Abstract
Every year the industry in the world is gaining momentum: the number of industrial enterprises is growing, and with it the number of accidents at them. Oil today is the most common product for the synthesis and production of products. Increasing the level of fire protection systems at oil refine¬ries remains one of the most important components of protecting people from technogenic hazards. The speed of innovation allows the application of artificial intelligence in the creation of automated fire protection systems. Research objective. This study is aimed at building a model of an automated integrated fire protection system (AISPPO).Through the synthesis of digital automata and minimizing the control functions of the digital model is created a system of automated integrated fire protection system. Materials and methods. To solve the problems of research used methods of constructing graphical algorithms of automated integrated fire protection system. This system is a new approach to solving the issue of safety of industrial facilities in the oil refining industry. Results. The proposed new model of the software implementation of a digital automaton in an automated integrated system of fire detection and monitoring of an oil refinery has made it possible to create a bank of calculated and analytical data on all potential types of failures in the structure of the enterprise in order to train personnel and make changes to existing methodological documents and instructions for personnel actions in a particular situation. Conclusion. The developed technology allows you to process the incoming signal contained in cyclograms into an intermediate form for the synthesis of digital automata using innovative tools.
Highlights
The model of a digital automaton (CA) of an automated firefighting system with input and output signals induces a one-to-one mapping of the set of commands in the input signals into the set of commands in the output signals
In this article we consider the stages of solving the problem of synthesizing automata by the mappings induced by them
According to the developed functioning algorithm decided that the scheme of the CA model of the automated fire suppression system (AFS) will include 14 a0, a1, a2, a13 states, where a0 – the initial state [2]
Summary
Every year the industry in the world is gaining momentum: the number of industrial enterprises is growing, and with it the number of accidents at them. Oil today is the most common product for the synthesis and production of products. Increasing the level of fire protection systems at oil refineries remains one of the most important components of protecting people from technogenic hazards. The speed of innovation allows the application of artificial intelligence in the creation of automated fire protection systems. This study is aimed at building a model of an automated integrated fire protection system (AISPPO).Through the synthesis of digital automata and minimizing the control functions of the digital model is created a system of automated integrated fire protection system. To solve the problems of research used methods of constructing graphical algorithms of automated integrated fire protection system. This system is a new approach to solving the issue of safety of industrial facilities in the oil refining industry
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