Opportunities for sensing systems in mining
File(s)Sensing_Systems_in_Mining_2016.pdf (1.04 MB)
Accepted version
Author(s)
Kiziroglou, M
boyle, D
Yeatman, E
Cilliers, J
Type
Journal Article
Abstract
Pervasive sensing - the capability to deploy large numbers of sensors, to link them to communication networks, and to analyze their collective data - is transforming many industries. In mining, networked sensors are already used for remote operation, automation including driverless vehicles, health and safety, and exploration. In this paper, the state-of-the-art sensing and monitoring technologies are assessed as solutions against the main challenges and opportunities in the mining industry. Localization, mapping, remote operation, maintenance and health and safety are identified as the main beneficiaries, from rapidly developing technologies such as 3D visualization, augmented reality, energy autonomous sensor nodes, distributed sensing, smart network protocols and big data analytics. It is shown that the identification and management of ore grade in particular, which transcends each stage of the mining process, may critically benefit from certain arising sensing technologies, where major efficiency improvements are possible in exploration, extraction, haulage and processing activities.
Date Issued
2016-12-15
Date Acceptance
2016-11-25
Citation
IEEE Transactions on Industrial Informatics, 2016, 13 (1), pp.278-286
ISSN
1551-3203
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Start Page
278
End Page
286
Journal / Book Title
IEEE Transactions on Industrial Informatics
Volume
13
Issue
1
Copyright Statement
© 2016 IEEE. Personal use is permitted, but republication/redistribution requires IEEE permission.
See http://www.ieee.org/publications standards/publications/rights/index.html for more information.
See http://www.ieee.org/publications standards/publications/rights/index.html for more information.
Sponsor
Rio Tinto Technological Resources UK Limited (Co. # 8270236)
Grant Number
DA@RT Sensor Review
Subjects
Science & Technology
Technology
Automation & Control Systems
Computer Science, Interdisciplinary Applications
Engineering, Industrial
Computer Science
Engineering
Mining
sensors
MOSSBAUER SPECTROMETER
ORE
Electrical & Electronic Engineering
08 Information And Computing Sciences
09 Engineering
10 Technology
Publication Status
Published