DIGITAL PLATFORM USING CYBER-PHYSICAL TWIN STRUCTURES PROVIDING AN EVOLVING DIGITAL REPRESENTATION OF A RISK-RELATED REAL WORLD ASSET FOR QUANTIFYING RISK MEASUREMENTS, AND METHOD THEREOF

摘要

Proposed is a digital platform (1) and method for avatar measurements of temporally evolving risk-based real-world measuring parameters. The digital platform (1) comprising measuring sensors (2) and loT sensory associated with a specific physical or intangible real-world asset (3) or living object (33) to be monitored. A digital twin representation (4) is generated of the physical or intangible real-world asset (3) or living object (33) from data structures of a data store (10) based on captured structural (421), operational (422) and/or environmental (423) property parameters (42). Data structures (44) for the digital twin representation (4) representing future states (441) of each of the plurality of subsystems (41) of the real-world asset or object (3) are generated as value time series over a future time period based on an application of simulations using cumulative damage models, the cumulative damage models generating the effect of the operational and/or environmental asset or object parameters on the twinned real-world asset or object (3) of the future time period. By means of the digital platform (1), the digital twin representation (4) is analyzed providing a measure for a future state or operation of the twinned real-world asset or object (3) based on the generated value time series of values over said future time period, the measure being related to the probability of the occurrence of a predefined even to the real-world asset or object (3).