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Data-based Modeling of Urban Sewage Pumping System and a Study on Control Application

Author: ZhangXueTong
Tutor: XueAnKe；XuZhe
School: Hangzhou University of Electronic Science and Technology
Course: Detection Technology and Automation
Keywords: Sewage pumping station system Data Modeling Simulation system Fuzzy Control
CLC: TU992.25
Type: Master's thesis
Year: 2011
Downloads: 40
Quote: 0
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Abstract

Urban sewage pumping station system is the subject of urban infrastructure, urban survival and development of the \But in China, the city prevalent sewage pumping station system is imperfect, pipe network construction is lagging behind, the emission is not strong and other issues, causing serious environmental pollution, in addition, the current pump system, the majority of level control, The method easily lead to sewage spills and waste of energy, and can not be adjusted according to the trend of water level changes in a timely manner pump water to avoid the overflow of sewage, so it is necessary to optimize the traditional control methods. The establishment of a sewage pumping station model is to achieve optimal control of important technical pumping station, the urban sewage flows by crowd behavior, rainfall and even the pipeline leak, reflux, and many other factors, resulting in serious non-linearity of the system, at the same time, the input pumping station sewage uncertainty and hysteresis characteristics, resulting in sewage pumping station system modeling difficult. This paper aims to establish an accurate and reliable sewage pumping station data model and its simulation system and the research was supported by an effective energy saving pumping station optimization control technology. The main contents are summarized as follows: (1) pump system modeling based on the data of the city: according to the of Gelormino pipeline LTI discrete model, combined with the actual derivation of the feasible generalized data model, system identification methods: 1) data mining technology model structure clustering; 2) using correlation analysis techniques to determine the model structure; 3) using the method of least squares and the fading memory recursive least squares method parameter identification and online identification. The example shows that the method established data model can be well simulated and predicted pumping stations sewage inflows, the total sewage and water level changes, the operation and management can be used to guide urban sewage pumping station. (2) sewage pumping station analog control system design and implementation: the first step in the theoretical analysis, sewage pumping station to establish a data-based system model, the system developed in this paper is more convenient modeling and simulation simulation simulation monitoring of the sewage pumping station systems. B / S architecture technical development of the system, convenient maintenance and easy integration with other information systems integration. The system implements the entire modeling process, including model clustering, correlation analysis, data modeling, and simulate its operation. Intuitive data modeling each pumping station of the sewage pumping station system and verify the validity of the model. (3) Research based on fuzzy control method of urban sewage pump system optimal control problem: in the Data Model based on the model level forecast trends and pumps the actual experience of the operator, and give full consideration to the pumping station upstream and downstream the drainage pumping station based on fuzzy control optimized control technology, in the the minimum overflow case, the less total energy consumption target, and reduce the occurrence of frequent pump start and stop operation.

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CLC: > Industrial Technology > Building Science > Municipal Engineering > Drainage works ( ditches works,sewer works) > Channel systems > Sewage pumps and drainage pumping station
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