Connotation and application paradigm of intelligent mining data intelligence enabling technology

FU Xiang; WANG Kai; WANG Ranfeng

doi:10.13272/j.issn.1671-251x.18239

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.