Optimization of ventilation using IIoT methodology in Serbian coal mines
| dc.citation.epage | 60 | |
| dc.citation.issue | 45 | |
| dc.citation.rank | M51 | |
| dc.citation.spage | 49 | |
| dc.citation.volume | 1 | |
| dc.contributor.author | Ilić, Aleksandra | |
| dc.contributor.author | Petrović, Dejan | |
| dc.date.accessioned | 2024-12-30T10:45:07Z | |
| dc.date.available | 2024-12-30T10:45:07Z | |
| dc.date.issued | 2024 | |
| dc.description.abstract | The application of information technologies in the optimization of ventilation contributes significantly to the improvement of all aspects of mine operations. Coal mines face numerous challenges on a daily basis in terms of the organization, implementation and supervision of production activities. Some global mining companies have already implemented numerous technical solutions in the field of robotics, artificial intelligence and the Internet of Things (IoT). This article describes the basic principles of the Industrial Internet of Things (IIoT) and the configuration of the automation system for ventilation. It also discusses the opportunities and challenges of technology implementation in the coal mine. The advantages of applying modern software tools for monitoring mine air parameters and monitoring the operating characteristics of the main ventilation systems in real time greatly facilitate the control of working conditions in the mine. On this basis, it is possible to create a package of preventive and active measures in the event of equipment faults, fires or sudden gas outbursts. | |
| dc.identifier.issn | 2560-3337 | |
| dc.identifier.issn | 0354-2904 | |
| dc.identifier.uri | https://ume.rgf.bg.ac.rs/index.php/ume/article/view/205/173 | |
| dc.identifier.uri | https://repozitorijum.tfbor.bg.ac.rs/handle/123456789/5939 | |
| dc.language.iso | en | |
| dc.publisher | University of Belgrade, Faculty of Mining and Geology | |
| dc.rights.license | CC-BY | |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | |
| dc.source | Underground Mining Engineering | |
| dc.subject | IIoT | |
| dc.subject | coal mine ventilation | |
| dc.subject | automation | |
| dc.title | Optimization of ventilation using IIoT methodology in Serbian coal mines | |
| dc.type | article | |
| dc.type.version | publishedVersion |
Files
Original bundle
1 - 1 of 1
No Thumbnail Available
- Name:
- Ilic&Petrovic - UME.pdf
- Size:
- 764.27 KB
- Format:
- Adobe Portable Document Format