Ontological modeling in equipment quality management at oil pipeline transport facilities

The paper presents the results of research conducted at the Pipeline Transport Institute LLC regarding digitalization of quality management processes for the equipment used at the main pipeline transport facilities of oil and oil products. A technique is proposed to combine algorithms for generating ontological models of pipeline facilities, smart (SMART) technologies for structuring text documents, which enables fundamental transformation of existing methods of work with regulatory requirements for equipment at all stages of its lifecycle. Specific features of industry requirements for equipment, both in the existing (traditional) human-readable format and in the proposed machine-readable and machine-interpretable SMART form, are considered, and plans for further digital transformation of equipment quality management processes are outlined. The relevance of this article correlates with the recommendations and plans of the Federal Agency for Technical Regulation and Metrology of the Russian Federation to increase the share of developed standardization documents in machine-readable format to 80 %, reduce the average time to develop regulatory documents to 7 months, promote machine-readable requirements at the federal level. Generating text documents from ontological models using document templates minimizes routine operations, which enables to reallocate resources to more important tasks and reduce the number of human errors. The transition to working with requirements in a digital format shall enable design institutes, construction and supervisory organizations, certification bodies, and testing laboratories (centers) operating in the field of pipeline transport of oil and oil products to reduce the costs of creation, adjustment and expert analysis of all types of regulatory requirements.

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