工矿自动化2025，Vol.51Issue(3)：1-8,8.DOI:10.13272/j.issn.1671-251x.18239
智能采矿数智赋能技术内涵与应用范式
Connotation and application paradigm of intelligent mining data intelligence enabling technology
摘要
Abstract
Data and intelligence are the core engines driving the precision,efficiency,and safety of sustainable intelligent mining development.A system for intelligent mining data intelligence enabling technology based on the"data-algorithm-equipment-ecology"four-dimensional collaborative architecture was proposed,and an intelligent closed-loop framework covering data governance,intelligent decision-making,equipment execution,and human-machine collaboration for the entire mining chain was constructed.The data layer established a comprehensive mine data asset platform through standardized storage architecture and multi-modal data fusion,supporting real-time data flow services and historical data mining.The algorithm layer combined industrial mechanism models and swarm intelligence algorithms to construct a dynamic decision-making system based on multi-objective optimization,achieving collaborative optimization of mining processes and safety-weighted priority control.The equipment layer relied on intelligent new coal machine equipment groups,developing equipment adaptive control and multi-machine collaborative linkage mechanisms.The ecology layer built a"human-machine-intelligence-environment"symbiosis system through digital twins,human-in-the-loop optimization,and expert rule embedding,driving the system's dynamic iteration.Based on the above framework,a bidirectional coordination mechanism of"data flow-intelligence flow"and a layered decoupling logic were proposed,achieving dynamic responses with millisecond-level equipment control,second-level algorithmic decision-making,and minute-level human intervention,establishing a new mining production relationship with bidirectional enabling between AI and humans.Using fully mechanized mining process as a typical scenario,a closed-loop enabling path based on"demand-driven-data-driven-intelligent decision-making-equipment execution"was constructed,establishing an application paradigm of intelligent mining data intelligence enabling for fully mechanized mining technology.A cyclical process of"automated process execution → AI strategy generation → human verification → human-machine collaborative control"was established,supporting dynamic switching between multiple modes,including manual,division of labor,approval,and rejection.The deep collaboration between coal mining automation and AI-assisted decision-making facilitated the transition of the mining industry from the"machine replacing humans"paradigm to the"human intelligence enhancing machines"paradigm.关键词
智能采矿/数智赋能技术/煤矿人工智能/AI决策/人机协同Key words
intelligent mining/data intelligence enabling technology/coal mine artificial intelligence/AI decision/human-machine collaboration分类
矿业与冶金引用本文复制引用
付翔,王开,王然风..智能采矿数智赋能技术内涵与应用范式[J].工矿自动化,2025,51(3):1-8,8.基金项目
国家自然科学基金项目(52274157) （52274157）
山西省基础研究计划联合资助项目(202403011241002) （202403011241002）
"科技兴蒙"行动重点专项项目(2022EEDSKJXM010). （2022EEDSKJXM010）
