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作 者:秦瑞博 朱万成[1,2] 徐晓冬 李荟 陈承桢 宋清蔚 QIN Ruibo;ZHU Wancheng;XU Xiaodong;LI Hui;CHEN Chengzhen;SONG Qingwei(School of Resources and Civil Engineering,Northeastern University,Shenyang 110819,China;Center for Rock Instability and Seismicity Research,Northeastern University,Shenyang 110819,China)
机构地区:[1]东北大学资源与土木工程学院,辽宁沈阳110819 [2]东北大学岩石破裂与失稳研究所,辽宁沈阳110819
出 处:《金属矿山》2023年第3期185-192,共8页Metal Mine
基 金:国家自然科学基金项目(编号:U1906208,51904055,51874069);黑龙江揭榜挂帅项目(编号:2021ZXJ02A04-03)。
摘 要:针对地下矿山爆破后采场中对危险源感知不充分和不及时,导致井下生产效率降低以及人身安全受到威胁等问题,设计了一种基于混合现实技术的爆破后井下采场环境感知试验平台。该平台基于HoloLens混合现实设备,以采场中各类传感器的监测数据为依据,结合采场安全性评价智能算法和矿山设备远程控制技术,通过Unity3D开发引擎搭建混合现实环境,实现对爆破后采场环境感知、矿山信息透明化、远程专家指导和危险场景还原等功能。以东北大学巷道模拟实训基地为背景,通过在实训基地中人为模拟爆破后采场环境,对平台内各部分功能进行了测试。结果表明:该平台有效地实现了对采场环境的感知与控制,为井下作业的安全性提供了技术保障。Aiming at the problems of underground production efficiency reduction and personal safety under threat caused by inadequate and untimely perception of hazard sources in underground stope after blasting.This paper designs a test platform of environment perception of stope after blasting based on mixed reality.The test platform is based on HoloLens mixed reality device,supported by monitoring data from various sensors in the stope,combined with intelligent algorithms for stope safety evaluation and remote control technology for mining equipment,build a mixed reality environment with Unity3D development engine,realize the functions of environmental perception of stope after blasting,mine information transparency,remote expert guidance and dangerous scene restoration.Taking Northeastern University′s tunnel simulation training base as the background,by simulating the environment of stope after blasting artificially in the training base,the functions of each part of the test platform were tested.The test results show that the platform perceives and controls the mining environment effectively,and provides a technical guarantee for the safety of underground operations.
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