Critical review on slope monitoring systems with a vision of unifying WSN and IoT

Yadav, Devendra Kumar; Jayanthu, Singam; Das, Santos Kumar; Chinara, Suchismita; Mishra, Pragyan

doi:10.1049/iet-wss.2018.5197

Cited by 16 publications

(9 citation statements)

References 97 publications

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“…It is fundamental in assessing the safety of the functioning of natural-technical systems. Today, there are several requirements, conducted a number of basic researches [7][8][9][10][11][12] (G. Taylor, R. Pastorok, G. Suter, J. Glasson) for various industries. Also, the selected formalized structure in the "Tree form" makes it easy to switch from a fundamental to a mathematical model, if necessary, apply various assessment methods and completely automate the calculation process.…”

Section: Resultsmentioning

confidence: 99%

Slope Monitoring Systems Design for Mining Enterprises

et al. 2020

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The fast development of technologies for the collection, processing and interpretation of information, as well as significant complication of mining natural-technical systems, leads to the emergence of a need to revise the principles of monitoring mining facilities. The operation of modern sloping structures in mining enterprises is associated with high industrial and environmental risks, since the possibility of emergencies remains, and the scope of the accident consequences can be continental. The current conditions of mining require the development of new principles to assess and forecast the status of dumps, open pit slopes, tailings dams, and hydraulic dumps. The developed typification of mining and geological phenomena and factors that affect the stability of sloping structures allows the design of monitoring systems of their state with consideration to each object’s specifics. Besides, this approach is formalized and allows its implementation in conditions of digital technologies progress. The development of detailed models of slope structures, which should become their digital twins, at last, enables to evaluate the current state of the observed object at all stages of its life cycle, based on received surveying, engineering-geological and hydrogeological information, and predict the slope structure behavior in the short term and medium term. The main task to be solved is the creation of principles for the organization of monitoring at mining enterprises that will enhance environmental and industrial safety in conditions of significant complication of mining and geological conditions of operated mineral deposits.

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Section: Resultsmentioning

confidence: 99%

Slope Monitoring Systems Design for Mining Enterprises

et al. 2020

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“…Three main areas can be monitored in opencast mines. The slope movement is monitored using a timedomain reflectometer (TDR) [162,163]. TDR acts as a sensor to sense the movements and shifts occurring in the slope.…”

Section: Description Of the Proposed Systemmentioning

confidence: 99%

Application of IoT‐Fog based real‐time monitoring system for open‐cast mines—A survey

Yadav

Mishra²,

Jayanthu

et al. 2021

IET Wireless Sensor Systems

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Fog computing (FC) archetypes is in focus recently for its potential to utilise resources optimally by the Internet of Things (IoT) network bearing ample end-devices. This enhances the quality of service (QoS) to the proximity of end-users as latency-free processing is obtained in cloud-IoT-based environs. Mining industry will encounter a level-up due to these technological advancements like fog-IoT-based systems. Monitoring mining activities such as blasting, slope monitoring, and miner tracking are time-sensitive. Hence, instant response is demand of extreme mine environment so that life and property are not compromised. New opportunities emerge in mining since the FC approach addresses these demands depending on the demand of the situation/user. The parameters of integrating the state-of-art of fog, IoT, and cloud architectures are provided, and a Fog-IoT mines monitoring (FIoTMM) system for real-time monitoring of open-cast mines is proposed. This work also envisions the applications and future trends of FC concerning IoT and cloud. It emphasises how key features of fog help the system in achieving lower network influx, reduced latency, resource utilisation, and immediate data computation and storage because these services take place closer to point of data generation. This data can be immediately visualised/accessed and used to generate early warning in the mines. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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“…Digital twins can utilize and manage the Internet of Things (IoT) devices and IoT systems of systems [5]. Wireless Sensor Networks (WSN) and attached IoT sensor components can be energy and cost-effective monitoring approaches [6]. WSNs are also frequently constrained to limited computing and power resources and thus security in WSNs can be challenged [7].…”

Section: Background and Related Workmentioning

confidence: 99%

Multi-Model Security and Social Media Analytics of the Digital Twin

Scheibmeir¹,

Malaiya²

2020

Adv. sci. technol. eng. syst. j.

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Digital twins act through application programming interfaces to their physical counterparts to monitor, model, and control them. Beyond these traditional functions of digital twins, they must also act to secure their physical counterparts. A multi-model scheme is presented to help digital twins towards the task of securing the physical system. Additionally, this work includes an analysis of more than four hundred thousand tweets each relating to digital twin technology and cybersecurity which were collected during June and July in 2020. Of the first corpus of tweets collected by searching for #digitaltwin during the research period, only a small population of 10% reference security concepts. In the second and larger corpus of collected tweets, the top mentioned industries were health, education, and public. A naïve Bayes model reached a 70.3% accuracy at differentiating tweets that were either related to cybersecurity or the internet of things. The study also indicates that cybersecurity tweets are consistently more negative in many areas of sentiment when compared to tweets about the internet of things. The sentiment findings of cybersecurity tweets will reinforce the need to address culture in cybersecurity posture while the security multi-model schema contributes to the state of the art.

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Critical review on slope monitoring systems with a vision of unifying WSN and IoT

Cited by 16 publications

References 97 publications

Slope Monitoring Systems Design for Mining Enterprises

Slope Monitoring Systems Design for Mining Enterprises

Application of IoT‐Fog based real‐time monitoring system for open‐cast mines—A survey

Multi-Model Security and Social Media Analytics of the Digital Twin

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