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基于人工智能的供水网络水泵在水力和能源优化下的控制

Control of Pumps of Water Supply Network under Hydraulic and Energy Optimisation Using Artificial Intelligence.

作者信息

Studziński Jan, Ziółkowski Andrzej

机构信息

Systems Research Institute of Polish Academy of Sciences, Pl 01-447 Warsaw, Poland.

出版信息

Entropy (Basel). 2020 Sep 11;22(9):1014. doi: 10.3390/e22091014.

DOI:10.3390/e22091014
PMID:33286783
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7597088/
Abstract

This article presents several algorithms for controlling water supply system pumps. The aim of having control is the hydraulic optimisation of the network, i.e., ensuring the desired pressure in its recipient nodes, and minimising energy costs of network operation. These two tasks belong to the key issues related to the management and operation of water supply networks, apart from the reduction in water losses caused by network failures and ensuring proper water quality. The presented algorithms have been implemented in an Information and Communications Technology (ICT) system developed at the Systems Research Institute of the Polish Academy of Sciences (IBS PAN) and implemented in the waterworks GPW S.A. in Katowice/Poland.

摘要

本文介绍了几种用于控制供水系统水泵的算法。进行控制的目的是对管网进行水力优化，即在其受水节点确保所需压力，并将管网运行的能源成本降至最低。除了减少因管网故障导致的水损失以及确保合适的水质外，这两项任务属于与供水网络管理和运行相关的关键问题。所介绍的算法已在波兰科学院系统研究所（IBS PAN）开发的信息与通信技术（ICT）系统中实现，并在波兰卡托维兹的GPW S.A.自来水厂中应用。

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