CN115654687B - Tracking service method and system for electronic product - Google Patents
Tracking service method and system for electronic productInfo
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- CN115654687B CN115654687B CN202211304839.5A CN202211304839A CN115654687B CN 115654687 B CN115654687 B CN 115654687B CN 202211304839 A CN202211304839 A CN 202211304839A CN 115654687 B CN115654687 B CN 115654687B
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Abstract
The invention discloses a tracking service method and a tracking service system for electronic products, which are characterized by obtaining tracking identification, obtaining product information, obtaining a product signal database, constructing a signal standard database, inputting the product signal database and the signal standard database into an evaluation model, obtaining an output result, wherein a first evaluation result is used for representing a 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 a first preset condition, and sending first reminding information when the first evaluation result meets the first preset condition, wherein the first reminding information is used for sending reminding information to the product and the intelligent terminal. The method solves the technical problems that the prior art lacks real-time tracking service for products, so that the working state monitoring and analysis cannot be performed in real time, and the early warning and processing of the products cannot be performed timely and accurately.
Description
Technical Field
The invention relates to the related fields of data identification and data representation, in particular to a tracking service method and a tracking service system of an electronic product.
Background
Along with the progress of science and technology, the electronic products are updated and iterated continuously, so that the electronic products are more and more convenient to use, but the product quality is good and bad due to the strong competition of markets. In order to ensure the quality of products, improve the competitiveness, it is important to timely perform problem discovery and feedback of the products, timely and accurate feedback can timely discover the problems, timely provide a solution for customers, timely discover the defects of the products, and improve the user experience.
However, in the process of implementing the technical scheme of the embodiment of the application, the inventor discovers that the above technology has at least the following technical problems:
in the prior art, due to the fact that real-time tracking service is not carried out on products, working state monitoring and analysis cannot be carried out in real time, and the technical problem that early warning and processing of the products cannot be timely and accurately carried out exists.
Disclosure of Invention
The embodiment of the application solves the technical problems that the working state monitoring and analysis cannot be performed in real time due to the lack of real-time tracking service on the products in the prior art, and the early warning and processing of the products cannot be performed timely and accurately, achieves the purposes of real-time information tracking and analysis on the products, monitoring the working state, and performing the supervision early warning and processing of the products in real time and accurately, avoids the enlargement of abnormality and improves the technical effect of user experience.
In view of the above problems, embodiments of the present application provide a tracking service method and system for an electronic product.
The application provides a tracking service method of an electronic product, wherein the method is used for a tracking service system, the system is connected with an intelligent terminal, the method comprises the steps of obtaining a tracking identifier, obtaining product information through communication connection of the tracking identifier and the intelligent terminal, obtaining a product signal database, 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, wherein the output result comprises a first evaluation result, the first evaluation result is used for representing a result of matching evaluation of product information in the product signal database and a signal standard in the signal standard database, judging whether the first evaluation result meets a first preset condition, and sending first reminding information to the product and the intelligent terminal when the first evaluation result meets the first preset condition.
On the other hand, the application also provides a tracking service system of the electronic product, which comprises an identification module, a reading module, a sending module, a construction module, an input module and an output module, wherein the identification module is used for obtaining a tracking identification, the reading module is used for obtaining product information through communication connection of the tracking identification and an intelligent terminal, the product generates signal data, the sending module is used for obtaining the product signal database and sending the product signal database to the tracking service system, the construction module is used for constructing a signal standard database, the input module is used for inputting the product signal database and the signal standard database into an evaluation model, the output module is used for obtaining an output result of the evaluation model, the output result comprises a first evaluation result, the first evaluation result is used for representing a result of matching evaluation of product information in the product signal database and signal standards in the signal standard database, the judging module is used for judging whether the first evaluation result meets a first preset condition or not, and the reminding module is used for sending the first evaluation result to the intelligent terminal when the first preset condition is met.
In a third aspect, the present invention provides a tracking service system for an electronic product, comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the steps of the method of the first aspect when executing the program.
One or more technical solutions provided in the embodiments of the present application at least have the following technical effects or advantages:
The method comprises the steps of obtaining tracking identification, obtaining product information through communication connection of the tracking identification and the intelligent terminal, obtaining product signal data, obtaining a product signal database, 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, wherein the output result comprises a first evaluation result, the first evaluation result is used for representing a result of matching evaluation of product information in the product signal database and signal standards in the signal standard database, judging whether the first evaluation result meets a first preset condition, sending first reminding information when the first evaluation result meets the first preset condition, sending the reminding information to the product and the intelligent terminal, and carrying out information tracking and analysis on the product in real time through real-time information acquisition and analysis so as to monitor the working state, thereby carrying out supervision and early warning on the product in real time and accurately, avoiding abnormal experience of users, and improving the technical effect of users.
The foregoing description is only an overview of the present application, and is intended to be implemented in accordance with the teachings of the present application in order that the same may be more clearly understood and to make the same and other objects, features and advantages of the present application more readily apparent.
Drawings
Fig. 1 is a flow chart of a tracking service method of an electronic product according to an embodiment of the application;
FIG. 2 is a schematic flow chart of a tracking service method for an electronic product according to an embodiment of the present application;
FIG. 3 is a schematic flow chart of a method for constructing a standard signal database for tracking service of an electronic product according to an embodiment of the present application;
Fig. 4 is a schematic flow chart of signal trend prediction of a tracking service method of an electronic product according to an embodiment of the present application;
FIG. 5 is a schematic flow chart of a tracking service method for an electronic product according to an embodiment of the present application for obtaining an original data set;
FIG. 6 is a schematic diagram of a process for performing fault problem assessment in a tracking service method of an electronic product according to an embodiment of the present application;
FIG. 7 is a schematic flow chart of an after-sales service of a tracking service method of an electronic product according to an embodiment of the application;
fig. 8 is a schematic structural diagram of a tracking service system for an electronic product according to an embodiment of the present application.
The reference numerals illustrate an identification module 11, a reading module 12, a sending module 13, a construction module 14, an input module 15, an output module 16, a judging module 17 and a reminding module 18.
Detailed Description
The embodiment of the application solves the technical problems that the real-time monitoring and analysis of the working state cannot be carried out due to the lack of real-time tracking service on the product in the prior art, and the early warning and processing of the product cannot be carried out timely and accurately, achieves the purposes of carrying out information tracking and analysis on the product in real time, monitoring the working state, carrying out supervision early warning and processing on the product in real time and accurately, avoiding the abnormal amplification and improving the technical effect of user experience. Embodiments of the present application are described below with reference to the accompanying drawings. As one of ordinary skill in the art can know, with the development of technology and the appearance of new scenes, the technical scheme provided by the embodiment of the application is also applicable to similar technical problems.
The terms first, second and the like in the description and in the claims and in the above-described figures are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the terms so used are interchangeable under appropriate circumstances and are merely illustrative of the manner in which embodiments of the application have been described in connection with the description of the objects having the same attributes. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of elements is not necessarily limited to those elements, but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Having described the basic principles of the present application, various non-limiting embodiments of the present application will now be described in detail with reference to the accompanying drawings.
Example 1
As shown in fig. 1, an embodiment of the present application provides a tracking service method for an electronic product, where the method is used for a tracking service system, the system is connected with an intelligent terminal, and the method includes:
step S100, obtaining a tracking identifier;
Step 200, the tracking identification is in communication connection with the intelligent terminal to obtain product information, wherein the product generates signal data;
Specifically, the tracking service system is a system for collecting, comparing, analyzing and early warning tracking information, and can acquire information and process data. The intelligent terminal is an intelligent electronic product, and can be mobile equipment, such as a mobile phone, a tablet, a computer and the like, and the tracking service system is in communication connection with the intelligent terminal and can perform mutual data interaction. The tracking identification is identification information for uniquely identifying a product, the identification information can be identification codes of record information such as bar codes, two-dimensional codes and the like, the product is an intelligent monitoring product, the product uniquely corresponds to the tracking identification, communication connection between the product and the intelligent terminal is established based on the intelligent terminal and the tracking identification, and the intelligent terminal can obtain real-time signal data information of the product through the communication connection. And establishing a connection relation between the product and the intelligent terminal based on the intelligent terminal equipment through the tracking identifier by using the tracking identifier to the product identifier, thereby laying a foundation for subsequent real-time information acquisition and analysis.
Step S300, a product signal database is obtained, and the product signal database is sent to the tracking service system;
s400, constructing a signal standard database;
Specifically, the signals include, but are not limited to, signals of current, voltage, etc., and the product signal database is a data signal set of the product, that is, a signal database of the product in different states, where the different states include a standby state, an operating state, a shutdown state, etc. And acquiring data information of the product in the state through the intelligent terminal, constructing a signal database of the product according to an acquisition result, and transmitting the signal database of the product to the tracking service system through the intelligent terminal. The signal standard database is signal standard data of the product in a standby state and a shutdown state, wherein the signal standard database is not only standard data in a laboratory environment, but also standard data in a normal household environment, and therefore, each standard data of the standard database is not a fixed value, but a value range. The signal standard database is constructed through standard data acquisition, and a foundation is laid for subsequent signal analysis and early warning of products through the construction of the signal standard database and the acquisition of the product signal database.
S500, inputting the product signal database and the signal standard database into an evaluation model;
Specifically, the evaluation model is a model obtained through a large number of training data training and used for comparing a product signal database with a signal standard database, the training process of the evaluation model is a supervised learning process, and the product signal database and the signal standard database are used as input data, and the identification information of the identification evaluation result is used as supervised data to learn the evaluation model.
Further, each group of training data in the training data set comprises the product signal database and the signal standard database, and the supervision data set is an identification data set, wherein each identification data in the identification data set has a unique corresponding relation with the group data in the training data set. The training process is a process of inputting each group of training data into the evaluation model and carrying out model correction through the identification data corresponding to the current group. And when the output accuracy of the evaluation model after the supervised learning meets the expected threshold, the preliminary training is considered to be completed.
Furthermore, the training process includes a process of performing supervised learning, a process of testing, wherein the multiple sets of training data are divided into training data and testing data, the preferable distribution ratio is 7:3, when the output result of the testing data testing evaluation model tends to a stable value, the construction of the evaluation model is completed, and the foundation is tamped for the comparison of the product signal database and the standard signal database which are accurately performed subsequently through the construction of the evaluation model.
Step 600, obtaining an output result of the evaluation model, wherein the output result comprises a first evaluation result, and the first evaluation result is used for representing a result of matching evaluation of product information in the product signal database and signal standards in the signal standard database;
Specifically, the product signal database and the signal standard database are input into the evaluation model, the degree of matching of each signal data of the product signal database and the standard signal database is evaluated through the evaluation model, and the output result is obtained through comparing the deviation value of each signal information, wherein the output result comprises the matching degree evaluation result of the evaluation model.
Step S700, judging whether the first evaluation result meets a first preset condition;
And step S800, when the first evaluation result meets the first preset condition, sending first reminding information, wherein the first reminding information is used for sending reminding information to the product and the intelligent terminal.
Specifically, the first predetermined condition is a condition set according to each signal data in the signal standard database, that is, a threshold set according to different signal matching degrees, further, the first predetermined condition may also be a signal combination matching condition, that is, the first predetermined condition includes not only a certain signal value deviation setting threshold, but also a preset condition of a plurality of 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 abnormal, at this time, first reminding information is sent to the product and the intelligent terminal, wherein the first reminding information is generated according to the first evaluation result, and has an early warning function, the first reminding information is used for sending the product and the intelligent terminal, and through real-time information acquisition and analysis, the product is tracked and analyzed in real time, the working state is monitored, early warning and processing of the product can be performed in real time and accurately, the abnormal development is avoided, and the technical effect of user experience is improved.
Further, as shown in fig. 2, the step S100 of obtaining the tracking identifier further includes:
step S110, obtaining product structure information according to the product information;
Step S120, obtaining tracking evaluation results according to the product structure information;
step S130, when the tracking evaluation result meets a second preset condition, obtaining a product signal output element;
Step 140, obtaining company information, wherein the company information is company information corresponding to the production of the product;
And step S150, obtaining the tracking identification according to the company information and the product signal output element.
Specifically, the product information includes basic information of the product, structure information of the product is obtained according to the basic information of the product, tracking evaluation of the composition structure of the product is performed to obtain a tracking evaluation result, the tracking evaluation refers to a process of evaluating whether the product has tracking property according to each composition structure of the product, the second condition is a condition for judging the tracking property, when the tracking evaluation result is obtained, the tracking property of the product is evaluated through the second predetermined condition, when the tracking evaluation result meets the second predetermined condition, a first signal output element is obtained according to the product structure information, the signal output element is a product information output element which performs real-time, and a tracking identifier is obtained according to home company information of the product and the product signal output element, namely the tracking identifier includes the company information and information for establishing connection with the product signal output element. According to the tracking identification, connection establishment can be performed, and the tracking identification can be connected with an after-sales system of a manufacturer, so that subsequent product processing and service can be performed more conveniently. And judging the traceability of the product through judging the tracking evaluation result, so that the tracking identification is established more reasonably, and a foundation is tamped for subsequent signal transmission and signal analysis evaluation.
Further, as shown in fig. 3, step S400 of the embodiment of the present application further includes:
step S410, obtaining a product history data set according to the product, wherein the product history data set has time requirements, comprises data information corresponding to all working phases of the product, and classifies the product history data set according to the working phases;
Step S420, preprocessing the product history data set to obtain an original data set;
Step S430, obtaining a product circuit diagram;
step S440, extracting a circuit relation information network according to the product circuit diagram and the product information;
step S450, obtaining a signal set corresponding to a working stage according to the circuit relation information network and the original data set;
and step S460, constructing the signal standard database according to the signal set corresponding to the working stage and the circuit relation information network.
Specifically, factory test data of the product is obtained, wherein the data comprise laboratory environment test data and simulated real environment test data, the time requirement refers to an acquisition time requirement range set for the first data, a historical data set of the product in a preset time stage is obtained, the historical data set comprises data information corresponding to all working stages of the product, the data in different stages are classified based on the working stages, a product circuit diagram refers to a schematic diagram reflecting connection relations of all elements of the product, a circuit relation information network of the product is extracted according to the product circuit diagram and the product information, signal sets of all elements and points of the product in different working stages (including working states with disturbed initial working states of normal working state element faults) are obtained according to the circuit relation information network and the original data set, and the signal standard database is constructed based on the signal sets and the circuit relation information network. The product output signals under each working state are obtained through extracting the circuit information network, so that the constructed signal standard database is more comprehensive and accurate, data support is provided for subsequent signal analysis and comparison, and the technical effect of facilitating subsequent analysis and processing is achieved through extracting the circuit information network.
Further, as shown in fig. 4, the embodiment of the present application further includes:
step S910, according to the original data set, node information of each working stage is obtained;
Step S920, obtaining product signal trend change information according to the node information of each working stage;
Step S930, continuing traversing and comparing the product signal database according to the product signal trend change information to obtain a comparison result;
Step S940, according to the comparison result, obtaining a predicted trend change;
and step S950, when the predicted trend change meets a third preset condition, obtaining second reminding information.
Specifically, the nodes in each working stage refer to nodes with data change in the working stage, and the nodes in each working stage of the product are extracted according to the collected original data set to obtain signal trend change information of the product in each working stage. For example, when the product is an air conditioner, the signal trend may be a standard current change of the air conditioner from a low frequency to a high frequency current signal. And collecting and analyzing the current information of the product in the switching process of the same working stage or different working stages to obtain the signal trend change information of the product. And comparing the working phases of the product corresponding to each data in the product signal database with the working phases corresponding to the product signal trend change, and judging the matching degree of the detection signal database of the product and the signal trend change to obtain the predicted trend change. Setting a third preset condition, wherein the third preset condition is a preset condition for evaluating the signal trend matching degree, when the predicted trend change meets the third preset condition, obtaining second reminding information, reminding a user that the product possibly has data abnormality based on the second reminding information, and reminding the user that the data trend is abnormal although the temporary data expression is still within a specified range, and reminding the user to pause the product for corresponding processing. The signal change in the transition stage of various working states is analyzed, so that early warning can be made in advance based on trend change comparison of the signals, abnormal risks of products are reduced, user loss is reduced, and user experience is improved.
Further, as shown in fig. 5, the preprocessing is performed on the product history data set to obtain an original data set, and step S420 of the embodiment of the present application further includes:
step S421, obtaining a confidence interval according to the product history data set;
step S422, obtaining a confidence data set according to the confidence interval and the product history data set;
Step S423, carrying out normalization processing on the confidence data set to obtain the original data set.
Specifically, the confidence interval is a constraint interval for filtering the data signal, and noise reduction and filtering are performed on the historical data set according to the historical data set of the product, namely, the confidence interval is passed. And filtering inaccurate, ambiguous and incomplete data to obtain a confidence data set, and carrying out normalization processing on the confidence data set to obtain the original data set. The normalization processing refers to converting the characteristic value of the sample into the same dimension and mapping the data into the interval of [0,1] or [ -1,1] so as to achieve the effect of facilitating the processing and comparison of the data. Redundant data, inaccurate data and incomplete data are removed through data screening of confidence intervals, so that the original data set is more accurate, and the technical effect of facilitating subsequent comparison and analysis is achieved through normalization processing of the data.
Further, as shown in fig. 6, step S800 of the embodiment of the present application further includes:
Step 810, obtaining signal deviation information according to the first evaluation result, the product signal database and the signal set corresponding to the working stage;
step S820, obtaining related circuit information according to the signal deviation information and the circuit relation information network;
Step S830, obtaining feedback information according to the associated circuit information, and sending the feedback information to the intelligent terminal;
step S840, obtaining reply information through the intelligent terminal based on the feedback information, wherein the reply information comprises circuit detection information corresponding to the feedback information;
Step S850, obtaining a second evaluation result according to the circuit detection information and the circuit relation information network, wherein the second evaluation result comprises an evaluation problem, and feeding back the second evaluation result to the intelligent terminal.
Specifically, signal deviation information is obtained according to the first evaluation result, the product signal database and the signal set corresponding to the working stage, wherein the signal deviation information is deviation information of the product signal database and the signal set corresponding to the working stage, a circuit set corresponding to the signal deviation information and provided with associated information is obtained based on the signal deviation information and the circuit relation network, namely the associated circuit, the associated circuit is subjected to signal acquisition, the acquisition process can be performed for the product by itself, when the product does not have an acquisition function or equipment, data acquisition can be performed through a user, the feedback information is obtained according to an acquisition result, the feedback information is sent to the tracking service system through the intelligent terminal, reply information of the tracking service system is obtained, the second evaluation result comprises evaluation problem information according to the circuit detection information in the reply information and the circuit relation information network, the evaluation result is element fault information, the second evaluation result is fed back to the intelligent terminal, the fault information is provided to the manufacturer through the intelligent terminal, and the fault information is provided for the user under the fault information. Through signal acquisition and analysis processing, further information acquisition and feedback analysis are carried out on the first product, so that a final fault evaluation result is more accurate, and the technical effects of improving the real-time performance and accuracy of evaluation and improving the experience of a user are achieved.
Further, as shown in fig. 7, step S850 of the embodiment of the present application further includes:
Step S851, obtaining debugging information and quality assurance information according to the second evaluation result, and feeding the debugging information and the quality assurance information back to the intelligent terminal;
Step S852, when the quality assurance information meets a fourth preset condition, a quality assurance service policy is obtained, the quality assurance service policy is synchronously fed back to the intelligent terminal, and the quality assurance service policy comprises service selection information.
Specifically, according to the second evaluation result, that is, the fault result obtained by analysis, a corresponding debugging method introduction is performed, where the introduction may include, for example, video or text introduction, or a presentation, etc., if only a simple debugging problem is provided, the debugging information is provided to a product user through an intelligent terminal, so that the user can clearly perform implicit fault/explicit fault removal of the product according to a debugging instruction, and when the debugging problem is not simple, quality assurance information of the product is obtained, where the quality assurance information includes whether the fault result is within a quality assurance range. When the fault information is in the quality assurance range, the fourth preset condition is met, the quality assurance selection information corresponding to the user is provided, the selection information comprises applied quality assurance terms, after-sales addresses, gate-on calls, mailing and other various options, and the user can go to a corresponding maintenance service point for maintenance or call for gate-on maintenance and the like. Through obtaining debugging information and quality assurance information, a user can more conveniently process faults, operation complexity is reduced, problem solving efficiency of the user is improved, and user experience is improved.
In summary, the tracking service method and system for electronic products provided by the embodiment of the application have the following technical effects:
1. the method comprises the steps of obtaining tracking identification, obtaining product information through communication connection of the tracking identification and the intelligent terminal, obtaining product data, obtaining a product signal database, 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 of multiple sets of training data, each set of training data comprises the product signal database, the signal standard database and identification information for identifying evaluation results, obtaining output results of the evaluation model, the output results comprise first evaluation results, the first evaluation results are used for representing results of matching evaluation of product information in the product signal database and signal standards in the signal standard database, judging whether the first evaluation results meet first preset conditions, and sending first reminding information to the product and the intelligent terminal when the first evaluation results meet the first preset conditions, wherein the first reminding information is used for sending the reminding information to the product and the intelligent terminal, and the output results comprise first evaluation results, the first evaluation results are used for representing results of matching evaluation of product information in the product signal standard database, judging the first preset conditions, and the first reminding information is used for sending warning information to the product, real-time monitoring and real-time monitoring of the product can be analyzed and monitored and improved.
2. The tracking property of the product is judged by adopting a judging mode of the tracking evaluation result, so that the tracking identification is established more reasonably, and a foundation is tamped for subsequent signal transmission and signal analysis evaluation. .
3. The method has the advantages that the product output signals under all working states are obtained by extracting the circuit information network, so that the constructed signal standard database is more comprehensive and accurate, data support is provided for subsequent signal analysis and comparison, and the technical effect of facilitating subsequent analysis and processing is achieved by extracting the circuit information network.
4. The signal change in the transition stage of various working states is analyzed, so that early warning can be made in advance based on trend change comparison of the signals, abnormal risks of products are reduced, user loss is reduced, and user experience is improved.
Example two
Based on the same inventive concept as the tracking service method of an electronic product in the foregoing embodiment, the present invention further provides a tracking service system of an electronic product, as shown in fig. 8, where the system includes:
An identification module 11, wherein the identification module 11 is used for obtaining tracking identification;
The reading module 12 is used for being in communication connection with the intelligent terminal through the tracking identifier to obtain product information, wherein the product generates signal data;
The sending module 13 is used for obtaining a product signal database and sending the product signal database to the tracking service system;
a building module 14, wherein the building module 14 is used for building a signal standard database;
an input module 15, wherein the input module 15 is used for inputting the product signal database and the signal standard database into an evaluation model;
The output module 16 is configured to obtain an output result of the evaluation model, where the output result includes a first evaluation result, and the first evaluation result is used to represent a result of matching and evaluating product information in the product signal database with signal standards in the signal standard database;
A judging module 17, wherein the judging module 17 is configured to judge whether the first evaluation result meets a first predetermined condition;
The reminding module 18 is configured to send first reminding information when the first evaluation result meets the first predetermined condition, where the first reminding information is used to send reminding information to the product and the intelligent terminal. .
Further, the identification module 11 further includes:
obtaining product structure information according to the product information;
Obtaining a tracking evaluation result according to the product structure information;
when the tracking evaluation result meets a second preset condition, obtaining a product signal output element;
obtaining company information, wherein the company information is corresponding to the production of the product;
and obtaining the tracking identification according to the company information and the product signal output element.
Further, the building block 14 further comprises:
Obtaining a product history data set according to the product, wherein the product history data set has time requirements, comprises data information corresponding to all working phases of the product, and classifies the product history data set according to the working phases;
preprocessing the historical data set of the product to obtain an original data set;
Obtaining a circuit diagram of a product;
Extracting a circuit relation information network according to the product circuit diagram and the product information;
Acquiring a signal set corresponding to a working stage according to the circuit relation information network and the original data set;
And constructing the signal standard database according to the signal set corresponding to the working stage and the circuit relation information network.
Further, the system further comprises:
acquiring node information of each working stage according to the original data set;
obtaining product signal trend change information according to the node information of each working stage;
continuously traversing and comparing the product signal database according to the product signal trend change information to obtain a comparison result;
obtaining a predicted trend change according to the comparison result;
And when the predicted trend change meets a third preset condition, obtaining second reminding information.
Further, the building block 14 further comprises:
obtaining a confidence interval according to the product history data set;
obtaining a confidence data set according to the confidence interval and the product history data set;
and carrying out normalization processing on the confidence data set to obtain the original data set.
Further, the alert module 18 further includes:
Obtaining signal deviation information according to the first evaluation result, the product signal database and the signal set corresponding to the working stage;
Acquiring associated circuit information according to the signal deviation information and the circuit relation information network;
according to the associated circuit information, feedback information is obtained, and the feedback information is sent to the intelligent terminal;
Obtaining reply information based on the feedback information through the intelligent terminal, wherein the reply information comprises circuit detection information corresponding to the feedback information;
And obtaining a second evaluation result according to the circuit detection information and the circuit relation information network, wherein the second evaluation result comprises an evaluation problem, and feeding back the second evaluation result to the intelligent terminal.
Further, the alert module 18 further includes:
Obtaining debugging information and quality assurance information according to the second evaluation result, and feeding the debugging information and the quality assurance information back to the intelligent terminal;
And when the quality assurance information meets a fourth preset condition, acquiring a quality assurance service policy, and synchronously feeding back the quality assurance service policy to the intelligent terminal, wherein the quality assurance service policy comprises service selection information.
The various modifications and specific examples of the tracking service method of an electronic product in the first embodiment of fig. 1 are equally applicable to the tracking service system of an electronic product in this embodiment, and those skilled in the art will be aware of the implementation method of the tracking service system of an electronic product in this embodiment through the foregoing detailed description of the tracking service method of an electronic product, so that they will not be described in detail herein for brevity of description.
From the above description of the embodiments, it will be apparent to those skilled in the art that the present application may be implemented by means of software plus necessary general purpose hardware, or of course by means of special purpose hardware including application specific integrated circuits, special purpose CPUs, special purpose memories, special purpose components, etc. Generally, functions performed by computer programs can be easily implemented by corresponding hardware, and specific hardware structures for implementing the same functions can be varied, such as analog circuits, digital circuits, or dedicated circuits. But a software program implementation is a preferred embodiment for many more of the cases of the present application. Based on such understanding, the technical solution of the present application may be embodied essentially or in a part contributing to the prior art in the form of a software product stored in a readable storage medium, such as a floppy disk, a usb disk, a removable hard disk, a ROM, a RAM, a magnetic disk or an optical disk of a computer, etc., comprising several instructions for causing a computer device to execute the method according to the embodiments of the present application.
In the above embodiments, it may be implemented in whole or in part by software, hardware, firmware, or any combination thereof. When implemented in software, may be implemented in whole or in part in the form of a computer program product.
The computer program product includes one or more computer instructions. When loaded and executed on a computer, produces a flow or function in accordance with embodiments of the present application, in whole or in part. The computer may be a general purpose computer, a special purpose computer, a computer network, or other programmable apparatus. The computer instructions may be stored in or transmitted from a computer-readable storage medium, which may be magnetic media, (e.g., floppy disks, hard disks, magnetic tape), optical media (e.g., DVD), or semiconductor media (e.g., solid state disk (Solid STATE DISK, SSD)), among others.
It should be appreciated that reference throughout this specification to "one embodiment" or "an embodiment" means that a particular feature, structure or characteristic described in connection with the embodiment is included in at least one embodiment of the present application. Thus, the appearances of the phrases "in one embodiment" or "in an embodiment" in various places throughout this specification are not necessarily all referring to the same embodiment. Furthermore, the particular features, structures, or characteristics may be combined in any suitable manner in one or more embodiments. It should be understood that, in various embodiments of the present application, the sequence numbers of the foregoing processes do not mean the order of execution, and the order of execution of the processes should be determined by the functions and internal logic thereof, and should not constitute any limitation on the implementation process of the embodiments of the present application.
In addition, the terms "system" and "network" are often used interchangeably herein. The term "and/or" is merely an association relationship describing the associated object, and means that three relationships may exist, for example, a and/or B may mean that a exists alone, while a and B exist together, and B exists alone. In addition, the character "/" herein generally indicates that the front and rear associated objects are an "or" relationship.
It should be understood that in embodiments of the present application, "B corresponding to a" means that B is associated with a, from which B may be determined. It should also be understood that determining B from a does not mean determining B from a alone, but may also determine B from a and/or other information.
Those of ordinary skill in the art will appreciate that the elements and algorithm steps described in connection with the embodiments disclosed herein may be embodied in electronic hardware, in computer software, or in a combination of the two, and that the elements and steps of the examples have been generally described in terms of function in the foregoing description to clearly illustrate the interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
In summary, the foregoing description is only a preferred embodiment of the present application, and is not intended to limit the scope of the present application. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the protection scope of the present application.
Claims (8)
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| CN112214530A (en) * | 2020-09-30 | 2021-01-12 | 易显智能科技有限责任公司 | Social driving behavior tracking evaluation method and related device |
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| CA3041600A1 (en) * | 2019-04-25 | 2020-10-25 | The Dun & Bradstreet Corporation | Machine learning classifier for identifying internet service providers from website tracking |
| CN115207998B (en) * | 2021-04-14 | 2024-09-27 | 青岛特来电新能源科技有限公司 | A charging safety protection method, device, medium and display terminal |
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| CN112214530A (en) * | 2020-09-30 | 2021-01-12 | 易显智能科技有限责任公司 | Social driving behavior tracking evaluation method and related device |
| CN112181972A (en) * | 2020-11-02 | 2021-01-05 | 北京通付盾人工智能技术有限公司 | Data governance method, device and computer equipment based on big data |
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