Automatic adjusting method, device and equipment for passenger car air conditioner and storage medium

Abstract

The invention discloses an automatic adjusting method, device and equipment for a passenger car air conditioner and a storage medium. The automatic adjusting method comprises the steps that the real-time temperature outside a car and the real-time temperature inside the car are collected; acquiring an in-vehicle global image, and performing personnel target detection based on the in-vehicle global image to obtain the number of vehicle-mounted personnel and distribution of the vehicle-mounted personnel; inputting the in-vehicle real-time temperature, the in-vehicle real-time temperature, the number of vehicle-mounted personnel, the vehicle type and the predicted travel duration into a somatosensory comfort temperature model, and predicting a somatosensory comfort temperature value; according to the real-time temperature in the vehicle, the predicted somatosensory comfort temperature value is subjected to interval processing, and a comfort temperature range interval is formed; inputting the comfortable temperature range interval, the vehicle-mounted personnel number and the vehicle-mounted personnel distribution into an air conditioner seat distribution model, and predicting theoretical regulation and control information of the top of each seat; and controlling an air conditioning port in the top of each seat to execute corresponding operation. The whole control process of the air conditioner can be more intelligent and reasonable.

Description

Technical Field

[0001] The invention belongs to the technical field of vehicle-mounted air conditioning, and in particular relates to an automatic adjustment method, device, equipment and storage medium for a passenger car air conditioner. Background Art

[0002] With the rapid development of the automobile industry, people have higher and higher requirements on the performance of automobile air conditioners and the comfort inside the car, especially for buses, as there are many and diverse passengers on board.

[0003] Existing passenger car air conditioning adjustment relies on manual adjustment by the driver to adjust the temperature inside the car to an appropriate temperature value. However, frequent adjustment of the set temperature will greatly affect the driver's driving safety and increase the vehicle's fuel consumption. Summary of the invention

[0004] In order to solve the above technical problems, the present invention proposes an automatic adjustment method, device, equipment and storage medium for a passenger car air conditioner.

[0005] In order to achieve the above object, the technical solution of the present invention is as follows:

[0006] In a first aspect, the present invention discloses an automatic adjustment method for a passenger car air conditioner, comprising:

[0007] Step S1: collecting the real-time temperature outside the vehicle and the real-time temperature inside the vehicle;

[0008] Step S2: collecting a global image inside the vehicle, and performing personnel target detection based on the global image inside the vehicle to obtain the number of people on board and the distribution of people on board;

[0009] Step S3: inputting the real-time temperature inside the vehicle, the real-time temperature inside the vehicle, the number of passengers in the vehicle, the vehicle type, and the estimated travel time into a somatic comfort temperature model, wherein the somatic comfort temperature model is used to predict one of the somatic comfort temperature values ​​T1 under heating, T2 under cooling, and T3 under ventilation according to the input data;

[0010] Step S4: according to the real-time temperature in the vehicle, the predicted comfortable temperature value is divided into intervals to form a comfortable temperature range interval;

[0011] Step S5: inputting the comfortable temperature range, the number of passengers on board, and the distribution of passengers on board into the air-conditioning seat distribution model, and the air-conditioning seat distribution model is used to predict the theoretical control information of the top of each seat according to the input data;

[0012] Step S6: Based on the prediction result of step S5, the air conditioning vents on the top of each seat are controlled to perform corresponding operations.

[0013] Based on the above technical solution, the following improvements can be made:

[0014] As a preferred solution, step S2 includes:

[0015] Step S2.1: collecting local images of the interior of the vehicle from different viewing angles;

[0016] Step S2.2: preprocessing all the local images inside the vehicle to obtain a global image inside the vehicle;

[0017] Step S2.3: Performing personnel target detection based on the global image inside the vehicle to obtain the number of people on board and the distribution of people on board;

[0018] Step S2.4: Based on the distribution of people in the vehicle, the local image of the interior of the vehicle under each viewing angle is input into the target category detection model. The target category detection model is used to output each person category according to the input data. The person categories are: children, elderly, adult women, and adult men.

[0019] As a preferred solution, step S5 includes:

[0020] The comfortable temperature range, the number of occupants in the vehicle, the distribution of occupants in the vehicle, and the category of each occupant are input into the air-conditioning seat distribution model. The air-conditioning seat distribution model is used to predict the theoretical control information at the top of each seat based on the input data. The control information includes one or more of: air-conditioning vent open, air-conditioning vent closed, wind force, and wind speed.

[0021] As a preferred solution, the automatic adjustment method further includes:

[0022] Step S7: Calculate the estimated remaining travel time according to the vehicle's running speed;

[0023] When the estimated remaining travel time is lower than the threshold, the comfortable temperature range and the real-time control information of each seat top are input into the energy-saving temperature control model, and the energy-saving temperature control model is used to predict the energy-saving control information of each seat top based on the input data;

[0024] Step S8: Based on the prediction result of step S7, the air conditioning vents on the top of each seat are controlled to perform corresponding operations.

[0025] In a second aspect, the present invention discloses an automatic adjustment device for a passenger car air conditioner, comprising:

[0026] Temperature collection module, used to collect real-time temperature outside the vehicle and real-time temperature inside the vehicle;

[0027] An image processing module is used to collect a global image inside the vehicle, and perform personnel target detection based on the global image inside the vehicle to obtain the number of people on board and their distribution;

[0028] A sensory comfort temperature prediction module is used to input the real-time temperature inside the vehicle, the real-time temperature inside the vehicle, the number of people on board, the vehicle type, and the estimated travel time into a sensory comfort temperature model. The sensory comfort temperature model is used to predict one of the sensory comfort temperature values ​​T1 under heating, T2 under cooling, and T3 under ventilation based on the input data;

[0029] The intervalization module is used to intervalize the predicted comfortable temperature value according to the real-time temperature in the car to form a comfortable temperature range interval;

[0030] The air-conditioning seat distribution prediction module is used to input the comfortable temperature range, the number of passengers on board, and the distribution of passengers on board into the air-conditioning seat distribution model. The air-conditioning seat distribution model is used to predict the theoretical control information of the top of each seat based on the input data.

[0031] The control module is used to control the air-conditioning outlet on the top of each seat to perform corresponding operations according to the prediction results of the air-conditioning seat distribution prediction module.

[0032] As a preferred solution, the image processing module includes:

[0033] An image acquisition unit, used for acquiring local images of the interior of the vehicle at different viewing angles;

[0034] A preprocessing unit, used for performing preprocessing operations on all the local images inside the vehicle to obtain a global image inside the vehicle;

[0035] The target detection unit is used to detect people based on the global image in the vehicle and obtain the number and distribution of people in the vehicle;

[0036] The target category detection unit is used to input the local image of the interior of the vehicle from each perspective into the target category detection model based on the distribution of people in the vehicle. The target category detection model is used to output each person category according to the input data. The person categories are: children, elderly, adult women, and adult men.

[0037] As a preferred solution, the air-conditioning seat distribution prediction module is used to input the comfortable temperature range, the number of people on board, the distribution of people on board, and the category of each person into the air-conditioning seat distribution model. The air-conditioning seat distribution model is used to predict the theoretical control information at the top of each seat based on the input data. The control information includes one or more of: air-conditioning outlet open, air-conditioning outlet closed, wind force, and wind speed.

[0038] As a preferred solution, the automatic adjustment device also includes:

[0039] Energy-saving temperature control module, used to calculate the estimated remaining travel time based on the vehicle's running speed;

[0040] When the estimated remaining travel time is lower than the threshold, the comfortable temperature range and the real-time control information of each seat top are input into the energy-saving temperature control model, and the energy-saving temperature control model is used to predict the energy-saving control information of each seat top based on the input data;

[0041] The control module can control the air-conditioning vents on the top of each seat to perform corresponding operations based on the prediction results of the energy-saving temperature control module.

[0042] In a third aspect, the present invention discloses a computing device, comprising:

[0043] one or more processors;

[0044] Memory;

[0045] And one or more programs, wherein the one or more programs are stored in the memory and are configured to be executed by one or more processors, and the one or more programs include instructions for any of the above-disclosed automatic adjustment methods for passenger car air conditioners.

[0046] In a fourth aspect, the present invention discloses a storage medium storing one or more computer-readable programs, wherein the one or more programs include instructions suitable for being loaded by a memory and executing any of the above-disclosed automatic adjustment methods for passenger car air conditioners.

[0047] The present invention discloses an automatic adjustment method, device, equipment and storage medium for a passenger car air conditioner, which has the following beneficial effects:

[0048] The present invention establishes a somatic comfortable temperature model. Before driving, the real-time temperature inside the car, the real-time temperature inside the car, the number of people on board, the vehicle type, and the expected journey duration are input into the somatic comfortable temperature model to predict the somatic comfortable temperature values ​​under different air-conditioning control types, providing a basis for subsequent air-conditioning control.

[0049] Second, the present invention establishes an air-conditioning seat distribution model. Before driving, the comfortable temperature range, the number of passengers in the vehicle, and the distribution of passengers in the vehicle are input into the air-conditioning seat distribution model to predict the theoretical control information at the top of each seat so that the temperature inside the vehicle can be reasonably controlled.

[0050] Third, the present invention establishes an energy-saving temperature control model. Before the end of driving, the comfortable temperature range and the real-time control information of the top of each seat are input into the energy-saving temperature control model, and the energy-saving control information of the top of each seat is predicted, making the entire control process of the air conditioner more energy-saving and environmentally friendly. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for use in the embodiments are briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present invention and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without creative work.

[0052] Figure 1 The present invention is a flowchart of a method for automatically adjusting a passenger car air conditioner provided by an embodiment of the present invention.

[0053] Figure 2 A block diagram of an automatic adjustment device for a passenger car air conditioner provided in an embodiment of the present invention.

[0054] Figure 3 A block diagram of a computing device provided for an embodiment of the present invention. DETAILED DESCRIPTION

[0055] The preferred embodiments of the present invention will be described in detail below with reference to the accompanying drawings.

[0056] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0057] The expression of “comprising” an element is an “open” expression, which merely means that a corresponding component or step exists, and should not be interpreted as excluding additional components or steps.

[0058] In order to achieve the purpose of the present invention, some embodiments of the automatic adjustment method of the passenger car air conditioner include: Figure 1 As shown, the automatic adjustment method includes:

[0059] Step S101: collecting the real-time temperature outside the vehicle and the real-time temperature inside the vehicle;

[0060] Step S102: collecting a global image inside the vehicle, and performing personnel target detection based on the global image inside the vehicle to obtain the number of people on board and the distribution of people on board;

[0061] Step S103: input the real-time temperature inside the vehicle, the real-time temperature inside the vehicle, the number of passengers on board, the vehicle type (such as the length of the bus, the height of the bus, whether the bus is single-layer or double-layer, the number of passengers, etc.), and the estimated journey time into a somatic comfort temperature model, and the somatic comfort temperature model is used to predict one of the somatic comfort temperature value T1 under heating, the somatic comfort temperature value T2 under cooling, and the somatic comfort temperature value T3 under ventilation according to the input data;

[0062] Step S104: according to the real-time temperature in the vehicle, the predicted comfortable temperature value is divided into intervals to form a comfortable temperature range interval;

[0063] For example, when the difference between the real-time temperature in the vehicle and the perceived comfortable temperature value is lower than the threshold, the comfortable temperature range can be smaller;

[0064] When the difference between the real-time temperature inside and the perceived comfortable temperature value is higher than the threshold, the comfortable temperature range can be larger;

[0065] Step S105: inputting the comfortable temperature range, the number of passengers on board, and the distribution of passengers on board into an air-conditioning seat distribution model, where the air-conditioning seat distribution model is used to predict theoretical control information at the top of each seat based on the input data;

[0066] Step S106: Based on the prediction result of step S105, the air conditioning vents on the top of each seat are controlled to perform corresponding operations.

[0067] Further, the above step S102 includes:

[0068] Step S102.1: collecting local images of the interior of the vehicle from different viewing angles;

[0069] Step S102.2: pre-processing all the local images inside the vehicle to obtain a global image inside the vehicle;

[0070] Step S102.3: Performing personnel target detection based on the global image inside the vehicle to obtain the number of people on board and the distribution of people on board;

[0071] Step S102.4: Based on the distribution of people in the vehicle, the local image of the vehicle interior at each viewing angle is input into the target category detection model. The target category detection model is used to output each person category according to the input data. The person categories are: children, elderly, adult women, and adult men.

[0072] It is worth noting that different types of people have different requirements for air conditioning. For example, children and the elderly should avoid direct wind (if: the air conditioning vents around children and the elderly are open, the air conditioning vents above their heads are directly set to closed; when the air conditioning vents around children and the elderly are closed, the air conditioning vents above their heads can be set to open with a lower wind speed), the wind speed for adult women can be lower, and the wind speed for adult men can be higher.

[0073] Further, step S105 includes:

[0074] The comfortable temperature range, the number of occupants in the vehicle, the distribution of occupants in the vehicle, and the category of each occupant are input into the air-conditioning seat distribution model. The air-conditioning seat distribution model is used to predict the theoretical control information at the top of each seat based on the input data. The control information includes: air-conditioning vent open, air-conditioning vent closed, air-conditioning control type (specifically: heating, cooling or ventilation), temperature control value, wind force, wind speed, or one or more of the following.

[0075] Furthermore, in some other embodiments, the automatic adjustment method further includes:

[0076] Step S7: Calculate the estimated remaining travel time according to the vehicle's running speed;

[0077] When the estimated remaining travel time is lower than the threshold, the comfortable temperature range and the real-time control information of each seat top (real-time control information is used here because the passengers can adjust the air conditioning vents on the top of the seat according to their real-time requirements while driving) are input into the energy-saving temperature control model. The energy-saving temperature control model is used to predict the energy-saving control information of each seat top based on the input data.

[0078] Step S8: Based on the prediction result of step S7, the air conditioning vents on the top of each seat are controlled to perform corresponding operations.

[0079] The present invention performs energy-saving regulation through an energy-saving temperature control model, which is more energy-saving and environmentally friendly.

[0080] It is worth noting that the models involved in the present invention need to be trained and tested on the model training end before being deployed on the vehicle end for use. The training and testing of the model are common knowledge in the field and will not be elaborated here.

[0081] In addition, in some other embodiments, Figure 2 As shown, the present invention discloses an automatic regulating device for a passenger car air conditioner, comprising:

[0082] The temperature collection module 201 is used to collect the real-time temperature outside the vehicle and the real-time temperature inside the vehicle;

[0083] The image processing module 202 is used to collect the global image inside the vehicle, and perform personnel target detection based on the global image inside the vehicle to obtain the number of people on board and the distribution of people on board;

[0084] The sensory comfortable temperature prediction module 203 is used to input the real-time temperature inside the vehicle, the real-time temperature inside the vehicle, the number of passengers in the vehicle, the vehicle type, and the estimated travel time into the sensory comfortable temperature model. The sensory comfortable temperature model is used to predict one of the sensory comfortable temperature value T1 under heating, the sensory comfortable temperature value T2 under cooling, and the sensory comfortable temperature value T3 under ventilation according to the input data;

[0085] The intervalization module 204 is used to intervalize the predicted comfortable temperature value according to the real-time temperature in the vehicle to form a comfortable temperature range interval;

[0086] The air-conditioning seat distribution prediction module 205 is used to input the comfortable temperature range, the number of passengers on board, and the distribution of passengers on board into the air-conditioning seat distribution model, and the air-conditioning seat distribution model is used to predict the theoretical control information of the top of each seat according to the input data;

[0087] The control module 206 is used to control the air-conditioning outlet on the top of each seat to perform corresponding operations according to the prediction result of the air-conditioning seat distribution prediction module.

[0088] Furthermore, the image processing module includes:

[0089] An image acquisition unit, used for acquiring local images of the interior of the vehicle at different viewing angles;

[0090] A preprocessing unit, used for performing preprocessing operations on all the local images inside the vehicle to obtain a global image inside the vehicle;

[0091] The target detection unit is used to detect people based on the global image in the vehicle and obtain the number and distribution of people in the vehicle;

[0092] The target category detection unit is used to input the local image of the interior of the vehicle from each perspective into the target category detection model based on the distribution of people in the vehicle. The target category detection model is used to output each person category according to the input data. The person categories are: children, elderly, adult women, and adult men.

[0093] Furthermore, the air-conditioning seat distribution prediction module is used to input the comfortable temperature range, the number of people on board, the distribution of people on board, and the category of each person into the air-conditioning seat distribution model. The air-conditioning seat distribution model is used to predict the theoretical control information at the top of each seat based on the input data. The control information includes one or more of: air-conditioning outlet open, air-conditioning outlet closed, wind force, and wind speed.

[0094] Furthermore, the automatic adjustment device also includes:

[0095] Energy-saving temperature control module, used to calculate the estimated remaining travel time based on the vehicle's running speed;

[0096] When the estimated remaining travel time is lower than the threshold, the comfortable temperature range and the real-time control information of each seat top are input into the energy-saving temperature control model, and the energy-saving temperature control model is used to predict the energy-saving control information of each seat top based on the input data;

[0097] The control module can control the air-conditioning vents on the top of each seat to perform corresponding operations based on the prediction results of the energy-saving temperature control module.

[0098] Furthermore, it should be noted that: when the automatic regulating device for the bus air conditioner provided in the above embodiment determines the dominant vertex, only the division of the above-mentioned functional modules is used as an example. In actual applications, the above-mentioned functions can be assigned to different functional modules as needed, that is, the internal structure of the automatic regulating device for the bus air conditioner is divided into different functional modules to complete all or part of the functions described above.

[0099] In addition, the embodiments of the automatic adjustment device for the passenger car air conditioner and the automatic adjustment method for the passenger car air conditioner provided in the above embodiments belong to the same concept, and their specific implementation processes are detailed in the method embodiments and will not be repeated here.

[0100] In addition, in some other embodiments, Figure 3 As shown, the present invention also discloses a computing device, including:

[0101] One or more processors 301;

[0102] Memory 302;

[0103] And one or more programs, wherein the one or more programs are stored in the memory 302 and are configured to be executed by one or more processors 301, and the one or more programs include instructions for the automatic adjustment method of the passenger car air conditioner disclosed in the above embodiment.

[0104] The processor 301 may include one or more processing cores, such as a 4-core processor, an 8-core processor, etc. The processor 301 may be implemented in at least one hardware form of DSP (Digital Signal Processing), FPGA (Field-Programmable Gate Array), and PLA (Programmable Logic Array). The processor 301 may also include a main processor and a coprocessor. The main processor is a processor for processing data in the awake state, also known as a CPU (Central Processing Unit); the coprocessor is a low-power processor for processing data in the standby state. In some embodiments, the processor 301 may be integrated with a GPU (Graphics Processing Unit), which is responsible for rendering and drawing the content to be displayed on the display screen. In some embodiments, the processor 301 may also include an AI (Artificial Intelligence) processor, which is used to process computing operations related to machine learning.

[0105] The memory 302 may include one or more computer-readable storage media, which may be non-transitory. The memory 302 may also include a high-speed random access memory, and a non-volatile memory, such as one or more disk storage devices, flash memory storage devices. In some embodiments, the non-transitory computer-readable storage medium in the memory 302 is used to store at least one instruction, which is used to be executed by the processor 301 to implement the automatic adjustment method of the passenger car air conditioner provided by the method embodiment of the present invention.

[0106] In addition, the computing device may also optionally include: a peripheral device interface and at least one peripheral device. The processor 301, the memory 302 and the peripheral device interface may be connected via a bus or a signal line. Each peripheral device may be connected to the peripheral device interface via a bus, a signal line or a circuit board. Schematically, the peripheral devices include but are not limited to: a radio frequency circuit, a touch display screen, an audio circuit, and a power supply.

[0107] Of course, the computing device may also include fewer or more components, which is not limited in this embodiment.

[0108] In addition, in some other embodiments, the present invention also discloses a storage medium, which stores one or more computer-readable programs, and the one or more programs include instructions, and the instructions are suitable for being loaded by a memory and executing the automatic adjustment method of the bus air conditioner disclosed in the above embodiment.

[0109] The present invention discloses an automatic adjustment method, device, equipment and storage medium for a passenger car air conditioner, which has the following beneficial effects:

[0110] The present invention establishes a somatic comfortable temperature model. Before driving, the real-time temperature inside the car, the real-time temperature inside the car, the number of people on board, the vehicle type, and the expected journey duration are input into the somatic comfortable temperature model to predict the somatic comfortable temperature values ​​under different air-conditioning control types, providing a basis for subsequent air-conditioning control.

[0111] Second, the present invention establishes an air-conditioning seat distribution model. Before driving, the comfortable temperature range, the number of passengers in the vehicle, and the distribution of passengers in the vehicle are input into the air-conditioning seat distribution model to predict the theoretical control information at the top of each seat so that the temperature inside the vehicle can be reasonably controlled.

[0112] Third, the present invention establishes an energy-saving temperature control model. Before the end of driving, the comfortable temperature range and the real-time control information of the top of each seat are input into the energy-saving temperature control model, and the energy-saving control information of the top of each seat is predicted, making the entire control process of the air conditioner more energy-saving and environmentally friendly.

[0113] The above shows and describes the basic principles and main features of the present invention and the advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The above embodiments and descriptions are only for illustrating the principles of the present invention. Without departing from the spirit and scope of the present invention, the present invention may have various changes and improvements, which shall fall within the scope of the present invention to be protected. The scope of protection of the present invention is defined by the attached claims and their equivalents.

Claims

1. A method for automatically adjusting a passenger car air conditioner, characterized in that: include: Step S1: collecting the real-time temperature outside the vehicle and the real-time temperature inside the vehicle; Step S2: collecting a global image inside the vehicle, and performing personnel target detection based on the global image inside the vehicle to obtain the number of people on board and the distribution of people on board; Step S3: inputting the real-time temperature inside the vehicle, the real-time temperature inside the vehicle, the number of passengers in the vehicle, the vehicle type, and the estimated travel time into a somatic comfort temperature model, wherein the somatic comfort temperature model is used to predict one of the somatic comfort temperature value T1 under heating, the somatic comfort temperature value T2 under cooling, and the somatic comfort temperature value T3 under ventilation according to the input data; Step S4: according to the real-time temperature in the vehicle, the predicted comfortable temperature value is divided into intervals to form a comfortable temperature range interval; Step S5: inputting the comfortable temperature range, the number of passengers on board, and the distribution of passengers on board into an air-conditioning seat distribution model, wherein the air-conditioning seat distribution model is used to predict theoretical control information of the top of each seat according to the input data; Step S6: Based on the prediction result of step S5, the air conditioning vents on the top of each seat are controlled to perform corresponding operations.

2. The automatic adjustment method according to claim 1, characterized in that: The step S2 comprises: Step S2.1: collecting local images of the interior of the vehicle from different viewing angles; Step S2.2: preprocessing all the local images inside the vehicle to obtain a global image inside the vehicle; Step S2.3: Performing personnel target detection based on the global image inside the vehicle to obtain the number of people on board and the distribution of people on board; Step S2.4: Based on the distribution of people in the vehicle, the local image of the interior of the vehicle under each viewing angle is input into the target category detection model. The target category detection model is used to output each person category according to the input data. The person categories are: children, elderly, adult women, and adult men.

3. The automatic adjustment method according to claim 2, characterized in that: The step S5 comprises: The comfortable temperature range, the number of people on board, the distribution of people on board, and the category of each person are input into the air-conditioning seat distribution model. The air-conditioning seat distribution model is used to predict the theoretical control information at the top of each seat based on the input data. The control information includes one or more of: air-conditioning outlet open, air-conditioning outlet closed, wind force, and wind speed.

4. The automatic adjustment method according to any one of claims 1 to 3, characterized in that: The automatic adjustment method also includes: Step S7: Calculate the estimated remaining travel time according to the vehicle's running speed; When the estimated remaining travel time is lower than a threshold, the comfortable temperature range and the real-time control information of the top of each seat are input into an energy-saving temperature control model, and the energy-saving temperature control model is used to predict the energy-saving control information of the top of each seat based on the input data; Step S8: Based on the prediction result of step S7, the air conditioning vents on the top of each seat are controlled to perform corresponding operations.

5. Automatic adjustment device for passenger car air conditioner, characterized in that: include: Temperature collection module, used to collect real-time temperature outside the vehicle and real-time temperature inside the vehicle; An image processing module is used to collect a global image inside the vehicle, and perform personnel target detection based on the global image inside the vehicle to obtain the number of people on board and their distribution; A sensory comfort temperature prediction module is used to input the real-time temperature inside the vehicle, the real-time temperature inside the vehicle, the number of people on board, the vehicle type, and the estimated travel time into a sensory comfort temperature model, wherein the sensory comfort temperature model is used to predict one of a sensory comfort temperature value T1 under heating, a sensory comfort temperature value T2 under cooling, and a sensory comfort temperature value T3 under ventilation according to the input data; The intervalization module is used to intervalize the predicted comfortable temperature value according to the real-time temperature in the car to form a comfortable temperature range interval; An air-conditioning seat distribution prediction module is used to input the comfortable temperature range, the number of passengers on board, and the distribution of passengers on board into an air-conditioning seat distribution model, and the air-conditioning seat distribution model is used to predict theoretical control information of the top of each seat based on the input data; The control module is used to control the air-conditioning outlet on the top of each seat to perform corresponding operations according to the prediction results of the air-conditioning seat distribution prediction module.

6. The automatic adjustment device according to claim 5, characterized in that: The image processing module comprises: An image acquisition unit, used for acquiring local images of the interior of the vehicle at different viewing angles; A preprocessing unit, used for performing preprocessing operations on all the local images inside the vehicle to obtain a global image inside the vehicle; The target detection unit is used to detect people based on the global image in the vehicle, and obtain the number and distribution of people in the vehicle; The target category detection unit is used to input the local image of the vehicle interior at each perspective into the target category detection model based on the distribution of people in the vehicle. The target category detection model is used to output each person category according to the input data. The person categories are: children, elderly, adult women, and adult men.

7. The automatic adjustment device according to claim 6, characterized in that: The air-conditioning seat distribution prediction module is used to input the comfortable temperature range, the number of people on board, the distribution of people on board and the category of each person into the air-conditioning seat distribution model. The air-conditioning seat distribution model is used to predict the theoretical control information of the top of each seat based on the input data. The control information includes: one or more of: air-conditioning outlet open, air-conditioning outlet closed, wind force and wind speed.

8. The automatic adjustment device according to any one of claims 5 to 7, characterized in that: The automatic adjustment device also includes: Energy-saving temperature control module, used to calculate the estimated remaining travel time based on the vehicle's running speed; When the estimated remaining travel time is lower than a threshold, the comfortable temperature range and the real-time control information of the top of each seat are input into an energy-saving temperature control model, and the energy-saving temperature control model is used to predict the energy-saving control information of the top of each seat based on the input data; Furthermore, the control module can control the air conditioning vents on the top of each seat to perform corresponding operations according to the prediction results of the energy-saving temperature control module.

9. A computing device, characterized in that include: one or more processors; Memory; And one or more programs, wherein the one or more programs are stored in the memory and are configured to be executed by one or more processors, and one or more of the programs include instructions for the automatic adjustment method of the passenger car air conditioner as described in any one of claims 1-4 above.

10. A storage medium, characterized in that The storage medium stores one or more computer-readable programs, and the one or more programs include instructions, and the instructions are suitable for being loaded by the memory and executing the automatic adjustment method for the passenger car air conditioner described in any one of claims 1-4.

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