Statistical Modelling of Industrial Dimensional Of Sulphide Ores Stock

Enterprises producing/consuming high amounts of ore are obliged to work in stocks to be affected by problems arising from production disruptions. Made of industrial-scale due to self-heating may occur in the stock, economic, security operation and environmental problems. In this study, Canada / Sudbury in producing large quantities of sulphide ore and the production of surplus stock of a company in the field of storing ore inventory was carried out in the field. The company s stock area; respectively at an ore pile of 6.0x9.0x3.0 m width, length and height is formed. Temperature inside the stockpile created by placing the stock in the interior of the 6 temperature sensor data is collected. At the same time the ore pile on the influential parameters such as temperature, air humidity, atmospheric pressure and wind speed is continuously measured values at the same time. The values obtained from the stock multiple regression analysis was applied and we developed a statistical model. Improved correlation coefficients obtained from statistical models have been measured to be approximately 65.3% level.