Design And Implementation Of Water Suppply Network Early Warning System Based On Dynamic Hydraulic Model

With the acceleration of urban modernization,water supply network as an important infrastructure,shouldering the task of the safe delivery of qualified water to each user.Its status is more and more important.Once the pipe network burst pipe,leakage and other incidents,it will seriously affect people's lives and production,resulting in huge economic losses.It is difficult to meet the requirements by traditionally monitoring the unsafe state of the water supply network by labor and experience.In order to ensure the safe and efficient operation of the water supply pipe network,many cities have begun to devote their financial resources and energy to build or improve the dynamic hydraulic model of the pipe network,and carry out the simulation of the running state of the pipe network,Which provides a model basis for intelligent management of water supply pipe network.Based on the construction of intelligent management platform of water supply network,this paper designs and studies the water supply network early warning system based on dynamic hydraulic model after careful investigation of the demand of water supply pipe network early warning work.The system simulates the running status of the pipe network based on the dynamic hydraulic model simulation,introduces the real-time monitoring data of the SCADA system,can check the hydraulic model online and ensure the dynamic real-time precision of the hydraulic model.While it can also analyze the accident of the explosion,and get the impact of the scope of the accident and the treatment program.Through forecasting the future water demand,it can provide decision-making basis for optimal water supply dispatching;It can alert the pressure of the pipe network,to ensure the safety of the pipe network.It can analyze the loss of pipe network and the loss of positioning,for the timely repair of pipe network to provide protection.After testing,the system stable operation,to meet the water supply network early warning work intelligent management needs.