摘要
传统矿山作业当中岩土工程勘察主要面临数据难以获取、实际勘察施工风险较大以及无法对真实矿山岩土状况进行全面准确描述等多方面难点。大数据技术的应用使得矿山作业中岩土工程勘察可以借助数据仿真模拟手段实现,利用大数据的数据整合方式,搭建BIM矿山场地模型,实现矿山岩土状况的全面可视化,提高岩土工程勘察效率,降低风险。
In traditional mine operations,geotechnical investigation mainly faces many difficulties,such as difficult to obtain data,high risk of actual investigation and construction,and unable to comprehensively and accurately describe the real mine geotechnical conditions.The application of big data technology enables the geotechnical investigation in mine operation to be realized by means of data simulation.Using the data integration mode of big data,BIM mine site model is built to realize the comprehensive visualization of mine geotechnical conditions,improve the efficiency of geotechnical investigation and reduce risks.
作者
张永权
ZHANG Yong-quan(Nonferrous Metals Geological Bureau of Guangdong Province 933 Battalion,Zhaoqing 526060,China)
出处
《世界有色金属》
2021年第18期186-187,共2页
World Nonferrous Metals
关键词
矿山
岩土勘察
大数据
BIM
mine
Geotechnical investigation
big data
BIM
作者简介
张永权,男,生于1991年,汉族,广东丰顺人,本科,岩土助理工程师,研究方向:岩土工程、工程地质、环境地质、水文地质。
