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2 2017

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Possibility analysis of the use of smooth spline functions to determination the average course of mining area curvatures obtained from results of geodesic measurements

Orwat J.

Systemy Wspomagania w Inżynierii Produkcji

2017

Vol. 6, iss. 4

69--75

In this paper was done an analysis of possibility of the use of smooth spline functions to obtaining of an average course of mining area curvatures. Their values were calculated on the basis of geodesic observations results, were conducted into the boundaries of some mining area. The analysis was done based on the counting of standard deviations between the empirical and mean values of curvatures (σC) and variability indicators of curvatures’ random dispersion (MC). They were compared with the pattern values occurring in the professional literature.

W pracy dokonano analizy możliwości wykorzystania wygładzonych funkcji sklejanych do wyznaczenia przeciętnego przebiegu krzywizn terenu górniczego, których wartości obliczono na bazie wyników obserwacji geodezyjnych prowadzonych w granicach pewnego obszaru górniczego. Niniejszą analizę przeprowadzono w oparciu o obliczenie odchyleń standardowych pomiędzy empirycznymi a średnimi wartościami krzywizn (σK) oraz wskaźników zmienności rozproszenia losowego krzywizn (MK) i porównanie ich wartości z wzorcowymi, pojawiającymi się w literaturze przedmiotu.

Average course approximation of measured subsidence and inclinations of mining area by smooth splines

Orwat J., Mielimąka R.

Journal of Sustainable Mining

2017

Vol. 16, iss. 1

8--13

The results of marking average courses of subsidence measured on the points of measuring line no. 1 of the “Budryk” Hard Coal Mine, set approximately perpendicularly to a face run of four consecutively mined longwalls in coal bed 338/2 have been presented in the article. Smooth splines were used to approximate the average course of measured subsidence after subsequent exploitation stages. The minimising of the sum of the squared differences between the average and forecasted subsidence, using J. Bialek's formula, was used as a selection criterion of parameter values of smoothing an approximating function. The parameter values of this formula have been chosen in order to match forecasted subsidence with measured ones. The average values of inclinations have been calculated on the basis of approximated values of observed subsidence. It has been shown that by doing this the average values of extreme measured inclinations can be obtained in almost the same way as extreme observed inclinations. It is not necessary to divide the whole profile of a subsidence basin into parts. The obtained values of variability coefficients of a random scattering for subsidence and inclinations are smaller than their values which occur in the literature.