核电CCWS换热器的智能监测与诊断

Qian Ming, Jian Hu, Wu Wang
{"title":"核电CCWS换热器的智能监测与诊断","authors":"Qian Ming, Jian Hu, Wu Wang","doi":"10.1115/icone29-92260","DOIUrl":null,"url":null,"abstract":"\n Component Cooling Water System (CCWS) heat exchanger in nuclear power plant plays an important role in normal operation and accident condition. Because of the different requirements of heat conduction performance under normal operation and accident conditions, it is necessary to monitor the heat conduction performance under normal conditions to valuation the performance under accident condition. At present, the heat transfer coefficient is calculated by collecting the temperature and flow parameters of the cold and hot sides of CCWS heat exchanger. This way of valuation does not consider the influence of the change of plant operating conditions on the heat transfer coefficient of the heat exchanger, and it is also impossible to predict the failure time.The intelligent monitoring and diagnosis system using big data intelligent algorithm and failure mechanism model can automatically calculate the evaluation parameters that can characterize the trend changes of thermal and hydraulic performance of heat exchanger in real time, and realize the purpose of predicting the faults of heat exchanger in advance, thus guiding on-site maintenance personnel to accurately arrange maintenance activities.Based on the research of intelligent monitoring and diagnosis system of CCWS heat exchanger, this paper introduces the development direction and suggested realization method of CCWS heat exchanger in the intelligent process of nuclear power plant, and puts forward the conception of developing intelligent monitoring and diagnosis system of CCWS heat exchanger.","PeriodicalId":422334,"journal":{"name":"Volume 12: Innovative and Smart Nuclear Power Plant Design","volume":"53 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Intelligent Monitoring and Diagnosis of CCWS Heat Exchanger For Nuclear Power Plant\",\"authors\":\"Qian Ming, Jian Hu, Wu Wang\",\"doi\":\"10.1115/icone29-92260\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\\n Component Cooling Water System (CCWS) heat exchanger in nuclear power plant plays an important role in normal operation and accident condition. Because of the different requirements of heat conduction performance under normal operation and accident conditions, it is necessary to monitor the heat conduction performance under normal conditions to valuation the performance under accident condition. At present, the heat transfer coefficient is calculated by collecting the temperature and flow parameters of the cold and hot sides of CCWS heat exchanger. This way of valuation does not consider the influence of the change of plant operating conditions on the heat transfer coefficient of the heat exchanger, and it is also impossible to predict the failure time.The intelligent monitoring and diagnosis system using big data intelligent algorithm and failure mechanism model can automatically calculate the evaluation parameters that can characterize the trend changes of thermal and hydraulic performance of heat exchanger in real time, and realize the purpose of predicting the faults of heat exchanger in advance, thus guiding on-site maintenance personnel to accurately arrange maintenance activities.Based on the research of intelligent monitoring and diagnosis system of CCWS heat exchanger, this paper introduces the development direction and suggested realization method of CCWS heat exchanger in the intelligent process of nuclear power plant, and puts forward the conception of developing intelligent monitoring and diagnosis system of CCWS heat exchanger.\",\"PeriodicalId\":422334,\"journal\":{\"name\":\"Volume 12: Innovative and Smart Nuclear Power Plant Design\",\"volume\":\"53 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-08-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Volume 12: Innovative and Smart Nuclear Power Plant Design\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1115/icone29-92260\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Volume 12: Innovative and Smart Nuclear Power Plant Design","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1115/icone29-92260","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

机组冷却水系统换热器在核电站的正常运行和事故工况下都起着重要的作用。由于正常工况和事故工况下对导热性能的要求不同,因此有必要对正常工况下的导热性能进行监测,以评估事故工况下的导热性能。目前的换热系数是通过收集CCWS换热器冷热侧的温度和流量参数来计算的。这种计价方式没有考虑装置运行工况变化对换热器换热系数的影响,也无法预测故障时间。采用大数据智能算法和失效机理模型的智能监测诊断系统,能够实时自动计算出表征换热器热工性能和水力性能变化趋势的评价参数,实现对换热器故障提前预测的目的,从而指导现场维修人员准确安排维修活动。本文在对CCWS换热器智能监测诊断系统研究的基础上,介绍了CCWS换热器在核电站智能化过程中的发展方向和建议的实现方法,提出了开发CCWS换热器智能监测诊断系统的构想。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Intelligent Monitoring and Diagnosis of CCWS Heat Exchanger For Nuclear Power Plant
Component Cooling Water System (CCWS) heat exchanger in nuclear power plant plays an important role in normal operation and accident condition. Because of the different requirements of heat conduction performance under normal operation and accident conditions, it is necessary to monitor the heat conduction performance under normal conditions to valuation the performance under accident condition. At present, the heat transfer coefficient is calculated by collecting the temperature and flow parameters of the cold and hot sides of CCWS heat exchanger. This way of valuation does not consider the influence of the change of plant operating conditions on the heat transfer coefficient of the heat exchanger, and it is also impossible to predict the failure time.The intelligent monitoring and diagnosis system using big data intelligent algorithm and failure mechanism model can automatically calculate the evaluation parameters that can characterize the trend changes of thermal and hydraulic performance of heat exchanger in real time, and realize the purpose of predicting the faults of heat exchanger in advance, thus guiding on-site maintenance personnel to accurately arrange maintenance activities.Based on the research of intelligent monitoring and diagnosis system of CCWS heat exchanger, this paper introduces the development direction and suggested realization method of CCWS heat exchanger in the intelligent process of nuclear power plant, and puts forward the conception of developing intelligent monitoring and diagnosis system of CCWS heat exchanger.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信