Nuclear power station containment vessel safety monitoring intelligent analysis system and evaluation method

Abstract

The invention discloses an intelligent analysis system and an evaluation method for safety monitoring of a nuclear power station containment vessel, and relates to the technical field of nuclear power station monitoring, and the method realizes a closed-loop process from data acquisition to deep analysis to comprehensive evaluation through constructing a four-layer system of a sensing front end, information acquisition, intelligent identification and comprehensive evaluation. Firstly, the sensing front-end layer ensures all-directional and high-precision containment state monitoring, and provides an accurate data basis for the system. And then, the information acquisition layer realizes accurate monitoring of the real-time state of the containment through efficient data monitoring and data processing. And then, the intelligent identification layer applies advanced data mining and intelligent analysis technologies, so that the abnormal identification and early warning capability is remarkably enhanced, and potential risks can be found in time. And finally, the comprehensive evaluation layer combines historical data with a real-time state, and comprehensively evaluates and optimizes the containment vessel by constructing a state evaluation model driven by a deep learning algorithm, so that the operation reliability of the containment vessel is improved, and a scientific basis is provided for life extension evaluation and aging management. The whole system not only ensures the safe operation of the nuclear power station, but also optimizes the monitoring efficiency and cost through progressive data processing and analysis layer by layer, and embodies the important application value of the intelligent monitoring technology in the nuclear power field.