Dynamic environment monitoring system of digital twin computer room based on Drools inference engine

Abstract

Aiming at the problems of single monitoring and management mode, poor real-time performance, low transparency, and difficulty in operation and maintenance of the current data room, a digital twin machine room dynamic environment monitoring system based on the Drools inference engine was constructed. In the virtual scene, the Drools rule engine is used to build an expert system for fault analysis and prediction in the data room, which improves the interactivity of the dynamic loop system in the data room, greatly improves the accuracy and timeliness of fault diagnosis, and has great application value.