| 引用本文: | 王昊,张永祥,唐颖,刘宇,李凯旋.雨水泵站水泵机组启停优化[J].哈尔滨工业大学学报,2017,49(8):98.DOI:10.11918/j.issn.0367-6234.201609076 |
| WANG Hao,ZHANG Yongxiang,TANG Ying,LIU Yu,LI Kaixuan.Optimization of pump start-stops in rainwater pump station[J].Journal of Harbin Institute of Technology,2017,49(8):98.DOI:10.11918/j.issn.0367-6234.201609076 |
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| 雨水泵站水泵机组启停优化 |
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王昊1,2,张永祥1,2,唐颖1,2,刘宇1,2,李凯旋1,2
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(1.北京工业大学 建筑工程学院,北京 100124;2.水质科学与水环境恢复工程北京市重点实验室(北京工业大学),北京 100124)
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| 摘要: |
| 为解决雨水泵站运行过程中存在的水泵频繁启停问题, 提出一种水泵机组启停优化方法.该方法通过分析泵站的设计参数和水泵机组运行原理, 建立启泵水位优化模型, 并运用暴雨洪水管理模型(storm water management model, SWMM)和粒子群优化算法(particle swarm optimization algorithm, PSO)对模型求解, 最终得到水泵机组的最优启泵水位.通过实例将优化方法与传统的人工调试方法进行对比, 验证了其可行性.研究结果表明：采用优化方法得到的启泵水位可使机组启停次数达到最小, 实现了较好的水泵启停效果.同时优化方法也避免了复杂的人工调试过程, 得出的优化结果为雨水泵站启泵水位的选取提供参考
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| 关键词: 雨水泵站 启停优化 暴雨洪水管理模型 粒子群优化算法 最优启泵水位 |
| DOI：10.11918/j.issn.0367-6234.201609076 |
| 分类号:TU992 |
| 文献标识码:A |
| 基金项目:国家科技支撑计划项目(2011BAC12B00) |
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| Optimization of pump start-stops in rainwater pump station |
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WANG Hao1,2,ZHANG Yongxiang1,2,TANG Ying1,2,LIU Yu1,2,LI Kaixuan1,2
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(1.College of Architecture and Civil Engineering, Beijing University of Technology, Beijing 100124, China; 2.Key Laboratory of Beijing for Water Quality Science and Water Environment Recovery Engineering（Beijing University of Technology）, Beijing 100124, China)
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| Abstract: |
| A pump start-stops optimization method was proposed to realize the frequent start-stops in rainwater pump station. Through analyzing the design parameters and operation principles, the optimization model of pump start water level was obtained by SWMM(storm water management model) and PSO(particle swarm optimization algorithm). The feasibility of the optimization method was verified by comparing with manual debugging method. The research results show that the optimization method can minimize the start-stop frequency, achieve a better effect of bump start-stops and get rid of the complex manual debugging process, which will provide reference for the pumping water level selection of rainwater pumping stations
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| Key words: rainwater pump station start-up optimization storm water management model (SWMM) particle swarm optimization algorithm (PSO) optimal pump start water level |
