Intelligent monitoring operation and maintenance system

Abstract

The invention discloses an intelligent monitoring operation and maintenance system, which comprises a monitoring object, front-end maintenance equipment, a server and a rear-end one-stop operation management platform, one end of the front-end maintenance equipment is connected with a monitored object, and the other end of the front-end maintenance equipment is connected with the one-stop operation management platform; and the server is connected with the one-stop operation management platform. The one-stop operation management platform comprises an intelligent IT comprehensive network management system, an intelligent assessment management system, an intelligent maintenance monitoring system and a maintenance work order system; the intelligent IT comprehensive network management system is used for carrying out comprehensive operation and maintenance management on an IT network; the intelligent assessment management system is used for assessing and managing the video security and protection monitoring quality; the intelligent maintenance monitoring system is used for automatically discovering and positioning an operation fault of a monitored object; and the maintenance work order system is used for establishing an event management process and a problem management process in the operation and maintenance process. According to the invention, an operation and maintenance management closed loop of fault discovery, fault location and automatic repair is formed, and the operation and maintenance management efficiency is intelligently improved.

Description

technical field [0001] The invention relates to the technical field of video monitoring operation and maintenance, in particular to an intelligent monitoring operation and maintenance system. Background technique [0002] The urban video surveillance system has the characteristics of a huge scale of equipment and resources, a large variety of equipment, and a large number of personnel involved in maintenance. It will be difficult to ensure the high availability of the entire system simply by relying on traditional manual operations for daily inspection and maintenance management. For example, Similar to camera damage, power failure or circuit failure, transmission network interruption, video image loss, server failure, storage device component damage, network instability, etc., are completely detected by manual detection, which is not only a huge workload, but also technically very difficult. [0003] A video surveillance system often includes thousands of monitoring front-e...

AI Technical Summary

Problems solved by technology

When the front-end equipment fails, although it will not affect the overall situation, in actual combat, the lack of evidence caused by the failure will often cause heavy losses, and the manual inspection method used in the traditional video surveillance system appears to be ineffective when faced with a large number of monitoring equipment. Insufficient, not only the number of personnel and equipment is high, but also the real-time performance and accuracy cannot meet the actual combat needs, so the active identification of front-end equipment failures is particularly important for large-scale network video surveillance systems

When a platform device fails to detect and deal with it in time, it will affect the operation of the entire system, and may lead to system failure in severe cases. Therefore, very high requirements are put forward for the capabilities of fault identification prevention, active identification, and fault handling mechanisms.

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