Authors: A.N. Antonov, Poligon, JSC, S.S. Buchurina, Plekhanov russian university of economics, A.V. Bashnin, Poligon, JSC
Keywords: multi-agent systems; BIM-technology; PLM-systems; regulation; data quality; ontology; knowledge base; intelligent systems; information model.
Abstract: Regulatory in the most general sense forms the basis of traditional management systems. Such a system can be defi ned as a way of alienating and accumulating expert experience. Intraditional management systems, the statistical approach prevails, it makes management extremely sensitive to the quality of corporate data. The transition to the concept of the life cycle should take into account the differences in the logic of management of each stage, the real potentialitiesfor regulating the processes of the stage. The domestic experience in creating multi-agent systems makes it possible to integrate twoapproaches of accumulating expert experience: traditional, in the form of texts of regulations; Instructions;Business processes; Libraries and so on. And dynamic, formed «according to the situation» on the basis ofknowledge accumulated in the subject ontology. In recent years, the presence of highharmonics in circuits has becomean issue of concern. International (IEC, CIGRE) and Russian companies (GOSSTANDART, PJSC FGC UES, part of PJSC Rosseti Group of Companies, PJSC Rosseti) prepare new regulations on quality and fi ltration. Under such conditions, active fi lters are recommended for designed facilities subject to dynamic loads.