Warehouse virtual simulation scheduling method and system based on digital twinning

Abstract

The present application relates to the technical field of digital twinning, in particular to a warehouse virtual simulation scheduling method and system based on digital twinning, which comprises collecting multi-source service data of the retired intelligent electric meter, such as the running life, cumulative ultraviolet radiation, historical heat load cycle and current impact; predicting the shell friction coefficient through the material evolution model, and performing fatigue matching and thermal displacement correction to fit the centroid deviation coordinates; injecting the fitting parameters into the virtual entity model to perform acceleration gradient simulation, generating a dynamic distribution cloud map to guide speed limit, and combining virtual-real pose deviation fusion calculation to calculate the nonlinear prediction compensation value; finally, extracting the cloud map safety threshold and correcting the running track, solving the dynamic execution torque based on the friction coefficient and centroid deviation constraint, and driving the sorting mechanism to perform the work. The present application realizes the accurate adaptive sorting of the retired electric meter through the digital twinning attribute reconstruction.

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