Study On Land-Reclaim Of Mining Subsidence Zone Based On Digitalization

In China Coal is one of main resources and accounts for 70 percent in the structure of once-resource. Therefore coal industry plays an important role in the development of national economy. However exploration of coal resource does not only bring about great advantages, but also disadvantages to environment which man lives in. how to deal with resource exploring and environment protecting at the same time and realize sustainable development of region economy are critical to our country.Aiming at surface subsidence in the process of exploring and after that, This thesis builds the model of mining ecological environmental disruption evaluation and utilizes the method of fuzzy associative memory neural network land evaluation to direct and plan land-reclaim task, and then by means of GIS software ARC/INFO to set up visual management information system, and to realize the visualization of subside area.According to actual conditions of Yanzhou mining area, advanced survey and drawing instrument (Total Station, GPS) are used to capture data, and ARC/INFO software to manage and analyze data. The data interface questions of Total Station, GPS with ARC/INFO have been studied also. As a result, application of case study has completed well and obtained good practical results.Furthermore, it provides theoretical support and technological method for overall innovation of mine subsidence areas, at the same time provides information resource for "digital mine" .