A tire life cycle monitoring method

Abstract

The application 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 label on a tire, acquiring real-time tire data of the tire, comparing the real-time tire data with a pre-set tire threshold value; if the real-time tire data exceeds the tire threshold value, triggering a corresponding alarm mechanism, repairing the tire, calling tire maintenance historical data, predicting a remaining expected service life of the tire based on the tire maintenance historical data, tracking the tire to a recycling station when the tire reaches the remaining expected service life, calling a pre-trained identification model, inputting the real-time tire data into the identification model, acquiring 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. The application can realize intelligent and efficient management of the tire.

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

[0002] With the development of the logistics industry, vehicle tires, as an important part of vehicles, directly affect the running efficiency and safety of vehicles. The traditional manual management method has been unable to meet the large-scale and high-frequency tire maintenance needs of modern vehicle 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 deficiencies in actual application, such as limited reading distance, conflict when reading multiple tags, lack of effective tire life cycle management means, etc.

[0004] From the above, the problem of how to improve the efficiency of tire management still needs to be solved. SUMMARY

[0005] In order to realize 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:

[0007] A tire life cycle monitoring method, comprising: based on the RFID tag containing a unique identification code installed on the tire, based on the RFID reader reading the RFID tag on the tire, obtaining the real-time tire data corresponding to the tire, and uploading the real-time tire data to the central database, comparing the real-time tire data with the pre-set tire threshold; if the real-time tire data exceeds the tire threshold, triggering the corresponding alarm mechanism, repairing the tire, and calling the corresponding tire maintenance history data, and predicting the remaining expected service life of the tire based on the tire maintenance history data, when the tire reaches the remaining expected service life, tracking the tire to the recycling site through the RFID tag; calling the pre-trained identification model, inputting the real-time tire data into the identification model, obtaining the corresponding tire warning result, generating the corresponding tire state report based on the tire warning result and the last collected tire maintenance history data, networking the tire management system with the vehicle monitoring platform, and pushing the tire state report to the user based on the mobile application.

[0008] By adopting the technical scheme, the tire state is monitored in real time through the RFID tag, and data is uploaded to a central database, ensuring real-time and accuracy of the data; the real-time data is compared with a preset threshold, and once the threshold is exceeded, an alarm mechanism is triggered immediately, and maintenance is handled in a timely manner; the maintenance history data of the tire is called, and the remaining service life of the tire is predicted using the historical data, and preparation for replacement is made in advance; the real-time data is analyzed using a pre-trained identification model, a tire warning result is generated, and the accuracy and timeliness of the warning are improved; a comprehensive tire state report is generated in combination with the tire warning result and the historical maintenance data, and is pushed to the user in real time through a mobile application, so that the user can understand the tire condition at any time and take corresponding measures.

[0009] Optionally, in the process of predicting the remaining expected service life of the tire based on the tire maintenance history data, the method further comprises: determining a corresponding target vehicle based on the collected data of the tire; calling 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.

[0010] By adopting the technical scheme, in the process of predicting the remaining expected service life of the tire, the corresponding target vehicle is determined based on the collected data, and the remaining expected service life of the tire is determined based on the maintenance history data of the tire, which can more accurately evaluate the use condition of the tire and improve the prediction accuracy and reliability.

[0011] Optionally, the method further comprises: calling 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 to obtain corresponding feedback data of the user, wherein the feedback data is the multiple suggestion options determined by the user in the reminder suggestions; generating a corresponding collection strategy based on the feedback data, and adjusting the collection period of the tire data based on the collection strategy.

[0012] By adopting the technical scheme, the corresponding collection strategy is generated according to the feedback data of the user, and the collection period of the tire data is adjusted accordingly, so that more personalized and accurate data collection management is realized, which can improve the pertinence and efficiency of tire management and ensure that data collection is more in line with actual use requirements.

[0013] Optionally, the method further comprises: obtaining current working condition data of the tire, wherein the working condition data includes vehicle speed, load, road condition, seasonal environment; calling 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.

[0014] By adopting the technical scheme, the current working condition data of the tire (such as vehicle speed, load, road condition, seasonal environment) is acquired, and the remaining expected service life of the tire is combined to determine whether the tire threshold (such as tire pressure, temperature, wear) needs to be adjusted; if so, the corresponding adjustment is performed, so as to ensure that the tire is always in the best state under different working conditions, improve the accuracy and reliability of tire management, and make the tire management more intelligent and adaptive.

[0015] Optionally, in the process of generating the corresponding tire state report based on the tire warning result and the tire maintenance history data collected last time, the method further comprises: calling the real-time tire data collected in the past, and generating the corresponding change trend graph based on the time sequence; comparing the tire maintenance history data with the change trend graph corresponding to the real-time tire data, determining the problem parameter existing potential problems based on the comparison result; and generating the corresponding tire state report in combination with the tire warning result and the problem parameter.

[0016] By adopting the technical scheme, the real-time tire data collected in the past is called, and the change trend graph is generated based on the time sequence; the tire maintenance history data is compared with the change trend graphs to determine the problem parameter existing potential problems; and then the tire state report is generated in combination with the tire warning result and the problem parameter; the trend analysis of the historical data can more accurately identify potential problems, thereby improving the accuracy and practicality of the tire state report.

[0017] Optionally, the method further comprises: creating a virtual environment, acquiring corresponding index data based on the tire scanning by the camera of the mobile device, and displaying each index of the tire in real time in the virtual environment based on the index data; determining the key parameter corresponding to the index data, and marking the key parameter on the tire image in the virtual environment; and generating the detailed maintenance steps in combination with the real-time tire data and the key parameter.

[0018] By adopting the technical scheme, the index data is acquired by scanning the tire by the camera of the mobile device, and each index of the tire is displayed in real time in the virtual environment; the key parameter is determined based on the index data, and is marked on the tire image in the virtual environment; and the detailed maintenance steps are generated in combination with the real-time tire data and the key parameter. In this way, the tire state can be intuitively displayed by the augmented reality technology, and accurate maintenance guidance is provided, thereby improving the maintenance efficiency and accuracy.

[0019] In a second aspect, the application provides a tire life cycle monitoring device, which adopts the following technical scheme:

[0020] A tire life cycle monitoring device comprises:

[0021] a real-time tire data acquisition module, based on an RFID tag installed on the tire and containing a unique identification code, based on an RFID reader reading the RFID tag on the tire, for acquiring real-time tire data corresponding to the tire, and uploading the real-time tire data to a central database, and comparing the real-time tire data with a pre-set tire threshold value;

[0022] a remaining expected service life prediction module, if the real-time tire data exceeds the tire threshold value, triggering a corresponding alarm mechanism, repairing the tire, and calling corresponding tire maintenance history data, and based on the tire maintenance history data for predicting the remaining expected service life of the tire, and when the tire reaches the remaining expected service life, tracking the tire to a recycling site through the RFID tag;

[0023] a tire status report generation module, calling a pre-trained identification model, inputting the real-time tire data into the identification model, acquiring a corresponding tire warning result, and based on the tire warning result and the last collected tire maintenance history data for generating a corresponding tire status report, networking the tire management system with a vehicle monitoring platform, and based on a mobile application pushing the tire status report to a user.

[0024] In a third aspect, the application provides a tire life cycle monitoring method, which adopts the following technical solution:

[0025] A tire life cycle monitoring method, comprising a processor, wherein the processor runs a program of the tire life cycle monitoring method according to any one of the above.

[0026] In a fourth aspect, the application provides a storage medium, which adopts the following technical solution:

[0027] A storage medium storing a program of the tire life cycle monitoring method according to any one of the above.

[0028] In summary, the application includes at least one of the following beneficial technical effects:

[0029] The tire status is monitored in real time through the RFID tag, and the data is uploaded to the central database to ensure the real-time and accuracy of the data; the data is compared with the pre-set threshold value, and once the threshold value is exceeded, the alarm mechanism is triggered immediately, and the repair is handled in time; the tire maintenance history data is called, the periodic driving history data of the target vehicle is combined, and the remaining service life of the tire is predicted; the tire threshold value is adjusted according to the current working condition data to ensure that the tire is always in the best state under different working conditions.

[0030] 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 tire data change trend charts through time series analysis and compare them with historical maintenance data to identify potential problem parameters and generate more accurate tire status reports; scan tires through mobile device cameras and display various indicators in real time in a virtual environment, identify key parameters and generate detailed maintenance steps to improve maintenance efficiency and accuracy. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] Figure 1 The figure is a flowchart showing a tire life cycle monitoring method according to an exemplary embodiment.

[0032] Figure 2 is a structural block diagram of a tire life cycle monitoring device according to an exemplary embodiment. DETAILED DESCRIPTION

[0033] Embodiments of the present application are described in detail below, examples of which are illustrated in the accompanying drawings.

[0034] Throughout this specification, reference to the terms "certain embodiments," "one embodiment," "some embodiments," "illustrative embodiments," "examples," "specific examples," or "some examples" means that a specific feature, structure, material, or characteristic described in conjunction with the embodiment or example is 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. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.

[0035] The present application embodiment discloses a tire life cycle monitoring method, referring to Figure 1 ,include:

[0036] S100, based on the 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 pre-set tire threshold.

[0037] 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, the RFID tag information on the tires can be read using an RFID reader. The RFID reader communicates with the RFID tags through wireless signals and reads the data in the tags.

[0038] 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, wear degree, etc. These data are read by the RFID reader and uploaded to the central database, so that real-time monitoring can be realized to ensure that the status of the tire during use is recorded and monitored in a timely manner.

[0039] In addition, various thresholds of the tire are set in the system in advance, such as the maximum and minimum values of the tire pressure, the maximum value of the temperature, etc. These thresholds are usually set according to the standards of the tire manufacturer or industry specifications. The real-time tire data collected in real time are compared with the preset tire thresholds. The system will check whether the real-time data meet the threshold requirements. If the real-time data exceed the threshold, it indicates that the tire may have an abnormal condition.

[0040] S110, if the real-time tire data exceed the tire threshold, the corresponding alarm mechanism is triggered, the tire is repaired, the corresponding tire maintenance history data are called, and 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 by the RFID tag.

[0041] When the real-time tire data exceed the threshold, the system triggers the alarm mechanism, and the alarm information is usually notified to the relevant personnel through the system message, SMS or mobile application, etc. At this time, the tire needs to be repaired to repair the abnormal state, which usually includes dispatching technical personnel for on-site inspection and repair.

[0042] By calling the maintenance history data of the tire, the previous repair records can be easily understood, which can help the repair personnel better understand the condition of the tire. In addition, the remaining expected service life of the tire can be predicted based on the historical maintenance data, so that the replacement plan can be more reasonably arranged.

[0043] When the tire reaches its remaining expected service life, the system makes a judgment, and then tracks the tire to the designated recycling site through the RFID tag. The RFID tag can record the location information of the tire to ensure that the tire is correctly sent to the recycling site, and the system records the recycling process of the tire to ensure the integrity and traceability of the data, so that the waste tire can be effectively recycled, the environmental pollution can be reduced, and the closed-loop management of the tire from use to recycling can be realized, and the resource utilization efficiency can be improved.

[0044] S120, the pre-trained identification model is called, the real-time tire data are input into the identification model, the corresponding tire warning result is obtained, the corresponding tire status report is generated based on the tire warning result and the last collected tire maintenance history data, the tire management system is connected with the vehicle monitoring platform, and the tire status report is pushed to the user based on the mobile application.

[0045] Among them, a pre-trained identification model is called, and the identification model is trained based on a large amount of historical data and machine learning technology; real-time tire data is input into the identification model, the identification model analyzes and processes the input data, and according to the identification model output, the tire warning result of the tire is obtained, which may include whether the tire needs further inspection, whether there is a potential fault, etc.; so as to improve the accuracy and timeliness of the warning.

[0046] It should be pointed out here that the training process of the identification model includes: first, a large amount of tire running data and maintenance records need to be collected, the data needs to be cleaned, standardized and feature extracted, then a suitable machine learning or deep learning model is selected, and the model is trained through the training set, and the hyperparameters are adjusted to optimize the model performance. Then, use the validation set to evaluate the generalization ability of the model, and finally test on the test set to ensure the effectiveness of the model, and finally deploy the trained model to the tire management system to realize real-time data warning analysis. Through this series of steps, the identification model can learn the change rule of the tire state based on historical data, so as to accurately warn and analyze the real-time data of the tire in actual application, and improve the intelligence and reliability of tire management.

[0047] In addition, the tire warning result is integrated with the last collected tire maintenance history data, which includes the current warning result and historical maintenance record; based on the integrated data, a tire state report is generated. The report contains the current state of the tire, historical maintenance records, potential problems and recommended measures, and the report usually lists various indicators of the tire, such as tire pressure, temperature, wear degree, etc., and is accompanied by detailed analysis and recommendations.

[0048] Finally, the tire management system is connected with the vehicle monitoring platform to realize data sharing, and the tire data can be processed with other vehicle monitoring data, and the tire state report is pushed to the user through the mobile application, and the user can receive and view the tire state report through the mobile application, so as to facilitate the user to view and manage the tire state.

[0049] Based on the steps of executing S100 to S120, real-time monitoring, warning, maintenance, life management and information pushing of the tire state are realized, ensuring the safety and efficient use of the tire in the whole life cycle.

[0050] It should be pointed out here that in the scheme in the embodiments 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 prediction of the remaining expected service life, the method further comprises:

[0051] S111, determining the corresponding target vehicle based on the collected tire data.

[0052] Among them, the system first extracts the unique identification code of the tire from the real-time tire data read by the RFID tag, and through the unique identification code of the tire, the system looks up the target vehicle information to which the tire belongs in the database, confirms the association relationship between the tire and the target vehicle, and ensures the accuracy of the data.

[0053] S112, call the corresponding periodic driving history data of the target vehicle.

[0054] Among them, the system calls the periodic driving history data of the vehicle from the central database according to the information of the target vehicle, and filters out important driving data related to tire use, such as driving mileage, speed, load, road conditions, etc., and integrates these driving history data together for further analysis.

[0055] S113, determine the corresponding remaining expected service life based on the periodic driving history data and the tire maintenance history data.

[0056] Among them, the periodic driving history data of the target vehicle and the maintenance history data of the tire are fused to form a comprehensive data set, and by analyzing the comprehensive data set, the wear and use of the tire under different driving conditions can be identified, so that the remaining expected service life of the tire can be more accurately judged; By fusing the periodic driving history data and the tire maintenance history data, the use of the tire can be more accurately evaluated.

[0057] By performing the steps of S111 to S113, the use of the tire can be comprehensively analyzed based on the maintenance history data of the tire and the periodic driving history data of the target vehicle, and the 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 the tire in time and take corresponding maintenance measures.

[0058] For the scheme of the present application, the data of the tire needs to be collected, and the period of collecting the tire data needs to be adjusted in time at different use stages and in different use environments. The method further comprises:

[0059] S114, call the 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.

[0060] Among them, the maintenance history data of the tire is called 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, wear degree, etc.; the called maintenance history data and real-time tire data are integrated to form a comprehensive data set.

[0061] The integrated tire maintenance history data and real-time tire data are analyzed to identify the current state and potential problems of the tire, and a reminder suggestion is generated according to the analysis result, the reminder suggestion including multiple suggestion options. For example, suggesting immediate inspection, suggesting regular inspection, suggesting replacing the tire, etc. The content of the suggestion options needs to ensure that the reminder suggestion is specific and clear, so that the user knows how to handle the current tire condition. By analyzing the historical and real-time data, specific maintenance suggestions are provided to help users better manage the tire, and by providing multiple suggestion options, users can choose the most appropriate measures according to the actual situation.

[0062] S115, sending the reminder suggestion to the user and obtaining the corresponding feedback data of the user.

[0063] Among them, the reminder suggestion is sent to the user through a mobile application or other channels, the user receives the reminder suggestion through the mobile application and views the specific content, the user selects the corresponding suggestion option according to the reminder suggestion, and sends the selected suggestion option back to the system as feedback data. Let the user participate in the tire management process, improve the user's participation, and ensure that the user's actual operation is recorded.

[0064] In addition, according to the user feedback data, a new tire data collection strategy is generated, for example, if the user selects "regular inspection", the data collection period can be appropriately extended; if "immediate inspection" is selected, the data collection period can be shortened, and then the generated new collection strategy is applied to the system to adjust the tire data collection period and restart the data collection process according to the new collection period.

[0065] S116, generating a corresponding collection strategy based on the feedback data, and adjusting the tire data collection period based on the collection strategy.

[0066] By executing the above steps S114 to S116, the system can generate a reminder suggestion according to the tire maintenance history data and real-time tire data, and adjust the tire data collection period according to the user feedback data, which not only improves the intelligent level of tire management, but also enhances the user's sense of participation, ensuring that tire management is more efficient and personalized.

[0067] In addition, for the scheme of the present application, the tire threshold value is an important basis for judgment, which directly affects the accuracy of the overall scheme, and in different environments, appropriate threshold parameters need to be switched for judgment to make the present scheme adapt to various application scenarios, so the method further comprises:

[0068] S117, obtaining the current working condition data of the tire.

[0069] Among them, through the vehicle-mounted sensor (such as GPS, accelerometer, pressure sensor, etc.) to obtain the speed, load, road conditions and seasonal environment and other information of the current vehicle, integrate these working condition data into the system, ensure the integrity and accuracy of the data; can ensure that the system can obtain the working condition data of the tire in real time.

[0070] S118, call the corresponding remaining expected service life, judge whether the tire threshold needs to be adjusted based on the working condition data and the remaining expected service life.

[0071] Among them, the maintenance history data of the tire is called, and the remaining expected service life of the tire is predicted based on these data, and the predicted remaining expected service life is recorded for subsequent judgment whether the tire threshold needs to be adjusted.

[0072] The current working condition data (such as vehicle speed, load, road conditions, seasonal environment, etc.) and the remaining expected service life of the tire are compared, and whether the tire threshold needs to be adjusted is judged according to the comparison result, for example, if the current working condition is poor (such as high speed, heavy load, poor road, etc.), and the remaining service life of the tire is short, the threshold may need to be adjusted.

[0073] If the judgment result shows that the tire threshold needs to be adjusted, the next step is entered. 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 the management efficiency.

[0074] S119, if yes, adjust the tire threshold.

[0075] Among them, if the judgment result shows that the tire threshold needs to be adjusted, the specific threshold parameters such as tire pressure, temperature, wear are adjusted according to the current working condition, the adjusted threshold parameters are set to the system to ensure that the new threshold takes effect, and the adjusted threshold parameters are recorded.

[0076] Through the above steps S117 to S119, the system can judge whether the tire threshold (such as tire pressure, temperature, wear) needs to be adjusted according to the current working condition data (such as vehicle speed, load, road conditions, seasonal environment, etc.) of the tire and the remaining expected service life of the tire. This process ensures the safety and best performance of the tire under different working conditions, and improves the intelligence and reliability of tire management.

[0077] It should be pointed out here that in the process of generating the corresponding tire state report based on the tire warning result and the last collected tire maintenance history data, the method further comprises:

[0078] S121, retrieve the past collected real-time tire data and generate the corresponding change trend graph based on the time series.

[0079] Among them, the past collected real-time tire data is retrieved from the central database, including but not limited to tire pressure, temperature, wear degree, etc. These real-time data are arranged in chronological order to ensure the time series property of the data; the time series data is converted into a change trend graph using data visualization tools (such as chart software or drawing library in programming language), which intuitively shows the change of each parameter of the tire with time through the trend graph, facilitating the analysis of the state change of the tire.

[0080] S122, compare the change trend graph of the real-time tire data with the maintenance history data of the tire, and determine the problem parameters with potential problems based on the comparison result.

[0081] Among them, the maintenance history data of the tire is retrieved from the central database, including maintenance time, maintenance content, replacement record, etc. The maintenance history data is compared and analyzed with the change trend graph of the real-time tire data to find the correlation between them. Through comparison and analysis, the parameters with potential problems are identified, i.e. those parameters showing abnormal changes in the trend graph.

[0082] By comparing the maintenance history data with the change trend graph of the real-time data, the potential problems of the tire can be more accurately identified, which can help users or maintenance personnel quickly locate the problem parameters so as to take corresponding measures.

[0083] According to the comparison result of the trend graph and the maintenance history data, it is determined which parameters show potential problems. For example, if the tire pressure shows abnormal fluctuations in a certain period of time, and the tire maintenance is performed in this period of time, it can be considered that the tire pressure is a potential problem parameter, and these potential problem parameters are recorded for generating the tire status report. By comparing and analyzing the problem parameters, it is ensured that the key information is included in the tire status report.

[0084] S123, generate the corresponding tire status report by combining the tire warning result and the problem parameters.

[0085] Among them, the tire warning result and the previously determined problem parameters are integrated to generate the tire status report based on the integrated data. The report should include the current status of the tire, the historical maintenance record, the potential problem parameters and the corresponding recommended measures. It should be pointed out that the report should clearly show the status of the tire, the historical maintenance situation, the potential problems and the recommended measures to ensure that the user can quickly understand the current condition of the tire.

[0086] By executing the above S121 to S123 steps, the system can determine the problem parameters based on the tire warning result and the last collected tire maintenance history data, retrieve the past collected real-time tire data, and generate a change trend chart, and then compare the change trend chart of the historical data and the real-time data to determine the potential problem parameters, and finally generate a tire status report combining the tire warning result and the problem parameters; this process ensures the intelligence and efficiency of tire management, helping users to understand the current status of the tire and take appropriate maintenance measures in a timely manner.

[0087] Finally, in order to facilitate the user to understand the tire situation, the method further comprises:

[0088] S124, creating a virtual environment, based on the mobile device camera scanning the tire to obtain corresponding index data, and based on the index data, displaying the various indexes of the tire in the virtual environment in real time.

[0089] Among them, using augmented reality (AR) technology or other similar technology to create a virtual environment that can run on the user's mobile device (such as a smartphone or tablet); when the user aims the camera of the mobile device at the tire, the application will capture the image of the tire and begin analyzing the condition of the tire.

[0090] Through image processing algorithms, the key index data of the tire such as tread depth, tire pressure, and tire wear condition are extracted from the image captured by the camera, and in the virtual environment, the state of the tire model is updated in real time according to the extracted index data, so that the user can directly see the specific values of each index of the tire.

[0091] The user can immediately see the current status of the tire and obtain important information without the need for professional tools, and the user experience can be enhanced, making the tire inspection process more intuitive and interactive.

[0092] S124, determining corresponding key parameters based on the index data and marking the key parameters on the tire image in the virtual environment.

[0093] Among them, according to the extracted index data, it can be judged which indexes are out of the normal range or need special attention, and these indexes that exceed the normal value are the key parameters, and in the tire image in the virtual environment, these key parameters are marked through highlighting, arrows or other visual prompt methods, so that the user can immediately see which places have problems. By presenting the problem in an intuitive way, even non-professionals can easily understand, allowing users to quickly pay attention to the places on the tire that need attention.

[0094] S125, generating detailed maintenance steps combining real-time tire data and key parameters.

[0095] Among them, the real-time tire data is combined with the identified key parameters to form a comprehensive data set. Based on these data, the system generates a detailed maintenance step guide, including how to solve the problems found, the specific information of tools and materials needed, etc. The maintenance steps can be presented in the form of text, images, or even videos in a virtual environment for user reference.

[0096] Through the above three steps, the system not only uses the camera of the mobile device to scan and obtain the actual state of the tire, but also displays these data in real time in a virtual environment and gives targeted maintenance recommendations based on the data. This way not only improves the efficiency of tire inspection, but also increases the interactivity and intuitiveness of user experience.

[0097] In summary, the scheme of the present application realizes real-time monitoring, early warning, maintenance, life management and information pushing of tire state, ensures the safety and efficient use of tire in the whole life cycle, and specifically includes the following effects:

[0098] 1. Real-time monitoring of tire state can ensure that the state of the tire during use is recorded and monitored in time; by comparing the real-time tire data with the preset threshold value, abnormal conditions can be found in time and the alarm mechanism is triggered.

[0099] 2. When the tire data exceeds the threshold value, the system triggers the alarm mechanism to notify the relevant personnel for maintenance in time; based on the historical data of tire maintenance, the remaining expected service life of the tire is predicted, and when the service life is reached, the tire is tracked to the recycling site through the RFID tag, which can realize the closed-loop management of the tire.

[0100] 3. The real-time tire data is analyzed by using the pre-trained identification model to generate tire warning results, which can improve the accuracy and timeliness of the warning; the tire state report can also be generated by combining the tire warning results with the historical maintenance data, and the report can be pushed to the user through the mobile application to help the user better manage the tire.

[0101] 4. Based on the historical data of tire maintenance and the periodic driving history data of the target vehicle, the use condition of the tire is comprehensively analyzed to predict the remaining expected service life of the tire, which can improve the prediction accuracy; and by adjusting the period of tire data collection, the data collection can be more in line with the actual use demand, which can improve the pertinence and efficiency of tire management.

[0102] 5. According to the current working condition data of the tire (such as vehicle speed, load, road condition, seasonal environment, etc.), the threshold value of the tire is adjusted to ensure the safety of the tire under different working conditions; by dynamically adjusting the threshold value, the adaptability and reliability of tire management can be improved.

[0103] 6、By generating a trend chart of tire data and comparing it with maintenance history data, potential problem parameters can be identified, thereby improving the accuracy of problem identification; a tire status report is generated in combination with the early warning results and problem parameters to provide more accurate tire status evaluation and maintenance recommendations.

[0104] 7、By scanning the tire through the camera of the mobile device and displaying various indicators in real time in a virtual environment, the interactivity and intuitiveness of user experience can be improved; and key parameters are labeled and detailed repair steps are generated in the virtual environment to provide clear repair guidance and help users or technicians correctly solve problems.

[0105] The embodiments of the present application disclose a tire life cycle monitoring device, referring to Figure 2 , including but not limited to:

[0106] The real-time tire data acquisition module 200 acquires real-time tire data corresponding to the tire based on the RFID tag with a unique identification code installed on the tire, reads the RFID tag on the tire based on the RFID reader, uploads the real-time tire data to the central database, and compares the real-time tire data with the pre-set tire threshold value;

[0107] The remaining expected service life prediction module 210 triggers the corresponding alarm mechanism if the real-time tire data exceeds the tire threshold value, performs maintenance on the tire, retrieves the corresponding tire maintenance history data, and predicts the remaining expected service life of the tire 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;

[0108] The tire status report generation module 220 retrieves the pre-trained identification model, inputs the real-time tire data into the identification model, acquires the corresponding tire early warning result, generates the corresponding tire status report based on the tire early warning result and the last collected tire maintenance history data, connects the tire management system with the vehicle monitoring platform, and pushes the tire status report to the user based on the mobile application.

[0109] Further, including but not limited to:

[0110] The target vehicle determination module determines the corresponding target vehicle based on the collected tire data;

[0111] The periodic driving history data retrieval module is used to retrieve the periodic driving history data corresponding to the target vehicle;

[0112] The remaining expected service life determination module determines the corresponding remaining expected service life based on the periodic driving history data and the tire maintenance history data.

[0113] Further, including but not limited to:

[0114] 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 multiple suggestion options;

[0115] 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;

[0116] 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.

[0117] Further, including but not limited to:

[0118] A working condition data acquisition module is used to obtain the current working condition data of the tire, wherein the working condition data includes vehicle speed, load, road conditions, and seasonal environment;

[0119] 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;

[0120] The tire threshold adjustment module is used to adjust the tire threshold, where the tire threshold includes tire pressure, temperature, and wear.

[0121] Further, including but not limited to:

[0122] A change trend graph generation module retrieves previously collected real-time tire data and uses the real-time tire data to generate a corresponding change trend graph based on a time series;

[0123] 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;

[0124] The tire status report generation module combines the tire warning results and problem parameters to generate the corresponding tire status report.

[0125] Further, including but not limited to:

[0126] The indicator data acquisition module creates a virtual environment, scans the tire using the mobile device camera to obtain the corresponding indicator data, and displays the various indicators of the tire in real time in the virtual environment based on the indicator data;

[0127] A labeling module 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;

[0128] A detailed repair step generation module combines real-time tire data with key parameters to generate detailed repair steps.

[0129] Embodiments of the present application also disclose a tire life cycle monitoring method, comprising a processor, wherein a program of any one of the tire life cycle monitoring methods described above is run in the processor.

[0130] Embodiments of the present application also disclose a storage medium, which stores a program of any one of the tire life cycle monitoring methods described above.

[0131] Although the embodiments of the present application have been shown and described above, it should be understood by those skilled in the art that the above embodiments are exemplary and cannot be understood as limiting the present application, and those skilled in the art can make changes, modifications, replacements and variations to 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, an RFID reader reads the RFID tag on the tire to obtain 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 pre-set tire thresholds. In different environments, appropriate threshold parameters need to be switched for judgment to obtain current tire operating condition data, including vehicle speed, load, road conditions, and seasonal environment. The corresponding remaining expected service life is retrieved, and based on the operating condition data and the remaining expected service life, it is determined whether the tire threshold needs to be adjusted; if so, the tire threshold is adjusted, wherein the tire threshold includes tire pressure, temperature, and wear. If the real-time tire data exceeds the tire threshold, a corresponding alarm mechanism is triggered, the tire is repaired, and 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 a recycling site via an RFID tag. In the process of predicting the remaining expected service life of the tire based on the tire maintenance history data, the method further includes: determining a corresponding target vehicle based on the tire of the collected data; retrieving 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. A pre-trained recognition model is retrieved, the real-time tire data is input into the recognition model, a corresponding tire warning result is obtained, a corresponding tire status report is generated based on the tire warning result and the last collected tire maintenance history data, the tire management system is connected to the vehicle monitoring platform, and the tire status report is pushed to the user based on the mobile application.

2. The tire life cycle monitoring method according to claim 1, 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.

3. 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 last collected tire maintenance history data, the method further 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 a 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.

4. The tire life cycle monitoring method according to claim 1, characterized in that: The method also includes: Create a virtual environment, scan the tire using the mobile device camera to obtain the corresponding indicator data, and display the tire's various indicators in real time in the virtual environment based on the indicator data; Determining corresponding key parameters based on the indicator data, and marking the key parameters on a tire image in a virtual environment; Detailed maintenance steps are generated by combining the real-time tire data with the key parameters.

5. A tire life cycle monitoring device for executing the tire life cycle monitoring method according to any one of claims 1 to 4, 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 obtain 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 pre-set 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, causes the tire to be repaired, retrieves 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 via an RFID tag; The tire status report generation module retrieves 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 last collected tire maintenance history data, connects the tire management system to the vehicle monitoring platform, and pushes the tire status report to the user based on the mobile application.

6. A tire life cycle monitoring method, characterized in that: The system comprises a processor, wherein a program of the tire life cycle monitoring method according to any one of claims 1 to 4 is run on the processor.

7. A storage medium, characterized in that: A program for the tire life cycle monitoring method according to any one of claims 1 to 4 is stored.

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