Recent research published in ‘Meitan xuebao’, or the Journal of Coal Science and Engineering, sheds light on a critical aspect of coal mining safety: the control of gas expansion energy during coal and gas outbursts. This study, led by Jingyu Jiang f
Research Unveils Key Insights on Gas Expansion Energy in Coal Mining Read More »
In the demanding environment of coal mining, where visibility is often compromised by dust, moisture, and inadequate lighting, the need for clear and reliable imagery is paramount. A groundbreaking study led by Jian Cheng from the China Coal Research
Revolutionary Imaging Technique Enhances Safety Monitoring in Coal Mines Read More »
In a significant advancement for the mining sector, researchers have unveiled a novel method for enhancing image matching in underground coal mines, addressing the challenges posed by harsh environmental conditions. The study, led by Heping Li from t
New Method Enhances Image Matching in Underground Coal Mines for Safety Read More »
In a landscape where energy security is paramount, the coal industry is on the brink of a digital revolution. Recent research led by Haijun Wang from the Research Institute of Mine Artificial Intelligence at the Chinese Institute of Coal Science high
Coal Industry Embraces Digital Revolution with Large Model Technology Read More »
Recent research conducted by SUN Jiping from the School of Artificial Intelligence at the China University of Mining and Technology-Beijing has shed light on the intricacies of wireless transmission in mining environments, a crucial element for the a
New Research Optimizes Wireless Communication for Safer Mining Operations Read More »
In a significant advancement for the mining industry, researchers have developed a predictive model for blast-induced flyrock using cutting-edge artificial intelligence techniques. This research, led by Jalil Hanifehnia from the Islamic Azad Universi
AI-Powered Model Revolutionizes Flyrock Prediction in Mining Operations Read More »
In a significant advancement for coal mine safety, researchers have unveiled a cutting-edge intelligent detection algorithm designed to identify illegal behaviors of miners using overhead passenger devices. This development, spearheaded by Jifeng Lu
New Intelligent Detection Algorithm Enhances Safety in Coal Mining Operations Read More »
In a significant advancement for the field of X-ray fluorescence spectroscopy, researchers have introduced an optimized method for background subtraction that promises to enhance the accuracy of mineral metal sorting in coal analysis. This innovative
Revolutionary X-Ray Method Boosts Accuracy in Coal Mineral Sorting Read More »
Recent advancements in carbon dioxide (CO2) flooding and sequestration technology are paving the way for significant changes in the oil industry, particularly in China. A comprehensive review published in ‘矿业科学学报’ (Journal of Mining Science) highligh
CO2 Flooding Technology Set to Revolutionize China’s Oil Industry Dynamics Read More »
As the energy landscape evolves with the increasing integration of renewable sources, the challenges faced by traditional coal-fired power plants are becoming more pronounced. A recent study led by Yongqing Zhou from the School of Mechanical Engineer
Tianjin University Develops AI Model for Cleaner Coal Plant Emissions Read More »
