A vehicle health state monitoring method and system

Abstract

This invention provides a vehicle health status monitoring method and system, applied in the field of vehicle assessment. The vehicle health status monitoring method is based on an input / output module, an information processing module, and a third-party information interface module. The monitoring method includes: S1: obtaining original vehicle condition information based on the input / output module; S2: obtaining reference vehicle condition information from a third-party platform based on the third-party information interface module; S3: correcting the original vehicle condition information based on the reference vehicle condition information to obtain corrected vehicle condition information; S4: obtaining market information about the vehicle from a third-party platform based on the third-party information interface module, and assessing the vehicle's health status based on the corrected vehicle condition information and market information. This invention corrects user-entered information using reference vehicle condition information from a third-party platform to eliminate erroneous information provided by the user, thereby improving the accuracy of vehicle health status monitoring.

Description

Technical Field

[0001] This invention belongs to the field of vehicle assessment, specifically relating to a method and system for monitoring the health status of vehicles. Background Technology

[0002] With the increasing popularity of automobiles, used car transactions are becoming more frequent, and these transactions rely on accurate assessments of a vehicle's health and value. Based on the development of the used car market and the ride-hailing industry, car owners are also more concerned about the health of their vehicles to determine their value and plan whether to continue using them or sell them. Traditional vehicle health monitoring relies on manual assessments by car appraisers, the accuracy of which is limited by the appraiser's skill level. Furthermore, the varying operational intensity of ride-hailing services increases the difficulty of manual assessments, while also involving assessment fees and communication costs, making it unfriendly to car owners who want to monitor changes in their vehicle's health over the long term.

[0003] Currently, some used car service providers offer online assessments, but these are often based on simple information such as vehicle brand, model, and age, resulting in low accuracy and failing to meet car owners' needs for a precise understanding of their vehicle's health condition. However, if car owners provide more vehicle information for further online assessments, the accuracy of this information may be compromised due to the subjective factors of the owners, thus affecting the accuracy of vehicle health monitoring. Summary of the Invention

[0004] Therefore, the technical problem to be solved by the present invention is to provide a vehicle health status monitoring method and system, which aims to provide users with accurate online vehicle health status monitoring services.

[0005] In Scheme 1, the vehicle health status monitoring method provided by the present invention is executed based on an input / output module, an information processing module, and a third-party information interface module. The vehicle health status monitoring method includes: S1: Obtain the vehicle's original condition information based on the input / output module; S2: Obtain reference vehicle condition information from a third-party platform based on the third-party information interface module; S3: The information processing module corrects the original vehicle condition information based on the reference vehicle condition information to obtain corrected vehicle condition information; S4: The information processing module obtains vehicle market information from a third-party platform based on the third-party information interface module, and evaluates the health status of the vehicle based on the corrected vehicle condition information and the market information.

[0006] In Scheme 2 based on Scheme 1, the original vehicle condition information in step S1 includes static information. The input / output module outputs standardized input items with fixed options to the user and obtains static information based on user input.

[0007] In Scheme 3 based on Scheme 2, the original vehicle condition information further includes dynamic information, which includes video. Step S1 includes: S11: Obtain the original vehicle information, including static and dynamic information, based on the input / output module; S12: The information processing module analyzes and diagnoses the video in the original vehicle condition information. Based on the analysis results, the output module outputs further video recording requirements to the user. S13: The input / output module acquires the video again based on the user's input, and the information processing module analyzes and diagnoses the video acquired again.

[0008] In Scheme 4, which is based on Scheme 3, the video in the dynamic information includes at least an image of an engine in operation; "Analyzing and diagnosing the video in the original vehicle condition information" includes analyzing the images of the engine in operation to obtain the engine's health status. "Further video recording requirements" include requiring the recording of images of the engine at specific locations and / or in specific operating states.

[0009] In Scheme 5, which is based on Scheme 4, the dynamic information also includes audio, which is synchronized with the video.

[0010] In Scheme 6, which is based on Scheme 4 or Scheme 5, the specific operating state includes one or more of the following: specific speed, specific gear, specific gear shifting process, and start-stop process.

[0011] In Scheme 7, which is based on Scheme 1, step S4 includes: S41: The information processing module obtains a vehicle health status score based on the corrected vehicle condition information; S42: The information processing module assesses the value of the vehicle based on the vehicle's health status score and the market information obtained from a third-party platform.

[0012] In Scheme 8 based on Scheme 7, the corrected vehicle condition information includes multiple information groups, including core component group, safety system group, exterior and interior group, operating condition group, and maintenance group. The information processing module obtains the inter-group score of each information group based on the corrected vehicle condition information, assigns different weights to the inter-group scores of each information group, and calculates the vehicle's health status score based on a weighted summation method.

[0013] In Scheme 9 based on Scheme 8, each information group includes multiple input items. The health coefficient corresponding to each input item is obtained based on the corrected vehicle condition information. At least partially different weights are assigned to each input item within the same information group. The inter-group score of each information group is calculated based on a weighted summation method.

[0014] The present invention also proposes a vehicle health status monitoring system, which applies a vehicle health status monitoring method of any one of the schemes 1 to 9. Beneficial effects

[0015] The vehicle health status monitoring method and system of the present invention corrects the information entered by the user by referencing vehicle condition information from a third-party platform, thereby eliminating erroneous information provided by the user, thus improving the reliability of the information used for vehicle health status monitoring, and further improving the accuracy of vehicle health status monitoring. Attached Figure Description

[0016] To make the content of this invention easier to understand, the invention will be further described in detail below with reference to specific embodiments and accompanying drawings.

[0017] Figure 1 This is a flowchart of a vehicle health status monitoring method according to an embodiment of the present invention; Figure 2 This is a flowchart of another vehicle health status monitoring method according to an embodiment of the present invention; Figure 3 This is a flowchart of another vehicle health status monitoring method according to an embodiment of the present invention. Detailed Implementation

[0018] The present invention will now be described in detail with reference to the accompanying drawings and embodiments. The principles and features of the present invention are described below with reference to the accompanying drawings. It should be noted that, unless otherwise specified, the embodiments and features described in these embodiments can be combined with each other. The embodiments given are only for explaining the present invention and are not intended to limit the scope of the present invention.

[0019] Vehicle health status monitoring is a method of evaluating the condition of vehicles in use (not new cars), allowing for further assessment and prediction of the vehicle's market value based on its health status. With the increasing number of vehicles on the road and the growing used car market, car owners are paying increasing attention to the health status of their vehicles in order to plan for their operation, maintenance, ownership, and resale in line with market trends. This is especially true for the ride-hailing industry, where long operating mileage, high usage frequency, and complex driving conditions lead to a much faster rate of wear and tear on vehicles compared to private cars. However, ride-hailing services lack the unified management of taxis, making it even more crucial for ride-hailing owners to monitor the health status of their vehicles.

[0020] This invention proposes a method and system for monitoring the health status of vehicles, which is particularly suitable for monitoring the health status of ride-hailing vehicles.

[0021] Figure 1 This is a flowchart of a vehicle health status monitoring method according to an embodiment of the present invention. In some embodiments of the present invention, the vehicle health status monitoring method is executed based on an input / output module, an information processing module, and a third-party information interface module, such as... Figure 1 As shown, the methods for monitoring vehicle health status include: S1: Obtain the original vehicle information based on the input / output module; S2: Obtain reference vehicle condition information from a third-party platform based on a third-party information interface module; S3: The information processing module corrects the original vehicle condition information based on the reference vehicle condition information to obtain corrected vehicle condition information; S4: The information processing module obtains vehicle market information from a third-party platform based on the third-party information interface module, and assesses the vehicle's health status based on the corrected vehicle condition information and market information.

[0022] In an embodiment of the present invention, the original vehicle information entered by the user is corrected by obtaining reference vehicle condition information from a third-party platform, which can avoid the impact of incorrect information entered by the user on the assessment of the vehicle's health status.

[0023] In some embodiments of the present invention, the original vehicle information may include basic vehicle information (including brand, model, manufacturing date, first registration date, total mileage, years of operation and vehicle configuration, etc.), core component information (including engine, transmission, chassis and steering system, etc.), safety system information (including braking system, airbags, tires and lighting system, etc.), exterior and interior information (including vehicle exterior, interior and glass doors and windows, etc.), maintenance information (including maintenance cycle, maintenance records and the time and items of the most recent maintenance, etc.) and operating information, etc.

[0024] The third-party platform in step S2 refers to a platform that can verify (or at least partially verify) the original vehicle information. For example, the third-party platform in step S2 may include the vehicle management office, insurance company, repair shop, and vehicle manufacturer. Specifically, it can obtain vehicle registration information, including vehicle brand, model, manufacturing date, registration date, and number of ownership transfers, from the vehicle management office; accident records, including accident type, number of claims, and claims settlement, from the insurance company; maintenance records, including repair time, repair parts, and maintenance items, from the repair shop; and factory technical parameters, including the design life of core components and maintenance cycle recommendations, from the vehicle manufacturer.

[0025] Step S3, "correcting the original vehicle condition information based on the reference vehicle condition information," means that when the reference vehicle condition information and the original vehicle condition information are inconsistent, the reference vehicle condition information shall prevail, and the inconsistent original vehicle condition information shall be discarded. The content of the reference vehicle condition information may cover all the original vehicle condition information, or it may only cover a part of the original vehicle condition information. The corrected vehicle condition information in step S3 may be all corrected information, partially corrected information, or it may be completely uncorrected information (i.e., the reference vehicle condition information and the original vehicle condition information are completely consistent and no correction is needed).

[0026] In some embodiments of the present invention, the original vehicle condition information in step S1 includes static information, the input / output module outputs standardized input items with fixed options to the user, and obtains static information based on user input.

[0027] In embodiments of the present invention, by selecting fixed options, users can form standardized data entry, which can effectively reduce the influence of user subjectivity and obtain a more objective vehicle condition evaluation. As one implementation method for standardized data entry using fixed options, data entry can be performed according to the following option settings: Engine: No abnormalities, slight abnormal noise, insufficient power, has been repaired or replaced; Transmission: Smooth shifting, jerky shifting, repaired, replaced; Chassis: No leakage, minor leakage, severe leakage, repaired; Steering system: Precise and without deviation, slight deviation, severe deviation, repaired; Braking system: sensitive braking, extended braking distance, abnormal braking noise, has been repaired; Airbag: Not deployed, deployed and need replacement, fault alarm; Tires: Original tires / new tires, moderate wear, need to be replaced; Lighting system: All working properly, some damaged, repaired; Vehicle exterior: No scratches or dents, minor scratches, multiple scratches / minor dents, severe collision repair; Interior: virtually no wear, slight wear, moderate wear, severe wear; Glass doors and windows: All intact, some partially repaired; Maintenance schedule: Strictly follow the manual for maintenance, occasional over-time maintenance, frequent over-time maintenance; Maintenance records: No maintenance, minor maintenance, major component maintenance, maintenance for multiple accidents.

[0028] The above is just an example of standardized input items. The number and content of the options can be adjusted, as can the number of input items to be selected.

[0029] Each item that requires selection for input is called an input field. For example, the engine is an input field, and the vehicle exterior is also an input field.

[0030] To quantify the options and facilitate quantitative calculations, a fixed health coefficient can be set for each option in the input field. For example, in the transmitter input field, "no abnormalities" corresponds to a health coefficient of 0.9, and "repaired" corresponds to a health coefficient of 0.6. Other options can be set in the same way, or the specific health coefficient and difference of each option can be adjusted and set.

[0031] Figure 2 This is a flowchart of another vehicle health status monitoring method according to an embodiment of the present invention. In some embodiments of the present invention, such as... Figure 2 As shown, the original vehicle condition information also includes dynamic information, which includes video. Step S1 includes: S11: Obtain raw vehicle condition information, including static and dynamic information, based on the input / output module; S12: The information processing module analyzes and diagnoses the video in the original vehicle condition information. Based on the analysis results, the output module outputs further video input requirements to the user. S13: The input / output module re-acquires video based on user input, and the information processing module analyzes and diagnoses the re-acquired video.

[0032] In embodiments of the present invention, the recorded video is analyzed to obtain the vehicle's actual condition information. Based on the analysis results, the user is instructed to record videos with specific requirements to further confirm whether the vehicle has any related problems. This avoids both the lag in information from third-party platforms and errors in vehicle condition recording due to users' lack of professional knowledge, thus improving the accuracy of vehicle condition information collection.

[0033] In some embodiments of the present invention, the video in the dynamic information includes at least an image of an engine in operation; "analyzing and diagnosing the video in the original vehicle condition information" includes analyzing the image of an engine in operation to obtain the engine's health status; "further video recording requirements" include requiring the recording of images of specific locations of the engine.

[0034] In some embodiments of the present invention, by analyzing images of engine operation in the original vehicle condition information, engine operating condition information can be obtained. Based on features such as vibration, the engine's operating condition can be determined, and a preliminary problem assessment can be made. Furthermore, by recording video from specific locations, a further assessment of the engine's operating condition can be achieved.

[0035] In some embodiments of the invention, "further video recording requirements" may also include requiring the recording of images of the engine in a specific operating state.

[0036] In embodiments of the present invention, the engine may exhibit different problems under different operating conditions. By recording images of the engine under specific operating conditions, specific problems can be analyzed and judged.

[0037] In some embodiments of the present invention, "further video recording requirements" may also include the requirement to record images of specific locations of the engine in a specific operating state.

[0038] In some embodiments of the present invention, a specific operating state includes one or more of a specific speed, a specific gear, a specific gear shifting process, and a start-stop process.

[0039] In some embodiments of the present invention, in the specific operating state described above, some problems of the engine can be highlighted so as to facilitate analysis based on video and determine the health status of the engine.

[0040] In some embodiments of the present invention, the dynamic information may also include audio, which is synchronized with the video.

[0041] In embodiments of the present invention, different sounds will be produced during engine operation when different faults occur in the engine. The health status of the engine can be determined by the audio of the engine during operation.

[0042] Furthermore, different problems with the engine will produce different noises or variations under different operating conditions (such as acceleration, deceleration, and starting). By analyzing the audio of the engine under specific operating conditions, the problems of the engine can be judged, thereby obtaining a more accurate engine health status.

[0043] There are numerous case studies in vehicle repair practice regarding the relationship between engine operating audio and potential faults. For example, a sharp, crisp "ticking" sound, similar to metal clashing, during idling or acceleration may indicate problems such as excessive valve clearance, worn or loose connecting rod bearings, or excessive piston-cylinder wall clearance. Conversely, a "thumping" sound, more pronounced at low speeds and under increased load, may suggest issues such as worn crankshaft main bearings, loose piston pin-connecting rod sleeve fit, or a damaged cylinder head gasket causing leaks. These are examples of diagnosing engine health through audio, but the methods are not limited to this.

[0044] As an example of diagnosing engine health using dynamic information, the user opens the vehicle's engine compartment and begins recording the engine compartment (especially the engine) using a recording device. The user starts the engine and raises the engine speed from idle to 6,000 rpm (or another speed), then naturally decelerates back to idle and shuts off, ending the recording. The recorded video (and synchronized audio) is then input as dynamic information. The input information is analyzed to identify potential problems (e.g., noticeable noise at high engine speeds). If this is detected, the user is instructed to record video and audio of the engine operating at 5,000 to 6,000 rpm. The user starts the vehicle and maintains the engine speed between 5,000 and 6,000 rpm, then re-records the engine operation video and audio. This re-recorded video and audio are then input into the system. The system uses this re-recorded video and audio to perform a more accurate analysis of the engine's health. Compared to the first recorded video and audio, the second recorded video and audio, having been in a specific operating state for a longer period (e.g., the engine speed consistently maintained between 5,000 and 6,000 rpm), provides more information for analysis.

[0045] The analysis of dynamic information (including audio and video) can be achieved through specially trained artificial intelligence models. Training artificial intelligence models is a relatively mature technology, and will not be elaborated upon here.

[0046] Static information refers to information entered by the user through the input / output module via options and text, while dynamic information refers to information entered by the user through the input / output module via video, audio, and images.

[0047] Dynamic information can also be used to diagnose the condition of a vehicle's exterior and interior. As one example, dynamic information can be used to diagnose the vehicle's exterior. The user inputs a video of themselves walking around the vehicle (or multi-angle images of the vehicle). By analyzing the video (or photos) showing the vehicle's exterior, damage to the exterior is analyzed. Based on the analysis results (e.g., identifying potentially damaged areas from the video or images), the user is given instructions to take close-up photos of the specific areas of potential damage (e.g., instructing the user to take a close-up photo of the left fender, which can be a picture or a video). The user follows the instructions to take and input the video or photo. The system then performs a final diagnosis of the vehicle's exterior damage based on the second input of video and images.

[0048] As another embodiment of the present invention, the interior of the vehicle can also be assessed using dynamic information. The user inputs a video (or photo) of the vehicle's interior. The backend analyzes the video (or photo) to assess interior damage and, based on the analysis results (e.g., identifying potentially worn areas from the video or image), instructs the user to take close-up photos of the specific areas with potential damage (e.g., instructing the user to take a photo of the driver's seat surface). The user follows the instructions to take and input the video or photo. The backend then performs a final assessment of the vehicle's exterior damage based on the second input of the video and photos.

[0049] Based on a scheme similar to the above embodiments, dynamic information can also be used to determine the vehicle's transmission, chassis, steering system, tires, lighting system, etc., which will not be elaborated here.

[0050] When correcting original vehicle condition information, the priority for acceptance is: dynamic information diagnostic results > static information, and reference vehicle condition information > static information. This priority is based on the fact that user-inputted static information may contain errors or omissions, while information from third-party platforms (such as vehicle registration offices, insurance companies, repair shops, and vehicle manufacturers) is relatively reliable and authoritative. Dynamic information diagnostic results, obtained through technical analysis of video (or images, audio), are more professional and reliable than user-filled static information.

[0051] In some embodiments of the present invention, the diagnostic results of dynamic information can be superimposed with reference vehicle condition information. For example, if the reference vehicle condition information indicates that the left fender of the vehicle has undergone sheet metal repair, and the diagnostic results of the dynamic information indicate that there are scratches on the right fender, then the two can be superimposed to indicate that the left fender of the vehicle has undergone sheet metal repair and the right fender has scratches.

[0052] Figure 3 This is a flowchart of another vehicle health status monitoring method according to an embodiment of the present invention. In some embodiments of the present invention, such as... Figure 3 As shown, step S4 includes: S41: The information processing module obtains a vehicle health status score based on corrected vehicle condition information; S42: The information processing module assesses the value of a vehicle based on its health status score and market information obtained from a third-party platform.

[0053] In embodiments of the present invention, the value of a vehicle can be assessed based on vehicle health status scores and market information from third-party platforms, resulting in a more accurate valuation.

[0054] In step S42, the third-party platform refers to a used car trading platform. Market information refers to used car transaction information, including vehicle model, condition, and transaction price.

[0055] For details on how to obtain the health status score, please see the following text.

[0056] In some embodiments of the present invention, the corrected vehicle condition information includes multiple information groups, including core component group, safety system group, exterior and interior group, operating condition group and maintenance group. The information processing module obtains the inter-group score of each information group based on the corrected vehicle condition information, assigns different weights to the component scores of each information group, and calculates the vehicle's health status score based on a weighted summation method.

[0057] Different components of a vehicle have varying impacts on its health and value. Dividing the corrected vehicle condition information into different information groups and assigning them different weights can yield a more reasonable health status score that better meets the needs of vehicle valuation.

[0058] The core components group can include information related to the engine, transmission, chassis, and steering system; the safety system group can include information related to the braking system, airbags, tires, and lighting system; the exterior and interior group can include information related to the vehicle's exterior, interior, and windows; the operating condition group can include information related to vehicle mileage; and the maintenance group can include information related to maintenance cycles, maintenance records, and the date and items of the most recent maintenance.

[0059] In some embodiments of the present invention, each information group includes multiple input items, and the health coefficient corresponding to each input item is obtained based on the corrected vehicle condition information. At least some different weights are assigned to each input item in the same information group, and the inter-group score of each information group is calculated based on a weighted summation method.

[0060] In embodiments of the present invention, the weights of each input item are further refined to obtain a health score that is more consistent with value assessment.

[0061] In some embodiments of the present invention, as a method of calculating between-group scores, a single between-group score can be calculated in the following ways:

[0062] in, S For inter-group scoring of a single information group. P i For a single entry item, the health coefficient. W i The weighting coefficient for a single entry item.

[0063] Taking the core component group as an example, if the engine's health coefficient is 0.9 and its weighting coefficient is 0.4; the transmission's health coefficient is 0.85 and its weighting coefficient is 0.3; and the chassis's health coefficient is 0.95 and its weighting coefficient is 0.2, then the inter-group score for the core component group is:

[0064] That is, the component score of the core component group is 89.5.

[0065] The method for obtaining the health coefficient has been explained above and will not be repeated here.

[0066] The sum of the weighting coefficients for the scores between each group is 1.

[0067] In some embodiments of the present invention, the inter-group scoring can be modified according to actual needs and verification results; that is, the above formula can be adjusted to:

[0068] Here, ℇ is the error correction term used to adjust the inter-group scores. As one application of the error correction term, for example, if there is an accident record, then ℇ = -5.

[0069] In some embodiments of the present invention, as a method for calculating the vehicle health status score, the vehicle health status score can be calculated in the following ways:

[0070] Where N is the vehicle health status score, S is the inter-group score of the information group, and M is the weighting coefficient of the inter-group score.

[0071] For example, if the inter-group score for the core components group is 80, with a weighting factor of 0.4; the inter-group score for the safety systems group is 70, with a weighting factor of 0.3; the inter-group score for the exterior and interior design group is 90, with a weighting factor of 0.15; the inter-group score for the operating conditions group is 80, with a weighting factor of 0.05; and the inter-group score for the maintenance and repair group is 70, with a weighting factor of 0.1, then the vehicle's health status score is:

[0072] That is, the vehicle's health status score is 77.5.

[0073] If necessary, the operating condition group can also be replaced with the accident risk correction group.

[0074] Accident risk correction scores can be set based on past accident and maintenance records.

[0075] Furthermore, to convey the vehicle health status score to users in a more concise and clear manner, enabling them to have a clearer understanding of their vehicle's health status, the vehicle's health status can be graded based on the score. For example: 90≤ N ≤100, grade is excellent; 75≤ N ≤89, grade is good; 60≤ N ≤74, grade is qualified; N <60, level requires key maintenance.

[0076] Users can learn about the vehicle's health status information based on the rating and corresponding level.

[0077] The inter-group scores and the weight coefficients of each information group can be filtered using the random forest algorithm, which is a relatively mature algorithm and will not be elaborated upon here.

[0078] The gradient boosting tree algorithm can be used to optimize the iterative vehicle health status assessment algorithm model, thereby improving the accuracy of vehicle health status scoring.

[0079] In some embodiments of the present invention, the wear and tear descriptions of various dimensions can also be output to the user based on the inter-group score and the vehicle's health status score, such as informing the user that the engine needs maintenance and the tires need to be replaced at a certain time.

[0080] In some embodiments of this disclosure, a vehicle dynamic value assessment model is constructed to assess vehicle value based on vehicle health status scores, market data, and corrected vehicle condition information (mainly referring to corrected basic information, including brand, model, mileage, etc.). The vehicle dynamic value assessment model is constructed using the calculation logic of "basic value - depreciation + maintenance value-added".

[0081] The base value is calculated based on the original manufacturer's suggested retail price, market share, and supply and demand trends of similar vehicles; depreciation is calculated based on the inter-group scores of the core component group and the exterior and interior group, as well as the accident risk coefficient, which can be set based on past accident records; maintenance value-added is calculated based on the user's maintenance records and the details of the most recent maintenance. If the maintenance records are complete and the most recent maintenance meets the manufacturer's recommendations, a certain value-added coefficient (e.g., an increase of 0.01 to 0.05) will be given.

[0082] In some embodiments of the present invention, the vehicle dynamic value assessment model of the present invention can not only assess the current value of a vehicle, but also predict the value changes over a future period of time (e.g., six months).

[0083] As one method of predicting changes in value, a combination of time series analysis and multiple regression can be used to predict the trend of changes in vehicle output value.

[0084] Specifically, based on the vehicle's current health status score, the wear rate over the past 6 months, market trend data for similar vehicles, and third-party predictions of future accident / maintenance probabilities, a prediction of the vehicle's value for a future period is obtained.

[0085] The probability of future accidents / maintenances predicted by third parties can be obtained through various platforms, such as predictions made by insurance companies and repair shops based on past accident and repair records.

[0086] The vehicle dynamic value assessment model can be constructed using a predictive framework based on the ARIMA time series algorithm combined with a multiple linear regression model. The construction steps are as follows: Step 1: Analyze the historical value change data of vehicles based on the ARIMA algorithm to predict the basic depreciation trend under the condition of no change in vehicle condition; The second step involves using a multiple linear regression model, with health status score, future maintenance probability, and market trend as independent variables, to correct for the underlying depreciation trend.

[0087] Based on the above-described components, as one possible implementation, the following prediction formula is given:

[0088] in, For predictive value, For current value, r The base depreciation rate (this data can be obtained from market information), t is the prediction time (for example, if...). t =6 means the forecast is for the value six months from the current time. k This is a correction factor for health status.

[0089] Health status correction factor k This can be obtained based on the vehicle's health status score. For example, if the vehicle's health status score is 90 or above, then... k =+0.02; If the vehicle's health status score is below 60, then set k=-0.03.

[0090] To ensure the accuracy of the prediction results, the prediction model can be iterated periodically, and the values ​​of r and k can be adjusted to keep the prediction error rate below 5%, thereby maintaining the error rate at a low level.

[0091] Furthermore, based on changes in value, it can also provide maintenance and operational suggestions. For example, if the value depreciates rapidly in the future, it can suggest optimizing maintenance cycles and adjusting operating routes to reduce congestion.

[0092] After the user executes the relevant suggestions, the user can re-enter the relevant information, and a new value assessment and prediction of future value trends can be performed. New suggestions are then provided, forming a cycle of "assessment – ​​action – reassessment" to continuously maintain the vehicle's health and slow down value depreciation. Thus, while assessing and predicting vehicle value, it also helps maintain and increase the vehicle's value.

[0093] In some embodiments of the present invention, historical evaluation records may also be retained for users to query.

[0094] To verify the accuracy of the vehicle health status monitoring method of the present invention in monitoring vehicle health status, experimental verification was also conducted. The specific verification experiments of the present invention are as follows: Experimental materials: Eighty vehicles that had already been sold were selected as the experimental sample, covering different brands, models, years of operation (1-5 years), and mileage (50,000-300,000 kilometers). The original vehicle condition information (entered by a professional used car appraiser according to the actual condition of the vehicle), third-party reference vehicle condition information (obtained through authorized interfaces of relevant platforms, also known as verification information), and actual transaction prices were extracted from these 80 vehicles.

[0095] Experimental methods: The original vehicle condition information and third-party reference vehicle condition information of 80 sample vehicles were processed using the vehicle health status monitoring method of this invention to obtain vehicle health status scores and value assessment results. The health status scores obtained by the model were compared with the manual assessment results of professional repair technicians, and the value assessment results output by the model were compared with the actual transaction prices of the vehicles to verify the accuracy of the vehicle health status monitoring method of this invention. Furthermore, the vehicle value assessment error rate obtained through this invention was compared with the vehicle value assessment error rate of traditional online valuation systems (which only use basic information such as vehicle model, age, and mileage for valuation).

[0096] Experimental results: Accuracy of health status assessment: The correlation coefficient between the health status score output by the model and the human assessment result reaches 0.89, with an average error of no more than 4 points (out of 100), which can accurately reflect the actual health status of the vehicle.

[0097] Accuracy of vehicle valuation: The average error rate between the vehicle value obtained by this invention and the actual transaction price is 4.2%, which is far lower than the 12%-18% of traditional online valuation systems.

[0098] Validity of information verification: After verification by a third party using reference vehicle condition information, errors in the original vehicle condition information of 12 sample vehicles were successfully identified, ensuring the authenticity of the evaluation results.

[0099] In some embodiments of the present invention, the invention can also diagnose user input behavior to evaluate the authenticity and accuracy of the original vehicle condition information entered by the user. Specifically, a user integrity feedback mechanism can be established in the background. When the reference vehicle condition information from a third-party platform is inconsistent with the original vehicle condition information entered by the user, the information entered by the user the first time can be hidden, and then the user can be asked to enter the information again. If the information entered by the user the second time is still different from the reference vehicle condition information provided by the third-party platform, it can be determined that the user is concealing true information or is unable to obtain true information (such as having forgotten relevant repair or accident records). For input items that cannot be covered by the reference vehicle condition information provided by the third party, the user can be required to re-enter the information to eliminate some erroneous information entered by the user. The basis for this is that when users enter false information, they often do not accurately remember the false information. When entering information repeatedly, they often enter different false information, resulting in inconsistencies between the previous and subsequent inputs, thereby forcing the user to fill in the true information.

[0100] This invention also proposes a vehicle health status monitoring system, applying the vehicle health status monitoring method of any embodiment of this invention. Correspondingly, the vehicle health status monitoring system applying this assessment method also possesses the same advantages as the aforementioned health status monitoring method, which will not be elaborated further here.

[0101] In some embodiments of the present invention, the vehicle health status monitoring system may include a user terminal, a cloud server, and a third-party information interface module.

[0102] The user terminal, which can exist as an application or a web page, serves as the carrier for information input and result display (i.e., the input / output modules are integrated within the user terminal). The user terminal can be located on a user's mobile phone or computer. It can include an information submission and modification module, a result display module, and a historical record query module. The information submission and modification module allows users to save input information in real time and modify or supplement it within 24 hours of submission. The result display module receives vehicle health status scores, wear and tear descriptions across various dimensions, current market value, value change trends, and maintenance recommendations from the cloud server, presenting them intuitively in charts and text. The historical record query module stores users' past input records and corresponding evaluation results, supporting queries by time dimension.

[0103] The cloud server is the core processing unit of the system (i.e., the information processing module is integrated within the cloud server), possessing data receiving, verification, analysis, modeling, and computation functions; it is essentially the "back-end" of the vehicle evaluation system. The cloud server may include a data receiving and storage module and a third-party data verification module. The data receiving and storage module receives raw vehicle condition information submitted by user terminals, storing it in an encrypted database to ensure user information security; it also stores reference vehicle condition information and historical evaluation records obtained from third-party data interfaces. The third-party data verification module can obtain reference vehicle condition information and market information by calling authorized third-party data interfaces.

[0104] The third-party information interface module serves as the system's data supplementation and verification channel. It is centrally managed by the cloud server and uses API protocols for data interaction. All interfaces are authorized and registered to ensure the legality and security of data acquisition. The module also supports dynamic interface expansion, allowing the addition of specialized interfaces such as those for regional repair shops and local vehicle management offices. The third-party information interface module can include interfaces for vehicle management offices, insurance companies, repair shop alliances, vehicle manufacturers, and used car market information. The specific data accessed by each interface is as follows: Vehicle Management Office Interface: Verifies the authenticity of basic information such as vehicle brand, model, manufacturing date, registration date, and number of ownership transfers; Insurance company interface: Obtain vehicle accident records (accident type, number of accidents, claim amount) and verify whether the user has concealed their accident history; Repair shop alliance interface: Obtain vehicle maintenance records at partner repair shops (repair time, repair parts, maintenance items), and cross-validate the maintenance information entered by the user; Vehicle manufacturer interface: Obtain original technical parameters of the vehicle (design life of core components, maintenance cycle recommendations) as the basic parameters for the evaluation model; Used car market information interface: Real-time access to market transaction prices and supply and demand trend data for similar ride-hailing vehicles.

[0105] The vehicle health status monitoring system of the present invention may include software that implements the relevant functions, and may also include hardware devices that carry all or part of the software therein.

[0106] The vehicle health status monitoring method and assessment system of this invention eliminates the need for onboard terminals and sensors in vehicles. Employing a lightweight "online input + third-party verification" solution, users can submit information simply through a mobile application or web page. This low-cost, low-barrier-to-entry approach makes it suitable for various user groups, including individual car owners, small and medium-sized operating platforms, and large platforms. Compared to solutions that require onboard hardware to detect vehicle information, this significantly reduces usage costs and operational complexity. Furthermore, compared to traditional online valuation systems, it provides standardized input guidance, ensuring accurate and comprehensive feedback on vehicle status from users.

[0107] This invention guides users to comprehensively input key information about vehicle core components, safety systems, exterior and interior design, maintenance, and repairs through standardized input fields, solving the problem of incomplete information input in traditional online valuations. Simultaneously, it verifies the authenticity of user-entered information through a third-party platform, eliminating concealed and false information to ensure the reliability of the assessment data. The comprehensiveness and authenticity of the data directly improve the input quality of the assessment model, laying a solid foundation for subsequent health assessments and value calculations, and addressing the core pain point of "incomplete and inaccurate" assessment data in existing technologies.

[0108] This invention also achieves quantitative scoring of vehicle health status and multi-dimensional depreciation descriptions. Compared to traditional online valuation methods that only provide a general value, this invention helps users more accurately grasp the vehicle's condition. The dynamic value assessment model integrates health status, third-party verified data, and real-time market conditions, breaking through the linear depreciation logic of traditional fixed formulas. It can reflect the non-linear impact of factors such as the condition of core components and maintenance quality on value. Experimental results show that the value assessment error rate of this invention is only 4.2%, far lower than traditional online valuation systems. The accuracy and objectivity of the assessment results are significantly improved, providing a reliable value reference for vehicle disposal, sale, and transaction negotiations.

[0109] This invention allows users to periodically input vehicle status information and track changes in vehicle health and value trends through historical record queries. Combined with targeted maintenance suggestions pushed by the system, users can take timely maintenance measures to prevent accelerated wear and tear caused by unaddressed minor faults, thereby slowing down the rate of value depreciation. Compared to existing technologies that only provide single-time valuations, this invention achieves a closed loop of daily vehicle health monitoring and value management, helping users preserve and increase the value of their vehicles.

[0110] The lightweight solution of this invention is particularly suitable for multiple scenarios such as the disposal and sale of ride-hailing vehicles, daily health monitoring, used car transactions, and financing and mortgage, meeting the needs of users, operating platforms, used car appraisal agencies, and other parties. The standardized input items and evaluation system establish a unified standard for evaluating the value of ride-hailing vehicles, reducing disputes between the two parties due to information asymmetry and promoting the standardized and transparent development of the ride-hailing market.

[0111] Obviously, the above embodiments are merely illustrative examples for clear explanation and are not intended to limit the implementation. Those skilled in the art will recognize that other variations or modifications can be made based on the above description. It is neither necessary nor possible to exhaustively list all possible implementations here. However, obvious variations or modifications derived therefrom are still within the scope of protection of this invention.

[0112] In the description of this invention, it should be understood that the terms "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "inner", "outer", etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are only for the convenience of describing this invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on this invention.

[0113] In this invention, unless otherwise explicitly specified and limited, the terms "installation," "connection," "linking," and "fixing," etc., should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral part; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; they can refer to the internal communication of two components or the interaction between two components, unless otherwise explicitly limited. Those skilled in the art can understand the specific meaning of the above terms in this invention according to the specific circumstances.

[0114] In this invention, unless otherwise explicitly specified and limited, "above" or "below" the second feature can mean that the first feature is in direct contact with the second feature, or that the first feature is in indirect contact with the second feature through an intermediate medium. Furthermore, "above," "over," and "on top" of the second feature can mean that the first feature is directly above or diagonally above the second feature, or simply that the first feature is at a higher horizontal level than the second feature. "Below," "below," and "under" the second feature can mean that the first feature is directly below or diagonally below the second feature, or simply that the first feature is at a lower horizontal level than the second feature.

[0115] In the description of this specification, the references to terms such as "one embodiment," "some embodiments," "example," "specific example," or "some examples," etc., refer to specific features, structures, materials, or characteristics described in connection with that embodiment or example, which are included in at least one embodiment or example of the present invention. In this specification, the illustrative expressions 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 one or more embodiments or examples. Moreover, without contradiction, those skilled in the art can combine and integrate the different embodiments or examples described in this specification, as well as the features of different embodiments or examples.

[0116] Although embodiments of the present invention have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present invention. Those skilled in the art can make changes, modifications, substitutions and variations to the above embodiments within the scope of the present invention.

Claims

1. A method for monitoring the health status of a vehicle, characterized in that, Based on an input / output module, an information processing module, and a third-party information interface module, the vehicle health status monitoring method includes: S1: Obtain the vehicle's original condition information based on the input / output module; S2: Obtain reference vehicle condition information from a third-party platform based on the third-party information interface module; S3: The information processing module corrects the original vehicle condition information based on the reference vehicle condition information to obtain corrected vehicle condition information; S4: The information processing module obtains vehicle market information from a third-party platform based on the third-party information interface module, and evaluates the health status of the vehicle based on the corrected vehicle condition information and the market information.

2. The vehicle health status monitoring method according to claim 1, characterized in that, The original vehicle condition information in step S1 includes static information. The input / output module outputs standardized input items with fixed options to the user and obtains static information based on the user input.

3. The vehicle health status monitoring method according to claim 2, characterized in that, The original vehicle condition information also includes dynamic information, which includes video. Step S1 includes: S11: Obtain the original vehicle information, including static and dynamic information, based on the input / output module; S12: The information processing module analyzes and diagnoses the video in the original vehicle condition information. Based on the analysis results, the output module outputs further video recording requirements to the user. S13: The input / output module acquires the video again based on the user's input, and the information processing module analyzes and diagnoses the video acquired again.

4. The vehicle health status monitoring method according to claim 3, characterized in that, The video in the dynamic information includes at least images of an engine in operation; "Analyzing and diagnosing the video in the original vehicle condition information" includes analyzing the images of the engine in operation to obtain the engine health status, and "further video recording requirements" includes requiring the recording of images of the engine at specific locations and / or in specific operating states.

5. The vehicle health status monitoring method according to claim 4, characterized in that, The dynamic information also includes audio, which is synchronized with the video.

6. The vehicle health status monitoring method according to claim 4 or 5, characterized in that, The specific operating state includes one or more of the following: specific speed, specific gear, specific gear shifting process, and start-stop process.

7. The vehicle health status monitoring method according to claim 1, characterized in that, Step S4 includes: S41: The information processing module obtains a vehicle health status score based on the corrected vehicle condition information; S42: The information processing module assesses the value of the vehicle based on the vehicle's health status score and the market information obtained from a third-party platform.

8. The vehicle health status monitoring method according to claim 7, characterized in that, The corrected vehicle condition information includes multiple information groups, including core component group, safety system group, exterior and interior group, operating condition group, and maintenance group. The information processing module obtains the inter-group score of each information group based on the corrected vehicle condition information, assigns different weights to the inter-group scores of each information group, and calculates the vehicle's health status score based on a weighted summation method.

9. The vehicle health status monitoring method according to claim 8, characterized in that, Each information group includes multiple input items. Based on the corrected vehicle condition information, the health coefficient corresponding to each input item is obtained. At least some different weights are assigned to each input item within the same information group. The inter-group score of each information group is calculated based on a weighted summation method.

10. A vehicle health status monitoring system, characterized in that, The vehicle health status monitoring method as described in any one of claims 1-9 is applied.

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