Vehicle health examination visual report generation method and system, and storage medium

Abstract

The invention provides a vehicle health examination visualization report generation method and system and a storage medium, and the method comprises the steps: obtaining the feature parameters of a vehicle, constructing a multi-dimensional database according to the feature parameters, and marking the association rules of the feature parameters and detection points in the multi-dimensional database; generating a detection item list through a rule engine and a machine learning model according to the multi-dimensional database; in the detection process, the detection items and the detection points are fused with the multimedia technology, a 3D model of the vehicle part is established, the abnormal part is displayed, the AR technology is fused with the real video of the vehicle part, and a vehicle health examination visual report is generated. Through the technical scheme of the invention, the coverage rate of workshop detection items is improved, the omission ratio is effectively reduced, the conversion rate of the detection items is improved, the understanding efficiency of vehicle owners for vehicle condition problems is enhanced, and vehicle faults or potential problems are displayed more visually.

Description

Technical Field

[0001] The present application relates to the field of vehicle inspection technology, and more specifically, to a method and system for generating a visual report of a vehicle health check, and a storage medium. Background Art

[0002] During the current after-sales vehicle health inspection process, traditional vehicle condition reports are mostly recorded and managed manually, lacking detailed and intuitive data reports. First, due to the difficulty in becoming a car owner, ordinary car owners cannot understand professional inspection data. Secondly, during the vehicle inspection and maintenance process, information asymmetry and the lack of transparency in traditional reports lead to a crisis of trust. Finally, the limitations of the existing technology make it impossible to provide car owners with immersive reports adapted to their own vehicles. Summary of the Invention

[0003] This application aims to solve or improve the above technical problems.

[0004] To this end, the first purpose of this application is to provide a method for generating a vehicle health inspection visualization report.

[0005] The second objective of this application is to provide a system for generating a vehicle health inspection visualization report.

[0006] The third objective of this application is to provide a system for generating a vehicle health inspection visualization report.

[0007] The fourth object of this application is to provide a readable storage medium.

[0008] To achieve the first purpose of this application, the technical solution of the first aspect of this application provides a method for generating a vehicle health inspection visualization report, including: obtaining characteristic parameters of the vehicle, constructing a multidimensional database based on the characteristic parameters, and marking the association rules between the characteristic parameters and the inspection points in the multidimensional database; generating a list of inspection items based on the multidimensional database through a rule engine and a machine learning model; inspecting the vehicle according to the list of inspection items, and integrating the inspection items and inspection points with multimedia technology during the inspection process, establishing a 3D model of vehicle components and displaying abnormal components, and integrating AR technology with real videos of vehicle components to generate a vehicle health inspection visualization report.

[0009] According to the method for generating a visual vehicle health check report provided in this application, the characteristic parameters of the vehicle are first obtained, a multidimensional database is constructed based on the characteristic parameters, and the association rules between the characteristic parameters and the inspection points are annotated in the multidimensional database. Then, a dynamic matching algorithm is constructed. Based on the rule engine and machine learning model, a list of inspection items is automatically generated after the vehicle characteristics are input, and high-risk components are prioritized to recommend a list of vehicle health check items for specific individual vehicles. Finally, the vehicle is inspected according to the list of inspection items, and during the inspection process, the inspection items and inspection points are integrated with multimedia technology to establish a 3D (3-dimensional) model of the vehicle components and display abnormal components. AR (Augmented Reality) technology is integrated with real videos of vehicle components to generate a visual vehicle health check report. By providing precise inspection templates and personalized inspection reports for car owners' vehicles, the coverage rate of workshop inspection items is improved, the missed inspection rate is effectively reduced, and the conversion rate of inspection items is improved. Vehicle health inspections can be carried out more accurately, covering vehicle condition diagnosis in multiple scenarios. Abnormal problem items detected are effectively converted into maintenance items. The multi-modal vehicle condition report display method based on 3D models and AR fusion enhances the owner's understanding of vehicle condition problems, and more intuitively displays vehicle faults or potential problems. Through intuitive visualization and immersive vehicle condition report experience and vehicle condition analysis and interpretation, the owner's understanding of vehicle problems is enhanced.

[0010] In some technical solutions, the vehicle is optionally inspected according to a list of inspection items, and during the inspection process, the inspection items and inspection points are integrated with multimedia technology to build a 3D model of the vehicle parts and display abnormal parts, and AR technology is integrated with real videos of vehicle parts to generate a vehicle health inspection visualization report, including: recording abnormal conditions of the inspection points through photos or videos, combining the automatic data reading of the inspection equipment, and displaying the vehicle health inspection visualization report to the user.

[0011] In this technical solution, the vehicle can optionally be inspected according to a list of inspection items, and during the inspection process, the inspection items and inspection points are integrated with multimedia technology to create a 3D model of the vehicle components and display abnormal components. AR technology is then integrated with real videos of vehicle components to generate a visual report of the vehicle health check. Specifically, abnormal conditions at the inspection points are recorded through photos or videos, and the visual report of the vehicle health check is presented to the user in combination with the automatic data reading of the inspection equipment. Through the effective integration of inspection items and inspection points with multimedia technology, during the inspection process, abnormal conditions at the inspection points are recorded through photos, videos, etc., and combined with the automatic data reading of the inspection equipment, a visual and illustrated vehicle condition report is presented to the car owner. This enhances the car owner's understanding of vehicle condition issues and more intuitively displays vehicle faults or potential problems.

[0012] In some technical solutions, the vehicle is optionally inspected according to a list of inspection items, and during the inspection process, the inspection items and inspection points are integrated with multimedia technology to establish a 3D model of the vehicle parts and display abnormal parts, and AR technology is integrated with real videos of vehicle parts to generate a vehicle health inspection visualization report, which also includes: through vehicle 3D modeling and annotation, a 3D model of the vehicle parts is established, and when there are abnormal detection items, the abnormal parts are displayed through a 3D model explosion diagram and color marking.

[0013] In this technical solution, high-precision 3D models of vehicle components are established through vehicle 3D modeling and annotation. For abnormal items detected, the abnormal components are displayed in detail through the 3D model explosion diagram and can be color-coded, which enhances the owner's understanding of vehicle conditions and more intuitively displays vehicle faults or potential problems.

[0014] In some technical solutions, optionally, the vehicle is inspected according to a list of inspection items, and during the inspection process, the inspection items and inspection points are integrated with multimedia technology to establish a 3D model of the vehicle parts and display abnormal parts, and AR technology is integrated with real videos of vehicle parts to generate a vehicle health inspection visualization report. It also includes: through an AR display development framework, AR technology is integrated with real videos of vehicle parts and displayed.

[0015] In this technical solution, the AR display development framework is combined with real videos of vehicle components to achieve spatial anchoring of 3D models and real vehicle components. It supports scaling, rotation and interaction through large screens and mobile terminals, which enhances the owner's understanding of vehicle conditions and more intuitively displays vehicle faults or potential problems. Through intuitive visualization and immersive vehicle condition report experience and vehicle condition analysis and interpretation, the owner's understanding of vehicle problems is enhanced.

[0016] In some technical solutions, optionally, the method for generating a vehicle health check visualization report also includes: obtaining real-time detection data; displaying the real-time detection data in the form of a floating label in the AR interface, and in response to a click trigger of the floating label, displaying the vehicle condition report and an intelligent interpretation combined with the AI ​​large model to the user.

[0017] In this technical solution, the method for generating a visual vehicle health check report also includes acquiring real-time inspection data. This data is displayed as floating labels within the AR interface. Clicking the labels triggers the display and intelligent interpretation combined with the AI ​​large-scale model. This intuitive visualization and immersive vehicle condition report and analysis experience enhances the owner's understanding of vehicle issues.

[0018] In some technical solutions, optionally, the characteristic parameters include one of the following or a combination thereof: vehicle model, year, mileage, and configuration parameters.

[0019] In this technical solution, the characteristic parameters include one of the following or a combination thereof: vehicle model, year, mileage and configuration parameters.

[0020] In some technical solutions, optionally, the real-time detection data includes tire pressure and / or voltage.

[0021] In this technical solution, the real-time detection data includes tire pressure and / or voltage.

[0022] To achieve the second purpose of this application, the technical solution of the second aspect of this application provides a system for generating a vehicle health inspection visualization report, including: a database establishment module, used to obtain the characteristic parameters of the vehicle, construct a multi-dimensional database based on the characteristic parameters, and mark the association rules between the characteristic parameters and the inspection points in the multi-dimensional database; a list generation module, used to generate a list of inspection items based on the multi-dimensional database through a rule engine and a machine learning model; a visualization report generation module, used to inspect the vehicle according to the list of inspection items, and integrate the inspection items and inspection points with multimedia technology during the inspection process, establish a 3D model of the vehicle parts and display abnormal parts, and integrate AR technology with real videos of vehicle parts to generate a vehicle health inspection visualization report.

[0023] The system for generating a visual report of a vehicle health check provided by the present application includes a database establishment module, a list generation module and a visual report generation module. Among them, the database establishment module is used to obtain the characteristic parameters of the vehicle, build a multi-dimensional database based on the characteristic parameters, and mark the association rules between the characteristic parameters and the detection points in the multi-dimensional database. The list generation module is used to generate a list of detection items based on the multi-dimensional database through a rule engine and a machine learning model. The visual report generation module is used to detect the vehicle according to the list of detection items, and during the detection process, the detection items and detection points are integrated with multimedia technology to establish a 3D model of the vehicle parts and display abnormal parts, and to integrate AR technology with real videos of vehicle parts to generate a visual report of the vehicle health check. By providing precise inspection templates and personalized inspection reports for car owners' vehicles, the coverage rate of workshop inspection items is improved, the missed inspection rate is effectively reduced, and the conversion rate of inspection items is improved. Vehicle health inspections can be carried out more accurately, covering vehicle condition diagnosis in multiple scenarios. Abnormal problem items detected are effectively converted into maintenance items. The multi-modal vehicle condition report display method based on 3D models and AR fusion enhances the owner's understanding of vehicle condition problems, and more intuitively displays vehicle faults or potential problems. Through intuitive visualization and immersive vehicle condition report experience and vehicle condition analysis and interpretation, the owner's understanding of vehicle problems is enhanced.

[0024] In order to achieve the third purpose of this application, the technical solution of the third aspect of this application provides a system for generating a vehicle health check visualization report, including: a memory and a processor, wherein the memory stores a program or instruction that can be run on the processor, and when the processor executes the program or instruction, it implements the steps of the method for generating a vehicle health check visualization report of any one of the technical solutions of the first aspect, and therefore has the technical effect of any of the technical solutions of the first aspect mentioned above, which will not be repeated here.

[0025] In order to achieve the fourth purpose of this application, the technical solution of the fourth aspect of this application provides a readable storage medium on which a program or instruction is stored. When the program or instruction is executed by the processor, the steps of the method for generating a vehicle health inspection visualization report of any one of the technical solutions of the first aspect are implemented, and therefore it has the technical effect of any of the technical solutions of the first aspect mentioned above, which will not be repeated here.

[0026] Additional aspects and advantages of the present application will become apparent in the following description or may be learned through practice of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] The above and / or additional aspects and advantages of the present application will become apparent and easily understood from the description of the embodiments in conjunction with the following drawings, in which: Figure 1 A schematic flow chart of the steps of a method for generating a vehicle health inspection visual report according to an embodiment of the present application; Figure 2 A schematic flow chart of the steps of a method for generating a vehicle health inspection visual report according to an embodiment of the present application; Figure 3 A schematic flow chart of the steps of a method for generating a vehicle health inspection visual report according to an embodiment of the present application; Figure 4 A schematic flow chart of the steps of a method for generating a vehicle health inspection visual report according to an embodiment of the present application; Figure 5 A schematic flow chart of the steps of a method for generating a vehicle health inspection visual report according to an embodiment of the present application; Figure 6 This is a schematic block diagram of the structure of a system for generating a vehicle health inspection visual report according to an embodiment of the present application; Figure 7 This is a schematic block diagram of the structure of a system for generating a vehicle health inspection visual report according to another embodiment of the present application; Figure 8 A schematic diagram of a vehicle health check visualization report of a vehicle health check visualization report generation system according to an embodiment of the present application; Figure 9 A schematic diagram of a vehicle health check visualization report of a vehicle health check visualization report generation system according to an embodiment of the present application.

[0028] in, Figure 6 and Figure 7 The corresponding relationship between the reference numerals and component names is as follows: 10: System for generating a visual report of a vehicle health check; 110: Database establishment module; 120: List generation module; 130: Visual report generation module; 20: System for generating a visual report of a vehicle health check; 300: Memory; 400: Processor. DETAILED DESCRIPTION

[0029] In order to more clearly understand the above-mentioned objects, features and advantages of the present application, the present application is further described in detail below in conjunction with the accompanying drawings and specific embodiments. It should be noted that the embodiments of the present application and the features therein can be combined with each other in the absence of conflict.

[0030] In the following description, many specific details are set forth to facilitate a full understanding of the present application. However, the present application may also be implemented in other ways different from those described herein. Therefore, the scope of protection of the present application is not limited to the specific embodiments disclosed below.

[0031] Refer to the following Figures 1 to 9 Describes a method and system for generating a vehicle health inspection visualization report and a readable storage medium in some embodiments of the present application.

[0032] like Figure 1 As shown, an embodiment of the first aspect of the present application provides a method for generating a vehicle health inspection visualization report, comprising the following steps: Step S102: Acquire characteristic parameters of the vehicle, construct a multi-dimensional database based on the characteristic parameters, and annotate association rules between the characteristic parameters and detection points in the multi-dimensional database; Step S104: Generate a list of inspection items based on the multi-dimensional database through a rule engine and a machine learning model; Step S106: Inspect the vehicle according to the inspection item list, and integrate the inspection items and inspection points with multimedia technology during the inspection process to build a 3D model of the vehicle parts and display abnormal parts, and integrate AR technology with the real video of the vehicle parts to generate a vehicle health inspection visualization report.

[0033] According to the method for generating a vehicle health check visualization report provided in this embodiment, the characteristic parameters of the vehicle are first obtained, a multidimensional database is constructed based on the characteristic parameters, and the association rules between the characteristic parameters and the detection points are annotated in the multidimensional database. Then, a dynamic matching algorithm is constructed. Based on the rule engine and machine learning model, a list of detection items is automatically generated after the vehicle characteristics are input, high-risk components are prioritized, and a list of vehicle health check items for specific personalized vehicles is recommended. Finally, the vehicle is inspected according to the list of detection items, and during the inspection process, the detection items and detection points are integrated with multimedia technology to create a 3D model of the vehicle components and display abnormal components. AR technology is then integrated with real videos of vehicle components to generate a vehicle health check visualization report. By providing precise inspection templates and personalized inspection reports for car owners' vehicles, the coverage rate of workshop inspection items is improved, the missed inspection rate is effectively reduced, and the conversion rate of inspection items is improved. Vehicle health inspections can be carried out more accurately, covering vehicle condition diagnosis in multiple scenarios. Abnormal problem items detected are effectively converted into maintenance items. The multi-modal vehicle condition report display method based on 3D models and AR fusion enhances the owner's understanding of vehicle condition problems, and more intuitively displays vehicle faults or potential problems. Through intuitive visualization and immersive vehicle condition report experience and vehicle condition analysis and interpretation, the owner's understanding of vehicle problems is enhanced.

[0034] like Figure 2 As shown, according to a method for generating a vehicle health inspection visualization report according to an embodiment of the present application, a vehicle is inspected according to a list of inspection items, and during the inspection process, the inspection items and inspection points are integrated with multimedia technology to establish a 3D model of the vehicle components and display abnormal components, and AR technology is integrated with real videos of the vehicle components to generate a vehicle health inspection visualization report. The method specifically includes the following steps: Step S202: Record abnormal conditions at the inspection points by means of photos or videos, and display a visual report of the vehicle health inspection to the user in combination with the automatic data reading of the inspection equipment.

[0035] In this embodiment, the vehicle is inspected according to a list of inspection items, and during the inspection process, the inspection items and inspection points are integrated with multimedia technology to create a 3D model of the vehicle components and display abnormal components. AR technology is also integrated with real videos of vehicle components to generate a visual report of the vehicle health check. Specifically, abnormal conditions of the inspection points are recorded through photos or videos, and the vehicle health check visual report is displayed to the user in combination with the automatic data reading of the inspection equipment. Through the effective integration of inspection items and inspection points with multimedia technology, during the inspection process, abnormal conditions of the inspection points are recorded through photos, videos, etc., and the vehicle health check visual report is presented to the car owner in combination with automatic data reading of the inspection equipment. This enhances the car owner's understanding of vehicle condition issues and more intuitively displays vehicle faults or potential problems.

[0036] like Figure 3 As shown, according to an embodiment of the present application, a method for generating a vehicle health inspection visualization report is provided. The vehicle is inspected according to a list of inspection items, and during the inspection process, the inspection items and inspection points are integrated with multimedia technology to establish a 3D model of the vehicle components and display abnormal components. The AR technology is integrated with the real video of the vehicle components to generate a vehicle health inspection visualization report. The method also includes the following steps: Step S302: Through vehicle 3D modeling and annotation, a 3D model of the vehicle components is established. When there are abnormal items detected, the abnormal components are displayed through the 3D model explosion diagram and color-coded.

[0037] In this embodiment, high-precision 3D models of various vehicle components are established through vehicle 3D modeling and labeling. For detected abnormal items, the abnormal components are displayed in detail through the 3D model explosion diagram and can be color-coded, which enhances the owner's understanding of vehicle conditions and more intuitively displays vehicle faults or potential problems.

[0038] like Figure 4 As shown, according to an embodiment of the present application, a method for generating a vehicle health inspection visualization report is provided. The vehicle is inspected according to a list of inspection items, and during the inspection process, the inspection items and inspection points are integrated with multimedia technology to establish a 3D model of the vehicle components and display abnormal components. The AR technology is integrated with the real video of the vehicle components to generate a vehicle health inspection visualization report. The method also includes the following steps: Step S402: Using the AR display development framework, AR technology is integrated with the real video of the vehicle components and displayed.

[0039] In this embodiment, through the AR display development framework, combined with real videos of vehicle parts, spatial anchoring of 3D models and real vehicle parts is achieved, and scaling, rotation and interaction through large screens and mobile terminals are supported, which enhances the efficiency of car owners' understanding of vehicle conditions and more intuitively displays vehicle faults or potential problems. Through intuitive visualization and immersive vehicle condition report experience and vehicle condition analysis and interpretation, the car owner's understanding of vehicle problems is enhanced.

[0040] like Figure 5 As shown, the method for generating a vehicle health inspection visualization report according to an embodiment of the present application further includes the following steps: Step S502: Acquire real-time detection data; Step S504: Display the real-time detection data in the form of a floating label in the AR interface. In response to the click trigger of the floating label, the vehicle condition report and the intelligent interpretation combined with the AI ​​large model are displayed to the user.

[0041] In this embodiment, the method for generating a visual vehicle health check report also includes acquiring real-time inspection data. This real-time inspection data is displayed in the AR interface as a floating label. Clicking the label triggers the display and intelligent interpretation combined with the AI ​​large model. Through intuitive visualization and immersive vehicle condition report experience and vehicle condition analysis interpretation, the vehicle owner's understanding of vehicle problems is enhanced.

[0042] In some embodiments, optionally, the characteristic parameters include one of the following or a combination thereof: vehicle model, year, mileage, and configuration parameters.

[0043] In some embodiments, optionally, the real-time detection data includes tire pressure and / or voltage.

[0044] like Figure 6 As shown, an embodiment of the second aspect of the present application provides a system 10 for generating a vehicle health inspection visualization report, including: a database establishment module 110, used to obtain characteristic parameters of the vehicle, build a multi-dimensional database based on the characteristic parameters, and mark the association rules between the characteristic parameters and the detection points in the multi-dimensional database; a list generation module 120, used to generate a list of detection items based on the multi-dimensional database through a rule engine and a machine learning model; a visualization report generation module 130, used to inspect the vehicle according to the list of detection items, and integrate the detection items and detection points with multimedia technology during the detection process, establish a 3D model of the vehicle parts and display abnormal parts, and integrate AR technology with real videos of vehicle parts to generate a vehicle health inspection visualization report.

[0045] The system 10 for generating a visual report of a vehicle health check provided in this embodiment includes a database establishment module 110, a list generation module 120, and a visual report generation module 130. The database establishment module 110 is used to obtain characteristic parameters of the vehicle, construct a multi-dimensional database based on the characteristic parameters, and mark the association rules between the characteristic parameters and the detection points in the multi-dimensional database. The list generation module 120 is used to generate a list of detection items based on the multi-dimensional database through a rule engine and a machine learning model. The visual report generation module 130 is used to inspect the vehicle according to the list of detection items, and integrate the detection items and detection points with multimedia technology during the detection process, establish a 3D model of the vehicle components and display abnormal components, and integrate AR technology with real videos of vehicle components to generate a visual report of the vehicle health check. By providing precise inspection templates and personalized inspection reports for car owners' vehicles, the coverage rate of workshop inspection items is improved, the missed inspection rate is effectively reduced, and the conversion rate of inspection items is improved. Vehicle health inspections can be carried out more accurately, covering vehicle condition diagnosis in multiple scenarios. Abnormal problem items detected are effectively converted into maintenance items. The multi-modal vehicle condition report display method based on 3D models and AR fusion enhances the owner's understanding of vehicle condition problems, and more intuitively displays vehicle faults or potential problems. Through intuitive visualization and immersive vehicle condition report experience and vehicle condition analysis and interpretation, the owner's understanding of vehicle problems is enhanced.

[0046] like Figure 7 As shown, an embodiment of the third aspect of the present application provides a system 20 for generating a vehicle health check visualization report, comprising: a memory 300 and a processor 400, wherein the memory 300 stores a program or instruction that can be run on the processor 400, and when the processor 400 executes the program or instruction, it implements the steps of the method for generating a vehicle health check visualization report of any one of the embodiments of the first aspect, and thus has the technical effects of any one of the embodiments of the first aspect mentioned above, which will not be repeated here.

[0047] An embodiment of the fourth aspect of the present application provides a readable storage medium on which a program or instruction is stored. When the program or instruction is executed by a processor, the steps of the method for generating a vehicle health inspection visualization report of any one of the embodiments of the first aspect are implemented, and thus the technical effects of any one of the embodiments of the first aspect are achieved, which will not be repeated here.

[0048] like Figure 8 and Figure 9 As shown, according to a specific embodiment of the vehicle health inspection visualization report generation method provided by this application, a technical implementation scheme for dynamically adapting vehicle inspection items based on a dynamic rule engine is as follows: Through the vehicle feature database, a multi-dimensional database including model, year, mileage and configuration parameters is constructed, and the association rules between each parameter and the detection point are marked; Build a dynamic matching algorithm based on a rule engine and machine learning model. After inputting vehicle characteristics, it automatically generates a list of inspection items, prioritizes high-risk components, and recommends a list of vehicle health inspection items for specific individual vehicles.

[0049] Technical implementation of multi-modal visual vehicle inspection report display: The effective integration of inspection items and inspection points with multimedia technology allows abnormal conditions at inspection points to be recorded through photos and videos during the inspection process. Combined with the automatic data reading of the inspection equipment, this report presents an intuitive and visual vehicle condition report to the vehicle owner with both pictures and text. Through vehicle 3D modeling and annotation, high-precision 3D models of various vehicle components are established. For abnormal items detected, the abnormal parts are displayed in detail through the 3D model explosion view and can be color-coded.

[0050] Technical implementation solution for immersive interactive experience of AR vehicle inspection report: AR display engine development: Using the AR display development framework, combined with real-world vehicle component videos, the 3D model is spatially anchored to the real vehicle components, supporting scaling, rotation, and interaction on large screens and mobile devices. Dynamic data rendering: Real-time detection data (such as tire pressure and voltage) is displayed in the AR interface in the form of floating labels. Clicking the label can trigger the display and intelligent interpretation combined with the AI ​​large model.

[0051] like Figure 8 and Figure 9 As shown, this embodiment has been used in multiple online production systems and has passed business testing and verification.

[0052] In summary, the beneficial effects of the embodiments of the present application are: 1. The advantage of this embodiment is that it provides precise inspection templates and personalized inspection reports for vehicle owners' vehicles, improves the coverage of workshop inspection items, effectively reduces the missed inspection rate, and improves the conversion rate of inspection items. By implementing this invention, dealers can conduct more accurate vehicle health checks, covering vehicle condition diagnosis in multiple scenarios, such as maintenance, off-roading, and wading. Abnormal problem items detected can be effectively converted into maintenance items, thereby increasing store output value.

[0053] 2. The multimodal vehicle condition report display method based on 3D models and AR fusion provided in this embodiment enhances the owner's understanding of vehicle condition issues and more intuitively displays vehicle faults or potential problems. Through intuitive visualization and immersive vehicle condition report experience and vehicle condition analysis and interpretation, the owner's understanding of vehicle problems is enhanced, the owner's trust in the store and brand is increased, and the customer experience and customer satisfaction are enhanced.

[0054] In this application, the terms "first," "second," and "third" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance. The term "plurality" refers to two or more, unless expressly limited otherwise. Terms such as "installed," "connected," "connected," and "fixed" should be understood in a broad sense. For example, "connected" can mean a fixed connection, a detachable connection, or an integral connection; "connected" can mean a direct connection or an indirect connection through an intermediary. Those skilled in the art can understand the specific meanings of the above terms in this application based on the specific circumstances.

[0055] In the description of this application, it should be understood that the terms "upper", "lower", "front", "back", etc., indicating directions or positional relationships, are based on the directions or positional relationships shown in the accompanying drawings, and are only for the convenience of describing this application and simplifying the description, rather than indicating or implying that the system or module referred to must have a specific direction, be constructed and operated in a specific direction. Therefore, they should not be understood as limitations on this application.

[0056] Throughout this specification, terms such as "one embodiment," "some embodiments," and "specific embodiments" mean that the specific features, structures, materials, or characteristics described in conjunction with that embodiment or example are included in at least one embodiment or example of the present application. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.

[0057] The above are merely preferred embodiments of the present application and are not intended to limit the present application. Those skilled in the art will readily appreciate that various modifications and variations are possible. Any modifications, equivalent substitutions, or improvements made within the spirit and principles of the present application shall be included within the scope of protection of the present application.

Claims

1. A method for generating a vehicle health inspection visualization report, characterized in that: include: Acquire characteristic parameters of the vehicle, construct a multidimensional database based on the characteristic parameters, and mark association rules between the characteristic parameters and detection points in the multidimensional database; Generate a list of inspection items based on the multi-dimensional database using a rule engine and a machine learning model; The vehicle is inspected according to the inspection item list, and during the inspection process, the inspection items and inspection points are integrated with multimedia technology to establish 3D models of vehicle parts and display abnormal parts, and AR technology is integrated with real videos of vehicle parts to generate a vehicle health inspection visualization report.

2. The method for generating a vehicle health inspection visualization report according to claim 1, characterized in that: The vehicle is inspected according to the inspection item list, and during the inspection process, the inspection items and inspection points are integrated with multimedia technology to build a 3D model of the vehicle parts and display abnormal parts, and AR technology is integrated with the real video of the vehicle parts to generate a vehicle health inspection visualization report, including: Abnormal conditions at the inspection points are recorded by means of photos or videos, and combined with the automatic data reading of the inspection equipment, a visual report of the vehicle health inspection is presented to the user.

3. The method for generating a vehicle health inspection visualization report according to claim 2, characterized in that: The vehicle is inspected according to the inspection item list, and during the inspection process, the inspection items and inspection points are integrated with multimedia technology to build a 3D model of the vehicle parts and display abnormal parts, and AR technology is integrated with the real video of the vehicle parts to generate a visual report of the vehicle health inspection, which also includes: Through vehicle 3D modeling and annotation, a 3D model of vehicle components is established. When abnormal items are detected, the abnormal components are displayed through the 3D model explosion view and color-coded.

4. The method for generating a vehicle health inspection visualization report according to claim 3, characterized in that: The vehicle is inspected according to the inspection item list, and during the inspection process, the inspection items and inspection points are integrated with multimedia technology to build a 3D model of the vehicle parts and display abnormal parts, and AR technology is integrated with the real video of the vehicle parts to generate a visual report of the vehicle health inspection, which also includes: Through the AR display development framework, AR technology is integrated with real videos of vehicle components and displayed.

5. The method for generating a vehicle health inspection visualization report according to claim 4, characterized in that: Also includes: Obtain real-time detection data; The real-time detection data is displayed in the AR interface in the form of a floating label. In response to the click trigger of the floating label, the vehicle condition report and the intelligent interpretation combined with the AI ​​large model are displayed to the user.

6. The method for generating a vehicle health inspection visualization report according to claim 5, characterized in that: The characteristic parameters include one of the following or a combination thereof: vehicle model, year, mileage and configuration parameters.

7. The method for generating a vehicle health inspection visualization report according to claim 5, characterized in that: The real-time detection data includes tire pressure and / or voltage.

8. A system for generating a vehicle health inspection visual report, characterized in that: include: A database establishment module (110) is used to obtain characteristic parameters of the vehicle, construct a multi-dimensional database based on the characteristic parameters, and mark association rules between the characteristic parameters and detection points in the multi-dimensional database; A list generation module (120) is used to generate a list of inspection items based on the multi-dimensional database through a rule engine and a machine learning model; A visual report generation module (130) is used to inspect the vehicle according to the inspection item list, and integrate the inspection items and inspection points with multimedia technology during the inspection process to establish a 3D model of vehicle parts and display abnormal parts, and integrate AR technology with real video of vehicle parts to generate a vehicle health inspection visual report.

9. A system for generating a vehicle health inspection visual report, characterized in that: include: A memory (300) and a processor (400), wherein the memory (300) stores a program or instruction that can be run on the processor (400), and when the processor (400) executes the program or the instruction, the steps of the method for generating a vehicle health inspection visualization report according to any one of claims 1 to 7 are implemented.

10. A readable storage medium having a program or instruction stored thereon, characterized in that: When the program or the instructions are executed by a processor, the steps of the method for generating a vehicle health inspection visualization report according to any one of claims 1 to 7 are implemented.

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