基于神经网络的核电厂环境监测系统的研究  

The Study of Environmental Monitoring System for Nuclear Power Plant Based on Neural Network

作　　者：王飞 宋辉 毛伟 Wang Fei;Song Hui;Mao Wei(China Energy Group Zhejiang Thermal Power Construction Co.,Ltd.,Hangzhou 310000,China;Research Institute of Nuclear Power Operation of CNNC,Wuhan 430033,China;Department of Nuclear Energy Science and Engineering,Naval University of Engineering,Wuhan 430033,China)

机构地区：[1]中国能源建设集团浙江火电建设有限公司,杭州310000 [2]中核集团核动力运行研究所,武汉430223 [3]海军工程大学核能科学与工程系,武汉430033

出　　处：《核安全》2019年第5期54-61,67,共9页Nuclear Safety

摘　　要：为了预防核辐射造成的危害,建立安全、可靠的核安全监控系统有重要的意义。本文主要以Visual Basic编程语言为开发工具,以ACCESS数据库为数据存储,通过模拟相关的参数建立以神经网络为预测模型的核电厂环境监测系统,实现核电厂周边环境的实时监测。通过模拟应用表明,该系统能够实现监测参数的报警以及预测,具有一定的参考和实用价值。In order to prevent the hazards caused by nuclear radiation,it is valuable to build a more safe and re liable nuclear safety monitoring system.This paper mainly takes Visual Basic programming language as the de velopment tool and ACCESS database as the data storage,and establishes the nuclear power plant environment monitoring system with neural network as the prediction model by simulating relevant parameters,so as to real ize the real-time monitoring of the nuclear power plant surrounding environment.The simulation results show that the system can realize alarm and prediction of monitoring parameters,which has certain reference and practical value.

关 键 词：神经网络 核电厂 环境监测 

分 类 号：TL363[核科学技术—核技术及应用] TM623.8[电气工程—电力系统及自动化]