Ontology-Based Decision Support for Boiler Operation
Vladimir Nikolaevich Khokhlovskiy, E. Borisov, Ali Deeb, Iliya Orlov · 2025
The paper is devoted to the use of ontology-based decision support to improve the efficiency of boiler operation. One of the ways to solve the problem is the implementation of a common semantic model that will standardize the semantic properties of data for the systems under consideration in a specific subject area. This model can be created using semantic technologies that unify the meaning, content and format of data. The paper considers the theoretical aspects and practical implementation of the concept of decision support based on use of knowledge base with real-time synchronization providing semantic interoperability for systematization and formalization of an area related to a boiler unit in an intelligent control system. For the first time (according to available sources), an ontology of a boiler unit is proposed, developed in the open Protégé system and describing its structure, classes, relations and other components. A$\mathbf{C} \#$application demonstrates the ability to form relations with nonstandard content (for example, expressed as a triple “«Percentage of continuous boiler blowdown» «Affects the consumption of superheated steam with a delay» of 5.0 minutes”), which is a distinctive feature of the proposed approach. The knowledge base obtained as a result of the application's operation represents a formal description of the boiler unit and can be used for predictive analytics and in decision support systems.