Research and Application of Intelligent Maintenance Assistance System

被引：0
|
作者：
Shu, Wan [1 ]
Wanrui, Cai [2 ]
Bing, You [1 ]
Peibang, Liu [2 ]
机构：
[1] Fujian Fuqing Nuclear Power Co., Ltd., Fujian, Fuqing,350300, China
[2] CNNC Key Laboratory on Nuclear Industry Simulation, China Nuclear Power Operation Technology Co., Ltd, Wuhan,430000, China
来源：
Hedongli Gongcheng/Nuclear Power Engineering | 2024年 / 45卷
关键词：
Computer debugging - Information management - Plant management - Plant shutdowns - Program debugging - Reactor shutdowns - Risk management;
D O I：
10.13832/j.jnpe.2024.S1.0068
中图分类号：
学科分类号：
摘要：
The management of instrument and control technology, such as risk analysis, safety measures analysis, and DCS file management, is a difficulty and focus in the field of instrument and control work in nuclear power plants. In order to reduce unexpected defects and shutdown risks of units caused by inadequate preparation for instrument control work, based on the study of DCS engineering documents and design documents, a set of intelligent maintenance assistance system is developed. This system interfaces with high-frequency usage scenarios of on-site personnel, supplemented by computer database information modeling technology, achieving intelligent analysis of DCS configuration, DCS system status monitoring, automatic risk warning, and one-stop retrieval functions. It can effectively improve the level of information management in the field of nuclear power instrument and control debugging and maintenance, and improve personnel work efficiency. © 2024 Atomic Energy Press. All rights reserved.
引用
下载
收藏
页码：68 / 71
相关论文
共 50 条
  • [1] Research of intelligent maintenance training system
    Li, M
    Gao, N
    Wei, ZS
    Liang, GH
    ICEMI 2005: Conference Proceedings of the Seventh International Conference on Electronic Measurement & Instruments, Vol 5, 2005, : 293 - 296
  • [2] Research on CBR-Based Hybrid Intelligent System's Application in Equipment Intelligent Maintenance
    Yao, Chun-jiang
    Chen, Xiao-hu
    Wang, Xu-ping
    Zhou, Yong-yao
    ICICTA: 2009 SECOND INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTATION TECHNOLOGY AND AUTOMATION, VOL I, PROCEEDINGS, 2009, : 456 - 459
  • [3] INTELLIGENT ASSISTANCE FOR SOFTWARE-DEVELOPMENT AND MAINTENANCE
    KAISER, GE
    FEILER, PH
    POPOVICH, SS
    IEEE SOFTWARE, 1988, 5 (03) : 40 - 49
  • [4] Research on Complex System Intelligent Maintenance Decision Method
    Li, Peng
    Niu, Wei
    2021 IEEE/ACIS 21ST INTERNATIONAL FALL CONFERENCE ON COMPUTER AND INFORMATION SCIENCE (ICIS 2021-FALL), 2021, : 34 - 37
  • [5] A novel hybrid intelligent maintenance system and its application
    Hu, Q
    He, ZJ
    Zhang, ZS
    Zi, YY
    Lei, YG
    2005 International Conference on Services Systems and Services Management, Vols 1 and 2, Proceedings, 2005, : 863 - 867
  • [6] MAS application for development of proactive maintenance intelligent system
    Iung, B
    Muhl, E
    Leger, JB
    Morel, G
    MULTI-AGENT-SYSTEMS IN PRODUCTION, 2000, : 19 - 25
  • [7] Design and Application Research on Information Management System of Intelligent Maintenance Equipment in Urban Rail Transit
    Shi, Kejian
    Feng, Ping
    Liu, Zhenyu
    Wang, Nan
    CICTP 2020: TRANSPORTATION EVOLUTION IMPACTING FUTURE MOBILITY, 2020, : 535 - 543
  • [8] Research on an Intelligent Maintenance Decision-making Support System
    YANG Ming-zhong
    International Journal of Plant Engineering and Management, 2004, (02) : 85 - 90
  • [9] A System and Method for Intelligent Induced Maintenance of Space Application Facilities
    Zhang, Yanan
    Zhang, Lu
    Fu, Hongyong
    Yu, Dequan
    Li, Zhenxiang
    Wang, Ke
    MOBILE INFORMATION SYSTEMS, 2022, 2022
  • [10] Shenzhen Expressway Intelligent Management and Maintenance System and its Application
    Cai, Rui
    INTERNATIONAL CONFERENCE ON SMART TRANSPORTATION AND CITY ENGINEERING 2021, 2021, 12050
12345