基于物联网智能配水网络的生物算法优化供水调度机制

S. J, M. Kowsigan
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引用次数: 0

摘要

供水管网的目的是为城市居民供水。即使在气候变化和降水减少的情况下,供水系统也应该满足消费者的需求。水分配网络(WDN)由管道、阀门、水泵、水箱等组成,将饮用水从水库输送到消费者节点。物联网(IoT)和信息通信技术(ICT)被应用于水管理系统(WMS),使其更智能、更高效。水系统物理设备配备智能传感器和控制器,通过智能传感器实时采集远程数据,如智能抄表、水箱液位、阀门状态、管道压力率等,并通过通信协议广播到云端。然后可以对这些数据进行检查、处理和计算,以便水务管理委员会就WDN系统中的供水调度做出理想的决定,以最大限度地降低水泵的运行成本并减少水的损失。智能移动设备被用来通知消费者他们的用水量和账单状态。本文将详细阐述为优化配水管理系统的水资源调度模型所执行的优化算法。通过考虑泵的启动时间、排放时间和排放能力等特征,采用仿生算法优化泵站调度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimal Water Supply Scheduling Mechanisms using Bio-Inspired Algorithms for IoT-based Smart Water Distribution Network
The purpose of water distribution networks is to provide water to city residents. Even with climate change and decreasing precipitation, water distribution systems should be built to accommodate consumer demand. A Water Distribution Network (WDN) consists of pipes, valves, pumps, tanks, etc., to transfer potable water from reservoirs to consumer nodes. Internet of things (IoT) and information and communication technologies (ICT) are applied to water management systems (WMS) to make them smarter and more efficient. The physical devices of the water system are equipped with smart sensors and controllers so that real-time measurement of remote data such as smart meter reading, water tank level, valve condition, and pipe pressure rate can be gathered using smart sensors and broadcasted to the cloud via communication protocols. The data can then be examined, processed, and computed for the water authority board to make an ideal decision regarding the water supply scheduling in the WDN system to minimize the pump's operation cost and decrease water loss. Smart mobile devices are being utilized to inform consumers regarding their water usage and billing status. This paper will elaborate on the optimization algorithms performed to optimize the water resource scheduling model for the water distribution management system. Bio-inspired algorithms are used to optimize pump stations' scheduling by considering the pump's features like its start time, discharge time, and discharge capacity.
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