Design Ontology for Situational Digital Twins in Modeling Structural Safety Within a Group of Intelligent Robots

Problem statement: The paper analyses some opportunities to use specialized digital twins for situational modeling of a non-stationary, spatially distributed group of SEMS robots by means of the intelligent modeling system previously developed by the author. Purpose of research: To increase the flexibility of modeling newly created collectives of robots, the concept of structural safety is presented, which generalizes ways to take into account various known aspects of safety. The relevance of this task is determined by the complication of robots’ interactions and the corresponding increase in the possibility of the most dangerous dependent (complex, cascading) failures, as well as the growth in the volume of data available for analysis as a result of the rapid development of the Internet of Things (IoT). Results: An ontology has been proposed for designing of situational digital twins aimed at the coordination of robots’ interactions, as well as for the preventive safety analytics of such interactions. The novelty of the proposed approach lies in the comprehensive application of expert knowledge at all stages of modeling within a cause-and-effect paradigm in order to synthesize preferred options for implementing organizational structures for groups of robots. Practical significance: The presented approach will allow developing a new sector of the IoT, the Internet of Models of Things, where the situational digital twins of different components of systems, and robots in particular, will be used for maintaining coordinated and safe functioning of a team of robots in the course of implementing a joint task.