Abstract
we proposed the concept of a low-code/no-code platform for automating the construction of process control systems in the oil and gas industry based on ontological modeling. We carried out a comparative analysis of ontology engineering methodologies (Methodology, On-To-Knowledge, Gruber’s ontology design principles, BORO) and ontology description languages (RDF, RDFS, OWL, KIF, CycL, Gellish) to justify the selection of OWL and the Protégé environment as the implementation tool. We described a five-level hierarchical architecture of the platform, which covers physical devices, controllers, data processing, visualization, and business logic. We proposed a generalized algorithm for platform operation, which ensures the sequential transformation of ontological models through BPMN and DFD diagrams into a project meta-description and final program code. We formulated the basic requirements of the concept, including support for domestically produced lowperformance computing systems.
