Applications of Wireless Indoor Positioning Systems and Technologies in Underground Mining: a Review

Naghadehi, Masoud Zare; Battulwar, Rushikesh; Seamons, Joseph; Sattarvand, Javad

doi:10.1007/s42461-021-00476-x

Cited by 15 publications

(6 citation statements)

References 72 publications

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“…Rangebased techniques (e.g., received signal strength (RSS), time of arrival (ToA), time difference of arrival (TDoA) and angle of arrival (AoA)) are commonly used for positioning in underground mines because of their high accuracy. Rangebased methods directly determine the distance between anchors and tags based on signal geometrical parameters including signal strength, distance and angle [103], [104].…”

Section: Personnel and Equipment Positioningmentioning

confidence: 99%

Recent Advancements in IoT Implementation for Environmental, Safety, and Production Monitoring in Underground Mines

Zhang

Karimi

et al. 2023

IEEE Internet Things J.

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Internet of Things (IoT) technology has been widely used for real-time monitoring of the environment, safety and production in underground mines. This paper presents the basic structure of a Mine Internet of Things (MIoT) system based on a widely used three-layer IoT architecture, classifies types of sensors commonly used in underground mines by specific application, and introduces available wired and wireless communication technologies and network topologies that can be applied in underground mines. This paper provides a comprehensive review of recent developments in IoT applications in underground mines to monitor various environmental parameters, including mine gas and dust concentrations, temperature, humidity and airflow, groundwater, ground support and seismic activity. MIoT applications for fire and hazard detection, personnel and equipment positioning, and production safety management have also been investigated. This paper highlights key challenges for the broad application of IoT technology in underground mines such as operation disruption, additional investment, limited battery life, poor quality of underground communication, and difficulty in data management. Further research on novel advanced techniques, such as selfpowered sensors, MIoT standardization and underground wireless communication technologies, is essential to improve the applicability and effectiveness of IoT applications in underground mines.

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Section: Personnel and Equipment Positioningmentioning

confidence: 99%

Recent Advancements in IoT Implementation for Environmental, Safety, and Production Monitoring in Underground Mines

Zhang

Karimi

et al. 2023

IEEE Internet Things J.

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“…In [20], Underground mines cannot use the Global Navigation Satellite System (GNSS); additional technologies are required for localisation. Currently available sensors and radios in smartphones and tablets can give useful data for indoor localization using RFID tags, Bluetooth Beacons and other devices.…”

Section: Related Workmentioning

confidence: 99%

Mobile Application based Indoor Positioning and Navigational System using Dijkstra’s Algorithm

Nayagam¹,

Selvathi²,

Geeta³

et al. 2023

J. Phys.: Conf. Ser.

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This paper offers a method for developing an efficient indoor navigation system with the consideration of the shortest path between source and destination. The challenge for the indoor navigation system is to provide personal navigation information and the optimal route. Applications of indoor navigation systems need consideration of the Shortest Path problem. The shortest pathways can be used to find solutions to the current problems using Dijkstra’s algorithm. Based on the issue with the indoor navigation system, the shortest way and the best path are calculated. This is crucial to navigation systems since it can aid in making wise decisions and time-saving choices. The primary goal is to obtain the implementation at an affordable price. These applications and services are made available indoors, where the GPS does not function. The goal of indoor navigation is to direct users inside buildings. Dijkstra’s algorithm for locating objects and for moving along the shortest path in an indoor setting are examined in this work. Experimental results of indoor navigation systems were carried out on my organization’s indoor environment and verified the applicability of the presented Indoor Navigation System. The techniques provided include map digitization, locating a user, and choosing the shortest route. This is accomplished through a mobile application created for the Android operating system, and indoor navigation is carried out by using Dijkstra’s algorithm. The proposed method is implemented in our college academic block, and the experimental results show that our navigation method is feasible and effective. To verify the reliability of the algorithm, the proposed application fulfils the criteria of an indoor navigation system to produce the optimal route between two points when applied to a map of our college’s indoor terrain.

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“…Different from the prior researches, based on the visual sensing model, Huang et al considered the deployment problem of optimal cameras inside a complex indoor setting and gave a 2-approximation algorithm satisfying both visibility coverage and wireless connectivity in [30]. Enhancing localization precision [31][32][33], tackles acoustic sensor placement optimization in irregular and constrained 3D surfaces, for inverted ultra-short baseline approaches. In the above-related works, the maximal breach has rarely considered as the QoS index for coverage problem in CSNs and coverage issue for a particular monitoring region has not been practically solved yet.…”

Section: Related Workmentioning

confidence: 99%

A novel model for representing a plane target and finding the worst-case coverage in wireless sensor network based on Clifford algebra

Mahfouz,

Ismail,

El Sobky

et al. 2023

J Wireless Com Network

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Wireless ad hoc sensor networks have recently emerged as a premier research topic. They have great long-term economic potential and ability to transform our lives and pose many new system building challenges. Sensor networks also pose a number of new conceptual and optimization problems. Most of researches in wireless sensor networks are focused in obtaining better target coverage in order to reduce energy and cost of the network. The problem of planar target analysis is one of the crucial problems that should be considered while studying coverage problem of sensor networks. By combining computational geometry and graph theoretic techniques, specifically the Voronoi diagram and graph search algorithms, this paper introduces a novel sensor network coverage model that deals with plane target problem based on Clifford algebra which is a powerful tool that is coordinate free. Also, the calculations of the node coverage rate for the plane target in the sensor network using Clifford algebra are presented. Then, the maximum clearance path (worst-case coverage) of the sensor network for a plane target is proposed. The optimality and reliability of the proposed algorithm have been proved using simulation. Also, a comparison between the breach weight of the point target and the plane target is provided.

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Applications of Wireless Indoor Positioning Systems and Technologies in Underground Mining: a Review

Cited by 15 publications

References 72 publications

Recent Advancements in IoT Implementation for Environmental, Safety, and Production Monitoring in Underground Mines

Recent Advancements in IoT Implementation for Environmental, Safety, and Production Monitoring in Underground Mines

Mobile Application based Indoor Positioning and Navigational System using Dijkstra’s Algorithm

A novel model for representing a plane target and finding the worst-case coverage in wireless sensor network based on Clifford algebra

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