煤矸石智能双体充填技术

Search documents
从“处理难题”到“资源循环”!“煤矸石智能双体充填技术”将推动固废“变废为宝”
Zhong Guo Neng Yuan Wang· 2025-06-30 12:13
Core Viewpoint - The third Coal-Based Solid Waste Comprehensive Utilization Technology Exchange Conference was held in Ordos, Inner Mongolia, focusing on the resource utilization of coal gangue and exploring new paths for comprehensive utilization of coal-based solid waste, contributing to smart and green mining [1][3]. Group 1: Conference Overview - The conference was co-hosted by various institutions including Inner Mongolia University of Technology and the Inner Mongolia Coal Society, with over 300 participants from universities, research institutions, and industry professionals across multiple provinces [3]. - Keynote speeches were delivered by prominent figures in the field, emphasizing the importance of coal-based solid waste utilization technologies and solutions for enterprises [3][4]. Group 2: Strategic Partnerships - A strategic cooperation agreement was signed between Hetu Mining Group and Beijing Solid Waste, focusing on the "Intelligent Double-body Filling Project" for coal gangue [4][6]. - This partnership marks a significant breakthrough in the field of comprehensive utilization of coal-based solid waste, aiming to promote the innovative application of intelligent filling technology [6]. Group 3: Technological Innovations - The Intelligent Double-body Filling Project offers an integrated solution for coal mining, significantly reducing various costs associated with waste management and enhancing resource recovery [10]. - The project utilizes advanced technology to provide a revolutionary solution for the treatment of coal gangue, aligning with sustainable development goals [12][14]. Group 4: Industry Trends and Future Directions - The conference highlighted the need for collaboration among various stakeholders to explore new opportunities in the resource utilization of coal-based solid waste, including the potential for industrial chain synergies [12][16]. - Discussions included the application of machine learning in waste treatment and the feasibility of agricultural waste utilization, aiming to transform waste into valuable resources [16].