关键词: 矿井通风　, 韧性风网　, 韧性测度　, 提升方法　, 灾变响应

Abstract: Oriented toward the practical needs of efficient deep mineral resource exploitation and intelligent mine con struction,and in view of the prominent problems faced by mine ventilation systems under excavation-induced disturbances,con tinuous evolution of network structure,and multi-hazard coupling,including insufficient perception of dynamic information,de layed instability identification,inadequate coordinated regulation,and weak post-disaster recovery mechanisms,this paper re views recent research progress on mine ventilation resilience and drawing on the authors′ long-term research accumulation in mine ventilation network calculation,disaster prevention and control,and intelligent ventilation,proposes the concept of a mine resilient ventilation network.Focusing on the objective of maintaining critical air-supply functions,resisting performance degra dation,and achieving recovery and optimization of mine ventilation systems under disturbance and disaster conditions,a mine resilient ventilation network is defined as a ventilation network with the capacity for disturbance and hazard perception,risk an ticipation,coordinated response,rapid recovery,and continuous optimization.On this basis,its capability attributes are summa rized into six dimensions,namely perception capability,collaboration capability,adaptability capability,defense capability,re covery capability,and learning capability.These six dimensions provide a systematic framework for understanding the essential connotation,operational goals,and functional evolution of resilient mine ventilation under complex and dynamic conditions.Fur thermore,the relevant studies are organized into five key research links,including real-time sensing and parameter reconstruc tion,instability grading and identification,resilience modeling,resilience assessment,and resilience-oriented regulation and en hancement.Around these five links,the paper systematically analyzes the key scientific issues,main research contents,and im plementation method path of mine resilient ventilation networks across different stages,including normal operation,pre-disaster prevention,disaster response,and post-disaster recovery.Particular emphasis is placed on the transition from conventional steady-state ventilation analysis to resilience-oriented dynamic analysis,as well as on the shift from single-link optimization to whole-process collaborative control.Finally,future research directions are discussed from the perspectives of monitoring and perception,state identification,evolutionary modeling,index measurement,and regulation optimization.This review is expected to provide theoretical references for risk identification,state characterization,coordinated regulation,and post-disaster recovery of mine ventilation systems,and to offer methodological support for the future development of intelligent and resilient mine ven tilation theory and technology.