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http://hdl.handle.net/2080/2453
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DC Field | Value | Language |
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dc.contributor.author | Jayanthu, S | - |
dc.contributor.author | Karthik, G | - |
dc.date.accessioned | 2016-02-23T04:57:12Z | - |
dc.date.available | 2016-02-23T04:57:12Z | - |
dc.date.issued | 2016-02 | - |
dc.identifier.citation | National Seminar on "Recent Practices and Innovations in Mining Industry" NIT Raipur, India, 19-20 Feb 2016 | en_US |
dc.identifier.uri | http://hdl.handle.net/2080/2453 | - |
dc.description | Copyright belongs to proceeding publisher | en_US |
dc.description.abstract | Slope stability is one of the leading problems faced by opencast mines. The conventional geotechnical sensors are generally monitored by technicians in the field and the available wireless monitoring systems like SSR, LiDAR are more expansive. The purpose of this paper is to introduce the different cost effectivereal-time slope monitoring systems.By deploying the wireless Data Transmission System using advanced antennas at respective slope instruments in underground or opencast mines, we can collect data without any physical connections. Wireless sensor networks (WSNs) are well suited to monitor the movement and it consist of sensor nodes which measure physical quantities and transmit the preprocessed measurement results to a base station wirelessly. Developments in information and communications technology (ICT) support the collection, connection and analysis of data through sensing and monitoring of slopes in mines. This paper gives the detailed review on available low cost wireless slope monitoring systems for mines. | en_US |
dc.subject | Slope Stability | en_US |
dc.subject | Opencast mine | en_US |
dc.subject | Wireless sensor networks | en_US |
dc.subject | Time Domain Reflectometry | en_US |
dc.title | Recent Innovations in Wireless Systems for Slope Stability Monitoring In Opencast Mines – An Appraisal for Indeginisation | en_US |
dc.type | Article | en_US |
Appears in Collections: | Conference Papers |
Files in This Item:
File | Description | Size | Format | |
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2016_RPIMI_Singham_RecentInnovation.pdf | 1.18 MB | Adobe PDF | View/Open |
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