Research on Valve Network Model for Complex Industrial Pipeline Networks

Xiao Luo, Shuang Zhou, Yufang Zheng, Xiaoyan Han, Yichao Cao, Wenjie Ding

2024

Abstract

In the study of valve failure behavior, traditional methods often treat valves as isolated individuals or fixed resistance components, leading to misjudgments about valve performance and the accuracy of pipeline network models, and further affecting the efficiency of fault detection and handling. Therefore, this research analyzes the current status of industrial pipeline networks and summarizes the existing problems in current studies. It proposes a new approach to judge the failure behavior of valve networks in complex industrial pipeline networks, considering the relationship between valve opening and resistance, and establishes a model correlating valve failures with pipeline flow rates. Additionally, a computer-based valve network information model is established, taking into account the mutual influence relationship between valve clusters in the pipeline network and modeling the entire pipeline network. This model provides convenience for the input and computation of large-scale pipeline network operational data sets into computers.

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Paper Citation


in Harvard Style

Luo X., Zhou S., Zheng Y., Han X., Cao Y. and Ding W. (2024). Research on Valve Network Model for Complex Industrial Pipeline Networks. In Proceedings of the 1st International Conference on Data Mining, E-Learning, and Information Systems - Volume 1: DMEIS; ISBN 978-989-758-715-3, SciTePress, pages 119-129. DOI: 10.5220/0012978300004536


in Bibtex Style

@conference{dmeis24,
author={Xiao Luo and Shuang Zhou and Yufang Zheng and Xiaoyan Han and Yichao Cao and Wenjie Ding},
title={Research on Valve Network Model for Complex Industrial Pipeline Networks},
booktitle={Proceedings of the 1st International Conference on Data Mining, E-Learning, and Information Systems - Volume 1: DMEIS},
year={2024},
pages={119-129},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012978300004536},
isbn={978-989-758-715-3},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Data Mining, E-Learning, and Information Systems - Volume 1: DMEIS
TI - Research on Valve Network Model for Complex Industrial Pipeline Networks
SN - 978-989-758-715-3
AU - Luo X.
AU - Zhou S.
AU - Zheng Y.
AU - Han X.
AU - Cao Y.
AU - Ding W.
PY - 2024
SP - 119
EP - 129
DO - 10.5220/0012978300004536
PB - SciTePress