Tire life cycle monitoring method

Abstract

The invention relates to the technical field of data management, in particular to a tire life cycle monitoring method which comprises the following steps: reading an RFID tag on a tire, acquiring real-time tire data of the tire, and comparing the real-time tire data with a preset tire threshold value; if the real-time tire data exceeds the tire threshold value, triggering a corresponding alarm mechanism, maintaining the tire, calling tire maintenance historical data, predicting the remaining expected service life of the tire based on the tire maintenance historical data, and tracking the tire to a recycle bin when the tire reaches the remaining expected service life; and calling a pre-trained identification model, inputting the real-time tire data into the identification model, obtaining a tire early warning result, generating a corresponding tire state report based on the tire early warning result and tire maintenance historical data collected last time, and pushing the tire state report to a user based on a mobile application program. Intelligent and efficient tire management can be realized.

Description

Technical Field

[0001] The present application relates to the technical field of data management, and in particular to a tire life cycle monitoring method. Background Art

[0002] With the development of the logistics industry, vehicle tires, as an important component of vehicles, have a direct impact on the operating efficiency and safety of vehicles. Traditional manual management methods can no longer meet the large-scale and high-frequency tire maintenance needs of modern fleets.

[0003] Therefore, RFID (Radio Frequency Identification) technology has been widely used in tire management due to its non-contact, long-distance reading, high efficiency and other characteristics. However, the existing RFID technology still has some shortcomings in practical applications, such as limited reading distance, easy conflicts when reading multiple tags, and lack of effective tire life cycle management methods.

[0004] From the above, it can be seen that the problem of how to improve the efficiency of tire management still needs to be solved. Summary of the invention

[0005] In order to achieve intelligent and efficient management of tires, the present application provides a tire life cycle monitoring method.

[0006] In a first aspect, the present application provides a tire life cycle monitoring method, which adopts the following technical solution: A tire life cycle monitoring method includes: based on an RFID tag containing a unique identification code installed on the tire, reading the RFID tag on the tire based on an RFID reader, obtaining real-time tire data corresponding to the tire, uploading the real-time tire data to a central database, and comparing the real-time tire data with a preset tire threshold; if the real-time tire data exceeds the tire threshold, triggering a corresponding alarm mechanism, repairing the tire, retrieving corresponding tire maintenance history data, and predicting the remaining expected service life of the tire based on the tire maintenance history data, and tracking the tire to a recycling site through an RFID tag when the tire reaches the remaining expected service life; retrieving a pre-trained recognition model, inputting the real-time tire data into the recognition model, obtaining a corresponding tire warning result, generating a corresponding tire status report based on the tire warning result and the tire maintenance history data collected last time, networking the tire management system with a vehicle monitoring platform, and pushing the tire status report to a user based on a mobile application.

[0007] By adopting the above technical solution, the tire status is monitored in real time through RFID tags, and the data is uploaded to the central database to ensure the real-time and accuracy of the data; the real-time data is compared with the preset threshold, and once the threshold is exceeded, the alarm mechanism is immediately triggered and maintenance is carried out in time; the maintenance history data of the tire is retrieved, and the remaining service life of the tire is predicted using the historical data to prepare for replacement in advance; the real-time data is analyzed using the pre-trained recognition model to generate tire warning results to improve the accuracy and timeliness of the warning; a comprehensive tire status report is generated by combining the tire warning results with the historical maintenance data, and pushed to the user in real time through the mobile application, so that the user can understand the tire condition at any time and take corresponding measures.

[0008] Optionally, in the process of predicting the remaining expected service life of the tire based on the tire maintenance history data, the method also includes: determining the corresponding target vehicle based on the tire of the collected data; retrieving the periodic driving history data corresponding to the target vehicle; and determining the corresponding remaining expected service life based on the periodic driving history data and the tire maintenance history data.

[0009] By adopting the above technical solution, in the process of predicting the remaining expected service life of a tire, the corresponding target vehicle is determined based on the collected data, and the remaining expected service life of the tire is determined through comprehensive analysis combined with the tire maintenance history data. This can more accurately evaluate the usage status of the tire and improve the accuracy and reliability of the prediction.

[0010] Optionally, the method also includes: retrieving corresponding tire maintenance history data and real-time tire data, generating corresponding reminder suggestions based on the tire maintenance history data and the real-time tire data, wherein the reminder suggestions include multiple suggestion options; sending the reminder suggestions to the user, and obtaining corresponding feedback data from the user, wherein the feedback data is multiple suggestion options determined by the user in the reminder suggestions; generating a corresponding collection strategy based on the feedback data, and adjusting the cycle of tire data collection based on the collection strategy.

[0011] By adopting the above technical solution, corresponding collection strategies are generated according to user feedback data, and the tire data collection cycle is adjusted accordingly, so as to achieve more personalized and accurate data collection management, which can improve the pertinence and efficiency of tire management and ensure that data collection is more in line with actual usage needs.

[0012] Optionally, the method also includes: obtaining the current working condition data of the tire, wherein the working condition data includes vehicle speed, load, road conditions, and seasonal environment; retrieving the corresponding remaining expected service life, and determining whether the tire threshold needs to be adjusted based on the working condition data and the remaining expected service life; if so, adjusting the tire threshold, wherein the tire threshold includes tire pressure, temperature, and wear.

[0013] By adopting the above technical solution, by obtaining the current working condition data of the tire (such as vehicle speed, load, road condition, seasonal environment), and combining it with the remaining expected service life of the tire, it is determined whether the tire threshold (such as tire pressure, temperature, wear) needs to be adjusted; if necessary, corresponding adjustments are made to ensure that the tire is always in the best condition under different working conditions, improve the accuracy and reliability of tire management, and make tire management more intelligent and adaptable.

[0014] Optionally, in the process of generating a corresponding tire status report based on the tire warning result and the tire maintenance history data collected last time, the method also includes: retrieving real-time tire data collected in the past, and generating a corresponding change trend graph for the real-time tire data based on a time series; comparing the tire maintenance history data with the change trend graph corresponding to the real-time tire data, and determining problem parameters of potential problems based on the comparison result; and generating a corresponding tire status report in combination with the tire warning result and the problem parameters.

[0015] By adopting the above technical solution, real-time tire data collected in the past is retrieved and a change trend chart is generated based on the time series; the tire maintenance history data is compared with these change trend charts to determine the problem parameters with potential problems; then a tire status report is generated by combining the tire warning results with the problem parameters; through trend analysis of historical data, potential problems can be more accurately identified, thereby improving the accuracy and practicality of the tire status report.

[0016] Optionally, the method also includes: creating a virtual environment, scanning the tire based on a mobile device camera to obtain corresponding index data, and displaying various indicators of the tire in real time in the virtual environment based on the index data; determining corresponding key parameters based on the index data, and marking the key parameters on the tire image in the virtual environment; and generating detailed maintenance steps by combining the real-time tire data and the key parameters.

[0017] By adopting the above technical solution, the tire is scanned by the mobile device camera to obtain index data, and various tire indicators are displayed in real time in the virtual environment; key parameters are determined based on the index data and marked on the tire image in the virtual environment; detailed maintenance steps are generated by combining real-time tire data and key parameters. In this way, the tire status can be intuitively displayed through augmented reality technology, and precise maintenance guidance can be provided to improve maintenance efficiency and accuracy.

[0018] In a second aspect, the present application provides a tire life cycle monitoring device, which adopts the following technical solution: A tire life cycle monitoring device, comprising: A real-time tire data acquisition module, based on an RFID tag containing a unique identification code installed on the tire, reads the RFID tag on the tire based on an RFID reader, is used to acquire real-time tire data corresponding to the tire, upload the real-time tire data to a central database, and compare the real-time tire data with a preset tire threshold; A remaining expected service life prediction module, which triggers a corresponding alarm mechanism if the real-time tire data exceeds the tire threshold, repairs the tire, retrieves the corresponding tire maintenance history data, and uses the tire maintenance history data to predict the remaining expected service life of the tire. When the tire reaches the remaining expected service life, the tire is tracked to a recycling site through an RFID tag; The tire status report generation module calls a pre-trained recognition model, inputs the real-time tire data into the recognition model, obtains a corresponding tire warning result, generates a corresponding tire status report based on the tire warning result and the tire maintenance history data collected last time, connects the tire management system to the vehicle monitoring platform, and pushes the tire status report to the user based on the mobile application.

[0019] In a third aspect, the present application provides a tire life cycle monitoring method, which adopts the following technical solution: A tire life cycle monitoring method includes a processor, wherein a program of any one of the above tire life cycle monitoring methods is running on the processor.

[0020] In a fourth aspect, the present application provides a storage medium, which adopts the following technical solution: A storage medium stores a program of any one of the above tire life cycle monitoring methods.

[0021] In summary, the present application includes at least one of the following beneficial technical effects: The tire status is monitored in real time through RFID tags, and the data is uploaded to the central database to ensure the real-time and accuracy of the data; it is compared with the preset threshold, and once the threshold is exceeded, the alarm mechanism is immediately triggered and maintenance is carried out in time; the tire maintenance history data is retrieved and combined with the target vehicle's periodic driving history data to predict the remaining service life of the tire; the tire threshold is adjusted according to the current working condition data to ensure that the tire is always in the best condition under different working conditions.

[0022] Generate reminder suggestions based on historical tire maintenance data and real-time tire data, and adjust the tire data collection cycle according to user feedback to achieve personalized and accurate data collection management; generate a trend chart of tire data changes through time series analysis and compare it with historical maintenance data to determine potential problem parameters and generate a more accurate tire status report; scan the tire through the mobile device camera and display various indicators in real time in a virtual environment, determine key parameters and generate detailed maintenance steps to improve maintenance efficiency and accuracy. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] Figure 1 The figure is a flow chart showing a tire life cycle monitoring method according to an exemplary embodiment.

[0024] Figure 2 The figure is a structural block diagram of a tire life cycle monitoring device according to an exemplary embodiment. DETAILED DESCRIPTION

[0025] Embodiments of the present application are described in detail below, examples of which are shown in the accompanying drawings.

[0026] In the description of this specification, the description with reference to the terms "certain embodiments", "one embodiment", "some embodiments", "illustrative embodiments", "examples", "specific examples", or "some examples" means that the specific features, structures, materials, or characteristics described in conjunction with the embodiments or examples are included in at least one embodiment or example of the present application. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials, or characteristics described may be combined in any one or more embodiments or examples in a suitable manner.

[0027] The present application embodiment discloses a tire life cycle monitoring method, referring to Figure 1 ,include: S100, based on an RFID tag containing a unique identification code installed on the tire, the RFID tag on the tire is read by an RFID reader, real-time tire data corresponding to the tire is obtained, the real-time tire data is uploaded to a central database, and the real-time tire data is compared with a preset tire threshold.

[0028] Among them, RFID tags containing unique identification codes are installed on the tires. These tags can store basic information and status data of the tires. Then, an RFID reader can be used to read the RFID tag information on the tires. The RFID reader communicates with the RFID tags through wireless signals to read the data in the tags.

[0029] It should be pointed out here that the real-time tire data contained in the RFID tag includes but is not limited to tire pressure, temperature, degree of wear, etc. These data are read out by the RFID reader, and the read real-time tire data is uploaded to the central database, so as to realize real-time monitoring and ensure that the status of the tire during use is recorded and monitored in time.

[0030] In addition, various tire thresholds are pre-set in the system, such as the maximum and minimum tire pressures, maximum temperatures, etc. These thresholds are usually set according to the tire manufacturer's standards or industry specifications. The real-time tire data collected in real time is compared with the preset tire thresholds. The system will check each item of real-time data to see if it meets the threshold requirements. If the real-time data exceeds the threshold, it means that the tire may have an abnormality.

[0031] S110, if the real-time tire data exceeds the tire threshold, the corresponding alarm mechanism is triggered, the tire is repaired, and the corresponding tire maintenance history data is retrieved. The remaining expected service life of the tire is predicted based on the tire maintenance history data. When the tire reaches the remaining expected service life, the tire is tracked to the recycling site through the RFID tag.

[0032] Among them, when the real-time tire data exceeds the threshold, the system triggers the alarm mechanism, and the alarm information is usually notified to relevant personnel through system messages, text messages or mobile applications; at this time, the tire needs to be repaired to fix the abnormal state, which usually includes dispatching technicians for on-site inspection and repair.

[0033] By retrieving the maintenance history data of the tire, it is easy to understand the previous maintenance records, which can help maintenance personnel better understand the condition of the tire. In addition, based on the historical maintenance data, the remaining expected service life of the tire can be predicted, and the replacement plan can be arranged more reasonably.

[0034] When a tire reaches the end of its expected remaining service life, the system makes a judgment and then tracks the tire to the designated recycling site through an RFID tag. The RFID tag can record the tire's location information to ensure that the tire is correctly delivered to the recycling site. The system also records the tire's recycling process to ensure data integrity and traceability, thereby ensuring that waste tires can be effectively recycled, reducing environmental pollution, and achieving closed-loop management of tires from use to recycling, thereby improving resource utilization efficiency.

[0035] S120, retrieve the pre-trained recognition model, input the real-time tire data into the recognition model, obtain the corresponding tire warning result, generate the corresponding tire status report based on the tire warning result and the tire maintenance history data collected last time, connect the tire management system to the vehicle monitoring platform, and push the tire status report to the user based on the mobile application.

[0036] Among them, a pre-trained recognition model is called, and the recognition model is trained based on a large amount of historical data and machine learning technology; the real-time tire data is input into the recognition model, and the recognition model will analyze and process the input data, and obtain the tire warning result of the tire according to the output of the recognition model. The tire warning result may include whether the tire needs further inspection, whether there is a potential fault, etc.; thereby improving the accuracy and timeliness of the warning.

[0037] It should be pointed out here that the training process for the recognition model includes: first, it is necessary to collect a large amount of tire operation data and maintenance records, clean, standardize and extract features from the data, then select a suitable machine learning or deep learning model, and train the model through the training set, and adjust the hyperparameters to optimize the model performance. Next, use the validation set to evaluate the generalization ability of the model, and perform a final test on the test set to ensure the effectiveness of the model. Finally, the trained model is deployed to the tire management system to realize early warning analysis of real-time data. Through this series of steps, the recognition model can learn the changing rules of tire status based on historical data, so as to accurately warn and analyze the real-time data of tires in practical applications, and improve the intelligence and reliability of tire management.

[0038] In addition, the tire warning results are integrated with the tire maintenance history data collected last time, which includes the current warning results and historical maintenance records; a tire status report is generated based on the integrated data. The report includes the current status of the tire, historical maintenance records, potential problems and recommended measures, and the report usually lists various tire indicators, such as tire pressure, temperature, wear degree, etc., and comes with detailed analysis and suggestions.

[0039] Finally, the tire management system is connected to the vehicle monitoring platform to realize data sharing. The tire data can be processed together with other vehicle monitoring data, and the tire status report can be pushed to the user through the mobile application. The user can receive and view the tire status report through the mobile application, making it convenient for the user to view and manage the tire status.

[0040] Based on executing steps S100 to S120, real-time monitoring, early warning, maintenance, life management and information push of tire status are realized to ensure safe and efficient use of the tire throughout its life cycle.

[0041] It should be noted here that in the embodiment of the present application, in the process of predicting the remaining expected service life of the tire based on the tire maintenance history data, in order to further improve the accuracy of the remaining expected service life prediction, the method also includes: S111, determining a corresponding target vehicle based on the tire of the collected data.

[0042] The system first extracts the tire's unique identification code from the real-time tire data read by the RFID tag. Using the tire's unique identification code, the system searches the database for the target vehicle information to which the tire belongs, confirms the relationship between the tire and the target vehicle, and ensures the accuracy of the data.

[0043] S112, retrieve the periodic driving history data corresponding to the target vehicle.

[0044] Among them, the system retrieves the vehicle's periodic driving history data from the central database based on the target vehicle's information, and screens out important driving data related to tire use, such as mileage, speed, load, road conditions, etc., and integrates these driving history data together for further analysis.

[0045] S113, determining the corresponding remaining expected service life based on the periodic driving history data and the tire maintenance history data.

[0046] Among them, the target vehicle's periodic driving history data and the tire maintenance history data are integrated to form a comprehensive data set. By analyzing the comprehensive data set, the wear and usage conditions of the tires under different driving conditions can be identified, so that the remaining expected service life of the tires can be judged more accurately; by integrating the periodic driving history data and the tire maintenance history data, the usage condition of the tire can be more accurately evaluated.

[0047] By executing steps S111 to S113, the tire usage status can be comprehensively analyzed based on the tire maintenance history data and the target vehicle's periodic driving history data, and its remaining expected service life can be predicted. This process ensures the accuracy and reliability of tire management, helping users to understand the health status of tires in a timely manner and take corresponding maintenance measures.

[0048] For the solution of the present application, it is necessary to collect tire data, and at different use stages and in different use environments of the tire, the cycle for collecting tire data each time needs to be adjusted in time. The method also includes: S114, retrieve corresponding tire maintenance history data and real-time tire data, and generate corresponding reminder suggestions based on the tire maintenance history data and real-time tire data.

[0049] Among them, the maintenance history data of the tire is retrieved from the central database, including previous maintenance records, fault records, replacement records, etc.; the real-time data of the current tire is obtained from the RFID reader, such as tire pressure, temperature, degree of wear, etc.; the retrieved maintenance history data is integrated with the real-time tire data to form a comprehensive data set.

[0050] The integrated tire maintenance history data and real-time tire data are analyzed to identify the current status and potential problems of the tires, and reminder suggestions are generated based on the analysis results. The reminder suggestions include multiple suggestion options. For example, it is recommended to check immediately, to check regularly, to replace tires, etc. For the content of the suggestion options, it is necessary to ensure that the reminder suggestions are specific and clear so that users know how to deal with the current tire condition. By analyzing historical and real-time data, specific maintenance suggestions are provided to help users better manage tires. Multiple suggestion options can also be provided to allow users to choose the most appropriate measures based on actual conditions.

[0051] S115, sending the reminder suggestion to the user and obtaining corresponding feedback data from the user.

[0052] Among them, reminder suggestions are sent to users through mobile applications or other channels, and users receive reminder suggestions through mobile applications and view specific content. Users select corresponding suggestion options according to the reminder suggestions, and send the selected suggestion options back to the system as feedback data. This allows users to participate in the tire management process, improves user participation, and ensures that the user's actual operations are recorded.

[0053] In addition, based on the data fed back by users, a new tire data collection strategy is generated. For example, if the user selects "regular inspection", the data collection cycle can be appropriately extended; if "immediate inspection" is selected, the data collection cycle can be shortened. The generated new collection strategy is then applied to the system, the tire data collection cycle is adjusted, and the data collection process is restarted according to the new collection cycle.

[0054] S116, generating a corresponding collection strategy based on the feedback data, and adjusting a cycle of tire data collection based on the collection strategy.

[0055] By executing the above steps S114 to S116, the system can generate reminder suggestions based on the tire maintenance history data and real-time tire data, and adjust the tire data collection cycle based on the user's feedback data, which can not only improve the intelligence level of tire management, but also enhance the user's sense of participation, ensuring that tire management is more efficient and personalized.

[0056] In addition, for the present application, the tire threshold is an important basis for judgment, which directly affects the accuracy of the overall solution. In different environments, it is necessary to switch the appropriate threshold parameters for judgment so that the present solution can be adapted to various application scenarios. Therefore, the method also includes: S117, obtaining current working condition data of the tire.

[0057] Among them, the current vehicle speed, load, road conditions, seasonal environment and other information are obtained through on-board sensors (such as GPS, accelerometers, pressure sensors, etc.), and these working condition data are integrated into the system to ensure the integrity and accuracy of the data; it can ensure that the system can obtain the working condition data of the tire in real time.

[0058] S118, retrieve the corresponding remaining expected service life, and determine whether the tire threshold needs to be adjusted based on the working condition data and the remaining expected service life.

[0059] The maintenance history data of the tire is retrieved, and the remaining expected service life of the tire is predicted based on the data. The predicted remaining expected service life is recorded for subsequent use in determining whether the tire threshold needs to be adjusted.

[0060] The current working condition data (such as vehicle speed, load, road condition, seasonal environment, etc.) is compared with the remaining expected service life of the tire, and the tire threshold needs to be adjusted based on the comparison result. For example, if the current working conditions are relatively severe (such as high-speed driving, heavy load, severe road surface, etc.) and the remaining service life of the tire is short, the threshold may need to be adjusted.

[0061] If the judgment result shows that the tire threshold needs to be adjusted, proceed to the next step. By comprehensively analyzing the working condition data and the remaining service life, it is determined whether the tire threshold needs to be adjusted, which can ensure the safety of the tire under different working conditions and improve management efficiency.

[0062] S119: If yes, adjust the tire threshold.

[0063] Among them, if the judgment result shows that the tire threshold needs to be adjusted, the specific threshold parameters are adjusted according to the current working conditions, such as tire pressure, temperature, wear, etc., the adjusted threshold parameters are set to the system to ensure that the new threshold takes effect, and the adjusted threshold parameters are recorded.

[0064] Through the above steps S117 to S119, the system can determine whether it is necessary to adjust the tire threshold (such as tire pressure, temperature, wear) based on the current working condition data of the tire (such as vehicle speed, load, road conditions, seasonal environment, etc.) and the remaining expected service life of the tire. This process ensures the safety and optimal performance of the tire under different working conditions and improves the intelligence and reliability of tire management.

[0065] It should be noted here that in the process of generating a corresponding tire status report based on the tire warning result and the tire maintenance history data collected last time, the method further includes: S121, retrieve the real-time tire data collected in the past, and generate a corresponding change trend graph based on the time series of the real-time tire data.

[0066] Among them, the real-time tire data collected in the past are retrieved from the central database, including but not limited to tire pressure, temperature, degree of wear, etc., and these real-time data are arranged in chronological order to ensure the time series nature of the data; data visualization tools (such as charting software or drawing libraries in programming languages) are used to convert time series data into change trend graphs, and the trend graphs are used to intuitively display the changes in various tire parameters over time, which facilitates the analysis of tire status changes.

[0067] S122, comparing the tire maintenance history data with the change trend graph corresponding to the real-time tire data, and determining problem parameters with potential problems based on the comparison result.

[0068] Among them, the maintenance history data of the tire is retrieved from the central database, including maintenance time, maintenance content, replacement records, etc., and the maintenance history data is compared and analyzed with the change trend chart of the real-time tire data to find the correlation between the two. Through comparative analysis, parameters with potential problems are identified, that is, those parameters that show abnormal changes in the trend chart.

[0069] By comparing the maintenance history data with the change trend chart of real-time data, potential problems with the tire can be identified more accurately, which can help users or maintenance personnel quickly locate the problem parameters so that they can take appropriate measures.

[0070] Based on the comparison of trend charts with historical maintenance data, determine which parameters show potential problems. For example, if tire pressure fluctuates abnormally over a period of time, and tire maintenance happens to be performed during this period, tire pressure can be considered a potential problem parameter. Record these potential problem parameters in preparation for generating a tire status report. Determine the problem parameters through comparative analysis to ensure that key information is included in the tire status report.

[0071] S123, generating a corresponding tire status report in combination with the tire warning result and the problem parameter.

[0072] The tire warning results are integrated with the previously determined problem parameters, and a tire status report is generated based on the integrated data. The report should include the current tire status, historical maintenance records, potential problem parameters and corresponding recommended measures. It should be pointed out here that the report should clearly display the tire status, historical maintenance, potential problems and recommended measures to ensure that users can quickly understand the current condition of the tire.

[0073] By executing the above steps S121 to S123, the system can retrieve the real-time tire data collected in the past and generate a change trend chart based on the tire warning results and the tire maintenance history data collected last time, and then determine the problem parameters with potential problems by comparing the change trend charts of historical data and real-time data, and finally generate a tire status report based on the tire warning results and problem parameters; this process ensures the intelligence and efficiency of tire management, helping users to understand the current condition of the tires in a timely manner and take corresponding maintenance measures.

[0074] Finally, in order to facilitate users to understand the tire conditions, the method also includes: S124, creating a virtual environment, scanning the tires with a camera of a mobile device to obtain corresponding index data, and displaying various indexes of the tires in real time in the virtual environment based on the index data.

[0075] Among them, augmented reality (AR) technology or other similar technologies are used to create a virtual environment that can run on a user's mobile device (such as a smartphone or tablet); when the user points the camera of the mobile device at the tire, the application captures the image of the tire and begins to analyze the condition of the tire.

[0076] Through image processing algorithms, key tire indicator data such as tread depth, tire pressure, tire wear condition, etc. are extracted from the images captured by the camera. In the virtual environment, the status of the tire model is updated in real time based on the extracted indicator data, allowing users to directly see the specific values ​​of various tire indicators.

[0077] Users can immediately see the current status of the tire and obtain important information without the need for specialized tools. It also enhances the user experience and makes the tire inspection process more intuitive and interactive.

[0078] S124, determining corresponding key parameters based on the indicator data, and marking the key parameters on the tire image in the virtual environment.

[0079] Among them, according to the extracted indicator data, it can be determined which indicators are beyond the normal range or need special attention. These indicators that exceed the normal value are the key parameters. On the tire image in the virtual environment, these key parameters are marked by highlighting, arrows or other visual prompts, so that users can see at a glance where the problem is. By presenting the problem in an intuitive way, even non-professionals can easily understand it, allowing users to quickly pay attention to the areas on the tire that need attention.

[0080] S125, generating detailed maintenance steps by combining the real-time tire data and key parameters.

[0081] Among them, real-time tire data is combined with identified key parameters to form a comprehensive data set. Based on this data, the system will generate a detailed maintenance step guide, including specific information such as how to solve the problems found, the tools and materials needed, etc. The maintenance steps can be presented in a virtual environment in the form of text, images or even videos for user reference.

[0082] Through the above three steps, the system can not only use the mobile device's camera to scan and obtain the actual status of the tire, but also display this data in real time in a virtual environment and give targeted maintenance suggestions based on the data. This method not only improves the efficiency of tire inspection, but also increases the interactivity and intuitiveness of the user experience.

[0083] In summary, the present application scheme realizes real-time monitoring, early warning, maintenance, life management and information push of tire status, ensuring the safe and efficient use of tires throughout their life cycle, specifically including the following functions: 1. Real-time monitoring of tire status can ensure that the status of the tire during use is recorded and monitored in a timely manner; by comparing real-time tire data with preset thresholds, abnormal conditions can be detected in time and the alarm mechanism can be triggered.

[0084] 2. When tire data exceeds the threshold, the system triggers an alarm mechanism and can promptly notify relevant personnel to perform repairs. The remaining expected service life of the tire is predicted based on the tire maintenance history data, and when the service life is reached, the tire is tracked to the recycling site through RFID tags, which can achieve closed-loop management of the tire.

[0085] 3. Use pre-trained recognition models to analyze real-time tire data and generate tire warning results, which can improve the accuracy and timeliness of warnings. It can also combine tire warning results with historical maintenance data to generate tire status reports, and push reports to users through mobile applications to help users better manage tires.

[0086] 4. Based on the tire maintenance history data and the target vehicle's periodic driving history data, the tire usage status can be comprehensively analyzed to predict the remaining expected service life of the tire, thereby improving the prediction accuracy; and by adjusting the tire data collection cycle to ensure that data collection is more in line with actual usage needs, the pertinence and efficiency of tire management can be improved.

[0087] 5. Adjusting the tire threshold according to the current working condition data of the tire (such as vehicle speed, load, road conditions, seasonal environment, etc.) can ensure the safety of the tire under different working conditions; by dynamically adjusting the threshold, the adaptability and reliability of tire management can be improved.

[0088] 6. By generating a trend chart of tire data changes and comparing it with historical maintenance data, potential problem parameters can be identified, thereby improving the accuracy of problem identification; combining the warning results with the problem parameters to generate a tire status report, providing more accurate tire status assessment and maintenance recommendations.

[0089] 7. Scanning tires with the mobile device camera and displaying various indicators in real time in a virtual environment can improve the interactivity and intuitiveness of the user experience; and marking key parameters and generating detailed maintenance steps in a virtual environment provide clear maintenance instructions to help users or technicians solve problems correctly.

[0090] The present application embodiment discloses a tire life cycle monitoring device, referring to Figure 2 , including but not limited to: A real-time tire data acquisition module 200 is based on an RFID tag containing a unique identification code installed on the tire, and is used to read the RFID tag on the tire based on an RFID reader, so as to acquire real-time tire data corresponding to the tire, upload the real-time tire data to a central database, and compare the real-time tire data with a preset tire threshold; The remaining expected service life prediction module 210 triggers a corresponding alarm mechanism if the real-time tire data exceeds the tire threshold, repairs the tire, retrieves the corresponding tire maintenance history data, and uses the tire maintenance history data to predict the remaining expected service life of the tire. When the tire reaches the remaining expected service life, the tire is tracked to a recycling site through an RFID tag; The tire status report generation module 220 calls a pre-trained recognition model, inputs real-time tire data into the recognition model, obtains corresponding tire warning results, generates corresponding tire status reports based on the tire warning results and the last collected tire maintenance history data, connects the tire management system to the vehicle monitoring platform, and pushes tire status reports to users based on mobile applications.

[0091] Further, including but not limited to: A target vehicle determination module is used to determine the corresponding target vehicle based on the tires of the collected data; A periodic driving history data retrieval module is used to retrieve the periodic driving history data corresponding to the target vehicle; The remaining expected service life determination module is used to determine the corresponding remaining expected service life based on the periodic driving history data and the tire maintenance history data.

[0092] Further, including but not limited to: A reminder suggestion generating module, which retrieves corresponding tire maintenance history data and real-time tire data, and generates corresponding reminder suggestions based on the tire maintenance history data and the real-time tire data, wherein the reminder suggestions include a plurality of suggestion options; The feedback data acquisition module sends the reminder suggestion to the user and is used to obtain the user's corresponding feedback data, wherein the feedback data is a plurality of suggestion options determined by the user in the reminder suggestion; The collection strategy generation module is used to generate a corresponding collection strategy based on the feedback data, and adjust the tire data collection cycle based on the collection strategy.

[0093] Further, including but not limited to: A working condition data acquisition module is used to acquire the current working condition data of the tire, wherein the working condition data includes vehicle speed, load, road condition, and seasonal environment; A judgment module retrieves the corresponding remaining expected service life and determines whether the tire threshold needs to be adjusted based on the working condition data and the remaining expected service life; The tire threshold adjustment module, if yes, is used to adjust the tire threshold, wherein the tire threshold includes tire pressure, temperature, and wear.

[0094] Further, including but not limited to: A change trend graph generation module retrieves real-time tire data collected in the past and uses the real-time tire data to generate a corresponding change trend graph based on a time series; A problem parameter determination module compares the tire maintenance history data with the change trend graph corresponding to the real-time tire data, and determines the problem parameters with potential problems based on the comparison results; The tire status report generation module combines the tire warning results and problem parameters to generate a corresponding tire status report.

[0095] Further, including but not limited to: An index data acquisition module creates a virtual environment, scans the tire based on the camera of the mobile device to obtain the corresponding index data, and displays various indexes of the tire in real time in the virtual environment based on the index data; A labeling module, which determines corresponding key parameters based on the indicator data and is used to label the key parameters on the tire image in the virtual environment; The detailed maintenance steps generation module combines real-time tire data and key parameters to generate detailed maintenance steps.

[0096] An embodiment of the present application further discloses a tire life cycle monitoring method, including a processor, wherein a program of any one of the above tire life cycle monitoring methods is running on the processor.

[0097] The embodiment of the present application further discloses a storage medium storing a program of any one of the tire life cycle monitoring methods described above.

[0098] Although the embodiments of the present application have been shown and described above, it can be understood that the above embodiments are exemplary and cannot be understood as limitations on the present application. Ordinary technicians in this field can change, modify, replace and modify the above embodiments within the scope of the present application.

Claims

1. A tire life cycle monitoring method, characterized in that: include: Based on an RFID tag containing a unique identification code installed on the tire, the RFID tag on the tire is read by an RFID reader to obtain real-time tire data corresponding to the tire, and the real-time tire data is uploaded to a central database, and the real-time tire data is compared with a preset tire threshold value; If the real-time tire data exceeds the tire threshold, a corresponding alarm mechanism is triggered, the tire is repaired, and the corresponding tire maintenance history data is retrieved, and the remaining expected service life of the tire is predicted based on the tire maintenance history data. When the remaining expected service life of the tire reaches the end, the tire is tracked to a recycling site through an RFID tag; Retrieve a pre-trained recognition model, input the real-time tire data into the recognition model, obtain a corresponding tire warning result, generate a corresponding tire status report based on the tire warning result and the last collected tire maintenance history data, connect the tire management system to the vehicle monitoring platform, and push the tire status report to the user based on the mobile application.

2. The tire life cycle monitoring method according to claim 1, characterized in that: In the process of predicting the remaining expected service life of the tire based on the tire maintenance history data, the method further includes: Determine the corresponding target vehicle based on the tire of the collected data; Retrieving periodic driving history data corresponding to the target vehicle; The corresponding remaining expected service life is determined based on the periodic driving history data and the tire maintenance history data.

3. The tire life cycle monitoring method according to claim 2, characterized in that: The method also includes: Retrieving corresponding tire maintenance history data and real-time tire data, and generating corresponding reminder suggestions based on the tire maintenance history data and the real-time tire data, wherein the reminder suggestions include a plurality of suggestion options; Sending the reminder suggestion to the user and obtaining corresponding feedback data from the user, wherein the feedback data is a plurality of suggestion options determined by the user in the reminder suggestion; A corresponding collection strategy is generated based on the feedback data, and a cycle of tire data collection is adjusted based on the collection strategy.

4. The tire life cycle monitoring method according to claim 2, characterized in that: The method also includes: Obtaining the current working condition data of the tire, wherein the working condition data includes vehicle speed, load, road condition, and seasonal environment; Retrieving the corresponding remaining expected service life, and determining whether a tire threshold needs to be adjusted based on the working condition data and the remaining expected service life; If so, the tire threshold is adjusted, wherein the tire threshold includes tire pressure, temperature, and wear.

5. The tire life cycle monitoring method according to claim 1, characterized in that: In the process of generating a corresponding tire status report based on the tire warning result and the tire maintenance history data collected last time, the method further includes: Retrieving real-time tire data collected in the past, and generating a corresponding change trend graph of the real-time tire data based on a time series; Comparing the tire maintenance history data with the change trend graph corresponding to the real-time tire data, and determining problem parameters with potential problems based on the comparison result; A corresponding tire status report is generated by combining the tire warning result and the problem parameter.

6. The tire life cycle monitoring method according to claim 1, characterized in that: The method also includes: Create a virtual environment, scan the tires with the mobile device camera to obtain the corresponding index data, and display the various indicators of the tires in real time in the virtual environment based on the index data; Determine corresponding key parameters based on the indicator data, and mark the key parameters on the tire image in the virtual environment; The real-time tire data and the key parameters are combined to generate detailed maintenance steps.

7. A tire life cycle monitoring device, characterized in that: include: A real-time tire data acquisition module, based on an RFID tag containing a unique identification code installed on the tire, reads the RFID tag on the tire based on an RFID reader, is used to acquire real-time tire data corresponding to the tire, upload the real-time tire data to a central database, and compare the real-time tire data with a preset tire threshold; A remaining expected service life prediction module, which triggers a corresponding alarm mechanism if the real-time tire data exceeds the tire threshold, repairs the tire, retrieves the corresponding tire maintenance history data, and uses the tire maintenance history data to predict the remaining expected service life of the tire. When the tire reaches the remaining expected service life, the tire is tracked to a recycling site through an RFID tag; The tire status report generation module calls a pre-trained recognition model, inputs the real-time tire data into the recognition model, obtains a corresponding tire warning result, generates a corresponding tire status report based on the tire warning result and the tire maintenance history data collected last time, connects the tire management system to the vehicle monitoring platform, and pushes the tire status report to the user based on the mobile application.

8. A tire life cycle monitoring method, characterized in that: The method comprises a processor, wherein a program of the tire life cycle monitoring method according to any one of claims 1 to 6 is run in the processor.

9. A storage medium, characterized in that: A program for the tire life cycle monitoring method according to any one of claims 1 to 6 is stored.

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