Review of Intelligent Decision-Making Technologies for Urban Drainage System

Abstract:

Smart decision-making is the key technology of smart water systems. This paper reviews the realization of intelligent decision-making of urban drainage systems from pipe network diagnosis and evaluation， urban waterlogging prevention and control， and overflow pollution control in rainy days. For drainage pipe detection and assessment， the technical methods for source flow tracking based on water flow and chemical markers monitoring at divided sub-catchments were evaluated. For urban flooding control， the techniques of elaborate simulation of flooding risk area using numerical model， and the real-time forecast of precipitation and local flooding depth using machine-learning method were reviewed； for the drainage overflow pollution control， the optimal control of urban drainage system based on the integration of multi-objective algorithm， numerical model， and machine-learning were discussed. It is proposed that the reliability of the modeling system is the key for smart decision-making in urban drainage systems. Therefore， attention should be paid to the integration of quantitative analysis of water sources in the pipe network and waterlogging risk early warning and optimal operation scheduling of drainage systems.