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作者:

Wang, Hao (Wang, Hao.) | Zhang, Yongxiang (Zhang, Yongxiang.) (学者:张永祥) | Tang, Ying (Tang, Ying.) | Liu, Yu (Liu, Yu.) | Li, Kaixuan (Li, Kaixuan.)

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摘要:

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. © 2017, Editorial Board of Journal of Harbin Institute of Technology. All right reserved.

关键词:

Genetic algorithms Particle swarm optimization (PSO) Pumps Storms Water levels Water management

作者机构:

  • [ 1 ] [Wang, Hao]College of Architecture and Civil Engineering, Beijing University of Technology, Beijing; 100124, China
  • [ 2 ] [Wang, Hao]Key Laboratory of Beijing for Water Quality Science and Water Environment Recovery Engineering(Beijing University of Technology), Beijing; 100124, China
  • [ 3 ] [Zhang, Yongxiang]College of Architecture and Civil Engineering, Beijing University of Technology, Beijing; 100124, China
  • [ 4 ] [Zhang, Yongxiang]Key Laboratory of Beijing for Water Quality Science and Water Environment Recovery Engineering(Beijing University of Technology), Beijing; 100124, China
  • [ 5 ] [Tang, Ying]College of Architecture and Civil Engineering, Beijing University of Technology, Beijing; 100124, China
  • [ 6 ] [Tang, Ying]Key Laboratory of Beijing for Water Quality Science and Water Environment Recovery Engineering(Beijing University of Technology), Beijing; 100124, China
  • [ 7 ] [Liu, Yu]College of Architecture and Civil Engineering, Beijing University of Technology, Beijing; 100124, China
  • [ 8 ] [Liu, Yu]Key Laboratory of Beijing for Water Quality Science and Water Environment Recovery Engineering(Beijing University of Technology), Beijing; 100124, China
  • [ 9 ] [Li, Kaixuan]College of Architecture and Civil Engineering, Beijing University of Technology, Beijing; 100124, China
  • [ 10 ] [Li, Kaixuan]Key Laboratory of Beijing for Water Quality Science and Water Environment Recovery Engineering(Beijing University of Technology), Beijing; 100124, China

通讯作者信息:

  • [wang, hao]key laboratory of beijing for water quality science and water environment recovery engineering(beijing university of technology), beijing; 100124, china;;[wang, hao]college of architecture and civil engineering, beijing university of technology, beijing; 100124, china

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来源 :

Journal of Harbin Institute of Technology

ISSN: 0367-6234

年份: 2017

期: 8

卷: 49

页码: 98-103

被引次数:

WoS核心集被引频次: 0

SCOPUS被引频次: 5

ESI高被引论文在榜: 0 展开所有

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