Air conditioning control method, air conditioning control device, storage medium and vehicle

Abstract

The present invention discloses an air conditioning control method, an air conditioning control device, a storage medium and a vehicle. The air conditioning control method comprises: obtaining human body representation data of a target user; using a multi-island genetic algorithm to solve an optimal value according to the human body representation data to obtain a target air conditioning control parameter; and controlling the air conditioning operation according to the target air conditioning control parameter. The air conditioning control method can improve the comfort of the user.

Description

Technical Field

[0001] The present invention relates to the technical field of vehicles, and in particular to an air-conditioning control method, an air-conditioning control device, a storage medium and a vehicle. Background Art

[0002] The vehicle air conditioning system is indispensable during the operation of the vehicle. In order to better meet the user's requirements for air conditioning comfort, the existing air conditioning system will adjust the temperature according to different environments and different needs.

[0003] In the related art, the air conditioning system only uses environmental factors such as air temperature, air speed, radiation temperature, relative humidity, etc. to achieve reasonable temperature control of the vehicle compartment. This control method is single and has poor temperature control effect, and cannot meet human comfort requirements. Summary of the invention

[0004] The present invention aims to solve at least one of the technical problems existing in the prior art. To this end, one object of the present invention is to provide an air conditioning control method.

[0005] A second objective of the present invention is to provide an air conditioning control device.

[0006] A third object of the present invention is to provide a computer storage medium.

[0007] The fourth object of the present invention is to provide a vehicle that solves the problem of single temperature control method and poor temperature adjustment effect.

[0008] In order to solve the above problems, the air-conditioning control method provided by the first aspect embodiment of the present invention includes: obtaining human body characterization data of the target user; using a multi-island genetic algorithm to solve the optimal value according to the human body characterization data to obtain target air-conditioning control parameters; and controlling the air-conditioning operation according to the target air-conditioning control parameters.

[0009] According to the air-conditioning control method of the embodiment of the present invention, the optimal value is solved by using the multi-island genetic algorithm through the human body characterization data of the target user to determine the comfort needs of the target user and obtain the optimal target air-conditioning control parameters, and then the air-conditioning is precisely controlled according to the optimal target air-conditioning control parameters, thereby meeting the comfort needs of the target user and improving the user's comfort.

[0010] In some embodiments, a multi-island genetic algorithm is used to solve the optimal value according to the human body characterization data to obtain the target air-conditioning control parameters, including: using a multi-island genetic algorithm combined with a human body comfort virtual model to solve according to the human body characterization data to obtain the optimal overall comfort index of the target user; obtaining the air-conditioning control parameters corresponding to the optimal overall comfort index in the human body comfort virtual model as the target air-conditioning control parameters, wherein the overall comfort index is used to characterize human comfort.

[0011] In some embodiments, a multi-island genetic algorithm is used in combination with a human body comfort virtual model to solve the human body characterization data to obtain the optimal overall comfort index of the target user, including: determining the design variables of comfort according to the human body characterization data and the standard characterization data in the human body comfort virtual model, wherein the dummy human body state parameters include the standard characterization data; obtaining the overall comfort index of the target user according to the design variables; constructing an objective function with the minimum overall comfort index as the optimization target, with the first preset difference range and the second preset difference range as the constraints of the design variables, and iteratively optimizing the overall comfort index of the target user according to the multi-island genetic algorithm until the overall comfort index of the target user is within the limit range of the human body comfort index to obtain the optimal overall comfort index.

[0012] In some embodiments, the human body characterization data includes the current average skin temperature and the current head temperature of the target user; the standard characterization data includes the standard skin temperature and the standard head temperature of the dummy; the design variable is a first difference between the current average skin temperature and the standard skin temperature, and a second difference between the current head temperature and the standard head temperature;

[0013] The obtaining the overall comfort index of the target user according to the design variables includes: obtaining the overall comfort index of the target user according to the first difference and the second difference.

[0014] In some embodiments, the overall comfort index includes a human body dynamic thermal sensation evaluation value.

[0015] In some embodiments, the human comfort index limit range is [-1, 1], the first preset difference range is [0°C, 5°C], and / or the second preset difference range is [0°C, 5°C].

[0016] In some embodiments, the air conditioning control method further includes: sending comfort prompt information according to the overall comfort index of the target user.

[0017] A second aspect of the present invention provides an air conditioning control device, comprising: at least one processor; a memory communicatively connected to at least one of the processors; wherein the memory stores a computer program executable by at least one of the processors, and when at least one of the processors executes the computer program, the air conditioning control method described in the above embodiment is implemented.

[0018] According to the air conditioning control device of the embodiment of the present invention, the comfort of the user can be improved by adopting the air conditioning control method provided by the above embodiment.

[0019] A third aspect of the present invention provides a computer storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the air conditioning control method described in the above embodiment.

[0020] A fourth aspect of the present invention provides a vehicle, comprising: a detection module for detecting human body representation data of a target user; an air conditioner and an air conditioner control device, wherein the air conditioner control device is used to control the air conditioner according to the air conditioner control method described in the above embodiment.

[0021] According to the vehicle of the embodiment of the present invention, the air conditioning is controlled by the air conditioning control method provided by the above embodiment through the air conditioning control device, and the human body comfort virtual model is solved according to the human body characterization data of the target user by using the multi-island genetic algorithm to judge the comfort needs of the target user. The multi-island genetic algorithm can be used to solve the optimal solution of the target air conditioning control parameters to obtain the optimal target air conditioning control parameters, and then the air conditioning is accurately controlled according to the optimal target air conditioning control parameters, thereby meeting the comfort needs of the target user and improving the user's comfort.

[0022] Additional aspects and advantages of the present invention will be given in part in the following description and in part will be obvious from the following description, or will be learned through practice of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] The above and / or additional aspects and advantages of the present invention will become apparent and easily understood from the description of the embodiments in conjunction with the following drawings, in which:

[0024] Figure 1 is a flow chart of an air conditioning control method according to an embodiment of the present invention;

[0025] Figure 2 is a schematic diagram of human comfort of a dummy according to another embodiment of the present invention;

[0026] Figure 3 is a flow chart of an air conditioning control method according to another embodiment of the present invention;

[0027] Figure 4is a structural block diagram of an air conditioning control device according to an embodiment of the present invention;

[0028] Figure 5 is a structural block diagram of a vehicle according to an embodiment of the present invention.

[0029] Reference numerals:

[0030] Air conditioning control device 10; vehicle 20;

[0031] Processor 1; memory 2; detection module 3; air conditioner 4. DETAILED DESCRIPTION

[0032] Embodiments of the present invention are described in detail below. The embodiments described with reference to the accompanying drawings are exemplary. Embodiments of the present invention are described in detail below.

[0033] In order to solve the above problems, a first embodiment of the present invention provides an air conditioning control method, which can improve the comfort of users.

[0034] Reference below Figure 1 The air conditioning control method according to the embodiment of the present invention is described as follows: Figure 1 As shown, the air conditioning control method at least includes steps S1 to S3.

[0035] Step S1, obtaining human body representation data of a target user.

[0036] The human body representation data may include body surface data such as skin temperature and humidity of various parts of the human body. Specifically, a sensor or an image acquisition device may be provided to collect the human body representation data of the target user in real time.

[0037] Step S2, using a multi-island genetic algorithm to solve the optimal value according to the human body characterization data to obtain the target air conditioning control parameters.

[0038] Among them, the multi-island genetic algorithm is a type of non-classical optimization algorithm evolved from the evolutionary laws of the biological world. It does not have the limitations of derivatives and continuity of objective functions, and has global optimization capabilities. Specifically, it decomposes the individuals of each generation of the population into multiple subgroups, performs algorithm operations such as selection, hybridization, and mutation on the individuals in each subgroup, and selects individuals in the subgroup every few generations for exchange or migration operations, thereby ensuring the diversity of optimization solutions in the evolutionary process, thereby effectively suppressing the occurrence of premature phenomena. Therefore, the embodiment of the present invention uses a multi-island genetic algorithm to solve the optimal value based on human body characterization data to determine the comfort needs of the target user, obtain the air-conditioning control parameters that best meet the comfort needs of the target user, and use the air-conditioning control parameters that best meet the comfort needs of the target user as the target air-conditioning control parameters, thereby greatly avoiding the problem that the operating state of the air-conditioning cannot meet the comfort needs of the user, and improving the comfort of the user.

[0039] Step S3, controlling the operation of the air conditioner according to the target air conditioner control parameters, so that the operation state of the air conditioner can meet the comfort needs of the target user and improve the comfort of the user.

[0040] The target air conditioning control parameters include operating parameters such as outlet air temperature, air volume, humidity, wind speed, etc. For example, a blower control signal is sent according to the target air conditioning control parameters to control the outlet air temperature and air volume to meet the comfort requirements of the target user.

[0041] According to the air-conditioning control method of the embodiment of the present invention, the optimal value is solved by using the multi-island genetic algorithm through the human body characterization data of the target user to determine the comfort needs of the target user and obtain the optimal target air-conditioning control parameters, and then the air-conditioning is precisely controlled according to the optimal target air-conditioning control parameters, thereby meeting the comfort needs of the target user and improving the user's comfort.

[0042] In some embodiments, a multi-island genetic algorithm is used in combination with a human body comfort virtual model to solve the human body characterization data to obtain the optimal overall comfort index of the target user; the air-conditioning control parameters corresponding to the optimal overall comfort index in the human body comfort virtual model are obtained as target air-conditioning control parameters, wherein the overall comfort index is used to characterize human comfort.

[0043] Among them, the human body comfort virtual model is a data model established based on environmental parameters, air-conditioning control parameters, dummy human body state parameters and dummy human body comfort.

[0044] In the embodiment, a virtual model of human comfort is pre-established and stored, and the comfort of the dummy in the cabin under different environments is collected through the dummy, and a detailed database of different environmental parameters, different air-conditioning control parameters, different human state parameters of the dummy, and different human comfort of the dummy is established, wherein the evaluation method adopted is divided into subjective evaluation and objective evaluation, and the subjective evaluation can evaluate the human comfort of the dummy through test calibration and road test calibration, and the objective evaluation can evaluate the human comfort of the dummy through dummy testing and virtual simulation. The dummies include warm body dummies and sensor dummies.

[0045] In the process of establishing a virtual model of human comfort, the human body state parameters such as the dummy's clothing and metabolism such as blood, activities, and psychological changes are considered, and different environmental parameters such as radiation temperature and convection heat transfer are referred to, and the temperature of each part of the dummy and the human comfort are monitored in real time. Therefore, the influence of human factors and environmental factors is comprehensively considered, and the established virtual model of human comfort can reflect the metabolism and blood circulation of the real human body. In addition, considering the passive and active behaviors of the human body, the blood flow in the arteries transfers heat to warm the body. In a cold environment, the human blood vessels contract, resulting in slow blood flow, and in order to maintain body temperature, the vascular resistance is increased to reduce the heat reaching the skin surface; on the contrary, in a low temperature environment, it will be just the opposite. Therefore, the real comfort of the human body can be reflected through the human thermodynamic model. In addition, in the process of establishing a virtual model of human comfort, the comfort evaluation results of the dummy body, that is, the comfort of the dummy body, are obtained through virtual testing to characterize the human comfort under different working conditions, such as overheating, slight heat, comfort, slight cold, and overcooling. For example Figure 2 As shown in the figure, the dynamic evaluation results of the dummy's human comfort over time under different air-conditioning control parameters are the dummy's human comfort. It can be seen from the figure that the best comfort of the dummy is obtained after 3200s. Therefore, based on the human comfort virtual model established by environmental parameters, air-conditioning control parameters, dummy human state parameters and dummy human comfort, the multi-island genetic algorithm is used to solve the optimal value of the human comfort virtual model through the human characterization data of the target user to judge the comfort needs of the target user, that is, the virtual technology is used to make the dummy's human characteristics close to the human characteristics of the target user, so as to judge the comfort needs of the target user, and the air-conditioning control parameters corresponding to the dummy's human characteristics when it is close to the target user's human characteristics are used as the target air-conditioning control parameters, so as to obtain the air-conditioning outlet temperature and air volume that meet the target user on the basis of considering the user characterization information, and to avoid the problem that the operating state of the air-conditioning cannot meet the user's comfort needs to a great extent, and effectively improve the human comfort of the target user.

[0046] Among them, the overall comfort index refers to the use of a single value to describe the overall comfort of an individual, that is, it can be expressed as the human comfort under given circumstances. Therefore, the embodiment of the present invention uses a multi-island genetic algorithm to compare the human characterization data with the human comfort virtual model to obtain the optimal overall comfort index of the target user, which can infinitely bring the human characteristics of the dummy close to the human characteristics of the target user, and greatly avoid the problem that the operating state of the air conditioner cannot meet the user's comfort needs, and use the air conditioning control parameters corresponding to the optimal overall comfort index in the human comfort virtual model as the target air conditioning control parameters, and control the air conditioning operation with the target air conditioning control parameters to meet the comfort needs of the target user, effectively improving the user's comfort.

[0047] In some embodiments, when using the multi-island genetic algorithm to solve the optimal overall comfort index, it is also possible to dynamically adjust the crossover and mutation probabilities to overcome the premature phenomenon of the multi-island genetic algorithm, and add annealing operations to improve the optimization ability of the multi-island genetic algorithm, so that the human body characteristics of the dummy are infinitely close to the human body characteristics of the passenger, thereby maximizing the user's human comfort.

[0048] In some embodiments, the design variables of comfort are determined based on human body characterization data and standard characterization data in a virtual model of human comfort, wherein the dummy human body state parameters include standard characterization data; the overall comfort index of the target user is obtained based on the design variables; an objective function is constructed with the minimum overall comfort index as the optimization target, and the first preset difference range and the second preset difference range are used as constraints of the design variables, and the overall comfort index is iteratively optimized according to the multi-island genetic algorithm, that is, the changes in variables are dynamically evaluated according to the population evolution theory of the multi-island genetic algorithm, and the occurrence of crossover and mutation populations is continuously adjusted until the overall comfort index is within the limit range of the human comfort index to obtain the optimal overall comfort index.

[0049] Among them, the standard characterization data refers to the dummy characterization data corresponding to the optimal comfort level of the dummy under certain environmental parameters.

[0050] In some embodiments, the human characterization data includes the current average skin temperature and the current head temperature of the target user; the standard characterization data includes the standard skin temperature and the standard head temperature of the dummy; the design variables are a first difference between the current average skin temperature and the standard skin temperature, and a second difference between the current head temperature and the standard head temperature.

[0051] In some embodiments, the consideration of the human body surface temperature based on TS (thermal sensation) is a steady-state evaluation form, and the consideration of the human body's adjustment and perception of temperature changes based on DTS (dynamic thermal sensation) is a dynamic evaluation form. Therefore, the overall comfort index in an embodiment of the present invention includes a human body thermal sensation evaluation value or a human body dynamic thermal sensation evaluation value.

[0052] In an embodiment, the embodiment of the present invention can use the human body dynamic thermal sensation evaluation value DTS as the overall comfort index to judge the comfort of the target user. Specifically, the overall comfort index of the target user is obtained by the following formula according to the first difference and the second difference:

[0053]

[0054]

[0055] Where DTS is the dynamic thermal perception evaluation value of the human body, a is the correction coefficient, ΔT sk，m is the first difference, is the negative average skin temperature change rate, is the maximum positive average skin temperature change rate, t is the time corresponding to the maximum positive average skin temperature change rate, ΔT hy is the second difference, and F2 is the head temperature influence function.

[0056] In some embodiments, when ΔT sk，m <0, a=0.3; when ΔT sk，m >0, a=1.08. And, it can be understood that when the average temperature change rate at the current moment is positive, then

[0057] In some embodiments, the minimum overall comfort index is obtained by the following formula:

[0058]

[0059] That is, min|DTS|=ω1f(ΔT sk，mi ) 2 +ω2f(ΔT hyi ) 2 i=1、2……12

[0060] Where min|DTS| is the minimum overall comfort index. ω1 and ω2 are weighting factors, and their sum is 1.

[0061] In some embodiments, the human comfort index limit range may be [-3, 3]. In order to better meet the thermal comfort of the human body, the human comfort index limit range is preferably [-1, 1]. Also, after a large number of experiments and experiences in the early stage, the first preset difference range is preferably [0°C, 5°C], and the second preset difference range is preferably [0°C, 5°C]. Thus, by setting the above range to obtain the target air conditioning control parameters, the user's comfort needs can be met, and the energy consumption of the whole vehicle can be saved.

[0062] It can be understood that the limit range of the human comfort index is [-3, 3], the thermal sensation of the human body corresponds to the perception change from very cold to very hot, and when the overall comfort index is 0, it represents the optimal comfort of the target user.

[0063] Reference below Figure 3 The air conditioning control method according to the embodiment of the present invention is described by way of example, and the specific steps are as follows.

[0064] Step S4: the air conditioner starts running.

[0065] Step S5, automatically initialize the population, that is, initialize the human body comfort virtual model and human body characterization data, and at the same time collect the current average skin temperature and current head temperature of the target user through a temperature sensor or an image sensor, and the standard skin temperature and standard head temperature are the skin temperature and head temperature of the dummy in the human body comfort virtual model within the current ambient temperature range. It can be understood that within the current ambient temperature range, the human body comfort virtual model corresponds to a variety of different environmental parameters, different air-conditioning control parameters, and different human body state parameters of the dummy, etc. Therefore, there are multiple different standard skin temperatures and standard head temperatures in the human body comfort virtual model, and a first difference between the current average skin temperature and different standard skin temperatures and a second difference between the current head temperature and different standard head temperatures are used as design variables to generate an initial population.

[0066] Step S6, calculate the population fitness, that is, input the objective function min|DTS|, the design variable ΔT sk，m and ΔTh y , Constraints: The first preset difference range is [0℃, 5℃], the second preset difference range is [0℃, 5℃], calculate the overall comfort index of each individual in the initial population, and use the overall comfort index to characterize the population fitness, that is, the human comfort of the target user, and determine the human comfort of the target user according to the relationship between the overall comfort index and the population fitness. The closer the overall comfort index is to min|DTS|, the better the human comfort, that is, the stronger the population fitness. For example, min|DTS|=0, the overall comfort index is 1, and the human comfort of the target user is hot; the overall comfort index is 0, and the human comfort of the target user is normal; the overall comfort index is -1, and the human comfort of the target user is cold.

[0067] Step S7, the algorithm self-judgment, that is, judging whether the overall comfort index is within the human comfort index limit range, specifically using the multi-island genetic algorithm to solve the optimal overall comfort index of the target user to obtain the optimal population fitness of the target user. If it is within the human comfort index limit range, execute step S10; if it is not within the human comfort index limit range, execute step S8.

[0068] Step S8, performing migration operation, performing at least one of selection, mutation, elimination, crossover or recombination operation on the initial population to form a new population, so as to iteratively optimize the overall comfort index. Specifically, the optimized overall comfort index in the initial population is selected and inherited to the next generation population, for example, individuals whose population fitness, i.e., the overall comfort index range is (-3, 3) in the initial population are inherited to the next generation population, and individuals not in the overall comfort index range (-3, 3) are eliminated, or the current average skin temperature, the current head temperature and different standard skin temperatures and standard head temperatures are crossover operated to generate new individuals and then inherited to the next generation population, or the current average skin temperature, the current head temperature and different standard skin temperatures and standard head temperatures are adjusted, and new individuals are generated by mutation operation and then inherited to the next generation population, thereby iteratively optimizing the population through the above evolutionary operations.

[0069] Step S9, by dynamically adjusting the crossover and mutation probabilities to overcome the premature phenomenon of the multi-island genetic algorithm, and adding annealing operation to improve the local optimization ability of the algorithm to form an improved multi-island genetic algorithm. In order to avoid the problem of local optimal solution, the annealing algorithm is used to modify the multi-island genetic algorithm, that is, the design variable ΔT sk，m and ΔTh y Optimize to achieve the global optimal solution and improve the optimization ability of the multi-island genetic algorithm. Specifically, initialize the population: initialize the human comfort virtual model and human characterization data, set the number of iterations for the current average skin temperature, the current head temperature, and different standard skin temperatures and standard head temperatures, and randomly generate the initial solution, i.e., the design variable ΔT, according to the current average skin temperature, the current head temperature, and different standard skin temperatures and standard head temperatures. sk，m and ΔT hy , and calculate the current overall comfort index based on the randomly generated initial solution, where the current overall comfort index is used as the optimization target of this annealing process; generate new solutions for the current average skin temperature, the current head temperature and different standard skin temperature and standard head temperature disturbances, calculate the overall comfort index corresponding to each new solution, and calculate the difference between the overall comfort index corresponding to each new solution and the current overall comfort index corresponding to the initial solution. If the difference is less than zero, the overall comfort index corresponding to the new solution is accepted as the current overall comfort index, otherwise the overall comfort index corresponding to the new solution is accepted as the current overall comfort index by the probability density function. Therefore, by repeating the above iterations of "generating new solutions, calculating the overall comfort index difference, accepting or discarding" for the initial solution, the current overall comfort index when the annealing algorithm terminates is the approximate optimal solution obtained by this annealing process.

[0070] Step S10, determining the optimal solution, that is, determining the optimal overall comfort index of the target user.

[0071] Step S11, outputting a blower signal to control the air conditioner to operate with target air conditioner control parameters, so that the air outlet temperature and air volume of the air conditioner meet the human comfort requirements of the target user.

[0072] In some embodiments, the air conditioning control method further includes sending comfort prompt information according to the overall comfort index of the target user, so as to display the comfort status for the target user, such as by displaying it in the form of images or numbers, to enhance the user experience.

[0073] In summary, according to the air-conditioning control method of the embodiment of the present invention, a human comfort test is performed on a dummy to establish a human comfort virtual model, so that the human characteristics of the dummy are close to the human characteristics of the target user. At the same time, a multi-island genetic algorithm is used to compare the human characterization data with the human comfort virtual model, so as to judge the different needs of users with different characterizations for air-conditioning performance. When the air-conditioning is close to the human characteristics of the target user, the corresponding target air-conditioning control parameters are automatically turned on and the operating state is adjusted, so as to obtain the air-conditioning outlet temperature and air volume that meet the target user on the basis of considering the user characterization information, thereby effectively improving the human comfort of the target user.

[0074] A second aspect of the present invention provides an air conditioning control device, such as Figure 3 As shown, the air conditioning control device 10 includes at least one processor 1 and a memory 2 communicatively connected to the at least one processor 1 .

[0075] The memory 2 stores a computer program that can be executed by at least one processor 1 , and when the at least one processor 1 executes the computer program, the air conditioning control method provided in the above embodiment is implemented.

[0076] It should be noted that the specific implementation method of the air-conditioning control device 10 of the embodiment of the present invention is similar to the specific implementation method of the air-conditioning control method of any of the above-mentioned embodiments of the present invention. Please refer to the description of the method part for details. In order to reduce redundancy, it will not be repeated here.

[0077] According to the air conditioning control device 10 of the embodiment of the present invention, the comfort of the user can be improved by adopting the air conditioning control method provided by the above embodiment.

[0078] A third aspect of the present invention provides a computer storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the air conditioning control method provided in the above embodiment.

[0079] A fourth aspect of the present invention provides a vehicle, such as Figure 4 As shown, the vehicle 20 includes a detection module 3 , an air conditioner 4 and an air conditioner control device 10 .

[0080] The detection module 3 is used to detect the human body representation data of the target user; the air-conditioning control device 10 is used to control the air-conditioning 4 according to the air-conditioning control method provided in the above embodiment.

[0081] It should be noted that the specific implementation method of the air-conditioning control device 10 of the embodiment of the present invention is similar to the specific implementation method of the air-conditioning control method of any of the above-mentioned embodiments of the present invention. Please refer to the description of the method part for details. In order to reduce redundancy, it will not be repeated here.

[0082] In an embodiment, the detection module 3 may include a temperature sensor or an image acquisition device.

[0083] According to the vehicle 20 of the embodiment of the present invention, the air conditioner 4 is controlled by the air conditioning control method provided by the above embodiment through the air conditioning control device 10, and the human body comfort virtual model is solved according to the human body characterization data of the target user by using the multi-island genetic algorithm to judge the comfort needs of the target user. The multi-island genetic algorithm can be used to solve the optimal solution of the target air conditioning control parameters to obtain the optimal target air conditioning control parameters, and then the air conditioning is accurately controlled according to the optimal target air conditioning control parameters, thereby meeting the comfort needs of the target user and improving the user's comfort.

[0084] In the description of this specification, any process or method description in a flowchart or otherwise described herein may be understood to represent a module, fragment or portion of code including one or more executable instructions for implementing the steps of a custom logical function or process, and the scope of the preferred embodiments of the present invention includes alternative implementations in which functions may not be performed in the order shown or discussed, including performing functions in a substantially simultaneous manner or in reverse order depending on the functions involved, which should be understood by technicians in the technical field to which the embodiments of the present invention belong.

[0085] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as an ordered list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by an instruction execution system, device or apparatus (such as a computer-based system, a system including a processor, or other system that can fetch instructions from an instruction execution system, device or apparatus and execute the instructions), or in combination with these instruction execution systems, devices or apparatuses. For the purpose of this specification, "computer-readable medium" can be any device that can contain, store, communicate, propagate or transmit a program for use by an instruction execution system, device or apparatus, or in combination with these instruction execution systems, devices or apparatuses. More specific examples of computer-readable media (a non-exhaustive list) include the following: an electrical connection with one or more wires (electronic device), a portable computer disk box (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), a fiber optic device, and a portable compact disk read-only memory (CDROM). In addition, the computer-readable medium may even be paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium and then editing, interpreting or processing in other suitable ways if necessary, and then stored in a computer memory.

[0086] It should be understood that the various parts of the present invention can be implemented by hardware, software, firmware or a combination thereof. In the above-mentioned embodiments, a plurality of steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or their combination: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0087] A person skilled in the art may understand that all or part of the steps in the method for implementing the above-mentioned embodiment may be completed by instructing related hardware through a program, and the program may be stored in a computer-readable storage medium, which, when executed, includes one or a combination of the steps of the method embodiment.

[0088] In addition, each functional unit in each embodiment of the present invention may be integrated into a processing module, or each unit may exist physically separately, or two or more units may be integrated into one module. The above-mentioned integrated module may be implemented in the form of hardware or in the form of a software functional module. If the integrated module is implemented in the form of a software functional module and sold or used as an independent product, it may also be stored in a computer-readable storage medium.

[0089] The storage medium mentioned above may be a read-only memory, a magnetic disk or an optical disk, etc. Although the embodiments of the present invention have been shown and described above, it can be understood that the above embodiments are exemplary and cannot be understood as limiting the present invention. A person of ordinary skill in the art may change, modify, replace and modify the above embodiments within the scope of the present invention.

[0090] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "illustrative embodiments", "examples", "specific examples", or "some examples" means that the specific features, structures, materials, or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example.

[0091] Although the embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the claims and their equivalents.

Claims

1. An air conditioning control method, characterized in that: include: Acquire human body representation data of target users; Using a multi-island genetic algorithm to solve the optimal value according to the human body characterization data to obtain the target air conditioning control parameters; controlling the operation of the air conditioner according to the target air conditioner control parameter; Wherein, the method of using a multi-island genetic algorithm to solve the optimal value according to the human body characterization data to obtain the target air conditioning control parameters includes: A multi-island genetic algorithm is used in combination with a human body comfort virtual model to solve the human body representation data, so as to obtain an optimal overall comfort index of the target user, wherein the human body comfort virtual model is a data model established based on environmental parameters, air conditioning control parameters, dummy human body state parameters and dummy human body comfort; Obtaining an air conditioning control parameter corresponding to the optimal overall comfort index in the human body comfort virtual model as the target air conditioning control parameter, wherein the overall comfort index is used to characterize human body comfort; According to the human body representation data, a multi-island genetic algorithm is used in combination with a human body comfort virtual model to solve the problem, so as to obtain the optimal overall comfort index of the target user, including: Determining the design variables of comfort according to the human body characterization data and the standard characterization data in the human body comfort virtual model, wherein the dummy human body state parameters include the standard characterization data; Obtaining an overall comfort index of the target user according to the design variables; An objective function is constructed with the minimum overall comfort index as the optimization target, and a first preset difference range and a second preset difference range are used as constraints of the design variables. The overall comfort index of the target user is iteratively optimized according to a multi-island genetic algorithm until the overall comfort index of the target user is within the limit range of the human comfort index, so as to obtain the optimal overall comfort index, wherein the minimum overall comfort index is used to characterize the optimal comfort of the human body.

2. The air conditioning control method according to claim 1, characterized in that: The human body characterization data includes the current average skin temperature and the current head temperature of the target user; The standard characterization data includes the standard skin temperature and the standard head temperature of the dummy; The design variables are a first difference between the current average skin temperature and the standard skin temperature, and a second difference between the current head temperature and the standard head temperature; The step of obtaining the overall comfort index of the target user according to the design variables comprises: An overall comfort index of the target user is obtained according to the first difference and the second difference.

3. The air conditioning control method according to claim 2, characterized in that: The overall comfort index includes a human body dynamic thermal sensation evaluation value.

4. The air conditioning control method according to claim 1, characterized in that: The human comfort index limit range is [-1, 1], and the first preset difference range is , and / or the second preset difference range is .

5. The air conditioning control method according to claim 1, characterized in that: The air conditioning control method further includes: The comfort prompt information is sent according to the overall comfort index of the target user.

6. An air conditioning control device, characterized in that: include: at least one processor; a memory communicatively coupled to at least one of the processors; Wherein, the memory stores a computer program that can be executed by at least one of the processors, and when at least one of the processors executes the computer program, the air conditioning control method according to any one of claims 1 to 5 is implemented.

7. A computer storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the air conditioning control method according to any one of claims 1 to 5 is implemented.

8. A vehicle, characterized in that: The vehicle comprises: A detection module, used to detect human body representation data of a target user; An air conditioner and an air conditioner control device, wherein the air conditioner control device is used to control the air conditioner according to the air conditioner control method according to any one of claims 1 to 5.

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