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.
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)
出处
《核安全》
2019年第5期54-61,67,共9页
Nuclear Safety
关键词
神经网络
核电厂
环境监测
neural network
nuclear power plant
environment monitoring
