Tracking service method and system for electronic products

Abstract

The present invention discloses a tracking service method and system for electronic products, which comprises obtaining a tracking identifier; obtaining product information, obtaining a product signal database, and constructing a signal standard database; inputting the product signal database and the signal standard database into an evaluation model to obtain an output result, wherein a first evaluation result is used to represent the result of a matching evaluation between the product information in the product signal database and the signal standard in the signal standard database; determining whether the first evaluation result satisfies a first predetermined condition; and sending a first reminder message when the first evaluation result satisfies the first predetermined condition. The first reminder message is used to send a reminder message to the product and the smart terminal. This solves the technical problem in the prior art of lacking a real-time tracking service for products, resulting in the inability to monitor and analyze working status in real time, and the inability to provide timely and accurate product warnings and processing.

Description

Technical Field

[0001] The present invention relates to data identification and data representation related fields, and in particular to a tracking service method and system for electronic products. Background Art

[0002] With technological advancements, electronic products are constantly being updated and iterated, becoming increasingly convenient to use. However, due to fierce market competition, product quality varies greatly. To ensure product quality and improve competitiveness, timely product problem identification and feedback are particularly important. Timely and accurate feedback can identify problems early, providing customers with timely solutions, detecting product defects as early as possible, and improving user experience.

[0003] However, in the process of implementing the technical solutions of the embodiments of the present application, the inventors of the present application discovered that the above technology has at least the following technical problems:

[0004] The existing technology lacks real-time tracking services for products, resulting in the inability to monitor and analyze working status in real time, and there is a technical problem that product warnings and processing cannot be carried out in a timely and accurate manner. Summary of the Invention

[0005] The embodiments of the present application provide a tracking service method and system for electronic products, which solves the technical problems in the prior art of lacking real-time tracking services for products, resulting in the inability to monitor and analyze working status in real time, and the inability to promptly and accurately provide product warnings and processing. The system achieves real-time information tracking and analysis of products, monitors working status, and can accurately provide product supervision, warnings, and processing in real time, avoiding the expansion of abnormalities and improving the user experience.

[0006] In view of the above problems, the embodiments of the present application provide a tracking service method and system for electronic products.

[0007] In a first aspect, the present application provides a tracking service method for electronic products, wherein the method is used in a tracking service system, the system is connected to a smart terminal, and the method includes: obtaining a tracking identifier; communicating with the smart terminal through the tracking identifier to obtain product information, wherein the product generates signal data; obtaining a product signal database, and sending the product signal database to the tracking service system; constructing a signal standard database; inputting the product signal database and the signal standard database into an evaluation model; obtaining an output result of the evaluation model, the output result including a first evaluation result, the first evaluation result being used to represent the result of a matching evaluation between the product information in the product signal database and the signal standard in the signal standard database; judging whether the first evaluation result meets a first predetermined condition; when the first evaluation result meets the first predetermined condition, sending a first reminder message, the first reminder message being used to send a reminder message to the product and the smart terminal.

[0008] On the other hand, the present application also provides a tracking service system for electronic products, the system comprising: an identification module, the identification module being used to obtain a tracking identification; a reading module, the reading module being used to communicate with a smart terminal through the tracking identification to obtain product information, wherein the product generates signal data; a sending module, the sending module being used to obtain a product signal database and send the product signal database to the tracking service system; a construction module, the construction module being used to construct a signal standard database; an input module, the input module being used to input the product signal database and the signal standard database into an evaluation model; an output module, the output module being used to obtain an output result of the evaluation model, the output result comprising a first evaluation result, the first evaluation result being used to represent a result of a matching evaluation between the product information in the product signal database and the signal standard in the signal standard database; a judgment module, the judgment module being used to judge whether the first evaluation result meets a first predetermined condition; and a reminder module, the reminder module being used to send a first reminder message when the first evaluation result meets the first predetermined condition, the first reminder message being used to send a reminder message to the product and the smart terminal.

[0009] In a third aspect, the present invention provides a tracking service system for electronic products, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the method described in the first aspect when executing the program.

[0010] One or more technical solutions provided in the embodiments of this application have at least the following technical effects or advantages:

[0011] The method adopts the method of obtaining a tracking identifier; communicating with the smart terminal through the tracking identifier to obtain product information, wherein the product generates signal data; obtaining a product signal database, and sending the product signal database to the tracking service system; constructing a signal standard database; inputting the product signal database and the signal standard database into an evaluation model; obtaining the output result of the evaluation model, wherein the output result includes a first evaluation result, and the first evaluation result is used to represent the result of matching evaluation of the product information in the product signal database and the signal standard in the signal standard database; judging whether the first evaluation result meets the first predetermined condition; when the first evaluation result meets the first predetermined condition, sending a first reminder message, and the first reminder message is used to send a reminder message to the product and the smart terminal. Through real-time information collection and analysis, real-time information tracking and analysis of the product is achieved, and the working status is monitored. It is possible to conduct real-time and accurate product supervision, early warning and processing, avoid the expansion of abnormalities, and improve the technical effect of user experience.

[0012] The above description is only an overview of the technical solution of the present application. In order to more clearly understand the technical means of the present application, it can be implemented in accordance with the contents of the specification. In order to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are listed below. BRIEF DESCRIPTION OF THE DRAWINGS

[0013] Figure 1 This is a flow chart of a tracking service method for an electronic product according to an embodiment of the present application;

[0014] Figure 2 A schematic diagram of a process for obtaining a tracking identifier in a tracking service method for an electronic product according to an embodiment of the present application;

[0015] Figure 3 A schematic diagram of a flow chart of building a standard signal database for a tracking service method for an electronic product according to an embodiment of the present application;

[0016] Figure 4 A schematic diagram of a flow chart of signal trend prediction of a tracking service method for an electronic product according to an embodiment of the present application;

[0017] Figure 5 This is a flow chart of obtaining an original data set in a tracking service method for an electronic product according to an embodiment of the present application;

[0018] Figure 6 A schematic diagram of a process for evaluating a fault problem in a tracking service method for an electronic product according to an embodiment of the present application;

[0019] Figure 7A schematic diagram of the after-sales service process of a tracking service method for an electronic product according to an embodiment of the present application;

[0020] Figure 8 This is a structural diagram of a tracking service system for electronic products according to an embodiment of the present application.

[0021] Description of the accompanying drawings: identification module 11, reading module 12, sending module 13, construction module 14, input module 15, output module 16, judgment module 17, reminder module 18. DETAILED DESCRIPTION

[0022] The embodiments of the present application solve the technical problems in the prior art of lacking real-time tracking services for products, which result in the inability to monitor and analyze the working status in real time, and the inability to promptly and accurately carry out product early warning and processing by providing a tracking service method and system for electronic products. The method achieves real-time information tracking and analysis of products, monitoring of the working status, and real-time and accurate supervision, early warning and processing of products, avoiding the expansion of abnormalities and improving the technical effect of user experience. The embodiments of the present application are described below in conjunction with the accompanying drawings. It is known to those skilled in the art that with the development of technology and the emergence of new scenarios, the technical solutions provided by the embodiments of the present application are also applicable to similar technical problems.

[0023] The terms "first", "second", etc. in the specification and claims of this application and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the terms used in this way can be interchanged under appropriate circumstances. This is merely a way of distinguishing when describing objects with the same properties in the embodiments of the present application. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, so that a process, method, system, product or apparatus that includes a series of units is not necessarily limited to those units, but may include other units not expressly listed or inherent to these processes, methods, products or apparatuses.

[0024] After introducing the basic principles of the present application, various non-limiting implementation methods of the present application will be specifically introduced in conjunction with the drawings in the specification.

[0025] Example 1

[0026] like Figure 1 As shown, an embodiment of the present application provides a tracking service method for an electronic product, wherein the method is used in a tracking service system, the system is connected to a smart terminal, and the method includes:

[0027] Step S100: obtaining a tracking identifier;

[0028] Step S200: Communicating with the smart terminal via the tracking identifier to obtain product information, wherein the product generates signal data;

[0029] Specifically, the tracking service system is a system for collecting, comparing, analyzing, and issuing early warnings for tracking information, and it can acquire information and process data. The smart terminal is an intelligent electronic product, which can be a mobile device such as a mobile phone, tablet, or computer. The tracking service system is in communication with the smart terminal and can exchange data with each other. The tracking identifier is identification information for uniquely identifying a product. The identification information can be an identification code such as a barcode or QR code that records information. The product is an intelligently monitored product, and the product uniquely corresponds to the tracking identifier. Based on the smart terminal and the tracking identifier, a communication connection is established between the product and the smart terminal. Through the communication connection, the smart terminal can obtain real-time signal data information about the product. The product is identified by the tracking identifier, and a connection relationship between the product and the smart terminal is established based on the tracking identifier by the smart terminal device, laying the foundation for subsequent real-time information collection and analysis.

[0030] Step S300: obtaining a product signal database, and sending the product signal database to the tracking service system;

[0031] Step S400: constructing a signal standard database;

[0032] Specifically, the signals include but are not limited to current, voltage and other signals. The product signal database is a collection of data signals of the product, that is, a signal database of the product in different states, including standby state, working state, shutdown state, etc. The data information of the product in the above states is collected by the smart terminal, and the signal database of the product is constructed based on the collection results. The product signal database is transmitted to the tracking service system through the smart terminal. The signal standard database is the signal standard data of the product in standby state and shutdown state, wherein the signal standard database is not only the standard data in the laboratory environment, but also the standard data in the normal home environment. Therefore, each standard data in the standard database is not a fixed value, but a range of values. The signal standard database is constructed by standard data collection. The construction of the signal standard database and the collection of the product signal database lay the foundation for the subsequent signal analysis and early warning of the product.

[0033] Step S500: inputting the product signal database and the signal standard database into an evaluation model;

[0034] Specifically, the evaluation model is a model obtained by training with a large amount of training data to compare the product signal database and the signal standard database. The training process of the evaluation model is essentially a supervised learning process. The evaluation model is learned by taking the product signal database and the signal standard database as input data and the identification information of the identification evaluation result as supervision data.

[0035] Specifically, each set of training data in the training dataset includes the product signal database and the signal standard database. The supervisory dataset is the identification dataset, where each identification data in the identification dataset uniquely corresponds to a group data in the training dataset. The training process involves inputting each set of training data into the evaluation model and modifying the model using the identification data corresponding to the current group. Initial training is considered complete when the output accuracy of the evaluation model after supervised learning meets the expected threshold.

[0036] Furthermore, the training process not only includes the process of supervised learning, but also includes a testing process. The multiple groups of training data are divided into training data and test data, with a preferred distribution ratio of 7:3. When the output result of the test data evaluation model tends to a stable value, the construction of the evaluation model is completed. Through the construction of the evaluation model, a solid foundation is laid for the subsequent accurate comparison of the product signal database and the standard signal database.

[0037] Step S600: Obtaining an output result of the evaluation model, wherein the output result includes a first evaluation result, wherein the first evaluation result is used to represent a result of a matching evaluation between the product information in the product signal database and the signal standard in the signal standard database;

[0038] Specifically, the product signal database and the signal standard database are input into the evaluation model, and the matching degree of each signal data of the product signal database and the standard signal database is evaluated by the evaluation model. The output result is obtained by comparing the deviation values of each signal information, wherein the output result includes the matching evaluation result of the evaluation model.

[0039] Step S700: determining whether the first evaluation result satisfies a first predetermined condition;

[0040] Step S800: When the first evaluation result meets the first predetermined condition, a first reminder message is sent, where the first reminder message is used to send reminder information to the product and the smart terminal.

[0041] Specifically, the first predetermined condition is a condition set according to the signal data in the signal standard database, that is, a threshold value set according to different signal matching degrees. Further, the first predetermined condition can also be a combination matching condition of the signal, that is, the first predetermined condition not only includes a threshold value set for a certain signal value deviation, but also includes preset conditions for multiple signal combinations. When the first evaluation result meets the first preset condition, it indicates that the signal of the product has an abnormal development trend or is already abnormal. At this time, a first reminder message is sent to the product and the smart terminal, wherein the first reminder message is generated according to the first evaluation result and has an early warning function. The reminder message is sent to the product and the smart terminal through the first reminder message. Through real-time information collection and analysis, real-time information tracking and analysis of the product can be achieved, and the working status can be monitored. The product supervision, early warning and processing can be carried out in real time and accurately to avoid the expansion of abnormalities and improve the technical effect of user experience.

[0042] Furthermore, if Figure 2 As shown, the obtaining of the tracking identifier, step S100 in the embodiment of the present application further includes:

[0043] Step S110: Obtain product structure information based on the product information;

[0044] Step S120: Obtaining tracking evaluation results based on the product structure information;

[0045] Step S130: when the tracking evaluation result meets the second predetermined condition, obtaining a product signal output element;

[0046] Step S140: Obtain company information, where the company information is information about the company that produces the product;

[0047] Step S150: Obtain the tracking identifier according to the company information and the product signal output component.

[0048] Specifically, the product information includes basic product information. Based on the basic product information, the product's structural information is obtained. A structural traceability assessment is performed on the product's components to obtain the traceability assessment result. The traceability assessment is the process of evaluating whether a product is traceable based on its individual components. The second condition is a condition for determining traceability. Upon obtaining the traceability assessment result, the product's traceability is assessed based on the second predetermined condition. If the traceability assessment result satisfies the second predetermined condition, a first signal output element is obtained based on the product's structural information. The signal output element is a real-time product information output element. A tracking identifier is obtained based on the product's company information and the product signal output element. The tracking identifier includes the company information and information for establishing a connection with the product signal output element. The tracking identifier not only establishes a connection but also allows for connection to the manufacturer's after-sales system, further facilitating subsequent product processing and service. The product's traceability is determined based on the tracking assessment result, making the establishment of the tracking identifier more rational and laying a solid foundation for subsequent signal transmission and signal analysis and evaluation.

[0049] Furthermore, if Figure 3 As shown, step S400 in this embodiment of the application further includes:

[0050] Step S410: Obtain a product history data set based on the product, wherein the product history data set has a time requirement and includes data information corresponding to all working stages of the product, and classify the product history data set according to the working stage;

[0051] Step S420: pre-processing the product history data set to obtain an original data set;

[0052] Step S430: Obtain product circuit diagram;

[0053] Step S440: extracting a circuit relationship information network based on the product circuit diagram and the product information;

[0054] Step S450: Obtaining a signal set corresponding to a working phase according to the circuit relationship information network and the original data set;

[0055] Step S460: constructing the signal standard database according to the signal set corresponding to the working stage and the circuit relationship information network.

[0056] Specifically, the manufacturer's test data of the product is obtained, wherein the data includes laboratory environment test data and simulated real environment test data, the time requirement refers to a collection time requirement range set for the first data, and a historical data set of the product within a predetermined time period is obtained, the historical data set includes data information corresponding to the product in all working stages, and based on the working stage, the data information is classified into different stages, the product circuit diagram refers to a schematic diagram reflecting the connection relationship of each component of the product, based on the product circuit diagram and the product information, the circuit relationship information network of the product is extracted, and based on the circuit relationship information network and the original data set, the signal set of each component and point of the product in different working stages (including normal working state, component fault working state, initial working state, and disturbed working state) is obtained, and the signal standard database is constructed based on the signal set and the circuit relationship information network. By extracting the circuit information network, the output signal of the product in each working state is obtained, making the constructed signal standard database more comprehensive and accurate, providing data support for subsequent signal analysis and comparison, and achieving the technical effect of facilitating subsequent analysis and processing through the extraction of the circuit information network.

[0057] Further, such as Figure 4 As shown, the embodiment of the present application also includes:

[0058] Step S910: Obtaining node information of each working stage according to the original data set;

[0059] Step S920: Obtain product signal trend change information based on the node information of each working stage;

[0060] Step S930: continue to traverse and compare the product signal database according to the product signal trend change information to obtain a comparison result;

[0061] Step S940: Obtaining a predicted trend change based on the comparison result;

[0062] Step S950: When the predicted trend change satisfies a third predetermined condition, a second reminder message is obtained.

[0063] Specifically, the operating phase nodes refer to nodes where data changes occur during the operating phase. Based on the collected raw data set, the nodes for each operating phase of the product are extracted to obtain signal trend change information for the product during each operating phase. For example, if the product is an air conditioner, the signal trend can be the standard current change of the air conditioner's current signal when it switches from low frequency to high frequency. Current information is collected and analyzed during the product's switching between the same operating phase or different operating phases to obtain product signal trend change information. The product operating phase corresponding to each data point in the product signal database is compared with the operating phase corresponding to the product signal trend change to determine the degree of match between the product's detection signal database and the signal trend change, thereby obtaining a predicted trend change. A third preset condition is set, which is a preset condition for evaluating the signal trend match. When the predicted trend change meets the third preset condition, a second reminder message is obtained. Based on the second reminder message, the user is alerted that the product may have data anomalies. Although the data performance is currently within the specified range, the data trend has become abnormal, and the user is prompted to suspend the product for appropriate processing. By analyzing the signal changes in the transition stages of various working states, early warning can be given based on the trend change comparison of the signal, reducing product abnormality risks, reducing user losses, and improving user experience.

[0064] Further, such as Figure 5 As shown, the product historical data set is preprocessed to obtain the original data set. In the embodiment of the present application, step S420 further includes:

[0065] Step S421: obtaining a confidence interval based on the product historical data set;

[0066] Step S422: obtaining a confidence data set according to the confidence interval and the product historical data set;

[0067] Step S423: normalize the confidence data set to obtain the original data set.

[0068] Specifically, the confidence interval is a constraint interval for data signal filtering. According to the historical data set of the product, the historical data set is subjected to noise reduction and filtering, that is, through the confidence interval. The product historical data set is screened, and after filtering inaccurate, questionable, and incomplete data, a confidence data set is obtained, and the confidence data set is normalized to obtain the original data set. The normalization process refers to converting the characteristic values of the sample to the same dimension and mapping the data to the interval of [0, 1] or [-1, 1] to facilitate data processing and comparison. Through data screening with confidence intervals, redundant data, inaccurate data, and incomplete data are eliminated, making the original data set more accurate. Through data normalization, a technical effect of facilitating subsequent comparison and analysis is achieved.

[0069] Furthermore, if Figure 6 As shown, step S800 in this embodiment of the application further includes:

[0070] Step S810: Obtaining signal deviation information according to the first evaluation result, the product signal database, and the signal set corresponding to the working stage;

[0071] Step S820: Obtaining associated circuit information based on the signal deviation information and the circuit relationship information network;

[0072] Step S830: obtaining feedback information according to the associated circuit information, and sending the feedback information to the smart terminal;

[0073] Step S840: obtaining reply information based on the feedback information through the smart terminal, where the reply information includes circuit detection information corresponding to the feedback information;

[0074] Step S850: Obtain a second evaluation result based on the circuit detection information and the circuit relationship information network, where the second evaluation result includes an evaluation question, and feed the second evaluation result back to the smart terminal.

[0075] Specifically, signal deviation information is obtained based on the first evaluation result and the product signal database and the signal set corresponding to the working stage, wherein the signal deviation information is the deviation information between the product signal database and the signal set corresponding to the working stage. Based on the signal deviation information and the circuit relationship network, a circuit set with associated information corresponding to the signal deviation information, i.e., the associated circuit, is obtained, and signals are collected for the associated circuit. The collection process can be performed by the product itself. When the product does not have the collection function or equipment, data can be collected by the user. The feedback information is obtained based on the collection result, and the feedback information is sent to the tracking service system through the smart terminal to obtain reply information from the tracking service system. The second evaluation result is obtained based on the circuit detection information and the circuit relationship information network in the reply information. The second evaluation result includes an evaluation problem, which is component failure information. The second evaluation result is fed back to the smart terminal, and the component failure information is provided to the user of the product through the smart terminal. With the permission of the user, the failure information is provided to the manufacturer of the product. By collecting and analyzing the signals, further information collection and feedback analysis are conducted on the first product, so that the final fault assessment result is more accurate, thereby achieving the technical effect of improving the real-time and accuracy of the assessment and improving the user experience.

[0076] Further, such as Figure 7 As shown, step S850 in this embodiment of the application further includes:

[0077] Step S851: Obtain debugging information and quality assurance information according to the second evaluation result, and feed the debugging information and quality assurance information back to the smart terminal;

[0078] Step S852: When the warranty information satisfies the fourth predetermined condition, a warranty service policy is obtained and synchronously fed back to the smart terminal, where the warranty service policy includes service selection information.

[0079] Specifically, based on the second evaluation result, that is, the analyzed fault result, a corresponding debugging method introduction is provided. The introduction may include a video or text introduction, or a presentation. If it is just a simple debugging problem, the debugging information is provided to the product user through the smart terminal, so that the user can clearly troubleshoot the hidden / explicit faults of the product according to the debugging guidance. When the debugging problem is not simple, the warranty information of the product is obtained. The warranty information includes whether the fault result is within the warranty range. When the fault information is within the warranty range, that is, the fourth preset condition is met, the user is provided with corresponding warranty selection information. The selection information includes the applicable warranty terms, after-sales address, door-to-door phone number, mailing, and other options. The user can go to the corresponding maintenance service point for repair or call for door-to-door repair, etc. By obtaining debugging information and warranty information, users can handle faults more conveniently, reduce operational complexity, improve user problem-solving efficiency, and enhance user experience.

[0080] In summary, the electronic product tracking service method and system provided by the embodiments of the present application have the following technical effects:

[0081] 1. Obtaining a tracking identifier; communicating with the smart terminal via the tracking identifier to obtain product information, wherein the product generates signal data; obtaining a product signal database and sending the product signal database to the tracking service system; constructing a signal standard database; inputting the product signal database and the signal standard database into an evaluation model, wherein the evaluation model is obtained through training using multiple sets of training data, each of the multiple sets of training data including a product signal database, a signal standard database, and identification information identifying an evaluation result; obtaining an output result of the evaluation model, wherein the output result includes a first evaluation result, which is used to represent the result of a matching evaluation between the product information in the product signal database and the signal standard in the signal standard database; determining whether the first evaluation result satisfies a first predetermined condition; and sending a first reminder message when the first evaluation result satisfies the first predetermined condition, wherein the first reminder message is used to send a reminder message to the product and the smart terminal. Through real-time information collection and analysis, real-time product information tracking and analysis, and working status monitoring are achieved. This allows for real-time and accurate product supervision, early warning, and processing, avoiding the escalation of abnormalities and improving user experience.

[0082] 2. By using the tracking and evaluation results to determine the traceability of the product, the tracking identification is established more rationally, laying a solid foundation for subsequent signal transmission and signal analysis and evaluation.

[0083] 3. By extracting the circuit information network, the output signals of products in various working states are obtained, making the constructed signal standard database more comprehensive and accurate, providing data support for subsequent signal analysis and comparison. By extracting the circuit information network, the technical effect of facilitating subsequent analysis and processing is achieved.

[0084] 4. By analyzing the signal changes in the transition stages of various working states, early warning can be given based on the trend change comparison of the signal, reducing product abnormality risks, reducing user losses, and improving user experience.

[0085] Example 2

[0086] Based on the same inventive concept as the tracking service method for an electronic product in the aforementioned embodiment, the present invention also provides a tracking service system for an electronic product, such as Figure 8 As shown, the system includes:

[0087] An identification module 11, the identification module 11 is used to obtain a tracking identification;

[0088] a reading module 12, the reading module 12 being configured to communicate with the smart terminal via the tracking identifier to obtain product information, wherein the product generates signal data;

[0089] a sending module 13, the sending module 13 being configured to obtain a product signal database and send the product signal database to the tracking service system;

[0090] A construction module 14, wherein the construction module 14 is used to construct a signal standard database;

[0091] An input module 15, the input module 15 is used to input the product signal database and the signal standard database into the evaluation model;

[0092] an output module 16 configured to obtain an output result of the evaluation model, wherein the output result includes a first evaluation result, wherein the first evaluation result is used to represent a result of a matching evaluation between the product information in the product signal database and the signal standard in the signal standard database;

[0093] A judgment module 17, configured to judge whether the first evaluation result satisfies a first predetermined condition;

[0094] The reminder module 18 is configured to send a first reminder message when the first evaluation result meets the first predetermined condition, wherein the first reminder message is used to send a reminder message to the product and the smart terminal.

[0095] Furthermore, the identification module 11 further includes:

[0096] Obtaining product structure information according to the product information;

[0097] Obtaining tracking evaluation results based on the product structure information;

[0098] When the tracking and evaluation result satisfies a second predetermined condition, obtaining a product signal output element;

[0099] Obtaining company information, where the company information is information about the company that produces the product;

[0100] The tracking identifier is obtained according to the company information and the product signal output component.

[0101] Furthermore, the building module 14 also includes:

[0102] Obtaining a product history data set based on the product, wherein the product history data set has a time requirement and includes data information corresponding to all working stages of the product, and classifying the product history data set based on the working stages;

[0103] Preprocessing the product historical data set to obtain an original data set;

[0104] Get product circuit diagram;

[0105] Extracting a circuit relationship information network based on the product circuit diagram and the product information;

[0106] Obtaining a signal set corresponding to a working phase according to the circuit relationship information network and the original data set;

[0107] The signal standard database is constructed according to the signal set corresponding to the working stage and the circuit relationship information network.

[0108] Furthermore, the system further comprises:

[0109] Obtaining node information of each working stage according to the original data set;

[0110] Obtain product signal trend change information based on the node information of each work stage;

[0111] Continue to traverse and compare the product signal database according to the product signal trend change information to obtain a comparison result;

[0112] Obtaining a predicted trend change based on the comparison results;

[0113] When the predicted trend change satisfies a third predetermined condition, a second reminder message is obtained.

[0114] Furthermore, the building module 14 also includes:

[0115] Obtaining a confidence interval based on the product historical data set;

[0116] Obtaining a confidence data set according to the confidence interval and the product historical data set;

[0117] The confidence data set is normalized to obtain the original data set.

[0118] Furthermore, the reminder module 18 further includes:

[0119] Obtaining signal deviation information according to the first evaluation result, the product signal database, and the signal set corresponding to the working stage;

[0120] Obtaining associated circuit information based on the signal deviation information and the circuit relationship information network;

[0121] Obtaining feedback information according to the associated circuit information, and sending the feedback information to the smart terminal;

[0122] obtaining, by the smart terminal, reply information based on the feedback information, the reply information including circuit detection information corresponding to the feedback information;

[0123] A second evaluation result is obtained according to the circuit detection information and the circuit relationship information network, the second evaluation result including an evaluation question, and the second evaluation result is fed back to the smart terminal.

[0124] Furthermore, the reminder module 18 further includes:

[0125] obtaining debugging information and quality assurance information according to the second evaluation result, and feeding back the debugging information and quality assurance information to the smart terminal;

[0126] When the warranty information satisfies a fourth predetermined condition, a warranty service policy is obtained and synchronously fed back to the smart terminal, where the warranty service policy includes service selection information.

[0127] The foregoing Figure 1 Various variations and specific examples of the tracking service method for an electronic product in Example 1 are also applicable to the tracking service system for an electronic product in this embodiment. Through the above detailed description of the tracking service method for an electronic product, those skilled in the art can clearly understand the implementation method of the tracking service system for an electronic product in this embodiment. Therefore, for the sake of brevity of the specification, it will not be described in detail here.

[0128] Through the description of the above implementation methods, those skilled in the art can clearly understand that the present application can be implemented by means of software plus necessary general-purpose hardware, and of course can also be implemented by dedicated hardware including application-specific integrated circuits, dedicated CPUs, dedicated memories, dedicated components, etc. In general, all functions performed by computer programs can be easily implemented with corresponding hardware, and the specific hardware structures used to implement the same function can also be diverse, such as analog circuits, digital circuits, or dedicated circuits. However, for the present application, software program implementation is a better implementation method in most cases. Based on this understanding, the technical solution of the present application is essentially or the part that contributes to the prior art can be embodied in the form of a software product, which is stored in a readable storage medium, such as a computer's floppy disk, USB flash drive, mobile hard disk, ROM, RAM, magnetic disk or optical disk, etc., and includes a number of instructions for enabling a computer device to execute the methods described in each embodiment of the present application.

[0129] In the above embodiments, all or part of the embodiments may be implemented by software, hardware, firmware, or any combination thereof. When implemented by software, all or part of the embodiments may be implemented in the form of a computer program product.

[0130] The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, the process or function described in the embodiment of the present application is generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable devices. The computer instructions can be stored in a computer-readable storage medium, or transmitted from a computer-readable storage medium to another computer-readable storage medium, and the available medium can be a magnetic medium, (for example, a floppy disk, a hard disk, a magnetic tape), an optical medium (for example, a DVD), or a semiconductor medium (for example, a solid-state drive (SSD)).

[0131] It should be understood that “one embodiment” or “an embodiment” mentioned throughout the specification means that the specific features, structures or characteristics related to the embodiment are included in at least one embodiment of the present application. Therefore, “in one embodiment” or “in an embodiment” appearing throughout the specification does not necessarily refer to the same embodiment. In addition, these specific features, structures or characteristics can be combined in one or more embodiments in any suitable manner. It should be understood that in the various embodiments of the present application, the size of the sequence numbers of the above-mentioned processes does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0132] Additionally, the terms "system" and "network" are often used interchangeably. The term "and / or" is simply used to describe a relationship between related objects, indicating that three possible relationships exist. For example, "A and / or B" can mean: A exists alone, A and B exist simultaneously, or B exists alone. Furthermore, the character " / " generally indicates an "or" relationship between the related objects.

[0133] It should be understood that in the embodiments of the present application, "B corresponding to A" means that B is associated with A and B can be determined based on A. However, it should also be understood that determining B based on A does not mean determining B based solely on A, but B can also be determined based on A and / or other information.

[0134] Those skilled in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of the two. In order to clearly illustrate the interchangeability of hardware and software, the composition and steps of each example have been generally described in terms of function in the above description. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0135] In short, the above description is only a preferred embodiment of the technical solution of this application and is not intended to limit the scope of protection of this application. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principles of this application shall be included in the scope of protection of this application.

Claims

1. A tracking service method for electronic products, wherein: The method is used for tracking a service system, wherein the system is connected to a smart terminal, and the method comprises: Obtain tracking identification; obtaining product information by communicating with the smart terminal through the tracking identifier, wherein the product generates signal data; Obtaining a product signal database, and sending the product signal database to the tracking service system; Build a signal standard database; Inputting the product signal database and the signal standard database into an evaluation model; Obtaining an output result of the evaluation model, the output result including a first evaluation result, the first evaluation result being used to represent a result of a matching evaluation between the product information in the product signal database and the signal standard in the signal standard database; Determining whether the first evaluation result meets a first predetermined condition; When the first evaluation result meets the first predetermined condition, sending a first reminder message, where the first reminder message is used to send a reminder message to the product and the smart terminal; The constructing of the signal standard database includes: Obtaining a product history data set based on the product, wherein the product history data set has a time requirement and includes data information corresponding to all working stages of the product, and classifying the product history data set based on the working stages; Preprocessing the product historical data set to obtain an original data set; Get product circuit diagram; Extracting a circuit relationship information network based on the product circuit diagram and the product information; Obtaining a signal set corresponding to a working phase according to the circuit relationship information network and the original data set; The signal standard database is constructed according to the signal set corresponding to the working stage and the circuit relationship information network.

2. The method according to claim 1, wherein The obtaining of the tracking identifier includes: Obtaining product structure information according to the product information; Obtaining tracking evaluation results based on the product structure information; When the tracking and evaluation result satisfies a second predetermined condition, obtaining a product signal output element; Obtaining company information, where the company information is information about the company that produces the product; The tracking identifier is obtained according to the company information and the product signal output component.

3. The method according to claim 1, wherein The method comprises: Obtaining node information of each working stage according to the original data set; Obtain product signal trend change information based on the node information of each work stage; Continue to traverse and compare the product signal database according to the product signal trend change information to obtain a comparison result; Obtaining a predicted trend change based on the comparison results; When the predicted trend change satisfies a third predetermined condition, a second reminder message is obtained.

4. The method according to claim 1, wherein The preprocessing of the product historical data set to obtain the original data set includes: Obtaining a confidence interval based on the product historical data set; Obtaining a confidence data set according to the confidence interval and the product historical data set; The confidence data set is normalized to obtain the original data set.

5. The method according to claim 1, wherein After sending the first reminder message, the method includes: Obtaining signal deviation information according to the first evaluation result, the product signal database, and the signal set corresponding to the working stage; Obtaining associated circuit information based on the signal deviation information and the circuit relationship information network; Obtaining feedback information according to the associated circuit information, and sending the feedback information to the smart terminal; obtaining, by the smart terminal, reply information based on the feedback information, the reply information including circuit detection information corresponding to the feedback information; A second evaluation result is obtained according to the circuit detection information and the circuit relationship information network, the second evaluation result including an evaluation question, and the second evaluation result is fed back to the smart terminal.

6. The method according to claim 5, wherein: The method comprises: obtaining debugging information and quality assurance information according to the second evaluation result, and feeding back the debugging information and quality assurance information to the smart terminal; When the warranty information satisfies a fourth predetermined condition, a warranty service policy is obtained and synchronously fed back to the smart terminal, where the warranty service policy includes service selection information.

7. A tracking service system for electronic products, wherein: The system comprises: an identification module, the identification module being used to obtain a tracking identification; a reading module, the reading module being used to communicate with the smart terminal through the tracking identifier to obtain product information, wherein the product generates signal data; a sending module, the sending module being used to obtain a product signal database and send the product signal database to the tracking service system; A construction module, wherein the construction module is used to construct a signal standard database; An input module, the input module being used to input the product signal database and the signal standard database into an evaluation model; an output module, the output module being configured to obtain an output result of the evaluation model, the output result comprising a first evaluation result, the first evaluation result being configured to represent a result of a matching evaluation between the product information in the product signal database and the signal standard in the signal standard database; a judgment module, configured to judge whether the first evaluation result satisfies a first predetermined condition; a reminder module, configured to send a first reminder message when the first evaluation result satisfies the first predetermined condition, wherein the first reminder message is used to send a reminder message to the product and the smart terminal; Furthermore, the building block also includes: Obtaining a product history data set based on the product, wherein the product history data set has a time requirement and includes data information corresponding to all working stages of the product, and classifying the product history data set based on the working stages; Preprocessing the product historical data set to obtain an original data set; Get product circuit diagram; Extracting a circuit relationship information network based on the product circuit diagram and the product information; Obtaining a signal set corresponding to a working phase according to the circuit relationship information network and the original data set; The signal standard database is constructed according to the signal set corresponding to the working stage and the circuit relationship information network.

8. A tracking service system for electronic products, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the program, the steps of the method according to any one of claims 1 to 6 are implemented.

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