Alarm linkage system and linkage method based on application strategy

Abstract

The invention discloses an alarm linkage method based on an application strategy. The alarm linkage method comprises the following steps of: (1) setting alarm linkage; (2) feeding back alarm information; (3) collecting video suspicious information; (4) confirming an application strategy; and (5) executing alarm linkage. According to the method, the problems of blind alarm and incapability of intelligent monitoring in existing large-scale machine room pure dynamic environment monitoring and inaccurate recognition of a conventional deep learning algorithm aiming at a machine room scene are solved, an administrator can make reasonable judgment on an alarm task conveniently, and the intelligent management level of large-scale machine room facilities is effectively improved. The invention further discloses an alarm linkage system based on an application strategy.

Description

technical field [0001] The invention relates to the technical field of intelligent equipment in a communication machine room, in particular to an alarm linkage system based on an application strategy and a linkage method thereof. Background technique [0002] The alarm system in the current large-scale computer room is mainly based on the pure power environment monitoring sensor equipment. For example, the outer wall of the computer room uses an infrared intrusion alarm detector to monitor whether there is any suspicious person intrusion. Its disadvantage is that any object touching the sensor can cause an alarm. For Each alarm needs to be checked and confirmed by the management personnel, which is not conducive to the efficiency of remote intelligent management by the administrator; most of the video surveillance systems in large computer rooms are based on deep learning, and are affected by problems such as small targets, occluders, and perspective changes. Simple deep lea...

AI Technical Summary

Problems solved by technology

This method can solve the problems of blind alarms in pure dynamic environment monitoring in large computer rooms, the inability to intelligently monitor and the inaccurate identification of conventional deep learning algorithms for computer room scenarios, which facilitates administrators to make reasonable judgments on alarm tasks and effectively improves the facilities of large computer rooms level of intelligent management

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