Research on Remote Monitoring and Control System Key Techniques Based on Data Point Table

Han, Xiao; Wang, Chao; Feng, Na

doi:10.1109/iih-msp.2008.23

Cited by 2 publications

(3 citation statements)

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“…The graph in Figure 19 represents the information on the different types of sensors used in the analyzed literature: gas sensors lead the count in 15 mentions, temperature sensors continue with 14 mentions, and then humidity sensors continue with 8 mentions. There is a tendency to monitor aspects related to air quality in mining work environments [ 74 ].…”

Section: Resultsmentioning

confidence: 99%

“…The graph in Figure 19 represents the information on the different types of used in the analyzed literature: gas sensors lead the count in 15 mentions, temp The graph in Figure 19 represents the information on the different types of sensors used in the analyzed literature: gas sensors lead the count in 15 mentions, temperature sensors continue with 14 mentions, and then humidity sensors continue with 8 mentions. There is a tendency to monitor aspects related to air quality in mining work environments [74]. The graph in Figure 19 represents the information on the different types of sens used in the analyzed literature: gas sensors lead the count in 15 mentions, temperatu sensors continue with 14 mentions, and then humidity sensors continue with 8 mentio There is a tendency to monitor aspects related to air quality in mining work environme [74].…”

Section: Content-based Data Perspective Analysismentioning

confidence: 99%

“…There is a tendency to monitor aspects related to air quality in mining work environments [74]. The graph in Figure 19 represents the information on the different types of sens used in the analyzed literature: gas sensors lead the count in 15 mentions, temperatu sensors continue with 14 mentions, and then humidity sensors continue with 8 mentio There is a tendency to monitor aspects related to air quality in mining work environme [74]. The type of data transmission implemented in the connectivity of the sensors is shown in Figure 20, where the three main types of data transmission are Zigbee with 15 applications, Bluetooth with 12 applications, and WiFi with 10 applications, mainly the form of wireless connection [75].…”

Section: Content-based Data Perspective Analysismentioning

confidence: 99%

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Low-Cost Sensors Technologies for Monitoring Sustainability and Safety Issues in Mining Activities: Advances, Gaps, and Future Directions in the Digitalization for Smart Mining

Cacciuttolo,

Guzmán,

Catriñir

et al. 2023

Sensors

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Nowadays, monitoring aspects related to sustainability and safety in mining activities worldwide are a priority, to mitigate socio-environmental impacts, promote efficient use of water, reduce carbon footprint, use renewable energies, reduce mine waste, and minimize the risks of accidents and fatalities. In this context, the implementation of sensor technologies is an attractive alternative for the mining industry in the current digitalization context. To have a digital mine, sensors are essential and form the basis of Industry 4.0, and to allow a more accelerated, reliable, and massive digital transformation, low-cost sensor technology solutions may help to achieve these goals. This article focuses on studying the state of the art of implementing low-cost sensor technologies to monitor sustainability and safety aspects in mining activities, through the review of scientific literature. The methodology applied in this article was carried out by means of the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines and generating science mapping. For this, a methodological procedure of three steps was implemented: (i) Bibliometric analysis as a quantitative method, (ii) Systematic review of literature as a qualitative method, and (iii) Mixed review as a method to integrate the findings found in (i) and (ii). Finally, according to the results obtained, the main advances, gaps, and future directions in the implementation of low-cost sensor technologies for use in smart mining are exposed. Digital transformation aspects for data measurement with low-cost sensors by real-time monitoring, use of wireless network systems, artificial intelligence, machine learning, digital twins, and the Internet of Things, among other technologies of the Industry 4.0 era are discussed.

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Section: Resultsmentioning

confidence: 99%

Section: Content-based Data Perspective Analysismentioning

confidence: 99%