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PNIPU: Cyber-physical system to reduce the risk of accidents at petrochemical enterprises

Product
The name of the base system (platform): Artificial intelligence (AI, Artificial intelligence, AI)
Developers: PNIPU Perm National Research Polytechnic University
Date of the premiere of the system: 2022/03/30
Branches: Mining,  Oil industry
Technology: APCS

Main article: APCS - standard structure

2022: Presentation of the Cyberphysical System

On March 30, 2022, Perm Politech announced that the development of its scientists would help reduce the risk of accidents at petrochemical enterprises.

Types of valves. Illustration: emk24.ru

To avoid emergency situations at petrochemical plants, pipelines and other equipment are supplied with safety valves. These are technical devices that are designed for emergency pressure relief if it exceeds the permissible value. The right choice of safety valves, ensuring industrial safety and economic efficiency of enterprises, will help the cyber physical system, which is being developed by scientists at Perm Polytechnic.

The developers presented the results of the study in the journal Cyber-Physical Systems: Design and Application for Industry 4.0.

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"When determining the characteristics of safety valves, it is important to take into account chemical the composition, pressure, temperature and volume of the substance in the apparatus, as well as the parameters and type of the process. These data allow to calculate the emergency flow rate of the working medium - the optimal capacity of the valve. This will help to urgently reduce the increased pressure in the vessel or pipeline in order to prevent their destruction and avoid emergency situations on, petrochemical productions"

tells the head of the Department of Equipment and Automation of Chemical Production of Perm Polytechnic, Doctor of Technical Sciences, Associate Professor Yevgeny Moshev.
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Determining the characteristics of safety valves is a rather time consuming process. To automate it, Associate Professor Yevgeny Moshev and graduate student Alexander Nikolin developed a functional model and heuristic-computational algorithms. In these models, when calculating parameters and selecting optimal grades of safety valves, they use methods of artificial intelligence theory.

Based on the model and algorithms, scientists at Perm Polytechnic plan to create a cyberphysical system that will not only simplify and accelerate the processes of calculating and selecting safety valves, but also raise them to a better level.  The introduction of this system will increase the industrial safety and economic efficiency of petrochemical industries.