Intelligent adjusting method, system and equipment for air conditioner, storage medium and product

Abstract

The invention discloses an air conditioner intelligent adjusting method, system and equipment, a storage medium and a product, relates to the technical field of air conditioner intelligent adjusting, and discloses an air conditioner intelligent adjusting method which comprises the steps that an in-vehicle temperature value, a human body temperature value and a temperature difference value between the human body and the in-vehicle temperature value are obtained; according to the in-vehicle temperature value, an in-vehicle temperature distribution model is obtained through an interpolation algorithm, and according to the human body temperature value and the temperature difference value, a thermal comfort model is obtained through calculation through a Fanger's PMV model; obtaining a target temperature set value and a target wind speed according to the in-vehicle temperature distribution model and the thermal comfort model; and according to the target temperature set value and the target wind speed, the temperature in the vehicle is adjusted. According to the method, the model is established for the obtained temperature parameters, intelligent control over the air conditioner is achieved through intelligent calculation according to the model, and compared with the prior art, control over the air conditioner is more accurate, and the optimization capacity is higher.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent air conditioning regulation, and in particular to an intelligent air conditioning regulation method, system, device, storage medium and product. Background Art

[0002] Existing air-conditioning systems in new energy vehicles cannot perceive the temperature distribution and the position of the passengers in real time, and thus cannot perform precise environmental control. They can only perform simple cooling or heating based on the preset temperature, and cannot be intelligently adjusted according to the actual situation of the passengers in the car. This results in high energy consumption of the air-conditioning system and low passenger comfort, leading to a poor user experience.

[0003] The above contents are only used to assist in understanding the technical solution of the present invention and do not constitute an admission that the above contents are prior art. Summary of the invention

[0004] The main purpose of the present invention is to provide an air conditioning intelligent adjustment method, system, device, storage medium and product, aiming to solve the technical problem that intelligent adjustment cannot be performed according to the actual situation of the passengers in the car.

[0005] To achieve the above object, the present invention proposes an air conditioner intelligent adjustment method, the method comprising:

[0006] Obtain the temperature value inside the car, the temperature value of the human body, and the temperature difference between the human body and the inside of the car;

[0007] Obtaining an in-vehicle temperature distribution model through an interpolation algorithm according to the in-vehicle temperature value, and obtaining a thermal comfort model through Fanger's PMV model according to the human body temperature value and the temperature difference value;

[0008] Obtaining a target temperature setting value and a target wind speed according to the in-vehicle temperature distribution model and the thermal comfort model;

[0009] The temperature inside the vehicle is adjusted according to the target temperature setting value and the target wind speed.

[0010] In one embodiment, the step of obtaining the in-vehicle temperature distribution model by using an interpolation algorithm according to the in-vehicle temperature value comprises:

[0011] Filtering and denoising the in-vehicle temperature value, and normalizing the filtered and denoised in-vehicle temperature value to obtain temperature data;

[0012] The temperature data is interpolated by the interpolation algorithm to generate a smooth and accurate in-vehicle temperature distribution model.

[0013] In one embodiment, the step of calculating the thermal comfort model using the Fanger's PMV model according to the human body temperature value and the temperature difference value includes:

[0014] The human body temperature value and the temperature difference value are merged to obtain a human body PMV value;

[0015] The thermal comfort model is obtained by calculating the PMV value of the human body using the Fanger's PMV model.

[0016] In one embodiment, the step of obtaining a target temperature setting value and a target wind speed according to the in-vehicle temperature distribution model and the thermal comfort model includes:

[0017] Obtaining PPD values ​​of various parts in the vehicle according to the vehicle interior temperature distribution model and the thermal comfort model;

[0018] According to the PPD values ​​of various parts in the vehicle, the target temperature setting values ​​and the wind speeds at different locations are determined.

[0019] In one embodiment, after the step of adjusting the temperature inside the vehicle according to the target temperature setting value and the target wind speed, the following steps are included:

[0020] The air-conditioning operation data, the temperature data and the human body PMV value of the passenger are used as historical data;

[0021] Training an optimization model according to the historical data to obtain historical training values;

[0022] When the historical training value reaches a preset training threshold, the air-conditioning intelligent adjustment data is obtained.

[0023] In one embodiment, when the historical training value reaches a preset training threshold, after the step of obtaining the air conditioner intelligent adjustment data, the method further comprises:

[0024] According to the air-conditioning intelligent adjustment data, adaptive adjustment of the entire air-conditioning intelligent system is obtained through adaptive control.

[0025] In addition, to achieve the above-mentioned purpose, the present invention also proposes a vehicle-mounted intelligent air-conditioning system, the vehicle-mounted intelligent air-conditioning system comprising:

[0026] Detection module, data processing module, control module and execution module;

[0027] The detection module is connected to the data processing module; the data processing module is connected to the control module; the control module is connected to the execution module; and the execution module is connected to the air conditioner.

[0028] In addition, to achieve the above-mentioned purpose, the present invention also proposes an intelligent air conditioning adjustment device, which includes: a memory, a processor, and a computer program stored in the memory and executable on the processor, and the computer program is configured to implement the steps of the intelligent air conditioning adjustment method as described above.

[0029] In addition, to achieve the above-mentioned purpose, the present invention also proposes a storage medium, which is a computer-readable storage medium, and a computer program is stored on the storage medium. When the computer program is executed by a processor, the steps of the air conditioning intelligent adjustment method as described above are implemented.

[0030] In addition, to achieve the above-mentioned purpose, the present invention also provides a computer program product, which includes a computer program, and when the computer program is executed by a processor, the steps of the air conditioner intelligent adjustment method as described above are implemented.

[0031] One or more technical solutions proposed in the present invention have at least the following technical effects:

[0032] The present invention obtains the in-car temperature value, the human body temperature value, and the temperature difference value between the human body and the in-car; obtains the in-car temperature distribution model through an interpolation algorithm based on the in-car temperature value, and calculates the thermal comfort model through the Fanger's PMV model based on the human body temperature value and the temperature difference value; obtains the target temperature setting value and the target wind speed based on the in-car temperature distribution model and the thermal comfort model; and adjusts the in-car temperature based on the target temperature setting value and the target wind speed. Since the present invention establishes a model for the obtained temperature parameters and then realizes intelligent control of the air conditioner through intelligent calculation based on the model, compared with the prior art, the present invention has more accurate control of the air conditioner and stronger optimization capability. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the invention and, together with the description, serve to explain the principles of the invention.

[0034] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0035] Figure 1 A schematic diagram of a flow chart of a first embodiment of an air conditioner intelligent adjustment method according to the present invention;

[0036] Figure 2A schematic diagram of a flow chart of a second embodiment of an air conditioner intelligent adjustment method according to the present invention;

[0037] Figure 3 A schematic diagram of a flow chart of a third embodiment of an air conditioner intelligent adjustment method according to the present invention;

[0038] Figure 4 This is a schematic diagram of the module structure of the vehicle-mounted intelligent air-conditioning system according to an embodiment of the present invention;

[0039] Figure 5 Schematic diagram of the device structure of the hardware operating environment involved in the air conditioner intelligent adjustment method in an embodiment of the present invention.

[0040] The purpose, features and advantages of the present invention will be further described with reference to the accompanying drawings in conjunction with the embodiments. DETAILED DESCRIPTION

[0041] It should be understood that the specific embodiments described herein are only used to explain the technical solutions of the present invention and are not used to limit the present invention.

[0042] In order to better understand the technical solution of the present invention, a detailed description will be given below in conjunction with the accompanying drawings and specific implementation methods.

[0043] The main solution of the embodiment of the present invention is: obtaining the in-vehicle temperature value, the human body temperature value and the temperature difference value between the human body and the in-vehicle temperature; obtaining the in-vehicle temperature distribution model through an interpolation algorithm according to the in-vehicle temperature value, and obtaining the thermal comfort model through Fanger's PMV model according to the human body temperature value and the temperature difference value; obtaining the target temperature setting value and the target wind speed according to the in-vehicle temperature distribution model and the thermal comfort model;

[0044] The temperature inside the vehicle is adjusted according to the target temperature setting value and the target wind speed.

[0045] In this embodiment, for ease of description, the following description is made by taking identification of the vehicle-mounted intelligent air-conditioning system as the execution subject.

[0046] At present, with the increasing attention paid to environmental protection around the world, the development of new energy vehicles is getting faster and faster. As an important part of new energy vehicles, the performance of the air-conditioning system directly affects the comfort of passengers and the energy consumption of the whole vehicle. The existing air-conditioning system of new energy vehicles lacks precise control and cannot perceive the temperature distribution and the position of passengers in the car in real time, so it is impossible to perform precise environmental control. The single adjustment mode can only perform simple cooling or heating based on the preset temperature, and cannot be adjusted intelligently according to the actual situation of the passengers in the car, resulting in high energy consumption of the air-conditioning system and low passenger comfort. Lack of self-optimization ability, inability to achieve self-learning and optimization, and inability to automatically adjust according to user usage habits and environmental changes, resulting in poor user experience.

[0047] The present invention provides a solution, by obtaining the in-car temperature value, the human body temperature value, and the temperature difference value between the human body and the in-car; obtaining the in-car temperature distribution model through an interpolation algorithm according to the in-car temperature value, and calculating the thermal comfort model through the Fanger's PMV model according to the human body temperature value and the temperature difference value; obtaining the target temperature setting value and the target wind speed according to the in-car temperature distribution model and the thermal comfort model; adjusting the in-car temperature according to the target temperature setting value and the target wind speed. Therefore, compared with the prior art, the present invention establishes a model for the obtained temperature parameters, and then realizes intelligent control of the air conditioner through intelligent calculation according to the model. Compared with the prior art, the present invention has more accurate control of the air conditioner and stronger optimization capability.

[0048] It should be noted that the execution subject of this embodiment can be a computing service device with data processing, network communication and program running functions, such as a tablet computer, a personal computer, a mobile phone, etc., or an electronic device capable of realizing the above functions, etc. The following takes the vehicle-mounted intelligent air conditioning system as an example to illustrate this embodiment and the following embodiments.

[0049] Based on this, the embodiment of the present invention provides an air conditioning intelligent adjustment method, referring to Figure 1 , Figure 1 A flowchart of the first embodiment of the air conditioning intelligent adjustment method of the present invention is provided.

[0050] In this embodiment, the air conditioner intelligent adjustment method includes steps S10 to S40:

[0051] Step S10, obtaining the temperature value inside the vehicle, the temperature value of the human body, and the temperature difference value between the human body and the inside of the vehicle.

[0052] It should be noted that the above-mentioned in-vehicle temperature value may be a temperature reading of the in-vehicle environment;

[0053] It should be noted that the above human body temperature value may be the temperature inside the human body;

[0054] It should be noted that the above temperature difference value may be the temperature difference between the temperature reading of the vehicle interior environment and the temperature inside the human body.

[0055] In a specific implementation, temperature data of different areas in the vehicle, the temperature of the human body, and the temperature difference between the human body and the vehicle are obtained based on the temperature sensors and infrared sensors arranged in the vehicle.

[0056] Step S20, obtaining an in-vehicle temperature distribution model through an interpolation algorithm according to the in-vehicle temperature value, and obtaining a thermal comfort model through Fanger's PMV model according to the human body temperature value and the temperature difference value.

[0057] It should be noted that the above interpolation algorithm may be a linear interpolation method or a polynomial interpolation method, etc., and this embodiment does not limit this.

[0058] It should be noted that the above-mentioned in-vehicle temperature distribution model may be a model for predicting and analyzing the temperature conditions inside the vehicle under different environmental conditions;

[0059] It should be noted that the Fanger's PMV model mentioned above can be used as a model for evaluating the impact of indoor thermal environment on human thermal comfort;

[0060] It should be noted that the above thermal comfort model can be a mathematical model for evaluating and predicting the thermal sensation and satisfaction of a human body in a specific thermal environment.

[0061] In the specific implementation, the temperature data of the sensor is normalized to identify and locate the position of the passenger. The temperature data is interpolated using the interpolation algorithm based on the data of each sensor to generate a smooth and accurate temperature distribution. The sensor data is fused and the fused data is used to construct the in-vehicle temperature distribution model using the interpolation algorithm. In combination with the temperature distribution data, the Fanger's PMV model is used to calculate the PMV value of each passenger to generate the passenger's thermal comfort model.

[0062] Step S30, obtaining a target temperature setting value and a target wind speed according to the in-vehicle temperature distribution model and the thermal comfort model.

[0063] It should be noted that the above target temperature setting value may be the vehicle air conditioning temperature setting value;

[0064] It should be noted that the above wind speed can be adjusted by the gear of the air conditioner in the car.

[0065] It is understandable that the above target temperature setting value and the above wind speed are applicable to both high and low temperatures.

[0066] In a specific implementation, after reading the above-mentioned in-vehicle temperature distribution model and the above-mentioned thermal comfort model of the passenger, the PPD value of each position is calculated through the PMV value, and the target PMV value is set (generally 0, indicating thermal neutrality). According to the actual position and comfort requirements of the passenger, the above-mentioned temperature setting values ​​and the above-mentioned wind speeds at different positions are determined.

[0067] Step S40, adjusting the temperature inside the vehicle according to the target temperature setting value and the target wind speed.

[0068] In a specific implementation, the in-car temperature and passenger comfort are monitored in real time, and the target temperature setting value and the target wind speed are adjusted and controlled according to feedback data to provide a comfortable environment for the passengers in the car.

[0069] This embodiment provides an intelligent air conditioning adjustment method, which obtains the in-vehicle temperature value, the human body temperature value, and the temperature difference value between the human body and the in-vehicle temperature; obtains the in-vehicle temperature distribution model through an interpolation algorithm according to the in-vehicle temperature value, and obtains the thermal comfort model through Fanger's PMV model according to the human body temperature value and the temperature difference value; obtains the target temperature setting value and the target wind speed according to the in-vehicle temperature distribution model and the thermal comfort model; and adjusts the in-vehicle temperature according to the target temperature setting value and the target wind speed. Compared with the prior art, the present invention has more accurate control over the air conditioning and stronger optimization capability.

[0070] Based on the first embodiment of the present invention, in the second embodiment of the present invention, the same or similar contents as those in the first embodiment can refer to the above introduction, and will not be repeated in the following. Figure 2 , Figure 2 A flowchart of the second embodiment of the air conditioner intelligent adjustment method of the present invention is provided.

[0071] In this embodiment, step S20 includes steps S201 to S202:

[0072] Step S201, filtering and denoising the in-vehicle temperature value, and normalizing the filtered and denoised in-vehicle temperature value to obtain temperature data.

[0073] It should be noted that the above normalization process may be Min-Max normalization or Z-Score normalization, which is not limited in this embodiment.

[0074] It should be noted that the above temperature data may be a digital signal of the temperature inside the vehicle.

[0075] It can be understood that the above normalization process is used to scale the data so that it falls into a small specific range.

[0076] In a specific implementation, the collected temperature difference values ​​are filtered and denoised to eliminate the interference of abnormal values, and are normalized to obtain the temperature data.

[0077] Step S202, interpolating the temperature data using the interpolation algorithm to generate a smooth and accurate in-vehicle temperature distribution model.

[0078] It should be noted that the above interpolation algorithm may be a linear interpolation method or a polynomial interpolation method, etc., and this embodiment does not limit this.

[0079] It should be noted that the above-mentioned in-vehicle temperature distribution model can be a model for predicting and analyzing the temperature conditions inside the vehicle under different environmental conditions.

[0080] In a specific implementation, the temperature data is interpolated using an interpolation algorithm to generate a smooth and accurate temperature distribution model.

[0081] Based on the second embodiment of the present invention, in the third embodiment of the present invention, the same or similar contents as those in the first embodiment can be referred to the above introduction, and will not be described in detail later. Figure 3 , Figure 3 A flowchart of the third embodiment of the air conditioner intelligent adjustment method of the present invention is provided.

[0082] In this embodiment, the step S20 includes steps S203 to S204:

[0083] Step S203, fusing the human body temperature value and the temperature difference value to obtain a human body PMV value.

[0084] It should be noted that the above human PMV value can be an index for predicting the average value of thermal sensation of people in a specific environment.

[0085] In a specific implementation, the human body temperature value and the temperature difference value are fused to obtain the PMV value.

[0086] Step S204, calculating the PMV value of the human body by using the Fanger's PMV model to obtain the thermal comfort model.

[0087] It should be noted that the Fanger's PMV model mentioned above can be used as a model for evaluating the impact of indoor thermal environment on human thermal comfort;

[0088] It should be noted that the above thermal comfort model can be a mathematical model for evaluating and predicting the thermal sensation and satisfaction of a human body in a specific thermal environment.

[0089] In a specific implementation, the temperature data is combined and Fanger's PMV model is used to calculate the human body PMV value of each passenger to generate the thermal comfort model of the passenger.

[0090] In a feasible implementation manner, step S30 includes steps S301 to S302:

[0091] Step S301, obtaining the PPD value of each part in the vehicle according to the vehicle temperature distribution model and the thermal comfort model.

[0092] It should be noted that the above PPD value may be the expected dissatisfaction percentage.

[0093] In a specific implementation, after reading the above-mentioned in-vehicle temperature distribution model and the above-mentioned thermal comfort model of the passengers, the initial air-conditioning system parameters and control strategy are set, and the above-mentioned PPD value of each position is calculated.

[0094] Step S302, determining the target temperature setting values ​​and the wind speeds at different locations according to the PPD values ​​of various parts in the vehicle.

[0095] It should be noted that the above target temperature setting value may be the vehicle air conditioning temperature setting value;

[0096] It should be noted that the above wind speed can be adjusted by the gear of the air conditioner in the car.

[0097] It is understandable that the above target temperature setting value and the above wind speed are applicable to both high and low temperatures.

[0098] In a specific implementation, the temperature adjustment targets at different locations are determined according to the PPD values. The target temperature setting values ​​and wind speeds of each air outlet of the air conditioning system are calculated as above.

[0099] In a feasible implementation manner, step S40 may further include steps S41' to S43':

[0100] Step S41', taking the passenger's air-conditioning operation data, the temperature data and the human body PMV value as historical data.

[0101] It should be noted that the above air-conditioning operation data may be data of manual operation of the air-conditioning data by the passenger;

[0102] It should be noted that the above historical data may be data that has been used.

[0103] It is understandable that the above historical data is stored in a local or cloud database.

[0104] In a specific implementation, the control module monitors and collects the air-conditioning operation data, the temperature data and the human body PMV value of the passengers in real time, filters them as the historical data, removes abnormal values ​​and noise data, extracts key feature values ​​from the remaining samples, such as temperature change trends, user-set temperatures, etc., and stores the historical data in a memory within the system.

[0105] Step S42': training an optimization model according to the historical data to obtain historical training values.

[0106] It should be noted that the above optimization model can be linear programming or nonlinear programming, etc., and this embodiment does not limit this.

[0107] It should be noted that the above historical training values ​​may be collected from historical data.

[0108] In a specific implementation, the above-mentioned optimization model is continuously trained according to the above-mentioned historical data, and the training results are continuously accumulated to obtain the above-mentioned historical training values.

[0109] Step S43': when the historical training value reaches a preset training threshold, the air-conditioning intelligent adjustment data is obtained.

[0110] It should be noted that the above-mentioned preset training threshold may be the cumulative threshold of the above-mentioned historical data;

[0111] It should be noted that the above-mentioned air conditioning intelligent adjustment data can collect and analyze various data according to the in-vehicle environmental conditions and user preferences.

[0112] In a specific implementation, when the above historical training value reaches the above preset training threshold, it means that the data collected and analyzed by the system on the in-vehicle environmental conditions and user preferences have met the conditions for self-adjustment of the above-mentioned vehicle-mounted intelligent air-conditioning system, and the above-mentioned air-conditioning intelligent adjustment data is obtained at this time.

[0113] In a feasible implementation manner, step S43' may further include step S431':

[0114] Step S431', according to the air conditioning intelligent adjustment data, adaptive adjustment of the entire air conditioning intelligent system is obtained through adaptive control.

[0115] It should be noted that the above-mentioned adaptive regulation may be a control method that can automatically adjust its control strategy during the operation of the above-mentioned vehicle-mounted intelligent air-conditioning system to adapt to changes in the dynamic characteristics of the system.

[0116] In a specific implementation, based on the above-mentioned air-conditioning intelligent adjustment data, the above-mentioned adaptive control is obtained to obtain the adaptive adjustment of the entire air-conditioning intelligent system. At this time, the above-mentioned vehicle-mounted intelligent air-conditioning system will automatically adjust the above-mentioned target temperature setting value and the above-mentioned target wind speed according to the passenger's usage habits, and automatically optimize and learn according to the changes made by the passengers.

[0117] It should be noted that the above examples are only used to understand the present invention and do not constitute a limitation on the intelligent air conditioning adjustment method of the present invention. More simple transformations based on this technical concept are all within the protection scope of the present invention.

[0118] The present invention also provides a vehicle-mounted intelligent air conditioning system, please refer to Figure 4 , Figure 4 The module structure diagram of the vehicle-mounted intelligent air-conditioning system according to an embodiment of the present invention is as follows:

[0119] Detection module, data processing module, control module and execution module;

[0120] The detection module is connected to the data processing module; the data processing module is connected to the control module; the control module is connected to the execution module; and the execution module is connected to the air conditioner.

[0121] The present invention provides an intelligent air conditioning adjustment device, which includes: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the intelligent air conditioning adjustment method in the above-mentioned embodiment one.

[0122] Reference below Figure 5 , which shows a schematic diagram of the structure of an air-conditioning intelligent adjustment device suitable for implementing an embodiment of the present invention. The air-conditioning intelligent adjustment device in the embodiment of the present invention may include, but is not limited to, mobile terminals such as mobile phones, laptop computers, digital broadcast receivers, PDAs (Personal Digital Assistants), PADs (Portable Application Descriptions), PMPs (Portable Media Players), vehicle-mounted terminals (such as vehicle-mounted navigation terminals), etc., and fixed terminals such as digital TVs, desktop computers, etc. Figure 5 The air conditioning intelligent adjustment device shown is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present invention.

[0123] like Figure 5As shown, the air conditioning intelligent adjustment device may include a processing device 1001 (such as a central processing unit, a graphics processor, etc.), which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM: Read Only Memory) 1002 or a program loaded from a storage device 1003 to a random access memory (RAM: Random Access Memory) 1004. In RAM1004, various programs and data required for the operation of the air conditioning intelligent adjustment device are also stored. The processing device 1001, ROM1002 and RAM1004 are connected to each other through a bus 1005. An input / output (I / O) interface 1006 is also connected to the bus. Generally, the following systems can be connected to the I / O interface 1006: an input device 1007 including, for example, a touch screen, a touchpad, a keyboard, a mouse, an image sensor, a microphone, an accelerometer, a gyroscope, etc.; an output device 1008 including, for example, a liquid crystal display (LCD: Liquid Crystal Display), a speaker, a vibrator, etc.; a storage device 1003 including, for example, a magnetic tape, a hard disk, etc.; and a communication device 1009. The communication device 1009 can allow the air conditioning intelligent adjustment device to communicate with other devices wirelessly or wired to exchange data. Although the figure shows an air conditioning intelligent adjustment device with various systems, it should be understood that it is not required to implement or have all the systems shown. More or fewer systems can be implemented or provided instead.

[0124] In particular, according to the embodiments disclosed in the present invention, the process described above with reference to the flowchart can be implemented as a computer software program. For example, the embodiments disclosed in the present invention include a computer program product, which includes a computer program carried on a computer-readable medium, and the computer program contains program code for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from the network through a communication device, or installed from the storage device 1003, or installed from the ROM 1002. When the computer program is executed by the processing device 1001, the above-mentioned functions defined in the method of the embodiment disclosed in the present invention are executed.

[0125] The air conditioner intelligent adjustment device provided by the present invention adopts the air conditioner intelligent adjustment method in the above embodiment, which can solve the technical problem of air conditioner intelligent adjustment. Compared with the prior art, the beneficial effects of the air conditioner intelligent adjustment device provided by the present invention are the same as the beneficial effects of the air conditioner intelligent adjustment method provided by the above embodiment, and other technical features in the air conditioner intelligent adjustment device are the same as the features disclosed in the method of the previous embodiment, which will not be repeated here.

[0126] It should be understood that the various parts disclosed in the present invention can be implemented by hardware, software, firmware or a combination thereof. In the description of the above embodiments, specific features, structures, materials or characteristics can be combined in any one or more embodiments or examples in a suitable manner.

[0127] The above is only a specific embodiment of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art can easily think of changes or substitutions within the technical scope disclosed by the present invention, which should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention should be based on the protection scope of the claims.

[0128] The present invention provides a computer-readable storage medium having computer-readable program instructions (ie, computer programs) stored thereon, and the computer-readable program instructions are used to execute the air conditioning intelligent adjustment method in the above-mentioned embodiment.

[0129] The computer-readable storage medium provided by the present invention may be, for example, a USB flash drive, but is not limited to electrical, magnetic, optical, electromagnetic, infrared, or semiconductor systems, systems or devices, or any combination thereof. More specific examples of computer-readable storage media may include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination thereof. In this embodiment, the computer-readable storage medium may be any tangible medium containing or storing a program that may be used by or in combination with an instruction execution system, system or device. The program code contained on the computer-readable storage medium may be transmitted using any suitable medium, including but not limited to: wires, optical cables, RF (Radio Frequency), etc., or any suitable combination thereof.

[0130] The computer-readable storage medium may be included in the air-conditioning intelligent adjustment device; or may exist independently without being assembled into the air-conditioning intelligent adjustment device.

[0131] The above-mentioned computer-readable storage medium carries one or more programs. When the above-mentioned one or more programs are executed by the air-conditioning intelligent adjustment device, the air-conditioning intelligent adjustment device: obtains the in-vehicle temperature value, the human body temperature value and the temperature difference value between the human body and the interior of the vehicle; obtains the in-vehicle temperature distribution model through an interpolation algorithm based on the in-vehicle temperature value, and obtains the thermal comfort model through Fanger's PMV model based on the human body temperature value and the temperature difference value; obtains the target temperature setting value and the target wind speed based on the in-vehicle temperature distribution model and the thermal comfort model; and adjusts the in-vehicle temperature according to the target temperature setting value and the target wind speed.

[0132] Computer program code for performing the operations of the present invention may be written in one or more programming languages ​​or a combination thereof, including object-oriented programming languages ​​such as Java, Smalltalk, C++, and conventional procedural programming languages ​​such as "C" or similar programming languages. The program code may be executed entirely on the user's computer, partially on the user's computer, as a separate software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., through the Internet using an Internet service provider).

[0133] The flow chart and block diagram in the accompanying drawings illustrate the possible architecture, function and operation of the system, method and computer program product according to various embodiments of the present invention. In this regard, each square box in the flow chart or block diagram can represent a module, a program segment or a part of a code, and the module, the program segment or a part of the code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the square box can also occur in a sequence different from that marked in the accompanying drawings. For example, two square boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each square box in the block diagram and / or flow chart, and the combination of the square boxes in the block diagram and / or flow chart can be implemented with a dedicated hardware-based system that performs the specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0134] The modules involved in the embodiments of the present invention may be implemented by software or hardware, wherein the name of the module does not limit the unit itself in some cases.

[0135] The readable storage medium provided by the present invention is a computer-readable storage medium, which stores computer-readable program instructions (i.e., computer programs) for executing the above-mentioned air conditioner intelligent adjustment method, and can solve the technical problem of air conditioner intelligent adjustment. Compared with the prior art, the beneficial effects of the computer-readable storage medium provided by the present invention are the same as the beneficial effects of the air conditioner intelligent adjustment method provided by the above-mentioned embodiment, and will not be repeated here.

[0136] The present invention also provides a computer program product, including a computer program, which implements the steps of the above-mentioned air-conditioning intelligent adjustment method when executed by a processor.

[0137] The computer program product provided by the present invention can solve the technical problem of intelligent air conditioning adjustment. Compared with the prior art, the beneficial effects of the computer program product provided by the present invention are the same as the beneficial effects of the intelligent air conditioning adjustment method provided by the above embodiment, which will not be repeated here.

[0138] The above descriptions are only some embodiments of the present invention, and are not intended to limit the patent scope of the present invention. All equivalent structural changes made using the contents of the present invention's specification and drawings under the technical concept of the present invention, or directly / indirectly applied in other related technical fields, are included in the patent protection scope of the present invention.

Claims

1. An air conditioning intelligent adjustment method, characterized in that: The air conditioning intelligent adjustment method is applied to a vehicle-mounted intelligent air conditioning system, and the air conditioning intelligent adjustment method includes: Obtain the temperature value inside the car, the temperature value of the human body, and the temperature difference between the human body and the inside of the car; Obtaining an in-vehicle temperature distribution model through an interpolation algorithm according to the in-vehicle temperature value, and obtaining a thermal comfort model through Fanger's PMV model according to the human body temperature value and the temperature difference value; Obtaining a target temperature setting value and a target wind speed according to the in-vehicle temperature distribution model and the thermal comfort model; The temperature inside the vehicle is adjusted according to the target temperature setting value and the target wind speed.

2. The air conditioning intelligent adjustment method according to claim 1, characterized in that: The step of obtaining the in-vehicle temperature distribution model by an interpolation algorithm according to the in-vehicle temperature value comprises: Filtering and denoising the in-vehicle temperature value, and normalizing the filtered and denoised in-vehicle temperature value to obtain temperature data; The temperature data is interpolated by the interpolation algorithm to generate a smooth and accurate in-vehicle temperature distribution model.

3. The air conditioning intelligent adjustment method according to claim 2, characterized in that: The step of calculating the thermal comfort model using the Fanger's PMV model according to the human body temperature value and the temperature difference value comprises: The human body temperature value and the temperature difference value are merged to obtain a human body PMV value; The thermal comfort model is obtained by calculating the PMV value of the human body using the Fanger's PMV model.

4. The air conditioning intelligent adjustment method according to claim 3, characterized in that: The step of obtaining a target temperature setting value and a target wind speed according to the in-vehicle temperature distribution model and the thermal comfort model comprises: Obtaining PPD values ​​of various parts in the vehicle according to the vehicle interior temperature distribution model and the thermal comfort model; According to the PPD values ​​of various parts in the vehicle, the target temperature setting values ​​and the wind speeds at different locations are determined.

5. The air conditioning intelligent adjustment method according to claim 4, characterized in that: After the step of adjusting the temperature inside the vehicle according to the target temperature setting value and the target wind speed, the method further comprises: The air-conditioning operation data, the temperature data and the human body PMV value of the passenger are used as historical data; Training an optimization model according to the historical data to obtain historical training values; When the historical training value reaches a preset training threshold, the air-conditioning intelligent adjustment data is obtained.

6. The air conditioning intelligent adjustment method according to claim 5, characterized in that: When the historical training value reaches the preset training threshold, after the step of obtaining the air conditioner intelligent adjustment data, the method further comprises: According to the air-conditioning intelligent adjustment data, adaptive adjustment of the entire air-conditioning intelligent system is obtained through adaptive control.

7. A vehicle-mounted intelligent air conditioning system, characterized in that: The vehicle-mounted intelligent air conditioning system comprises: Detection module, data processing module, control module and execution module; The detection module is connected to the data processing module; the data processing module is connected to the control module; the control module is connected to the execution module; and the execution module is connected to the air conditioner.

8. An intelligent air conditioning adjustment device, characterized in that: The device comprises: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the computer program is configured to implement the steps of the air conditioning intelligent adjustment method according to any one of claims 1 to 6.

9. A storage medium, characterized in that: The storage medium is a computer-readable storage medium, and a computer program is stored on the storage medium. When the computer program is executed by a processor, the steps of the air conditioning intelligent adjustment method according to any one of claims 1 to 6 are implemented.

10. A computer program product, characterized in that The computer program product comprises a computer program, and when the computer program is executed by a processor, the steps of the air conditioner intelligent adjustment method according to any one of claims 1 to 6 are implemented.

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