摘要
针对巷道变形预测可视化识别程度不高的问题,提出了一种将神经网络巷道变形预测算法与矿井立体矿图信息管理系统相结合的方法,利用三维立体矿图系统实现巷道预测变形的动态可视化识别,并对巷道可控变形范围进行预警阀值设定,系统可及时发出相应的预警信号,为工程人员进行相应的巷道支护方案设计及施工决策提供了重要的指导信息。
Aiming at a problem that predicting the roadway deformation the visual recognition degree is not high, proposes a method that roadway deformation neural network prediction algorithm combining the three-dimensional mine system. Using three dimensional mine map realizes the dynamic visual recognition of predicting the roadway deformation, and according to the requirements of the roadway supporting parameters on roadway deformation controllable range early warning threshold set, the system will send out the corresponding timely warning signal, provides the important guidance of engineering personnel for the roadway support design and construction of decision.
出处
《煤炭技术》
CAS
北大核心
2016年第12期87-89,共3页
Coal Technology
基金
国家自然科学基金项目(51504005)
关键词
立体矿图
巷道变形预测
软件系统
可视化
stereogram
prediction of roadway deformation
software system
visualization
