矿山岩体破坏失稳预警云平台的搭建与应用

为实现矿山多源地质力学信息集成及矿山工程地质灾害预警,基于Java的轻量级框架Spring Boot及地理信息系统软件SuperMap搭建了一种包含矿山地质力学观测、监测数据可视化查询、岩体破坏失稳预警及预测3个模块的矿山岩体破坏失稳预警云平台,并将其应用于大孤山铁矿。研究表明:①以倾斜摄影测量数据、地质钻孔数据为基础建立了矿山三维模型,基于该模型开发了距离测量、面积测量、坡度测量、岩体结构面识别统计等功能,并结合Hoek-Brown准则建立了矿山岩体力学参数数据库,实现了岩体力学参数空间分布的三维可视化;②针对矿山环境复杂、监测设备及监测数据类型多样的特点,建立了高效、稳定的矿山多源监测数据实时远程传输与存储方法,实现了矿山多源监测信息在统一平台下的可视化查询;③基于矿山监测数据,分别应用模糊综合评价方法及时间序列模型对岩体破坏失稳的风险等级及监测数据未来的发展趋势进行了评级和预测,实现了岩体稳定性评价,为矿山灾害防控提供了决策依据。

Construction and Application of Early Warning Cloud Platform for Rock Mass Failure and Instability in Mine

In order to realize the integration of the mine multi-source geological mechanics information and the earlywarning of mine engineering geological disaster,based on the lightweight framework Spring Boot of Java and the geographic in-formation system software Super Map,a kind of early warning cloud platform for rock mass failure and instability in mine is setup and applied to Dagushan Iron Mine.This cloud platform contains three modules:mine geomechanics observation,visualquery of monitoring data,early warning and prediction of rock mass failure and instability.The study conclusions are as follows:(1)based on the tilt photography measuring data and geological drilling data,a 3 D mine model is built,and based on this mod-el,the function of distance measurement,area measurement,slope measurement,identification and statistics of rock massstructure surface are developed,combined with the Hoek-Brown criterion,the rock mass mechanical parameters database is es-tablished and the three-dimensional visualization of the spatial distribution of rock mass mechanical parameters is realized;(2)according to the characteristics of complex mine environment,diversified monitoring equipment and monitoring data types,anefficient and stable real-time remote transmission and storage method of multi-source monitoring data in mines is established,and the visual query of multi-source monitoring information in mines is realized on a unified platform;(3)based on the monitor-ing data of mine,the risk level of rock mass failure and instability and the future development trend of monitoring data aregraded and predicted by using the fuzzy comprehensive evaluation method and time series model respectively,therefore,rockmass stability evaluation is realized,which provides decision-making basis for mine disaster prevention and control.