[1]张俊,尤岚,黄继会,等.泵站区域协同调度用于苏州城区污水管网低水位运行[J].中国给水排水,2021,37(4):106-109.
　ZHANG Jun,YOU Lan,HUANG Ji-hui,et al.Application of Regional Co-scheduling of Pumping Stations in Low Water Level Operation of Suzhou Urban Sewage Pipeline Network[J].China Water & Wastewater,2021,37(4):106-109.
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泵站区域协同调度用于苏州城区污水管网低水位运行

中国给水排水[ISSN:1000-4062/CN:12-1073/TU] 卷: 第37卷 期数: 2021年第4期 页码: 106-109 栏目: 出版日期: 2021-02-17
Title:
Application of Regional Co-scheduling of Pumping Stations in Low Water Level Operation of Suzhou Urban Sewage Pipeline Network
作者:
张俊1，尤岚1，黄继会1，姜建君1，王伟1，沈寅杰2，陈命强2
(1.苏州市排水有限公司，江苏苏州215000；2.浙江浙大中控信息技术有限公司，浙江杭州310053)
Author(s):
ZHANG Jun1,YOU Lan1,HUANG Ji-hui1,JIANG Jian-jun1,WANG Wei1,SHEN Yin-jie2,CHEN Ming-qiang2
(1. Suzhou Drainage Co. Ltd., Suzhou 215000, China; 2. Zhejiang Supcon Information Co. Ltd., Hangzhou 310053, China)
关键词:
协同调度; 错峰输排; 预降水; 污水管网; 低水位
Keywords:
co-scheduling; staggered output; pre-precipitation; sewage pipeline network; low water level
摘要:
实行泵站区域协同调度，能够实时预测污水量变化，用水高峰期通过错峰输排均衡片区转输水量，用水低谷期通过预降水腾出管网调蓄空间，更好地保障污水管网低水位运行，降低污水入河风险，增加污水厂处理水量，实现污水应收尽收。在效能方面，系统通过数据的实时采集、传输、汇聚，经实时计算分析引擎，即排水系统的负荷分析、水量均衡分析、水位预调分析和溢流风险分析，提供最佳的泵站水位控制值及相应的水泵运转方式，使得转输能耗降低、响应速度提升。
Abstract:
Regional co-scheduling of pumping stations can predict sewage quantity changes in real time, balance transferred quantity through staggered peak transfer during peak water consumption, and spare out the storage space through pre-precipitation during low peak water consumption, so as to better guarantee the operation of sewage pipe network at low water level, reduce the risk of sewage entering the river, increase the amount of water treated in the sewage plant, and realize the whole collection of stipulated sewage. In terms of efficiency, the system provides the best pump station water level control value and the corresponding pump operation mode to reduce transfer energy consumption and increase response speed, through real-time calculation and analysis engine, namely drainage system load analysis, water balance analysis, water level pre-adjustment analysis and overflow risk analysis based on real-time data collection, transmission and aggregation.
更新日期/Last Update: 2021-02-17