Basic principles for classification of equipment of energy facilities

Technologies are presented that are designed to implement a risk-based approach in the management of production assets in terms of implementing ontological modeling to assess the technical condition of equipment, potential damage, risk, determination of the composition, scope of work, timing, cost and scheduling, predictive diagnosis of equipment.

The problems of creating universal classifiers of production assets, duplicate items that have different interpretations in the name of the same equipment group, an incomplete list of positions by equipment groups, inconsistency of classification items and their attributes in various directories are identified and presented.

Scientific approaches are outlined to the formation of classifiers of the main technological equipment (MTE) in the electric power industry. The place of classification in the general algorithm of ontological modeling of production activities of energy facilities and the industry as a whole is determined, the urgent need is pointed out for classification work to introduce digital asset management technologies.

National standards are presented that define the requirements for the profiles of information models and the organization of information communication in the electric power industry and establish the composition of the information model to ensure unambiguous interpretation of transmitted and received data by all participants in the information communication in the electric power industry and comply with international standards, which allows implementing ontological modeling in accordance with the series CIM standards of the International Electrotechnical Commission (IEC).

Analysis of the experience of the MTE classification in energy companies by type of production activity is made and presented, with the main problems in classifying their energy equipment and other physical assets identified. Comparative characteristic is given to the Russian classification systems and foreign ERP-systems. General approaches to classification issues are formed. Possible options for classifying assets are considered. Units of classification by depth and significance are defined for further use in the process of managing the “operation” stage of their life cycle. Specific directions are presented for using uniform equipment classifiers for cluster analysis of physical assets and developing decisions on the technical impact on them during the life cycle.

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