Research on Automatic Fault Diagnosis Technology of IT Equipment Based on Big Data

This paper studies the automatic diagnosis technology of large data-based IT equipment faults. By combining traditional IT equipment operation and maintenance system with mobile terminal, users can receive alarms and important performance indicators of network equipment in real time at any time, understand the operation status of network equipment clearly and intuitively, and maintain network equipment remotely through mobile terminal. Now IT equipment centralized operation and maintenance management. The knowledge base of IT equipment is formed by integrating the experience, knowledge, skills, reasoning and synthesizing of many experts in fault diagnosis of IT equipment. A set of general fault diagnosis platform is constructed. The equipment fault can be diagnosed automatically by computer. The normal index of the knowledge base of IT equipment expert is retrieved by the expert system of IT equipment through the technical parameters of the tested equipment, and the reasoning and judgment are carried out. Output of failure components, test results of indicators, causes of failure, treatment measures, etc.