Object detection method and device, electronic equipment and computer readable storage medium

Abstract

The embodiment of the invention discloses an object detection method and device, electronic equipment and a computer readable storage medium, and the method comprises the steps of determining a target detection object, and setting target detection object identification information for the target detection object; obtaining execution data of the target detection object according to the identification information of the target detection object, and generating an execution link diagram of the target detection object based on the execution data; and performing anomaly detection based on the execution link diagram of the target detection object. According to the technical scheme, the execution information of the target detection object can be comprehensively acquired, and anomaly detection can be quickly and accurately performed based on the comprehensive execution information, so that the fault processing efficiency can be effectively improved, the fault processing real-time performance can be improved, meanwhile, monitoring and analysis of database operation and database performance can be realized, and effective data support is provided for positioning, processing and backtracking of fault problems.

Description

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AI Technical Summary

Benefits of technology

This technology helps detect objects more efficiently during their entire lifecycle without manual setting or adjustment being necessary. By analyzing this system's behavior over multiple stages before identifying any issues with them, we aimed towards providing better quality control measures such as timely error correction codes (ECC) and efficient recovery strategies. Overall, these improvements help improve overall computer security and reliability while reducing operational expenses associated therewith

Problems solved by technology

The technical problem addressed in this patents relates to finding or identifying any potential issues with cloud servers caused due to changes made over time during their lifespan (their ability to handle large amounts of work). This can lead to system crashes that could affect other systems connected via different paths. Current solutions require manual inspections which may take too much effort if done frequently enough. Therefore, these existing techniques have limitations and cannot provide real-time monitoring capabilities needed for efficient troubleshooting purposes.

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