The application value of Artificial Intelligence in mining surveying and mapping data processing
人工智能在矿山测绘数据处理中的应用价值

摘要

传统的矿山安全监控方法经常面临诸如不准时访问和准确性不足等问题，这限制了预防事故和应急反应的有效性。随着人工智能技术的发展，为矿山测绘数据的工作方式带来了较大的转变。本次研究中为了分析探讨人工智能在矿山测绘数据处理中的应用价值，通过分析人工智能在矿山测绘数据处理中的关键技术路径与应用模式，提出了基于机器学习的数据清洗、特征提取与决策支持框架，为智能化矿山建设提供理论支持和实践建议。笔者认为，采用具有AI算法、激光雷达、图像识别模型等技术手段，可进一步消除测绘数据处理早期阶段存在的障碍，为采矿业的可持续发展奠定坚实基础。

Abstract

Traditional mining safety monitoring methods often face problems such as untimely access and insufficient accuracy, which limits the effectiveness of accident prevention and emergency response. With the development of artificial intelligence technology, there has been a significant transformation in the way mining surveying and mapping data works. In order to analyze and explore the application value of artificial intelligence in mining surveying and mapping data processing, this study proposes a data cleaning, feature extraction, and decision support framework based on machine learning by analyzing the key technical paths and application modes of artificial intelligence in mining surveying and mapping data processing. This provides theoretical support and practical suggestions for the construction of intelligent mines. The author believes that the use of technologies such as AI algorithms, LiDAR, and image recognition models can further eliminate obstacles in the early stages of surveying and mapping data processing, laying a solid foundation for the sustainable development of the mining industry.