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面向2035年的金屬礦深部多場智能開采發展戰略

Technological strategies for intelligent mining subject to multifield couplings in deep metal mines toward 2035

  • 摘要: 深部開采是金屬礦產資源開發的必然趨勢,向地球深部進軍,著力推動采礦行業智能化改造升級,開展深部智能化開采技術研究具有重要的戰略意義。立足國家深地戰略背景,剖析金屬礦深部資源開發對采礦科學技術發展的需求,依托工程技術預見技術方法開展全球技術態勢分析,梳理出本領域關鍵熱點和前沿技術清單,后經專家研判,形成面向2035年的金屬礦深部多場智能開采基礎理論和深部開采環境智能感知、深部開采過程智能作業、深部開采系統智能管控三大類前沿技術。在此基礎上,提出了我國面向2035年的金屬礦深部多場智能開采發展戰略、重點任務、技術路線,包括發展目標與需求、基礎研究方向、關鍵技術裝備等。針對我國金屬礦深部開采技術變革和智能化升級的科技發展路徑,從政策、產業、技術、人才等方面提出了發展和保障建議。

     

    Abstract: Deep mining is an inevitable trend in the exploitation of metal resources owing to their increasing demand. The multifield coupling environment for deep mining, which includes a high in situ stress, high temperature, high hydraulic pressure, and strong disturbances from excavations, pose considerable challenges to mining safety and efficiency. Intelligent or smart mining is a key to revolutionizing the mining industry. Therefore, for promoting the intelligent transformation and upgrading of the mining industry, the study of intelligent mining technologies for deep mines has a considerable strategic significance. Based on the strategic background of mining deep resources, this study investigated future technological strategies for exploiting deep metal resources toward 2035. Global technological trends on deep intelligent mining subject to multifield couplings were analyzed using technological forecasting methods. Hot research topics and advanced technologies related to intelligent deep mining subject to multifield couplings were obtained. Based on experts’ opinions and analyses, key fundamental theories and techniques for intelligent deep mining toward 2035 were proposed. There are three promising mining methods: unconventional deep mining methods without blasting, continuous pastes backfill mining in deep mines, integration of mining, mineral beneficiation and backfill. Advanced technologies can be divided into three types: (1) smart perception of the deep mining environment, (2) intelligent working during deep mining, and (3) intelligent control of mining systems. Type 1 includes intelligent in situ stress measurements, the intelligent identification of rock mass structures, microseismic monitoring and early warning of disasters, intelligent underground space exploration, and intelligent perception of man–machine systems. Type 2 includes intelligent full-section well excavation equipment, intelligent support technology and equipment, intelligent continuous mining technology and equipment, unmanned intelligent mining equipment, and intelligent lifting technology and equipment. Type 3 includes the intelligent control of the filling system, intelligent control of the microclimate in tunnels, flexible data communication on working faces, intelligent scheduling for the entire life cycle of deep mining, intelligent scheduling of the entire mining process, integrated platform for mining management, and big data analysis for deep mining. Technological strategies, key tasks, and a technical roadmap for 2035 were proposed for intelligent deep mining subject to multifield couplings in China, including development targets and demands, fundamental research areas, and key technologies and equipment. Technological development procedures to transform deep mining technologies and improve mining intelligence were presented. Some suggestions were provided in terms of policies, industries, technologies, and talent for intelligent deep mining.

     

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