Monitoring and Predictive Maintenance of Gas Power Plant Equipment Status Based on the Internet of Things
This paper designs a gas power plant equipment status monitoring and predictive maintenance system based on the Internet of Things(IoT).The system deploys IoT sensors on key equipment to collect real-time operating parameters,and combines big data analysis and machine learning algorithms to achieve equipment status evaluation,fault prediction,and intelligent maintenance decision-making.The main innovations include a hybrid networking architecture for power plants and the establishment of an adaptive fault prediction model to support decision optimization.This system has promoted the improvement of equipment status perception ability in gas power plants,making operation and maintenance decisions more intelligent.
NETL
NSTL
万方数据
