A 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, loT network, comprising: creating a source digital twin for the loT network, driven by real-time sensed data from objects fed to models of the objects which are interconnected as object nodes in a directed acyclic graph, DAG, with the interconnections representing the 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, which includes the same models and interconnections as the source digital twin; connecting the input of the clone digital twin with the output of the source digital twin via a data stream synthesizer node, wherein the data stream synthesizer node adds a time increment to the output of the source digital twin so that the source digital twin drives the clone digital twin at the incremented time; and executing the source digital twin and the clone digital twin to provide the evolved state of one or more of the objects at the incremented time as the output of the clone digital twin.