Study On Optimization Of Waterlogging Monitoring And Control Of Donghaochong Deep Tunnel Drainage System

When encountering heavy rain,Guangzhou is prone to waterlogging,having a great impact on urban traffic and resident living.It is difficult to expand and transform the drainage network in old city.In order to solve the problems of city waterlogging,Guangzhou carry out the construction and research of test section of Donghaochong deep tunnel drainage system.Because of the complexity of the deep tunnel drainage system and difficulty in management,there is no such project in our country.So it is necessary to explore the efficient and reasonable dispatching operation mode of the drainage system.This paper reviews the operation mode of foreign deep tunnel drainage system and situation of drainage and deep tunnel construction in our country.According to the drainage system and existing dispatching operation mode in Donghaochong basin in Guangzhou,the paper makes a study on waterlogging monitoring and control optimization of Donghaochong deep tunnel drainage system.The main research results are as follows.Combined with field investigation,statistical data of waterlogging and map of drainage network,the situation of 36 waterlogging points in Donghaochong basin in 2010-2014 is analyzed.Finally,12 monitoring points are added in upstream shallow drainage network of Donghaochong deep tunnel drainage system.The selected monitoring points can better reflect the waterlogging situation in the basin and can control waterlogging through the deep tunnel drainage system and shallow drainage sluice pumping stations,providing the necessary basic conditions for the waterlogging monitoring and control optimization of Donghaochong drainage system.Focusing on how to realize real-time monitoring and warning of waterlogging level,environmental features and shortcomings of waterlogging monitoring on road,a set of waterlogging level monitoring system is designed and built based on water supply and drainage,Internet of things and automation technology.Through test and run,the system can effectively achieve the monitoring of waterlogging level,data collection of equipment and working conditions,wireless remote transmission,online inquiry of waterlogging level and calls of historical data.It also can achieve the optimization of waterlogging monitoring of Donghaochong deep tunnel drainage system and provide real-time and accurate data for optimization of Donghaochong deep tunnel drainage system.Variation of liquid level is analyzed based on measured level data of waterlogging monitoring points.By using BP neural network,the relational model between the waterlogging points of Ziyugang margin in Donghaochong basin,deep tunnel drainage system and water level changes in shallow drainage sluice station is built.Through the analysis of the calculation results of the model,the water level of the deep tunnel of Dongfeng Road shaft is improved from 7.50m(urban construction elevation)to 8.38m(urban construction elevation),and the control of waterlogging can be carried out by using the shallow sluice station.Optimization can reduce the uses of deep tunnel drainage system and reduce its operation and maintenance costs,so as to provide a scientific and effective method to explore efficient and reasonable deep tunnel drainage system.