10 results about "Problem description" patented technology

The invention discloses a finance and taxation complex problem retrieval method and device based on a large model agent. The method comprises the following steps of: performing session context supplementation on a user question retrieved by a user according to a questioning habit of the retrieved user and a preset question mode, obtaining a supplementary question description, disassembling the supplementary question description to obtain a plurality of sub-question descriptions of the supplementary question description, dynamically allocating weights for the plurality of sub-question descriptions, and determining the priority of each sub-question description; performing deep retrieval on the sub-problem descriptions according to the priorities, obtaining knowledge fragments of the sub-problem descriptions and the correlation of the corresponding sub-problem descriptions, obtaining a correlation result, regenerating accurate retrieval words of the sub-problem descriptions according to the correlation result, performing retrieval again, and obtaining final knowledge fragments of retrieval; and according to the question type, the knowledge background and the question style of the user question, carrying out personalized fusion on the final knowledge fragment to obtain a question answer of the user question and returning the question answer to the user front end.

The invention provides an equipment fault prediction method and device, a storage medium and electronic equipment. The method comprises the following steps: acquiring a text feature vector for performing problem description on an abnormal condition of equipment; matching the text feature vector from a preset question and answer feature vector database to determine whether the question description is the question description related to the equipment fault; if the problem description is determined to be the problem description related to the fault, respectively obtaining a system fault prediction result and a system solution, a networking fault prediction result and a networking solution, and a map prediction fault result and a map solution of the question and answer knowledge base; and obtaining a system fault prediction result and a system solution, a networking fault prediction result and a networking solution, and a map prediction fault result and a map solution of the question and answer knowledge base by using the hybrid expert model, and obtaining an optimal fault prediction result and a corresponding optimal solution. Therefore, the fault prediction result and the fault solution are efficiently and accurately determined, and the operation and maintenance efficiency of the equipment is improved.

The invention provides a query statement generation method and system and a storage medium, and the method comprises the steps: obtaining a problem description text input by a user in an interaction interface, carrying out the word segmentation of the problem description text, determining a first alternative index category according to a word segmentation result, and obtaining all indexes from a pre-constructed index library, and determining a second alternative index category according to the obtained index and the problem description text, thereby generating at least one recommended query statement according to the first alternative index category, the second alternative index category, the problem description text and a pre-trained large language model, and realizing the generation of the query statement. Therefore, the generated query statement better meets the query requirement of the user, prediction errors of the model on the query requirement of the user due to the difference of description input by different users are avoided, the understanding of the model in a specific scene can be increased, the model is helped to find more comprehensive related indexes, and the query statement needed by the user is accurately generated.

The invention relates to the technical field of problem management, and discloses an information processing method and device, equipment, a medium and a program product, and the method comprises the steps: receiving problem description information which is input by a user and is related to a vehicle from a first terminal, and obtaining a first type of the problem description information according to the problem description information through a neural network model; sending the first type to the first terminal, so that the first terminal displays the first type; when a second type of question description information is received from the first terminal, the first type and the second type are sent to a second terminal, and the second type is different from the first type; receiving an audit result from the second terminal, and determining a target type according to the audit result; generating problem data, and storing the problem data, the problem data including the target type. The subjective influence of setting the problem type by the user is weakened, and the problem that the definition of the problem type related to the vehicle is inaccurate is solved.

The present disclosure relates to a method, apparatus, device, and medium for handling a problem. The method includes: obtaining a problem and problem description information in a software project to be handled; the software project to be handled includes multiple functional modules; determining a first correlation between the problem description information and each functional module based on keywords included in the problem description information; and determining a target functional module corresponding to the problem based on the first correlation information. The present disclosure can accurately determine the target functional module corresponding to the problem.

The invention discloses a form question classification reply method and system based on RPA and a large model, and a medium, and belongs to the field of question handling, the form question classification reply method based on RPA and the large model comprises the following steps: reading each question in a question collection form by using an RPA client, extracting a question description of each question, obtaining a plurality of question descriptions corresponding to the question collection form; inputting a plurality of problem descriptions into a problem classifier to obtain a plurality of problem classification results, generating a problem classification prompt word of each problem classification result, generating a problem reason and a solution of each problem, obtaining a plurality of problem reasons and solutions of a plurality of problems, generating a problem reason core point and a solution core point of each problem, and generating a problem classification result of each problem; and generating a question answer of each question, obtaining a plurality of question answers, correspondingly sending the plurality of question answers to the acceptor in the question form, and completing question processing feedback. According to the method, the questions in the question form collected by an enterprise can be classified and answered.

The invention relates to a problem checking method, system and device and a storage medium. The problem checking method comprises the steps of performing semantic analysis on received problem description information, and extracting semantic information for representing a target problem in the problem description information; performing comparative analysis on the semantic information and a set question type, and determining a target question type corresponding to the target question; the target problem is forwarded to a target device deployed with a target troubleshooting agent, information related to the target problem is inquired through the target troubleshooting agent, troubleshooting information used for positioning the root cause of the problem is obtained, and a corresponding relation exists between the target troubleshooting agent and the type of the target problem; according to the technical scheme, retrieval is carried out in the troubleshooting knowledge base according to the troubleshooting information, the root cause causing the occurrence of the target problem is determined, and the troubleshooting result containing the root cause and the corresponding solution measures is generated, so that the response speed is increased, and the technical effect of efficiently and accurately solving the problem is achieved to a certain extent.

This application provides a problem correction and tracking management method and system, relating to the field of management information technology, including the following steps: an information entry step, receiving and storing inspection item information input by the user, wherein the inspection item information includes at least the inspection area, problem type, inspection content, inspection unit, implementation standard, and assessment standard; a problem entry step, receiving the inspection items corresponding to the problems found in the inspection list generated based on the inspection item information, and supplementing the entry with problem information, wherein the problem information includes at least the problem description, assessment status, and the person in charge of problem correction and prevention. This application provides a problem correction and tracking management method and system that improves the efficiency of personnel in solving problems, saves manpower, and improves the management efficiency of daily problems by standardizing the entry and classifying problems from various sources, and generating a knowledge base based on historical problems.

The application discloses an online question and answer system and method for industrial equipment fault diagnosis based on vector matching, wherein a user inputs a problem description on a client, the system converts the problem description into a vector representation locally or remotely, matches the vector representation with stored standard problem descriptions, determines a problem item closest to the problem description, and recommends an expert ID skilled in processing the closest problem item; the user sends a remote communication request to the recommended expert ID on the client; and the expert accepts the remote communication request on the client and establishes remote online communication based on websocket and webRTC technology. The application aims to provide efficient, accurate and convenient fault diagnosis services through intelligent expert matching mechanism, flexible communication mode and perfect record management, so as to improve the overall performance and user experience of industrial equipment fault diagnosis.

The embodiment of the invention relates to a problem processing method and device, equipment and a medium. The method comprises the steps that multiple pieces of problem description data for a target application program are obtained; constructing a plurality of first combinations corresponding to the problem description data by adopting a full combination construction algorithm; performing dimension concentration detection and filtering on the plurality of first combinations to obtain at least one second combination; and performing problem attribution based on the at least one second combination. Therefore, filtering is carried out according to the dimension concentration degree on the basis of the combination with comprehensive coverage, automatic grouping of the problem description data is achieved, the grouping efficiency is improved, invalid combinations are filtered out, the efficiency of the overall process of problem attribution is improved, the potential dimension concentration situation between the problem description data is fully mined, and the problem attribution efficiency is improved. The efficiency and accuracy of problem solving based on the problem description data are improved, and the success rate of problem solving is greatly improved.