Product fault processing method and device, equipment and storage medium
By detecting the passthrough rate of the server product, obtaining the fault description text and determining the fault category, and using simulation equipment to process it, the problem of untimely handling of server faults is solved, and timely response and efficient resolution are achieved.
Patent Information
- Application Number
- CN202510578073.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-05-06
- Publication Date
- 2025-08-15
AI Technical Summary
During the server production process, the department to which the fault is not determined in time, resulting in the failure handling in time, resulting in the data and information of different departments being out of synchronization, causing losses.
By detecting the product's pass rate, obtaining the fault description text, determining the fault category, and using simulation equipment to perform simulation processing, generating simulation results, and adjusting the parameter information of the production equipment.
It realizes timely allocation to the corresponding department for processing when there is a problem with the product to avoid losses and ensures the real-time and efficient coordinated processing of each department.
Smart Images
Figure CN120494274A_ABST
Abstract
Description
Technical Field
[0001] The present application relates to the technical field of server problem handling, and in particular to a product fault handling method, apparatus, device, and storage medium. Background Art
[0002] During server production, the production department faced numerous challenges. For example, when a server malfunctioned, it was difficult to determine which department was responsible, preventing timely assignment of the problem to the appropriate department. Furthermore, once the server malfunction was fixed, the information wasn't immediately synchronized with other departments, leading to data asynchrony between different departments.
[0003] Therefore, there is an urgent need for a product fault handling method that can promptly assign the server to the corresponding department for processing when a problem occurs, so as to solve the problem in time and avoid losses. Summary of the Invention
[0004] The present application provides a product fault handling method, apparatus, device and storage medium, which can promptly assign problems to corresponding departments for processing when problems occur on the server, thereby solving the problems in a timely manner and avoiding losses.
[0005] This application provides a product failure handling method, including:
[0006] If it is detected that the pass rate of a product is less than a threshold, obtaining at least one fault description text of the product and determining the fault category based on the at least one fault description text of the product; wherein the pass rate of the product is the pass rate of products produced by the production department at different stages; and the at least one fault description text of the product is used to describe the fault of the product;
[0007] Determine a department to be processed according to the fault category, perform simulation processing based on the fault description text of the product based on a simulation device corresponding to the department to be processed, and obtain a simulation result; wherein the department to be processed is associated with the fault category;
[0008] The simulation result is sent to a production device; wherein the production device is used to adjust parameter information of the product according to the simulation result; the production device is the device corresponding to the production department.
[0009] The present application also provides a product failure processing device, the device comprising:
[0010] a detection module configured to obtain at least one fault description text of the product if it is detected that the first pass rate of the product is less than a threshold, and determine a fault category based on the at least one fault description text of the product; wherein the first pass rate of the product is the pass rate of products produced by the production department at different stages; and the at least one fault description text of the product is used to describe the fault of the product;
[0011] a processing module, configured to determine a department to be processed based on the fault category, and perform simulation processing based on the fault description text of the product based on a simulation device corresponding to the department to be processed to obtain a simulation result; wherein the department to be processed is associated with the fault category;
[0012] A sending module is used to send the simulation results to a production device; wherein the production device is used to adjust the parameter information of the product according to the simulation results; the production device is the equipment corresponding to the production department.
[0013] The present application also provides an electronic device, comprising: a memory for storing a computer program; and a processor for implementing the steps of any of the above-mentioned product failure handling methods when executing the computer program.
[0014] The present application also provides a computer-readable storage medium, in which a computer program is stored. When the computer program is executed by a processor, the steps of any of the above-mentioned product failure handling methods are implemented.
[0015] The present application also provides a computer program product, including a computer program, which implements the steps of any of the above-mentioned product failure handling methods when executed by a processor.
[0016] Through the present application, due to the real-time detection of the production department, if it is detected that the pass rate of the products in the production department is less than the threshold, at least one fault description text of the product is obtained, and then the fault category is determined based on the at least one fault description text of the product. The department to be processed is then determined based on the fault category, and the simulation equipment is deployed in the department to be processed to handle the corresponding fault category. The simulation equipment in the department to be processed performs simulation processing based on the corresponding fault description text of the product to obtain a simulation result, and sends the simulation result to the production equipment. The production equipment adjusts the parameter information of the product based on the simulation result. By adopting the present technical solution, when a problem occurs with a product, it can be promptly assigned to the corresponding department for processing, thereby solving the problem in a timely manner and avoiding losses. BRIEF DESCRIPTION OF THE DRAWINGS
[0017] In order to more clearly illustrate the embodiments of the present application, the following is a brief introduction to the drawings required for use in the embodiments. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without any creative work.
[0018] Figure 1 A flowchart of a product failure handling method provided in an embodiment of the present application;
[0019] Figure 2 A flowchart of a product failure handling method provided in an embodiment of the present application;
[0020] Figure 3 A schematic diagram of the structure of a product fault handling device provided in an embodiment of the present application. DETAILED DESCRIPTION
[0021] The following will be combined with the accompanying drawings in the embodiments of this application to clearly and completely describe the technical solutions in the embodiments of this application. Obviously, the embodiments described are only part of the embodiments of this application, not all of them. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of this application.
[0022] It should be noted that, in the description of this application, the terms "comprises," "includes," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or device comprising a series of elements includes not only those elements, but also other elements not explicitly listed, or elements inherent to such process, method, article, or device. The terms "first," "second," etc., in this application are used to distinguish similar objects, and are not used to describe a particular order or sequence.
[0023] In order to enable those skilled in the art to better understand the present application, the present application is further described in detail below with reference to the accompanying drawings and specific implementation methods.
[0024] The embodiment of the present application provides a method for handling product failures. For details, please refer to Figure 1 The following is a flowchart of a product troubleshooting method. The specific steps are as follows:
[0025] S101. If it is detected that the pass rate of a product is less than a threshold, obtain at least one fault description text of the product, and determine the fault category based on the at least one fault description text of the product; wherein the pass rate of the product is the pass rate of products produced by the production department at different stages; and the at least one fault description text of the product is used to describe the fault of the product.
[0026] In one example, the method can be executed by a program built into the system. Specifically, the system includes multiple departments, each of which handles different tasks. The production department is responsible for producing products, and in this embodiment, the product can be a server. The pass rate is used to describe the pass rate of the product, and the threshold can be pre-set. At least one fault description text of the product can be multiple paragraphs of natural language text. For example, the fault description text of the product can be "Parameter A of the server is abnormal."
[0027] S102 , determining a department to be processed according to the fault category, performing simulation processing based on the fault description text of the corresponding product based on the simulation device corresponding to the department to be processed, and obtaining a simulation result; wherein the department to be processed is associated with the fault category.
[0028] In one example, because different departments handle different fault categories, it's necessary to first determine the department to which each fault category belongs. The fault category is then assigned to the corresponding department. Simulation equipment within the department then performs simulation based on the corresponding product's fault description. The simulation equipment can be a digital prototype or a digital simulator. The final simulation result is then determined, which can be a graph or a textual description.
[0029] S103. Send the simulation results to the production equipment; wherein the production equipment is used to adjust the parameter information of the product according to the simulation results; the production equipment is the equipment corresponding to the production department.
[0030] In one example, the simulation results are sent to a production device, and the production device adjusts parameter information of the product according to a curve graph or text description.
[0031] Through this application, due to the real-time detection of the production department, if it is detected that the pass rate of the products in the production department is less than the threshold, at least one fault description text of the product is obtained, and then the fault category is determined based on the at least one fault description text of the product. The department to be processed is then determined based on the fault category, and the simulation equipment is deployed in the department to be processed to handle the corresponding fault category. The simulation equipment in the department to be processed performs simulation processing based on the fault description text of the corresponding product, obtains the simulation results, sends the simulation results to the production equipment, and the production equipment adjusts the parameter information of the product based on the simulation results. By adopting this technical solution, when a problem occurs with a product, it can be promptly assigned to the corresponding department for processing, thereby solving the problem in a timely manner and avoiding losses.
[0032] The embodiment of the present application provides a method for handling product failures based on the above embodiment. For details, please refer to Figure 2 The following is a flowchart of a product troubleshooting method. The specific steps are as follows:
[0033] S201: If it is detected that the pass rate of a product is less than a threshold, obtain at least one fault description text of the product and determine at least one keyword in the at least one fault description text of the product.
[0034] In one example, a keyword is a word in a product fault description text. Each fault description text contains at least one keyword.
[0035] In one example, obtaining at least one fault description text of a product and determining at least one keyword in the at least one fault description text of the product include:
[0036] Acquire at least one fault description text of a product, and perform text cleaning on the at least one fault description text of the product to obtain a cleaned text;
[0037] Segment the cleaned text into at least one keyword.
[0038] In one example, text cleaning may include removing irrelevant characters, etc. The cleaned text is then segmented into words to obtain at least one keyword.
[0039] S202: Obtain the appearance frequency of at least one keyword, and sort according to the appearance frequency of at least one keyword to obtain a sorting result.
[0040] Specifically, each keyword may be sorted according to its frequency of occurrence, with keywords with higher frequency of occurrence being placed at the front and keywords with lower frequency of occurrence being placed at the back, to obtain a sorting result.
[0041] S203: Determine a preset number of keywords in the sorting results, and determine the preset number of keywords as target keywords.
[0042] In one example, the number of target keywords may be one or more. A preset number of keywords are selected from the sorting results and are determined as target keywords.
[0043] S204: Match the target keyword with the preset category to determine the fault category to which at least one fault description text of the product belongs.
[0044] In one example, the preset categories are fault categories summarized based on historical experience. The target keywords are matched with the text of the preset categories to determine the fault category to which the product fault description text belongs.
[0045] In one example, matching target keywords with preset categories to determine the fault category to which at least one fault description text of a product belongs includes:
[0046] Traverse the preset categories in the preset list and match the target keywords with the preset categories in turn;
[0047] If the match is successful, the preset category that is successfully matched is determined as the fault category to which at least one fault description text of the product belongs;
[0048] If the matching fails, the default fault category is determined to be the fault category to which at least one fault description text of the product belongs.
[0049] In one example, the preset categories are configured in a preset list. Each preset category in the preset list is traversed and the target keyword is matched against each preset category in turn. If a match is successful, the matching preset category is determined as the fault category to which the corresponding product fault description text belongs. If a match fails, the fault category is determined to be the default fault category.
[0050] S205 , determining a department to be processed according to the fault category, performing simulation processing based on the fault description text of the corresponding product based on the simulation device corresponding to the department to be processed, and obtaining a simulation result; wherein the department to be processed is associated with the fault category.
[0051] In an example, this step can refer to the content of step S102 and will not be repeated here.
[0052] S206. Send the simulation results to the production equipment; wherein the production equipment is used to adjust the parameter information of the product according to the simulation results; the production equipment is the equipment corresponding to the production department.
[0053] In an example, this step can refer to the content of step S103 and will not be repeated here.
[0054] S207 , receiving the adjusted parameter information, and synchronizing the adjusted parameter information to the preset department; wherein the adjusted parameter information is obtained by the production department after adjusting the parameter information of the product according to the simulation results.
[0055] In one example, the preset department is a department in the system. The adjusted parameter information may be aging time ±5%.
[0056] The adjusted parameter information needs to be synchronized to the preset department so that the preset department can ensure real-time and correctness when using the parameter information.
[0057] In one example, the method further includes:
[0058] The adjusted parameter information is stored in a preset database.
[0059] In one example, the preset database can be used by the user for subsequent calls. The preset database can be the time series database InfluxDB, which uses its efficient time series data processing capabilities and flexible query functions to facilitate subsequent data analysis and processing.
[0060] For example, when a similar fault occurs, the adjusted parameter information in the preset database can be directly called without the need for the production department to adjust it again, saving system resources.
[0061] In one example, the method for adjusting parameter information is synchronized to a preset department and a preset database. The advantage of this setting is that when similar failures occur, the method in the preset database can be directly referenced, which improves processing efficiency and saves system resources.
[0062] In one example, the method further includes:
[0063] Obtain historical production capacity information of the product and input the historical production capacity information of the product into the preset model;
[0064] Based on the preset model and the product's historical production capacity information, the product's production capacity information within the preset time period is predicted;
[0065] Determine the target parameter information of the product based on the production capacity information of the product within the preset time period in the future;
[0066] Send the target parameter information of the product to the production equipment so that the production equipment adjusts the real-time parameter information of the product according to the target parameter information of the product.
[0067] In one example, the preset model can be a time series model. Specifically, the historical production capacity information of the product is decomposed into trend items, seasonal items and residual items to better analyze and predict production capacity fluctuations. In this embodiment, the historical production capacity information of the product can be obtained from historical records, and the amount of information in the historical production capacity information can be preset by the user. The future preset time period can be the next six months or the next ten days, and specifically, it can be determined according to the production cycle of the product. The preset model determines the production capacity information of the product in the future preset time period based on the historical production capacity information of the product and the historical development of the product. Then, the target parameter information of the product in the production stage of the product is determined based on the production capacity information of the product in the future preset time period, and the target parameter information of the product is sent to the production equipment so that the production equipment adjusts the real-time parameter information of the product according to the target parameter information of the product.
[0068] The advantage of this setting is that it can avoid the situation where product abnormalities are discovered during the inspection phase after the product production phase is completed, and timely adjustments can be made during the product production phase, reducing the workload of adjusting production equipment.
[0069] An embodiment of the present application provides a product fault processing method, which includes: if it is detected that the pass rate of a product is less than a threshold, obtaining at least one fault description text of the product, and determining at least one keyword in the at least one fault description text of the product. Obtaining the frequency of occurrence of at least one keyword, sorting according to the frequency of occurrence of at least one keyword, and obtaining a sorting result. Determining a preset number of keywords in the sorting result, and determining the preset number of keywords as target keywords. Matching the target keywords with preset categories to determine the fault category to which the at least one fault description text of the product belongs. Determining the department to be processed based on the fault category, and performing simulation processing based on the corresponding product fault description text based on the simulation equipment corresponding to the department to be processed to obtain a simulation result. Sending the simulation result to the production equipment, receiving the adjusted parameter information, and synchronizing the adjusted parameter information to the preset department. The adoption of this technical solution ensures that the collaborative processing between departments can be carried out in real time and efficiently, thereby improving the response speed and problem solving efficiency.
[0070] The embodiment of the present application also provides a product failure processing device, for details, please refer to Figure 3 FIG. 3 is a schematic diagram of a device for handling product failures. The device 30 includes:
[0071] The detection module 301 is used to obtain at least one fault description text of the product if it is detected that the pass rate of the product is less than a threshold value, and determine the fault category based on the at least one fault description text of the product; wherein the pass rate of the product is the pass rate of the products produced by the production department at different stages; the at least one fault description text of the product is used to describe the fault of the product.
[0072] The processing module 302 is used to determine the department to be processed according to the fault category, and perform simulation processing based on the fault description text of the corresponding product based on the simulation device corresponding to the department to be processed to obtain a simulation result; wherein the department to be processed is associated with the fault category.
[0073] The sending module 303 is used to send the simulation results to the production equipment; wherein the production equipment is used to adjust the parameter information of the product according to the simulation results; the production equipment is the equipment corresponding to the production department.
[0074] In one example, the detection module 301 is configured to:
[0075] At least one fault description text of a product is obtained, and at least one keyword in the at least one fault description text of the product is determined.
[0076] Obtain the occurrence frequency of at least one keyword, and sort according to the occurrence frequency of at least one keyword to obtain a sorting result.
[0077] A preset number of keywords are determined in the sorting results, and the preset number of keywords are determined as target keywords.
[0078] The target keyword is matched with the preset category to determine the fault category to which at least one fault description text of the product belongs.
[0079] In one example, the detection module 301 is configured to:
[0080] At least one fault description text of a product is obtained, and text cleaning is performed on the at least one fault description text of the product to obtain a cleaned text; and the cleaned text is segmented into at least one keyword.
[0081] In one example, the detection module 301 is configured to:
[0082] Traverse the preset categories in the preset list and match the target keywords with the preset categories in turn; if the match is successful, the successfully matched preset category is determined as the fault category to which at least one fault description text of the product belongs; if the match fails, the default fault category is determined as the fault category to which at least one fault description text of the product belongs.
[0083] In one example, the apparatus 30 further includes:
[0084] The receiving module 304 is used to receive the adjusted parameter information and synchronize the adjusted parameter information to the preset department; wherein the adjusted parameter information is obtained after the production department adjusts the parameter information of the product according to the simulation results.
[0085] In one example, the apparatus 30 further includes:
[0086] The storage module 305 is used to store the adjusted parameter information in a preset database.
[0087] In one example, the apparatus 30 further includes:
[0088] The input module 306 is used to obtain historical production capacity information of the product and input the historical production capacity information of the product into a preset model.
[0089] The prediction module 307 is used to predict the production capacity information of the product within a preset time period in the future based on a preset model and according to the historical production capacity information of the product.
[0090] The determination module 308 is configured to determine target parameter information of the product based on the production capacity information of the product within a preset time period in the future.
[0091] The adjustment module 309 is configured to send target parameter information of the product to the production equipment, so that the production equipment adjusts the real-time parameter information of the product according to the target parameter information of the product.
[0092] For the description of the features in the embodiment corresponding to the device, please refer to the relevant description of the embodiment corresponding to the product fault handling method, which will not be repeated here.
[0093] An embodiment of the present application further provides an electronic device, comprising a memory and a processor, wherein the memory stores a computer program, and the processor is configured to run the computer program to execute the steps in any of the above-mentioned product failure handling method embodiments.
[0094] An embodiment of the present application further provides a computer-readable storage medium, in which a computer program is stored, wherein the computer program is configured to execute the steps of any of the above-mentioned product failure handling method embodiments when running.
[0095] In an exemplary embodiment, the computer-readable storage medium may include, but is not limited to, various media that can store computer programs, such as a USB flash drive, a read-only memory (ROM), a random access memory (RAM), a mobile hard disk, a magnetic disk, or an optical disk.
[0096] An embodiment of the present application further provides a computer program product, which includes a computer program. When the computer program is executed by a processor, the steps in any of the above-mentioned product fault handling method embodiments are implemented as follows:
[0097] If it is detected that the product's pass rate is less than a threshold, at least one fault description text of the product is obtained, and the fault category is determined based on the at least one fault description text of the product; wherein the product's pass rate is the pass rate of products produced by the production department at different stages; and the at least one fault description text of the product is used to describe the product's fault;
[0098] Determine the department to be processed based on the fault category, perform simulation processing based on the fault description text of the corresponding product based on the simulation device corresponding to the department to be processed, and obtain a simulation result; wherein the department to be processed is associated with the fault category;
[0099] The simulation results are sent to a production device; wherein the production device is used to adjust the parameter information of the product according to the simulation results; the production device is the equipment corresponding to the production department. The embodiment of the present application also provides another computer program product, including a non-volatile computer-readable storage medium, the non-volatile computer-readable storage medium storing a computer program, and when the computer program is executed by a processor, it implements the steps of any of the above-mentioned product fault handling method embodiments, specifically as follows:
[0100] If it is detected that the product's pass rate is less than a threshold, at least one fault description text of the product is obtained, and the fault category is determined based on the at least one fault description text of the product; wherein the product's pass rate is the pass rate of products produced by the production department at different stages; and the at least one fault description text of the product is used to describe the product's fault;
[0101] Determine the department to be processed based on the fault category, perform simulation processing based on the fault description text of the corresponding product based on the simulation device corresponding to the department to be processed, and obtain a simulation result; wherein the department to be processed is associated with the fault category;
[0102] Send the simulation results to the production equipment; wherein the production equipment is used to adjust the parameter information of the product according to the simulation results; the production equipment is the equipment corresponding to the production department. Professionals may further realize 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. Professionals and technicians 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.
[0103] The above is a detailed introduction to a product fault handling method provided by the present application. Specific examples are used herein to illustrate the principles and implementation methods of the present application. The description of the above embodiments is only used to help understand the method and core ideas of the present application. It should be pointed out that for ordinary technicians in this technical field, without departing from the principles of the present application, several improvements and modifications can be made to the present application, and these improvements and modifications also fall within the scope of protection of the claims of the present application.
Claims
1. A product failure handling method, characterized in that: The method comprises: If it is detected that the pass rate of a product is less than a threshold, obtaining at least one fault description text of the product and determining the fault category based on the at least one fault description text of the product; wherein the pass rate of the product is the pass rate of products produced by the production department at different stages; and the at least one fault description text of the product is used to describe the fault of the product; Determine a department to be processed according to the fault category, perform simulation processing based on the fault description text of the corresponding product based on the simulation device corresponding to the department to be processed, and obtain a simulation result; wherein the department to be processed is associated with the fault category; The simulation result is sent to a production device; wherein the production device is used to adjust parameter information of the product according to the simulation result; the production device is the device corresponding to the production department.
2. The method according to claim 1, characterized in that The obtaining of at least one fault description text of the product and determining a fault category according to the at least one fault description text of the product includes: Obtain at least one fault description text of the product, and determine at least one keyword in the at least one fault description text of the product; Obtaining the occurrence frequency of the at least one keyword, and sorting according to the occurrence frequency of the at least one keyword to obtain a sorting result; Determining a preset number of keywords in the sorting results, and determining the preset number of keywords as target keywords; The target keyword is matched with a preset category to determine the fault category to which at least one fault description text of the product belongs.
3. The method according to claim 2, characterized in that The obtaining of at least one fault description text of the product and determining at least one keyword in the at least one fault description text of the product includes: Acquire at least one fault description text of the product, and perform text cleaning on the at least one fault description text of the product to obtain a cleaned text; The cleaned text is segmented into the at least one keyword.
4. The method according to claim 2, characterized in that The matching of the target keyword with a preset category to determine the fault category to which the at least one fault description text of the product belongs includes: Traversing the preset categories in the preset list, and matching the target keyword with the preset categories in sequence; If the match is successful, the preset category that is successfully matched is determined as the fault category to which the at least one fault description text of the product belongs; If the matching fails, the default fault category is determined to be the fault category to which the at least one fault description text of the product belongs.
5. The method according to claim 1, characterized in that The method further comprises: Receive adjusted parameter information and synchronize the adjusted parameter information to a preset department; wherein the adjusted parameter information is obtained by the production department after adjusting the parameter information of the product according to the simulation result.
6. The method according to claim 5, characterized in that The method further comprises: The adjusted parameter information is stored in a preset database.
7. The method according to any one of claims 1 to 6, characterized in that The method further comprises: Obtaining historical production capacity information of a product, and inputting the historical production capacity information of the product into a preset model; Based on the preset model and according to the historical production capacity information of the product, predict the production capacity information of the product within a preset time period in the future; Determine target parameter information of the product based on the production capacity information of the product within a preset time period in the future; The target parameter information of the product is sent to the production equipment, so that the production equipment adjusts the real-time parameter information of the product according to the target parameter information of the product.
8. A product failure handling device, characterized in that: The device comprises: a detection module configured to obtain at least one fault description text of the product if it is detected that the first pass rate of the product is less than a threshold, and determine a fault category based on the at least one fault description text of the product; wherein the first pass rate of the product is the pass rate of products produced by the production department at different stages; and the at least one fault description text of the product is used to describe the fault of the product; a processing module, configured to determine a department to be processed based on the fault category, and perform simulation processing based on the fault description text of the corresponding product using a simulation device corresponding to the department to be processed to obtain a simulation result; wherein the department to be processed is associated with the fault category; A sending module is used to send the simulation results to a production device; wherein the production device is used to adjust the parameter information of the product according to the simulation results; the production device is the equipment corresponding to the production department.
9. An electronic device, characterized in that: include: memory for storing computer programs; A processor, configured to implement the steps of the product failure handling method according to any one of claims 1 to 7 when executing the computer program.
10. A computer-readable storage medium, characterized in that The computer-readable storage medium stores a computer program, wherein when the computer program is executed by a processor, the steps of the product failure handling method according to any one of claims 1 to 7 are implemented.