Vehicle maintenance package intelligent identification and material customization recommendation system

Abstract

The invention discloses a vehicle maintenance package intelligent identification and material customization recommendation system, and the system comprises a data input module which is used for receiving vehicle model information and driving kilometers; the data processing and checking module checks and confirms the vehicle information through a built-in vehicle database and an optical character recognition (OCR) technology; the real-time updating and compatibility optimizing module is used for establishing a cloud dynamic database and is in butt joint with data interfaces of global main automobile manufacturers to realize real-time synchronization of automobile model data and maintenance standards; and the personalized algorithm module is used for constructing a user behavior model based on the historical maintenance record, the vehicle use frequency and the driving environment and providing personalized maintenance suggestions. According to the invention, through the measures of improving a data processing and verification mechanism, real-time updating and compatibility optimization, personalized algorithm optimization, cost-benefit intelligent analysis, enhancement of transparency and user trust, optimization of user experience and education, enhancement of data security and privacy protection, etc. The intelligent maintenance recommendation system which is more accurate, efficient, personalized and safe is provided, comprehensive maintenance services are provided for vehicle owners, the vehicle maintenance efficiency is improved, and the service life of vehicles is prolonged.

Description

Technical Field

[0001] The present invention relates to the technical field of vehicle maintenance, and in particular to a vehicle maintenance package intelligent identification and material customization recommendation system. Background Art

[0002] With the rapid development of the automobile industry and the improvement of people's living standards, the number of vehicles has increased significantly, and with it comes a growing demand for vehicle maintenance. Traditional vehicle maintenance usually relies on the owner's own judgment or the advice of maintenance technicians. This method is not only time-consuming and labor-intensive, but may also cause vehicle failure or performance degradation due to inaccurate or untimely maintenance items.

[0003] In recent years, the development of intelligent technology has brought new opportunities for vehicle maintenance. By collecting and analyzing vehicle data, the intelligent maintenance recommendation system can provide car owners with more scientific and timely maintenance suggestions. However, the existing intelligent maintenance recommendation system still has some shortcomings and challenges in practical applications, mainly including the following aspects: The accuracy of the recommendations of the intelligent maintenance recommendation system is highly dependent on the accuracy of the input data. If the vehicle model information and mileage provided by the user are incorrect, the system may generate inapplicable maintenance suggestions, affecting the maintenance effect.

[0004] As automakers continue to launch new models and technologies, maintenance requirements are also constantly changing. If the intelligent maintenance recommendation system fails to update data in a timely manner, it may not cover the maintenance information of the latest models, affecting the accuracy and timeliness of the recommendations; Car owners have different driving habits and vehicle usage environments, and standardized maintenance recommendations may not meet the personalized needs of all users. For example, vehicle maintenance requirements under extreme climate conditions may be different from conventional recommendations; Existing systems may focus on recommending standard maintenance items without careful cost-effectiveness analysis, and may sometimes recommend services or materials that are more expensive but have limited utility, increasing the financial burden on users; Some users are skeptical of automated recommendation systems, especially regarding the lack of transparency in the recommendation logic, and may worry about the commercial drive of over-maintaining recommendations; How the system presents complex maintenance information in an easy-to-understand way and how to effectively educate users to understand the logic behind the recommendations are the keys to improving user experience. Deficiencies in this area may affect users' enthusiasm for adopting recommendations. In the process of collecting and analyzing user vehicle data, it is necessary to ensure data security and avoid personal information leakage, which requires strong data encryption technology and strict privacy protection policies. Summary of the invention

[0005] In order to solve the above problems, the present invention provides a vehicle maintenance package intelligent identification and material customized recommendation system, which provides a more accurate, efficient, personalized and secure intelligent maintenance recommendation system by improving data processing and verification mechanism, real-time update and compatibility optimization, personalized algorithm optimization, cost-effectiveness intelligent analysis, enhancing transparency and user trust, optimizing user experience and education, and strengthening data security and privacy protection, so as to provide comprehensive maintenance services for car owners, improve vehicle maintenance efficiency and extend vehicle service life.

[0006] The present invention is implemented by the following technical solution: a vehicle maintenance package intelligent identification and material customization recommendation system, the system comprising: A data input module, used for receiving vehicle model information and mileage; Data processing and verification module, which verifies and confirms vehicle information through built-in vehicle database and optical character recognition (OCR) technology; Real-time update and compatibility optimization module, which is used to establish a dynamic cloud database and connect with the data interfaces of major global automakers to achieve real-time synchronization of vehicle model data and maintenance standards; Personalized algorithm module, which builds a user behavior model based on historical maintenance records, vehicle usage frequency and driving environment, and provides personalized maintenance recommendations; Cost-effectiveness intelligent analysis module, which analyzes the cost and expected effect of different maintenance plans and recommends the most cost-effective maintenance combination; User interface module, providing maintenance item analysis and user evaluation system; An interactive maintenance knowledge base module, including maintenance tips videos and an AI chatbot; Data security and privacy protection module, used to ensure the security and privacy protection of user data.

[0007] As a preferred technical solution, the data processing and verification module uses a double verification mechanism, including built-in vehicle database matching verification and OCR technology scanning verification, to ensure the accuracy and completeness of vehicle information.

[0008] As a preferred technical solution, the real-time update and compatibility optimization module adopts a microservice architecture to ensure that the system can be quickly deployed and seamlessly compatible with the latest car models or maintenance technology updates.

[0009] As a preferred technical solution, the personalized algorithm module uses a deep learning algorithm to build a user behavior model based on multi-dimensional data, and predicts vehicle maintenance needs through continuous learning and optimization.

[0010] As a preferred technical solution, the cost-effectiveness intelligent analysis module integrates intelligent algorithms to analyze the price fluctuations of accessories in the market and provide multiple maintenance plan comparison options.

[0011] As a preferred technical solution, the user interface module includes a maintenance item analysis module and a user evaluation system to increase transparency and user trust.

[0012] As a preferred technical solution, the interactive maintenance knowledge base module is combined with an artificial intelligence chat robot to provide users with instant maintenance knowledge education and question answers.

[0013] As a preferred technical solution, the data security and privacy protection module adopts end-to-end encryption to ensure the security of user data during transmission and storage.

[0014] As a preferred technical solution, the user interface module provides diagrams, video displays and detailed cost structure explanations of maintenance items to help users understand the necessity and expected effects of recommended items.

[0015] As a preferred technical solution, the data security and privacy protection module adopts end-to-end encryption technology and multi-layer access control to ensure the security and privacy protection of user data, comply with international privacy protection regulations such as GDPR, and provide a data deletion request option.

[0016] The beneficial effects of the present invention are as follows: the present invention adopts a dual verification mechanism through a data processing and verification module, including built-in vehicle database matching verification and optical character recognition (OCR) technology scanning verification, to ensure the accuracy and completeness of vehicle information input, reduce maintenance misjudgments caused by data errors, and improve the accuracy of maintenance recommendations; The present invention builds a cloud-based dynamic database and connects with the data interfaces of major global automobile manufacturers to synchronize the latest vehicle model data and maintenance standards in real time. The microservice architecture design ensures rapid deployment and seamless compatibility of the system, ensuring the timeliness and comprehensiveness of maintenance recommendations; The present invention uses a personalized algorithm module to build a user behavior model based on multi-dimensional data such as historical maintenance records, vehicle usage frequency, and driving environment. It continuously optimizes and predicts vehicle maintenance needs through a deep learning algorithm, and provides car owners with more accurate and personalized maintenance plans to meet the personalized needs of different users. The present invention integrates a cost-effective intelligent analysis module to analyze the cost and expected effect of different maintenance plans, and recommends the most cost-effective maintenance combination to users in combination with the price fluctuation of accessories in the market, so as to ensure that users can achieve the best balance between economy and maintenance effect while enjoying high-quality maintenance services; The user interface module of the present invention is designed to be concise and intuitive, including a maintenance item analysis module and a user evaluation system, which displays the necessity, expected effect and cost structure of each recommended item in the form of charts, videos, etc., and enhances the user's trust in the system recommendation by increasing the transparency of the recommendation logic and user evaluation; The interactive maintenance knowledge base module of the present invention is combined with an artificial intelligence chat robot to provide users with instant maintenance knowledge education and question answers. The system has a simple and intuitive operation interface, which can be easily used even by first-time users, thereby improving user participation and satisfaction. The data security and privacy protection module of the present invention adopts end-to-end encryption technology and sets up multi-layer access control and permission management to ensure the security of user data during transmission and storage. The system strictly abides by international privacy protection regulations such as the General Data Protection Regulation (GDPR), clearly informs users of the purpose of data collection and use, and provides a data deletion request option to effectively protect the security and privacy of user data. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0018] Figure 1 The system workflow of the present invention Figure 1 ; Figure 2 The system workflow of the present invention Figure 2 . DETAILED DESCRIPTION

[0019] All features disclosed in this specification, or steps in all methods or processes disclosed, except mutually exclusive features and / or steps, can be combined in any manner.

[0020] Any feature disclosed in this specification (including any additional claims, abstract and drawings), unless otherwise stated, may be replaced by other equivalent or alternative features with similar purposes. That is, unless otherwise stated, each feature is only an example of a series of equivalent or similar features.

[0021] A vehicle maintenance package intelligent identification and material customization recommendation system of the present invention includes a data input module for receiving vehicle model information and mileage; Data processing and verification module, which verifies and confirms vehicle information through built-in vehicle database and optical character recognition (OCR) technology; Real-time update and compatibility optimization module, which is used to establish a dynamic cloud database and connect with the data interfaces of major global automakers to achieve real-time synchronization of vehicle model data and maintenance standards; Personalized algorithm module, which builds a user behavior model based on historical maintenance records, vehicle usage frequency and driving environment, and provides personalized maintenance recommendations; Cost-effectiveness intelligent analysis module, which analyzes the cost and expected effect of different maintenance plans and recommends the most cost-effective maintenance combination; User interface module, providing maintenance item analysis and user evaluation system; An interactive maintenance knowledge base module, including maintenance tips videos and an AI chatbot; Data security and privacy protection module, used to ensure the security and privacy protection of user data.

[0022] In this embodiment, the data processing and verification module uses a double verification mechanism, including built-in vehicle database matching verification and OCR technology scanning verification, to ensure the accuracy and completeness of vehicle information.

[0023] In this embodiment, the real-time update and compatibility optimization module adopts a microservice architecture to ensure that the system can be quickly deployed and seamlessly compatible with the latest car models or maintenance technology updates.

[0024] In this embodiment, the personalized algorithm module uses a deep learning algorithm to build a user behavior model based on multi-dimensional data, and predicts vehicle maintenance needs through continuous learning and optimization.

[0025] In this embodiment, the cost-effectiveness intelligent analysis module integrates intelligent algorithms to analyze the price fluctuations of accessories in the market and provide multiple maintenance plan comparison options.

[0026] In this embodiment, the user interface module includes a maintenance item analysis module and a user evaluation system to increase transparency and user trust.

[0027] In this embodiment, the interactive maintenance knowledge base module is combined with an artificial intelligence chat robot to provide users with instant maintenance knowledge education and question answers.

[0028] In this embodiment, the data security and privacy protection module adopts end-to-end encryption to ensure the security of user data during transmission and storage.

[0029] In this embodiment, the user interface module provides diagrams, video presentations, and detailed cost structure explanations of maintenance items to help users understand the necessity and expected effects of recommended items.

[0030] In this embodiment, the data security and privacy protection module uses end-to-end encryption technology and multi-layer access control to ensure the security and privacy protection of user data, comply with international privacy protection regulations such as GDPR, and provide a data deletion request option.

[0031] The working process is as follows: Data processing and verification The user enters vehicle model information and mileage through the system; The system first performs a preliminary match verification through the built-in vehicle database; Subsequently, the vehicle’s VIN code (Vehicle Identification Number) is scanned and verified using OCR (Optical Character Recognition) technology to ensure the accuracy of the data; For unclear or suspected erroneous input, the system will actively prompt the user to reconfirm, or provide auxiliary search functions to help users accurately identify vehicle information; Real-time updates and compatibility The system’s cloud-based dynamic database is connected to the data interfaces of major global automakers through APIs, synchronizing the latest vehicle model data and maintenance standards in real time; The microservice architecture design enables the system to be quickly deployed when new models or maintenance technology updates are detected, achieving seamless compatibility and instant updates; Personalization Algorithm The system uses deep learning algorithms to build a user behavior model based on multi-dimensional data such as the user's historical maintenance records, vehicle usage frequency, and driving environment; Through continuous learning and optimization, the system can predict the trend of vehicle maintenance needs and provide users with personalized maintenance suggestions; Smart cost-benefit analysis The system integrates intelligent algorithms to analyze the costs and expected effects of different maintenance plans, and recommends the most cost-effective maintenance combination for users based on the fluctuations in market parts prices; The system provides multiple maintenance plan comparisons, and users can choose the most suitable plan based on their needs and budget; Transparency and user trust The system adds a "maintenance project analysis" module to the user interface design, which shows the necessity, expected effect and cost structure of each recommended project through charts and videos; Set up a user evaluation system to display other car owners’ maintenance experience and feedback, and enhance the transparency of the system and user trust; User Experience and Education The system develops an interactive maintenance knowledge base, which includes FAQs, maintenance tips videos and simulated maintenance process animations, and combines AI chatbots to provide instant maintenance knowledge education and question answers; Design a simple and intuitive operation interface, so that even first-time users can easily get started, improving the user experience; Data security and privacy protection The system uses end-to-end encryption technology to ensure the security of user data during transmission and storage.

[0032] Set up multi-layer access control and permission management, comply with international privacy protection regulations such as GDPR, clearly inform users of the purpose of data collection and use, and provide a data deletion request option to protect user data privacy.

[0033] Specifically, Figure 1 As shown, first obtain vehicle information: The system first obtains the vehicle's VIN (Vehicle Identification Number) information.

[0034] The system determines whether the vehicle information already exists in the car_vin_info table in the database.

[0035] New Customer Processing: If it is a new customer, the system calls the Liyang VIN model parsing interface to obtain the vehicle model ID.

[0036] Old customer processing: If it is an old customer, the system will query the vehicle ID and associate it with the Liyang model ID.

[0037] Parts information matching: Based on the obtained vehicle model ID, the system calls the vehicle model adaptation parts information library to obtain the corresponding accessory information.

[0038] Material information acquisition: The system obtains material information based on the marked part number and material code.

[0039] Finally, the system completes the acquisition of material information and ends the process.

[0040] like Figure 2 As shown, the vehicle oil information is synchronized: The system synchronizes vehicle oil information from the third-party vehicle oil benchmark data car_engine_oil_info table.

[0041] Oil data split: The system splits the oil data by vehicle type, oil grade, brand, etc., and stores it in intermediate tables (such as car_engine_oil_info_mx and car_engine_oil_info_result).

[0042] Oil information details saved: The system saves the vehicle model oil information details, establishes matching rules, and generates vehicle model recommended oil information.

[0043] Oil product recommendation priority setting: According to the company's internal recommendation rules, set the recommendation priority for each car and save the recommendation result data.

[0044] Result saving and synchronization: Finally, the system will synchronously save the recommendation result data to Redis for quick access.

[0045] The above is only a specific embodiment of the present invention, but the protection scope of the present invention is not limited thereto. Any changes or substitutions that are not conceived through creative work should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention should be based on the protection scope defined in the claims.

Claims

1. A vehicle maintenance package intelligent identification and material customization recommendation system, It is characterized in that The system comprises: A data input module, used for receiving vehicle model information and mileage; Data processing and verification module, which verifies and confirms vehicle information through built-in vehicle database and optical character recognition (OCR) technology; Real-time update and compatibility optimization module, which is used to establish a dynamic cloud database and connect with the data interfaces of major global automakers to achieve real-time synchronization of vehicle model data and maintenance standards; Personalized algorithm module, which builds a user behavior model based on historical maintenance records, vehicle usage frequency and driving environment, and provides personalized maintenance recommendations; Cost-effectiveness intelligent analysis module, which analyzes the cost and expected effect of different maintenance plans and recommends the most cost-effective maintenance combination; User interface module, providing maintenance item analysis and user evaluation system; An interactive maintenance knowledge base module, including maintenance tips videos and an AI chatbot; Data security and privacy protection module, used to ensure the security and privacy protection of user data.

2. The vehicle maintenance package intelligent identification and material customization recommendation system according to claim 1, Features: The data processing and verification module uses a double verification mechanism, including built-in vehicle database matching verification and OCR technology scanning verification, to ensure the accuracy and completeness of vehicle information.

3. The vehicle maintenance package intelligent identification and material customization recommendation system according to claim 1, Features: in, The real-time update and compatibility optimization module adopts a microservice architecture to ensure that the system can be quickly deployed and seamlessly compatible with the latest car models or maintenance technology updates.

4. The vehicle maintenance package intelligent identification and material customization recommendation system according to claim 1, It is characterized in that: The personalized algorithm module uses a deep learning algorithm to build a user behavior model based on multi-dimensional data, and predicts vehicle maintenance needs through continuous learning and optimization.

5. The vehicle maintenance package intelligent identification and material customization recommendation system according to claim 1, Features: The cost-effectiveness intelligent analysis module integrates intelligent algorithms to analyze the price fluctuations of accessories in the market and provide multiple maintenance plan comparison options.

6. The vehicle maintenance package intelligent identification and material customization recommendation system according to claim 1, Features: The user interface module includes a maintenance item analysis module and a user evaluation system to increase transparency and user trust.

7. The vehicle maintenance package intelligent identification and material customization recommendation system according to claim 1, Features: The interactive maintenance knowledge base module combines with an artificial intelligence chatbot to provide users with instant maintenance knowledge education and question answers.

8. The vehicle maintenance package intelligent identification and material customization recommendation system according to claim 1, Features: The data security and privacy protection module uses end-to-end encryption to ensure the security of user data during transmission and storage.

9. The vehicle maintenance package intelligent identification and material customization recommendation system according to claim 1, Features: The user interface module provides diagrams, video presentations and detailed cost structure explanations of maintenance items to help users understand the necessity and expected effects of recommended items.

10. The vehicle maintenance package intelligent identification and material customization recommendation system according to claim 1, Features: The data security and privacy protection module adopts end-to-end encryption technology and multi-layer access control to ensure the security and privacy protection of user data, complies with international privacy protection regulations such as GDPR, and provides a data deletion request option.

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