METHOD AND SYSTEM FOR PREDICTING THE EVOLUTION OF SIMULATION RESULTS FOR AN INTERNET OF THINGS NETWORK

摘要

A method of predicting the evolution of simulation results for an Internet of Things (IoT) network by creating a source digital twin for the IoT network, driven by real-time sensed data from objects fed to models of the objects interconnected as object nodes in a directed acyclic graph (DAG) with the interconnections representing flow of data, the source digital twin outputting a state of one or more of the objects in real time; creating a clone digital twin of the source digital twin; connecting input of the clone digital twin with output of the source digital twin via a data stream synthesizer node, the data stream synthesizer node adds a time increment to the output of the source digital twin to drive the clone digital twin at the incremented time. The source digital twin and the clone digital twin are executed to indicate an evolved state of one or more of the objects at the incremented time as the output of the clone digital twin.