Research And Practice On The Optimal Design Of Sewage Network In Jiangnan New Town

Sewage pipeline construction is the lifeline project of the city,is concerned with the long-term growth of the national economy and social municipal infrastructure.Sewage transported to the sewage treatment plant,treated by a combination of processes,water quality purification and then discharged are inseparable from the pipe network,pipe network engineering construction costs are high,how to scientifically and rationally plan the layout of sewage pipe design from the whole basin range is quite important,therefore,sewage collection pipe network engineering design optimization has important practical significance.The existing research on optimization of sewage pipe network under genetic algorithm is mostly used in small-scale projects,and there are fewer large and mediumsized ones.In addition,natural selection cannot be perfectly replicated by the genetic algorithm,It’s also tough to avoid local optimization issues,premature maturity and single population.Therefore,by studying the fixed crossover and mutation probability in the enhanced algorithm’s genetic operator,the wastewater design flow rate,flow rate and fullness are obtained,and the hydraulic conditions are checked repeatedly,so as to form and determine the feasible set of pipe diameter solutions satisfying the hydraulic conditions.The optimization of the fundamental genetic method was compared,the analysis and the convergence optimum can be quickly obtained to form a less costly drainage design solution.Then use the improved adaptive genetic algorithm to optimize the design of the sewage pipe network of Jiangnan New Town,compared with the basic genetic algorithm,to find a relatively reasonable cost solution for the design of the sewage pipe network.Taking the optimized design of wastewater pipe network in Jiangnan New City as the research object,the theoretical achievements of sewage pipe network optimization at home and abroad are carefully studied and summarized,and after determining the type of pipe laying,material selection and pipe length,a nonlinear mathematical model for the optimized design of sewage pipe network is established and an improved adaptive genetic algorithm is proposed for the optimized design of non-full flow gravity pipe network.The reasonableness of the established mathematical model and the proposed solution method are verified through example analysis,thus providing a theoretical and practical basis for the optimization of sewage pipe networks.