same air conditioner to cover and act on different spatial areas through different air outlet angles and speeds. In other words, by physically separating the airflow and dynamically adjusting the angle, a single air conditioner can provide differentiated air supply adjustment for different areas of the room (overheated, overcooled, comfortable) without the need for additional air conditioning equipment.

[0127] By simultaneously reducing the fan speed when the upper cover 201 moves closer to the main body 200 and the lower cover 202 moves away from the main body 200, the upper air outlet can generate a downward carpet wind to accelerate the sinking of hot air, while the lower air outlet generates a gentle canopy wind to assist the diffusion of hot air. This low-speed air supply mode with dual air outlets working together can effectively break the indoor temperature stratification when people feel too cold (the predicted value is less than the second set value), promote the uniform distribution of heat and increase the perceived temperature, avoid the discomfort caused by direct cold air blowing, and thus quickly relieve the cold feeling caused by low temperature.

[0128] Specifically, the first setting is that the predicted PMV value is greater than or equal to 0.5; the second setting is that the predicted PMV value is less than or equal to 0.5.

[0129] When the predicted PMV value is between -0.5 and +0.5, it indicates that the value is in the comfort zone and no adjustment is required.

[0130] This application also provides an air conditioner that is regulated using the control method described above.

[0131] It should be noted that the steps shown in the flowchart in the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions, and although a logical order is shown in the flowchart, in some cases the steps shown or described may be executed in a different order than that shown here.

[0132] This application also provides a control device for an air conditioner. It should be noted that the control device for the air conditioner in this application can be used to execute the control method for an air conditioner provided in this application. This device is used to implement the above embodiments and preferred embodiments; details already described will not be repeated. As used below, the term "module" can refer to a combination of software and / or hardware that implements a predetermined function. Although the device described in the following embodiments is preferably implemented in software, hardware implementation, or a combination of software and hardware, is also possible and contemplated.

[0133] The control device for the air conditioner provided in the embodiments of this application will be described below.

[0134] Figure 3 This is a structural block diagram of the control device for an air conditioner according to an embodiment of this application. Figure 3 As shown, the device includes:

[0135] The acquisition module 300 is configured to acquire the indoor environmental factor parameter values ​​and non-environmental factor parameter values ​​at the current moment. The environmental factor parameter values ​​include air temperature, relative humidity, average radiation temperature, and wind speed. The non-environmental factor parameter values ​​include human metabolic rate parameters and human clothing thermal resistance parameters.

[0136] Determining module 301 is configured to determine human body heat load based on the environmental factor parameter values ​​and the non-environmental factor parameter values.

[0137] Calculation module 302 is configured to calculate the predicted value of thermal comfort index based on the human body heat load and human body metabolic rate parameters;

[0138] Adjustment module 303 is configured to adjust the gap between the upper cover and / or the lower cover and the main body according to the predicted value of the thermal comfort index, or to adjust the speed of the fan of the air conditioner.

[0139] The control device of the aforementioned air conditioner includes a processor and a memory. The aforementioned acquisition module 300, etc., are all stored as program units in the memory, and the processor executes these program units stored in the memory to achieve the corresponding functions. All of the aforementioned modules are located in the same processor; alternatively, the aforementioned modules may be located in different processors in any combination.

[0140] The processor contains a kernel, which retrieves the corresponding program units from memory. One or more kernels can be configured, and communication efficiency can be improved by adjusting kernel parameters.

[0141] The memory may include non-permanent memory in computer-readable media, such as random access memory (RAM) and / or non-volatile memory, such as read-only memory (ROM) or flash RAM, and the memory includes at least one memory chip.

[0142] This invention provides a computer-readable storage medium including a stored program, wherein, when the program is executed, it controls the device containing the computer-readable storage medium to perform the control method of the air conditioner.

[0143] Specifically, the control methods for air conditioners include:

[0144] S1. Obtain the current indoor environmental factor parameter values ​​and non-environmental factor parameter values. The environmental factor parameter values ​​include air temperature, relative humidity, average radiation temperature, and wind speed. The non-environmental factor parameter values ​​include human metabolic rate parameters and human clothing thermal resistance parameters.

[0145] S2. Determine the human body heat load based on the environmental factor parameter values ​​and the non-environmental factor parameter values;

[0146] S3. Calculate the predicted value of thermal comfort index based on the human body heat load and human body metabolic rate parameters;

[0147] S4. Adjust the gap between the upper cover and / or the lower cover and the main body according to the predicted value of the thermal comfort index, or adjust the speed of the air conditioner's fan.

[0148] This invention provides a processor for running a program, wherein the program executes the control method of the air conditioner.

[0149] Specifically, the control methods for air conditioners include:

[0150] S1. Obtain the current indoor environmental factor parameter values ​​and non-environmental factor parameter values. The environmental factor parameter values ​​include air temperature, relative humidity, average radiation temperature, and wind speed. The non-environmental factor parameter values ​​include human metabolic rate parameters and human clothing thermal resistance parameters.

[0151] S2. Determine the human body heat load based on the environmental factor parameter values ​​and the non-environmental factor parameter values;

[0152] S3. Calculate the predicted value of thermal comfort index based on the human body heat load and human body metabolic rate parameters;

[0153] S4. Adjust the gap between the upper cover and / or the lower cover and the main body according to the predicted value of the thermal comfort index, or adjust the speed of the air conditioner's fan.

[0154] This invention provides an electronic device, which includes a processor, a memory, and a program stored in the memory and executable on the processor. When the processor executes the program, it performs at least the following steps:

[0155] S1. Obtain the current indoor environmental factor parameter values ​​and non-environmental factor parameter values. The environmental factor parameter values ​​include air temperature, relative humidity, average radiation temperature, and wind speed. The non-environmental factor parameter values ​​include human metabolic rate parameters and human clothing thermal resistance parameters.

[0156] S2. Determine the human body heat load based on the environmental factor parameter values ​​and the non-environmental factor parameter values;

[0157] S3. Calculate the predicted value of thermal comfort index based on the human body heat load and human body metabolic rate parameters;

[0158] S4. Adjust the gap between the upper cover and / or the lower cover and the main body according to the predicted value of the thermal comfort index, or adjust the speed of the air conditioner's fan.

[0159] This application also provides a computer program product, which, when executed on a data processing device, is suitable for executing an initialization program having at least the following method steps:

[0160] S1. Obtain the current indoor environmental factor parameter values ​​and non-environmental factor parameter values. The environmental factor parameter values ​​include air temperature, relative humidity, average radiation temperature, and wind speed. The non-environmental factor parameter values ​​include human metabolic rate parameters and human clothing thermal resistance parameters.

[0161] S2. Determine the human body heat load based on the environmental factor parameter values ​​and the non-environmental factor parameter values;

[0162] S3. Calculate the predicted value of thermal comfort index based on the human body heat load and human body metabolic rate parameters;

[0163] S4. Adjust the gap between the upper cover and / or the lower cover and the main body according to the predicted value of the thermal comfort index, or adjust the speed of the air conditioner's fan.

[0164] It is obvious to those skilled in the art that the modules or steps of the present invention described above can be implemented using general-purpose computing devices. They can be centralized on a single computing device or distributed across a network of multiple computing devices. They can be implemented using computer-executable program code, and thus can be stored in a storage device for execution by a computing device. In some cases, the steps shown or described can be performed in a different order than those described herein, or they can be fabricated as separate integrated circuit modules, or multiple modules or steps can be fabricated as a single integrated circuit module. Thus, the present invention is not limited to any particular combination of hardware and software.

[0165] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program products. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program product embodied on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0166] This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart... Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0167] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0168] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0169] In a typical configuration, a computing device includes one or more processors (CPU), input / output interfaces, network interfaces, and memory.

[0170] Memory may include non-persistent memory in computer-readable media, such as random access memory (RAM) and / or non-volatile memory, such as read-only memory (ROM) or flash RAM. Memory is an example of computer-readable media.

[0171] Computer-readable media includes both permanent and non-permanent, removable and non-removable media that can store information by any method or technology. Information can be computer-readable instructions, data structures, modules of programs, or other data. Examples of computer storage media include, but are not limited to, phase-change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technologies, CD-ROM, digital versatile optical disc (DVD) or other optical storage, magnetic tape, magnetic tape, disk storage or other magnetic storage devices, or any other non-transferable medium that can be used to store information accessible by a computing device. As defined herein, computer-readable media does not include transient computer-readable media, such as modulated data signals and carrier waves.

[0172] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0173] It should be noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to limit the exemplary embodiments according to this application. As used herein, the singular form is intended to include the plural form as well, unless the context clearly indicates otherwise. Furthermore, it should be understood that when the terms "comprising" and / or "including" are used in this specification, they indicate the presence of features, steps, operations, devices, components, and / or combinations thereof.

[0174] Unless otherwise specifically stated, the relative arrangement, numerical expressions, and values ​​of the components and steps set forth in these embodiments do not limit the scope of the invention. It should also be understood that, for ease of description, the dimensions of the various parts shown in the drawings are not drawn to actual scale. Techniques, methods, and devices known to those skilled in the art may not be discussed in detail, but where appropriate, such techniques, methods, and devices should be considered part of the specification. In all examples shown and discussed herein, any specific values ​​should be interpreted as merely exemplary and not as limitations. Therefore, other examples of exemplary embodiments may have different values. It should be noted that similar reference numerals and letters in the following figures denote similar items; therefore, once an item is defined in one figure, it need not be further discussed in subsequent figures.

[0175] In the description of this invention, it should be understood that the orientation or positional relationship indicated by directional terms such as "front, back, up, down, left, right", "horizontal, vertical, horizontal" and "top, bottom" is generally based on the orientation or positional relationship shown in the accompanying drawings, and is only for the convenience of describing this invention and simplifying the description. Unless otherwise stated, these directional terms do not indicate or imply that the device or element referred to must have a specific orientation or be constructed and operated in a specific orientation, and therefore should not be construed as a limitation on the scope of protection of this invention; the directional terms "inner" and "outer" refer to the inner and outer contours relative to the outline of each component itself.

[0176] For ease of description, spatial relative terms such as "above," "on top of," "on the upper surface of," "above," etc., are used herein to describe the spatial positional relationship of a device or feature as shown in the figures to other devices or features. It should be understood that spatial relative terms are intended to encompass different orientations in use or operation beyond the orientation of the device as described in the figures. For example, if the device in the figures were inverted, a device described as "above" or "on top of" other devices or structures would subsequently be positioned as "below" or "under" other devices or structures. Thus, the exemplary term "above" can include both "above" and "below." The device may also be positioned in other different ways (rotated 90 degrees or in other orientations), and the spatial relative descriptions used herein will be interpreted accordingly.

[0177] Furthermore, it should be noted that the use of terms such as "first" and "second" to define components is merely for the purpose of distinguishing the corresponding components. Unless otherwise stated, the above terms have no special meaning and therefore should not be construed as limiting the scope of protection of this invention.

[0178] The above description is merely a preferred embodiment of the present invention and is not intended to limit the invention. Various modifications and variations can be made to the present invention by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

Claims

1. A control method for an air conditioner, characterized in that, The air conditioner includes a main body, an upper cover and a lower cover located on both sides of the main body, both of which are movable relative to the main body to form an air outlet zone with the main body when moving away from it. The method includes: The system acquires the current values ​​of indoor environmental factors and non-environmental factors. The environmental factors include air temperature, relative humidity, mean radiant temperature, and wind speed. The non-environmental factors include human metabolic rate. The human body heat load is determined based on the environmental factor parameter values ​​and the non-environmental factor parameter values. The predicted value of thermal comfort index is calculated based on the parameters of human body heat load and human body metabolic rate. Adjust the gap between the upper cover and / or the lower cover and the main body according to the predicted value of the thermal comfort index, or adjust the speed of the air conditioner's fan.

2. The control method for an air conditioner according to claim 1, characterized in that, The steps for obtaining human metabolic rate parameters include: Acquire characteristic parameters of people indoors, including the number of people, their location, and their activity status; Obtain the fitting function between the feature parameters and the human metabolic rate, and substitute the feature parameters into the fitting function to obtain the human metabolic rate parameter, wherein the fitting function is (W) = 1.163 × ∑(MET) i ×weight i ); In the formula: W represents the human metabolic rate parameter; MET represents the metabolic equivalent of each person in the room; i represents the total number of people in the room.

3. The control method for an air conditioner according to claim 1, characterized in that, The step of obtaining the average radiation temperature includes: Obtain the indoor temperature of the black ball at the current moment; The temperature of the black sphere is used as the first average radiation temperature, and the first average radiation temperature is marked as the average radiation temperature.

4. The control method for an air conditioner according to claim 3, characterized in that, Using the temperature of the black sphere as the first average radiation temperature, and marking the first average radiation temperature as the average radiation temperature, includes: Infrared images of indoor human body areas are captured at a set frame rate, and human body parameters are determined based on the infrared images. The human body parameters include the average surface temperature of the human body, the number of people in the room, and the position of the human body. Based on the mapping relationship between the human body parameters and the historical average radiation temperature, the historical average radiation temperature corresponding to the human body parameters at the current moment is determined, and the historical average radiation temperature is marked as the second average radiation temperature. Calculate the difference in radiation temperature between the first average radiation temperature and the second average radiation temperature; The first average radiation temperature is corrected in real time based on the radiation temperature difference to obtain the average radiation temperature.

5. The control method for an air conditioner according to claim 1, characterized in that, The calculation of the predicted value of the thermal comfort index based on the human body heat load and human body metabolic rate parameters includes: The human body heat load and the human body metabolic rate are input as input parameters into a real-time prediction model of thermal comfort index. The real-time prediction model is used to process the human body heat load and the human body metabolic rate to obtain a predicted value of thermal comfort index. The real-time prediction model is a model trained by machine learning using multiple sets of training data.

6. The control method for an air conditioner according to claim 1, characterized in that, Adjusting the gap between the upper cover and / or the lower cover and the main body according to the predicted value of the thermal comfort index, or adjusting the speed of the air conditioner's fan, including: When there are multiple people indoors, the indoor area is divided into multiple zones; Based on the human heat load and human metabolic rate parameters of each indoor occupant in each of the respective areas, the predicted value of the thermal comfort index corresponding to each area is calculated, so as to adjust the gap between the upper cover and / or the lower cover and the main body according to the predicted value of the thermal comfort index, or adjust the speed of the air conditioner fan.

7. The control method for an air conditioner according to claim 6, characterized in that, The predicted thermal comfort index value for each of the aforementioned areas is calculated based on the human heat load and metabolic rate parameters of each indoor occupant within each of the aforementioned areas, including: When the number of indoor occupants in one of the areas is one, the thermal comfort index measurement value corresponding to that indoor occupant is used as the predicted thermal comfort index value. When there are multiple indoor occupants in one of the areas, a weighted average is taken based on the thermal comfort index measurement values ​​corresponding to each indoor occupant to obtain the predicted thermal comfort index value for that area.

8. The control method for an air conditioner according to claim 6, characterized in that, When the predicted thermal comfort index value of the area corresponding to each of the indoor occupants is greater than a first set value, the upper cover is controlled to move away from the main body, and the lower cover is controlled to move closer to the main body, and the fan speed is increased; and / or, When the predicted value of the thermal comfort index for the area corresponding to each of the indoor occupants is less than the second set value, the upper cover is controlled to move closer to the main body, and the lower cover is controlled to move further away from the main body while reducing the speed of the fan.

9. An air conditioner, characterized in that, The air conditioner uses the method described in any one of claims 1 to 8.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium includes a stored program, wherein, when the program is executed, it controls the device on which the computer-readable storage medium is located to perform the method according to any one of claims 1 to 8.

11. An electronic device, characterized in that, include: One or more processors, a memory, and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the one or more processors, the one or more programs comprising methods for performing any one of claims 1 to 8.

Images