Name
Title | ||
|---|---|---|
Validation of the Vale Path Loss Model for Open-Pit Mines in Different Stages of Mine Exploration |
Abstract | ||
|---|---|---|
As in other vertical markets, wireless communications are expected to play a fundamental role in the digitalization of the mining industry. Akin to most industrial applications, careful and scenario specific understanding of the radio propagation conditions is key to plan and deploy a reliable wireless network. However, surface mining presents an additional challenge when compared to other industrial scenarios: inherent large-scale topographic variability. Therefore, it is necessary to validate if the radio propagation models remain accurate over large topographic change. In this work, we summarize and compare the results collected in two distinct measurement campaigns, with the predictions of a dedicated path loss model (Vale Model) previously derived from measurements in surface mines. The second measurement campaign is performed by means of an automated site survey, that takes advantage of operational wireless systems and mining equipment to collect data samples. The results show that even with different transmit frequencies, topographic variation, test equipment, and measurement methods (dedicated versus automated site surveys), the Vale model provides a good fit for path loss prediction in open-pit mines, with RMSE values in the order of 7 dB. Besides, this is the first time a radio propagation model has been validated over large topographic changes in a surface mining scenario. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/VTCFall.2019.8891581 | 2019 IEEE 90th Vehicular Technology Conference (VTC2019-Fall) |
Keywords | Field | DocType |
mining equipment,topographic variation,measurement methods,path loss prediction,open-pit mines,radio propagation model,topographic change,surface mining scenario,Vale path loss model,mine exploration,vertical markets,wireless communications,mining industry,industrial applications,radio propagation conditions,reliable wireless network,industrial scenarios,large-scale topographic variability,distinct measurement campaigns,dedicated path loss model,surface mines,measurement campaign,automated site survey,operational wireless systems,noise figure 7.0 dB | Data mining,Wireless network,Wireless site survey,Radio propagation model,Topographic map,Computer science,Electronic engineering,Open-pit mining,Path loss,Surface mining,Radio propagation | Conference |
ISSN | ISBN | Citations |
1090-3038 | 978-1-7281-1221-3 | 0 |
PageRank | References | Authors |
0.34 | 1 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Erika P. L. Almeida | 1 | 162 | 16.37 |
| Gabriel Guieiro | 2 | 0 | 0.34 |
| Ignacio Rodriguez | 3 | 112 | 13.91 |
| Troels B. Sørensen | 4 | 499 | 59.70 |
| Preben E. Mogensen | 5 | 1431 | 209.32 |
| Luis Guilherme Uzeda Garcia | 6 | 75 | 12.11 |