摘要
对矿区开采沉陷预计的基本原理和Arc GIS?Engine编程的特点与方法进行阐述。结合概率积分法在矿区开采沉陷预计中的应用,探索矿区开采沉陷预计可视化的表达方法。在矿区沉陷监测数据管理和预计分析系统开发的基础上,应用C#语言进行Arc GIS?Engine组件式编程,实现了矿区开采沉陷预计的功能程序模块。将此功能模块与沉陷监测数据管理模块集成后,提高了工作效率。此方法可为后续软件的设计与开发提供借鉴。
This article first described the basic principle of mine subsidence prediction and the features and methods of ArcGIS Engine programming in detail.Combined with the application of probability integration method in mine subsidence prediction,the paper carried out the design of interfaces and classes based on the object-oriented thinking,and explored the visualized representation methods of mine subsidence prediction.On the basis of development of mine subsidence monitoring data management and prediction analysis system,using the C* language to program the ArcGIS Engine components,the paper realized the functional program modules of mine subsidence prediction.After the integration of function modules and subsidence monitoring data management module,this method was more convenient and efficient than traditional methods and could provide a reference for the design and development of subsequent software.
出处
《地理空间信息》
2015年第4期132-134,15,共3页
Geospatial Information
基金
国家科技支撑计划资助项目(2012BAH27B04)
高等学校博士学科点专项科研基金资助项目(20113718110001)
山东科技大学科研创新团队支持计划资助项目(2011KYTD103)
上海市科技型中小企业技术创新基金资助项目(1101H107900)