Intelligent mileage data analysis and safety evaluation method and system for vehicle

Abstract

The invention discloses an intelligent vehicle mileage data analysis and safety evaluation method and system, relates to the technical field of vehicle detection, and aims to solve the technical problem that whether a vehicle has a mileage tampering risk or not cannot be accurately judged due to the fact that current vehicle mileage data detection methods and evaluation standards are uneven. Comprising the following steps: S1, starting to detect mileage data of a vehicle, firstly querying a cloud database, judging whether a mileage comparison record exists or not, if not, entering the step S2, if yes, further judging whether a historical record needs to be displayed or not, if yes, entering the step S8 to display the historical record, and if not, entering the step S2. According to the intelligent mileage data analysis and safety evaluation method and system for the vehicle, the detection accuracy is greatly improved by adopting comparative analysis of multi-source data, and errors and misleading possibly caused by a single data source are avoided.

Description

Technical Field

[0001] The present invention relates to the field of automobile detection technology, and more specifically, to a method and system for intelligent vehicle mileage data analysis and safety assessment. Background Art

[0002] With the rapid development of the automotive industry, the electronic systems of automobiles are becoming increasingly complex, and vehicle mileage data has important value in many aspects such as vehicle maintenance, second-hand car transactions, insurance claims, etc. However, there are many shortcomings in the current analysis and safety assessment methods of vehicle mileage data.

[0003] Traditional methods of acquiring and analyzing vehicle mileage data mainly rely on manual operations. For example, maintenance personnel use general diagnostic tools to read the mileage information on the vehicle dashboard. This method can only obtain a single instrument mileage data, while the vehicle's mileage information may actually be stored in multiple different electronic control units (ECUs). The mileage data in different ECUs may differ in some cases, which makes it difficult to determine the vehicle's true mileage information.

[0004] At the same time, the vehicle's mileage data may be abnormal due to various reasons, such as sensor failure, electronic system failure, human tampering, etc. However, when facing these problems, the existing vehicle diagnosis and detection technologies lack the means to conduct comprehensive and in-depth analysis and evaluation of vehicle mileage data.

[0005] Therefore, the existing vehicle inspection process also lacks unified standards. In different repair shops and inspection agencies, the inspection methods and evaluation standards for vehicle mileage data vary, and it is impossible to accurately determine whether the vehicle has the risk of mileage tampering. Therefore, a more intelligent and systematic vehicle mileage data analysis and safety assessment method and system is needed to solve the above problems and provide more reliable data support and security for vehicle use, maintenance and transactions. In view of this, we propose a method and system for intelligent vehicle mileage data analysis and safety assessment. Summary of the invention

[0006] The purpose of the present invention is to provide a method and system for intelligent vehicle mileage data analysis and safety assessment, so as to solve the technical problem that the current inspection methods and assessment standards for vehicle mileage data are uneven and it is impossible to accurately determine whether the vehicle has a risk of mileage tampering.

[0007] In order to solve the above technical problems, the present invention provides the following technical solutions: a vehicle intelligent mileage data analysis and safety assessment method, comprising the following steps:

[0008] S1: Start to detect the mileage data of the vehicle, first query the cloud database to determine whether there is a mileage comparison record, if not, go to step S2, if there is a mileage comparison record, then further determine whether it is necessary to display the historical record, if necessary, go to step S8 to display the historical record, if not, go to step S2;

[0009] S2: Identify the current model by reading the VIN code with one click, or the user manually selects the model;

[0010] S3: After the vehicle model is determined, scan and obtain the ECU configuration in the vehicle's ABS system and read all mileage data;

[0011] S4: During the reading process, mark the mileage status and record the comparison data;

[0012] S5: Compare the total mileage of the instrument with the mileage of other ECUs to determine whether the mileage fluctuation is within the normal range. If not, proceed to step S6; otherwise, proceed to step S8;

[0013] S6: Mark vehicles whose mileage fluctuations are not within the normal range as risky vehicles, and focus on identifying abnormal comparison data to form abnormal test information;

[0014] S7: Upload the abnormal test information of the risky vehicles to the cloud database for historical verification;

[0015] S8: Generate a display test report and send it to the user end, completing the mileage data detection of the vehicle.

[0016] The present invention can comprehensively collect and analyze the mileage data stored in multiple ECUs of a vehicle through the method and system of intelligent vehicle mileage data analysis and safety assessment. The total mileage of the instrument is used as a reference to compare with the mileage data in other ECUs, and no longer relies solely on a single instrument mileage information. It can more accurately determine whether the vehicle has mileage data abnormalities, thereby accurately determining whether the vehicle has a risk of mileage tampering. The use of comparative analysis of multi-source data greatly improves the accuracy of detection and avoids errors and misleadings that may be caused by a single data source.

[0017] Preferably, if the total mileage recorded in the ABS system deviates from the total mileage on the instrument panel by less than 10 kilometers, it means that the mileage fluctuation is within a normal range.

[0018] Preferably, the one-click operation of reading the VIN code to identify the vehicle model is implemented through a diagnostic device connected to the vehicle OBD interface, and the diagnostic device has a built-in VIN code identification module for automatically parsing the VIN code and obtaining the vehicle model information.

[0019] Preferably, in the process of scanning and acquiring the vehicle ECU configuration, the diagnostic device sends a specific scanning instruction to each ECU of the vehicle, and after receiving the instruction, the ECU returns its own configuration information, including the ECU type, version number and a list of supported data parameters.

[0020] Preferably, when reading all mileage data, if some ECU data fails to be read, the diagnostic device performs multiple retries to read the data, the number of retries is set to 3-5 times, and the interval between each retry is 0.5-1 second.

[0021] Preferably, when the abnormal test information is uploaded to the cloud database, an encrypted transmission method is adopted.

[0022] Preferably, the display test report includes basic vehicle information, comparison results of mileage data of each ECU, risk assessment results and detailed description of abnormal data.

[0023] A vehicle intelligent mileage data analysis and safety assessment system, including a vehicle model identification module, an ECU configuration scanning module, a mileage reading module, a mileage comparison module, a risk marking and reporting module, and a cloud database upload module;

[0024] The vehicle model identification module is used to identify the current vehicle model through a one-touch VIN code or manually select the corresponding vehicle model;

[0025] The ECU configuration scanning module is used to scan the ECU configuration supported by the current vehicle;

[0026] The mileage reading module is used to read the mileage information of all supported ECU configurations;

[0027] The mileage comparison module is used to compare the total mileage of the instrument with the mileage read by other ECUs;

[0028] The risk marking and reporting module is used to mark the vehicle as a tampering risk vehicle and display a comparison report when the mileage deviation exceeds a preset range;

[0029] The cloud database uploading module is used to upload abnormal test information to the cloud database for historical verification.

[0030] Preferably, the vehicle type identification module is connected to the ECU configuration scanning module and the mileage reading module, and the mileage reading module is connected to the ECU configuration scanning module.

[0031] Preferably, the mileage reading module is electrically connected to the mileage comparison module, and the mileage comparison module is connected to the risk marking and reporting module.

[0032] Compared with the prior art, the present invention has the following beneficial effects:

[0033] 1. The present invention can comprehensively collect and analyze the mileage data stored in multiple ECUs of a vehicle through the method and system of intelligent vehicle mileage data analysis and safety assessment. The total mileage of the instrument is used as a reference to compare with the mileage data in other ECUs. It is no longer dependent on a single instrument mileage information, and can more accurately determine whether the vehicle has mileage data abnormalities, thereby accurately determining whether the vehicle has a risk of mileage tampering. The use of multi-source data comparative analysis greatly improves the accuracy of detection and avoids errors and misleadings that may be caused by a single data source.

[0034] 2. The present invention provides a standardized process for vehicle mileage data analysis and safety assessment, avoiding the confusion caused by different testing methods and assessment standards used by different testing agencies and repair shops. From vehicle model identification, to ECU configuration scanning, mileage data reading, comparison and analysis, to risk assessment and report generation, the entire process has clear operating specifications and technical requirements, which helps to standardize the entire automotive testing industry and improve the industry's service quality and professionalism.

[0035] 3. The system of the present invention can automatically complete a series of operations such as vehicle model identification, ECU configuration scanning and mileage data reading, which greatly shortens the detection time. At the same time, when performing mileage data comparison and risk assessment, the system automatically performs according to preset rules and algorithms, without the need for manual calculation and judgment one by one, further improving the efficiency of the entire detection process and providing users with fast and convenient vehicle detection services. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] Figure 1 The present invention is a schematic flow chart of the method. DETAILED DESCRIPTION

[0037] Embodiment 1: Figure 1 As shown, the present invention relates to a vehicle intelligent mileage data analysis and safety assessment method, comprising the following steps:

[0038] S1: Start to detect the mileage data of the vehicle, first query the cloud database to determine whether there is a mileage comparison record, if not, go to step S2, if there is a mileage comparison record, then further determine whether it is necessary to display the historical record, if necessary, go to step S8 to display the historical record, if not, go to step S2;

[0039] S2: Identify the current model by reading the VIN code with one click, or the user manually selects the model;

[0040] S3: After the vehicle model is determined, scan and obtain the ECU configuration in the vehicle's ABS system and read all mileage data;

[0041] S4: During the reading process, mark the mileage status and record the comparison data;

[0042] S5: Compare the total mileage of the instrument with the mileage of other ECUs to determine whether the mileage fluctuation is within the normal range. If not, proceed to step S6; otherwise, proceed to step S8;

[0043] S6: Mark vehicles whose mileage fluctuations are not within the normal range as risky vehicles, and focus on identifying abnormal comparison data to form abnormal test information;

[0044] S7: Upload the abnormal test information of the risky vehicles to the cloud database for historical verification;

[0045] S8: Generate a display test report and send it to the user end, completing the mileage data detection of the vehicle.

[0046] The present invention can comprehensively collect and analyze the mileage data stored in multiple ECUs of a vehicle through the method and system of intelligent vehicle mileage data analysis and safety assessment. The total mileage of the instrument is used as a reference to compare with the mileage data in other ECUs, and no longer relies solely on a single instrument mileage information. It can more accurately determine whether the vehicle has mileage data abnormalities, thereby accurately determining whether the vehicle has a risk of mileage tampering. The use of comparative analysis of multi-source data greatly improves the accuracy of detection and avoids errors and misleadings that may be caused by a single data source.

[0047] In the embodiment of the present invention, if the total mileage recorded in the ABS system deviates from the total mileage of the instrument by less than 10 kilometers, it means that the mileage fluctuation is within a normal range.

[0048] In an embodiment of the present invention, the one-click operation of reading the VIN code to identify the vehicle model is implemented by a diagnostic device connected to the vehicle OBD interface. The diagnostic device has a built-in VIN code identification module for automatically parsing the VIN code and obtaining the vehicle model information.

[0049] In an embodiment of the present invention, during the process of scanning and acquiring the vehicle ECU configuration, the diagnostic device sends a specific scanning instruction to each ECU of the vehicle. After receiving the instruction, the ECU returns its own configuration information, including the ECU type, version number and a list of supported data parameters.

[0050] In an embodiment of the present invention, when reading all mileage data, if some ECU data fails to be read, the diagnostic device performs multiple retries to read the data, the number of retries is set to 3-5 times, and the interval between each retry is 0.5 to 1 second.

[0051] In an embodiment of the present invention, when the abnormal test information is uploaded to the cloud database, an encrypted transmission method is adopted.

[0052] In an embodiment of the present invention, the display test report includes basic vehicle information, comparison results of mileage data of each ECU, risk assessment results and detailed description of abnormal data.

[0053] The present invention provides a standardized process for vehicle mileage data analysis and safety assessment, avoiding the confusion caused by different testing methods and assessment standards used by different testing agencies and repair shops. From vehicle model identification, to ECU configuration scanning, mileage data reading, comparison and analysis, to risk assessment and report generation, the entire process has clear operating specifications and technical requirements, which helps to standardize the entire automotive testing industry and improve the industry's service quality and professionalism.

[0054] Embodiment 2: A vehicle intelligent mileage data analysis and safety assessment system, including a vehicle model identification module, an ECU configuration scanning module, a mileage reading module, a mileage comparison module, a risk marking and reporting module, and a cloud database upload module;

[0055] The vehicle model identification module is used to identify the current vehicle model through a one-click VIN code or manually select the corresponding vehicle model. The ECU configuration scanning module is used to scan the ECU configuration supported by the current vehicle. The mileage reading module is used to read the mileage information of all supported ECU configurations. The mileage comparison module is used to use the total mileage of the instrument as a reference and compare it with the mileage read by other ECUs. The risk marking and reporting module is used to mark the vehicle as a tampering risk vehicle and display a comparison report when the mileage deviation exceeds the preset range. The cloud database upload module is used to upload abnormal test information to the cloud database for historical verification.

[0056] As another embodiment of the present invention, the vehicle model identification module is connected to the ECU configuration scanning module and the mileage reading module, and the mileage reading module is connected to the ECU configuration scanning module, the mileage reading module is electrically connected to the mileage comparison module, and the mileage comparison module is connected to the risk marking and reporting module.

[0057] The system of the present invention can automatically complete a series of operations such as vehicle model identification, ECU configuration scanning and mileage data reading, which greatly shortens the detection time. At the same time, when performing mileage data comparison and risk assessment, the system automatically performs according to preset rules and algorithms, without the need for manual calculation and judgment one by one, further improving the efficiency of the entire detection process and providing users with fast and convenient vehicle detection services.

[0058] The embodiments of the present invention disclose preferred embodiments, but are not limited thereto. A person skilled in the art can easily understand the spirit of the present invention based on the above embodiments and make different extensions and changes. However, as long as they do not deviate from the spirit of the present invention, they are all within the protection scope of the present invention.

Claims

1. A vehicle intelligent mileage data analysis and safety assessment method, characterized in that: The following steps are involved: S1: Start to detect the mileage data of the vehicle, first query the cloud database to determine whether there is a mileage comparison record, if not, go to step S2, if there is a mileage comparison record, then further determine whether it is necessary to display the historical record, if necessary, go to step S8 to display the historical record, if not, go to step S2; S2: Identify the current model by reading the VIN code with one click, or the user manually selects the model; S3: After the vehicle model is determined, scan and obtain the ECU configuration in the vehicle's ABS system and read all mileage data; S4: During the reading process, mark the mileage status and record the comparison data; S5: Compare the total mileage of the instrument with the mileage of other ECUs to determine whether the mileage fluctuation is within the normal range. If not, proceed to step S6; otherwise, proceed to step S8; S6: Mark vehicles whose mileage fluctuations are not within the normal range as risky vehicles, and focus on identifying abnormal comparison data to form abnormal test information; S7: Upload the abnormal test information of the risky vehicles to the cloud database for historical verification; S8: Generate a display test report and send it to the user end, completing the mileage data detection of the vehicle.

2. The method for intelligent vehicle mileage data analysis and safety assessment according to claim 1, characterized in that: If the total mileage recorded in the ABS system deviates from the total mileage on the instrument by less than 10 kilometers, it means that the mileage fluctuation is within a normal range.

3. The method for intelligent vehicle mileage data analysis and safety assessment according to claim 2, characterized in that: The one-click operation of reading the VIN code to identify the vehicle model is implemented through a diagnostic device connected to the vehicle OBD interface. The diagnostic device has a built-in VIN code identification module for automatically parsing the VIN code and obtaining the vehicle model information.

4. The method for intelligent vehicle mileage data analysis and safety assessment according to claim 3, characterized in that: During the process of scanning and acquiring the vehicle ECU configuration, the diagnostic device sends a specific scanning instruction to each ECU of the vehicle. After receiving the instruction, the ECU returns its own configuration information, including the ECU type, version number, and a list of supported data parameters.

5. The method for intelligent vehicle mileage data analysis and safety assessment according to claim 4, characterized in that: When reading all the mileage data, if some ECU data fails to be read, the diagnostic device will retry the reading operation multiple times, the number of retries is set to 3-5 times, and the interval between each retry is 0.5-1 second.

6. The method for intelligent vehicle mileage data analysis and safety assessment according to claim 5, characterized in that: When the abnormal test information is uploaded to the cloud database, an encrypted transmission method is adopted.

7. The method for intelligent vehicle mileage data analysis and safety assessment according to claim 6, characterized in that: The display test report includes basic vehicle information, comparison results of mileage data of each ECU, risk assessment results and detailed description of abnormal data.

8. A vehicle intelligent mileage data analysis and safety assessment system, which uses the vehicle intelligent mileage data analysis and safety assessment method according to claim 7, characterized in that: include: Vehicle model identification module, used to identify the current vehicle model through one-click VIN code or manually select the corresponding vehicle model; ECU configuration scanning module, used to scan the ECU configuration supported by the current vehicle; Mileage reading module, used to read the mileage information of all supported ECU configurations; Mileage comparison module, used to compare the total mileage of the instrument with the mileage read by other ECUs; The risk marking and reporting module is used to mark the vehicle as a vehicle at risk of tampering when the mileage deviation exceeds the preset range and display a comparison report; The cloud database upload module is used to upload abnormal test information to the cloud database for historical verification.

9. The intelligent vehicle mileage data analysis and safety assessment system according to claim 8, characterized in that: The vehicle type identification module is connected to the ECU configuration scanning module and the mileage reading module, and the mileage reading module is connected to the ECU configuration scanning module.

10. The intelligent vehicle mileage data analysis and safety assessment system according to claim 9, characterized in that: The mileage reading module is electrically connected to the mileage comparison module, and the mileage comparison module is connected to the risk marking and reporting module.

Images