Survey of Collision Avoidance Systems for Underground Mines: Sensing Protocols
Meilin Qian1, Kai Zhao2, Binghao Li2
1School of Electrical Engineering and Telecommunications, University of New South Wales, Sydney, NSW 2052, Australia.
Sensors (Basel, Switzerland)
|October 14, 2022
Summary
Implementing a Collision Avoidance System (CAS) in mines is crucial for safety. This study surveys positioning and communication technologies to enhance situational awareness and prevent accidents.
Area of Science:
- Mining Engineering
- Safety Systems
- Sensor Technology
Background:
- Unintentional interactions in underground mines necessitate robust safety measures.
- Collision accidents pose significant financial and safety risks to mining operations.
- Existing systems require enhancement for improved situational awareness and accident prevention.
Purpose of the Study:
- To survey and analyze positioning techniques and communication systems for mining Collision Avoidance Systems (CAS).
- To identify optimal technologies for enhancing situational awareness and mitigating collision risks.
- To provide a comparative analysis of relevant technologies for effective CAS implementation.
Main Methods:
- Intensive survey of positioning techniques and ranging algorithms.
- Exploration of low-power wide-area technologies and communication protocols.
- Systematic comparison of pertinent technologies and algorithms for CAS.
Main Results:
- Achieved end-to-end delay minimization to nanoseconds.
- Attained centimeter-level localization accuracy within a 100m range.
- Identified effective communication and positioning strategies for integrated CAS.
Conclusions:
- Effective CAS relies on the synergy of advanced positioning and communication systems.
- The proposed solution offers high accuracy and low latency for underground mining environments.
- Technological advancements are key to fundamentally addressing collision avoidance challenges in mining.
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