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FENG H T, FANG X Q, QIAO F K, et al. Key technology system for fiber optic intelligent sensing in coal mining[J]. Journal of Henan Polytechnic University(Natural Science) , 2025, 44(3): 34-43.

煤矿开采光纤智能感知关键技术体系

冯豪天, 方新秋, 乔富康, 陈宁宁, 宋扬, 贺德幸, 梁敏富, 吴刚, 吴洋

中国矿业大学 矿业工程学院，江苏 徐州 221116

摘要:煤矿智能化是实现煤炭工业高质量发展的必由之路。 目的 针对目前煤矿智能化建设中井下巷道与装备姿态感知不全面、精度待提升、多源数据融合弱等问题，  方法 根据煤矿井下监测对象特征，采用理论分析与试验相结合研究光纤传感原理、光纤封装与传感器开发，并基于光纤传感器分别构建巷道状态与工作面装备姿态的感知技术体系，且在煤矿井下进行现场应用。  结果 结果表明，提出的光纤光栅感知信息传递力学模型与光纤的3种封装方法，适用于煤矿井下环境；基于光纤传感器搭建的井下巷道状态与工作面装备姿态感知技术体系在煤矿井下成功应用，实现了对井下巷道状态与工作面装备姿态的实时监测。光纤传感技术可用于煤矿井下巷道状态与工作面装备姿态监测，精度与稳定性较好；  结论 融合监测的布点式光纤传感器与三维激光扫描技术提出巷道空间立体的智能感知技术体系和融合光纤传感器与惯性导航仪器提出的三机装备姿态智能感知技术体系，为未来煤矿智能感知的发展提供了技术思路，为实现煤矿高效智能安全绿色的常态化运行打下了坚实的基础。

关键词:智能开采;光纤智能感知;空间立体感知;多源融合;巷道监测;智能工作面

doi:10.16186/j.cnki.1673-9787.2024110012

基金项目:国家自然科学基金资助项目（52474183， 51874276）；中央高校建设世界一流大学（学科）和特色发展引导专项项目（2022ZZCX01K3）；2024年江苏省研究生科研创新计划项目（KYCX24_2867， KYCX24_2869）；中国矿业大学研究生创新计划项日（2024WLKXJ034， 2024WLKXJ036）

收稿日期:2024/11/07

修回日期:2025/02/15

出版日期:2025-04-18

Key technology system for fiber optic intelligent sensing in coal mining

FENG Haotian, FANG Xinqiu, QIAO Fukang, CHEN Ningning, SONG Yang, HE Dexing, LIANG Minfu, WU Gang, WU Yang

School of Mines， China University of Mining and Technology， Xuzhou 221116， Jiangsu， China

Abstract: Intelligentization of coal mines is the essential way to achieve high-quality development of the coal industry. Objectives In response to the current problems of incomplete posture perception of underground roadway and equipment， the need for improvement in accuracy， and weak fusion of multi-source data in the intelligent construction of coal mines，  Methods this study adopts a combined approach of theoretical analysis and experimental testing to study fiber optic sensing principles， fiber optic packaging techniques， and sensor development based on the characteristics of underground monitoring targets in coal mines. Subsequently， optical fiber sensorsare used to construct a perception technology system for roadway status and working face equipment posture and applied on site in coal mines.  Results The results showed that the proposed FBG （Fiber Bragg Grating） sensing information transmission mechanical model and three fiber encapsulation methods were applicable for underground environments of coal mine. The fiber optic sensor-based technical system for underground roadway condition and working face equipment posture monitoring has been successfully implemented in coal mines， achieving real-time monitoring of that. Fiber optic sensing technology demonstrated effective application in monitoring both roadway conditions and working face equipment posture in underground coal mines， exhibiting superior precision and operational stability.  Conclusions Intelligent perception technology system for three-dimensional roadway space based on the integrated monitoring of distributed fiber optic sensors and 3D laser scanning technology and three machine equipment attitude intelligent perception technology system based on the fiber optic sensors and inertial navigation instruments provided echnical ideas for the future development of intelligent perception in coal mines and laid a solid foundation for achieving efficient， intelligent， safe， and green normal operation of coal mines.

Key words: intelligent mining; fiber optic intelligent sensing; spatial stereoscopic perception; multi-source fusion;  underground roadway monitoring;intelligent working face