Digital twin incentive method based on reputation mechanism in industrial internet of things

The invention belongs to the technical field of federated learning and edge computing, and discloses a digital twin excitation method based on a reputation mechanism in an industrial internet of things, which is completed by an excitation mechanism formed by combining a short-term excitation mechanism and a long-term excitation mechanism, namely a reputation management mechanism, and comprises the following steps of: 1, constructing a digital twin transmission model; 2, designing the type of the digital twinborn body, and classifying the digital twinborn body; 3, performing model aggregation on the digital twins by utilizing federated learning, compensating the edge digital twins to obtain the utility of each digital twinborn device and the utility of a task publisher, and performing delay analysis on the federated learning of each digital twinborn; and 4, designing a fair and stable federal learning model. The mixed long and short term incentive mechanism is added into federated learning of the digital twinb