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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 the problem of low visual recognition degree of roadway deformation prediction, this paper proposes a method of combining the forecasting algorithm of roadway deformation with neural network and the information management system of mine solid mine. The dynamic visual recognition of roadway prediction deformation is realized by using the three- , And sets the warning threshold for the controllable deformation range of the roadway. The system can send corresponding early warning signals in time to provide important guidance information for engineering personnel to carry out the corresponding roadway support plan design and construction decision.