Ontology-Based Methodology for the Structural Synthesis of a Heterogeneous Data Warehouse for Diagnostics of High-Voltage Equipment at Power Facilities

Abstract

This paper considers a methodology for the structural synthesis of a heterogeneous data warehouse (HDW) used to store data accumulated during the technical diagnostics of high-voltage equipment at power facilities. The need for such a methodology arises from the fact that data models traditionally used for storing diagnostic information (temporal, relational, and file-based) do not ensure semantic consistency of the data. As a result, significant difficulties arise in the cause-and-effect interpretation of technical diagnostic results. To ensure semantic consistency of diagnostic data that are heterogeneous in their physical nature, the domain of technical diagnostics of high-voltage electrical equipment is formalized as a system of entities and relationships, together with a set of semantic mapping and ontological normalization operators. A structure for representing diagnostic data is developed that enables the transition from measured parameters to diagnostic facts and operational recommendations. The proposed methodology ensures reproducibility, scalability, and evolutionary stability of the diagnostic data storage structure and can be applied in the construction of digital models of equipment technical condition and in the integration of diagnostic data into corporate asset management systems.