Industrial Automatic Control Systems and Controllers Annotation << Back Automated Forecasting and Pre-alert Alert System on Industrial Situations in Industrial Enterprises for the Account of Analysis of Miscellaneous Information from BigData V.V. Nikonov, M.A. Chistyakova, E.M. Miklyaev An original mathematical model that realizes the relationship between the damaging factors accumulated in the automated system and the forecast of occurrence of contingencies is developed in the work. An algorithm for predicting abnormal situations is proposed, based on the approximation of polynomial depreciation dependencies on various conditions. An automated system for forecasting and early warning of an abnormal situation in industrial enterprises is developed through analysis of heterogeneous information from BigData. Keywords: abnormal situation; approximation; damaging factors; polynomial dependencies; BigData; forecasting; automated system; industrial enterprises; transport infrastructure. Contacts: E-mail: it-7nik@yandex.ru, E-mail: evgeni@miklaev.ru Pp. 09-16.