Mathematical model for information monitoring system of fat and oil enterprises

Intelligence of industrial enterprises is developing consistently and steadily. The use of information technologies and classical forms of automation is not sufficient for industrial enterprises. The use of integrated and flexible information monitoring systems is considered to be highly effective. Nowadays, the methods of creating intellectual production systems are widely used in the creation of information monitoring system. In this article, we have elaborated a mathematical model for the information monitoring system software for fat and oil enterprises in the Petri net. Production process at fat and oil factories is carried out in workshops in conveyor form. It was proposed to build a mathematical model of information monitoring software through the Petri net. The Petri net is a convenient mathematical method for modeling parallel processes. This model is the basis for creating a module for monitoring production processes at an enterprise. From the developed model, it is known that the production processes are observed and monitored by logging into each production process, and an algorithm has been developed to implement this process. In order for model transitions to occur, markers must be presented in circumstances. By the dynamics change of the markers, an opportunity to track production processes will appear. The movement of the markers is performed through transitions.