大数据背景下的矿山岩土工程勘查工作要点

Key points of mining geotechnical engineering survey in the context of big data

在矿山岩土工程中,勘查是最基本的施工步骤之一,它能帮助施工团队得到全面准确的资料,从而为矿山岩土工程的安全施工提供有力的保障。然而,传统的矿床地质调查工作却面临着数据获取困难和风险的挑战。大数据技术在地质研究中的应用,使大数据与地质调查相结合,建立了矿区地质调查模型,实现了矿区地质条件可视化,有效提高了地质调查效率,降低了调查风险。

In mining geotechnical engineering,surveying is one of the most basic construction steps,which can help the construction team obtain comprehensive and accurate information,thereby providing strong guarantees for the safe construction of mining geotechnical engineering.However,traditional geological surveys of mineral deposits face challenges in data acquisition and risks.The application of big data technology in geological research combines big data with geological surveys,establishes geological survey models for mining areas,realizes visualization of geological conditions in mining areas,effectively improves geological survey efficiency,and reduces survey risks.