US 12,287,714 B2
Artificial aging of digital twin to debug infrastructure
Judith A. Furlong, Natick, MA (US); Said Tabet, Austin, TX (US); and Aidan O Mahony, Cork (IE)
Assigned to Dell Products L.P., Round Rock, TX (US)
Filed by Dell Products L.P., Round Rock, TX (US)
Filed on Mar. 30, 2023, as Appl. No. 18/128,461.
Prior Publication US 2024/0330136 A1, Oct. 3, 2024
Int. Cl. G06F 11/26 (2006.01); G06F 11/22 (2006.01)
CPC G06F 11/261 (2013.01) [G06F 11/2273 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A method, comprising:
obtaining at least one virtual representation of an infrastructure, the virtual representation comprising a first digital model and a second digital model, the first digital model modeling one or more physics-based characteristics of the infrastructure and the second digital model modeling data and logic characteristics associated with the infrastructure using one or more artificial intelligence-based models, wherein the virtual representation represents the infrastructure in a first state;
applying at least one dataset to the virtual representation to artificially advance at least one of the first digital model and the second digital model of the virtual representation to represent the infrastructure in a second state;
obtaining results representing the infrastructure in the second state, responsive to applying the at least one dataset to the virtual representation, wherein at least a portion of the results are indicative of an issue with the infrastructure;
iteratively updating at least one of the first digital model and the second digital model based at least in part on the results; and
initiating one or more debugging actions with respect to the infrastructure to address the issue;
wherein the method is performed by at least one processor and at least one memory storing executable computer program instructions.