无人机在采矿工业中的应用以及面向地雷恢复监视的集成无人机- ai - mr技术

P. Stothard, Roohollah Shirani Faradonbeh
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引用次数: 1

摘要

摘要:本文讨论了将无人机(UAV)数据、人工智能(AI)和混合现实(MR)集成为一个混合系统来监测矿井现场恢复。综述了无人机系统,讨论了核磁共振和人工智能在采矿中的应用。最常见的无人机是低成本的多旋翼系统,然而,它们的能力可能受到长期自主操作的限制。应用范围很广,但确定了许多试验无人机应用和传感器,可以与MR和AI集成以产生自主系统。提出了自主无人机、人工智能和核磁共振集成系统的简化模型以及一些核心模块。通过协作、模块化开发,无人机数据、人工智能和MR的集成可能成为可能。这样一个系统将提供一个强有力的工具,通过一种可视工具,使所有利益攸关方了解进程和数据,并在最终恢复时达成一致。
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Application of UAVs in the mining industry and towards an integrated UAV-AI-MR technology for mine rehabilitation surveillance
ABSTRACT This paper discusses integrating Unmanned Aerial Vehicle (UAV) data, Artificial Intelligence (AI), and Mixed Reality (MR) as a hybrid system for monitoring mine site rehabilitation. UAV systems are reviewed and the application of MR and AI to mining is discussed. The most common UAVs are low-cost multi-rotor systems however, their capabilities may be limited for long-term autonomous operation. The application scope is broad but identifies many trial UAV applications and sensors that could be integrated with MR and AI to produce an autonomous system. A simplified model for autonomous UAV, AI, and MR integrated systems is suggested along with some core modules. Via collaborative, modular development, the integration of UAV data, AI, and MR may be possible. Such a system will provide a powerful tool for mine site rehabilitation and compliance sign-off via a visual tool that allows all stakeholders to comprehend processes and data and agree when final rehabilitation is achieved.
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来源期刊
CiteScore
2.20
自引率
9.10%
发文量
5
期刊最新文献
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