THREAT IDENTIFICATION OF EMERGENCY SITUATIONS AT OIL INDUSTRY FACILITIES

Abstract

The development of an intelligent information system combining a situational approach and methods of statistical control over processes is proposed. The main goal is to identify and prevent the threat of emergency shutdowns in the boiler room. The initial data is filtered, then control charts are constructed, which determine the limits of the stable state of operation of the boiler rooms. The system promptly signals any deviations during the process of heat generating. The rules of Shewhart control charts form the basis for classification of emergency situations and are entered into the system’s knowledge base, where each class corresponds to one of the possible basic solutions.