Simulation model of the system for measuring physical and chemical parameters of fuel and lubricants based on coloured Petri networks.

Authors

DOI:

https://doi.org/10.34185/1562-9945-3-164-2026-01

Keywords:

simulation model, physicochemical parameters, fuel and lubricants, monitoring, measurement system, colour Petri nets

Abstract

The article considers the construction of a model of a fuel and lubricant level measurement system based on colour Petri nets. A comparative analysis of fuel level measurement methods and systems is carried out. A description of a measuring system based on the magneto strictive method and its operation algorithm are given. The system consists of 4 inputs for signals of different types coming from sensors, two signal processing modules and an indication module. The model of the fuel level measurement system is built in the CPN Tools environment. A detailed description of the model structure is given. Simulation modelling was carried out. The time and structural parameters of the model were investigated. The results of statistical processing of the model parameters are presented.

The paper describes the construction of a model of a fuel level measurement system based on color Petri nets. A comparative analysis of fuel level measurement methods and systems is carried out. A description of a measuring system based on the magnetostrictive method and its operation algorithm are given. The system consists of 4 inputs for signals of different types coming from sensors, two signal processing modules and an indication module. The model of the fuel level measurement system is built in the CPN Tools environment. A detailed description of the model structure is given. Simulation modeling is carried out. The time and structural parameters of the model were investigated. The results of statistical processing of the model parameters are presented. The constructed model allows to increase the efficiency of the fuel level measurement system by optimizing the structure and increasing the speed of information processing.

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Published

2026-04-30