Optimized Controling Strategy of Wastewater Trunk Pipelines Based on Hydrodynamic Model and Big Data Analysis
With the rapid development of urbanization at home and the gradual improvement of national wastewater treatment requirements,the urban wastewater drainage system is becoming more and more complex.As a result,it is increasingly difficult to rely solely on manual experience to operate and optimize the scheduling of the wastewater system.Taking the wastewater system in Bailonggang of Shanghai as a case,this paper innovatively proposed a technical scheme for optimal scheduling of wastewater trunk system by coupling historical big data analysis with hydrodynamic model.The scheme excavated the opening and closing strategy of each pump station without overflow in the WWTP through historical big data,and put this strategy into a drainage model with strict rate verification for evaluation.The optimization scheme obtained so far.Based on modelling,the number of dry overflow days at the Bailonggang WWTP in the entire 2021 could be reduced from the current 58 days to 50 days.This optimization was piloted in 2022.And it reduced the total overflow volume by 13％during the two months of the trial compared to 2021.Based on this case analysis,a method for obtaining optimal scheduling strategies for urban wastewater backbone systems is finally summarized.
wastewater trunk modelbig data analysisoptimized controlingdata extractioncalibration and validation
万方数据
维普
