China University of Geosciences (Beijing), Beijing 100191, China.
Comput Intell Neurosci. 2022 Jul 4;2022:9900219. doi: 10.1155/2022/9900219. eCollection 2022.
China is a large rare earth country that has pushed for related rare earth research, development, and application in the global development and progress of rare earths. The rare earth resource reserve strategy must be implemented by China due to the situation of rare earth resources at home and abroad, national security, and the need to strengthen the right to speak in the international market. This article builds the rare earth mineral resources reserve system and model from the perspective of regional development and uses the improved SURF algorithm to solve the problems of inaccurate mine location, mine location deviation, dislocation, overlap, and other issues, resulting in more accurate mineral resources reserve management data. The results show that the maximum relative error between the parallel profile method and the traditional method is 2.6%, which meets the requirement for mineral reserve calculation accuracy and can be used to calculate reserves. China's peak ionic rare earth output will be 46,797.06 tonnes in 2024, and then, it will decline at a 4% annual rate thereafter. This demonstrates how a graded reserve and orderly promotion can improve the workflow and efficiency of the rare earth mineral resources reserve.
中国是一个稀土大国，在全球稀土发展与进步中推动了相关稀土的研究、开发和应用。中国必须实施稀土资源储备战略，这是基于国内外稀土资源形势、国家安全以及加强国际市场话语权的需要。本文从区域发展的角度构建了稀土矿产资源储备体系和模型，并采用改进的 SURF 算法解决了矿山位置不准确、位置偏差、错位、重叠等问题，从而获得更准确的矿产资源储备管理数据。结果表明，平行剖面法与传统方法的最大相对误差为 2.6%，满足矿产储量计算精度的要求，可用于储量计算。中国离子型稀土矿产量峰值将在 2024 年达到 46797.06 吨，此后将以每年 4%的速度下降。这表明分级储备和有序推进可以提高稀土矿产资源储备的工作流程和效率。
