Digital Twin Systems for Business Continuity Plan Patent
Summary
The USPTO has granted a patent (US12586024B2) to Tata Consultancy Services Limited for digital twin systems and methods designed to aid business continuity planning and safe return to the workplace. The patented technology uses a simulation-based, data-driven approach to model pandemic scenarios, employee characteristics, and control measures.
What changed
The United States Patent and Trademark Office (USPTO) has granted patent US12586024B2 to Tata Consultancy Services Limited for a "Digital twin based systems and methods for business continuity plan and safe return to workplace." This patent covers a simulation-based, data-driven approach that utilizes digital twin technology to model virus spread, individual employee characteristics, office locations, and pandemic control measures. The system combines agent-based and stock-and-flow modeling, leveraging historical macro-level pandemic data for infection prediction and collective analysis.
This patent grant represents a new technological innovation in business continuity and workplace safety, particularly relevant in the context of pandemic-related uncertainties. While patents do not impose direct regulatory obligations on other entities, they can influence industry practices and drive the adoption of specific technologies. Companies seeking to enhance their business continuity plans or implement safe return-to-workplace strategies may consider adopting similar digital twin or simulation-based approaches, potentially influenced by the scope of this patent. No immediate compliance actions are required for other entities, but this development signals a trend in leveraging advanced data analytics and modeling for operational resilience.
Source document (simplified)
Digital twin based systems and methods for business continuity plan and safe return to workplace
Grant US12586024B2 Kind: B2 Mar 24, 2026
Assignee
Tata Consultancy Services Limited
Inventors
Souvik Barat, Vinay Kulkarni, Avinash Mahadeo Bhide, Prabha Thomas, Dushyanthi Mulpuru, Savitha Samudrala, Abhishek Yadav, Anwesha Basu, Keerthi Kumar Krishna
Abstract
Organizations are struggling to ensure business continuity without compromising on delivery excellence in the face of pandemic related uncertainties which exists along multiple dimensions effected by authorities. This uncertainty plays out in a non-uniform manner thus leading to highly heterogeneous evolution of pandemic. Present disclosure provides digital twin based systems and methods for business continuity plan and safe return to workplace wherein a simulation-based data-driven evidence-backed approach is implemented that captures details pertaining to virus, individualistic characteristics of employees and their dependents, offices, locations of the employees and offices, and various pandemic control measures that are in effect and need to be explored using a hybrid modelling and simulation approach that combines fine-grained actor/agent model and coarse-grained stock-and-flow model. The present disclosure further leverages past macro-level data pertaining to pandemic evolution of relevant cities, states, and countries to make available information amenable for collective analysis and infection prediction.
CPC Classifications
G06Q 10/06393 G06Q 10/0635 G06Q 10/0631 G16H 50/20 G16H 50/50 G16H 50/80
Filing Date
2023-03-24
Application No.
18125774
Claims
17
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