A Solution Method for Reliability Evaluation of Dust-proofing Water Supply Network in pit

被引:0
|
作者
Wang, Pei [1 ]
机构
[1] Capital Univ Econ & Business, Beijing, Peoples R China
来源
PROCEEDINGS OF THE 2ND INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND APPLICATION ENGINEERING (CSAE2018) | 2018年
关键词
Mine; Reliability; Evaluation model; Water supply network; Quasi Monte Carlo;
D O I
10.1145/3207677.3277975
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
In-1 order to improve work environment and protect workers' health, the task of the water supply network is to reducing dust in pit, so the stable operation of water supply network is very important. In order to enhance the reliability of water supply network in pit, the model for reliability evaluation of dustproofing water supply network is established. The length, diameter, failure rate, both of repair time of pipe and water volume of node are determined as evaluation indexes in the paper. The paper adopts sobol sequence as the core of Quasi Monte Carlo method to simulate and solve the reliability evaluation model at the first time. Lin-nan mine is used as application and do statistical analysis for the results at last. According to the research, the pipes that are important to the network can be determined, what is more, the reliabilities of node and the entire network can be obtained.
引用
收藏
页数:5
相关论文
共 38 条
  • [21] Selection Method of Measurement Points for Changes in Water Quality in the Water Supply Network Monitoring System
    Sudol, Miroslaw
    OCHRONA SRODOWISKA, 2018, 40 (03): : 41 - 46
  • [22] An Effective Reliability Evaluation Method for Power Communication Network Based on Community Structure
    Li, Qi
    Cao, Zehong
    Tanveer, M.
    Pandey, Hari Mohan
    Wang, Chen
    IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS, 2020, 56 (04) : 4489 - 4500
  • [23] Reliability evaluation method for distribution network with distributed generations considering feeder fault recovery and network reconfiguration
    Wang, Haipeng
    Lu, Hongchang
    Sun, Kai
    Wu, Xuewei
    He, Yuling
    Du, Xiaodong
    IET RENEWABLE POWER GENERATION, 2023, 17 (14) : 3484 - 3495
  • [24] Selection of evaluation indicators for water supply network health status based on factor analysis
    Ding X.
    Shi X.
    Ling M.
    Huang Z.
    An Q.
    Liu S.
    Water Resources Protection, 2021, 37 (06) : 67 - 73
  • [25] Research for Accident Decision Making Method of Water Supply Network Based on Case Reasoning
    Peng, Xia
    Zhao, Ying
    PROCEEDINGS OF THE 2015 INTERNATIONAL CONFERENCE ON EDUCATION, MANAGEMENT AND COMPUTING TECHNOLOGY, 2015, 30 : 285 - 288
  • [26] A new method to estimate the leakage amount at the water supply network nodes in the countryside regions
    Qiang Yue
    Fan Zhe-chao
    Zhao Ming-jie
    Li Li
    PROGRESS IN CIVIL ENGINEERING, PTS 1-4, 2012, 170-173 : 2386 - +
  • [27] Modeling and visualization of failure rate of a water supply network using the regression method and GIS
    Kubat, B.
    Kwietniewski, M.
    DESALINATION AND WATER TREATMENT, 2020, 186 : 19 - 28
  • [28] REMR: A Reliability Evaluation Method for Dynamic Edge Computing Network Under Time Constraint
    Chen, Liang
    Qi, Jianpeng
    Su, Xiao
    Wang, Rui
    IEEE INTERNET OF THINGS JOURNAL, 2023, 10 (05) : 4281 - 4291
  • [29] Optimal Design of Water-supply Pipe Network Based on Improved Particle Swarm Optimization Algorithm Considering Reliability
    Shen, Cheng
    Yu, T. -C.
    Zhang, T. -Q.
    2010 8TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION (WCICA), 2010, : 3331 - 3335
  • [30] Comprehensive Reliability Evaluation Method for Smart Distribution Network Considering Influence of Secondary Power System
    Xia Y.
    Xiao F.
    Xiao, Fan (xiao103fan@163.com), 1600, Automation of Electric Power Systems Press (44): : 165 - 172