Even Driven Multimodal Augmented Reality based Command and Control Systems for Mining Industry

被引:1
作者
Buddhan, Andhan Rahul [1 ]
Eswaran, Subha P. [2 ]
Buddhan, D. M. Ezhil [3 ]
Sripurushottama, Sridhar [4 ]
机构
[1] Indian Inst Sci Educ & Res, Thiruvananthapuram, Kerala, India
[2] Bharat Elect Ltd, Cent Res Lab, Bengaluru, India
[3] Bharat Sanchar Nigam Ltd, Bengaluru, India
[4] ValueMomentum, Piscataway, NJ USA
来源
10TH INTERNATIONAL CONFERENCE ON AMBIENT SYSTEMS, NETWORKS AND TECHNOLOGIES (ANT 2019) / THE 2ND INTERNATIONAL CONFERENCE ON EMERGING DATA AND INDUSTRY 4.0 (EDI40 2019) / AFFILIATED WORKSHOPS | 2019年 / 151卷
关键词
Multimodal Learning; Augmented Reality (AR); CEP; Command & Control; Mining;
D O I
10.1016/j.procs.2019.04.135
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
The mining industry is confronted with obligations to improve worker safety and provide more effective maintenance of the new-age mining machineries. It is also essential to develop reconnaissance mission to support emergency rescue operations. An approach to ensure the mine workers safety using AR (Augmented Reality) with remote monitoring CCS (Command Control System) is proposed in this paper. This method provides an interactive and augmented real time instantaneous personal safety solution. The benefit of augmented reality is blended with real time mining environmental sensor data using multimodal learning approach to predict the emergency situation instantaneously. Environmental mining sensory information is processed with Complex Event Processing (CEP) engine to derive high level events that trigger the alarm for the emergency situation. The proposed event driven multimodal AR based CCS, outperforms the existing emergency prediction solutions that use sensor fusion or deep learning AR. (C) 2019 The Authors. Published by Elsevier B.V.
引用
收藏
页码:965 / 970
页数:6
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