The Development Of Urban Drainage Pipeline Network(waterlogging) Monitoring System And The Optimization Of Urban Waterlogging Monitoring Points

In recent years,the number of disasters caused by waterlogging has increased.Many cities have to face the waterlogging when it rains. In view of the problems in the area of urban waterlogging management,it is essential to improve the effectiveness and timeliness of urban waterlogging management with the utilization of computer technology,which meets the requirement of urban waterlogging prevent management.This paper allows for operational characteristics of drainage pipeline network management,analysis the function and performance of urban drainage pipeline network(waterlogging) monitoring system,proposes urban drainage pipeline network(waterlogging) monitoring system design.The system is composed of monitoring center, communication network(GPRS, Zigbee network, WIFI, GSM, Internet) and the monitoring remote terminal unit which is also called RTU and consists of site monitoring and control module, communication gateway,GPRS-DTU.The site monitoring and control module and the communication gateway are developed by South China University of Technology. This system can effectively implement the automatic acquisition of cities waterlogging monitoring data ? the early warning of waterlogging disaster and the find of problems in advance,which helps to carry out timely and effective scheduling control.In this paper,the test of urban drainage pipeline network(waterlogging) monitoring system on the laboratory waterlogging points.The results show that the system can satisfy the actual need of urban waterlogging monitor and control and promote the automatic and scientific process of drainage pipeline network management.Arranging the positions of urban waterlogging monitoring points reasonably is the premise of urban waterlogging monitoring management. A model, which is base on the Grey Correlation Analysis Method and TOPSIS Analysis Method and merges their superiority has been proposed to apply to the optimization of monitoring points of urban waterlogging. The model is simple, effective and easy to program.Tthe model is used to make an analysis of waterlogging data of a river in Guangzhou in July 2013 and select 10 waterlogging monitoring point. An analysis on the cause of waterlogging disasters of these 10 points is also given.The results indicate that the new model is more comprehensive and practical when it apply to the optimization of urban waterlogging monitoring points, compared with the Grey Correlation Analysis Method or TOPSIS Analysis Method. In the practical application of these three methods can be reference and complement to each other, making the optimization result of urban waterlogging monitoring points more scientific and reasonable.