Proceedings of the Second International Conference on Emerging Trends in Engineering (ICETE 2023)

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Wireless Sensor Networks and Real-Time Slope Monitoring: A Brief Review

Authors
Sathish Kumar Mittapally1, Raj Kumar Marichamy1, *
1Department of Mining Engineering, University College of Engineering, Osmania University, Hyderabad, India
*Corresponding author. Email: rajkumarmarichamy99@gmail.com
Corresponding Author
Raj Kumar Marichamy
Available Online 9 November 2023.
DOI
10.2991/978-94-6463-252-1_131How to use a DOI?
Keywords
Arduino; LoRa; Opencast mines; Slope Monitoring; WSN; Zigbee
Abstract

Slope monitoring is an essential component of Opencast mining operations for workmen’s safety and uninterrupted production. Slope failure incidents in the recent past remind the crucial significance of implementing effective slope monitoring protocols. Continuous increase in demand for mineral production impels the mining industry to deploy steeper and deeper opencast mines that ultimately result in making working conditions unsafe, on the other hand mitigating the associated risks entails increased production costs. Popular slope monitoring techniques such as Slope Stability Radar (SSR), Light Detection and Ranging (LiDAR) and Global positioning system (GPS) are quite expensive while Wireless sensor networks (WSN) equipped with Micro Electro Mechanical System (MEMS) sensors accomplish better results by enabling real-time slope data analysis at low cost. Cloud computing platforms, such as ThingSpeak, provide real-time data analysis, an email alert system compatible with early warning alerts and a user-friendly interface with convenient customization free of cost. This paper reviews the sensors, micro-computers, data communication systems and data analysis methods employed in real-time slope monitoring across multiple research studies.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the Second International Conference on Emerging Trends in Engineering (ICETE 2023)
Series
Advances in Engineering Research
Publication Date
9 November 2023
ISBN
10.2991/978-94-6463-252-1_131
ISSN
2352-5401
DOI
10.2991/978-94-6463-252-1_131How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Sathish Kumar Mittapally
AU  - Raj Kumar Marichamy
PY  - 2023
DA  - 2023/11/09
TI  - Wireless Sensor Networks and Real-Time Slope Monitoring: A Brief Review
BT  - Proceedings of the Second International Conference on Emerging Trends in Engineering (ICETE 2023)
PB  - Atlantis Press
SP  - 1307
EP  - 1317
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-252-1_131
DO  - 10.2991/978-94-6463-252-1_131
ID  - Mittapally2023
ER  -