Recently, the 2023 First National Artificial Intelligence Application Innovation Challenge Finals and the 2023 National Artificial Intelligence Application Innovation Summit were held in Songshan Lake, Dongguan city. After intense competition and fierce rivalry, the project “5G Smart Mining Unmanned Transportation System”, completed in collaboration by Professor Guo Yinan and Associate Dean Yang Jianjian from the School of Mechanical and Electrical Engineering at China University of Mining and Technology (Beijing), and Zhongke Huituo (Beijing) Technology Co., Ltd., won the Special Award at the national finals.

rtificial Intelligence and the Ministry of Science and Technology's New Generation Artificial Intelligence Development Research Center, and organized by the Office of the National Artificial Intelligence Application Innovation Challenge. Adopting the theme “Scenario-driven, Strengthen the Nation through Data Intelligence”, this competition summarizes the development achievements of China’s artificial intelligence field in the application scenario track, and highlights the significant initiative to commend leading technology enterprises, being a core event brand created by the Chinese Association for Artificial Intelligence. Since its launch in February 2023, the competition has attracted 2432 teams from key universities, research institutions, and technology companies nationwide for participation and competition. 120 projects were selected through various specialized preliminary competitions and entered into the national finals, with 8 projects ultimately winning the Special Award at the finals. Our university's project, the “5G Smart Mining Unmanned Transportation System” stood out among the numerous participating teams, which demonstrates our research strength in the fields of artificial intelligence and unmanned mining. It also signifies industry recognition of the school's efforts in using technology to empower the construction of smart mines.

Over the years, our university has been dedicated to the construction of smart mines. Our professors have conducted extensive researches in numerous large-scale open-pit coal mines across the country to address prominent problems faced by the mining industry and significantly restrict the future development of mines, such as significant safety hazards, harsh working environments, severe aging of the workforce, talent shortages, rising labor costs, low equipment operation rates, and high maintenance costs, and have achieve fruitful results. They have also made big progresses in the research of scientific coal mining theory and technology systems, geological guarantee theories and technologies of precise mining, as well as theory and control technologies of intelligent mining. Key technical challenges such as efficient cutting, reliable operation, and intelligent measurement and control of deep coal-rock unmanned mining equipment have been tackled, and breakthroughs in world-class innovative technologies, including unmanned fully-mechanized mining intelligent operation systems and parallel intelligent control of rapid excavation have been achieved.