A Method for Analysing Intrinsic Safety in the Power Industry Based on Automatic Cue Learning

Abstract

The safety and stability of the electric power industry is crucial in contemporary society, and the concept of intrinsic safety and automatic cue learning technology are of great significance for its safety analysis. This paper combines automatic cue learning and intrinsic safety analysis method to construct a set of intelligent and precise safety analysis method for power industry. The automatic cue learning technology can efficiently process power data and mine risks, while the intrinsic safety analysis concept provides a framework for risk assessment and control. Finally, the HM onshore power generation enterprise is taken as an example to demonstrate that the system can be used in multiple scenarios in the power industry to improve the safety management level, reduce the potential accidents, and provide a new way to analyse the intrinsic safety in the power industry.