Structural organization of a fuzzy system for monitoring the condition of equipment and control of a gas distribution station

Abstract

Objective. The objective of the study is to create an intelligent system for monitoring the condition of equipment and managing the operating modes of a gas distribution station (GDS) based on a logical-linguistic (fuzzy) model for making assessment and management decisions. Method. The theory of fuzzy sets and algorithms of L. Zade was used, which allows the use of qualitative concepts and allows the creation of logical-linguistic models of the controlled process on their basis. Result. The article provides a rationale for using an intelligent system for assessing the state of equipment and managing a gas distribution station (GDS) based on a logical-linguistic (fuzzy) model for representing the knowledge base for making assessment and management decisions. This approach provides developers of control systems for complex processes and/or objects with a clear and effective way to describe their dynamics. Conclusion. An intelligent system for assessing equipment conditions and managing the operating modes of the gas distribution station, in which the knowledge base is presented in the form of a logicallinguistic (fuzzy) model, allows for solutions to the specified problem based on the knowledge of an experienced expert (dispatcher), which will improve the quality of service and reduce the operating costs of the gas distribution station

Keywords

• gas distribution station
• gds
• object states
• logical-linguistic model
• fuzzy algorithms
• theory of fuzzy sets
• dynamics of a controlled object
• uncertain environment