Design And Implementation Of Dispatching Optimization And Intelligent Control System For Pump Group Of Urban Drainage Pumping Station

In recent years,heavy rain and other extreme weather frequently cause urban waterlogging,causing great pressure on urban drainage system.How to dispatch pumps in urban drainage pumping station by intelligent methods of control is one of hotspots in urban drainage intelligent dispatching research.In view of the phenomenon that manual control of pumps is still the main working mode in urban drainage system,a three-layer control model for urban drainage pumping station is designed and implemented in this paper to realize the automatic dispatching of water pumps according to rainfall.The data exchange method in the control model is also designed for the engineering implementation of the model.To improve the intelligent level of drainage system,this paper designs and implements a particle swarm optimization(Particle Swarm Optimization,PSO)based on distributed simulation platform(Distributed Simulation Platform,DSP)to realize the scheduling of pump groups.The main work of this paper is as following:First of all,this paper designs and implements the DSP-PSO algorithm for water accumulation prediction.The water accumulation data are calculated by Storm Water Management Model(Storm Water Management Model,SWMM)according to the measured rainfall of weather forecast,and the prediction method is constructed by DSP-PSO algorithm and forward neural network.DSP-PSO algorithm can solve the optimization problem quickly and accurately.So the algorithm is implemented by distributed simulation platform based on CPN network.The algorithm designs the communication mechanism and data exchange strategy between adjacent CPN nodes and updated strategy of the local CPN node.Using simulation data compares the prediction performance of BP neural network,PSO algorithm and forward neural network,as well as DSP-PSO algorithm and forward neural network.The experiment shows that the PSO is more accurate than the BP algorithm.DSP-PSO algorithm has similar performance to PSO algorithm,but it can obtain the solution of objective function more stably.Secondly,the DSP-PSO algorithm is also used to schedule the pump group.This paper try to find the best water level for each pump to start in order to keep the balance between running time of pump group.The pump group scheduling fitness function is designed by calculating the variance of pump group running time.And the DSP-PSO algorithm is compared with the PSO algorithm about the performance of finding the optimal solution.The experiment shows that the DSP-PSO algorithm can schedule the pump group better and faster than the PSO algorithm.Finally,this paper designs a data exchange method for the three-layer control model of urban drainage system and discusses the network delay of data exchange in three-layer control model.Based on WLAN,a three-layer control model of urban drainage pumping station is simulated.And this paper proposes methods for improving network stability.At last,an intelligent control system of drainage pump station is designed and implemented in this paper.The system operation shows that the designed control model architecture is applicable.Fig.[43] Table.[27] Ref.[53]...