Equipment auxiliary maintenance method and device, electronic equipment and readable storage medium

Abstract

The invention discloses an equipment auxiliary maintenance method and device, electronic equipment and a readable storage medium. An equipment auxiliary maintenance interface is displayed, and maintenance demand information input by a user is received through the equipment auxiliary maintenance interface; querying an equipment knowledge base, and obtaining a related maintenance document corresponding to the maintenance demand information; according to the maintenance demand information, a corresponding information processing strategy is determined, and the information processing strategy comprises at least one of document retrieval, fault processing, data updating and information summarization; and processing the related maintenance document according to the information processing strategy to obtain target auxiliary maintenance information, and displaying the target auxiliary maintenance information on the equipment auxiliary maintenance interface. According to the invention, equipment maintenance can be assisted in multiple dimensions.

Description

Technical Field

[0001] The present invention relates to the technical field of equipment assisted maintenance, and in particular to an equipment assisted maintenance method, device, electronic equipment and readable storage medium. Background Art

[0002] With the development of industrialization, the scale of industrial equipment is becoming larger and larger, and the technology is becoming more and more complex. Large enterprises often face the problem of managing and maintaining production equipment. When users encounter problems with display equipment, they often need to consult paper manuals or visit official websites to obtain maintenance information to help them maintain the equipment. In order to improve efficiency, some companies will provide a question-and-answer platform based on an internal equipment knowledge base, but these platforms can only perform some simple knowledge retrieval and cannot provide multi-dimensional equipment maintenance assistance. Summary of the invention

[0003] The embodiments of the present invention provide a device-assisted maintenance method, apparatus, electronic device, and readable storage medium, which are intended to assist users in performing device maintenance from multiple dimensions.

[0004] In a first aspect, an embodiment of the present invention provides an equipment auxiliary maintenance method, comprising:

[0005] Displaying an equipment auxiliary maintenance interface, and receiving maintenance requirement information input by a user through the equipment auxiliary maintenance interface;

[0006] Query the equipment knowledge base to obtain relevant maintenance documents corresponding to the maintenance requirement information;

[0007] Determine a corresponding information processing strategy according to the maintenance requirement information, wherein the information processing strategy includes at least one of document retrieval, fault handling, data update and information aggregation;

[0008] According to the information processing strategy, the relevant maintenance documents are processed to obtain target auxiliary maintenance information, and the target auxiliary maintenance information is displayed on the equipment auxiliary maintenance interface.

[0009] In a second aspect, an embodiment of the present invention provides an equipment auxiliary maintenance device, the equipment auxiliary maintenance device comprising:

[0010] A receiving module, used to display an equipment auxiliary maintenance interface and receive maintenance requirement information input by a user through the equipment auxiliary maintenance interface;

[0011] An acquisition module is used to query the equipment knowledge base to obtain relevant maintenance documents corresponding to the maintenance requirement information;

[0012] A determination module, configured to determine a corresponding information processing strategy according to the maintenance requirement information, wherein the information processing strategy includes at least one of document retrieval, fault handling, data update, and information aggregation;

[0013] The output module is used to process the relevant maintenance documents according to the information processing strategy, obtain target auxiliary maintenance information, and display the target auxiliary maintenance information on the equipment auxiliary maintenance interface.

[0014] In a third aspect, an embodiment of the present invention further provides an electronic device, comprising a processor and a memory, wherein the memory stores a computer program, and when the computer program is executed by the processor, the processor executes the steps of any one of the equipment assisted maintenance methods provided in the embodiments of the present invention.

[0015] In a fourth aspect, an embodiment of the present invention further provides a computer-readable storage medium, which includes a computer program. When the computer program runs on an electronic device, the computer program is used to enable the electronic device to execute the steps of any equipment-assisted maintenance method provided by the embodiment of the present invention.

[0016] The present invention first displays an equipment-assisted maintenance interface, receives maintenance requirement information input by a user through the equipment-assisted maintenance interface; queries the equipment knowledge base to obtain relevant maintenance documents corresponding to the maintenance requirement information; determines a corresponding information processing strategy based on the maintenance requirement information, the information processing strategy including at least one of document retrieval, fault handling, data update, and information aggregation; processes the relevant maintenance documents according to the information processing strategy to obtain target auxiliary maintenance information, and displays the target auxiliary maintenance information on the equipment-assisted maintenance interface. By receiving maintenance requirement information through the equipment-assisted maintenance interface, and obtaining relevant maintenance documents corresponding to the maintenance requirement information from the equipment knowledge base, and processing relevant maintenance documents according to the information processing strategy corresponding to the maintenance requirement information, at least one auxiliary dimension of document retrieval, fault handling, data update, and information aggregation can be realized, and the corresponding target auxiliary maintenance information can be obtained and displayed on the equipment-assisted maintenance interface, so as to assist users in equipment maintenance in multiple dimensions. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative work.

[0018] Figure 1 It is a flowchart of an embodiment of the equipment auxiliary maintenance method provided in an embodiment of the present invention;

[0019] Figure 2 is a schematic diagram of an auxiliary maintenance scenario involving the equipment auxiliary maintenance method provided in an embodiment of the present invention;

[0020] Figure 3 is a schematic diagram of a fault handling scenario involved in the device assisted maintenance method provided in an embodiment of the present invention;

[0021] Figure 4 is a schematic structural diagram of an equipment auxiliary maintenance device provided in an embodiment of the present invention;

[0022] Figure 5 It is a schematic diagram of the structure of an electronic device provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0023] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments in the present invention, all other embodiments obtained by those skilled in the art without creative work are within the scope of protection of the present invention. At the same time, in the description of the embodiments of the present invention, the terms "first", "second", etc. are only used to distinguish the descriptions and cannot be understood as indicating or implying relative importance. Therefore, the features defined as "first" and "second" may explicitly or implicitly include one or more features. In the description of the embodiments of the present invention, the meaning of "multiple" is two or more, unless otherwise clearly and specifically defined.

[0024] Embodiments of the present invention provide a device-assisted maintenance method, a device, an electronic device, and a readable storage medium.

[0025] Specifically, this embodiment will be described from the perspective of an equipment-assisted maintenance device, which can be integrated into an electronic device, that is, the equipment-assisted maintenance method of the embodiment of the present invention can be executed by the electronic device.

[0026] The following is a detailed description in conjunction with the accompanying drawings. In this embodiment, the execution subject is an electronic device as an example. It should be noted that the description order of the following embodiments is not intended to limit the preferred order of the embodiments. Although the logical order is shown in the flow chart, in some cases, the steps shown or described may be performed in an order different from that shown in the accompanying drawings.

[0027] With the development of industrialization, the scale of industrial equipment is becoming larger and larger, and the technology is becoming more and more complex. Large enterprises often face the problem of managing and maintaining production equipment. When users encounter problems with display equipment, they often need to consult paper manuals or visit official websites to obtain maintenance information to help them maintain the equipment. In order to improve efficiency, some companies will provide a question-and-answer platform based on an internal equipment knowledge base, but these platforms can only perform some simple maintenance questions and answers and cannot provide multi-dimensional equipment maintenance assistance.

[0028] In order to solve the above problems, the present invention discloses an equipment auxiliary maintenance method, please refer to Figure 1 The specific process of the equipment auxiliary maintenance method can be as follows: Step S10 to Step S40, wherein:

[0029] Step S10, displaying a device auxiliary maintenance interface, and receiving maintenance requirement information input by a user through the device auxiliary maintenance interface;

[0030] In this embodiment, a device-assisted maintenance interface is provided. The device-assisted maintenance interface can be displayed on the screen of a terminal device such as a mobile phone or a computer. The device-assisted maintenance interface is used to interact with the user and assist the user in performing device maintenance. Maintenance requirement information refers to information that the user inputs through the device-assisted maintenance interface based on his or her need to perform device maintenance operations. The maintenance requirement information can represent the device maintenance operations that the user wants to perform. The maintenance requirement information can be information such as text, images, and voice. The device-assisted maintenance interface can be a chat window. The user can input maintenance requirement information in the device-assisted maintenance interface through various types of output methods, and the device-assisted maintenance interface receives the maintenance requirement information input by the user.

[0031] Maintenance refers to the operations required to ensure the normal operation of the equipment during its life cycle, including the maintenance of the equipment itself and the maintenance of equipment-related data. The maintenance requirement information can reflect the maintenance operations that users want to perform on the target equipment, and then assist users to complete the maintenance operations based on the maintenance requirement information.

[0032] Step S20, querying the equipment knowledge base to obtain relevant maintenance documents corresponding to the maintenance requirement information;

[0033] In this embodiment, the device knowledge base is queried and relevant maintenance documents corresponding to the maintenance requirement information are obtained from the device knowledge base. The relevant maintenance documents obtained at this time are an initial screening of the device knowledge base based on the maintenance requirement information. Subsequently, the relevant maintenance documents need to be further refined to obtain target auxiliary maintenance information to assist users in maintaining the equipment.

[0034] Step S30, determining a corresponding information processing strategy according to the maintenance requirement information, wherein the information processing strategy includes at least one of document retrieval, fault handling, data update and information aggregation;

[0035] In this embodiment, the maintenance requirement information is the information input by the user to describe his or her requirements. By performing semantic analysis based on the maintenance requirements, it can be determined that the user wants to perform a target maintenance operation. Different maintenance operations require different information to be obtained, the information to be processed, and the processing results to be obtained. Therefore, after determining that the user wants to perform a target maintenance operation, the information processing strategy pre-associated with the target maintenance operation can be obtained.

[0036] In this embodiment, the information processing strategy corresponding to the maintenance demand includes at least one of document retrieval, fault handling, data update and information aggregation. Document retrieval means that when a user needs maintenance operation, the relevant equipment knowledge of the maintenance operation to be performed can be found through document retrieval to assist the user to perform the maintenance operation accurately. Figure 2 ,Fault handling means that when a device fails, the fault can be analyzed through fault handling to obtain the cause and solution of the fault, so as to assist the user to accurately repair the device and other maintenance operations. Data update means that the data in the device knowledge base can be updated so that more accurate maintenance operations can be performed based on the device knowledge base. Information aggregation means summarizing the relevant maintenance documents according to the needs to obtain relevant summary results, so that users can better understand the equipment and perform maintenance operations better.

[0037] Step S40: Process the relevant maintenance documents according to the information processing strategy to obtain target auxiliary maintenance information, and display the target auxiliary maintenance information on the equipment auxiliary maintenance interface.

[0038] In this embodiment, the information processing strategy has been determined, and the relevant maintenance documents are processed based on the information processing data, so that the corresponding processing results can be obtained as the target auxiliary maintenance information, wherein the target auxiliary maintenance information corresponding to the document retrieval can be the document retrieved by the document, the target auxiliary maintenance information corresponding to the fault processing can be the fault analysis and suggestions, the target auxiliary maintenance information corresponding to the data update can be the update status, update time and other update information, and the target auxiliary maintenance information corresponding to the information summary can be the summary result, such as a report, a chart, etc. After obtaining the target auxiliary maintenance information, the target auxiliary maintenance information is displayed on the equipment auxiliary maintenance interface, so that the user can view the target auxiliary maintenance information corresponding to the maintenance requirement information input by the user, so that the maintenance requirement can be completed based on the target auxiliary maintenance information.

[0039] In the technical solution disclosed in this embodiment, an equipment-assisted maintenance interface is displayed, and maintenance requirement information input by a user is received through the equipment-assisted maintenance interface; the equipment knowledge base is queried to obtain relevant maintenance documents corresponding to the maintenance requirement information; a corresponding information processing strategy is determined based on the maintenance requirement information, and the information processing strategy includes at least one of document retrieval, fault handling, data update, and information aggregation; according to the information processing strategy, the relevant maintenance documents are processed to obtain target auxiliary maintenance information, and the target auxiliary maintenance information is displayed on the equipment-assisted maintenance interface. By receiving maintenance requirement information through the equipment-assisted maintenance interface, and obtaining relevant maintenance documents corresponding to the maintenance requirement information from the equipment knowledge base, and processing relevant maintenance documents according to the information processing strategy corresponding to the maintenance requirement information, document retrieval, fault handling, data update, and information aggregation can be implemented, and the corresponding target auxiliary maintenance information can be obtained and displayed on the equipment-assisted maintenance interface, so as to assist users in equipment maintenance in multiple dimensions.

[0040] In one embodiment, querying a device knowledge base to obtain relevant maintenance documents corresponding to the maintenance requirement information includes:

[0041] Calculating the similarity between the maintenance requirement information and each piece of knowledge in the equipment knowledge base;

[0042] Determining target knowledge from the knowledge according to the similarity;

[0043] The related maintenance document is determined based on the knowledge document where the target knowledge is located.

[0044] In this embodiment, the maintenance demand information can be segmented according to the preset segmentation strategy to obtain keywords corresponding to the maintenance demand information. The keywords can be entity words in the maintenance demand information, such as viewing the manual of the mechanical arm, and the entity words that can be obtained include "view", "mechanical arm", and "manual". The keywords corresponding to the maintenance demand information are vectorized to obtain the first vector corresponding to the maintenance demand information. For each piece of knowledge in the equipment knowledge base, the second vector corresponding to each piece of knowledge is obtained. The similarity between the first vector corresponding to the maintenance demand information and the second vector corresponding to each piece of knowledge is calculated by using similarity calculation methods such as surface similarity and information entropy similarity. Then, according to the similarity corresponding to each piece of information, the target knowledge associated with the maintenance demand information is determined from multiple pieces of knowledge. Since the target knowledge is associated with the maintenance demand information, the knowledge document where the target knowledge is located can be determined as a related maintenance document. By calculating the similarity, the related maintenance document can be initially screened out from the equipment knowledge base, which is convenient for subsequent information processing and provides the accuracy and efficiency of obtaining the target auxiliary maintenance information.

[0045] In one embodiment, the processing of the relevant maintenance documents according to the information processing strategy to obtain target auxiliary maintenance information includes:

[0046] If the information processing strategy includes the document retrieval, then obtaining the document information to be retrieved from the maintenance requirement information, wherein the document information includes at least one of a document name, a document content, a document address, and a document description;

[0047] Filtering out a target maintenance document from the relevant maintenance documents based on the document information;

[0048] The target maintenance document or the viewing interface corresponding to the target maintenance document is used as target auxiliary maintenance information.

[0049] In this embodiment, if the information processing strategy includes document retrieval, the document information to be retrieved is obtained from the maintenance requirement information according to semantic analysis or preset keywords. The document information to be retrieved is the relevant information of the document that the user wants to retrieve, including at least one of the document name, document content, document address, and document description. After obtaining the document information, the target maintenance document that meets the document information is screened out from the relevant maintenance documents. Since the relevant maintenance documents have been preliminarily screened based on the maintenance requirement information, the target maintenance document can be quickly and accurately screened out from the relevant maintenance documents, and the target maintenance document or the viewing interface corresponding to the target maintenance document is used as the target auxiliary maintenance information, so that the target auxiliary maintenance information includes text, pictures, etc. in the document, and the target maintenance document can be directly viewed or downloaded based on the target auxiliary maintenance information, or the target maintenance document can be viewed or downloaded by jumping to the storage location of the target maintenance document through the viewing interface, thereby realizing document retrieval to facilitate users to complete their equipment maintenance operations.

[0050] In one embodiment, the step of processing the target maintenance document according to the information processing strategy to obtain target auxiliary maintenance information includes:

[0051] If the information processing strategy includes the information summary, then based on obtaining summary prompt words from the maintenance requirement information, the relevant maintenance documents and the summary prompt words are input into a pre-trained large language model to obtain a summary result;

[0052] The summary result is used as the target auxiliary maintenance information.

[0053] In this embodiment, the information processing strategy includes information aggregation, which generates a document, chart, etc. that does not exist in the equipment knowledge base based on the equipment maintenance operation that the user wants to perform. Based on the maintenance requirement information, a summary prompt word is obtained, and the summary prompt word can indicate the object that the user wants to summarize, as well as the information such as the summary result. For example, when the maintenance record is to be summarized, the corresponding summary prompt words that can be extracted from the maintenance requirement information include fault phenomenon, fault analysis, solution, etc. The relevant maintenance documents and summary prompt words are input into the pre-trained large language model. Large language models (LLMs) refer to deep learning models with billions or even hundreds of billions of parameters that have been trained with a large amount of data, and are mainly used to process natural language understanding (NLP) and generation tasks. These models understand and generate natural language through deep learning and neural network technology, especially the Transformer architecture. The summary prompt words can be processed by the large language model, and the information in the relevant maintenance documents is summarized based on the summary prompt words, and the desired summary results are obtained.

[0054] The summary results may be major accident reports and statistical results. For example, for long-standing or relatively serious faults, the corresponding maintenance records are obtained for summary analysis and summarized into major accident reports. For faults occurring in a certain equipment and the number of faults, the failure statistics of the equipment are summarized.

[0055] In this way, a summary result can be generated through a large language model and summary prompt words, which is convenient for users to count and analyze relevant information of the device and can assist users in maintaining the device.

[0056] In one embodiment, the processing of the relevant maintenance documents according to the information processing strategy to obtain target auxiliary maintenance information includes:

[0057] If the information processing strategy includes the data update, then obtaining the data to be updated and the target data corresponding to the data to be updated from the maintenance requirement information;

[0058] Based on the data to be updated, searching the relevant maintenance documents, determining a target update address in the device knowledge base;

[0059] The target data is updated to the device knowledge base based on the target update address, and update information is obtained as the target auxiliary maintenance information.

[0060] In this embodiment, the information processing strategy includes data update, which can facilitate the update of data in the device knowledge base and ensure the validity of the data in the device knowledge base. If it can be determined that the corresponding information processing strategy includes data update based on the maintenance requirement information, the data to be updated and the target data corresponding to the data to be updated can be obtained from the maintenance requirement information. The data to be updated is queried in the relevant maintenance documents. Since the relevant maintenance documents have been preliminarily screened based on the maintenance requirement information, the target update address corresponding to the data to be updated can be quickly and accurately determined from the relevant maintenance documents. The target data is updated to the device knowledge base based on the target update address, thereby realizing the update of the device knowledge base, and the corresponding update information such as update time, update status, and whether the update is successful is obtained, which is displayed on the device auxiliary maintenance interface as target auxiliary maintenance information, so that the user can know the data update status and assist the user in adjusting the device related information.

[0061] In one embodiment, the processing of the relevant maintenance documents according to the information processing strategy to obtain target auxiliary maintenance information includes:

[0062] If the information processing strategy includes the fault processing, acquiring fault information from the maintenance requirement information;

[0063] Based on the fault information and the related maintenance documents, a fault analysis report is obtained as the target auxiliary maintenance information.

[0064] In this embodiment, if the information processing strategy includes fault handling, it indicates that the maintenance demand information contains fault information about the faulty equipment. The fault information may be information such as a fault code and a fault phenomenon. The relevant maintenance documents determined according to the maintenance demand information generally include maintenance-related documents, such as product manuals and maintenance records. The fault condition of the equipment can be determined through the fault information. In some embodiments, when the fault information contains a fault code, the product manual can be quickly retrieved according to the fault code to obtain the associated fault cause and solution to form a fault analysis report. When the fault information contains a fault phenomenon, the fault description in the product manual and maintenance record can be located according to the fault phenomenon, and the fault cause and solution associated with the fault description can be obtained to form a fault analysis report. The fault analysis report is used as the target auxiliary maintenance information and displayed on the equipment auxiliary maintenance interface, so that the user can view the analysis report, understand the fault cause and solution, and assist the user in completing the maintenance of the faulty equipment.

[0065] In one embodiment, based on the fault information and the related maintenance documents, a fault analysis report is obtained as the target auxiliary maintenance information, including:

[0066] Acquire first fault knowledge corresponding to the fault information in the relevant maintenance document;

[0067] Based on the fault information, query the Internet terminal to obtain corresponding second fault knowledge;

[0068] The first fault knowledge and the second fault knowledge are input into a pre-trained large language model, and the fault analysis report is summarized to serve as the target auxiliary maintenance information.

[0069] In this embodiment, the Internet and the local equipment knowledge base can also be combined to perform fault analysis, match the fault information with the relevant maintenance documents again, and locate the first fault knowledge associated with the fault information in the relevant maintenance documents. Based on the fault information, the Internet is searched to obtain the second fault knowledge associated with the fault information, thus obtaining the fault knowledge in the two-dimensional knowledge base. The first fault knowledge and the second fault knowledge are input into the pre-trained large language model for aggregation, and the fault cause and solution corresponding to the fault information are sorted out, and a fault analysis report is generated as the target auxiliary maintenance information for output.

[0070] For better understanding, an equipment auxiliary maintenance assistant is provided, which relies on the local equipment knowledge base and the Internet, and interacts with users to provide auxiliary maintenance services. The specific functions that can be realized include fault code query, fault analysis, maintenance record Q&A, spare parts query, preservation query, instruction book query, drawing query, major accident report query, operation video query, etc. Various queries can be implemented based on document query and equipment knowledge base in information processing strategy, fault analysis can be implemented based on fault processing in information processing strategy, and maintenance record Q&A can be implemented based on information aggregation in information processing strategy. Figure 3 The device auxiliary maintenance assistant is used for fault handling. After a fault occurs, the user sends fault information such as fault phenomenon and fault code to the device auxiliary maintenance assistant. The maintenance assistant obtains the first fault knowledge corresponding to the fault information from the relevant maintenance documents in the local equipment knowledge base, and obtains the second fault knowledge corresponding to the fault information from the Internet. The first fault knowledge and the second fault knowledge are summarized to obtain a fault analysis report to assist the user in maintenance.

[0071] In this way, by combining the Internet with relevant maintenance documents in the local equipment knowledge base, we can obtain equipment knowledge of different dimensions and summarize them through a large language model. This can enable us to obtain fault analysis reports more efficiently and accurately to assist in maintenance, thereby improving user maintenance efficiency.

[0072] The local device knowledge base stores device-related documents, such as product manuals, maintenance records, device-related videos, drawings, spare parts library files, and major accident reports, etc. The Internet terminal stores Internet information, such as websites, forums, and other device-related information. This embodiment can use the Internet terminal as a supplement and support for the local device knowledge base, providing users with more comprehensive and accurate summary information as target auxiliary maintenance information to assist users in device maintenance.

[0073] In this embodiment, the large language model includes a preset first large language model and a second large language model. Based on the preset first large language model, the first fault knowledge from the local device knowledge base and the second fault knowledge from the Internet end are processed to obtain domain information, where the domain information includes at least one of the type, specification and function of the device, and the domain information is used to instruct the preset second large language model to process the first fault knowledge from the local device knowledge base and the second fault knowledge from the Internet end;

[0074] Large Language Models (LLMs) are a type of natural language processing models with large-scale parameters and computing power. They are trained with a large amount of data and parameters to generate descriptive text similar to humans or answer natural language questions, such as GPT (Generative Pre-trained Transformer), Bard, T5 (Text-to-Text Transfer Transformer), PaLM (Pathways Language Model), etc. This embodiment does not limit the type and specific construction method of the large language model.

[0075] The first language model in this embodiment can be used to process the first fault knowledge from the local device knowledge base and the second fault knowledge from the Internet to generate domain information.

[0076] It is understandable that in the field of artificial intelligence, especially in natural language processing (NLP), "prompt" is a technique that can be used to guide the model to generate specific outputs or perform specific tasks. In the context of large language models, prompt refers to an input provided to the model. This input is usually a question, a text, or any type of instruction to guide the model to generate a specific output. For example, prompt contains reply strategy information, such as answer generation guidelines, and document format information, such as local device knowledge base format instructions.

[0077] In this embodiment, the prompt may be domain information, such as domain knowledge related to the device. It is understandable that the domain information may also be manually written by the user, but this embodiment may directly and automatically generate the domain information to inject the domain information into the preset second language model, guide the second language model to process the first fault knowledge from the local device knowledge base and the second fault knowledge from the Internet, and extract more accurate summary information as the target auxiliary maintenance information.

[0078] It can be understood that in this embodiment, the functions of the first language model and the second language model are not the same. The first language model is used to automatically generate domain information, and the second language model is used to automatically generate summary information. Therefore, there are differences in the model hierarchy structure, weights and other parameters of the two large language models, which will not be elaborated.

[0079] In this embodiment, after extracting the first fault knowledge from the local device knowledge base, the second fault knowledge from the Internet, and the domain information prompt, the first fault knowledge from the local device knowledge base, the second fault knowledge from the Internet, and the domain information can be input into the second largest language model for the second largest language model to process the domain information and the target maintenance document, and summarize them to obtain the summarized information as the equipment auxiliary maintenance interface corresponding to the maintenance requirement information, thereby improving the completeness and accuracy of the information summary.

[0080] In one embodiment, the method further comprises:

[0081] By evaluating the fault information, the fault risk level corresponding to the fault information can be obtained. If the fault risk level exceeds the preset threshold, it indicates that the fault information is likely to affect the normal operation of the equipment, and it is necessary to actively analyze the fault of the equipment corresponding to the fault information. First, obtain the maintenance record corresponding to the fault information within the preset period. The maintenance record matching the fault information is a maintenance record generated based on the fault processing similar to the fault information, which records the fault information of similar faults and the corresponding solution process. Input the maintenance records and fault information matching within these preset periods into the large language model, so as to analyze and evaluate the maintenance records corresponding to the fault information and its similar faults within the preset period, obtain the development trend information of the fault information on the corresponding equipment, generate a fault warning report and display it on the equipment auxiliary maintenance interface. By actively outputting the fault warning report to remind the user of the development trend of the fault within the preset period, the user is reminded to adopt more active maintenance means to maintain the equipment to avoid delaying more serious faults.

[0082] This embodiment also provides an auxiliary equipment maintenance device, which can be integrated into an electronic device. Figure 4 As shown, the equipment auxiliary maintenance device may include:

[0083] The receiving module 1001 is used to display the device auxiliary maintenance interface and receive the maintenance requirement information input by the user through the device auxiliary maintenance interface;

[0084] The acquisition module 1002 is used to query the equipment knowledge base to obtain the relevant maintenance documents corresponding to the maintenance requirement information;

[0085] A determination module 1003, configured to determine a corresponding information processing strategy according to the maintenance requirement information, wherein the information processing strategy includes at least one of document retrieval, fault handling, data update, and information aggregation;

[0086] The output module 1004 is used to process the relevant maintenance documents according to the information processing strategy, obtain target auxiliary maintenance information, and display the target auxiliary maintenance information on the equipment auxiliary maintenance interface.

[0087] Optionally, the acquisition module 1002 is further configured to:

[0088] Calculating the similarity between the maintenance requirement information and each piece of knowledge in the equipment knowledge base;

[0089] Determining target knowledge from the knowledge according to the similarity;

[0090] The related maintenance document is determined based on the knowledge document where the target knowledge is located.

[0091] Optionally, the output module 1004 is further configured to:

[0092] If the information processing strategy includes the document retrieval, then obtaining the document information to be retrieved from the maintenance requirement information, wherein the document information includes at least one of a document name, a document content, a document address, and a document description;

[0093] Filtering out a target maintenance document from the relevant maintenance documents based on the document information;

[0094] The target maintenance document or the viewing interface corresponding to the target maintenance document is used as target auxiliary maintenance information.

[0095] Optionally, the output module 1004 is further configured to:

[0096] If the information processing strategy includes the information summary, then based on obtaining summary prompt words from the maintenance requirement information, the relevant maintenance documents and the summary prompt words are input into a pre-trained large language model to obtain a summary result;

[0097] The summary result is used as the target auxiliary maintenance information.

[0098] Optionally, the output module 1004 is further configured to:

[0099] If the information processing strategy includes the data update, then obtaining the data to be updated and the target data corresponding to the data to be updated from the maintenance requirement information;

[0100] Based on the data to be updated, searching the relevant maintenance documents, determining a target update address in the device knowledge base;

[0101] The target data is updated to the device knowledge base based on the target update address, and update information is obtained as the target auxiliary maintenance information.

[0102] Optionally, the output module 1004 is further configured to:

[0103] If the information processing strategy includes the fault processing, acquiring fault information from the maintenance requirement information;

[0104] Based on the fault information and the related maintenance documents, a fault analysis report is obtained as the target auxiliary maintenance information.

[0105] Optionally, the output module 1004 is further configured to:

[0106] Acquire first fault knowledge corresponding to the fault information in the relevant maintenance document;

[0107] Based on the fault information, query the Internet terminal to obtain corresponding second fault knowledge;

[0108] The first fault knowledge and the second fault knowledge are input into a pre-trained large language model, and the fault analysis report is summarized to serve as the target auxiliary maintenance information.

[0109] like Figure 5 As shown, Figure 5 A schematic diagram of the structure of an electronic device provided in an embodiment of the present invention. The electronic device 1100 includes a processor 1101 having one or more processing cores, a memory 1102 having one or more computer-readable storage media, and a computer program stored in the memory 1102 and executable on the processor. The processor 1101 is electrically connected to the memory 1102. Those skilled in the art will appreciate that the electronic device structure shown in the figure does not constitute a limitation on the electronic device, and may include more or fewer components than shown, or combine certain components, or arrange components differently.

[0110] The processor 1101 is the control center of the electronic device 1100, and uses various interfaces and lines to connect various parts of the entire electronic device 1100. By running or loading software programs and / or units stored in the memory 1102, and calling data stored in the memory 1102, the processor 1101 executes various functions of the electronic device 1100 and processes data, thereby monitoring the electronic device 1100 as a whole. The processor 1101 can be a processor CPU, a graphics processor GPU, a network processor (Network Processor, NP), etc., and can implement or execute the various methods, steps and logic block diagrams disclosed in the embodiments of the present invention.

[0111] In the embodiment of the present invention, the processor 1101 in the electronic device 1100 loads instructions corresponding to the processes of one or more application programs into the memory 1102 according to the following steps, and the processor 1101 runs the application programs stored in the memory 1102, thereby realizing various functions, for example:

[0112] Displaying an equipment auxiliary maintenance interface, and receiving maintenance requirement information input by a user through the equipment auxiliary maintenance interface;

[0113] Query the equipment knowledge base to obtain relevant maintenance documents corresponding to the maintenance requirement information;

[0114] Determine a corresponding information processing strategy according to the maintenance requirement information, wherein the information processing strategy includes at least one of document retrieval, fault handling, data update and information aggregation;

[0115] According to the information processing strategy, the relevant maintenance documents are processed to obtain target auxiliary maintenance information, and the target auxiliary maintenance information is displayed on the equipment auxiliary maintenance interface.

[0116] In this embodiment, a device-assisted maintenance interface is displayed, and maintenance requirement information input by a user is received through the device-assisted maintenance interface; the device knowledge base is queried to obtain relevant maintenance documents corresponding to the maintenance requirement information; a corresponding information processing strategy is determined based on the maintenance requirement information, and the information processing strategy includes at least one of document retrieval, fault handling, data update, and information aggregation; according to the information processing strategy, the relevant maintenance documents are processed to obtain target auxiliary maintenance information, and the target auxiliary maintenance information is displayed on the device-assisted maintenance interface. Maintenance requirement information is received through the device-assisted maintenance interface, and relevant maintenance documents corresponding to the maintenance requirement information are obtained from the device knowledge base, and relevant maintenance documents are processed according to the information processing strategy corresponding to the maintenance requirement information, so that document retrieval, fault handling, data update, and information aggregation can be implemented, and the corresponding target auxiliary maintenance information can be obtained and displayed on the device-assisted maintenance interface, so as to assist users in equipment maintenance in multiple dimensions.

[0117] The specific implementation of the above operations can be found in the previous embodiments, which will not be described in detail here.

[0118] Optional, such as Figure 5 As shown, the electronic device 1100 further includes: a touch screen 1103, a radio frequency circuit 1104, an audio circuit 1105, an input unit 1106, and a power supply 1107. The processor 1101 is electrically connected to the touch screen 1103, the radio frequency circuit 1104, the audio circuit 1105, the input unit 1106, and the power supply 1107, respectively. Those skilled in the art can understand that Figure 5 The electronic device structure shown in the figure does not constitute a limitation of the electronic device, and may include more or less components than shown in the figure, or combine certain components, or arrange the components differently.

[0119] The touch display screen 1103 can be used to display a graphical user interface and receive operation instructions generated by the user acting on the graphical user interface. The touch display screen 1103 may include a display panel and a touch panel. Among them, the display panel can be used to display information input by the user or information provided to the user and various graphical user interfaces of the electronic device, and these graphical user interfaces can be composed of graphics, text, icons, videos and any combination thereof. Optionally, the display panel can be configured in the form of a liquid crystal display (LCD, Liquid Crystal Display), an organic light-emitting diode (OLED, Organic Light-EmittingDiode) and the like. The touch panel can be used to collect the user's touch operation on or near it (such as the user uses any suitable object or attachment such as a finger, a stylus, etc. on the touch panel or near the touch panel), and generate corresponding operation instructions, and the operation instructions execute corresponding programs. Optionally, the touch panel may include two parts: a touch detection device and a touch controller. Among them, the touch detection device detects the user's touch orientation, detects the signal brought by the touch operation, and transmits the signal to the touch controller; the touch controller receives the touch information from the touch detection device, converts it into the touch point coordinates, and then sends it to the processor 1101, and can receive the command sent by the processor 1101 and execute it. The touch panel can cover the display panel. When the touch panel detects a touch operation on or near it, it is transmitted to the processor 1101 to determine the type of touch event, and then the processor 1101 provides corresponding visual output on the display panel according to the type of touch event. In an embodiment of the present invention, the touch panel and the display panel can be integrated into the touch display screen 1103 to realize the input and output functions. However, in some embodiments, the touch panel and the touch panel can be used as two independent components to realize the input and output functions. That is, the touch display screen 1103 can also be used as a part of the input unit 1106 to realize the input function.

[0120] The radio frequency circuit 1104 may be used to send and receive radio frequency signals, so as to establish wireless communication with a network device or other electronic devices through wireless communication, and to send and receive signals between the network device or other electronic devices.

[0121] The audio circuit 1105 can be used to provide an audio interface between the user and the electronic device through a speaker and a microphone. The audio circuit 1105 can transmit the electrical signal converted from the received audio data to the speaker, which is converted into a sound signal for output; on the other hand, the microphone converts the collected sound signal into an electrical signal, which is received by the audio circuit 1105 and converted into audio data, and then the audio data is output to the processor 1101 for processing, and then sent to another electronic device through the radio frequency circuit 1104, or the audio data is output to the memory 1102 for further processing. The audio circuit 1105 may also include an earplug jack to provide communication between an external headset and an electronic device.

[0122] The input unit 1106 may be used to receive input numbers, character information or user feature information (such as fingerprint, iris, facial information, etc.), and generate keyboard, mouse, joystick, optical or trackball signal input related to user settings and function control.

[0123] The power supply 1107 is used to supply power to various components of the electronic device 1100. Optionally, the power supply 1107 can be logically connected to the processor 1101 through a power management system, so that the power management system can manage charging, discharging, and power consumption. The power supply 1107 can also include one or more DC or AC power supplies, recharging systems, power failure detection circuits, power converters or inverters, power status indicators, and other arbitrary components.

[0124] although Figure 5 Not shown, the electronic device 1100 may also include a camera, a sensor, a wireless fidelity module, a Bluetooth module, etc., which will not be described in detail here.

[0125] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0126] A person of ordinary skill in the art will appreciate that all or part of the steps in the various methods of the above embodiments may be completed by instructions, or by controlling related hardware through instructions. The instructions may be stored in a computer-readable storage medium and loaded and executed by a processor.

[0127] To this end, an embodiment of the present invention provides a computer-readable storage medium, in which multiple computer programs are stored, and the computer program can be loaded by a processor to execute any of the equipment assisted maintenance methods provided in the embodiments of the present invention. The computer program can execute the following steps of the equipment assisted maintenance method:

[0128] Displaying an equipment auxiliary maintenance interface, and receiving maintenance requirement information input by a user through the equipment auxiliary maintenance interface;

[0129] Query the equipment knowledge base to obtain relevant maintenance documents corresponding to the maintenance requirement information;

[0130] Determine a corresponding information processing strategy according to the maintenance requirement information, wherein the information processing strategy includes at least one of document retrieval, fault handling, data update and information aggregation;

[0131] According to the information processing strategy, the relevant maintenance documents are processed to obtain target auxiliary maintenance information, and the target auxiliary maintenance information is displayed on the equipment auxiliary maintenance interface.

[0132] The specific implementation of the above operations can be found in the previous embodiments, which will not be described in detail here.

[0133] The computer-readable storage medium may include: a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, etc.

[0134] Since the computer program stored in the computer-readable storage medium can execute any one of the equipment-assisted maintenance methods provided in the embodiments of the present invention, the beneficial effects that can be achieved by any one of the equipment-assisted maintenance methods provided in the embodiments of the present invention can be achieved. Please refer to the previous embodiments for details and will not be repeated here.

[0135] In the above-mentioned equipment auxiliary maintenance device, computer-readable storage medium, electronic device, and computer program product embodiments, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments. Those skilled in the art can clearly understand that for the convenience and simplicity of description, the specific working process and beneficial effects of the above-described equipment auxiliary maintenance device, computer-readable storage medium, computer program product, electronic device and its corresponding units can refer to the description of the equipment auxiliary maintenance method in the above embodiment, and will not be repeated here.

[0136] The above is a detailed introduction to an equipment assisted maintenance method, an equipment assisted maintenance device, an electronic device, a computer-readable storage medium and a computer program product provided in an embodiment of the present invention. Specific examples are used herein to illustrate the principles and implementation methods of the present invention. The description of the above embodiments is only used to help understand the method of the present invention and its core idea; at the same time, for technical personnel in this field, according to the idea of ​​the present invention, there will be changes in the specific implementation method and application scope. In summary, the content of this specification should not be understood as a limitation on the present invention.

Claims

1. A device assisted maintenance method, characterized in that: The equipment auxiliary maintenance method comprises: Displaying an equipment auxiliary maintenance interface, and receiving maintenance requirement information input by a user through the equipment auxiliary maintenance interface; Query the equipment knowledge base to obtain relevant maintenance documents corresponding to the maintenance requirement information; Determine a corresponding information processing strategy according to the maintenance requirement information, wherein the information processing strategy includes at least one of document retrieval, fault handling, data update and information aggregation; According to the information processing strategy, the relevant maintenance documents are processed to obtain target auxiliary maintenance information, and the target auxiliary maintenance information is displayed on the equipment auxiliary maintenance interface.

2. The equipment auxiliary maintenance method according to claim 1, characterized in that: The querying of the equipment knowledge base to obtain the relevant maintenance documents corresponding to the maintenance requirement information includes: Calculating the similarity between the maintenance requirement information and each piece of knowledge in the equipment knowledge base; Determining target knowledge from the knowledge according to the similarity; The related maintenance document is determined based on the knowledge document where the target knowledge is located.

3. The equipment auxiliary maintenance method according to claim 1, characterized in that: The step of processing the relevant maintenance documents according to the information processing strategy to obtain target auxiliary maintenance information includes: If the information processing strategy includes the document retrieval, then obtaining the document information to be retrieved from the maintenance requirement information, wherein the document information includes at least one of a document name, a document content, a document address, and a document description; Filtering out a target maintenance document from the relevant maintenance documents based on the document information; The target maintenance document or the viewing interface corresponding to the target maintenance document is used as target auxiliary maintenance information.

4. The equipment auxiliary maintenance method according to claim 1, characterized in that: The step of processing the relevant maintenance documents according to the information processing strategy to obtain target auxiliary maintenance information includes: If the information processing strategy includes the information summary, then based on obtaining summary prompt words from the maintenance requirement information, the relevant maintenance documents and the summary prompt words are input into a pre-trained large language model to obtain a summary result; The summary result is used as the target auxiliary maintenance information.

5. The equipment auxiliary maintenance method according to claim 1, characterized in that: The step of processing the relevant maintenance documents according to the information processing strategy to obtain target auxiliary maintenance information includes: If the information processing strategy includes the data update, then obtaining the data to be updated and the target data corresponding to the data to be updated from the maintenance requirement information; Based on the data to be updated, searching the relevant maintenance documents, determining a target update address in the device knowledge base; The target data is updated to the device knowledge base based on the target update address, and update information is obtained as the target auxiliary maintenance information.

6. The equipment auxiliary maintenance method according to claim 1, characterized in that: The step of processing the relevant maintenance documents according to the information processing strategy to obtain target auxiliary maintenance information includes: If the information processing strategy includes the fault processing, acquiring fault information from the maintenance requirement information; Based on the fault information and the related maintenance documents, a fault analysis report is obtained as the target auxiliary maintenance information.

7. The equipment auxiliary maintenance method according to claim 6, characterized in that: The obtaining of a fault analysis report as the target auxiliary maintenance information based on the fault information and the related maintenance document includes: Acquire first fault knowledge corresponding to the fault information in the relevant maintenance document; Based on the fault information, query the Internet terminal to obtain corresponding second fault knowledge; The first fault knowledge and the second fault knowledge are input into a pre-trained large language model, and the fault analysis report is obtained by summarizing the information as the target auxiliary maintenance information.

8. An equipment auxiliary maintenance device, characterized in that: The equipment auxiliary maintenance device comprises: A receiving module, used to display an equipment auxiliary maintenance interface and receive maintenance requirement information input by a user through the equipment auxiliary maintenance interface; An acquisition module is used to query the equipment knowledge base to obtain relevant maintenance documents corresponding to the maintenance requirement information; A determination module, configured to determine a corresponding information processing strategy according to the maintenance requirement information, wherein the information processing strategy includes at least one of document retrieval, fault handling, data update, and information aggregation; The output module is used to process the relevant maintenance documents according to the information processing strategy, obtain target auxiliary maintenance information, and display the target auxiliary maintenance information on the equipment auxiliary maintenance interface.

9. An electronic device, characterized in that: The invention comprises a processor and a memory, wherein the memory stores a computer program, and when the computer program is executed by the processor, the processor executes the steps of the equipment-assisted maintenance method according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium includes a computer program. When the computer program is run on an electronic device, the computer program is used to enable the electronic device to execute the steps of the device-assisted maintenance method in any one of claims 1 to 7.

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