Abstract
The Fourth generation industrial age and 5G + intelligent communication in the "Fourth Paradigm of Science" in the 21st century provide a new opportunity for research on the relationship between mining development and environmental protection. This paper is based on the theory of metallogenic geodynamics background, metallogenic process and quantitative evaluation and chooses the Luanchuan district as a case study, using deep-level artificial intelligence mining and three/four-dimensional (3D/4D) multi-disciplinary, multi-parameter and multi-scale modeling technology platform of geoscience big data (including multi-dimensional and multi-scale geological, geophysical, geochemical, hyperspectral and highresolution remote sensing (multi-temporal) and real-time mining data), carrying out the construction of 3D geological model, metallogenic process model and quantitative exploration model from district to deposit scales and the quantitative prediction and evaluation of the regional Mo polymetallic mineral resources, the aim is to realize the dynamic evaluation of highprecision 3D geological (rock, structure, hydrology, soil, etc.) environment protection and comprehensive development and utilization of mineral resources in digital and wisdom mines, it provides scientific information for the sustainable development of mineral resources and mine environment in the study area. The research results are summarized as follows: (1) The geoscience big data related to mineral resource prediction and evaluation of district include mining data such as 3D geological modeling, geophysics interpretation, geochemistry, and remote sensing modeling, which are combined with GeoCube3.0 software. The optimization of deep targets and comprehensive evaluation of mineral resources in Luanchuan district (500 km2, 2.5 km deep) have been realized, including 6.5 million tons of Mo, 1.5 million tons of W, and 5 million tons of Pb-Zn-Ag. (2) The 3D geological modeling of geology, mineral deposit, and exploration targeting is related to the mine environment. The data of exploration and mining in the pits of Nannihu – Sandaozhuang – Shangfang deposits and the deep channels of Luotuoshan and Xigou deposits show a poor spatial correlation between the NW-trending porphyryskarn deposits and the ore bodies. The NE-trending faults are usually tensional or tensional-torsional structures formed in the post-metallogenic period, which is the migration pathway of hydrothermal fluid of the related Pb-Zn deposit. There is a risk of groundwater pollution in the high-altitude Pb-Zn mining zones, such as the Lengshui and Bailugou deposits controlled by NE-trending faults are developed outside of porphyry-skarn types of Mo (W) deposits in the Luanchuan area. (3) Construction of mineral resources and environmental assessment and decision-making in intelligent digital mines: 3D geological model is established in large mines and associated with ancient mining caves, pit, and deep roadway engineering in the mining areas to realize reasonable orientation and sustainable development of mining industry. The hyperspectral database is used to construct three-dimensional useful and harmful element models to realize the association of exploration, mining, and mineral processing mineralogy for the recovery of harmful elements (As, Sb, Hg, etc.). 0.5 m resolution Worldview2 images are used to identify the distribution of Fe in the wastewater and slag slurry of important tailings reservoirs, so as to protect surface runoff and soil pollution.
Highlights
In the 21st century, the intelligence and intelligent manufacturing of the fourth generation industry age promoted the rapid development of new engineering innovation, 5G + communication, cloud computing, and other real-time intelligent decision-making, provided scientific and technological support for the Fourth Paradigm of Science (Data-Intensive Scientific Discovery)1, and provided a new opportunity for comprehensive research on mining development and environmental protection
Zhao put forward that the exploration and development of mineral resources in the 21st century must achieve the unity of social, economic, and environmental benefits [1], which require the joint evaluation of mineral resources and environment, and the combination of mineral mapping and mineral exploration
Since 2011, 117 key districts in 16 regional metallogenic belts in China were implemented to deep mineral exploration based on the 1:50000 geological mapping
Summary
In the 21st century, the intelligence and intelligent manufacturing of the fourth generation industry age promoted the rapid development of new engineering innovation, 5G + communication, cloud computing, and other real-time intelligent decision-making, provided scientific and technological support for the Fourth Paradigm of Science (Data-Intensive Scientific Discovery), and provided a new opportunity for comprehensive research on mining development and environmental protection. Since 2011, 117 key districts in 16 regional metallogenic belts in China were implemented to deep (less than 1000 m) mineral exploration based on the 1:50000 geological mapping. A series of metallogenic theories and technologies were constructed, for example, Ye et al [2] built theory and method of prospecting prediction in mineral exploration zone, and the ore-forming dynamic background, process, and quantitative evaluation of large and superlarge deposits [3–5]. The 13th five-year national key research and development plan "deep resources exploration and exploitation" has promoted the deep (less than 3000 m) resource prospecting, prediction, and evaluation of key districts in China [6–15]. The alliance proposed 3D/4D modeling and artificial intelligence technology as the basis of mineral exploration and extraction of geoscience information in recent years [16–20]. OneGeology team developed the 3D geoscience modeling using artificial intelligence and big data with Loop
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
