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PL
The article addresses – based on an existing section of a tram line – the evaluation of the capability to substitute an existing train substation (as a civil structure) with several smaller ones. Taking into consideration the real estate prices and the shortage of available plots in the centers of larger cities, the localization of a substation building poses a significant location and budget challenge, when it comes to new tram lines. Additionally, such objects (substations) often spark concern and protests among the tenants of the nearby houses, as they are considered to be the source of a dangerous electromagnetic radiation and, sometimes, noise. The possibility to significantly reduce the size of those objects would mitigate the aforementioned challenges – both environmental and budget-related.
PL
Mining industry is a key sector of many national economies, thus even a small crack in a mining site echoes nationwide. This strategic sector is subjected to special safety care in every aspect, including operational safety of engineering structures. The newest technologies are employed to diagnose and monitor the working structures and buildings. In this article we propose an innovative idea of combining GPS monitoring system with artificial neural network prognosing to build a prediction tool for displacement of mining shafts in operational conditions. The paper describes a training of a neural network system whose task is to prognose the displacements of the top of a mine shaft tower in direction in a selected period of time. The data used for the training come from the GPS monitoring of displacements of the top of the S 1.2 mining shaft tower. The tower is located in the mining works LW “Bogdanka”.
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