4 results about "Problem location" patented technology

The invention relates to the technical field of product service maintenance, in particular to a product service maintenance method and system based on a problem classification model, and the method comprises the steps: collecting the problem description data of a steward in real time, carrying out semantic analysis and classified storage, generating a problem classification model, judging the emergency degree and complexity of a problem, and selecting a response strategy. The system integrates a natural language processing module, a voice recognition module and a problem classification module, accurate problem positioning and automatic solution generation are achieved through multi-modal data fusion, and meanwhile a manual intervention mechanism is triggered to ensure that complex problems are processed in time. According to the method, the problem feedback efficiency and the solving speed can be remarkably improved, the average response time is shortened, the labor cost is reduced, the initiative and safety of operation and maintenance of the rail transit equipment are improved, and remarkable economic benefits are brought to the industry.

The embodiment of the invention provides a problem positioning method and device for a distributed system, equipment and a storage medium, and relates to the technical field of computers. The method comprises the steps that when a target service node reports an error, an error report log corresponding to the target service node is extracted, and the error report log comprises a TraceID; acquiring upstream and downstream logs associated with the TraceID from a log acquisition system, wherein each of the upstream and downstream logs comprises the TraceID, log data and node environment data; and inputting the error log, the upstream and downstream logs and a preset prompt word into the large model to construct a topological graph of the service call chain based on the log data through the large model under the guidance of the prompt word, identify a target error mode of the fault based on the error log, and identify a fault of the fault based on the target error mode, the topological graph and the node environment data. And determining a target root cause of the fault. Therefore, the upstream and downstream logs are associated through the TraceID, and intelligent generation of the root cause is realized by using a large model agent, so that the problem positioning efficiency and the positioning accuracy are improved.

The application provides a problem positioning method and device based on log analysis, equipment, medium and product, relates to the technical field of big data, and specifically relates to the technical field of artificial intelligence and big data. The method comprises the following steps: in response to detecting an abnormal event, acquiring log data; obtaining a plurality of log records with the same call chain identifier in the log data; the call chain identifier is used for associating log records generated when the same business request flows between different service groups; generating a root cause hypothesis based on the time sequence and semantic relationship between the plurality of log records through a target model; the root cause hypothesis represents the problem position and reason causing the abnormal event.

The invention particularly relates to an online application log analysis and problem positioning method based on a large model. According to the online application log analysis and problem positioning method based on the large model, a front-end and back-end real-time communication channel is established through the WebSocket technology, operation and maintenance personnel achieve real-time interaction with a server side through a Web side management interface, and instruction execution and log information management are achieved through a server side processing program; log files are quickly positioned through the management server and system application configuration information; and in combination with the analysis capability of a large model technology, performing deep analysis, summarization and problem positioning on a system execution result or a system log. According to the online application log analysis and problem positioning method based on the large model, the efficiency and accuracy of problem positioning can be remarkably improved, the operation and maintenance cost can be greatly saved, and the positioning difficulty is reduced, so that the system operation and maintenance level is comprehensively improved, and more efficient, stable and reliable operation and maintenance management support is provided for enterprises.