期刊文献+

大数据背景下矿山测绘地理信息检测 被引量:1

Mine surveying and mapping geographic information detection under the background of big data
在线阅读 下载PDF
导出
摘要 近年来,大数据技术逐渐成熟发展,广泛应用在科技、金融、教育、矿山等各个行业领域中,尤其是在矿山行业发挥着显著优势。矿山测绘地理信息作为国家资源信息中至关重要的内容,能够为矿产资源开采提供可靠的参考依据,矿产资源的开采有利于我国工业产业的高质量发展和升级转型,并为经济安全和国防安全提供战略性保障。将大数据技术应用在矿山测绘行业,在一定程度上促进了矿山测绘地理信息的全面发展,不仅有效保障了地理信息检测准确性和检测质量,也使得矿山测绘工作的整体水平显著提升,而且能够综合利用矿山测绘地理信息,为矿山测绘地理信息检测工作提供极大便利。所以,在大数据背景下,需要全面细致化研究矿山测绘地理信息检测情况,明确矿山测绘地理信息检测需求,并采取有效的矿山测绘地理信息检测策略,进一步提高测绘地理信息检测精准度,推动矿山测绘工作的持续发展。 In recent years, big data’s technology has gradually matured and developed, and it has been widely used in science and technology, finance, education, mining and other industries, especially in the mining industry. As an important part of national resource information, mine surveying and mapping geographic information can provide reliable reference for the exploitation of mineral resources, which is conducive to the high-quality development and upgrading of China’s industrial industry. and provide strategic guarantee for economic security and national defense security. The application of big data technology in the mine surveying and mapping industry has promoted the all-round development of mine surveying and mapping geographic information to a certain extent, which not only effectively ensures the accuracy and quality of geographic information detection, but also significantly improves the overall level of mine surveying and mapping work, and can make comprehensive use of mine surveying and mapping geographic information to provide great convenience for mine surveying and mapping geographic information detection. Therefore, under the background of big data, it is necessary to make a comprehensive and detailed study of mine surveying and mapping geographic information detection, clarify the requirements of mine surveying and mapping geographic information detection, and adopt effective mine surveying and mapping geographic information detection strategy. further improve the accuracy of geographic information detection in surveying and mapping and promote the sustainable development of mine surveying and mapping work.
作者 陈晓希 CHEN Xiao-xi(The Fifth Geological Brigade of Shandong Provincial Bureau of Geology and Mineral Exploration and Development,Taian 271000,China)
出处 《世界有色金属》 2022年第24期202-204,共3页 World Nonferrous Metals
关键词 大数据 矿山测绘 地理信息检测 big data Mine surveying and mapping Geographic information detection
  • 相关文献

参考文献5

二级参考文献7

共引文献17

同被引文献6

引证文献1

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部