新疆钢铁2024,Issue(1) :104-106.DOI:10.20146/j.cnki.1672-4224.2024.01.034

例谈空天地深多源数据融合感知技术在矿山中的应用

Example Discussion on the Application of Multi-source Data Fusion Perception Technology for Space,Space,and Depth in Mines

李江涛
新疆钢铁2024,Issue(1) :104-106.DOI:10.20146/j.cnki.1672-4224.2024.01.034

例谈空天地深多源数据融合感知技术在矿山中的应用

Example Discussion on the Application of Multi-source Data Fusion Perception Technology for Space,Space,and Depth in Mines

李江涛1
扫码查看

作者信息

  • 1. 苏尼特金曦黄金矿业有限责任公司,内蒙古锡林郭勒盟 012500
  • 折叠

摘要

本研究介绍了在矿产开采中,地表形变监测对于生产安全以及环境稳定的重要性,并阐述了传统监测技术的局限性.通过使用空天地深多源数据融合感知技术,整合多维度数据,从而提高地表形变监测的准确率.结果表明,该技术与实地监测之间的最大误差仅为4.6%.该技术的应用对于矿山监测以及管理具备指导意义,能够提高地表监测的精度以及时效.

Abstract

This study introduces the importance of surface deformation monitoring for production safety and environmental sta-bility in mineral mining,and elaborates on the limitations of traditional monitoring techniques.By using multi-source data fu-sion perception technology,integrating multi-dimensional data,the accuracy of surface deformation monitoring can be im-proved.The results indicate that the maximum error between this technology and on-site monitoring is only 4.6%.The applica-tion of this technology has guiding significance for mine monitoring and management,and can improve the accuracy and timeli-ness of surface monitoring.

关键词

空天地深/多源数据融合感知技术/矿山

Key words

emptiness and depth/multi source data fusion perception technology/mine

引用本文复制引用

出版年

2024
新疆钢铁
新疆维吾尔自治区金属学会

新疆钢铁

影响因子:0.081
ISSN:1672-4224
参考文献量7
段落导航相关论文