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

Published: 22 October 2018 Publication History

Abstract

In1 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 dust-proofing 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.

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

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    CSAE '18: Proceedings of the 2nd International Conference on Computer Science and Application Engineering
    October 2018
    1083 pages
    ISBN:9781450365123
    DOI:10.1145/3207677
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Publication History

    Published: 22 October 2018

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    Author Tags

    1. Evaluation model
    2. Mine
    3. Quasi Monte Carlo
    4. Reliability
    5. Water supply network

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    CSAE '18

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    CSAE '18 Paper Acceptance Rate 189 of 383 submissions, 49%;
    Overall Acceptance Rate 368 of 770 submissions, 48%

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