基于GIS的开采沉陷预测系统构架研究

Research on GIS-Based Prediction System Architecture for Mining-Induced Subsidence

为了提高开采沉陷预测精度及其可视化程度,对基于G IS的开采沉陷预测系统构架进行了研究。通过对常用开采沉陷预测模型及集成方式的对比研究,选用基于碎块体理论的威布尔分布法的标准形式作为预测模型,利用基于组件对象模型技术的集成方式进行系统构架。给出了开采沉陷预测系统整体构架框图,并利用栅格技术,通过对地表网格点的计算实现了G IS环境下的开采沉陷预测。通过G IS强大的空间迭加分析功能对预测结果进行深入的分析,为研究开采沉陷规律以及对周围环境的影响提供科学依据。

In order to improve the prediction accuracy and visualization for mining-induced subsidence, research was made on the architecture of GIS-based prediction system for mining subsidence. By comparing the commonly used prediction models for mining subsidence and models of integration, the standard form of Weibull distribution method based on the shiver theory was selected as the prediction model and the integration mode based on the component objective model was used in framing the system. The whole frame of the prediction system for mining subsidence was given and the grid technology was used to realize the mining subsidence prediction in a GIS environment by calculating the grid points of ground surface. Deep analysis was made of the prediction results using GIS powerful space superposition analytical function so as to provide a scientific basis for the research on the mining subsidence law and its effect on the surrounding environment.