A method for automatically configuring a comfort adjustment device of a car sharing vehicle and a related device

Abstract

The application discloses a kind of comfortable adjustment equipment automatic configuration method of shared car and related equipment, including obtaining the first performance parameter information that the comfortable adjustment equipment of first car responds to first configuration parameter information generates, according to first configuration parameter information, the comfortable adjustment equipment of target shared car is remotely tested, according to first performance parameter information and the remote test result of target shared car, configuration parameter adjustment information is determined, and the steps such as triggering target shared car to adjust configuration according to configuration parameter adjustment information to its comfortable adjustment equipment.The present application makes it easy for car users to transfer the use habits of the comfortable adjustment equipment of the first car to the target shared car when receiving the target shared car for use from the first car, thereby reducing the time and effort required for car users to re-explore and adapt to the characteristics of the comfortable adjustment equipment of the target shared car, improving the driving experience of the target shared car.The present application is widely used in the field of automobile technology.

Description

Technical Field

[0001] This invention relates to the field of automotive technology, and in particular to an automatic configuration method and related equipment for comfort adjustment devices in shared vehicles. Background Technology

[0002] Car sharing platforms can purchase, maintain, and operate cars, and then rent them out to different car users for shared use. For car sharing platforms, they can earn rental revenue, while for car users, they can meet their temporary car needs for business trips, tourism, and hospitality at a lower cost. This is a good model for allocating car resources.

[0003] Cars are equipped with comfort adjustment devices that can adjust the space inside the passenger compartment to a level that makes the passengers feel comfortable. Therefore, the parameter configuration of the comfort adjustment devices directly affects the driving and riding experience of the passengers.

[0004] For car owners using their vehicles daily, they can adjust the comfort settings to configure them to suitable operating parameters, ensuring both comfort and safety during daily use. However, because shared cars are typically used by multiple users, the comfort settings in a shared car usually don't have the parameters that user wants to configure when they receive the car, requiring manual configuration by the user. However, on the one hand, the number of comfort adjustment devices that need to be configured is relatively large. If car users configure the parameters of each comfort adjustment device individually, it will take them a lot of time and effort. On the other hand, even if car users clearly understand the operating parameters of the comfort adjustment devices they can adapt to and plan to configure them with the same operating parameters in the newly received shared car, their experience with these operating parameters comes from their previous cars. Due to factors such as different car manufacturers' design philosophies, different models' functional focuses, and differences in manufacturing processes or depreciation levels among different products of the same model, configuring the comfort adjustment devices in the shared car with the same operating parameters may result in a significant difference in comfort adjustment effects compared to the car users experienced in their previous vehicles. This forces car users to readjust the operating parameters of the comfort adjustment devices in the shared car, which still takes a lot of time and effort, impacting their tight schedules and reducing the driving and riding experience of the shared car. Summary of the Invention

[0005] To address at least one of the aforementioned technical problems, the present invention aims to provide an automatic configuration method for comfort adjustment devices in shared vehicles.

[0006] On one hand, embodiments of the present invention include an automatic configuration method for comfort adjustment devices in shared vehicles. On the other hand, embodiments of the present invention also include a computer device, including a memory and a processor, the memory for storing at least one program, and the processor for loading at least one program to execute the automatic configuration method for comfort adjustment devices of a shared car in the embodiments.

[0007] On the other hand, embodiments of the present invention also include a computer-readable storage medium storing a processor-executable program, which, when executed by a processor, is used to perform the automatic configuration method for comfort adjustment devices of a shared vehicle in the embodiments.

[0008] The beneficial effects of the present invention are: the automatic configuration method of the comfort adjustment device of the shared car in the embodiment makes it easy for car users to transfer their usage habits of the comfort adjustment device of the first car to the target shared car when they receive the target shared car from the first car. This reduces the time and effort required for car users to re-explore and adapt to the characteristics of the comfort adjustment device of the target shared car, and helps to improve the driving experience of the target shared car. Attached Figure Description

[0009] Figure 1 This is a schematic diagram of a car network system for which the automatic configuration method for comfort adjustment devices of shared cars can be applied in the embodiment; Figure 2 This is a schematic diagram of the structure of the first car and the shared car in the embodiment; Figure 3 This is a schematic diagram illustrating the steps of the automatic configuration method for the comfort adjustment device of a shared car in this embodiment. Figure 4 This is a schematic diagram illustrating the principle of steps S1-S6 in the embodiment. Detailed Implementation

[0010] In this embodiment, the automatic configuration method for comfort adjustment devices in shared cars can be applied to... Figure 1 The vehicle network system shown. (Refer to...) Figure 1 The car network system includes First Auto, cloud servers, and a fleet of shared cars. First Auto is the car used daily by a user (Car User A) who wants to rent a shared car from the car-sharing platform. Specifically, it can be a private car owned by Car User A or a family member, a car owned by Car User A's workplace and frequently driven by Car User A for work, or a shared car that Car User A has rented from other car-sharing platforms, etc.

[0011] In this embodiment, both the cloud server and the shared car fleet are operated by the car-sharing platform. (Refer to...) Figure 1 The shared car fleet includes multiple shared cars in use, such as "Shared Car 1" and "Shared Car 2." These shared cars were rented by the car-sharing platform to other car users, such as car user B and car user C, before car user A received the target shared car from the platform. (See reference...) Figure 1 The shared car fleet includes multiple shared cars such as Shared Car 1 and Shared Car 2, which are shared cars that are not rented to car users at the same time and are parked in parking lots and other locations.

[0012] In this embodiment, refer to Figure 2 Like every shared car in use or available for rent, First Automobile Works' vehicles are equipped with multiple comfort adjustment devices, including air conditioning, an audio-visual entertainment system, and ambient lighting. Each comfort adjustment device has corresponding configurable parameters. For example, for the air conditioning, the corresponding configurable parameters include the target cooling temperature. Target heating temperature and target wind speed Configurable parameters include target playback volume; for audio-visual entertainment systems, which are comfort adjustment devices, the corresponding configurable parameters include target playback volume. Configurable parameters include target brightness for ambient lighting, a comfort adjustment device. Configurable parameters, etc.

[0013] In this embodiment, the configurable parameters corresponding to each comfort adjustment device are, on the one hand, the target operating parameters that the car user hopes the comfort adjustment device can achieve, and on the other hand, from a control perspective, the input information of the comfort adjustment device. After each comfort adjustment device accepts the configuration of the configurable parameters and works for a period of time, it can produce certain performance. Such performance is, on the one hand, the actual operating parameters achieved by the comfort adjustment device, and on the other hand, from a control perspective, the response of the comfort adjustment device to the input information.

[0014] For example, regarding the air conditioning system, a comfort control device installed in the first automobile, if its configurable parameter, the target cooling temperature, is set to... This comfort control device will cool the passenger compartment of the first vehicle, thereby bringing the passenger compartment to a certain actual cooling temperature. Actual cooling temperature It is the air conditioning system on the First Automobile Works that provides comfort control. The performance parameters generated by the response are then considered. Similarly, for the air conditioning system installed in the shared car 1, a comfort control device, if its corresponding target cooling temperature configurable parameter is set to... This comfort control device will cool the passenger compartment of the shared car 1, bringing it to the desired cooling temperature. Actual cooling temperature It uses the air conditioning, a comfort control device, in the shared car 1. The performance parameters generated by the response.

[0015] Due to factors such as different car manufacturers' design philosophies, different models' functional focuses, and differences in manufacturing processes or depreciation rates among different products of the same model, the target cooling temperature configured for the air conditioning in the first car is usually... The target cooling temperature is configured for use with the air conditioning in the shared car 1. Similarly, the actual cooling temperature produced by the air conditioner in the first car is... The actual cooling temperature generated by the air conditioning in the shared car 1 Generally, they are different. This is why car user A, after getting used to using the air conditioning in the first car, would experience discomfort when using the air conditioning in the shared car 1, such as "the cooling performance is not strong enough" or "the cooling performance is too strong".

[0016] In this embodiment, refer to Figure 2 The first vehicle and each of the shared cars in use or available for rent can also be equipped with dedicated or dual-purpose sensors. Dual-purpose sensors can be implemented by the first vehicle and each of the shared cars in use or available for rent using sensors set on terminals such as mobile phones carried by passengers. These sensors are used to detect the performance parameters of the comfort adjustment devices on the vehicle. For example, in the above embodiment, the sensors on the first vehicle can detect the air conditioning's response to the configured target cooling temperature. The actual temperature of the generated cooling This allows the detection of the performance parameters of the air conditioning system on the first vehicle; similarly, the sensors on the shared vehicle 1 can detect the air conditioning system's response to the configured target cooling temperature. The actual temperature of the generated cooling This allows the detection of the performance parameters of the air conditioner in the shared car 1.

[0017] In this embodiment, based on Figure 1 and Figure 2The hardware structure of the illustrated car network system allows a cloud server to execute an automatic configuration method for the comfort adjustment devices in a shared car. (Refer to...) Figure 3 The automatic configuration method for comfort adjustment devices in shared cars includes the following steps: S1. Obtain car-sharing orders from car users; S2. Generate the first configuration parameter information; S3. Obtain first performance parameter information generated by the comfort adjustment device of the first vehicle in response to the first configuration parameter information; S4. Based on the first configuration parameter information, remotely test the comfort adjustment equipment of the target shared car; S5. Based on the first performance parameter information and the remote test results of the target shared vehicle, determine the configuration parameter adjustment information; S6. When fulfilling a car-sharing order, the configuration parameter adjustment information is sent to the target shared car, triggering the target shared car to adjust its comfort adjustment equipment according to the configuration parameter adjustment information.

[0018] In this embodiment, steps S1-S6 are executed by the cloud server. Taking an air conditioner as an example of a comfort control device, steps S1-S6 will be explained. The principle of steps S1-S6 is as follows: Figure 4 As shown.

[0019] In step S1, car user A wants to rent a shared car from a car-sharing platform. They desire that the comfort adjustment features installed in the rented shared car have similar performance to those in their current car, allowing them to experience a similar comfort and adjustment experience without significantly altering their preferred comfort features. This would improve the user experience of the shared car. Based on these needs, car user A sends a car-sharing order to the cloud server operated by the car-sharing platform via a mobile phone or other device.

[0020] After receiving the car-sharing order from car user A in step S1, the cloud server executes steps S2-S5 before actually fulfilling the car-sharing order, i.e., delivering the specific shared car to car user A, to determine the target shared car, i.e. the specific shared car to be delivered to car user A, and adjusts and configures the comfort adjustment equipment on the target shared car.

[0021] In this embodiment, when the cloud server executes step S2, which is the step of generating the first configuration parameter information, it can specifically perform the following steps: S201. Generate the time series of target configuration parameters; S202. Use the target configuration parameter time series as the first configuration parameter information.

[0022] In step S201, taking an air conditioner as an example of a comfort control device, the content that can be generated is: , ... The length is The target configuration parameter time series, where the first Target configuration parameters This indicates that the car's air conditioning, a comfort control device, is always in use. by As a temperature target, the system cools / heats the passenger compartment of the vehicle, thereby regulating the temperature of the passenger compartment.

[0023] In this embodiment, two adjacent target configuration parameters in the target configuration parameter time series (e.g.) and () represents different temperature values, thus making the entire target configuration parameter time series a time series composed of increasing, decreasing, or fluctuating temperature values.

[0024] In step S202, the target configuration parameter time series generated in step S202 is used. , ... This is the first configuration parameter information.

[0025] In step S3, refer to Figure 4 The cloud server sends the first configuration parameter information to the first vehicle, enabling the air conditioner in the first vehicle to accept and configure the first configuration parameter information, and to operate based on the configuration. Specifically, the air conditioner in the first vehicle constantly... The target cooling temperature is configured as follows: The air conditioning on the First Automobile Works was activated to cool the passenger compartment, thus regulating the temperature to [temperature value missing]. The air conditioning on the first car is always on The target cooling temperature is configured as follows: The air conditioning on the First Automobile Works was activated to cool the passenger compartment, thus regulating the temperature to [temperature value missing]. ...The air conditioning on the First Automobile Works was always... The target cooling temperature is configured as follows: The air conditioning on the First Automobile Works was activated to cool the passenger compartment, thus regulating the temperature to [temperature value missing]. .

[0026] In step S3, the temperature actually reached in the passenger compartment of the first vehicle by the air conditioning system is detected by the sensors of the first vehicle, resulting in a value of [data missing]. , ... The time series, which serves as the time series of first performance parameters generated by the air conditioning system of the first vehicle in response to first configuration parameter information.

[0027] In this embodiment, the difference sequence corresponding to the time series of the first performance parameter, i.e., the first difference sequence, is calculated and used as the first performance parameter information. Specifically, the difference obtained by subtracting the previous term from each term in the time series of the first performance parameter is used as a term in the first difference sequence.

[0028]

[0029] ...

[0030] ...

[0031] Thus, the first performance parameter information is obtained. , ... .

[0032] In this embodiment, when the cloud server executes step S4, which is to remotely test the comfort adjustment device of the target shared car based on the first configuration parameter information, it can specifically perform the following steps: S401. Identify multiple candidate shared cars; S402. For any candidate shared vehicle, remotely test the comfort adjustment device of the candidate shared vehicle according to the first configuration parameter information; S403. Based on the remote test results of each candidate shared car, determine one candidate shared car as the target shared car; S404. Retrieve the remote test results of the target shared car.

[0033] In step S401, the cloud server can identify all available shared cars as candidate shared cars. For shared cars in use, the cloud server can generate an invitation message that reads, "We now invite you to participate in our technical test. The test will adjust the air conditioning of the shared car you are driving, but it will not affect your driving safety. If you confirm your participation, we will offer you a rental discount," and send the invitation message to each of the shared cars in use.

[0034] by Figure 4Taking a shared car 1 currently being rented to car user B as an example, if shared car 1 receives an invitation and sends a confirmation message to the cloud server indicating its participation in the technical test, the cloud server will designate shared car 1 as a candidate shared car. When car user B finishes using shared car 1 and settles the rental fee with the shared car platform, the cloud server will offer a discount on the shared car pricing. For example, the rental fee will be reduced by a percentage or a fixed amount based on the original pricing standard, thus allowing car user B, who is willing to designate shared car 1 as a candidate shared car, to pay less.

[0035] In this embodiment, by sending invitation messages to each in-use shared car and setting preferential pricing for candidate shared cars, more in-use shared cars can be attracted to become candidate shared cars, thereby providing a wider selection of target shared cars and improving the overall user experience for all car users.

[0036] In this embodiment, refer to Figure 4 By identifying available shared cars as candidate shared cars and inviting currently used shared cars to become candidate shared cars, candidate shared car 1, candidate shared car 2, and candidate shared car 3 were determined. A number of candidate shared cars.

[0037] In this embodiment, refer to Figure 4 When the cloud server executes step S402, which is to remotely test the comfort adjustment devices of the candidate shared cars based on the first configuration parameter information, it can specifically perform the following steps: S40201. Send the first configuration parameter information to the candidate shared car, triggering the candidate shared car to configure its comfort adjustment device with the first configuration parameter information; S40202. Obtain second performance parameter information generated by the comfort adjustment device of the candidate shared car in response to the first configuration parameter information; S40203. Use the second performance parameter information as the remote test result of the candidate shared car.

[0038] In this embodiment, the principle is the same as sending the first configuration parameter information to the first vehicle to trigger the first vehicle to configure the air conditioner on the first vehicle with the first configuration parameter information. In step S40201, for the first... The candidate shared cars will have the same initial configuration parameter information. , ... Sending to candidate car-sharing vehicles will trigger the first... The candidate shared cars are selected based on the first configuration parameter information. The air conditioning in the candidate shared cars will be configured to make the first The temperature in the passenger compartment of the candidate shared car was adjusted to , ... Thus, the first The second performance parameter time series of candidate shared cars.

[0039] In step S40202, the first The second performance parameter time series of candidate shared cars , ... , by the The sensors of the candidate shared cars were detected, and the corresponding difference sequence, i.e., the second difference sequence, was calculated.

[0040]

[0041] ...

[0042] ...

[0043] Thus obtain the first Second performance parameter information of candidate shared cars , ... And in step S40203 as the first The remote test results of the candidate shared cars are sent to the cloud server.

[0044] In step S403, since the first difference sequence of the first car has already been obtained... , ... and any first The second difference sequence of candidate shared cars , ... Therefore, the first difference sequence and any second difference sequence can be obtained. Linear correlation coefficient of the second difference sequence corresponding to the candidate shared cars .

[0045] Specifically, for the first difference sequence , ... With the The second difference sequence of candidate shared cars , ... Linear fitting algorithms such as the least squares method can be used to fit the two difference sequences, so that each value in the first difference sequence can be mapped to a corresponding value in the second difference sequence through a linear mapping relationship determined by the slope and intercept. The slope in this linear mapping relationship is the linear correlation coefficient. .

[0046] In step S403, any number of... Linear correlation coefficients of candidate shared cars You can select all of them. ( =1,2,3…… The maximum value in ) , to correspond to the maximum value The candidate shared car was selected as the target shared car.

[0047] In this embodiment, since the remote test results of all candidate shared cars have been obtained, and the target shared car is a specific candidate shared car, in step S404, the remote test results of the candidate shared cars that have been obtained can be directly called to obtain the remote test results of the target shared car, that is, the second difference sequence of the target shared car.

[0048] In this embodiment, when the cloud server executes step S5, which is to determine the configuration parameter adjustment information based on the first performance parameter information and the remote test results of the target shared car, the following steps can be performed: S501. Perform linear fitting between the first difference sequence and the second difference sequence corresponding to the target shared car to determine the scaling factor for mapping the first difference sequence to the second difference sequence; S502. Use the proportional coefficient as the configuration parameter adjustment information.

[0049] Based on the principles of steps S401-S403, the proportional coefficient to be obtained in step S501 is the total linear correlation coefficient. ( =1,2,3…… The maximum value in ) That is, the linear correlation coefficient corresponding to the target car-sharing. Therefore, in step S502, using a scaling factor... This serves as information for adjusting configuration parameters.

[0050] After the cloud server completes steps S1-S5, it identifies the target shared car. If the target shared car is a car available for rent, the cloud server can immediately send the car's location and other information to car user A, allowing car user A to pick up the car immediately, and the car-sharing platform will immediately fulfill the car-sharing order. If the target shared car is a car already in use, the cloud server can detect the current order's end time and send the target shared car's location and other information to car user A after the current order ends, allowing car user A to pick up the car after the current order ends, and the car-sharing platform will fulfill the car-sharing order after car user A picks up the car.

[0051] After car user A obtains the target shared car, the car-sharing platform fulfills the car-sharing order and executes step S6.

[0052] When the cloud server executes step S6, it adjusts the configuration parameter information, i.e., the scaling factor. Send to the target shared car, so that the target shared car can use the proportional coefficient. Determining the conversion coefficients with negative correlation That is, the proportionality coefficient The larger the conversion factor, the higher the conversion coefficient. The smaller. For example, in this embodiment, the formula can be used.

[0053] Calculate the conversion coefficient .

[0054] When car user A is using a target shared car, for example, when configuring the air conditioning in the target shared car to a target cooling temperature, car user A inputs a value representing the target cooling temperature. The second configuration parameter information indicates that car user A wants the air conditioning in the target shared car to... Cooling is performed at the target temperature for cooling.

[0055] In this embodiment, the target shared car does not directly rely on the second configuration parameter information, i.e., the target cooling temperature. Instead of performing refrigeration, it is based on the conversion factor. The second configuration parameter information Convert to third configuration parameter information The air conditioning of the target shared car is configured according to the third configuration parameter information, that is, the actual configuration is based on... Cooling is performed at the target temperature for cooling. In this embodiment, the third configuration parameter information... This is the second configuration parameter information. With conversion factor The product of, i.e.

[0056] The principle behind steps S1-S6 in this embodiment is as follows: The cloud server sends the same first configuration parameter information to both the first car currently used by the user and potential candidate shared cars. This allows the first car and candidate shared cars to configure their comfort adjustment devices according to the first configuration parameter information. This ensures that the first car and all candidate shared cars receive the same parameter configuration, resulting in first performance parameter information for the first car and second performance parameter information for each candidate shared car. The differential sequence form of the first and second performance parameter information can offset the differences in performance levels of the comfort adjustment devices of the first car and each candidate shared car. This allows the first performance parameter information and their respective second performance parameter information to represent the response of each comfort adjustment device to the first configuration parameter information. By calculating the linear correlation coefficient between each second performance parameter information and the first performance parameter information, the linear correlation between the response characteristics of the comfort adjustment devices of each candidate shared car and the response characteristics of the comfort adjustment devices of the currently used first car can be quantitatively determined. The larger the linear correlation coefficient of the candidate shared car, the closer its comfort adjustment device response characteristics are to those of the first car. When a car user switches from the first car to a candidate shared car, it is easier for them to adapt to the characteristics of the comfort adjustment devices of the candidate shared car. This also improves the user's experience with the comfort adjustment devices of the first car. The easier it is to transfer usage habits from the device to the candidate shared car; by selecting the candidate shared car with the highest coefficient as the target shared car for rental to car users, it is easier for car users to transfer their usage habits of the comfort adjustment equipment of the first car to the target shared car, thereby reducing the time and effort required for car users to re-explore and adapt to the characteristics of the comfort adjustment equipment of the target shared car, which is conducive to improving the driving experience of the target shared car; by determining the conversion coefficient negatively correlated with the proportional coefficient (i.e., the linear correlation coefficient) of the target shared car, and using the conversion coefficient, the second configuration parameter information used by car users to configure the comfort adjustment equipment of the target shared car is transferred. The third configuration parameter information is converted into actual configuration of the comfort adjustment devices of the target shared car. This allows the car user to continue using the comfort adjustment devices of the first car in the same way as they have used the first car. The third configuration parameter information, obtained by converting the second configuration parameter information and the conversion coefficient, compensates for the difference in response characteristics between the comfort adjustment devices of the target shared car and the first car. This makes the actual performance of the comfort adjustment devices of the target shared car closer to that of the first car under the same parameter configuration, thereby improving the driving experience of the target shared car.

[0057] A computer program that executes the automatic configuration method for the comfort adjustment device of the shared car in this embodiment can be written into a computer device or storage medium. When the computer program is read out and run, the automatic configuration method for the comfort adjustment device of the shared car in this embodiment is executed, thereby achieving the same technical effect as the automatic configuration method for the comfort adjustment device of the shared car in the embodiment.

[0058] It should be noted that, unless otherwise specified, when a feature is referred to as "fixed" or "connected" to another feature, it can be directly fixed or connected to the other feature, or indirectly fixed or connected to the other feature. Furthermore, the descriptions of "upper," "lower," "left," and "right" used in this disclosure are only relative to the relative positional relationships of the components of this disclosure in the accompanying drawings. The singular forms "a," "an," and "the" used in this disclosure are also intended to include the plural forms, unless the context clearly indicates otherwise. Moreover, unless otherwise defined, all technical and scientific terms used in this embodiment have the same meaning as commonly understood by one of ordinary skill in the art. The terminology used in this embodiment specification is only for describing particular embodiments and is not intended to limit the invention. The term "and / or" as used in this embodiment includes any combination of one or more of the associated listed items.

[0059] It should be understood that although the terms first, second, third, etc., may be used to describe various elements in this disclosure, these elements should not be limited to these terms. These terms are only used to distinguish elements of the same type from each other. For example, a first element may also be referred to as a second element without departing from the scope of this disclosure, and similarly, a second element may also be referred to as a first element. The use of any and all instances or exemplary language (“e.g.,” “such as,” etc.) provided in this embodiment is intended only to better illustrate embodiments of the invention and, unless otherwise required, does not impose a limitation on the scope of the invention.

[0060] It should be recognized that embodiments of the present invention can be implemented or carried out by computer hardware, a combination of hardware and software, or by computer instructions stored in a non-transitory computer-readable storage medium. The method can be implemented using standard programming techniques—including a non-transitory computer-readable storage medium configured with a computer program, wherein such a storage medium causes the computer to operate in a specific and predefined manner—according to the methods and drawings described in the specific embodiments. Each program can be implemented in a high-level procedural or object-oriented programming language to communicate with the computer system. However, if desired, the program can be implemented in assembly or machine language. In any case, the language can be a compiled or interpreted language. Furthermore, for this purpose, the program can run on a programmed application-specific integrated circuit (ASIC).

[0061] Furthermore, the procedures described in this embodiment can be performed in any suitable order unless otherwise indicated by this embodiment or clearly contradicted by the context. The procedures (or variations and / or combinations thereof) described in this embodiment can be executed under the control of one or more computer systems configured with executable instructions, and can be implemented by hardware or a combination thereof as code (e.g., executable instructions, one or more computer programs, or one or more applications) that commonly executes on one or more processors. A computer program includes multiple instructions executable by one or more processors.

[0062] Furthermore, the method can be implemented in any suitable type of computing platform, including but not limited to personal computers, minicomputers, mainframes, workstations, networked or distributed computing environments, standalone or integrated computer platforms, or in communication with charged particle tools or other imaging devices, etc. Aspects of the invention can be implemented as machine-readable code stored on a non-transitory storage medium or device, whether removable or integrated into a computing platform, such as a hard disk, optical read and / or write storage medium, RAM, ROM, etc., such that it is readable by a programmable computer, and when the storage medium or device is read by the computer, it can be used to configure and operate the computer to perform the processes described herein. Furthermore, the machine-readable code, or portions thereof, can be transmitted via wired or wireless networks. The invention of this embodiment includes these and other different types of non-transitory computer-readable storage media when such media comprises instructions or programs that implement the steps above in conjunction with a microprocessor or other data processor. When programmed according to the methods and techniques of the invention, the invention also includes the computer itself.

[0063] A computer program can be applied to input data to perform the functions of this embodiment, thereby transforming the input data to generate output data stored in non-volatile memory. The output information can also be applied to one or more output devices, such as a display. In a preferred embodiment of the invention, the transformed data represents physical and tangible objects, including specific visual depictions of physical and tangible objects generated on the display.

[0064] The above are merely preferred embodiments of the present invention. The present invention is not limited to the above-described embodiments. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention, as long as they achieve the technical effects of the present invention by the same means, should be included within the scope of protection of the present invention. Within the scope of protection of the present invention, the technical solutions and / or implementation methods can have various modifications and variations.

Claims

1. A method for automatically configuring comfort adjustment devices in a shared car, applied to a cloud server, characterized in that, The automatic configuration method for the comfort adjustment devices of the shared car includes: Obtain car-sharing orders from car users; Generate first configuration parameter information; the first configuration parameter information is applicable to configuring the comfort adjustment devices of the vehicle; The comfort adjustment device of the first vehicle generates first performance parameter information in response to the first configuration parameter information; the first vehicle is the vehicle used by the vehicle user before fulfilling the car-sharing order; Based on the first configuration parameter information, the comfort adjustment device of the target shared car is remotely tested; Based on the first performance parameter information and the remote test results of the target shared vehicle, the configuration parameter adjustment information is determined; When fulfilling the car-sharing order, the configuration parameter adjustment information is sent to the target shared car, triggering the target shared car to adjust its comfort adjustment device according to the configuration parameter adjustment information.

2. The automatic configuration method for comfort adjustment devices in a shared car according to claim 1, characterized in that, The generation of the first configuration parameter information includes: Generate a time series of target configuration parameters; the time series of target configuration parameters includes multiple target configuration parameters, which are used to control the adjustment targets of the vehicle's comfort adjustment devices; The target configuration parameter time series is used as the first configuration parameter information.

3. The automatic configuration method for comfort adjustment devices in a shared car according to claim 2, characterized in that, The step of remotely testing the comfort adjustment devices of the target shared car based on the first configuration parameter information includes: Multiple candidate shared cars were identified; For any of the candidate shared vehicles, the comfort adjustment devices of the candidate shared vehicle are remotely tested according to the first configuration parameter information; Based on the remote test results of each of the candidate shared vehicles, one of the candidate shared vehicles is determined as the target shared vehicle; Retrieve the remote test results of the target shared car.

4. The automatic configuration method for comfort adjustment devices in a shared car according to claim 3, characterized in that, The determination of multiple candidate shared cars includes: Identify multiple shared cars currently in use; Send invitation messages to each of the aforementioned shared cars currently in use; For any of the aforementioned shared vehicles in use, when a confirmation message is received from the shared vehicle in response to the invitation message, the shared vehicle in use is identified as a candidate shared vehicle. The shared pricing for the candidate shared cars is set with preferential settings.

5. The automatic configuration method for comfort adjustment devices in a shared car according to claim 3, characterized in that, The step of remotely testing the comfort adjustment devices of the candidate shared vehicles based on the first configuration parameter information includes: The first configuration parameter information is sent to the candidate shared car, triggering the candidate shared car to configure its comfort adjustment device according to the first configuration parameter information; Obtain second performance parameter information generated by the comfort adjustment device of the candidate shared car in response to the first configuration parameter information; The second performance parameter information is used as the remote test result of the candidate shared car.

6. The automatic configuration method for comfort adjustment devices in a shared car according to claim 5, characterized in that: The acquisition of first performance parameter information generated by the comfort adjustment device of the first vehicle in response to the first configuration parameter information includes: The comfort adjustment device of the first vehicle is configured sequentially using each of the target configuration parameters in the target configuration parameter time series. The detection device of the first vehicle is called to detect the performance parameters achieved by the comfort adjustment device of the first vehicle after being configured with the target configuration parameters, and a first performance parameter time series is obtained. Obtain the first difference sequence corresponding to the time series of the first performance parameter, and use it as the first performance parameter information; The step of obtaining the second performance parameter information generated by the comfort adjustment device of the candidate shared car in response to the first configuration parameter information includes: The comfort adjustment device of the candidate shared car is configured sequentially using each of the target configuration parameters in the target configuration parameter time series. The detection device of the candidate shared car is called to detect the performance parameters achieved by the comfort adjustment device of the candidate shared car after being configured with the target configuration parameters, and a second performance parameter time series is obtained. Obtain the second difference sequence corresponding to the time series of the second performance parameter, and use it as the second performance parameter information.

7. The automatic configuration method for comfort adjustment devices in a shared car according to claim 6, characterized in that, The step of determining one of the candidate shared vehicles as the target shared vehicle based on the remote test results of each candidate shared vehicle includes: For any of the candidate shared vehicles, calculate the linear correlation coefficient between the first difference sequence and the second difference sequence corresponding to the candidate shared vehicle; Determine the maximum value among all the linear correlation coefficients; The candidate shared car corresponding to the maximum value is determined as the target shared car.

8. The automatic configuration method for comfort adjustment devices in a shared car according to claim 7, characterized in that: The step of determining configuration parameter adjustment information based on the first performance parameter information and the remote test results of the target shared vehicle includes: By performing linear fitting between the first difference sequence and the second difference sequence corresponding to the target shared car, the scaling factor for mapping the first difference sequence to the second difference sequence is determined. The aforementioned proportional coefficient is used as the configuration parameter adjustment information; The step of triggering the target shared car to adjust its comfort control device configuration according to the configuration parameter adjustment information includes: The target shared car is triggered to determine a conversion coefficient based on the proportional coefficient in a negative correlation. When the second configuration parameter information input by the car user is detected, the second configuration parameter information is converted according to the conversion coefficient to obtain the third configuration parameter information. The comfort adjustment device of the target shared car is configured according to the third configuration parameter information.

9. A computer device, characterized in that, It includes a memory and a processor, the memory being used to store at least one program, and the processor being used to load at least one program to execute the automatic configuration method for comfort adjustment devices of a shared vehicle as described in any one of claims 1-8.

10. A computer-readable storage medium storing a processor-executable program, characterized in that, The processor-executable program, when executed by the processor, is used to perform the automatic configuration method for the comfort adjustment device of the shared vehicle as described in any one of claims 1-8.

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