Based On The Mobile Client Urban Waterlogging Warning System Design And Implementation

In recent years,social economy has been developed rapidly as well as the process of urbanization,but the urban internal inundation is becoming great.For resolving the problem,and based on information construction,it is a feasible method of building inundation pre-warning system.However,the keys of successfully applying the method are real-time warning and treatment efficiency.Based on the research reality of the convenience and real-time feature of smart phone,this paper aims at solving the issue of real-time transmission and feedback of pre-warning information.First,the paper dealt with current foreign and domestic research situation of the topic and gave necessary statements.Then,there was a research on the real-time feature of information transmission,which proposed the intercommunication model of long connection combined with transmission and polling,and made an analysis research on the proposition and choice of inundation pre-warning model.It designed and realized the interactive inundation system based on client end and server framework.At the same time,the pre-warning accuracy of pre-warning was improved.It also proposed the interactive mechanism for customer confirming on site and reporting,and the GIS technology was used to add the pre-warning information to the dynamic map.At last,it passed the test and proofed the proposed long connection method and the accuracy of inundation pre-warning information.The test result demonstrated this design could meet the practical demand,and the system was feasible.The main tasks include:(1)researching and using of the portability and interactivity characteristics of Internet terminals to make up the deficiencies caused by insufficient deployment of relevant departments;(2)researching a method that can delay less time and use recourses efficiently of resources,so as to pass the early warning information to the user in the first place;(3)using data from rainfall,depth of water logging and water level of the pumping station to study the modeling to predict whether the waterlogging disaster will occur or not.