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
  • [41] Intelligent Maintenance Recommender System
    Al-Najim, Abdullatif
    Al-Amoudi, Abrar
    Ooishi, Kenji
    Al-Nasser, Mustafa
    2022 7TH INTERNATIONAL CONFERENCE ON DATA SCIENCE AND MACHINE LEARNING APPLICATIONS (CDMA 2022), 2022, : 212 - 218
  • [42] DASITS: Driver Assistance System in Intelligent Transport System
    Joshi, Jetendra
    Singh, Anshumali
    Moitra, Lakshya Gourav
    Deka, Manash Jyoti
    IEEE 30TH INTERNATIONAL CONFERENCE ON ADVANCED INFORMATION NETWORKING AND APPLICATIONS WORKSHOPS (WAINA 2016), 2016, : 545 - 550
  • [43] The research of remote monitoring and intelligent maintenance system for large asphalt mixing plant
    Song, Shengli
    Xiao, Chongyu
    Zhou, Qicai
    Li, Wanli
    Tang, Yuqing
    Liu, Xuexia
    Feng, Tao
    ADVANCES IN MACHINING AND MANUFACTURING TECHNOLOGY IX, 2008, 375-376 : 530 - +
  • [44] Research on remote state monitoring and intelligent maintenance system of CNC machine tools
    Zuo, Yunbo
    Wang, Hongjun
    Wu, Guoxin
    Gu, Yuhai
    Qiao, Wensheng
    JOURNAL OF ENGINEERING-JOE, 2019, 2019 (23): : 8671 - 8675
  • [45] Research on the Transformer Intelligent Operation and Maintenance System Based on the Graph Neural Network
    Chen, WenGang
    Luo, DianSheng
    Fu, FangYu
    He, HongYing
    Zhang, Ke
    FRONTIERS IN ENERGY RESEARCH, 2022, 10
  • [46] Research on Communication and Positioning Technology of Intelligent Operation and Maintenance System for Transmission Line
    Peng, Taiwei
    Liu, Yuming
    Sun, Yanzhi
    Cui, Chen
    Wen, Quan
    2021 INTERNATIONAL CONFERENCE ON NEURAL NETWORKS, INFORMATION AND COMMUNICATION ENGINEERING, 2021, 11933
  • [47] Research progress on intelligent control and maintenance technology of railway vehicle braking system
    Zuo J.-Y.
    Ding J.-X.
    Jiaotong Yunshu Gongcheng Xuebao/Journal of Traffic and Transportation Engineering, 2021, 21 (06): : 50 - 62
  • [48] INTELLIGENT MOBILE BASED TOURIST ASSISTANCE SYSTEM
    Sood, Rittwik
    2017 2ND INTERNATIONAL CONFERENCE FOR CONVERGENCE IN TECHNOLOGY (I2CT), 2017, : 655 - 658
  • [49] An IoT Framework for Intelligent Roadside Assistance System
    Datta, Soumya Kanti
    Bonnet, Christian
    2017 IEEE INTERNATIONAL CONFERENCE ON CONSUMER ELECTRONICS - TAIWAN (ICCE-TW), 2017,
  • [50] Learning Intelligent System for Student Assistance - LISSA
    Todorov, J.
    Stoyanov, S.
    Valkanov, V.
    Daskalov, B.
    Popchev, I.
    2016 IEEE 8TH INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS (IS), 2016, : 753 - 757
12345