“三招”破题矿山绿色转型

Core Viewpoint - The mining industry in China faces challenges in high-quality development due to fluctuating market prices and operational difficulties, necessitating a focus on risk management, resource recycling, and green transformation [1]. Group 1: Building a Mining Risk Early Warning System - Strengthening the resilience of the mining industry through technology integration (AI, green technology) and data-driven approaches to shift from passive risk response to proactive risk prediction [2]. - Vertical extension of the industrial chain to hedge against price volatility by moving from a traditional model of raw material extraction to high-value manufacturing, as exemplified by the Inner Mongolia Baotou Rare Earth Mine [2]. - Horizontal expansion of industrial collaboration to create a diversified income structure, reducing reliance on primary mineral resources, demonstrated by the Gansu Jinchang's integration of mining and new energy [2]. Group 2: Technological Innovation to Promote Resource Recycling - Utilizing new mining technologies to enhance the comprehensive utilization of associated resources, which is crucial for high-quality development [4]. - Resource recovery from tailings through advanced technologies like spectral imaging and AI data analysis, forming a closed-loop industry that improves circular economy benefits [5]. - Remanufacturing old mining equipment to extend service life and provide solutions to mining development challenges through a circular economy approach [5]. Group 3: Driving Green Transformation in Mining - Establishing a resource development compensation mechanism to alleviate funding pressures for transformation, integrating policy innovation and technological empowerment [6]. - Ecological restoration and landscape reconstruction of tailings ponds to convert ecological value into economic value, addressing environmental challenges [6]. - Reutilizing underground spaces in abandoned mining areas by integrating geological engineering and ecological restoration to create sustainable utilization models [6].