Intelligent driving commodity matching method and device based on vehicle type information and cloud platform

Abstract

The invention relates to the technical field of vehicles, in particular to an intelligent driving commodity matching method and device based on vehicle type information and a cloud platform, and the method comprises the steps: recognizing the vehicle type information of a target vehicle; determining an intelligent driving function version of the target vehicle based on the vehicle type information; and matching intelligent driving commodities suitable for the target vehicle based on the intelligent driving function version. Therefore, the problems of relatively low efficiency, relatively poor accuracy and the like of association processing among intelligent driving versions, intelligent driving commodities and vehicle types in related technologies are solved.

Description

Technical Field

[0001] The present application relates to the field of vehicle technology, and in particular to a method, device and cloud platform for intelligent driving product matching based on vehicle model information. Background Art

[0002] Smart driving subscription is an emerging service model, which is widely used in the smart car industry, allowing car owners to selectively subscribe to ADAS (Advanced Driver Assistance Systems) or AD (Autonomous Driving) according to their own needs, rather than paying the full fee at one time. This model allows consumers to flexibly pay for related services based on frequency of use, time period or specific scenarios, reducing the initial cost of car purchase, while also allowing the latest smart driving technology to be popularized in the market more quickly.

[0003] Currently, the vehicle model information synchronized from the vehicle manufacturer's MES (Manufacturing Execution System) to the TSP (Telematics Service Platform) does not include data associated with the intelligent driving version. This means that from production to sales, key information that directly connects the model and the intelligent driving function version is missing.

[0004] The method adopted by the existing technology is to export the vehicle model material information and manually maintain it in an Excel table after synchronizing the vehicle model information from MES to TSP. The staff needs to manually label the intelligent driving version according to the vehicle model information, and then import it into the intelligent driving subscription center to realize the association between intelligent driving products, intelligent driving versions and vehicle models. This method is not only time-consuming and labor-intensive, but also prone to human errors, affecting data accuracy and consistency, increasing maintenance costs and reducing efficiency. Summary of the invention

[0005] The present application provides a method, device and cloud platform for matching smart driving products based on vehicle model information to solve the problems of low efficiency and poor accuracy in the association processing between smart driving versions, smart driving products and vehicle models in related technologies.

[0006] The first aspect of the present application provides a method for matching smart driving products based on vehicle model information, comprising the following steps: identifying the vehicle model information of the target vehicle; determining the smart driving function version of the target vehicle based on the vehicle model information; and matching smart driving products suitable for the target vehicle based on the smart driving function version.

[0007] Optionally, in one embodiment of the present application, determining the intelligent driving function version of the target vehicle based on the vehicle model information also includes: identifying ADCC (Advanced Driver Assistance Control Center, intelligent driving control component) in the vehicle model information of the target vehicle; if ADCC is identified, obtaining the serial number of ADCC, and determining the intelligent driving function version of the target vehicle based on the serial number.

[0008] Optionally, in one embodiment of the present application, the intelligent driving function version includes first to third versions, and the intelligent driving function version of the target vehicle is determined based on the serial number, including: identifying the character string from the first preset position to the second preset position in the sequence; if the character string is the first character string, the intelligent driving function version of the target vehicle is the first version; if the character string is the second character string, the intelligent driving function version of the target vehicle is the second version.

[0009] Optionally, in one embodiment of the present application, it also includes: if ADCC is not identified, determining that the intelligent driving function version of the target vehicle is the third version.

[0010] Optionally, in one embodiment of the present application, matching smart driving products applicable to the target vehicle based on the smart driving function version includes: generating a corresponding smart driving function version tag based on the smart driving function version; and matching smart driving products applicable to the target vehicle based on the smart driving function version tag.

[0011] Optionally, in one embodiment of the present application, after matching the smart driving product suitable for the target vehicle based on the smart driving function version, it also includes: displaying the smart driving product on the application platform of the target vehicle.

[0012] The second aspect of the present application provides a smart driving product matching device based on vehicle model information, including: an identification module for identifying the vehicle model information of a target vehicle; a determination module for determining the smart driving function version of the target vehicle based on the vehicle model information; and a matching module for matching smart driving products suitable for the target vehicle based on the smart driving function version.

[0013] Optionally, in one embodiment of the present application, the determination module is further used to: identify ADCC in the vehicle model information of the target vehicle; if ADCC is identified, obtain the serial number of ADCC, and determine the intelligent driving function version of the target vehicle based on the serial number.

[0014] Optionally, in one embodiment of the present application, the intelligent driving version function version includes first to third versions, and the determination module is further used to: identify the character string from the first preset position to the second preset position in the serial number; if the character string is the first character string, the intelligent driving function version of the target vehicle is the first version; if the character string is the second character string, the intelligent driving function version of the target vehicle is the second version.

[0015] Optionally, in one embodiment of the present application, it also includes: a determination module, used to determine that the intelligent driving function version of the target vehicle is the third version if ADCC is not identified.

[0016] Optionally, in one embodiment of the present application, the matching module is further used to: generate a corresponding smart driving function version label based on the smart driving function version; and match smart driving products suitable for the target vehicle based on the smart driving function version label.

[0017] Optionally, in one embodiment of the present application, it also includes: a display module, which is used to display the smart driving product on the application platform of the target vehicle after matching the smart driving product suitable for the target vehicle based on the smart driving function version.

[0018] The third aspect of the present application provides a cloud platform, including: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to execute the intelligent driving product matching method based on vehicle model information as in the above-mentioned embodiment.

[0019] The fourth aspect of the present application provides a computer-readable storage medium on which a computer program or instruction is stored. The computer program or instruction is executed by a processor to perform the intelligent driving product matching method based on vehicle model information as in the above-mentioned embodiment.

[0020] The fifth aspect of the present application provides a computer program product, including a computer program or instructions. When the computer program or instructions are executed, the method for intelligent driving product matching based on vehicle model information as described in the above embodiment is implemented.

[0021] Therefore, this application has at least the following beneficial effects:

[0022] The embodiment of the present application can automatically determine the smart driving function version of the target vehicle based on the vehicle model information, and then match the smart driving product suitable for the target vehicle according to the smart driving function, so as to form a unique association between the smart driving function and the smart driving function version, and facilitate the subsequent maintenance of the smart driving function. Compared with the manual maintenance and import into the smart driving subscription center of the prior art, the processing efficiency is improved, the labor cost is reduced, and the accuracy of data matching is improved. Thus, the technical problems such as low efficiency and poor accuracy in the association processing between the smart driving version, smart driving product and vehicle model in the related technology are solved.

[0023] Additional aspects and advantages of the present application will be given in part in the description below, and in part will become apparent from the description below, or will be learned through the practice of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] The above and / or additional aspects and advantages of the present application will become apparent and easily understood from the following description of the embodiments in conjunction with the accompanying drawings, in which:

[0025] Figure 1 A flowchart of a smart driving product matching method based on vehicle type information provided according to an embodiment of the present application;

[0026] Figure 2 A specific flow chart of the intelligent driving product matching method based on vehicle type information provided according to an embodiment of the present application;

[0027] Figure 3 This is an example diagram of an intelligent driving product matching device based on vehicle type information provided according to an embodiment of the present application;

[0028] Figure 4 A schematic diagram of the structure of a cloud platform provided according to an embodiment of the present application. DETAILED DESCRIPTION

[0029] The embodiments of the present application are described in detail below, and examples of the embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present application, and should not be construed as limiting the present application.

[0030] The following describes the intelligent driving product matching method, device and cloud platform based on vehicle model information of the embodiment of the present application with reference to the accompanying drawings. The method adopted for the prior art mentioned in the above background technology is to export the vehicle model material information and manually maintain it in an Excel table after synchronizing the vehicle model information to TSP from MES. The staff needs to manually label the intelligent driving version according to the vehicle model information, and then import it into the intelligent driving subscription center to realize the association between intelligent driving products, intelligent driving versions and vehicle models. This method is not only time-consuming and laborious, but also easy to introduce human errors, affect data accuracy and consistency, increase maintenance costs and reduce efficiency. The present application provides a method for matching intelligent driving products based on vehicle model information, in which the intelligent driving function version of the target vehicle can be automatically determined based on the vehicle model information, and then the intelligent driving product suitable for the target vehicle is matched according to the intelligent driving function, and the intelligent driving function is uniquely associated with the intelligent driving function version, and it can be convenient for the subsequent maintenance of the intelligent driving function, compared with the prior art of manual maintenance and importing into the intelligent driving subscription center, the processing efficiency is improved, the labor cost is reduced, and the accuracy of data matching is improved. This solves the problems in related technologies such as low efficiency and poor accuracy in processing the associations between smart driving versions, smart driving products and car models.

[0031] Specifically, Figure 1 A flowchart of a smart driving product matching method based on vehicle model information provided in an embodiment of the present application.

[0032] like Figure 1 As shown, the intelligent driving product matching method based on vehicle model information includes the following steps:

[0033] In step S101 , the vehicle type information of the target vehicle is identified.

[0034] Among them, the target vehicle can be any vehicle that needs to be matched with smart driving products, mainly the vehicle model information synchronized through MES.

[0035] It is understandable that the embodiments of the present application can identify the model information of the target vehicle to facilitate subsequent smart driving product matching.

[0036] In step S102, the intelligent driving function version of the target vehicle is determined based on the vehicle model information.

[0037] Since different vehicle models correspond to different intelligent driving function versions, the embodiment of the present application can determine the intelligent driving function version of the target vehicle based on the vehicle model information, and the specific method is as follows.

[0038] In an embodiment of the present application, determining the intelligent driving function version of the target vehicle based on the vehicle model information also includes: identifying ADCC in the vehicle model information of the target vehicle; if ADCC is identified, obtaining the serial number of ADCC, and determining the intelligent driving function version of the target vehicle based on the serial number.

[0039] Among them, ADCC (Advanced Driving Control Component) is a control component in the vehicle used to implement ADAS or AD, and each such component has a unique identifier - serial number (SN number). The SN number is the unique identifier of the intelligent driving function control component. Cars with intelligent driving capabilities synchronized from the factory production system will have ADCC's unique identification SN number.

[0040] It can be understood that the embodiment of the present application can identify ADCC in the model information of the target vehicle, and after identifying ADCC, obtain the SN number of ADCC, and then determine the intelligent driving function version of the target vehicle based on the SN number.

[0041] In an embodiment of the present application, the intelligent driving version function version includes first to third versions, and the intelligent driving function version of the target vehicle is determined based on the SN number, including: identifying the character string from the first preset position to the second preset position in the SN; if the character string is the first character string, the intelligent driving function version of the target vehicle is the first version; if the character string is the second character string, the intelligent driving function version of the target vehicle is the second version.

[0042] Among them, the intelligent driving function includes three versions. The first version can be the intelligent driving BASE version, the second version can be the intelligent driving MAX version, and the third version can be the intelligent driving MINI version. The first preset position is the fourth digit of the serial number in the serial number, and the second preset position can be the fourteenth digit of the serial number. The specific number of digits can be calibrated according to the manufacturer's rules for serial number encoding. The first character string and the second character string can be set in advance according to the manufacturer's rules. For example, the first character string of the first version is 702000199AA, and the character string of the second version can be 702000045AA.

[0043] It can be understood that the embodiment of the present application can identify the character string from the first preset position to the second preset position in the SN number, and determine the intelligent driving function version of the target vehicle based on the character string.

[0044] For example, the 4th to 14th digits in the SN number are 702000199AA, which is the BASE version of Zhijia;

[0045] The 4th to 14th digits in the SN number 702000045AA are the Intelligent Driving MAX version.

[0046] In an embodiment of the present application, it also includes: if ADCC is not identified, determining that the intelligent driving function version of the target vehicle is the third version.

[0047] It can be understood that, in the embodiment of the present application, if ADCC is not identified in the vehicle model information, the intelligent driving function version of the target vehicle is determined to be the third version.

[0048] In step S103, smart driving products suitable for the target vehicle are matched based on the smart driving function version.

[0049] It can be understood that the embodiments of the present application can match the smart driving products suitable for the target vehicle based on the smart driving function, form a unique association between the smart driving function and the smart driving function version, and facilitate the subsequent maintenance of the smart driving function. Compared with the prior art of manual maintenance in Excel spreadsheets and importing them into the smart driving subscription center, it improves processing efficiency, reduces labor costs, and improves the accuracy of data matching.

[0050] In an embodiment of the present application, matching smart driving products applicable to a target vehicle based on a smart driving function version includes: generating a corresponding smart driving function version tag based on the smart driving function version; and matching smart driving products applicable to the target vehicle based on the smart driving function version tag.

[0051] It can be understood that the embodiments of the present application can generate a corresponding smart driving function label according to the smart driving function version of the target vehicle, and use the smart driving function version label to screen out smart driving products that meet the label in the smart driving mall, thereby ensuring that the smart driving products recommended to the user are compatible with the smart driving function version of their vehicle, thereby ensuring that the user can purchase and activate products suitable for their vehicle configuration.

[0052] In an embodiment of the present application, after matching the smart driving product suitable for the target vehicle based on the smart driving function version, it also includes: displaying the smart driving product on the application platform of the target vehicle.

[0053] It is understandable that the embodiments of the present application can display smart driving products on the application platform of the target vehicle, such as a vehicle-mounted display screen or a mobile phone.

[0054] Specifically, the embodiment of the present application formulates a rule for matching the version of an intelligent driving function (hereinafter referred to as intelligent driving) and an intelligent driving product, which can automatically identify and match the intelligent driving version label according to the SN number rule of the vehicle model ADCC. The rule example is as follows:

[0055] The 4th to 14th digits in the SN are 702000199AA, which is the BASE version of the intelligent driving system;

[0056] The 4th to 14th digits in the SN number 702000045AA are for the Intelligent Driving MAX version;

[0057] There is no ADCC for the Intelligent Driving MINI version.

[0058] Identify the intelligent driving versions of all car models, and uniquely associate them with intelligent driving products in the intelligent driving mall. Then, you can activate the intelligent driving function of the corresponding car model by purchasing intelligent driving products.

[0059] Automatic identification and matching of intelligent driving versions through system rules can save manual maintenance costs and improve maintenance efficiency and accuracy.

[0060] The following is a specific example to describe the intelligent driving product matching method based on vehicle model information in the embodiment of the present application. Figure 2 As shown, the following steps are included:

[0061] Step 1: The intelligent driving service provider provides rules for matching vehicle model information with the intelligent driving version. For example, one of the rules automatically identifies and matches the intelligent driving version label based on the SN number of the vehicle model ADCC. For specific rules, see the example:

[0062] The 4th to 14th digits in the SN are 702000199AA, which is the BASE version of the intelligent driving system;

[0063] The 4th to 14th digits in the SN number 702000045AA are for the Intelligent Driving MAX version;

[0064] There is no ADCC for the Intelligent Driving MINI version.

[0065] Step 2: The SN matching intelligent driving version rules of the above ADCC are built into the TSP system.

[0066] Step 3: Set the timer and start it.

[0067] Step 4: MES synchronizes vehicle model information to TSP.

[0068] Step 5: Automatically trigger the timer: match the rule filtering.

[0069] Step 6: The TSP system automatically identifies and matches the intelligent driving version based on built-in rules.

[0070] Step 7: If recognized, the intelligent driving version label will be automatically marked, such as MAX or BASE or MINI; if not recognized, there is no intelligent driving version, that is, there is no intelligent driving function.

[0071] Step 8: The labeled Zhijia version label can be provided for use in the Zhijia Mall. For example, if you select the Zhijia version when adding a new Zhijia product, the Zhijia product supports the purchase and activation of models marked with this Zhijia version.

[0072] According to the smart driving product matching method based on vehicle model information proposed in the embodiment of the present application, the smart driving function version of the target vehicle can be automatically determined based on the vehicle model information, and then the smart driving product suitable for the target vehicle can be matched according to the smart driving function, so that the smart driving function and the smart driving function version are uniquely associated, and the subsequent maintenance of the smart driving function can be facilitated. Compared with the prior art of manual maintenance and importing into the smart driving subscription center, the processing efficiency is improved, the labor cost is reduced, and the accuracy of data matching is improved.

[0073] Next, the intelligent driving product matching device based on vehicle model information proposed in an embodiment of the present application is described with reference to the accompanying drawings.

[0074] Figure 3 It is a block diagram of an intelligent driving product matching device based on vehicle model information according to an embodiment of the present application.

[0075] like Figure 3 As shown, the intelligent driving product matching device 10 based on vehicle model information includes: a Moaqui identification module 100, a determination module 200 and a matching module 300.

[0076] Among them, the identification module 100 is used to identify the vehicle model information of the target vehicle; the determination module 200 is used to determine the intelligent driving function version of the target vehicle based on the vehicle model information; and the matching module 300 is used to match the intelligent driving products suitable for the target vehicle based on the intelligent driving function version.

[0077] In an embodiment of the present application, the determination module 200 is further used to: identify ADCC in the vehicle model information of the target vehicle; if ADCC is identified, obtain the serial number of ADCC, and determine the intelligent driving function version of the target vehicle based on the serial number.

[0078] In an embodiment of the present application, the intelligent driving version function version includes first to third versions, and the determination module 200 is further used to: identify the character string from the first preset position to the second preset position in the serial number; if the character string is the first character string, the intelligent driving function version of the target vehicle is the first version; if the character string is the second character string, the intelligent driving function version of the target vehicle is the second version.

[0079] In the embodiment of the present application, the device 10 of the embodiment of the present application further includes: a determination module.

[0080] Among them, the determination module is used to determine that the intelligent driving function version of the target vehicle is the third version if ADCC is not identified.

[0081] In an embodiment of the present application, the matching module 300 is further used to: generate a corresponding smart driving function version label based on the smart driving function version; and match smart driving products suitable for the target vehicle based on the smart driving function version label.

[0082] In the embodiment of the present application, the device 10 of the embodiment of the present application further includes: a display module.

[0083] Among them, the display module is used to display the smart driving product on the application platform of the target vehicle after matching the smart driving product suitable for the target vehicle based on the smart driving function version.

[0084] It should be noted that the above explanation of the embodiment of the intelligent driving product matching method based on vehicle type information is also applicable to the intelligent driving product matching device based on vehicle type information of this embodiment, and will not be repeated here.

[0085] According to the smart driving product matching device based on vehicle model information proposed in the embodiment of the present application, the smart driving function version of the target vehicle can be automatically determined based on the vehicle model information, and then the smart driving product suitable for the target vehicle can be matched according to the smart driving function, so as to form a unique association between the smart driving function and the smart driving function version, and facilitate the subsequent maintenance of the smart driving function. Compared with the prior art of manual maintenance and importing into the smart driving subscription center, the processing efficiency is improved, the labor cost is reduced, and the accuracy of data matching is improved.

[0086] Figure 4 A schematic diagram of the structure of the cloud platform provided in the embodiment of the present application. The cloud platform may include:

[0087] Memory 401 , processor 402 , and a computer program stored in the memory 401 and executable on the processor 402 .

[0088] When the processor 402 executes the program, the intelligent driving product matching method based on vehicle model information provided in the above embodiment is implemented.

[0089] Furthermore, the cloud platform also includes:

[0090] The communication interface 403 is used for communication between the memory 401 and the processor 402 .

[0091] The memory 401 is used to store computer programs that can be executed on the processor 402 .

[0092] The memory 401 may include a high-speed RAM memory, and may also include a non-volatile memory (non-volatile memory), such as at least one disk memory.

[0093] If the memory 401, the processor 402 and the communication interface 403 are implemented independently, the communication interface 403, the memory 401 and the processor 402 can be connected to each other through a bus and communicate with each other. The bus can be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus. The bus can be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 4 Only one thick line is used in the diagram, but this does not mean that there is only one bus or only one type of bus.

[0094] Optionally, in a specific implementation, if the memory 401, the processor 402 and the communication interface 403 are integrated on a chip, the memory 401, the processor 402 and the communication interface 403 can communicate with each other through an internal interface.

[0095] The processor 402 may be a central processing unit (CPU), or an application specific integrated circuit (ASIC), or one or more integrated circuits configured to implement the embodiments of the present application.

[0096] An embodiment of the present application also provides a computer-readable storage medium on which a computer program or instruction is stored. When the computer program or instruction is executed by a processor, the above-mentioned intelligent driving product matching method based on vehicle model information is implemented.

[0097] An embodiment of the present application also provides a computer program product, including a computer program or instructions, which, when executed, implements the above-mentioned intelligent driving product matching method based on vehicle model information.

[0098] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present application. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or N embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine the different embodiments or examples described in this specification and the features of the different embodiments or examples, without contradiction.

[0099] In addition, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Therefore, a feature defined as "first" or "second" may explicitly or implicitly include at least one of the features. In the description of this application, "N" means at least two, such as two, three, etc., unless otherwise clearly and specifically defined.

[0100] Any process or method description in a flowchart or otherwise described herein may be understood to represent a module, fragment or portion of code comprising one or N executable instructions for implementing the steps of a custom logical function or process, and the scope of the preferred embodiments of the present application includes alternative implementations in which functions may not be performed in the order shown or discussed, including performing functions in a substantially simultaneous manner or in reverse order depending on the functions involved, which should be understood by technicians in the technical field to which the embodiments of the present application belong.

[0101] It should be understood that the various parts of the present application can be implemented by hardware, software, firmware or a combination thereof. In the above embodiment, the N steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, it can be implemented by any one or a combination of multiple of the following technologies known in the art: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0102] A person skilled in the art may understand that all or part of the steps in the method for implementing the above-mentioned embodiment may be completed by instructing related hardware through a program, and the program may be stored in a computer-readable storage medium, which, when executed, includes one or a combination of the steps of the method embodiment.

Claims

1. A smart driving product matching method based on vehicle model information, characterized in that: The following steps are involved: Identify the model information of the target vehicle; Determine the intelligent driving function version of the target vehicle based on the vehicle model information; Based on the smart driving function version, a smart driving product suitable for the target vehicle is matched.

2. The intelligent driving product matching method based on vehicle model information according to claim 1 is characterized in that: The step of determining the intelligent driving function version of the target vehicle based on the vehicle model information further includes: Identify ADCC in the vehicle model information of the target vehicle; If the ADCC is identified, the serial number of the ADCC is obtained, and the intelligent driving function version of the target vehicle is determined based on the serial number.

3. The intelligent driving product matching method based on vehicle model information according to claim 2 is characterized in that: The intelligent driving version function version includes first to third versions, and determining the intelligent driving function version of the target vehicle based on the serial number includes: Identify a character string from a first preset position to a second preset position in the serial number; If the character string is the first character string, the intelligent driving function version of the target vehicle is the first version; If the character string is the second character string, the intelligent driving function version of the target vehicle is the second version.

4. The intelligent driving product matching method based on vehicle model information according to claim 2 further comprises: If the ADCC is not identified, it is determined that the intelligent driving function version of the target vehicle is the third version.

5. The intelligent driving product matching method based on vehicle model information according to claim 1 is characterized in that: The matching of the smart driving product applicable to the target vehicle based on the smart driving function version includes: Generate a corresponding intelligent driving function version label based on the intelligent driving function version; The smart driving product suitable for the target vehicle is matched based on the smart driving function version label.

6. The intelligent driving product matching method based on vehicle model information according to claim 1 is characterized in that: After matching the smart driving product applicable to the target vehicle based on the smart driving function version, the method further includes: The smart driving product is displayed on the application platform of the target vehicle.

7. An intelligent driving product matching device based on vehicle model information, characterized in that: include: Identification module, used to obtain the model information of the target vehicle; A determination module, used to determine the intelligent driving function version of the target vehicle based on the vehicle model information; A matching module is used to match smart driving products suitable for the target vehicle based on the smart driving function version.

8. A cloud platform, characterized in that: include: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the intelligent driving product matching method based on vehicle model information as described in any one of claims 1 to 6.

9. A computer-readable storage medium having a computer program or instruction stored thereon, characterized in that: The computer program or instruction is executed by a processor to implement the intelligent driving product matching method based on vehicle model information as described in any one of claims 1 to 6.

10. A computer program product comprising a computer program or instructions, characterized in that When the computer program or instruction is executed, the intelligent driving product matching method based on vehicle model information as described in any one of claims 1 to 6 is implemented.

Images