Advances in International Computer Science

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.

Artificial Intelligence; Mining surveying and mapping; 3D modeling; Remote sensing image