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基于无人机的煤矿巡检与灾害隐患集成化识别方案研究

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传统的煤矿巡检方式存在着效率低、盲区多等问题,而无人机具有覆盖面广、高度灵活的特点,可大大提升煤矿巡检效率.文章旨在探讨并提出一种创新的煤矿巡检与灾害隐患集成化识别方案.通过对无人机搭载各类传感器进行数据采集和图像智能化识别,该方案实现了对陕西某煤矿区域的全方位监测,包括难以到达的高空和隐蔽区域.通过图像信息分析与处理,该方案可以及时发现潜在的灾害隐患,提高煤矿安全管理水平.实地试验结果表明,该方案在提高煤矿巡检效率、降低工作风险以及及时发现潜在灾害隐患方面取得了显著的成果.基于无人机技术的煤矿巡检与灾害隐患集成化识别方案为煤矿安全管理提供了一种新的思路和手段,具有广阔的应用前景.
Research on an integrated recognition scheme for coal mine inspection and disaster hazard based on unmanned aerial vehicles
Traditional coal mine inspection methods suffer from issues such as low efficiency and blind spots.Unmanned aerial vehicles(UAVs),with their characteristics of high efficiency and flexibility,bring new possibilities to coal mine inspections.This study aims to explore and propose an innovative integrated recognition scheme for coal mine inspection and disaster hazard.By equipping UAVs with various sensors for data collection and intelligent image recognition,this scheme achieves comprehensive monitoring of coal mine areas,including hard-to-reach high-altitude and concealed areas.Through image analysis and processing,potential disaster hazards can be timely identified,thereby enhancing the level of coal mine safety management.Field trial results demonstrate significant achievements in improving coal mine inspection efficiency,reducing work risks,and early detection of potential disaster hazards.The integrated recognition scheme for coal mine inspection and disaster hazard based on UAV technology provides a new approach and means for coal mine safety management,with wide-ranging application prospects.

coal mine inspectionintelligent recognitionintegration

辛建帝

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陕西有色榆林煤业有限公司,陕西 榆林 719000

煤矿巡检 智能化识别 集成化

2024

无线互联科技
江苏省科学技术情报研究所

无线互联科技

影响因子:0.263
ISSN:1672-6944
年,卷(期):2024.21(1)
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