Server inspection method and system based on artificial intelligence

Abstract

The invention discloses a server inspection method and system based on artificial intelligence. The method comprises the following steps: sending a robot to a server machine room to be inspected, andreconstructing the surrounding environment of the robot into a three-dimensional model through a robot binocular vision module; enabling the cloud server to process the acquired pictures, and performing modeling and path planning on a three-dimensional space; collecting an operation panel image of the server, and inputting the operation panel image into an image reasoning identification model foridentification; enabling the robot to acquire server equipment state information through the server state acquisition module and inputs the acquired parameters into the intelligent analysis module toanalyze and identify the server state information. According to the invention, the to-be-inspected server machine room motion path planning is realized by reconstructing the three-dimensional model, the machine room environment is acquired in real time, the equipment state of the server is intelligently acquired, and the inspection of the server is completed by the intelligent analysis module, sothat the inspection efficiency is improved, and the inspection accuracy is ensured.

Description

technical field [0001] The invention belongs to the technical field of robot inspection, and in particular relates to an artificial intelligence-based server inspection method and an artificial intelligence-based server inspection system. Background technique [0002] At present, the machine room inspection in the domestic server industry still adopts the manual inspection method, that is, the staff on duty regularly checks the status of equipment and the environment of the machine room, and monitors the status of the information system through monitoring systems such as i6000. Obviously, this method has lags in information acquisition, Poor information sharing, easy slack in personnel, and inaccurate data recorded manually. If the neural network built by deep learning can be combined with the data collected by the sensor on the sensitive part of the equipment during the system inspection, the system operation status can be monitored and the fault can be analyzed and diagnos...

AI Technical Summary

Problems solved by technology

[0003] The purpose of the present invention is to provide a server inspection method and system based on artificial intelligence. The robot realizes the movement path planning of the server room to be inspected by reconstructing the three-dimensional model, and performs real-time acquisition of the computer room environment and intelligent monitoring of the equipment status of the server. Collection, the inspection of the server is completed by the intelligent analysis module, which solves the problems of poor inspection efficiency and incomplete and accurate inspection caused by human inspection in the existing server room inspection

Images