Development of the ontology model for the technical condition of hydraulic structures

Abstract

Hydrotechnical constructures are complex structures that represent the interaction between soil-, water- and technological environment. For trouble-free and safe operation of hydrotechnical constructures, as well as maintaining them in operational mode, by the operating organization, as well as by organizations that conduct technical supervision, constant technical inspections are carried out to fix the damage (defects). This allows you to determine the actual technical condition of structures. Currently, building information modelling (BIM) methodology is most widely used for modelling structures. This methodology supports the seamless exchange of all information between relevant participants using digital technology. However, IFC files are mainly used to store data on structures. The evolution of this methodology provides for interoperability based on the network. The W3C LBD-CG community group presented an adapt extensible ontology called Building Topology Ontology (BOT), which provides a high-level description of the topology of structures, including the natures and types of hydrotechnical constructures depending on the purpose and operating conditions of structural elements of different levels. Authors have created an adapted ontology that does not have the same disadvantages as the IFC in terms of size and complexity. Reuse of existing ontologies has been an important priority, which allows the inclusion of ontologies for specialized areas. The issue of describing the technical condition of hydrotechnical constructures is considered. Basic terms and statements are introduced that extend the multi-sorted language of applied logic to describe the knowledge of this subject area. The ontology model provides terminology for defining damage associated with hydrotechnical constructures. The ontology model makes it possible to introduce into the developed ontologies the relationship of damages with structural elements and spatial zones of their location. The ontology can also be used to represent observations of the technical state of damage in a machine-interpreted format.