Research on unmanned intelligent collaborative mining of coal and co-associated energy minerals

YUAN Liang; ZHANG Tong; LYU Xin; ZHANG Cun; WANG Yuehan; WANG Xinzhong; HUANG Xin; WANG Yating

doi:10.13225/j.cnki.jccs.2025.1101

Abstract：Coal and co-associated energy minerals are strategic resources essential for national energy security and exhibit widespread characteristics of co-occurrence and spatial superposition.Achieving green,safe,efficient,and intelligent col-laborative development is vital for ensuring long-term resource stability and supply security.This study analyzes the ma-jor challenges in engineering geological assurance,mineral rights delineation,geological responses during co-mining,and the development of digital-intelligent mining technologies and equipment.Key technical difficulties are identified,includ-ing sensing multiphase-multifield strata responses,coordinating multi-stage mining processes,characterizing groundwa-ter disturbance and flow redistribution,controlling pollutant migration,and managing disaster prevention and emergency response.The results indicate that the"AI+"paradigm will serve as an important pathway for future resource develop-ment.An unmanned intelligent co-mining model is proposed to address the distinctive reservoir responses under high tem-perature,high hydraulic pressure,high geostress,low permeability,and strong disturbance feedback.By integrating intelli-gent sensing,data fusion,and intelligent decision-making technologies,multimodal paradigm models and multi-scenario disaster prediction and emergency control models are constructed to reveal the mechanisms of disaster initiation and evol-ution under coupled multiphysics conditions.An embodied-robot and edge-computing cluster is further developed to es-tablish a bidirectional data network,and a resilient,self-healing heterogeneous data system combining distributed and centralized structures is formed through multi-source machine learning,enabling precise human-machine collaborative and autonomous decision-making and supporting the development of a"mine heart-mine brain-mine body"digital-intelli-gent paradigm.Focusing on four key scientific problems-multiphysics coupling and disaster mechanisms,integrated pro-cess technologies for collaborative mining,ecological restoration and chain-type emergency response,and digital-intelli-gent network and equipment architecture-six major research directions are outlined,including efficient resource extrac-tion and safety assurance,disturbance mitigation technologies,groundwater regulation and pollutant migration control,mine-water pollution prevention and utilization,unmanned intelligent mining construction,and three-dimensional func-tional development of underground spaces.These efforts provide technical support for pilot demonstration projects and promote the large-scale,high-quality development of collaborative mining of coal and co-associated energy minerals.