The Design And Implementation Of Information Platform For Water Supply Of The Emergency Warning

Nowadays, productivity and efficiency in every work of life are greatly enhanced andcreate more social values by information technoloy with IT progressing with each passing daypushing the ear forward. In order to cope with the unexpected situations of Shanghai watersupply scheduling and to protect Shanghai's drinking water supply, we established the watersupply of the emergency warning. We builded the appropriate emergency management andassisted decision-making systems, strengthened the organization managements and capacitybuilding, improved emergency response and disposal capacity to respond to unexpectedincidents of various types of water supply scheduling in order to ensure rapid and effectivescientific decision-making to protect the event of a sudden accident.The topic is based on the basic issues of water supply in Shanghai City, the developmentof information platform for water supply of the emergency warning. In the water supply inShanghai City to conduct detailed research and demand analysis, based on the systemdevelopment and design.The water supply of the emergency warning for urban planning, water supply systemmanagement and the guidance of the constructions for urban water supply facilities has animportant significance. As our cities and industrial productions have been expanding, thewaters have restricted the survival and development of the city. Therefore, a reasonable waterpressure prediction, invasion of time for the salt tide, the raw water changes and the waterquantity,for the rational allocation of existing water resources, new or modified expansion ofwater factories provide a reliable basis, it is actually close to urban development, extremely important to ensure the economic and sustainable development of cities. The core technologyof topic is based on the neural network algorithm and the support vector machine algorithm.The artificial neural network is highly integrated neuroscience-based research and theemerging interdisciplinary development of many disciplines of computer science andmathematics. The forecast is an important branch of the artificial neural network applications.The support vector machine algorithm is a nonlinear mapping, the input vector is mapped tohigh dimensional feature space for constructing the optimal decision function, the use of thekernel function of the original space to replace the dot product of the high dimensional featurespace.The system uses the B/S three-tier architecture and uses the WEBGIS technology and theUML standard modeling language, the formation of easy system expansion, upgrade andmaintenance of good software architecture, based on J2EE and component reuse technologysolutions, ensuring the system portability. On system requirements, use case analysis, toestablish a good scalability, maintainability of the system frame structure.Main achieved for the system the pressure distribution of values, invasion of time for thesalt tide, the raw water data and the water quantity, the development of the database query,information browsing, user management component. In the system development process,through the reuse of these components to accelerate the speed of system development andreuse parts of the system provides the stability, reliability, assurance, thereby improvingsystem quality.This introduction is to describe a information platform for water supply of the emergencywarning based on J2EE,STRUCTS,HIBERNATE,WEBGIS technology,neural networkalgorithm and support vector machine algorithm,which is a water supply imformationarchive replying on SQL2005as database. Its main function includes:1. the module of the pressure warning.2. the module of the salt tide warning.3. the module of the raw water alarm.4. the module of the water quantity prediction.