Distributed Information And Decision-making Support System For Earthquake Disaster Reduction

In this paper, there has comprehensively studied and analyzed the methodology of designing, technological skeleton, system setting, theory model, system integrating and so on, for a WebGIS based distributed Daqing Oil Field Information and Decision-making Support System for Earthquake Disaster Reduction. (1) A methodology for distributed earthquake disaster reduction system is well developed and discussed. After the reviewing on the distributed computer technology, based on the goal and principle of system construction and based on the systematism theory, the steps, methods, technological schemes, function models, and whole structures during the system foundation are established by UML language, flow chart and so on. After well studying and analyzing, the technique skeleton, software platform, hardware design, database model and structure, security measures and general report of the system are presented. (2) Based upon the PC Daqing Oil Field Information and Decision-making Support System for Earthquake Disaster Reduction, a distributed technological skeleton of earthquake disaster reduction system is constructed. Based on the computer network technology, the foundation of distributed Information and Decision-making Support System for Earthquake Disaster Reduction is a great and complicated project, which includes of not only feasibility demonstration, surveying, primary general design, interface design, structure design, detailed design, software development, followed integration, debugging, testing, etc. but also the necessary assistance of each management administrations who have a lot of foundation information. Furthermore, as constructing a system project, a plan of management includes of subproject, job time, job schedule, members'distribution, etc is also needed. The project is so big that it is impossible to spend some money to finish by several people or organizations in a few years. So utilizing a finished production, a PC Daqing Oil Field Information and Decision-making Support System for Earthquake Disaster Reduction, we built a technical skeleton of WebGIS based distributed Information and Decision-making Support System for Earthquake Disaster Reduction in a local net, and based on this skeleton, we will upgrade the PC version to net one. (3) WebGIS based Distributed Information Management and Enquiry System skeleton is founded. Different basic data store in each server or service, simulated as different manage unit. Through software, such as ArcIMS, ArcSDE, etc. and computer language like html, SML, java, etc., could make interface program and could manage and enquire those distributed data and could generate a physically distributed and logically uniform skeleton of basic database. (4) A application model is done for losses evaluating System of Post Earthquake Emergency Response by distributed processing technology. Spatial data store in different table spaces or services, simulated as different unit where maintain, update or utilize each data separately. Once earthquake occurs, earthquake administration can access and utilize variety data rapidly by privilege through a net, and can calculate earthquake losses and make a decision. Each local unit can also make proper measures himself. WebGIS server provides several services, such as data storage, map display, spatial analysis, model management, catalog index, etc. The incompatible problems between different operation systems and communication protocols, SQL language, or logical application can be solved by middleware and java language, etc. The security of a system can be looked after by security category, IP address control, etc. (5) A distributed earthquake disaster reduction database is built. For geographic information has spatial attribute and relevancy, based upon the distributed database theory, in the system skeleton, first use Arcview3.2 converse basic data stored in layers into shape files. Then mainly utilizing ArcCatalog8.3 and ArcSDE, store necessary data as table type into Oracle database through many complicated calculations.