Research on full-cycle sharing method of natural resources big data based on middle platform architecture

Research on full-cycle sharing method of natural resources big data based on middle platform architecture

연구 분야: Databases

학회: Multimedia Tools and Applications

Natural resources refer to the sum of natural environmental factors that exist naturally, have use value, and can be classified into current and future well-being. In order to realize the sharing of natural resources big data, this paper puts forward a full-cycle sharing method of natural resources big data based on the middle platform architecture. Build an analysis model of spatial distribution, time change and attribute characteristic parameters of natural resource big data response, obtain the characteristic quantity of cross-space coverage of natural resource change and state, establish the middle platform architecture system of resource big data by the method of natural resource collaborative perception, and realize the joint acquisition of natural resource big data by the method of aviation acquisition, ground observation and professional monitoring. Build a natural resources spatio-temporal database with business elements connected, rich thematic information and multi-scale integration, and solve the problems of interconnection, dynamic convergence and effective integration of multi-source business information of natural resources big data. Through high-level spatio-temporal cognition and processing, the spatio-temporal distribution law of natural resources can be obtained, and the full-cycle sharing of resource big data can be realized. The test results show that this method has good time–space coupling and strong conflict coordination and resolution ability for the full-cycle sharing of resource big data, and it has a good application value in the simulation, optimization and regulation of different scenarios of natural resources development, utilization and protection.