Machine room fault early warning method and process based on machine learning

Abstract

The invention relates to the technical field of machine room fault early warning, in particular to a machine room fault early warning method and process based on machine learning. S2, mounting a fault robot; s3, collecting data; s4, establishing a model; according to the method, sensors are arranged, the internal environment of a machine room is monitored, then various types of faults are manually processed, a model is established, and a fault processing mode is input into a program of a fault robot by utilizing an algorithm, so that when the fault robot has a fault early warning later, the fault robot can perform early warning on the fault; and a proper processing mode is selected according to a big data calculation result, so that a worker is assisted to remove a fault, and an effect of early warning of the fault in the machine room is achieved.

Description

technical field [0001] The invention relates to the technical field of computer room fault early warning, in particular to a computer room fault early warning method and process based on machine learning. Background technique [0002] Computer room: The collective name for the workplaces and production units of the old handicraft and silk and cotton weaving industries; now it refers to the computer learning room; Servers, where IT services are provided to users and employees; [0003] Because there are too many equipment lines in the equipment room, the requirements for the internal environment of the equipment room are relatively strict. If there is a problem in the internal environment of the equipment room, it is extremely easy to cause damage to the equipment inside the equipment room and short-circuit. For the internal environment monitoring of the equipment room, most of them are monitored manually. The efficiency of manual monitoring is low and the error rate is high...

AI Technical Summary

Problems solved by technology

[0003] There are too many equipment lines inside the computer room, so the requirements for the internal environment of the computer room are relatively strict. If there is a problem with the internal environment of the computer room, it is extremely easy to cause damage to the equipment inside the computer room and short circuit. For the monitoring of the internal environment of the computer room, most of them are monitored manually. However The efficiency of manual monitoring is low, and the error rate is high, so the present invention proposes a machine room fault warning method and process based on machine learning