6 results about "Exception analysis" patented technology

The application relates to a service exception analysis method and device, equipment, a storage medium and a program product. The method comprises the following steps: in the case that a target service appears an exception, determining a task flow corresponding to the target service and an exception time period, and acquiring an exception log obtained by executing the task flow in the exception time period; executing the task flow in a test environment corresponding to the target service to obtain a test log; and determining an exception type of the target service according to the exception log and the test log. The method can quickly and accurately locate the exception type when the service is abnormal.

The present application relates to the field of big data, and provides a big data task exception detection and repair method, system and medium.The big data task exception detection and repair method comprises the following steps: obtaining task information of a big data task with an abnormal task state, wherein the task information comprises a task log; obtaining execution code of the big data task via a decompilation tool, and analyzing the execution code and the task log via an exception analysis module to identify an exception problem; in response to the exception problem being a data source exception and a code exception, analyzing an abnormal code segment, data source information and an exception type via a joint analysis module to determine an exception root cause, wherein the abnormal code segment is identified by the exception analysis module, the data source information is determined by the execution code, and the exception type is determined according to the task log; and triggering abnormal code repair and / or data processing optimization according to the exception root cause.

This application relates to the field of power system data analysis and fault diagnosis technology, specifically providing a method and intelligent device for anomaly analysis of power terminal meter reading data, aiming to solve the technical problem of low efficiency in anomaly analysis of power terminal meter reading data. The method includes: responding to a user query request by acquiring power terminal meter reading data, which includes meter reading data, meter file data, and configuration data; the user query request includes a target file address, a target configuration identifier, and a target time range; matching the corresponding target table serial number from the meter reading data based on the target file address and mapping relationship, and matching the corresponding target configuration information from the configuration data based on the target configuration identifier; extracting a target data subset from the meter reading data according to the target time range, target table serial number, and target configuration information; performing anomaly analysis on the target data subset according to the target configuration information and preset power operation parameter rules, and outputting the analysis results.

The embodiment of the application relates to the technical field of fund clearing automation testing, and particularly relates to a fund clearing automation testing exception analysis method and device. The method comprises the following steps: obtaining an amount mapping table after a target payment operation is completed; obtaining target fund flow record to be reported from the amount mapping table, restoring test simulation amount to real business amount to obtain fund flow information to be reported; reporting the fund flow information to a clearing system to trigger automatic reconciliation, and obtaining reconciliation conclusion; constructing a business knowledge graph based on target reconciliation record of failed reconciliation; tracing abnormal business of reconciliation based on the business knowledge graph to obtain target business data; and intelligently diagnosing the target business data to obtain exception analysis conclusion. The application realizes end-to-end verification of real business amount in a test environment through an amount mapping and restoration mechanism, realizes automatic positioning of an exception root cause through knowledge graph tracing and intelligent diagnosis, and improves the accuracy of clearing test and the efficiency of exception troubleshooting.

The application discloses a kind of multimodal operation and maintenance data exception diagnosis method, equipment and medium, method includes: obtaining multimodal operation and maintenance data, and the feature extraction of unified time stamp is carried out to multimodal operation and maintenance data, to obtain multimodal feature set;Based on multimodal feature set, through feature map dynamic attribute injection, determine dynamic operation and maintenance knowledge graph;According to dynamic operation and maintenance knowledge graph, through fault propagation analysis, obtain abnormal state embedding vector;Node state difference analysis is carried out to dynamic operation and maintenance knowledge graph, to determine node influence degree score;To abnormal state embedding vector and node influence degree score are positioned to the root cause of operation and maintenance exception, to obtain operation and maintenance data exception analysis report.The application solves the technical problems that operation and maintenance exception investigation process depends on artificial judgment and propagation path is not clear in the prior art by the above method.