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2023 conference-paper

Evaluation Algorithm of In-Plant Emergency Management Capability for Nuclear Power Emergency Incidents Based on Big Data

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Le résumé fourni par la source

The importance of energy for an enterprise is self-evident. With the rapid development of my country’s economy, its dependence on energy is becoming more and more serious. It can be said that energy security will directly affect the country’s future development. The long-term energy strategy has made nuclear energy development a key industry for the emergence of new energy sources in my country in the future. The three major nuclear power groups represented by China National Nuclear Corporation, my country General Nuclear Power Group and National Nuclear Power Technology Corporation will serve as the pillars of my country’s future nuclear power development. Among them, China Guangdong Nuclear Power Group is responsible for my country’s largest nuclear power construction project and the future nuclear power project group. The task of operation management is the leader of my country's current second-generation plus of independent intellectual property rights and the application of advanced third-generation nuclear power technology introduced from abroad. It occupies an important position in my country's nuclear power enterprises. In short, the safe and effective use of nuclear energy can bring huge benefits to a country and nation. At the same time, because the inherent characteristics of nuclear power determine any of its nuclear power projects, the safety and quality of nuclear power must be the top priority. As an important part of nuclear power safety, its emergency management module is even more important. The purpose of this paper is to research and analyze the evaluation algorithm of emergency management capability in nuclear power plant based on big data. This paper firstly explores the basic theory of big data, extends the core technology of big data, then analyzes past nuclear power emergencies, and combines my country’s current nuclear power plants’ emergency management capabilities for emergencies to study and analyze based on big data. The algorithm design of the emergency management capability evaluation in the nuclear power plant. Experimental research shows that compared with the traditional nuclear power plant emergency support capability, the evaluation performance of the algorithm based on big data is half higher, which fully illustrates the feasibility of the emergency management capability evaluation algorithm in the plant for emergencies.

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Le contrôle bibliographique ouvert

DOI retrouvé dans Crossref DOI retrouvé ; titre concordant.

Titre Crossref
Evaluation Algorithm of In-Plant Emergency Management Capability for Nuclear Power Emergency Incidents Based on Big Data
Date Crossref
01/05/2023
Éditeur
IEEE
Type
proceedings-article

Ce recoupement confirme des métadonnées liées au DOI. Il ne confirme ni la méthode ni les conclusions de l’étude, et il ne compte pas comme une seconde source scientifique indépendante.

Les sujets associés

Safety and Risk ManagementRisk and Safety AnalysisMarine and Coastal Research

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