Air-conditioned seats and their control methods, devices, air conditioners, media and program products

Abstract

This invention discloses a control method, device, air-conditioned seat, air conditioner, storage medium, and computer program product for an air-conditioned seat. The method includes: acquiring visual parameters, temperature parameters, and pressure parameters of the air-conditioned seat; and controlling the opening and closing of at least one of two or more seat air vents based on preset human body key points, combined with the visual parameters, temperature parameters, and pressure parameters of the air-conditioned seat. The preset human body key points are a set of key points representing preset human postures and / or preset human body parts. This solution improves the comfort experience of using the air-conditioned seat by controlling the opening and closing of at least one of two or more seat air vents based on the mapping relationship between preset human body key points and seat air vents, combined with the temperature and pressure parameters of the air-conditioned seat.

Description

Technical Field

[0001] This invention belongs to the field of air conditioning technology, specifically relating to a control method, device, air conditioning seat, air conditioner, storage medium, and computer program product for an air-conditioned seat, and particularly to a control method, device, air conditioning seat, air conditioner, storage medium, and computer program product for an air-conditioned seat (such as an aircraft air-conditioned seat) based on key points of human body parts. Background Technology

[0002] In the relevant solutions, the air conditioning system where the air-conditioned seats are located adopts a centralized air supply method, which delivers cold air to the space where the air conditioning system is located through fixed air outlets. Although this method can basically meet the overall temperature control requirements of the space where the air conditioning system is located, it is obviously insufficient in terms of individual comfort.

[0003] The above content is only used to help understand the technical solution of the present invention and does not represent an admission that the above content is prior art. Summary of the Invention

[0004] The purpose of this invention is to provide a control method, device, air-conditioned seat, air conditioner, storage medium, and computer program product for an air-conditioned seat, in order to solve the problem that the air conditioning system of the air-conditioned seat adopts a centralized air supply method, and that prolonged sitting on the seat affects the comfort experience of the user. The invention achieves the effect of improving the comfort experience of the user by controlling the opening and closing of at least one of two or more air outlets of the seat based on a preset mapping relationship between key human body points and seat air outlets, combined with the temperature and pressure parameters of the air-conditioned seat.

[0005] This invention provides a control method for an air-conditioned seat, the air-conditioned seat having an air duct and a seat air outlet, the air duct being used to guide air from an air conditioning outlet in the environment where the air-conditioned seat is located to the seat air outlet; the number of seat air outlets is two or more; the control method for the air-conditioned seat includes: acquiring visual parameters of the air-conditioned seat, acquiring temperature parameters of the air-conditioned seat, and acquiring pressure parameters of the air-conditioned seat; based on preset human body key points, combined with the visual parameters, temperature parameters, and pressure parameters of the air-conditioned seat, controlling the opening and closing of at least one of the two or more seat air outlets; wherein, the preset human body key points are a set of key points used to characterize a preset human body posture and / or key points of a preset human body part.

[0006] In some embodiments, two or more of the seat air vents are distributed in the human body temperature sensing area on the air-conditioned seat; the human body temperature sensing area on the air-conditioned seat includes at least one of the seat cushion area, the backrest area, and the lower part of the seat cushion area; a visual acquisition system is provided in the environment where the air-conditioned seat is located, and a temperature acquisition system and a pressure acquisition system are provided at each of the two or more seat air vents on the air-conditioned seat; the visual parameters, temperature parameters, and pressure parameters of the air-conditioned seat are acquired, including: acquiring the visual parameters of the air-conditioned seat detected by the visual acquisition system, acquiring the temperature parameters of the air-conditioned seat detected by the temperature acquisition system, and acquiring the pressure parameters of the air-conditioned seat detected by the pressure acquisition system.

[0007] In some implementations, based on preset human body key points and combined with the visual parameters, temperature parameters, and pressure parameters of the air-conditioned seat, controlling the opening and closing of at least one of the two or more seat air vents includes: determining the mapping relationship between actual human body key points on the air-conditioned seat and two or more seat air vents based on the preset human body key points and the visual parameters of the air-conditioned seat; wherein, the actual human body key points are a set of key points used to characterize the actual posture of the human body and / or key points of actual human body parts; and controlling the opening and closing of at least one of the two or more seat air vents by combining the temperature parameters, pressure parameters, and mapping relationship between the actual human body key points and two or more seat air vents.

[0008] In some embodiments, when there is no human body on the air-conditioned seat, the visual parameters of the air-conditioned seat are recorded as the seat visual parameters; when there is a human body on the air-conditioned seat, the visual parameters of the air-conditioned seat are recorded as the human body visual parameters. The human body visual parameters of the air-conditioned seat include: a detection frame of the actual location of the human body on the air-conditioned seat, and key points of the human body on the air-conditioned seat. Based on preset human body key points, and according to the visual parameters of the air-conditioned seat, the mapping relationship between the actual human body key points on the air-conditioned seat and two or more seat air vents is determined, including: determining the position of each of the two or more seat air vents on the air-conditioned seat according to the seat visual parameters; determining the actual human body key points on the air-conditioned seat according to the correspondence between the key points of the human body on the air-conditioned seat and the preset human body key points in the visual parameters of the air-conditioned seat; and establishing the mapping relationship between the actual human body key points on the air-conditioned seat and two or more seat air vents based on the position of each of the two or more seat air vents on the air-conditioned seat and the correspondence between the actual human body key points on the air-conditioned seat.

[0009] In some implementations, controlling the opening and closing of at least one of the two or more air vents by combining the temperature parameters of the air-conditioned seat, the pressure parameters of the air-conditioned seat, and the mapping relationship between actual human key points on the air-conditioned seat and two or more air vents includes: determining a decision coefficient for the temperature parameters of the air-conditioned seat for at least one of the two or more air vents, denoted as the temperature decision coefficient of the air-conditioned seat; determining the confidence level of the actual human key points on the air-conditioned seat, denoted as the key point confidence level of the air-conditioned seat; determining whether the temperature parameters of the air-conditioned seat are greater than a preset temperature threshold; if the temperature parameters of the air-conditioned seat are determined to be greater than the preset temperature threshold, then controlling the opening and closing of at least one of the two or more air vents according to the temperature decision coefficient of the air-conditioned seat; if the temperature parameters of the air-conditioned seat are less than or equal to the preset temperature threshold, then controlling the opening and closing of at least one of the two or more air vents based on the key point confidence level of the air-conditioned seat, combined with the pressure parameters of the air-conditioned seat, and the mapping relationship between actual human key points on the air-conditioned seat and two or more air vents.

[0010] In some implementations, based on the key point confidence of the air-conditioned seat, combined with the pressure parameters of the air-conditioned seat and the mapping relationship between actual human body key points on the air-conditioned seat and two or more seat air vents, the opening and closing of at least one of the two or more seat air vents is controlled. This includes: for at least one of the two or more seat air vents, determining the decision coefficient of the actual human body key point on the air-conditioned seat, denoted as the key point decision coefficient of the air-conditioned seat, based on the mapping relationship between the actual human body key point on the air-conditioned seat and two or more seat air vents; and determining the decision coefficient of the pressure parameters of the air-conditioned seat, denoted as the pressure decision coefficient of the air-conditioned seat; determining whether the key point confidence of the air-conditioned seat is greater than a preset first confidence threshold; if the key point confidence of the air-conditioned seat is determined to be greater than the preset first confidence threshold, then controlling the opening and closing of two air vents based on the key point decision coefficient of the air-conditioned seat. The opening and closing of at least one of the seat air vents described above; if the confidence level of the key point of the air-conditioned seat is determined to be less than or equal to a preset first confidence threshold, then it is determined whether the pressure parameter of the air-conditioned seat is greater than a preset pressure threshold; if the pressure parameter of the air-conditioned seat is determined to be greater than the preset pressure threshold, then it is determined whether the confidence level of the key point of the air-conditioned seat is greater than a preset second confidence threshold; the preset first confidence threshold is greater than the preset second confidence threshold; if the confidence level of the key point of the air-conditioned seat is determined to be greater than the preset second confidence threshold, then the opening and closing of at least one of the two or more seat air vents is controlled according to the key point decision coefficient and the pressure decision coefficient of the air-conditioned seat; if the confidence level of the key point of the air-conditioned seat is determined to be less than or equal to the preset second confidence threshold, then the opening and closing of at least one of the two or more seat air vents is controlled according to the pressure decision coefficient of the air-conditioned seat.

[0011] In some embodiments, the method further includes: if a user sends an opening / closing command for any one of the two or more seat air vents, then controlling the opening / closing of at least one of the two or more seat air vents according to the user's command; and / or, if a user sends a health requirement parameter, then controlling the opening / closing of at least one of the two or more seat air vents according to the health requirement parameter; the health requirement parameter includes at least one of physical health parameters and disease parameters; and / or, acquiring the time the user has sat on the air-conditioned seat, and / or acquiring the time the user has maintained the same posture on the air-conditioned seat; if the user's sitting time on the air-conditioned seat exceeds a preset first time threshold, and / or if the user's time maintaining the same posture on the air-conditioned seat exceeds a preset second time threshold, then initiating a sedentary reminder message and simultaneously controlling the opening of at least one of the two or more seat air vents.

[0012] In conjunction with the above method, another aspect of the present invention provides a control device for an air-conditioned seat, the air-conditioned seat having an air duct and a seat air outlet, the air duct being used to guide air from an air conditioning outlet in the environment where the air-conditioned seat is located to the seat air outlet; the number of seat air outlets is two or more; the control device for the air-conditioned seat includes: an acquisition unit configured to acquire visual parameters of the air-conditioned seat, acquire temperature parameters of the air-conditioned seat, and acquire pressure parameters of the air-conditioned seat; and a control unit configured to control the opening and closing of at least one of the two or more seat air outlets based on preset human body key points, combined with the visual parameters, temperature parameters, and pressure parameters of the air-conditioned seat; wherein, the preset human body key points are a set of key points used to characterize a preset human body posture and / or key points of a preset human body part.

[0013] In some embodiments, two or more of the seat air vents are distributed in the human body temperature sensing area on the air-conditioned seat; the human body temperature sensing area on the air-conditioned seat includes at least one of the seat cushion area, the backrest area, and the lower part of the seat cushion area; a visual acquisition system is provided in the environment where the air-conditioned seat is located, and a temperature acquisition system and a pressure acquisition system are provided at each of the two or more seat air vents on the air-conditioned seat; the acquisition unit acquires the visual parameters of the air-conditioned seat, acquires the temperature parameters of the air-conditioned seat, and acquires the pressure parameters of the air-conditioned seat, including: acquiring the visual parameters of the air-conditioned seat detected by the visual acquisition system, acquiring the temperature parameters of the air-conditioned seat detected by the temperature acquisition system, and acquiring the pressure parameters of the air-conditioned seat detected by the pressure acquisition system.

[0014] In some embodiments, the control unit, based on preset human body key points and combined with the visual parameters, temperature parameters, and pressure parameters of the air-conditioned seat, controls the opening and closing of at least one of the two or more seat air vents, including: determining the mapping relationship between actual human body key points on the air-conditioned seat and two or more seat air vents based on the preset human body key points and the visual parameters of the air-conditioned seat; wherein, the actual human body key points are a set of key points used to characterize the actual posture of the human body and / or key points of actual human body parts; and controlling the opening and closing of at least one of the two or more seat air vents by combining the temperature parameters, pressure parameters, and mapping relationship between the actual human body key points and two or more seat air vents.

[0015] In some embodiments, when there is no human body on the air-conditioned seat, the visual parameters of the air-conditioned seat are recorded as the seat visual parameters; when there is a human body on the air-conditioned seat, the visual parameters of the air-conditioned seat are recorded as the human body visual parameters. The human body visual parameters of the air-conditioned seat include: a detection frame of the actual location of the human body on the air-conditioned seat, and key points of the human body on the air-conditioned seat. The control unit, based on preset human body key points and according to the visual parameters of the air-conditioned seat, determines the mapping relationship between the actual human body key points on the air-conditioned seat and two or more seat air vents, including: determining the position of each of the two or more seat air vents on the air-conditioned seat according to the seat visual parameters; determining the actual human body key points on the air-conditioned seat according to the correspondence between the key points of the human body on the air-conditioned seat and the preset human body key points in the visual parameters of the air-conditioned seat; and establishing the mapping relationship between the actual human body key points on the air-conditioned seat and two or more seat air vents according to the position of each of the two or more seat air vents on the air-conditioned seat and the correspondence between the actual human body key points on the air-conditioned seat.

[0016] In some embodiments, the control unit, combining the temperature parameters of the air-conditioned seat, the pressure parameters of the air-conditioned seat, and the mapping relationship between actual human key points on the air-conditioned seat and two or more seat air vents, controls the opening and closing of at least one of the two or more seat air vents, including: for at least one of the two or more seat air vents, determining a decision coefficient for the temperature parameters of the air-conditioned seat, denoted as the temperature decision coefficient of the air-conditioned seat; determining the confidence level of the actual human key points on the air-conditioned seat, denoted as the key point confidence level of the air-conditioned seat; determining whether the temperature parameters of the air-conditioned seat are greater than a preset temperature threshold; if the temperature parameters of the air-conditioned seat are determined to be greater than the preset temperature threshold, then controlling the opening and closing of at least one of the two or more seat air vents according to the temperature decision coefficient of the air-conditioned seat; if the temperature parameters of the air-conditioned seat are less than or equal to the preset temperature threshold, then controlling the opening and closing of at least one of the two or more seat air vents based on the key point confidence level of the air-conditioned seat, combined with the pressure parameters of the air-conditioned seat, and the mapping relationship between actual human key points on the air-conditioned seat and two or more seat air vents.

[0017] In some embodiments, the control unit, based on the key point confidence of the air-conditioned seat, combined with the pressure parameters of the air-conditioned seat and the mapping relationship between actual human key points on the air-conditioned seat and two or more seat air vents, controls the opening and closing of at least one of the two or more seat air vents, including: for at least one of the two or more seat air vents, determining the decision coefficient of the actual human key point on the air-conditioned seat, denoted as the key point decision coefficient of the air-conditioned seat, according to the mapping relationship between the actual human key point on the air-conditioned seat and two or more seat air vents; and determining the decision coefficient of the pressure parameters of the air-conditioned seat, denoted as the pressure decision coefficient of the air-conditioned seat; determining whether the key point confidence of the air-conditioned seat is greater than a preset first confidence threshold; if the key point confidence of the air-conditioned seat is determined to be greater than the preset first confidence threshold, then controlling the opening and closing of at least one of the two or more seat air vents based on the key point decision coefficient of the air-conditioned seat. The system controls the opening and closing of at least one of the two or more seat air vents; if the confidence level of the key point of the air-conditioned seat is determined to be less than or equal to a preset first confidence threshold, then it determines whether the pressure parameter of the air-conditioned seat is greater than a preset pressure threshold; if the pressure parameter of the air-conditioned seat is determined to be greater than the preset pressure threshold, then it determines whether the confidence level of the key point of the air-conditioned seat is greater than a preset second confidence threshold; if the confidence level of the key point of the air-conditioned seat is determined to be greater than the preset second confidence threshold, then the opening and closing of at least one of the two or more seat air vents is controlled according to the key point decision coefficient and the pressure decision coefficient of the air-conditioned seat; if the confidence level of the key point of the air-conditioned seat is determined to be less than or equal to the preset second confidence threshold, then the opening and closing of at least one of the two or more seat air vents is controlled according to the pressure decision coefficient of the air-conditioned seat.

[0018] In some embodiments, the control unit is further configured to: if it receives an opening / closing command from a user for any one of the two or more seat air vents, control the opening / closing of at least one of the two or more seat air vents according to the user's command; and / or, the control unit is further configured to: if it receives a health requirement parameter from a user, control the opening / closing of at least one of the two or more seat air vents according to the health requirement parameter; the health requirement parameter includes at least one of: physical health parameters and disease parameters; and / or, the acquisition unit is further configured to: acquire the time the user has been sitting on the air-conditioned seat, and / or acquire the time the user has maintained the same human posture on the air-conditioned seat; the control unit is further configured to: initiate a sedentary reminder message and simultaneously control the opening of at least one of the two or more seat air vents if the user's sitting time on the air-conditioned seat exceeds a preset first time threshold, and / or if the user's time maintaining the same human posture on the air-conditioned seat exceeds a preset second time threshold.

[0019] In conjunction with the above-mentioned device, the present invention further provides an air-conditioned seat and an air conditioner, including: the control device for the air-conditioned seat described above.

[0020] In conjunction with the above-described device, the present invention further provides an air conditioner, comprising: the control device for the air-conditioned seat described above, or the air-conditioned seat described above.

[0021] In conjunction with the above method, the present invention further provides a storage medium comprising a stored program, wherein, when the program is executed, the device containing the storage medium is controlled to perform the steps of the above-described air-conditioned seat control method.

[0022] In conjunction with the above method, the present invention further provides a computer program product, including a computer program that, when executed by a processor, implements the steps of the above-described air-conditioned seat control method.

[0023] Therefore, the solution of this invention, for air-conditioned seats (such as air-conditioned seats in vehicles), includes an air duct installed inside the seat, and air vents installed on the seat cushion, backrest, and lower part. The air duct connects the air conditioning vents to the seat vents, and there are two or more seat vents, each of which can be individually controlled for opening and closing. A visual acquisition system (such as a smart camera) is installed in the environment where the air-conditioned seat is located, and a temperature acquisition system (such as a temperature sensor) and a pressure acquisition system (such as a pressure sensor) are installed on the air-conditioned seat. This allows for control of the air-conditioned seat in various situations. The system acquires visual parameters detected by a visual acquisition system, temperature parameters detected by a temperature acquisition system, and pressure parameters detected by a pressure acquisition system. Based on preset human body key points, and combining the visual, temperature, and pressure parameters, it controls the opening and closing of the seat air vents. Thus, by using the preset mapping relationship between human body key points and seat air vents, and combining the temperature and pressure parameters of the air-conditioned seat, it controls the opening and closing of at least one of the two or more seat air vents, thereby improving the comfort experience of using the air-conditioned seat.

[0024] Other features and advantages of the invention will be set forth in the description which follows, and will be apparent in part from the description, or may be learned by practicing the invention.

[0025] The technical solution of the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. Attached Figure Description

[0026] Figure 1 This is a flowchart illustrating an embodiment of the air-conditioned seat control method of the present invention;

[0027] Figure 2 This is a flowchart illustrating an embodiment of the method of the present invention, which combines visual parameters, temperature parameters, and pressure parameters of the air-conditioned seat to control the opening and closing of at least one air outlet of the seat.

[0028] Figure 3 This is a flowchart illustrating an embodiment of the method of the present invention for determining the mapping relationship between actual key human body points on the air-conditioned seat and two or more air outlets of the seat;

[0029] Figure 4 This is a flowchart illustrating an embodiment of the method of the present invention, which combines the temperature parameters, pressure parameters, and key points of the actual human body to control the opening and closing of at least one air outlet of the air-conditioned seat.

[0030] Figure 5This is a flowchart illustrating an embodiment of the method of the present invention, which combines the pressure parameters of the air-conditioned seat with the mapping relationship between actual human body key points and two or more seat air vents to control the opening and closing of at least one seat air vent.

[0031] Figure 6 This is a flowchart illustrating one embodiment of the sedentary reminder method of the present invention;

[0032] Figure 7 This is a schematic diagram of a structure of an embodiment of the control device for an air-conditioned seat of the present invention;

[0033] Figure 8 The following is a schematic diagram of the structure of an aircraft air-conditioned seat provided in a specific embodiment of the present invention, wherein (a) is a schematic diagram of the structure of the side view of the aircraft air-conditioned seat, (b) is a schematic diagram of the partial structure of the side view of the aircraft air-conditioned seat, and (c) is a schematic diagram of the partial structure of the front view of the aircraft air-conditioned seat.

[0034] Figure 9 A flowchart illustrating a control method for an aircraft air-conditioned seat based on key points of human body parts, provided as a specific embodiment of the present invention;

[0035] Figure 10 The following is a schematic diagram of key points of human body parts detected by an in-cabin intelligent camera in a specific embodiment of the present invention: (a) is a schematic diagram of key points of human body parts of a young person sitting upright, (b) is a schematic diagram of key points of human body parts of a young person leaning back, and (c) is a schematic diagram of key points of human body parts of a young person crossing their legs.

[0036] Figure 11 A schematic diagram illustrating the transformation process between the in-cabin intelligent camera and the in-cabin spatial coordinate system provided for a specific embodiment of the present invention;

[0037] Figure 12 The diagram illustrates the mapping relationship between key points and air outlets in a specific embodiment of the present invention, wherein (a) is a schematic diagram. Figure 1 (b) is for illustration Figure 2 ;

[0038] Figure 13 A schematic diagram showing the correspondence between visual, temperature control, and piezoresistive sensing data for a single air outlet, provided for a specific embodiment of the present invention.

[0039] Figure 14 A schematic diagram illustrating the dynamic adjustment of the air outlet according to changes in human posture, provided for a specific embodiment of the present invention;

[0040] Figure 15 A schematic diagram of the state flow of the air outlet provided in a specific embodiment of the present invention;

[0041] Figure 16 A schematic diagram illustrating the state of a user-intelligent control and customized air outlet opening scheme provided in a specific embodiment of the present invention;

[0042] Figure 17 This is a schematic diagram of the partitioned cooling air outlet state provided in a specific embodiment of the present invention;

[0043] Figure 18 A schematic diagram of the periodic airflow circulation state provided for a specific embodiment of the present invention;

[0044] Figure 19 This is a schematic diagram of the active adjustment reminder state provided for a specific embodiment of the present invention.

[0045] Referring to the accompanying drawings, the reference numerals in the embodiments of the present invention are as follows:

[0046] 1-Air outlet; 2-Seat armrest; 3-Air conditioning heat dissipation material; 4-Intelligent operation terminal; 5-Temperature sensor; 6-Piezoresistive sensor; 7-Aircraft air conditioning seat control system; 8-Aircraft air conditioning inlet to the aircraft air conditioning seat; 9-Circuit wiring port of the aircraft air conditioning seat control system; 10-In-cabin intelligent camera; 100-Acquisition unit; 200-Control unit. Detailed Implementation

[0047] To make the objectives, technical solutions, and advantages of this invention clearer, the technical solutions of this invention will be clearly and completely described below in conjunction with specific embodiments and corresponding drawings. Obviously, the described embodiments are only a part of the embodiments of this invention, and not all of them. Based on the embodiments of this invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this invention.

[0048] Considering that the air conditioning systems for the air-conditioned seats use a centralized air supply method, and that prolonged sitting in these seats negatively impacts user comfort, the following points are noted. Specifically, for vehicles equipped with integrated air conditioning systems, the centralized air supply method delivers cool air to the space through fixed vents. While this method generally meets the overall temperature control needs of the space, it is significantly insufficient in terms of individual comfort. For example, because everyone's perceived temperature differs, generalized air supply cannot achieve precise cooling for each passenger, potentially causing some to feel too cold or too hot. Furthermore, during long journeys, passengers sitting still can cause heat buildup in certain areas of their body (such as the back and buttocks), severely affecting their comfort.

[0049] It is evident that integrated air conditioning systems in transportation vehicles employ a centralized air supply method, and passengers often remain seated for extended periods during long journeys, impacting their comfort. For example, taking integrated air conditioning systems used in aviation equipment as an example, with the rapid development of artificial intelligence and visual technologies, the intelligence level of aviation equipment is increasing, and consumers' demands for comfort and personalization in the cabin environment are becoming increasingly strong. Users hope to be able to independently adjust the airflow direction and temperature of the aircraft's air conditioning according to their own physical needs. However, in the aviation field, relevant aircraft air conditioning systems use a centralized air supply method, delivering cool air to the entire cabin through air vents on the top or side walls. While this method can generally meet the overall temperature control requirements of the cabin, it has significant shortcomings in terms of individual comfort. Because everyone's perceived temperature is different, generalized air supply cannot achieve precise cooling for each passenger, causing some passengers to feel too cold or too hot. Furthermore, during long flights, passengers often remain seated, leading to heat accumulation in certain areas of the body (such as the back and buttocks), severely affecting passenger comfort.

[0050] Meanwhile, the design of aircraft air conditioning systems should consider the needs and behavioral patterns of different users, often requiring temperature control for different parts of the body. Behavioral patterns refer to different postures (including sitting upright, leaning back, crossing legs, etc., mentioned later) and static / dynamic states. For example, the head and limbs have different sensitivities to temperature, and vital body parts such as the head are not suitable for direct airflow from aircraft air conditioning vents. Without targeted adjustments, the user experience will be significantly diminished. Therefore, how to achieve precise and intelligent airflow from aircraft air conditioning to meet the temperature control needs of different body parts has become a core problem that urgently needs to be solved in the current technological field.

[0051] Some solutions offer a method for controlling air-conditioned chairs by adjusting the power of a target temperature regulating device at the target location based on the outdoor ambient temperature and the contact temperature of the body part in contact with the target location. However, simple temperature sensors are easily affected by factors such as clothing coverage, activity status, and indoor environmental factors.

[0052] Some solutions offer an air-conditioned chair that uses internal ducts and several air vents to create two air supply paths, thereby meeting the body's temperature requirements. However, the air vents depend on the seat frame structure, and obviously, due to space constraints, the seat frame cannot accommodate many air vents, thus limiting the selectivity of the body's temperature requirements.

[0053] Some solutions offer an energy-efficient air-conditioned chair that automatically adjusts the temperature based on posture. This chair uses a pressure-sensing system to intelligently detect human posture and adjust the temperature accordingly. However, the pressure sensor may misjudge the posture if the passenger places items on the chair; and since each passenger's weight is different, simply setting a pressure threshold for detection is not reasonable.

[0054] Before formally introducing the solution of this invention, it should be noted that cabin cameras and cabin air conditioning systems are usually separate subsystems. However, modern aircraft (such as the Airbus A350) increasingly tend to integrate these systems into a unified control system to achieve higher collaborative efficiency and intelligent management. Integrating the cabin camera system with the air conditioning system lays the foundation for the feasibility of the solution of this invention.

[0055] Therefore, the present invention takes an aircraft air-conditioned seat as an example and proposes a control method for an air-conditioned seat. Specifically, it is a control method for an air-conditioned seat (such as an aircraft air-conditioned seat) based on key points of human body parts. The aircraft air-conditioned seat based on key points of human body parts combines seat sensors, in-cabin smart cameras, and in-cabin air conditioning systems to achieve multi-sensor data fusion, perform precise cooling, and improve the comfort experience of passengers.

[0056] According to an embodiment of the present invention, a method for controlling an air-conditioned seat is provided, such as... Figure 1 The diagram shows a flowchart of an embodiment of the method of the present invention. This control method for an air-conditioned seat is applied to an air conditioning control system having an air-conditioned seat. The air-conditioned seat has an air duct and an air outlet. The air duct guides air from the air conditioning outlet in the environment where the air-conditioned seat is located to the air outlet of the seat. The number of air outlets is two or more. The number of air ducts is not the same as the number of air outlets; the number of air outlets is much greater than the number of air ducts. Air conditioning air is delivered through the air duct, but the air duct is not directly connected to the air outlet. There is a space between the air duct and the air outlet, and the air conditioning air passes through this space and then exits through the air outlet. In the solution of the present invention, as... Figure 1 As shown, the control method for the air-conditioned seat includes steps S110 to S120.

[0057] In step S110, when it is necessary to control the air-conditioned seat, visual parameters, temperature parameters, and pressure parameters of the air-conditioned seat are acquired. For example, a visual acquisition system (such as a smart camera) is set up in the environment where the air-conditioned seat is located, and a temperature acquisition system (such as a temperature sensor) and a pressure acquisition system (such as a pressure sensor) are set up on the air-conditioned seat; when it is necessary to control the air-conditioned seat, the visual parameters detected by the visual acquisition system, the temperature parameters detected by the temperature acquisition system, and the pressure parameters detected by the pressure acquisition system are acquired.

[0058] In step S120, based on preset human body key points, and combined with the visual parameters, temperature parameters, and pressure parameters of the air-conditioned seat, the opening and closing of at least one of the two or more seat air vents is controlled. This improves the comfort experience of using the air-conditioned seat by controlling the opening and closing of at least one of the two or more seat air vents based on the mapping relationship between preset human body key points and seat air vents, combined with the temperature and pressure parameters of the air-conditioned seat. The preset human body key points are a set of key points representing preset human body postures and / or preset human body parts.

[0059] The present invention proposes a multi-source data fusion method that integrates visual data, temperature control sensing data, and piezoresistive sensing data. Based on the environment of the air-conditioned seat (such as the actual different environments inside an aircraft cabin), the method combines multiple sensors to make decisions on the posture of the human body on the air-conditioned seat (such as an aircraft air-conditioned seat), and comprehensively judges whether the air outlet is venting air, thereby achieving precise temperature control and improving the comfort experience of the human body when using the air-conditioned seat.

[0060] In some embodiments, two or more of the aforementioned seat air vents are distributed within the human temperature sensing area of ​​the air-conditioned seat; the human temperature sensing area of ​​the air-conditioned seat includes at least one of: the seat cushion area, the backrest area, and the lower part of the seat cushion area; wherein, the human temperature sensing area of ​​the air-conditioned seat refers to the area of ​​the air-conditioned seat capable of regulating human temperature sensation; for example, two or more of the aforementioned seat air vents are distributed on the seat cushion, backrest, and lower part of the air-conditioned seat. A visual acquisition system is installed in the environment where the air-conditioned seat is located, and a temperature acquisition system and a pressure acquisition system are installed at at least some of the two or more of the aforementioned seat air vents on the air-conditioned seat.

[0061] Step S110 involves acquiring the visual parameters, temperature parameters, and pressure parameters of the air-conditioned seat, including: acquiring the visual parameters of the air-conditioned seat detected by the visual acquisition system, acquiring the temperature parameters of the air-conditioned seat detected by the temperature acquisition system, and acquiring the pressure parameters of the air-conditioned seat detected by the pressure acquisition system.

[0062] Taking the air-conditioned seat on an aircraft as an example, for a description of the structure of the air-conditioned seat, please refer to [link / reference needed]. Figure 8 The example shown. Figure 8 The diagram illustrates the structure of an aircraft air-conditioned seat according to a specific embodiment of the present invention, wherein (a) is a side view of the aircraft air-conditioned seat, (b) is a partial structural diagram of the side view of the aircraft air-conditioned seat, and (c) is a partial structural diagram of the front view of the aircraft air-conditioned seat. Compared to related solutions, the aircraft seat structure of the present invention adds an internal air duct and an air outlet. Figure 8 As shown, the aircraft air-conditioned seat includes an air outlet 1, a seat armrest 2, air conditioning heat dissipation material 3, an intelligent operation terminal 4, a temperature sensor 5, a piezoresistive sensor 6, an aircraft air-conditioned seat control system 7, an air inlet from the aircraft air conditioner to the aircraft air-conditioned seat 8, a circuit connection port for the aircraft air-conditioned seat control system 9, and an in-cabin intelligent camera 10.

[0063] exist Figure 8 In the example shown, air vents 1 are provided on the seat cushion, backrest, and underside of the aircraft air-conditioned seat. Each independently operable air vent 1 passes through a temperature sensor 5 and a piezoresistive sensor 6; that is, the temperature sensor 5 and piezoresistive sensor 6 are arranged around the air vent 1. Air conditioning heat dissipation material 3 is located on the side opposite to the side with the air vent 1 in the seat cushion, backrest, and underside of the air-conditioned seat; that is, air conditioning heat dissipation material 3 is located on the side away from the air vent 1. The on / off state of the air vent 1 is adjusted via the aircraft air-conditioned seat control system 7. The air inlet 8 of the aircraft air conditioning system to the aircraft air-conditioned seat is generally ducted.

[0064] It should be noted that the cabin camera 10 and the cabin air conditioning system are usually separate subsystems, but in related applications, aircraft (such as the Airbus A350) are increasingly inclined to integrate these systems into a unified control system to achieve higher collaborative efficiency and intelligent management. System integration of the cabin camera system and the air conditioning system lays the foundation for the feasibility of the present invention.

[0065] In this invention, precise cooling is achieved through an aircraft air-conditioned seat: This addresses the shortcomings of generalized cooling systems in existing aircraft air conditioning solutions regarding individual passenger comfort. By detecting key points in the air vents corresponding to specific body parts, precise cooling is achieved for those specific areas. It also solves the temperature problem associated with prolonged sitting: During long flights, passengers often remain seated, leading to heat buildup in certain areas of the body (such as the back and buttocks). Especially on long-haul flights, this heat buildup can cause discomfort, fatigue, and irritability. The air vents 1 in the aircraft air-conditioned seat not only deliver cool air but also provide heat dissipation and ventilation, effectively removing heat from specific areas of the passenger's body and preventing discomfort caused by heat buildup. Furthermore, good ventilation improves seat breathability, reduces sweat buildup, and enhances the overall riding experience.

[0066] In some implementations, step S120 involves controlling the opening and closing of at least one of the two or more air vents of the air-conditioned seat based on preset human body key points, combined with the visual parameters, temperature parameters, and pressure parameters of the air-conditioned seat. See the following exemplary description for details.

[0067] The following is combined Figure 2 The schematic diagram shown is a flowchart of an embodiment of the method of the present invention, which combines the visual parameters, temperature parameters and pressure parameters of the air-conditioned seat to control the opening and closing of at least one air outlet of the seat. It further illustrates the specific process of controlling the opening and closing of at least one air outlet of the seat in step S120 by combining the visual parameters, temperature parameters and pressure parameters of the air-conditioned seat, including steps S210 to S220.

[0068] Step S210: Based on preset human body key points, determine the mapping relationship between the actual human body key points on the air-conditioned seat and two or more seat air vents according to the visual parameters of the air-conditioned seat; wherein, the actual human body key points are a set of key points used to characterize the actual posture of the human body and / or key points of the actual parts of the human body.

[0069] Step S220: Combining the temperature parameters of the air-conditioned seat, the pressure parameters of the air-conditioned seat, and the mapping relationship between the actual human body key points on the air-conditioned seat and the two or more seat air vents, control the opening and closing of at least one of the two or more seat air vents.

[0070] The present invention proposes a control scheme for an air-conditioned seat (such as an aircraft air-conditioned seat) based on key points of human body parts. This aircraft air-conditioned seat, based on key points of human body parts, combines seat sensors, an in-cabin smart camera, and an in-cabin air conditioning system to achieve multi-sensor data fusion and establish a mapping relationship between the detected key points of human body parts and the corresponding air vents of the aircraft air-conditioned seat. Thus, based on the key points of human body parts detected by the cabin smart camera, the opening and closing of the corresponding air vents of the aircraft air-conditioned seat are controlled to achieve precise cooling and improve the passenger comfort experience.

[0071] In some embodiments, when there is no human body on the air-conditioned seat, the visual parameters of the air-conditioned seat are recorded as the seat visual parameters of the air-conditioned seat; when there is a human body on the air-conditioned seat, the visual parameters of the air-conditioned seat are recorded as the human body visual parameters of the air-conditioned seat; the human body visual parameters of the air-conditioned seat include: the detection frame of the actual location of the human body on the air-conditioned seat, and the key points of the human body on the air-conditioned seat.

[0072] The specific process of determining the mapping relationship between the actual human body key points on the air-conditioned seat and two or more seat air vents based on the visual parameters of the air-conditioned seat in step S210 is illustrated in the following exemplary description.

[0073] The following is combined Figure 3 The schematic diagram shown is a flowchart of an embodiment of the method of the present invention for determining the mapping relationship between the actual human key points on the air-conditioned seat and two or more seat air vents. It further illustrates the specific process of determining the mapping relationship between the actual human key points on the air-conditioned seat and two or more seat air vents in step S210, including steps S310 to S330.

[0074] In step S310, the position of each of the two or more air vents on the air-conditioned seat is determined based on the seat visual parameters of the air-conditioned seat. For example, the position of each of the two or more air vents on the air-conditioned seat is determined using a pre-trained visual detection model based on the seat visual parameters of the air-conditioned seat.

[0075] In step S320, based on preset human body key points, the actual human body key points of the air-conditioned seat are determined according to the correspondence between the key points of the human body on the air-conditioned seat and the preset human body key points in the visual parameters of the air-conditioned seat. For example, based on the preset human body key points, the actual human body key points on the air-conditioned seat are determined using a pre-trained visual detection model according to the human body visual parameters of the air-conditioned seat. The preset human body posture or the posture in the actual human body posture includes at least one of the following: a sitting posture, a leaning posture, and a crossed-leg posture; the preset human body part or the part in the actual human body part includes at least one of the following: the head, the chest, the upper limbs, and the lower limbs.

[0076] In step S330, a mapping relationship is established between the actual human key points on the air-conditioned seat and the two or more seat air vents based on the position of each of the two or more seat air vents on the air-conditioned seat and the correspondence between the actual human key points on the air-conditioned seat.

[0077] Take the air-conditioned seats on an airplane as an example. Figure 9 This is a flowchart illustrating a control method for an aircraft air-conditioned seat based on key points of human body parts, provided as a specific embodiment of the present invention. Taking an air-conditioned seat on an aircraft as an example... Figure 9 As shown, the flow of the control method for aircraft air-conditioned seats based on key points of human body parts includes:

[0078] Step S10: The in-cabin smart camera 10 detects key points of human body parts, and then steps S20 are executed.

[0079] In an embodiment of the present invention, the intelligent camera 10 inside the aircraft cabin acquires real-time images collected inside the cabin to obtain a key point detection map of human body parts. The key point detection map of human body parts includes a detection box at the location of the human body, a set of key points of human body posture, and a set of key points of various parts of the human body.

[0080] The intelligent in-cabin camera 10 can employ a high-resolution, high-frame-rate optical camera to ensure clear and smooth capture of the cabin scene. The lens focal length and angle of view of the intelligent in-cabin camera 10 are selected according to the actual passenger aircraft cabin layout. Simultaneously, a visual detection model is used to process the acquired real-time images. The visual detection model (such as the YOLO-Keypoint series models) is pre-trained on large-scale human pose datasets (such as the COCO dataset, MPII human pose dataset, etc.), and can accurately identify the detection boxes at the location of the human body in the image, the human pose, and the key point sets of various parts of the human body.

[0081] The visual inspection model ultimately processes the keypoint data detected inside the cabin, including: the detected category information (Label). index The length information of the human body detection box along the two axes of the coordinate system and (w x ,w y ), the centroid information of the human detection box along both axes of the coordinate system (c x ,c y ), coordinate information of key points (x) n ,y n ), and the confidence information of this key point Conf n The output format of the visual detection model is shown in formula (1):

[0082] [Label index w x w y c x c y x1 y1 Conf1...x n y n Conf n (1).

[0083] Among them, w x ,w y This refers to the length of the detection box along both axes, specifically the length of the detection box in the x-direction and the length in the y-direction. And c... x ,c y This refers to the coordinate position along the x-axis and y-axis. In the code, subsequent programming is based on the output format of the visual detection model.

[0084] Figure 10 The diagram illustrates key points of human body parts detected by an in-cabin intelligent camera according to a specific embodiment of the present invention. (a) shows key points of human body parts in a young person sitting upright; (b) shows key points of human body parts in a young person leaning back; and (c) shows key points of human body parts in a young person with their legs crossed. Figure 10 As shown, Figure 10 This diagram illustrates the detection of key points on human body parts using an in-cabin vision camera and a YOLO vision detection model. It should be noted that... Figure 10 In the diagram, green dots represent the head, blue dots represent the upper limbs, purple dots represent the chest, and orange dots represent the lower limbs. Connecting these dots represents the skeletal structure of the human body. The red frame indicates the detected human body location, and the upper left corner of the frame displays the detected age and current posture. It should be noted that... Figure 10 The results shown are only simplified illustrations. The number and types of key points to be detected can be increased or decreased during training and inference in the YOLO vision detection model, depending on the level of detail required for the human body parts.

[0085] Step S20: The in-cabin smart camera 10 detects the mapping relationship between key human body points and the aircraft seat air vents (such as air vent 1), and then executes step S30. The key human body points here refer to the human posture and key points of various parts of the human body mentioned above.

[0086] In embodiments of the present invention, each air vent of the aircraft seat (e.g., vent 1) is precisely mapped to different parts of the human body. The key points of the human body detected by the in-cabin smart camera 10 are the specific human body parts corresponding to the human body, including the human posture. However, the key points of the human body detected by the in-cabin smart camera 10 are in a pixel coordinate system, which is a two-dimensional coordinate system that represents the position of a point on the image plane. Due to the projection transformation during the camera imaging process, depth information is lost, making it impossible to accurately obtain the position of a certain key point of the human body in the actual cabin. Furthermore, the unit of this coordinate system is pixels, and a pixel is a relative unit without actual physical meaning. Therefore, it is necessary to convert the pixel coordinate system of the in-cabin smart camera 10 into an image coordinate system.

[0087] In one embodiment, step S20 specifically includes the following steps: steps S201 to S203.

[0088] Step S201: Based on the description of the pixel coordinate system, image coordinate system, camera coordinate system and world coordinate system involved in the optical camera imaging process, obtain the transformation relationship from the world coordinate system to the pixel coordinate system, and then execute step S202.

[0089] Step S202: Using Zhang's calibration method and based on the known parameter information of the optical camera, obtain the parameters in the transformation relationship from the world coordinate system to the pixel coordinate system to establish the transformation relationship between the pixel points captured by the cabin intelligent camera 10 and the corresponding real space points in the cabin, and then execute step S203.

[0090] Step S203: Generally, before passengers board the aircraft, the in-cabin smart camera 10 can collect pixel coordinate information of the air vents of the fixed aircraft air-conditioned seats. After passengers board the aircraft, the in-cabin smart camera 10 detects passengers and detects key human body information. Based on the conversion relationship between "pixel points and real points" calculated in step S102, the real coordinate information of the aircraft air-conditioned seat air vents and key human body points is obtained, and then matched according to their real coordinate information.

[0091] For steps S201 to S203, the image information collected by the in-cabin smart camera 10 is in a two-dimensional coordinate system, while the aircraft cabin is in a three-dimensional coordinate system. The mapping relationship between the camera and the three-dimensional spatial points to the two-dimensional pixel plane can be described by the four coordinate systems involved in the optical camera imaging process: pixel coordinate system, image coordinate system, camera coordinate system, and world coordinate system.

[0092] Figure 11 This is a schematic diagram illustrating the transformation process between the in-cabin intelligent camera 10 and the in-cabin spatial coordinate system, provided as a specific embodiment of the present invention. Figure 11 As shown, the world coordinate system represents the three-dimensional coordinate system of the cabin interior space, and the origin and three-dimensional coordinate axes of this coordinate system can be arbitrarily set; the camera coordinate system represents the three-dimensional coordinate system in which the intelligent camera 10 is located, with the camera optical center as the origin, the camera optical axis as the z-axis, and the horizontal and vertical directions of the imaging plane as the x-axis and y-axis; the transformation from the world coordinate system to the camera coordinate system is actually a rigid transformation, which can be expressed by the homogeneous equation as formula (2):

[0093]

[0094] Among them, [x c ,y c ,z c ] T Let [x] be the coordinates of a point in real space in the camera coordinate system. w ,y w ,z w ] T R represents the coordinates of a point in real space in the world coordinate system. R is a 3×3 rotation matrix from the world coordinate system to the camera coordinate system. T is a 3×1 translation vector from the origin of the world coordinate system to the origin of the camera coordinate system.

[0095] Both the image coordinate system and the pixel coordinate system represent two-dimensional coordinate systems on the imaging plane within the camera. The unit of the image coordinate system is millimeters, and the origin is located at the center of the image, that is, at the intersection of the optical axis of the visual sensor and the imaging plane; the pixel coordinate system divides the acquired image into a grid, and each grid is a pixel. The origin of the pixel coordinate system is located at the upper left corner of the image. The transformation relationship between the image coordinate system and the pixel coordinate system is shown in formula (3):

[0096]

[0097] Where, [u,v,1] T Let [x] be the coordinates of a point in real space in the pixel coordinate system. im ,y im ,1] Tdx and dy are the coordinates of the real-world point in the image coordinate system. dx and dy are the unit scale transformation factors of the image coordinate system with respect to the x and y axes, respectively. u0 and v0 are the offsets of the origin of the image coordinate system relative to the origin of the pixel coordinate system along the two axes.

[0098] The transformation between the camera coordinate system and the image coordinate system is essentially based on the pinhole imaging principle. The camera captures light rays that enter the camera through a pinhole and are projected in a cone shape onto the imaging plane where the image coordinate system is located. The ideal image coordinate system and the camera coordinate system achieve a similar triangular relationship between the object and the image through pinhole imaging, as shown in formula (4):

[0099]

[0100] Among them, f c This refers to the camera's focal length.

[0101] Combining formulas (1), (2), and (3), we can obtain formula (4). Formula (4) uses a matrix to obtain the transformation relationship from the world coordinate system to the pixel coordinate system, as shown in formula (5). The schematic diagram of this transformation relationship is shown below. Figure 11 As shown.

[0102]

[0103] All parameters in formula (5) can be obtained using Zhang's calibration method and the known parameter information of the in-cabin intelligent camera 10. Therefore, when the in-cabin intelligent camera 10 acquires any point [u,v,1] in the image... T At that time, the corresponding three-dimensional real space point [x] in the indoor space where the air conditioner is located can be obtained. w ,y w ,z w ] T It is worth noting that the u and v coordinates in the images captured by the in-cabin smart camera 10 correspond to x in formula (1). n ,y n .

[0104] In step S203, when the passenger is not boarding, the cabin smart camera 10 will capture the air vents on the aircraft's air-conditioned seats; when the passenger sits down on the air-conditioned seats, the cabin smart camera 10 will capture key points of the human body; the information captured by the cabin smart camera 10 is all pixel information, and according to formula (5) in step S202, all of the above pixel information can be converted into real spatial information. The three-dimensional coordinates of the key points of the human body detected by the cabin smart camera 10 in real time are matched with the three-dimensional coordinates of the air vents.

[0105] Figure 12 The diagram illustrates the mapping relationship between key points and air outlets in a specific embodiment of the present invention, wherein (a) is a schematic diagram. Figure 1 (b) is for illustration Figure 2 .exist Figure 12 In the diagram shown, taking the air vent on the chair back as an example, key human body points are matched with the air vent on the xz plane. If the x-coordinate and z-coordinate values ​​of two adjacent key human body points fall within the coordinate range of the corresponding coordinate axes of certain air vents (this is the mapping relationship between key points and air vents), then the corresponding air vent changes from a closed state to an open state. When the in-cabin smart camera 10 identifies and opens the air vent at the corresponding position on the seat, the air conditioning air will be concentrated on the opened vents, while the closed vents will not emit air. In this way, the airflow is more concentrated, and the cooling effect is better. Figure 12 In the diagram, key points of the human body are represented as straight lines parallel to the z-axis. Therefore, the area where the air vent opens is also a straight line parallel to the z-axis.

[0106] In practice, adjacent key points on the human body may not form a straight line perpendicular to the coordinate axis, such as... Figure 12 As shown, at this time, the air vents corresponding to the key points on the x and z axes are opened, and the opening area of ​​the air vents on the back of the chair is a quadrilateral area.

[0107] exist Figure 12 In the example shown, the key points of the human body are head key point A and body key point B. Figure 12 In (a), key point A corresponds to the air outlet in the 2nd row and 3rd column, and key point B corresponds to the air outlet in the 5th row and 3rd column. Considering the correspondence between key points on the human body and air outlets, the air outlets in the strip area from the 2nd row and 3rd column to the 5th row and 3rd column are all considered to have a human body approaching, therefore the air outlets in this area are opened. Figure 12 In (b), key point A corresponds to the air outlet in the second row and second column, and key point B corresponds to the air outlet in the fifth row and fifth column. Considering the correspondence between key points on the human body and air outlets, the air outlets in the rectangular area from the second row and second column to the fifth row and fifth column are all considered to be approached by a human body, so the air outlets in this rectangular area are opened.

[0108] In the solution of this invention, intelligent cooling can be performed based on human posture, intelligent cooling can be performed based on different human body parts, and air outlet status decisions can be made based on multi-sensor fusion data. Thus, based on the key human body points detected by the cabin intelligent camera, the opening and closing of the air outlets of the corresponding aircraft air-conditioned seats can be controlled to achieve precise cooling and improve the comfort experience of passengers.

[0109] In some embodiments, step S220 combines the temperature parameters of the air-conditioned seat, the pressure parameters of the air-conditioned seat, and the mapping relationship between the actual human body key points on the air-conditioned seat and the two or more seat air vents to control the opening and closing of at least one of the two or more seat air vents. See the following exemplary description for details.

[0110] The following is combined Figure 4 The schematic diagram shown is a flowchart of an embodiment of the method of the present invention, which combines the temperature parameters, pressure parameters and key points of the actual human body to control the opening and closing of at least one air outlet of the air-conditioned seat. It further illustrates the specific process of controlling the opening and closing of at least one air outlet of the air-conditioned seat in step S220 by combining the temperature parameters, pressure parameters and key points of the actual human body, including steps S410 to S440.

[0111] Step S410: For at least one of the two or more seat air vents, determine the decision coefficient of the temperature parameter of the air-conditioned seat, denoted as the temperature decision coefficient of the air-conditioned seat; and determine the confidence level of the actual human key point on the air-conditioned seat, denoted as the key point confidence level of the air-conditioned seat.

[0112] Step S420: Determine whether the temperature parameter of the air-conditioned seat is greater than a preset temperature threshold.

[0113] Step S430: If it is determined that the temperature parameter of the air-conditioned seat is greater than the preset temperature threshold, then according to the temperature decision coefficient of the air-conditioned seat, control the opening and closing of at least one of the two or more seat air outlets.

[0114] Step S440: If the temperature parameter of the air-conditioned seat is less than or equal to a preset temperature threshold, then based on the confidence level of the key points of the air-conditioned seat, combined with the pressure parameters of the air-conditioned seat, and the mapping relationship between the actual human body key points on the air-conditioned seat and the two or more seat air vents, control the opening and closing of at least one of the two or more seat air vents.

[0115] Take the air-conditioned seats on an airplane as an example, such as Figure 9 As shown, the flow chart of the aircraft air-conditioned seat control method based on key points of human body parts also includes:

[0116] Step S30: Multi-source data fusion of visual data, temperature control sensing data, and piezoresistive sensing data.

[0117] It should be noted that in this embodiment, the temperature sensor 5 and the piezoresistive sensor 6 of the aircraft air-conditioned seat output regional data on the aircraft air-conditioned seat. This regional data will correspond to the air vents on the seat. In other words, each air vent of the aircraft air-conditioned seat corresponds to the temperature and pressure data within a certain range near the air vent. And all the air vents of the aircraft air-conditioned seat contain the overall temperature and pressure parameters of the aircraft air-conditioned seat.

[0118] As can be seen from step S20, the data detected by the in-cabin smart camera 10 on the aircraft air-conditioned seat regarding key human body points also has a mapping relationship with the air vents of the aircraft seat. Therefore, as... Figure 13 As shown, a single air vent of an aircraft air-conditioned seat corresponds to visual data, temperature control sensor data, and piezoresistive sensor data within a certain range near the same air vent, which lays the foundation for the feasibility of multi-source data fusion. Figure 13 This is a schematic diagram showing the correspondence between visual, temperature control, and piezoresistive sensing data for a single air outlet, provided as a specific embodiment of the present invention.

[0119] In one embodiment, step S30 specifically includes the following steps:

[0120] Step S301: Detect the temperature data of each air outlet using a temperature sensor and the pressure data of each air outlet using a piezoresistive sensor.

[0121] The system employs a temperature sensor mounted on the surface of the aircraft's air-conditioned seat to detect the overall seat temperature distribution. Based on this correlation, the temperature distribution, maximum temperature, and minimum temperature within each air vent area are determined. Similarly, a piezoresistive sensor mounted on the surface of the aircraft's air-conditioned seat detects the overall seat pressure distribution. Based on this correlation, the maximum pressure value within each air vent area is determined. The temperature and pressure sensors can be those found in relevant design solutions.

[0122] Step S302: Decision is made based on the temperature data of the air outlet to determine whether the air outlet should be opened.

[0123] The temperature data of the air outlet is used as one of the indicators for deciding whether to vent air. Taking the cooling mode of an aircraft air-conditioned seat as an example, if a temperature threshold is set, when the temperature value t of the air outlet at a certain moment is greater than or equal to the temperature threshold, the temperature decision coefficient is 1; otherwise, the temperature decision coefficient is 0. The above process can be represented by the following equation (6-1):

[0124]

[0125] Among them, T temp This is a temperature threshold, which can be set using a big data model within the relevant scheme. The significance of the temperature threshold is to define the temperature range for human comfort. If the temperature t is greater than this temperature threshold, then the human body temperature is considered to be too high.temp This is the temperature decision coefficient, which will be used in conjunction with decision coefficients from other data to make a judgment.

[0126] Setting temperature thresholds using big data models can be done following this process:

[0127] Step S3021, Data Collection: Collect a large amount of temperature setting data in the cabin for different types of passengers (such as gender, age, and other control factors) under different flight conditions.

[0128] Step S3022: Analyze human comfort: Determine the temperature range for human comfort using a thermal comfort model (common thermal comfort models include PMV (Predicted Average Votes) and PPD (Predicted Percentage of Dissatisfaction) models) (existing data shows that the comfortable temperature is between 23-27 degrees Celsius).

[0129] Step S3023, Big Data Model: Using historical and real-time data, a predictive model is established by training models such as regression models and machine learning models to identify the temperatures at which passengers feel comfortable.

[0130] Step S3024: Determine the threshold: Based on the model results, select a temperature value as the threshold. When the air outlet temperature reaches this value, the air conditioning system will adjust the settings.

[0131] Step S3025, Testing and Adjustment: Test the effectiveness of the threshold in actual application and adjust it according to passenger feedback (e.g., passengers adjust the temperature in real time) to ensure passenger comfort.

[0132] It should be noted that if the aircraft air-conditioned seats operate in a heating mode, the temperature decision coefficient is as follows:

[0133]

[0134] In this invention, the shortcomings of temperature control sensing and piezoresistive sensing in detecting human posture in related solutions are avoided. By using visual data detected by a cabin smart camera and relying on the confidence threshold of the detection algorithm for key human points, a mapping relationship is established between the detected key human points and the corresponding air vents of the aircraft air-conditioned seats. A multi-source data fusion scheme of visual data, temperature control sensing data and piezoresistive sensing data is proposed to achieve accurate and dynamic detection of human posture in aircraft seats. This enables the aircraft seats to deliver air to precise parts of the human body based on human posture, thereby improving the comfort experience of passengers.

[0135] In some implementations, the specific process of controlling the opening and closing of at least one of the two or more air outlets in step S440 is based on the confidence level of the key points of the air-conditioned seat, combined with the pressure parameters of the air-conditioned seat and the mapping relationship between the actual human body key points on the air-conditioned seat and the two or more air outlets of the seat. See the following exemplary description.

[0136] The following is combined Figure 5 The schematic diagram of an embodiment of the method of the present invention, which combines the pressure parameters of the air-conditioned seat and the mapping relationship between actual human body key points and two or more seat air vents, further illustrates the specific process of controlling the opening and closing of at least one seat air vent in step S440, which combines the pressure parameters of the air-conditioned seat and the mapping relationship between actual human body key points and two or more seat air vents, including steps S510 to S570.

[0137] Step S510: For at least one of the two or more seat air vents, determine the decision coefficient of the actual human body key point on the air-conditioned seat based on the mapping relationship between the actual human body key point on the air-conditioned seat and the two or more seat air vents, and record it as the key point decision coefficient of the air-conditioned seat; and determine the decision coefficient of the pressure parameter of the air-conditioned seat, and record it as the pressure decision coefficient of the air-conditioned seat.

[0138] Step S520: Determine whether the confidence level of the key points of the air-conditioned seat is greater than a preset first confidence threshold.

[0139] Step S530: If it is determined that the confidence level of the key point of the air-conditioned seat is greater than the preset first confidence level threshold, then the opening and closing of at least one of the two or more air outlets of the air-conditioned seat is controlled according to the decision coefficient of the key point of the air-conditioned seat.

[0140] Step S540: If it is determined that the confidence level of the key point of the air-conditioned seat is less than or equal to the preset first confidence threshold, then it is determined whether the pressure parameter of the air-conditioned seat is greater than the preset pressure threshold.

[0141] Step S550: If it is determined that the pressure parameter of the air-conditioned seat is greater than the preset pressure threshold, then determine whether the confidence level of the key point of the air-conditioned seat is greater than the preset second confidence threshold; the preset first confidence threshold is greater than the preset second confidence threshold.

[0142] Step S560: If it is determined that the confidence level of the key point of the air-conditioned seat is greater than the preset second confidence level threshold, then the opening and closing of at least one of the two or more air outlets of the air-conditioned seat is controlled according to the key point decision coefficient and the pressure decision coefficient of the air-conditioned seat.

[0143] Step S570: If it is determined that the confidence level of the key point of the air-conditioned seat is less than or equal to the preset second confidence level threshold, then according to the pressure decision coefficient of the air-conditioned seat, control the opening and closing of at least one of the two or more seat air outlets.

[0144] Take the air-conditioned seats on an airplane as an example, such as Figure 9 As shown, the flow chart of the aircraft air-conditioned seat control method based on key points of human body parts also includes:

[0145] Step S303: Make a decision based on the visual data of the air outlet to determine whether the air outlet is open.

[0146] Visual data of the air outlet is used as one of the indicators for deciding whether air should be discharged from the outlet. According to formula (1), the visual data includes the coordinate information of all key points and the confidence level. n Confidence score measures the degree of confidence an algorithm has in its detection results, evaluating the reliability of those results. Therefore, the confidence score of key points is used as a screening metric for visual data decision-making. The formula for calculating the visual decision coefficient is as follows:

[0147]

[0148] Among them, T vision_t As a high confidence threshold, if the confidence level of a certain key point is... n When the value exceeds this threshold, the obtained visual data is considered to have high reliability; T vision_f As a low confidence threshold, if the confidence level of a certain key point is... n If the confidence threshold is lower than this threshold, the obtained visual data is considered to have low reliability. The confidence threshold can be set using existing big data models or empirical values ​​from existing visual-related papers (generally set to 0.6 and 0.3). The higher the confidence threshold, the greater the limitation on detection accuracy. vision This is the visual decision coefficient, which will be combined with the decision coefficients of other data to make a judgment.

[0149] Step S304: Decision-making based on the pressure data of the air outlet to determine whether the air outlet should be opened.

[0150] The pressure data from the air outlet is used as one of the indicators for deciding whether the outlet should open. A pressure threshold is set, and a pressure decision coefficient is output based on different detected pressure data and visual data. Visual data is incorporated into the pressure data decision coefficient calculation because, due to special circumstances such as visual obstruction, when the visual data has low confidence, the pressure data is primarily used to determine whether the air outlet is open. Furthermore, compared to pressure data, visual data has a faster transmission rate; that is, the confidence information of key points is obtained first and then incorporated into the pressure data decision coefficient. Taking all these considerations into account, the formula for calculating the pressure decision coefficient is as follows:

[0151]

[0152] Among them, T press This is a pressure threshold, which can be set using existing big data models. press This is the stress decision coefficient, which will be used in conjunction with decision coefficients from other data to make a judgment.

[0153] Step S305: Integrate the decision coefficients of temperature, vision, and pressure to make a decision on whether to open the air outlet.

[0154] Propose the decision coefficient I judge This coefficient takes into account temperature, visual, and pressure data, and its expression is as follows:

[0155] I judge =I temp +I vision +I press (9);

[0156]

[0157] Here, "Open" indicates that the air outlet is currently open, and "Close" indicates that the air outlet is currently closed. For example... Figure 12 As shown, the fusion of temperature, visual, and pressure data represents a fusion mode with three branches: the first branch and the second branch. The first branch is a fusion mode of camera-visual information, the second branch is a fusion mode of piezoresistive sensor-pressure information, and the third branch is a fusion mode of temperature sensor-temperature information. In other words, temperature, visual, and pressure data are simultaneously derived from data from three sensors.

[0158] Figure 15 This is a schematic diagram of the state flow of the air outlet provided in a specific embodiment of the present invention. Combining formulas (6) to (10), the state flow diagram of the air outlet is as follows: Figure 15As shown, the decision-making model for air vent status can be understood as follows: temperature is a physical parameter that passengers can intuitively perceive. Therefore, in cooling mode, when the temperature exceeds the set temperature threshold, the corresponding air vent should be activated for cooling. In heating mode, when the temperature is below the set temperature threshold, the corresponding air vent should be activated for heating. In other words, temperature data has a higher priority than pressure data and visual data at the decision-making level.

[0159] In the pressure decision coefficient and visual decision coefficient, if the visual data of the air outlet has high confidence (corresponding to the high confidence threshold), the visual data is used as the basis for determining the air outlet's state. If the visual data of the air outlet has low confidence (corresponding to the interval between the high and low confidence thresholds), both visual data and pressure data are used as the basis for determining the air outlet's state. If the visual data of the air outlet has extremely low confidence (corresponding to the low confidence threshold), then the pressure data is used as the basis for determining the air outlet's state.

[0160] In summary, the air outlet decision model obtained by fusing multi-source data, including visual data, temperature control sensor data, and piezoresistive sensor data, is applied to all independent air outlets of the aircraft air-conditioned seats to control the opening and closing of the air outlets. Figure 14 This is a schematic diagram illustrating the dynamic adjustment of air vents according to changes in human posture, provided in a specific embodiment of the present invention. When the human posture changes (e.g., from sitting upright to leaning back or turning to the side), different air vents adjust their opening state according to a decision coefficient (e.g., ...). Figure 14 As shown in the figure, it can improve human comfort in different postures.

[0161] In some embodiments, the air-conditioned seat control method of the present invention further includes: if an opening / closing command is received from a user for any one of the two or more seat air vents, then the opening / closing of at least one of the two or more seat air vents is controlled according to the opening / closing command sent by the user.

[0162] exist Figure 8 In the example shown, a smart operating terminal 4 is installed on the seat armrest 2, which allows the user to quickly select the switch of the air vent area and manually adjust the parts that need to be cooled.

[0163] This invention proposes a user-controlled, customized air vent opening solution. Through a smart air-conditioned seat and air conditioner (such as a smart operating terminal 4) installed on the aircraft's air-conditioned seat, users can quickly select the on / off state of the air vent area and manually adjust the parts requiring cooling. This solution meets the personalized comfort needs of passengers: different users may have different health needs and comfort customization requirements. The air-conditioned seat and air conditioner (such as the smart operating terminal 4) in this invention allow passengers to manually select specific parts of their body to be cooled. Passengers can also manually adjust the parts requiring cooling.

[0164] In some embodiments, the air-conditioned seat control method of the present invention further includes: if a health requirement parameter sent by a user is received, then controlling the opening and closing of at least one of the two or more seat air vents according to the health requirement parameter; the health requirement parameter includes at least one of physical health parameters and disease parameters.

[0165] For example, for passengers who require special protection for certain critical areas (such as knees, joints, and spine), the aircraft air conditioning seat system can intelligently limit the number of air vents in the corresponding areas. Passengers can input their physical condition and medical information into the control of the air conditioning seat and air conditioning system. The control system of the aircraft air conditioning seat can generate corresponding air cooling solutions through big data modules, providing a personalized and intelligent air conditioning experience for each passenger.

[0166] Take the air-conditioned seats on an airplane as an example, such as Figure 9 As shown, the flow chart of the aircraft air-conditioned seat control method based on key points of human body parts also includes:

[0167] Step S40: User intelligent control and customized air outlet opening solution.

[0168] The intelligent air conditioning system installed on the aircraft's air-conditioned seats allows users to quickly select the on / off state of the air vent areas and manually adjust the areas requiring cooling. Different users may have different health needs and comfort levels, so the air vents can be configured into several vent bands based on body parts and integrated with the control module to meet this functional requirement.

[0169] like Figure 16 As shown, for example, for passengers who need special protection for certain critical parts (such as knees, joints, and spine), the aircraft air conditioning seat system can intelligently limit the number of air vents in the corresponding parts. Passengers can input their physical condition and medical information into the control of the air conditioning seat and air conditioning system. The control system of the aircraft air conditioning seat can generate corresponding air cooling solutions through big data modules, providing a personalized and intelligent air cooling experience for each passenger. Figure 16This is a schematic diagram illustrating the state of a user-intelligent control and customized air outlet opening scheme provided in a specific embodiment of the present invention.

[0170] In this invention, firstly, by using a smart camera and the aforementioned mapping relationship between the camera and the air vent, the mapping relationship between key points on the human body and the air vent on the seat can be obtained. Key points on the human body indicate corresponding parts of the body; for example, a key point on the head indicates the current position is the head. Secondly, before intelligent air venting, disease information and data related to corresponding body parts (e.g., knee arthritis corresponds to the knee) are collected, and machine learning algorithms are used to build a model of the body condition, disease information, and body parts. Then, in practical application, the passenger inputs their body condition and disease information, and the model outputs the corresponding body parts for the disease. These body parts actually correspond to key points on the human body, and based on the mapping relationship between these key points and the air vent, the air vents corresponding to these body parts are closed.

[0171] In some embodiments, the air-conditioned seat control method of the present invention further includes a process for reminding users to sit for extended periods.

[0172] The following is combined Figure 6 The schematic diagram shown is a flowchart of an embodiment of the sedentary reminder method of the present invention, which further illustrates the specific process of the sedentary reminder, including steps S610 to S620.

[0173] Step S610: Obtain the time the user sits on the air-conditioned seat, and / or obtain the time the user maintains the same human posture on the air-conditioned seat.

[0174] Step S620: If the user sits on the air-conditioned seat for a longer period of time than a preset first time threshold, and / or if the user maintains the same human posture on the air-conditioned seat for a longer period of time than a preset second time threshold, a sedentary reminder message is initiated, and at the same time, the opening of at least one of the two or more seat air vents is controlled.

[0175] like Figure 14 As shown, if a passenger maintains the same posture for too long, the passenger can be reminded to adjust their posture appropriately.

[0176] Take the air-conditioned seats on an airplane as an example, such as Figure 9 As shown, the flow chart of the aircraft air-conditioned seat control method based on key points of human body parts also includes:

[0177] Step S50: Solution to the problem of passengers sitting for long periods of time in aircraft air-conditioned seats.

[0178] When passengers sit in airplane seats, prolonged sitting can lead to a series of physiological fatigue reactions, including muscle tension, soreness, and impaired blood circulation. This embodiment proposes solutions to the problem of prolonged sitting.

[0179] Sedentary behavior detection: Temperature sensors can monitor temperature changes in different areas in real time, especially the buttocks, thighs, and back—areas that come into contact with the air-conditioned seats. These areas are prone to temperature increases when sitting for extended periods. Cabin cameras detect key points of human posture; if these key points do not show significant changes over a period of time, it can also be determined that the passenger has been sitting for a long time.

[0180] Partitioned cooling optimization: such as Figure 17 As shown, the aircraft's air-conditioned seats can intelligently and selectively open the air vents in areas where people sit for extended periods. For example, when sitting for long periods, the buttocks and thighs are the main pressure-bearing areas, and the system can prioritize opening the air vents in these areas while closing the air vents in other areas to ensure that airflow is concentrated where it is most needed. Figure 17 This is a schematic diagram of the partitioned cooling air outlet state provided for a specific embodiment of the present invention.

[0181] Regular airflow circulation: such as Figure 18 As shown, in addition to preventing heat buildup from prolonged sitting, aircraft air-conditioned seats can be designed to periodically activate certain air vents, even if passengers do not directly trigger them. This intermittent cooling method keeps airflow flowing and prevents localized temperature increases. For example, they could automatically turn on every 30 minutes for short-term cooling to prevent heat buildup in areas that have not been used for extended periods. Figure 18 This is a schematic diagram of a periodic airflow circulation state provided for a specific embodiment of the present invention.

[0182] Active adjustment reminders: such as Figure 19 As shown, the system can remind users to get up briefly by monitoring sedentary behavior, and at the same time open the air vents to reduce the temperature in areas with concentrated pressure. Figure 19 This is a schematic diagram of the active adjustment reminder state provided for a specific embodiment of the present invention.

[0183] It should be understood that the sequence number of each step in the above embodiments does not imply the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present invention.

[0184] This invention proposes a control scheme for an air-conditioned seat based on key points of the human body, adaptable to aircraft air conditioning systems, such as an aircraft air-conditioned seat control scheme based on key points of the human body. In this invention, an internal air duct and air outlet are added to the seat. Similarly, this invention's control scheme for an air-conditioned seat based on key points of the human body is also adaptable to vehicles equipped with integrated air conditioning systems, such as car and ship air-conditioned seats. For example, a car air-conditioned seat can also have an air duct and air outlet with the same structure as in this invention, and the car's air conditioning system blows air along the air duct; a smart camera can be installed above the windshield or on the roof of the car to enable the car seat to deliver air to precise parts of the human body based on the user's posture. As another example, in a small ship equipped with integrated air conditioning, the ship air-conditioned seat also has an air duct and air outlet, and a smart camera is installed on the roof of the cabin, which can also achieve the same function of delivering air to precise parts of the human body based on the user's posture.

[0185] The technical solution of this embodiment involves installing air ducts inside air-conditioned seats (such as those in vehicles), and installing air vents on the seat cushion, backrest, and lower part of the seat. The air ducts connect the air conditioning vents to the seat vents, and there are two or more seat vents, each of which can be individually controlled for opening and closing. A visual acquisition system (such as a smart camera) is installed in the environment where the air-conditioned seat is located, and a temperature acquisition system (such as a temperature sensor) and a pressure acquisition system (such as a pressure sensor) are installed on the air-conditioned seat. This allows for control of the air-conditioned seat in various situations. In this case, visual parameters detected by the visual acquisition system, temperature parameters detected by the temperature acquisition system, and pressure parameters detected by the pressure acquisition system are acquired. Based on preset human body key points, and combined with the visual parameters, temperature parameters, and pressure parameters, the opening and closing of the seat air vents are controlled. Thus, by based on the preset mapping relationship between human body key points and seat air vents, and combined with the temperature parameters and pressure parameters of the air-conditioned seat, the opening and closing of at least one of the two or more seat air vents is controlled, thereby improving the comfort experience of using the air-conditioned seat.

[0186] According to an embodiment of the present invention, a control device for an air-conditioned seat corresponding to a control method for an air-conditioned seat is also provided. See also Figure 7 The diagram shows a structural schematic of an embodiment of the device of the present invention. This air-conditioned seat control device is applied to an air conditioning control system having an air-conditioned seat. The air-conditioned seat has an air duct and a seat air outlet. The air duct guides air from the air conditioning outlet of the environment where the air-conditioned seat is located to the seat air outlet; the number of seat air outlets is two or more. In the solution of the present invention, as... Figure 7As shown, the control device for the air-conditioned seat includes: an acquisition unit 100 and a control unit 200.

[0187] The acquisition unit 100 is configured to acquire visual parameters, temperature parameters, and pressure parameters of the air-conditioned seat when control of the air-conditioned seat is required. The specific functions and processing of the acquisition unit 100 are described in step S110. For example, a visual acquisition system (such as a smart camera) is set up in the environment where the air-conditioned seat is located, and a temperature acquisition system (such as a temperature sensor) and a pressure acquisition system (such as a pressure sensor) are set up on the air-conditioned seat; when control of the air-conditioned seat is required, the visual parameters detected by the visual acquisition system, the temperature parameters detected by the temperature acquisition system, and the pressure parameters detected by the pressure acquisition system are acquired.

[0188] The control unit 200 is configured to control the opening and closing of at least one of two or more air vents on the air-conditioned seat based on preset human body key points, combined with the visual parameters, temperature parameters, and pressure parameters of the air-conditioned seat. This is achieved by controlling the opening and closing of at least one air vent based on the mapping relationship between preset human body key points and air vents, combined with the temperature and pressure parameters of the air-conditioned seat, thereby improving the comfort experience of using the air-conditioned seat. The preset human body key points are a set of key points representing preset human postures and / or preset human body parts. For the specific functions and processing of this control unit 200, please refer to step S120.

[0189] The present invention proposes a multi-source data fusion method that integrates visual data, temperature control sensing data, and piezoresistive sensing data. Based on the environment of the air-conditioned seat (such as the actual different environments inside an aircraft cabin), the method combines multiple sensors to make decisions on the posture of the human body on the air-conditioned seat (such as an aircraft air-conditioned seat), and comprehensively judges whether the air outlet is venting air, thereby achieving precise temperature control and improving the comfort experience of the human body when using the air-conditioned seat.

[0190] In some embodiments, two or more of the aforementioned seat air vents are distributed within the human temperature sensing area of ​​the air-conditioned seat; the human temperature sensing area of ​​the air-conditioned seat includes at least one of: the seat cushion area, the backrest area, and the lower part of the seat cushion area; wherein, the human temperature sensing area of ​​the air-conditioned seat refers to the area of ​​the air-conditioned seat capable of regulating human temperature sensation; for example, two or more of the aforementioned seat air vents are distributed on the seat cushion, backrest, and lower part of the air-conditioned seat. A visual acquisition system is installed in the environment where the air-conditioned seat is located, and a temperature acquisition system and a pressure acquisition system are installed at at least some of the two or more of the aforementioned seat air vents on the air-conditioned seat.

[0191] The acquisition unit 100 acquires visual parameters of the air-conditioned seat, acquires temperature parameters of the air-conditioned seat, and acquires pressure parameters of the air-conditioned seat. Specifically, the acquisition unit 100 is further configured to acquire visual parameters of the air-conditioned seat detected by the visual acquisition system, acquire temperature parameters of the air-conditioned seat detected by the temperature acquisition system, and acquire pressure parameters of the air-conditioned seat detected by the pressure acquisition system.

[0192] Taking the air-conditioned seat on an aircraft as an example, for a description of the structure of the air-conditioned seat, please refer to [link / reference needed]. Figure 8 The example shown. Figure 8 The diagram illustrates the structure of an aircraft air-conditioned seat according to a specific embodiment of the present invention, wherein (a) is a side view of the aircraft air-conditioned seat, (b) is a partial structural diagram of the side view of the aircraft air-conditioned seat, and (c) is a partial structural diagram of the front view of the aircraft air-conditioned seat. Compared to related solutions, the aircraft seat structure of the present invention adds an internal air duct and an air outlet. Figure 8 As shown, the aircraft air-conditioned seat includes an air outlet 1, a seat armrest 2, air conditioning heat dissipation material 3, an intelligent operation terminal 4, a temperature sensor 5, a piezoresistive sensor 6, an aircraft air-conditioned seat control system 7, an air inlet from the aircraft air conditioner to the aircraft air-conditioned seat 8, a circuit connection port for the aircraft air-conditioned seat control system 9, and an in-cabin intelligent camera 10.

[0193] exist Figure 8In the example shown, air vents 1 are provided on the seat cushion, backrest, and underside of the aircraft air-conditioned seat. Each independently operable air vent 1 passes through a temperature sensor 5 and a piezoresistive sensor 6; that is, the temperature sensor 5 and piezoresistive sensor 6 are arranged around the air vent 1. Air conditioning heat dissipation material 3 is located on the side opposite to the side with the air vent 1 in the seat cushion, backrest, and underside of the air-conditioned seat; that is, air conditioning heat dissipation material 3 is located on the side away from the air vent 1. The on / off state of the air vent 1 is adjusted via the aircraft air-conditioned seat control system 7. The air inlet 8 of the aircraft air conditioning system to the aircraft air-conditioned seat is generally ducted.

[0194] It should be noted that the cabin camera 10 and the cabin air conditioning system are usually separate subsystems, but in related applications, aircraft (such as the Airbus A350) are increasingly inclined to integrate these systems into a unified control system to achieve higher collaborative efficiency and intelligent management. System integration of the cabin camera system and the air conditioning system lays the foundation for the feasibility of the present invention.

[0195] In this invention, precise cooling is achieved through an aircraft air-conditioned seat: This addresses the shortcomings of generalized cooling systems in existing aircraft air conditioning solutions regarding individual passenger comfort. By detecting key points in the air vents corresponding to specific body parts, precise cooling is achieved for those specific areas. It also solves the temperature problem associated with prolonged sitting: During long flights, passengers often remain seated, leading to heat buildup in certain areas of the body (such as the back and buttocks). Especially on long-haul flights, this heat buildup can cause discomfort, fatigue, and irritability. The air vents 1 in the aircraft air-conditioned seat not only deliver cool air but also provide heat dissipation and ventilation, effectively removing heat from specific areas of the passenger's body and preventing discomfort caused by heat buildup. Furthermore, good ventilation improves seat breathability, reduces sweat buildup, and enhances the overall riding experience.

[0196] In some embodiments, the control unit 200, based on preset human body key points and combined with the visual parameters, temperature parameters, and pressure parameters of the air-conditioned seat, controls the opening and closing of at least one of the two or more seat air vents, including:

[0197] The control unit 200 is further configured to determine, based on preset human body key points and according to the visual parameters of the air-conditioned seat, the mapping relationship between actual human body key points on the air-conditioned seat and two or more seat air vents; wherein, the actual human body key points are a set of key points used to characterize the actual posture of the human body and / or key points of actual human body parts. The specific functions and processing of this control unit 200 are further described in step S210.

[0198] The control unit 200 is further configured to control the opening and closing of at least one of the two or more air vents by combining the temperature parameters of the air-conditioned seat, the pressure parameters of the air-conditioned seat, and the mapping relationship between actual human body key points on the air-conditioned seat and the two or more air vents. The specific functions and processing of this control unit 200 are further described in step S220.

[0199] The present invention proposes a control scheme for an air-conditioned seat (such as an aircraft air-conditioned seat) based on key points of human body parts. This aircraft air-conditioned seat, based on key points of human body parts, combines seat sensors, an in-cabin smart camera, and an in-cabin air conditioning system to achieve multi-sensor data fusion and establish a mapping relationship between the detected key points of human body parts and the corresponding air vents of the aircraft air-conditioned seat. Thus, based on the key points of human body parts detected by the cabin smart camera, the opening and closing of the corresponding air vents of the aircraft air-conditioned seat are controlled to achieve precise cooling and improve the passenger comfort experience.

[0200] In some embodiments, when there is no human body on the air-conditioned seat, the visual parameters of the air-conditioned seat are recorded as the seat visual parameters of the air-conditioned seat; when there is a human body on the air-conditioned seat, the visual parameters of the air-conditioned seat are recorded as the human body visual parameters of the air-conditioned seat; the human body visual parameters of the air-conditioned seat include: the detection frame of the actual location of the human body on the air-conditioned seat, and the key points of the human body on the air-conditioned seat.

[0201] The control unit 200, based on preset human body key points and according to the visual parameters of the air-conditioned seat, determines the mapping relationship between the actual human body key points on the air-conditioned seat and two or more of the seat air vents, including:

[0202] The control unit 200 is further configured to determine the position of each of the two or more air vents on the air-conditioned seat based on the seat visual parameters of the air-conditioned seat. The specific functions and processing of this control unit 200 are also described in step S310. For example, based on the seat visual parameters of the air-conditioned seat, the position of each of the two or more air vents on the air-conditioned seat is determined using a pre-trained visual detection model.

[0203] The control unit 200 is further configured to determine the actual human key points of the air-conditioned seat based on preset human key points and the correspondence between the key points of the human body on the air-conditioned seat and the preset human key points in the visual parameters of the air-conditioned seat. The specific functions and processing of this control unit 200 are further described in step S320. For example: based on preset human key points, and according to the human visual parameters of the air-conditioned seat, the actual human key points on the air-conditioned seat are determined using a pre-trained visual detection model. The preset human posture or the posture in the actual human posture includes at least one of the following: a sitting posture, a reclining posture, and a crossed-leg posture; the preset human body part or the part in the actual human body part includes at least one of the following: the head, the chest, the upper limbs, and the lower limbs.

[0204] The control unit 200 is further configured to establish a mapping relationship between the actual human key points on the air-conditioned seat and the two or more seat air vents based on the position of each of the two or more seat air vents on the air-conditioned seat and the correspondence between the actual human key points on the air-conditioned seat. The specific functions and processing of this control unit 200 are further described in step S330.

[0205] Take the air-conditioned seats on an airplane as an example. Figure 9 This is a flowchart illustrating a control method for an aircraft air-conditioned seat based on key points of human body parts, provided as a specific embodiment of the present invention. Taking an air-conditioned seat on an aircraft as an example... Figure 9 As shown, the flow of the control method for aircraft air-conditioned seats based on key points of human body parts includes:

[0206] Step S10: The in-cabin smart camera 10 detects key points of human body parts, and then steps S20 are executed.

[0207] In an embodiment of the present invention, the intelligent camera 10 inside the aircraft cabin acquires real-time images collected inside the cabin to obtain a key point detection map of human body parts. The key point detection map of human body parts includes a detection box at the location of the human body, a set of key points of human body posture, and a set of key points of various parts of the human body.

[0208] The intelligent in-cabin camera 10 can employ a high-resolution, high-frame-rate optical camera to ensure clear and smooth capture of the cabin scene. The lens focal length and angle of view of the intelligent in-cabin camera 10 are selected according to the actual passenger aircraft cabin layout. Simultaneously, a visual detection model is used to process the acquired real-time images. The visual detection model (such as the YOLO-Keypoint series models) is pre-trained on large-scale human pose datasets (such as the COCO dataset, MPII human pose dataset, etc.), and can accurately identify the detection boxes at the location of the human body in the image, the human pose, and the key point sets of various parts of the human body.

[0209] The visual inspection model ultimately processes the keypoint data detected inside the cabin, including: the detected category information (Label). index The length information of the human body detection box along the two axes of the coordinate system and (w x ,w y ), the centroid information of the human detection box along both axes of the coordinate system (c x ,c y ), coordinate information of key points (x) n ,y n ), and the confidence information of this key point Conf n The output format of the visual detection model is shown in formula (1):

[0210] [Label index w x w y c x c y x1 y1 Conf1...x n y n Conf n (1).

[0211] Among them, w x ,w y This refers to the length of the detection box along both axes, specifically the length of the detection box in the x-direction and the length in the y-direction. And c... x ,c y This refers to the coordinate position along the x-axis and y-axis. In the code, subsequent programming is based on the output format of the visual detection model.

[0212] Figure 10 The diagram illustrates key points of human body parts detected by an in-cabin intelligent camera according to a specific embodiment of the present invention. (a) shows key points of human body parts in a young person sitting upright; (b) shows key points of human body parts in a young person leaning back; and (c) shows key points of human body parts in a young person with their legs crossed. Figure 10 As shown, Figure 10This diagram illustrates the detection of key points on human body parts using an in-cabin vision camera and a YOLO vision detection model. It should be noted that... Figure 10 In the diagram, green dots represent the head, blue dots represent the upper limbs, purple dots represent the chest, and orange dots represent the lower limbs. Connecting these dots represents the skeletal structure of the human body. The red frame indicates the detected human body location, and the upper left corner of the frame displays the detected age and current posture. It should be noted that... Figure 10 The results shown are only simplified illustrations. The number and types of key points to be detected can be increased or decreased during training and inference in the YOLO vision detection model, depending on the level of detail required for the human body parts.

[0213] Step S20: The in-cabin smart camera 10 detects the mapping relationship between key human body points and the aircraft seat air vents (such as air vent 1), and then executes step S30. The key human body points here refer to the human posture and key points of various parts of the human body mentioned above.

[0214] In embodiments of the present invention, each air vent of the aircraft seat (e.g., vent 1) is precisely mapped to different parts of the human body. The key points of the human body detected by the in-cabin smart camera 10 are the specific human body parts corresponding to the human body, including the human posture. However, the key points of the human body detected by the in-cabin smart camera 10 are in a pixel coordinate system, which is a two-dimensional coordinate system that represents the position of a point on the image plane. Due to the projection transformation during the camera imaging process, depth information is lost, making it impossible to accurately obtain the position of a certain key point of the human body in the actual cabin. Furthermore, the unit of this coordinate system is pixels, and a pixel is a relative unit without actual physical meaning. Therefore, it is necessary to convert the pixel coordinate system of the in-cabin smart camera 10 into an image coordinate system.

[0215] In one embodiment, step S20 specifically includes the following steps: steps S201 to S203.

[0216] Step S201: Based on the description of the pixel coordinate system, image coordinate system, camera coordinate system and world coordinate system involved in the optical camera imaging process, obtain the transformation relationship from the world coordinate system to the pixel coordinate system, and then execute step S202.

[0217] Step S202: Using Zhang's calibration method and based on the known parameter information of the optical camera, obtain the parameters in the transformation relationship from the world coordinate system to the pixel coordinate system to establish the transformation relationship between the pixel points captured by the cabin intelligent camera 10 and the corresponding real space points in the cabin, and then execute step S203.

[0218] Step S203: Generally, before passengers board the aircraft, the in-cabin smart camera 10 can collect pixel coordinate information of the air vents of the fixed aircraft air-conditioned seats. After passengers board the aircraft, the in-cabin smart camera 10 detects passengers and detects key human body information. Based on the conversion relationship between "pixel points and real points" calculated in step S102, the real coordinate information of the aircraft air-conditioned seat air vents and key human body points is obtained, and then matched according to their real coordinate information.

[0219] For steps S201 to S203, the image information collected by the in-cabin smart camera 10 is in a two-dimensional coordinate system, while the aircraft cabin is in a three-dimensional coordinate system. The mapping relationship between the camera and the three-dimensional spatial points to the two-dimensional pixel plane can be described by the four coordinate systems involved in the optical camera imaging process: pixel coordinate system, image coordinate system, camera coordinate system, and world coordinate system.

[0220] Figure 11 This is a schematic diagram illustrating the transformation process between the in-cabin intelligent camera 10 and the in-cabin spatial coordinate system, provided as a specific embodiment of the present invention. Figure 11 As shown, the world coordinate system represents the three-dimensional coordinate system of the cabin interior space, and the origin and three-dimensional coordinate axes of this coordinate system can be arbitrarily set; the camera coordinate system represents the three-dimensional coordinate system in which the intelligent camera 10 is located, with the camera optical center as the origin, the camera optical axis as the z-axis, and the horizontal and vertical directions of the imaging plane as the x-axis and y-axis; the transformation from the world coordinate system to the camera coordinate system is actually a rigid transformation, which can be expressed by the homogeneous equation as formula (2):

[0221]

[0222] Among them, [x c ,y c ,z c ] T Let [x] be the coordinates of a point in real space in the camera coordinate system. w ,y w ,z w ] T R represents the coordinates of a point in real space in the world coordinate system. R is a 3×3 rotation matrix from the world coordinate system to the camera coordinate system. T is a 3×1 translation vector from the origin of the world coordinate system to the origin of the camera coordinate system.

[0223] Both the image coordinate system and the pixel coordinate system represent two-dimensional coordinate systems on the imaging plane within the camera. The unit of the image coordinate system is millimeters, and the origin is located at the center of the image, that is, at the intersection of the optical axis of the visual sensor and the imaging plane; the pixel coordinate system divides the acquired image into a grid, and each grid is a pixel. The origin of the pixel coordinate system is located at the upper left corner of the image. The transformation relationship between the image coordinate system and the pixel coordinate system is shown in formula (3):

[0224]

[0225] Where, [u,v,1] T Let [x] be the coordinates of a point in real space in the pixel coordinate system. im ,y im ,1] T dx and dy are the coordinates of the real-world point in the image coordinate system. dx and dy are the unit scale transformation factors of the image coordinate system with respect to the x and y axes, respectively. u0 and v0 are the offsets of the origin of the image coordinate system relative to the origin of the pixel coordinate system along the two axes.

[0226] The transformation between the camera coordinate system and the image coordinate system is essentially based on the pinhole imaging principle. The camera captures light rays that enter the camera through a pinhole and are projected in a cone shape onto the imaging plane where the image coordinate system is located. The ideal image coordinate system and the camera coordinate system achieve a similar triangular relationship between the object and the image through pinhole imaging, as shown in formula (4):

[0227]

[0228] Among them, f c This refers to the camera's focal length.

[0229] Combining formulas (1), (2), and (3), we can obtain formula (4). Formula (4) uses a matrix to obtain the transformation relationship from the world coordinate system to the pixel coordinate system, as shown in formula (5). The schematic diagram of this transformation relationship is shown below. Figure 11 As shown.

[0230]

[0231] All parameters in formula (5) can be obtained using Zhang's calibration method and the known parameter information of the in-cabin intelligent camera 10. Therefore, when the in-cabin intelligent camera 10 acquires any point [u,v,1] in the image... T At that time, the corresponding three-dimensional real space point [x] in the indoor space where the air conditioner is located can be obtained. w ,y w ,z w ] T It is worth noting that the u and v coordinates in the images captured by the in-cabin smart camera 10 correspond to x in formula (1). n ,y n .

[0232] In step S203, when the passenger is not boarding, the cabin smart camera 10 will capture the air vents on the aircraft's air-conditioned seats; when the passenger sits down on the air-conditioned seats, the cabin smart camera 10 will capture key points of the human body; the information captured by the cabin smart camera 10 is all pixel information, and according to formula (5) in step S202, all of the above pixel information can be converted into real spatial information. The three-dimensional coordinates of the key points of the human body detected by the cabin smart camera 10 in real time are matched with the three-dimensional coordinates of the air vents.

[0233] Figure 12 The diagram illustrates the mapping relationship between key points and air outlets in a specific embodiment of the present invention, wherein (a) is a schematic diagram. Figure 1 (b) is for illustration Figure 2 .exist Figure 12 In the diagram shown, taking the air vent on the chair back as an example, key human body points are matched with the air vent on the xz plane. If the x-coordinate and z-coordinate values ​​of two adjacent key human body points fall within the coordinate range of the corresponding coordinate axes of certain air vents (this is the mapping relationship between key points and air vents), then the corresponding air vent changes from a closed state to an open state. When the in-cabin smart camera 10 identifies and opens the air vent at the corresponding position on the seat, the air conditioning air will be concentrated on the opened vents, while the closed vents will not emit air. In this way, the airflow is more concentrated, and the cooling effect is better. Figure 12 In the diagram, key points of the human body are represented as straight lines parallel to the z-axis. Therefore, the area where the air vent opens is also a straight line parallel to the z-axis.

[0234] In practice, adjacent key points on the human body may not form a straight line perpendicular to the coordinate axis, such as... Figure 12 As shown, at this time, the air vents corresponding to the key points on the x and z axes are opened, and the opening area of ​​the air vents on the back of the chair is a quadrilateral area.

[0235] exist Figure 12 In the example shown, the key points of the human body are head key point A and body key point B. Figure 12 In (a), key point A corresponds to the air outlet in the 2nd row and 3rd column, and key point B corresponds to the air outlet in the 5th row and 3rd column. Considering the correspondence between key points on the human body and air outlets, the air outlets in the strip area from the 2nd row and 3rd column to the 5th row and 3rd column are all considered to have a human body approaching, therefore the air outlets in this area are opened. Figure 12 In (b), key point A corresponds to the air outlet in the second row and second column, and key point B corresponds to the air outlet in the fifth row and fifth column. Considering the correspondence between key points on the human body and air outlets, the air outlets in the rectangular area from the second row and second column to the fifth row and fifth column are all considered to be approached by a human body, so the air outlets in this rectangular area are opened.

[0236] In the solution of this invention, intelligent cooling can be performed based on human posture, intelligent cooling can be performed based on different human body parts, and air outlet status decisions can be made based on multi-sensor fusion data. Thus, based on the key human body points detected by the cabin intelligent camera, the opening and closing of the air outlets of the corresponding aircraft air-conditioned seats can be controlled to achieve precise cooling and improve the comfort experience of passengers.

[0237] In some embodiments, the control unit 200, in conjunction with the temperature parameters of the air-conditioned seat, the pressure parameters of the air-conditioned seat, and the mapping relationship between actual human body key points on the air-conditioned seat and two or more seat air vents, controls the opening and closing of at least one of the two or more seat air vents, including:

[0238] The control unit 200 is further configured to determine, for at least one of the two or more seat air vents, a decision coefficient for the temperature parameter of the air-conditioned seat, denoted as the temperature decision coefficient of the air-conditioned seat; and to determine the confidence level of the actual human key points on the air-conditioned seat, denoted as the key point confidence level of the air-conditioned seat. The specific functions and processing of this control unit 200 are further described in step S410.

[0239] The control unit 200 is further configured to determine whether the temperature parameter of the air-conditioned seat is greater than a preset temperature threshold. The specific functions and processing of the control unit 200 are further described in step S420.

[0240] The control unit 200 is further configured to, if it is determined that the temperature parameter of the air-conditioned seat is greater than a preset temperature threshold, control the opening and closing of at least one of the two or more seat air vents according to the temperature decision coefficient of the air-conditioned seat. The specific functions and processing of this control unit 200 are further described in step S430.

[0241] The control unit 200 is further configured to, if the temperature parameter of the air-conditioned seat is less than or equal to a preset temperature threshold, control the opening and closing of at least one of the two or more seat air vents based on the key point confidence level of the air-conditioned seat, combined with the pressure parameter of the air-conditioned seat, and the mapping relationship between the actual human body key points on the air-conditioned seat and the two or more seat air vents. The specific functions and processing of this control unit 200 are further described in step S440.

[0242] Take the air-conditioned seats on an airplane as an example, such as Figure 9 As shown, the flow chart of the aircraft air-conditioned seat control method based on key points of human body parts also includes:

[0243] Step S30: Multi-source data fusion of visual data, temperature control sensing data, and piezoresistive sensing data.

[0244] It should be noted that in this embodiment, the temperature sensor 5 and the piezoresistive sensor 6 of the aircraft air-conditioned seat output regional data on the aircraft air-conditioned seat. This regional data will correspond to the air vents on the seat. In other words, each air vent of the aircraft air-conditioned seat corresponds to the temperature and pressure data within a certain range near the air vent. And all the air vents of the aircraft air-conditioned seat contain the overall temperature and pressure parameters of the aircraft air-conditioned seat.

[0245] As can be seen from step S20, the data detected by the in-cabin smart camera 10 on the aircraft air-conditioned seat regarding key human body points also has a mapping relationship with the air vents of the aircraft seat. Therefore, as... Figure 13 As shown, a single air vent of an aircraft air-conditioned seat corresponds to visual data, temperature control sensor data, and piezoresistive sensor data within a certain range near the same air vent, which lays the foundation for the feasibility of multi-source data fusion. Figure 13 This is a schematic diagram showing the correspondence between visual, temperature control, and piezoresistive sensing data for a single air outlet, provided as a specific embodiment of the present invention.

[0246] In one embodiment, step S30 specifically includes the following steps:

[0247] Step S301: Detect the temperature data of each air outlet using a temperature sensor and the pressure data of each air outlet using a piezoresistive sensor.

[0248] The system employs a temperature sensor mounted on the surface of the aircraft's air-conditioned seat to detect the overall seat temperature distribution. Based on this correlation, the temperature distribution, maximum temperature, and minimum temperature within each air vent area are determined. Similarly, a piezoresistive sensor mounted on the surface of the aircraft's air-conditioned seat detects the overall seat pressure distribution. Based on this correlation, the maximum pressure value within each air vent area is determined. The temperature and pressure sensors can be those found in relevant design solutions.

[0249] Step S302: Decision is made based on the temperature data of the air outlet to determine whether the air outlet should be opened.

[0250] The temperature data of the air outlet is used as one of the indicators for deciding whether to vent air. Taking the cooling mode of an aircraft air-conditioned seat as an example, if a temperature threshold is set, when the temperature value t of the air outlet at a certain moment is greater than or equal to the temperature threshold, the temperature decision coefficient is 1; otherwise, the temperature decision coefficient is 0. The above process can be represented by the following equation (6-1):

[0251]

[0252] Among them, T tempThis is a temperature threshold, which can be set using a big data model within the relevant scheme. The significance of the temperature threshold is to define the temperature range for human comfort. If the temperature t is greater than this temperature threshold, then the human body temperature is considered to be too high. temp This is the temperature decision coefficient, which will be used in conjunction with decision coefficients from other data to make a judgment.

[0253] Setting temperature thresholds using big data models can be done following this process:

[0254] Step S3021, Data Collection: Collect a large amount of temperature setting data in the cabin for different types of passengers (such as gender, age, and other control factors) under different flight conditions.

[0255] Step S3022: Analyze human comfort: Determine the temperature range for human comfort using a thermal comfort model (common thermal comfort models include PMV (Predicted Average Votes) and PPD (Predicted Percentage of Dissatisfaction) models) (existing data shows that the comfortable temperature is between 23-27 degrees Celsius).

[0256] Step S3023, Big Data Model: Using historical and real-time data, a predictive model is established by training models such as regression models and machine learning models to identify the temperatures at which passengers feel comfortable.

[0257] Step S3024: Determine the threshold: Based on the model results, select a temperature value as the threshold. When the air outlet temperature reaches this value, the air conditioning system will adjust the settings.

[0258] Step S3025, Testing and Adjustment: Test the effectiveness of the threshold in actual application and adjust it according to passenger feedback (e.g., passengers adjust the temperature in real time) to ensure passenger comfort.

[0259] It should be noted that if the aircraft air-conditioned seats operate in a heating mode, the temperature decision coefficient is as follows:

[0260]

[0261] In this invention, the shortcomings of temperature control sensing and piezoresistive sensing in detecting human posture in related solutions are avoided. By using visual data detected by a cabin smart camera and relying on the confidence threshold of the detection algorithm for key human points, a mapping relationship is established between the detected key human points and the corresponding air vents of the aircraft air-conditioned seats. A multi-source data fusion scheme of visual data, temperature control sensing data and piezoresistive sensing data is proposed to achieve accurate and dynamic detection of human posture in aircraft seats. This enables the aircraft seats to deliver air to precise parts of the human body based on human posture, thereby improving the comfort experience of passengers.

[0262] In some embodiments, the control unit 200, based on the key point confidence of the air-conditioned seat, combined with the pressure parameters of the air-conditioned seat and the mapping relationship between actual human key points on the air-conditioned seat and two or more seat air vents, controls the opening and closing of at least one of the two or more seat air vents, including:

[0263] The control unit 200 is further configured to, for at least one of the two or more seat air vents, determine the decision coefficient of the actual human body key point on the air-conditioned seat, denoted as the key point decision coefficient of the air-conditioned seat, based on the mapping relationship between the actual human body key point on the air-conditioned seat and the two or more seat air vents; and determine the decision coefficient of the pressure parameter of the air-conditioned seat, denoted as the pressure decision coefficient of the air-conditioned seat. The specific functions and processing of this control unit 200 are further described in step S510.

[0264] The control unit 200 is further configured to determine whether the confidence level of the key points of the air-conditioned seat is greater than a preset first confidence threshold. The specific functions and processing of the control unit 200 are further described in step S520.

[0265] The control unit 200 is further configured to, if it is determined that the confidence level of the key point of the air-conditioned seat is greater than a preset first confidence threshold, control the opening and closing of at least one of the two or more seat air vents according to the key point decision coefficient of the air-conditioned seat. The specific functions and processing of this control unit 200 are further described in step S530.

[0266] The control unit 200 is further configured to determine whether the pressure parameter of the air-conditioned seat is greater than a preset pressure threshold if the confidence level of the key point of the air-conditioned seat is less than or equal to a preset first confidence threshold. The specific functions and processing of this control unit 200 are further described in step S540.

[0267] The control unit 200 is further configured to, if it is determined that the pressure parameter of the air-conditioned seat is greater than a preset pressure threshold, determine whether the confidence level of the key point of the air-conditioned seat is greater than a preset second confidence threshold; the preset first confidence threshold is greater than the preset second confidence threshold. The specific functions and processing of this control unit 200 are further described in step S550.

[0268] The control unit 200 is further configured to, if it is determined that the key point confidence of the air-conditioned seat is greater than a preset second confidence threshold, control the opening and closing of at least one of the two or more seat air vents based on the key point decision coefficient and the pressure decision coefficient of the air-conditioned seat. The specific functions and processing of this control unit 200 are further described in step S560.

[0269] The control unit 200 is further configured to, if it is determined that the confidence level of the key point of the air-conditioned seat is less than or equal to a preset second confidence threshold, control the opening and closing of at least one of the two or more seat air vents according to the pressure decision coefficient of the air-conditioned seat. The specific functions and processing of this control unit 200 are further described in step S570.

[0270] Take the air-conditioned seats on an airplane as an example, such as Figure 9 As shown, the flow chart of the aircraft air-conditioned seat control method based on key points of human body parts also includes:

[0271] Step S303: Make a decision based on the visual data of the air outlet to determine whether the air outlet is open.

[0272] Visual data of the air outlet is used as one of the indicators for deciding whether air should be discharged from the outlet. According to formula (1), the visual data includes the coordinate information of all key points and the confidence level. n Confidence score measures the degree of confidence an algorithm has in its detection results, evaluating the reliability of those results. Therefore, the confidence score of key points is used as a screening metric for visual data decision-making. The formula for calculating the visual decision coefficient is as follows:

[0273]

[0274] Among them, T vision_t As a high confidence threshold, if the confidence level of a certain key point is... n When the value exceeds this threshold, the obtained visual data is considered to have high reliability; T vision_f As a low confidence threshold, if the confidence level of a certain key point is... n If the confidence threshold is lower than this threshold, the obtained visual data is considered to have low reliability. The confidence threshold can be set using existing big data models or empirical values ​​from existing visual-related papers (generally set to 0.6 and 0.3). The higher the confidence threshold, the greater the limitation on detection accuracy. vision This is the visual decision coefficient, which will be combined with the decision coefficients of other data to make a judgment.

[0275] Step S304: Decision-making based on the pressure data of the air outlet to determine whether the air outlet should be opened.

[0276] The pressure data from the air outlet is used as one of the indicators for deciding whether the outlet should open. A pressure threshold is set, and a pressure decision coefficient is output based on different detected pressure data and visual data. Visual data is incorporated into the pressure data decision coefficient calculation because, due to special circumstances such as visual obstruction, when the visual data has low confidence, the pressure data is primarily used to determine whether the air outlet is open. Furthermore, compared to pressure data, visual data has a faster transmission rate; that is, the confidence information of key points is obtained first and then incorporated into the pressure data decision coefficient. Taking all these considerations into account, the formula for calculating the pressure decision coefficient is as follows:

[0277]

[0278] Among them, T press This is a pressure threshold, which can be set using existing big data models. press This is the stress decision coefficient, which will be used in conjunction with decision coefficients from other data to make a judgment.

[0279] Step S305: Integrate the decision coefficients of temperature, vision, and pressure to make a decision on whether to open the air outlet.

[0280] Propose the decision coefficient I judge This coefficient takes into account temperature, visual, and pressure data, and its expression is as follows:

[0281] I judge =I temp +I vision +I press (9);

[0282]

[0283] "Open" indicates that the air outlet is currently open, while "Close" indicates that the air outlet is currently closed.

[0284] Figure 15 This is a schematic diagram of the state flow of the air outlet provided in a specific embodiment of the present invention. Combining formulas (6) to (10), the state flow diagram of the air outlet is as follows: Figure 15 As shown, the decision-making model for air vent status can be understood as follows: temperature is a physical parameter that passengers can intuitively perceive. Therefore, in cooling mode, when the temperature exceeds the set temperature threshold, the corresponding air vent should be activated for cooling. In heating mode, when the temperature is below the set temperature threshold, the corresponding air vent should be activated for heating. In other words, temperature data has a higher priority than pressure data and visual data at the decision-making level.

[0285] In the pressure decision coefficient and visual decision coefficient, if the visual data of the air outlet has high confidence (corresponding to the high confidence threshold), the visual data is used as the basis for determining the air outlet's state. If the visual data of the air outlet has low confidence (corresponding to the interval between the high and low confidence thresholds), both visual data and pressure data are used as the basis for determining the air outlet's state. If the visual data of the air outlet has extremely low confidence (corresponding to the low confidence threshold), then the pressure data is used as the basis for determining the air outlet's state.

[0286] In summary, the air outlet decision model obtained by fusing multi-source data, including visual data, temperature control sensor data, and piezoresistive sensor data, is applied to all independent air outlets of the aircraft air-conditioned seats to control the opening and closing of the air outlets. Figure 14 This is a schematic diagram illustrating the dynamic adjustment of air vents according to changes in human posture, provided in a specific embodiment of the present invention. When the human posture changes (e.g., from sitting upright to leaning back or turning to the side), different air vents adjust their opening state according to a decision coefficient (e.g., ...). Figure 14 As shown in the figure, it can improve human comfort in different postures.

[0287] In some embodiments, the control device for the air-conditioned seat according to the present invention further includes: the control unit 200 is further configured to, if it receives an opening / closing command from a user for any one of the two or more seat air vents, control the opening / closing of at least one of the two or more seat air vents according to the opening / closing command sent by the user.

[0288] exist Figure 8 In the example shown, a smart operating terminal 4 is installed on the seat armrest 2, which allows the user to quickly select the switch of the air vent area and manually adjust the parts that need to be cooled.

[0289] This invention proposes a user-controlled, customized air vent opening solution. Through a smart air-conditioned seat and air conditioner (such as a smart operating terminal 4) installed on the aircraft's air-conditioned seat, users can quickly select the on / off state of the air vent area and manually adjust the parts requiring cooling. This solution meets the personalized comfort needs of passengers: different users may have different health needs and comfort customization requirements. The air-conditioned seat and air conditioner (such as the smart operating terminal 4) in this invention allow passengers to manually select specific parts of their body to be cooled. Passengers can also manually adjust the parts requiring cooling.

[0290] In some embodiments, the control device for the air-conditioned seat according to the present invention further includes: the control unit 200 is further configured to, if it receives health demand parameters sent by a user, control the opening and closing of at least one of the two or more seat air vents according to the health demand parameters; the health demand parameters include at least one of physical health parameters and disease parameters.

[0291] For example, for passengers who require special protection for certain critical areas (such as knees, joints, and spine), the aircraft air conditioning seat system can intelligently limit the number of air vents in the corresponding areas. Passengers can input their physical condition and medical information into the control of the air conditioning seat and air conditioning system. The control system of the aircraft air conditioning seat can generate corresponding air cooling solutions through big data modules, providing a personalized and intelligent air conditioning experience for each passenger.

[0292] Take the air-conditioned seats on an airplane as an example, such as Figure 9 As shown, the flow chart of the aircraft air-conditioned seat control method based on key points of human body parts also includes:

[0293] Step S40: User intelligent control and customized air outlet opening solution.

[0294] The intelligent air conditioning system installed on the aircraft's air-conditioned seats allows users to quickly select the on / off state of the air vent areas and manually adjust the areas requiring cooling. Different users may have different health needs and comfort levels, so the air vents can be configured into several vent bands based on body parts and integrated with the control module to meet this functional requirement.

[0295] like Figure 16 As shown, for example, for passengers who need special protection for certain critical parts (such as knees, joints, and spine), the aircraft air conditioning seat system can intelligently limit the number of air vents in the corresponding parts. Passengers can input their physical condition and medical information into the control of the air conditioning seat and air conditioning system. The control system of the aircraft air conditioning seat can generate corresponding air cooling solutions through big data modules, providing a personalized and intelligent air cooling experience for each passenger. Figure 16 This is a schematic diagram illustrating the state of a user-intelligent control and customized air outlet opening scheme provided in a specific embodiment of the present invention.

[0296] In this invention, firstly, by using a smart camera and the aforementioned mapping relationship between the camera and the air vent, the mapping relationship between key points on the human body and the air vent on the seat can be obtained. Key points on the human body indicate corresponding parts of the body; for example, a key point on the head indicates the current position is the head. Secondly, before intelligent air venting, disease information and data related to corresponding body parts (e.g., knee arthritis corresponds to the knee) are collected, and machine learning algorithms are used to build a model of the body condition, disease information, and body parts. Then, in practical application, the passenger inputs their body condition and disease information, and the model outputs the corresponding body parts for the disease. These body parts actually correspond to key points on the human body, and based on the mapping relationship between these key points and the air vent, the air vents corresponding to these body parts are closed.

[0297] In some embodiments, the control device for the air-conditioned seat according to the present invention further includes:

[0298] The acquisition unit 100 is further configured to acquire the time the user sits on the air-conditioned seat, and / or acquire the time the user maintains the same human posture on the air-conditioned seat. The specific functions and processing of the acquisition unit 100 are further described in step S610.

[0299] The control unit 200 is further configured to initiate a sedentary reminder message when the user sits on the air-conditioned seat for a period of time exceeding a preset first time threshold, and / or when the user maintains the same posture on the air-conditioned seat for a period of time exceeding a preset second time threshold, and simultaneously control the opening of at least one of the two or more seat air vents. The specific functions and processing of this control unit 200 are further described in step S620.

[0300] like Figure 14 As shown, if a passenger maintains the same posture for too long, the passenger can be reminded to adjust their posture appropriately.

[0301] Take the air-conditioned seats on an airplane as an example, such as Figure 9 As shown, the flow chart of the aircraft air-conditioned seat control method based on key points of human body parts also includes:

[0302] Step S50: Solution to the problem of passengers sitting for long periods of time in aircraft air-conditioned seats.

[0303] When passengers sit in airplane seats, prolonged sitting can lead to a series of physiological fatigue reactions, including muscle tension, soreness, and impaired blood circulation. This embodiment proposes solutions to the problem of prolonged sitting.

[0304] Sedentary behavior detection: Temperature sensors can monitor temperature changes in different areas in real time, especially the buttocks, thighs, and back—areas that come into contact with the air-conditioned seats. These areas are prone to temperature increases when sitting for extended periods. Cabin cameras detect key points of human posture; if these key points do not show significant changes over a period of time, it can also be determined that the passenger has been sitting for a long time.

[0305] Partitioned cooling optimization: such as Figure 17 As shown, the aircraft's air-conditioned seats can intelligently and selectively open the air vents in areas where people sit for extended periods. For example, when sitting for long periods, the buttocks and thighs are the main pressure-bearing areas, and the system can prioritize opening the air vents in these areas while closing the air vents in other areas to ensure that airflow is concentrated where it is most needed. Figure 17 This is a schematic diagram of the partitioned cooling air outlet state provided for a specific embodiment of the present invention.

[0306] Regular airflow circulation: such as Figure 18 As shown, in addition to preventing heat buildup from prolonged sitting, aircraft air-conditioned seats can be designed to periodically activate certain air vents, even if passengers do not directly trigger them. This intermittent cooling method keeps airflow flowing and prevents localized temperature increases. For example, they could automatically turn on every 30 minutes for short-term cooling to prevent heat buildup in areas that have not been used for extended periods. Figure 18 This is a schematic diagram of a periodic airflow circulation state provided for a specific embodiment of the present invention.

[0307] Active adjustment reminders: such as Figure 19 As shown, the system can remind users to get up briefly by monitoring sedentary behavior, and at the same time open the air vents to reduce the temperature in areas with concentrated pressure. Figure 19 This is a schematic diagram of the active adjustment reminder state provided for a specific embodiment of the present invention.

[0308] It should be understood that the sequence number of each step in the above embodiments does not imply the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present invention.

[0309] This invention proposes a control scheme for an air-conditioned seat based on key points of the human body, adaptable to aircraft air conditioning systems, such as an aircraft air-conditioned seat control scheme based on key points of the human body. In this invention, an internal air duct and air outlet are added to the seat. Similarly, this invention's control scheme for an air-conditioned seat based on key points of the human body is also adaptable to vehicles equipped with integrated air conditioning systems, such as car and ship air-conditioned seats. For example, a car air-conditioned seat can also have an air duct and air outlet with the same structure as in this invention, and the car's air conditioning system blows air along the air duct; a smart camera can be installed above the windshield or on the roof of the car to enable the car seat to deliver air to precise parts of the human body based on the user's posture. As another example, in a small ship equipped with integrated air conditioning, the ship air-conditioned seat also has an air duct and air outlet, and a smart camera is installed on the roof of the cabin, which can also achieve the same function of delivering air to precise parts of the human body based on the user's posture.

[0310] Since the processing and functions implemented by the device in this embodiment are basically the same as the embodiments, principles and examples of the aforementioned methods, any details not covered in the description of this embodiment can be found in the relevant descriptions in the aforementioned embodiments, and will not be repeated here.

[0311] According to an embodiment of the present invention, an air-conditioned seat corresponding to a control device for an air-conditioned seat is also provided. The air-conditioned seat may include the control device for an air-conditioned seat described above.

[0312] Since the processing and functions implemented by the air-conditioned seat in this embodiment are basically the same as the embodiments, principles and examples of the aforementioned device, any details not covered in the description of this embodiment can be found in the relevant descriptions in the aforementioned embodiments, and will not be repeated here.

[0313] According to an embodiment of the present invention, an air conditioner corresponding to a control device for an air-conditioned seat is also provided. This air conditioner may include the control device for the air-conditioned seat described above.

[0314] Since the processing and functions implemented by the air conditioner in this embodiment are basically the same as the embodiments, principles and examples of the aforementioned device, any details not covered in the description of this embodiment can be found in the relevant descriptions in the aforementioned embodiments, and will not be repeated here.

[0315] According to an embodiment of the present invention, a computer program product corresponding to the control method for an air-conditioned seat is also provided, comprising a computer program that, when executed by a processor, implements the steps of the control method for an air-conditioned seat described above.

[0316] Since the processing and functions implemented by the product in this embodiment are basically the same as the embodiments, principles and examples of the aforementioned methods, any details not covered in the description of this embodiment can be found in the relevant descriptions in the aforementioned embodiments, and will not be repeated here.

[0317] According to an embodiment of the present invention, a storage medium corresponding to the control method for an air-conditioned seat is also provided. The storage medium includes a stored program, wherein, when the program is executed, the device where the storage medium is located executes the steps of the control method for the air-conditioned seat described above.

[0318] Since the processing and functions implemented by the storage medium in this embodiment are basically the same as the embodiments, principles and examples of the aforementioned methods, any details not covered in this embodiment can be found in the relevant descriptions in the aforementioned embodiments, and will not be repeated here.

[0319] In summary, it is readily understood by those skilled in the art that, without conflict, the aforementioned advantageous methods can be freely combined and superimposed.

[0320] The above description is merely an 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 the claims of the present invention.

Claims

1. A control method of an air-conditioned seat, characterized by, The air-conditioned seat has air guide pipes and seat air outlets, the air guide pipes are used for guiding air from air outlets of an air conditioner in an environment where the air-conditioned seat is located to the seat air outlets, the number of the seat air outlets is two or more, and a control method of the air-conditioned seat comprises the following steps. Obtain visual parameters of the air-conditioned seat, obtain temperature parameters of the air-conditioned seat, and obtain pressure parameters of the air-conditioned seat. Determine a mapping relationship between actual human body key points on the air-conditioned seat and the two or more seat air outlets based on preset human body key points and the visual parameters of the air-conditioned seat, wherein the actual human body key points are a set of key points for representing actual postures of a human body and / or key points of actual parts of the human body, and the opening and closing of at least one of the two or more seat air outlets are controlled in combination with the temperature parameters of the air-conditioned seat, the pressure parameters of the air-conditioned seat, and the mapping relationship between the actual human body key points on the air-conditioned seat and the two or more seat air outlets, wherein the preset human body key points are a set of key points for representing preset postures of a human body and / or preset parts of the human body. The opening and closing of at least one of the two or more seat air outlets are controlled in combination with the temperature parameters of the air-conditioned seat, the pressure parameters of the air-conditioned seat, and the mapping relationship between the actual human body key points on the air-conditioned seat and the two or more seat air outlets, comprising the following steps. For at least one of the two or more seat air outlets, determine a decision coefficient of the temperature parameters of the air-conditioned seat, denoted as a temperature decision coefficient of the air-conditioned seat, and determine a confidence degree of the actual human body key points on the air-conditioned seat, denoted as a key point confidence degree of the air-conditioned seat. If the temperature parameters of the air-conditioned seat are less than or equal to a preset temperature threshold, the opening and closing of at least one of the two or more seat air outlets are controlled based on the key point confidence degree of the air-conditioned seat in combination with the pressure parameters of the air-conditioned seat and the mapping relationship between the actual human body key points on the air-conditioned seat and the two or more seat air outlets.

2. The control method of the air-conditioned seat according to claim 1, characterized by, The two or more seat air outlets are distributed in a human body temperature sensing area on the air-conditioned seat, the human body temperature sensing area on the air-conditioned seat comprises at least one of a cushion area, a back area, and a lower cushion area of the air-conditioned seat, a visual acquisition system is arranged in an environment where the air-conditioned seat is located, and a temperature acquisition system and a pressure acquisition system are arranged at each of at least part of the seat air outlets on the air-conditioned seat. The visual parameters of the air-conditioned seat are obtained, the temperature parameters of the air-conditioned seat are obtained, and the pressure parameters of the air-conditioned seat are obtained, comprising the following steps. The visual parameters of the air-conditioned seat detected by the visual acquisition system are obtained, the temperature parameters of the air-conditioned seat detected by the temperature acquisition system are obtained, and the pressure parameters of the air-conditioned seat detected by the pressure acquisition system are obtained. 3.The control method of the air-conditioned seat according to claim 1, characterized by, The visual parameter of the air-conditioned seat is recorded as a seat visual parameter of the air-conditioned seat when no human body is on the air-conditioned seat, and the visual parameter of the air-conditioned seat is recorded as a human visual parameter of the air-conditioned seat when a human body is on the air-conditioned seat; The human visual parameter of the air-conditioned seat comprises a detection frame of an actual position of the human body on the air-conditioned seat and a key point of the human body on the air-conditioned seat; Based on a preset human key point, a mapping relationship between the actual human key point on the air-conditioned seat and the two or more seat air outlets is determined according to the visual parameter of the air-conditioned seat, comprising: The position of each of the two or more seat air outlets on the air-conditioned seat is determined according to the seat visual parameter of the air-conditioned seat; Based on the preset human key point, the actual human key point of the air-conditioned seat is determined according to the correspondence between the key point of the human body on the air-conditioned seat and the preset human key point in the visual parameter of the air-conditioned seat; The mapping relationship between the actual human key point on the air-conditioned seat and the two or more seat air outlets is established according to the correspondence between the position of each of the two or more seat air outlets on the air-conditioned seat and the actual human key point on the air-conditioned seat.

4. The control method of the air-conditioned seat according to claim 1, characterized by, In combination with the temperature parameter of the air-conditioned seat, the pressure parameter of the air-conditioned seat, and the mapping relationship between the actual human key point on the air-conditioned seat and the two or more seat air outlets, the opening and closing of at least one of the two or more seat air outlets is controlled, further comprising: It is determined whether the temperature parameter of the air-conditioned seat is greater than a preset temperature threshold value; If it is determined that the temperature parameter of the air-conditioned seat is greater than the preset temperature threshold value, the opening and closing of at least one of the two or more seat air outlets is controlled according to the temperature decision coefficient of the air-conditioned seat.

5. The control method of the air-conditioned seat according to claim 4, characterized by, In combination with the pressure parameter of the air-conditioned seat and the mapping relationship between the actual human key point on the air-conditioned seat and the two or more seat air outlets, the opening and closing of at least one of the two or more seat air outlets is controlled based on the key point confidence of the air-conditioned seat, comprising: For at least one of the two or more seat air outlets, the decision coefficient of the actual human key point on the air-conditioned seat is determined according to the mapping relationship between the actual human key point on the air-conditioned seat and the two or more seat air outlets, which is recorded as the key point decision coefficient of the air-conditioned seat; and the decision coefficient of the pressure parameter of the air-conditioned seat is determined, which is recorded as the pressure decision coefficient of the air-conditioned seat; It is determined whether the key point confidence of the air-conditioned seat is greater than a preset first confidence threshold value; If it is determined that the key point confidence of the air-conditioned seat is greater than the preset first confidence threshold value, the opening and closing of at least one of the two or more seat air outlets is controlled according to the key point decision coefficient of the air-conditioned seat. If it is determined that the key point confidence of the air-conditioned seat is less than or equal to a preset first confidence threshold, it is determined whether the pressure parameter of the air-conditioned seat is greater than a preset pressure threshold; If it is determined that the pressure parameter of the air-conditioned seat is greater than the preset pressure threshold, it is determined whether the key point confidence of the air-conditioned seat is greater than a preset second confidence threshold; the preset first confidence threshold is greater than the preset second confidence threshold; If it is determined that the key point confidence of the air-conditioned seat is greater than the preset second confidence threshold, the opening and closing of at least one of the two or more seat air outlets is controlled according to the key point decision coefficient of the air-conditioned seat and the pressure decision coefficient of the air-conditioned seat; If it is determined that the key point confidence of the air-conditioned seat is less than or equal to the preset second confidence threshold, the opening and closing of at least one of the two or more seat air outlets is controlled according to the pressure decision coefficient of the air-conditioned seat.

6. The control method of the air-conditioned seat according to any one of claims 1 to 5, characterized by, Further comprising: If the opening and closing instruction of any one of the two or more seat air outlets sent by the user is received, the opening and closing of at least one of the two or more seat air outlets is controlled according to the opening and closing instruction sent by the user; And / or, If the health demand parameter sent by the user is received, the opening and closing of at least one of the two or more seat air outlets is controlled according to the health demand parameter; the health demand parameter includes at least one of a physical health parameter and a disease parameter; And / or, The time for which the user sits on the air-conditioned seat is obtained, and / or the time for which the user maintains the same body posture on the air-conditioned seat is obtained; In the case where the time for which the user sits on the air-conditioned seat is greater than a preset first time threshold, and / or in the case where the time for which the user maintains the same body posture on the air-conditioned seat is greater than a preset second time threshold, a sedentary reminder message is initiated, and at least one of the two or more seat air outlets is controlled to be opened.

7. A control device of an air-conditioned seat for controlling the air-conditioned seat using a control method of the air-conditioned seat according to claim 1, characterized by The air-conditioned seat has a wind guide pipe and a seat air outlet, the wind guide pipe is used to guide air from an air conditioner air outlet of an environment where the air-conditioned seat is located to the seat air outlet; the number of the seat air outlets is two or more; and the control device of the air-conditioned seat comprises: An acquisition unit configured to acquire a visual parameter of the air-conditioned seat, acquire a temperature parameter of the air-conditioned seat, and acquire a pressure parameter of the air-conditioned seat; A control unit configured to control the opening and closing of at least one of the two or more seat air outlets based on a preset human body key point, in combination with the visual parameter of the air-conditioned seat, the temperature parameter of the air-conditioned seat, and the pressure parameter of the air-conditioned seat; wherein the preset human body key point is a set of key points for representing a preset posture of a human body and / or key points of a preset part of a human body.

8. An air-conditioned seat, characterized by Comprise: The control device of the air-conditioned seat according to claim 7.

9. An air conditioner characterized by comprising: Comprise: The control device of the air-conditioned seat according to any one of claims 1 to 6, or the air-conditioned seat according to claim 8.

10. A storage medium, characterized by The storage medium includes a stored program, wherein the program, when executed, controls a device in which the storage medium is located to perform the control method of the air-conditioned seat according to any one of claims 1 to 6.

11. A computer program product comprising a computer program, characterized in that, The computer program, when executed by a processor, implements the steps of the control method of the air-conditioned seat according to any one of claims 1 to 6.

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