Intelligent air conditioning control methods, systems, equipment, storage media and products

Abstract

This invention discloses an intelligent air conditioning control method, system, device, storage medium, and product, relating to the field of intelligent air conditioning control technology. The method includes: acquiring in-vehicle temperature values, human body temperature values, and the temperature difference between the human body and the in-vehicle interior; obtaining an in-vehicle temperature distribution model using an interpolation algorithm based on the in-vehicle temperature values; calculating a thermal comfort model using Fanger's PMV model based on the human body temperature values ​​and the temperature difference values; obtaining a target temperature setpoint and a target fan speed based on the in-vehicle temperature distribution model and the thermal comfort model; and adjusting the in-vehicle temperature based on the target temperature setpoint and the target fan speed. This invention establishes a model based on the acquired temperature parameters and then achieves intelligent control of the air conditioner through intelligent calculation based on the model. Compared with existing technologies, this invention provides more precise control and stronger optimization capabilities for the air conditioner.

Description

Technical Field

[0001] This invention relates to the field of intelligent air conditioning control technology, and in particular to an intelligent air conditioning control method, system, device, storage medium, and product. Background Technology

[0002] Existing air conditioning systems in new energy vehicles cannot sense the temperature distribution inside the vehicle and the position of passengers in real time, thus failing to perform precise environmental control. They can only perform simple cooling or heating based on preset temperatures and cannot make intelligent adjustments according to the actual situation of passengers inside the vehicle. This results in high energy consumption of the air conditioning system and low passenger comfort, leading to a poor user experience.

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

[0004] The main objective of this invention is to provide an intelligent air conditioning adjustment method, system, device, storage medium, and product, aiming to solve the technical problem of the inability to intelligently adjust the air conditioning according to the actual situation of passengers in the vehicle.

[0005] To achieve the above objectives, the present invention proposes an intelligent air conditioning control method, the method comprising:

[0006] Acquire vehicle interior temperature, human body temperature, and the temperature difference between the human body and the vehicle interior;

[0007] Based on the in-vehicle temperature value, an in-vehicle temperature distribution model is obtained through an interpolation algorithm. Based on the human body temperature value and the temperature difference value, a thermal comfort model is calculated using Fanger's PMV model.

[0008] Based on the in-vehicle temperature distribution model and the thermal comfort model, the target temperature setpoint and target wind speed are obtained;

[0009] The vehicle interior temperature is adjusted based on the target temperature setting and the target wind speed.

[0010] In one embodiment, the step of obtaining the in-vehicle temperature distribution model based on the in-vehicle temperature value using an interpolation algorithm includes:

[0011] The vehicle interior temperature value is filtered and denoised, and the filtered and denoised vehicle interior temperature value is normalized to obtain temperature data.

[0012] The temperature data is interpolated using 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 based on the human body temperature value and the temperature difference value using Fanger's PMV model includes:

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

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

[0016] In one embodiment, the step of obtaining the target temperature setpoint and the target wind speed based on the in-vehicle temperature distribution model and the thermal comfort model includes:

[0017] Based on the in-vehicle temperature distribution model and the thermal comfort model, the PPD values ​​of various parts of the in-vehicle interior are obtained;

[0018] Based on the PPD values ​​of various parts inside the vehicle, the target temperature setting value and the wind speed at different locations are determined.

[0019] In one embodiment, after the step of adjusting the vehicle interior temperature according to the target temperature setpoint and the target wind speed, the method further includes:

[0020] The passenger's air conditioning operation data, the temperature data, and the human body PMV value are used as historical data.

[0021] The optimization model is trained based on the historical data to obtain historical training values;

[0022] When the historical training values ​​reach the preset training threshold, the air conditioning intelligent adjustment data is obtained.

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

[0024] Based on the intelligent air conditioning adjustment data, the adaptive adjustment of the entire intelligent air conditioning system is obtained through adaptive control.

[0025] Furthermore, to achieve the above objectives, the present invention also proposes an in-vehicle intelligent air conditioning system, the in-vehicle intelligent air conditioning system comprising:

[0026] The system comprises a detection module, a data processing module, a control module, and an 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] Furthermore, to achieve the above objectives, the present invention also proposes an intelligent air conditioning control device, the device comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor, the computer program being configured to implement the steps of the intelligent air conditioning control method described above.

[0029] In addition, to achieve the above objectives, the present invention also proposes a storage medium, which is a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, it implements the steps of the intelligent air conditioning adjustment method described above.

[0030] In addition, to achieve the above objectives, the present invention also provides a computer program product, which includes a computer program that, when executed by a processor, implements the steps of the intelligent air conditioning adjustment method described above.

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

[0032] This invention acquires in-vehicle temperature, human body temperature, and the temperature difference between the human body and the vehicle interior. Based on the in-vehicle temperature, an in-vehicle temperature distribution model is obtained using an interpolation algorithm. Based on the human body temperature and the temperature difference, a thermal comfort model is calculated using Fanger's PMV model. Based on the in-vehicle temperature distribution model and the thermal comfort model, a target temperature setpoint and a target fan speed are obtained. The in-vehicle temperature is then adjusted based on the target temperature setpoint and the target fan speed. Because this invention establishes a model based on the acquired temperature parameters and then uses intelligent calculations based on the model to achieve intelligent control of the air conditioner, compared with existing technologies, this invention provides more precise control and stronger optimization capabilities for the air conditioner. Attached Figure Description

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

[0034] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, for those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0035] Figure 1 This is a flowchart illustrating the first embodiment of the intelligent air conditioning control method of the present invention.

[0036] Figure 2This is a flowchart illustrating the second embodiment of the intelligent air conditioning adjustment method of the present invention.

[0037] Figure 3 This is a flowchart illustrating the third embodiment of the intelligent air conditioning control method of the present invention.

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

[0039] Figure 5 This is a schematic diagram of the equipment structure of the hardware operating environment involved in the intelligent air conditioning adjustment method in this embodiment of the invention.

[0040] The objectives, features, and advantages of this invention will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. Detailed Implementation

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

[0042] To better understand the technical solution of the present invention, a detailed description will be provided below in conjunction with the accompanying drawings and specific embodiments.

[0043] The main solution of this invention is as follows: obtain the in-vehicle temperature value, the human body temperature value, and the temperature difference between the human body and the in-vehicle temperature value; obtain the in-vehicle temperature distribution model through an interpolation algorithm based on the in-vehicle temperature value; calculate the thermal comfort model through Fanger's PMV model based on the human body temperature value and the temperature difference value; and obtain the target temperature setpoint and the target wind speed based on the in-vehicle temperature distribution model and the thermal comfort model.

[0044] The vehicle interior temperature is adjusted based on the target temperature setting and the target wind speed.

[0045] In this embodiment, for ease of description, the following description will focus on identifying the in-vehicle intelligent air conditioning system.

[0046] Currently, with increasing global emphasis on environmental protection, the development of new energy vehicles is accelerating. As a crucial component of new energy vehicles, the air conditioning system's performance directly impacts passenger comfort and overall vehicle energy consumption. Existing new energy vehicle air conditioning systems lack precise control, failing to perceive real-time temperature distribution and passenger location, thus hindering accurate environmental control. Their single-mode adjustment only provides simple cooling or heating based on preset temperatures, unable to intelligently adjust according to actual passenger conditions, resulting in high energy consumption and low passenger comfort. Furthermore, they lack self-optimization capabilities, failing to learn and optimize independently, and unable to automatically adjust based on user habits and environmental changes, leading to a poor user experience.

[0047] This invention provides a solution that acquires in-vehicle temperature, human body temperature, and the temperature difference between the human body and the vehicle interior. Based on the in-vehicle temperature, an in-vehicle temperature distribution model is obtained using an interpolation algorithm. Based on the human body temperature and the temperature difference, a thermal comfort model is calculated using Fanger's PMV model. Based on the in-vehicle temperature distribution model and the thermal comfort model, a target temperature setpoint and a target fan speed are obtained. Based on the target temperature setpoint and the target fan speed, the in-vehicle temperature is adjusted. Therefore, compared with existing technologies, this invention establishes a model based on the acquired temperature parameters and then achieves intelligent control of the air conditioner through intelligent calculation based on the model. Compared with existing technologies, this invention provides more precise control of the air conditioner and has stronger optimization capabilities.

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

[0049] Based on this, embodiments of the present invention provide an intelligent air conditioning adjustment method, referring to... Figure 1 , Figure 1 This is a flowchart illustrating the first embodiment of the intelligent air conditioning control method of the present invention.

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

[0051] Step S10: Obtain the vehicle interior temperature value, human body temperature value, and the temperature difference between the human body and the vehicle interior.

[0052] It should be noted that the above-mentioned in-vehicle temperature values ​​can be considered as temperature readings of the in-vehicle environment.

[0053] It should be noted that the above human body temperature values ​​may refer to the internal temperature of the human body;

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

[0055] In practice, temperature data of different areas inside the vehicle, human body temperature, and the temperature difference between the human body and the vehicle interior are obtained based on temperature sensors and infrared sensors installed in the vehicle.

[0056] Step S20: Obtain the in-vehicle temperature distribution model using an interpolation algorithm based on the in-vehicle temperature value; calculate the thermal comfort model using Fanger's PMV model based on the human body temperature value and the temperature difference value.

[0057] It should be noted that the above interpolation algorithm can be linear interpolation, polynomial interpolation, etc., and this embodiment does not limit it;

[0058] It should be noted that the above-mentioned in-vehicle temperature distribution model can be used to predict and analyze the temperature conditions inside a vehicle under different environmental conditions.

[0059] It should be noted that the Fanger's PMV model mentioned above can be used to evaluate 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 the human body in a specific thermal environment.

[0061] In the specific implementation, the temperature data from the sensors is normalized to identify and locate the passenger's position. Combining the data from each sensor, an interpolation algorithm is used to interpolate the temperature data, generating a smooth and accurate temperature distribution. The sensor data is then fused, and the fused data is used to construct an in-vehicle temperature distribution model using an interpolation algorithm. Finally, combined with the temperature distribution data, the Fanger's PMV model is used to calculate the PMV value for each passenger, generating a passenger thermal comfort model.

[0062] Step S30: Based on the in-vehicle temperature distribution model and the thermal comfort model, obtain the target temperature setpoint and the target wind speed.

[0063] It should be noted that the above target temperature setting can be the vehicle's air conditioning temperature setting.

[0064] It should be noted that the above wind speed can refer to the setting of the car's air conditioning.

[0065] Understandably, the target temperature setting and the wind speed mentioned above apply to both high and low temperatures.

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

[0067] Step S40: Adjust the vehicle interior temperature according to the target temperature setting and the target wind speed.

[0068] In practice, the vehicle interior temperature and passenger comfort are monitored in real time, and the target temperature setpoint and target wind speed are adjusted and controlled based on feedback data to provide a comfortable environment for passengers inside the vehicle.

[0069] This embodiment provides an intelligent air conditioning adjustment method. It acquires the vehicle interior temperature, human body temperature, and the temperature difference between the human body and the vehicle interior. Based on the vehicle interior temperature, an in-vehicle temperature distribution model is obtained using an interpolation algorithm. Based on the human body temperature and the temperature difference, a thermal comfort model is calculated using Fanger's PMV model. Based on the vehicle interior temperature distribution model and the thermal comfort model, a target temperature setpoint and a target fan speed are obtained. Based on the target temperature setpoint and the target fan speed, the vehicle interior temperature is adjusted. Compared with existing technologies, this invention provides more precise air conditioning control and stronger optimization capabilities.

[0070] Based on the first embodiment of the present invention, in the second embodiment of the present invention, the same or similar content as in the first embodiment can be referred to the above description, and will not be repeated hereafter. Based on this, please refer to... Figure 2 , Figure 2 This is a flowchart illustrating the second embodiment of the intelligent air conditioning adjustment method of the present invention.

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

[0072] Step S201: Filter and denoise the in-vehicle temperature value, and normalize the filtered and denoised in-vehicle temperature value to obtain temperature data.

[0073] It should be noted that the above normalization process can be Min-Max normalization or Z-Score normalization, and this embodiment does not limit it;

[0074] It should be noted that the temperature data mentioned above can be a digital signal of the vehicle interior temperature.

[0075] Understandably, the above normalization process is used to scale the data proportionally so that it falls into a small, specific range.

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

[0077] Step S202: The temperature data is interpolated 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 can be linear interpolation, polynomial interpolation, etc., and this embodiment does not limit it;

[0079] It should be noted that the above-mentioned in-vehicle temperature distribution model can be used to predict and analyze the temperature conditions inside a vehicle under different environmental conditions.

[0080] In the specific implementation, an interpolation algorithm is used to interpolate the above temperature data 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 contents that are the same as or similar to those in the first embodiment described above can be referred to the above description, and will not be repeated hereafter. Based on this, please refer to... Figure 3 , Figure 3 This is a flowchart illustrating the third embodiment of the intelligent air conditioning adjustment method of the present invention.

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

[0083] Step S203: The human body temperature value and the temperature difference value are fused to obtain the human body PMV value.

[0084] It should be noted that the above-mentioned human PMV value can be used as an index to predict the average thermal sensation of a population in a specific environment.

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

[0086] Step S204: Calculate the human body PMV value 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 to evaluate 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 the human body in a specific thermal environment.

[0089] In the specific implementation, the temperature data mentioned above is combined with Fanger's PMV model to calculate the above-mentioned human body PMV value for each passenger, thereby generating the above-mentioned thermal comfort model for passengers.

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

[0091] Step S301: Based on the in-vehicle temperature distribution model and the thermal comfort model, obtain the PPD values ​​of various parts of the vehicle interior.

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

[0093] In the 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 for each location is calculated.

[0094] Step S302: Determine the target temperature setting value and the wind speed at different locations based on the PPD values ​​of each part inside the vehicle.

[0095] It should be noted that the above target temperature setting can be the vehicle's air conditioning temperature setting.

[0096] It should be noted that the above wind speed can refer to the setting of the car's air conditioning.

[0097] Understandably, the target temperature setting and the wind speed mentioned above apply to both high and low temperatures.

[0098] In practical implementation, the temperature control target for different locations is determined based on the aforementioned PPD value. The target temperature setpoints and fan speeds for each air outlet of the air conditioning system are then calculated using the above methods.

[0099] In one possible implementation, steps S40 may be followed by steps S41' to S43':

[0100] Step S41': The passenger's air conditioning operation data, the temperature data, and the human body PMV value are used as historical data.

[0101] It should be noted that the above air conditioning operation data can be data from passengers manually operating the air conditioning settings.

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

[0103] Understandably, the aforementioned historical data is stored in local or cloud databases.

[0104] In its implementation, the aforementioned control module monitors and collects the passenger's air conditioning operation data, temperature data, and human body PMV value in real time. This data is then filtered as historical data to remove outliers and noise. Key feature values, such as temperature change trends and user-set temperatures, are extracted from the remaining samples, and the historical data is stored in the system's memory.

[0105] Step S42': Train and optimize the model based on 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 it;

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

[0108] In practice, the optimized model is continuously trained based on the historical data, and the training results are continuously accumulated to obtain the historical training values.

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

[0110] It should be noted that the preset training threshold mentioned above can be the cumulative threshold of the historical data mentioned above.

[0111] It should be noted that the aforementioned intelligent air conditioning adjustment data can be collected and analyzed based on various data, including in-vehicle environmental conditions and user preferences.

[0112] In practice, when the historical training values ​​reach the preset training threshold, it indicates that the data collected and analyzed by the system on the in-vehicle environmental conditions and user preferences have met the conditions for the in-vehicle intelligent air conditioning system to self-adjust, and at this time the intelligent air conditioning adjustment data is obtained.

[0113] In one possible implementation, step S43' may be followed by step S431':

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

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

[0116] In practice, based on the aforementioned intelligent air conditioning adjustment data, the adaptive control is obtained to achieve the adaptive adjustment of the entire intelligent air conditioning system. At this time, the aforementioned vehicle intelligent air conditioning system will automatically adjust the aforementioned target temperature setting and the aforementioned target wind speed according to the passenger's usage habits, and automatically optimize and learn based on the passenger's changes.

[0117] It should be noted that the above examples are only for understanding the present invention and do not constitute a limitation on the intelligent air conditioning adjustment method of the present invention. Any simple modifications based on this technical concept are within the protection scope of the present invention.

[0118] This invention also provides an in-vehicle intelligent air conditioning system, please refer to... Figure 4 , Figure 4 This is a schematic diagram of the modular structure of an in-vehicle intelligent air conditioning system according to an embodiment of the present invention. The in-vehicle intelligent air conditioning system includes:

[0119] The system comprises a detection module, a data processing module, a control module, and an 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 control 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 to enable the at least one processor to perform the intelligent air conditioning control method in the above embodiment 1.

[0122] The following is for reference. Figure 5 The diagram illustrates a structural schematic suitable for implementing an intelligent air conditioning control device according to embodiments of the present invention. The intelligent air conditioning control device in these embodiments may include, but is not limited to, mobile terminals such as mobile phones, laptops, digital radio receivers, PDAs (Personal Digital Assistants), PADs (Portable Application Description), PMPs (Portable Media Players), and in-vehicle terminals (e.g., in-vehicle navigation terminals), as well as fixed terminals such as digital TVs and desktop computers. Figure 5 The air conditioning intelligent control device shown is merely an example and should not impose any limitations on the functionality and scope of use of the embodiments of the present invention.

[0123] like Figure 5As shown, the intelligent air conditioning control device may include a processing unit 1001 (e.g., a central processing unit, a graphics processing unit, etc.), which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) 1002 or a program loaded from a storage device 1003 into a random access memory (RAM) 1004. The RAM 1004 also stores various programs and data required for the operation of the intelligent air conditioning control device. The processing unit 1001, ROM 1002, and RAM 1004 are interconnected via a bus 1005. An input / output (I / O) interface 1006 is also connected to the bus. Typically, the following systems can be connected to the I / O interface 1006: input devices 1007 including, for example, a touchscreen, touchpad, keyboard, mouse, image sensor, microphone, accelerometer, gyroscope, etc.; output devices 1008 including, for example, a liquid crystal display (LCD), speaker, vibrator, etc.; storage devices 1003 including, for example, magnetic tape, hard disk, etc.; and communication devices 1009. The communication device 1009 allows the intelligent air conditioning control device to communicate wirelessly or wiredly with other devices to exchange data. Although the figure shows intelligent air conditioning control devices with various systems, it should be understood that it is not required to implement or possess all of the systems shown. More or fewer systems may be implemented alternatively.

[0124] In particular, according to the embodiments disclosed in this invention, the processes described above with reference to the flowcharts can be implemented as computer software programs. For example, embodiments of this invention include a computer program product comprising a computer program carried on a computer-readable medium, the computer program containing program code for performing the methods shown in the flowcharts. In such embodiments, the computer program can be downloaded and installed from a network via a communication device, or installed from storage device 1003, or installed from ROM 1002. When the computer program is executed by processing device 1001, it performs the functions defined in the methods of the embodiments disclosed in this invention.

[0125] The intelligent air conditioning control device provided by this invention, employing the intelligent air conditioning control method described in the above embodiments, can solve the technical problem of intelligent air conditioning control. Compared with the prior art, the beneficial effects of the intelligent air conditioning control device provided by this invention are the same as those of the intelligent air conditioning control method provided in the above embodiments, and other technical features of this intelligent air conditioning control device are the same as those disclosed in the method of the previous embodiment, and will not be repeated here.

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

[0127] The above description is merely a specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the technical scope disclosed in the present invention should be included within the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be determined by the scope of the claims.

[0128] The present invention provides a computer-readable storage medium having computer-readable program instructions (i.e., computer programs) stored thereon, the computer-readable program instructions being used to execute the intelligent air conditioning adjustment method in the above embodiments.

[0129] The computer-readable storage medium provided by this invention may be, for example, a USB flash drive, but is not limited to, electrical, magnetic, optical, electromagnetic, infrared, or semiconductor systems, devices, or any combination thereof. More specific examples of computer-readable storage media may include, but are not limited to: electrical connections having one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fibers, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination thereof. In this embodiment, the computer-readable storage medium may be any tangible medium containing or storing a program that can be used by or in conjunction 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 aforementioned computer-readable storage medium may be included in the intelligent air conditioning control device; or it may exist independently and not be assembled into the intelligent air conditioning control device.

[0131] The aforementioned computer-readable storage medium carries one or more programs that, when executed by the intelligent air conditioning control device, cause the intelligent air conditioning control device to: acquire in-vehicle temperature values, human body temperature values, and temperature difference values ​​between the human body and the in-vehicle interior; obtain an in-vehicle temperature distribution model based on the in-vehicle temperature values ​​using an interpolation algorithm; calculate a thermal comfort model based on the human body temperature values ​​and the temperature difference values ​​using Fanger's PMV model; obtain a target temperature setpoint and a target wind speed based on the in-vehicle temperature distribution model and the thermal comfort model; and adjust the in-vehicle temperature based on the target temperature setpoint and the target wind speed.

[0132] Computer program code for performing the operations of this invention can be written in one or more programming languages ​​or a combination thereof. These programming languages ​​include object-oriented programming languages—such as Java, Smalltalk, and C++—and conventional procedural programming languages—such as the "C" language or similar programming languages. The program code can be executed entirely on the user's computer, partially on the user's computer, as a standalone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving remote computers, the remote computer can be connected to the user's computer via any type of network—including a Local Area Network (LAN) or a Wide Area Network (WAN)—or can be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0133] The flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of systems, methods, and computer program products according to various embodiments of the present invention. In this regard, each block in a flowchart or block diagram may represent a module, segment, or portion of code containing one or more executable instructions for implementing a specified logical function. It should also be noted that in some alternative implementations, the functions indicated in the blocks may occur in a different order than those indicated in the drawings. For example, two consecutively indicated blocks may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. It should also be noted that each block in the block diagrams and / or flowcharts, and combinations of blocks in the block diagrams and / or flowcharts, can be implemented using a dedicated hardware-based system that performs the specified function or operation, or using a combination of dedicated hardware and computer instructions.

[0134] The modules described in the embodiments of the present invention can be implemented in software or hardware. The names of the modules do not necessarily limit the specific unit itself.

[0135] The readable storage medium provided by this invention is a computer-readable storage medium that stores computer-readable program instructions (i.e., a computer program) for executing the above-described intelligent air conditioning adjustment method, thereby solving the technical problem of intelligent air conditioning adjustment. Compared with the prior art, the beneficial effects of the computer-readable storage medium provided by this invention are the same as those of the intelligent air conditioning adjustment method provided in the above embodiments, and will not be repeated here.

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

[0137] The computer program product provided by this invention can solve the technical problem of intelligent air conditioning control. Compared with the prior art, the beneficial effects of the computer program product provided by this invention are the same as those of the intelligent air conditioning control method provided in the above embodiments, and will not be repeated here.

[0138] The above description is only a part of the embodiments of the present invention and does not limit the patent scope of the present invention. All equivalent structural transformations made under the technical concept of the present invention using the contents of the present invention specification and drawings, or direct / indirect applications in other related technical fields, are included within the patent protection scope of the present invention.

Claims

1. A method for intelligent adjustment of an air conditioner, characterized in that, The intelligent air conditioning adjustment method is applied to an in-vehicle intelligent air conditioning system, and the intelligent air conditioning adjustment method includes: Acquire vehicle interior temperature, human body temperature, and the temperature difference between the human body and the vehicle interior; Based on the in-vehicle temperature value, an in-vehicle temperature distribution model is obtained through an interpolation algorithm. Based on the human body temperature value and the temperature difference value, a thermal comfort model is calculated using Fanger's PMV model. Based on the in-vehicle temperature distribution model and the thermal comfort model, the target temperature setpoint and target wind speed are obtained; The vehicle interior temperature is adjusted based on the target temperature setting and the target wind speed.

2. The intelligent air conditioning adjustment method as described in claim 1, characterized in that, The step of obtaining the in-vehicle temperature distribution model based on the in-vehicle temperature value using an interpolation algorithm includes: The vehicle interior temperature value is filtered and denoised, and the filtered and denoised vehicle interior temperature value is normalized to obtain temperature data. The temperature data is interpolated using the interpolation algorithm to generate a smooth and accurate in-vehicle temperature distribution model.

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

4. The intelligent air conditioning adjustment method as described in claim 3, characterized in that, The step of obtaining the target temperature setpoint and target wind speed based on the in-vehicle temperature distribution model and the thermal comfort model includes: Based on the in-vehicle temperature distribution model and the thermal comfort model, the PPD values ​​of various parts of the in-vehicle interior are obtained; Based on the PPD values ​​of various parts inside the vehicle, the target temperature setting value and the wind speed at different locations are determined.

5. The intelligent air conditioning adjustment method as described in claim 4, characterized in that, After the step of adjusting the vehicle interior temperature according to the target temperature setting and the target wind speed, the following steps are included: The passenger's air conditioning operation data, the temperature data, and the human body PMV value are used as historical data. The optimized model is trained based on the historical data to obtain historical training values; When the historical training values ​​reach the preset training threshold, the air conditioning intelligent adjustment data is obtained.

6. The intelligent air conditioning adjustment method as described in claim 5, characterized in that, After the step of obtaining intelligent air conditioning adjustment data when the historical training value reaches a preset training threshold, the following steps are included: Based on the intelligent air conditioning adjustment data, the adaptive adjustment of the entire intelligent air conditioning system is obtained through adaptive control.

7. A vehicle-mounted intelligent air conditioning system, characterized in that, The in-vehicle intelligent air conditioning system includes: The detection module is used to acquire the vehicle interior temperature value, human body temperature value, and the temperature difference between the human body and the vehicle interior. The data processing module is used to obtain an in-vehicle temperature distribution model based on the in-vehicle temperature value through an interpolation algorithm, and to calculate a thermal comfort model based on the human body temperature value and the temperature difference value through Fanger's PMV model. The control module is used to obtain the target temperature setpoint and the target wind speed based on the in-vehicle temperature distribution model and the thermal comfort model. The execution module adjusts the vehicle interior temperature based on the target temperature setting and the target wind speed.

8. An intelligent air conditioning control device, characterized in that, The device includes: a memory, a processor, and a computer program stored in the memory and executable on the processor, the computer program being configured to implement the steps of the air conditioning intelligent control method as described in 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, it implements the steps of the air conditioning intelligent adjustment method as described in any one of claims 1 to 6.

10. A computer program product, characterized in that, The computer program product includes a computer program that, when executed by a processor, implements the steps of the air conditioning intelligent adjustment method as described in any one of claims 1 to 6.

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