Underground environment parameter prediction in a deep mine

Abstract

To manage heat load problems in deep mining, a research program for measuring and predicting the underground environment parameters was carried out in Jiudian gold mine. The deposit is buried from 150 to-950 m underground. The development drifts reach the-710 m Level and the mine's main production levels are at-510 and-550 m. The mine encountered several hot springs, though blocked, the springs still affect the underground environment. Some environment parameters were measured at three mining levels in summer and winter, including the temperature and moisture of air flow, and the temperature of the rock face and of the internal rock mass. Based on the energy conservation law and the mass conservation law, an environment parameter prediction model was built, and the corresponding computer program was developed using C++ language. Comparison of predicted and measured data proved the reliability of the environment parameter prediction model.

Zastosowanie sztucznych sieci neuronowych ANN do prognozowania temperatury powietrza w wyrobiskach ścianowych wietnamskich kopalń antracytu

“…W 2004 roku autorzy zmodyfikowali model matematyczny, aby prognozować warunki klimatyczne w wyrobiskach ślepych z wentylacja odrębną [9]. Opracowano model parametrów środowiskowych i klimatycznych w wyrobiskach kopalnianych, który zapisano w języku C++ [10]. W modelach prognozowania temperatury w wyrobiskach wykorzystuje się zasadę zachowania energii i konieczne jest uwzględnienie źródeł ciepła, takich jak autokompresja powietrza, maszyny i urządzenia górnicze oraz dopływ ciepła z górotworu itp.…”

Temperature Prediction Model in the Main Ventilation System of an Underground Mine

“…Multivariate regression analysis is one of the methods most commonly used [29,30], whereas other techniques such as artificial neural network and support vector regression are also implemented [31]. A mathematical model for underground coal mining was proposed by [32], while an initial model was also proposed for a deep gold mine [33]; however, they were validated with only a few temperature measurements. The intrinsic characteristics and high variability of the environmental conditions in an underground mine require the use of a large database recorded over a long period of time to validate any model proposed.…”