A study of applying artificial intelligence to forecasting water level of pumping station and optimization of real-time operation at city drainage system
Date Issued
2009
Date
2009
Author(s)
Huang, Chien-Lin
Abstract
Pumping stations are the most important tools for flood mitigation in an urban area. When rainwater could not be drained off by gravity immediately, the pumping station is responsible for draining water from low-lying area to the river. The efficiency of pumping station operation takes great responsibility for preventing the damage of flood in the city. According to the above-mentioned viewpoint, this paper focus on forecasting the water level at pumping station and the best real-time operation of pumping machine at the drainage system of the city. The purpose of this paper is to invent two pumping station operation models. First model uses pumping machines real-time operation forecasting model to obtain pumping machines operation method. Second model first we apply back propagation neural network to forecast the water level at the front pool of Chung-Kong East pumping station. By the sensitivity analysis of the different time interval, we determine the best construction of water level forecasting model and the optimization time step of the real-time operation of the pumping station. In order to construct the optimization model of the real-time operation of the pumping station, we use tabu search and water level forecasting model to optimize the best real-time operation method of pumping machines in the historical typhoon and storm period. This research uses Chung-Kong-Da-Pai basin as a case study. The results of second model show that the lower water level of front pool of the pumping station and the higher efficiency of switch of the pumping machine, compared with the history operation record. It reveals that using tabu search to optimize the real-time operation can achieve the purpose of preventing the damage of flood and economic benefits at the same time.
Subjects
artificial intelligence
water level forecasting
optimization model
real-time operation
neural network
tabu search
Type
thesis
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