A Comprehensive Review on Internet of Things (IoT) and its Implications in the Mining Industry
Всесторонний обзор Интернета вещей (IoT) и его значения для горнодобывающей промышленности
2020-03-01
SCID: 54.1/r9fn5gad
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Global Data ManagementInternet of Things (IoT)Mine automationMining industryWireless Sensor Networks
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Abstract (AI)
The integration of computer-based technologies interacting with industrial machines or home appliances through an interconnected network, for teleoperation, workflow control, switching to autonomous mode, or collecting data automatically using a variety of sensors, is known as Internet of Things (IoT). When applied inside an industrial context, it is possible to immediately benefit from the analytics obtained, contributing to process optimization, machine health, the safety of workers and asset management. IoT can assist real-time platforms in remotely monitoring and operating a complex production system with minimal intervention of humans. Hence it can be beneficial for hazardous industries, such as mining, by increasing the safety of personnel and equipment while reducing operation costs. An ideal smart automated mine could potentially be achievable by gradually taking advantage of IoT. Currently, different sensors are used in mine-related activities, such as geophones in exploration and blast control, piezometers in dewatering and toxic gas detectors in working frontlines. However, a fully integrated automated system is challenging in practice due to infrastructural limitations in communication, data management and storage. Moreover, the tendency of mining companies to continue with traditional methods instead of relying on untested novel techniques decelerates this progress. In this study, the adaptability of the mining industry to IoT systems and its current development is reviewed. Significant challenges of this progress are investigated and recommendations to develop a comprehensive model suited for different mining sections such as exploration, operation and safety considering flexible technologies such as Wireless Sensor Networks and the introduction of Global Data Management.
Key Findings
1
Fully integrated automated mining remains difficult because of communication infrastructure, data management, and storage limitations, as well as industry reluctance to adopt untested technologies.
2
IoT integration in mining can optimize processes, monitor machine health, improve worker and asset safety, and reduce operating costs.
3
Mining already uses specialized sensors, including geophones, piezometers, and toxic-gas detectors, for exploration, dewatering, blast control, and frontline safety.
4
Real-time IoT platforms enable remote monitoring and operation of complex mining production systems with minimal human intervention.
5
The review recommends comprehensive, flexible IoT models for exploration, operations, and safety, incorporating Wireless Sensor Networks and Global Data Management.
Research Object
Internet of Things (IoT) systems in the mining industry
Research Subject
The mining industry's adaptability, current development, implementation challenges, and deployment requirements for IoT systems across exploration, operations, and safety
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2020-03-01
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