Qian Fu Chen

US Patent:

20230052327, Feb 16, 2023

Filed:

Nov 3, 2022

Appl. No.:

17/980366

Inventors:

- New York NY, US
Mrinal Kanti MANDAL - Austin TX, US
Jerome Patrick OFFNER - Austin TX, US
Rakesh Vidya Chandra KAPILA - Bangalore, IN
Gaurav DWIVEDI - Boston MA, US
Qian CHEN - New York NY, US
Julia Hui-ling CHEN - New York NY, US
Samuel Pierce BURNS - Philadelphia PA, US
Paul M. D'ALESSANDRO - Lake Forest IL, US

Assignee:

PricewaterhouseCoopers LLP - New York NY

International Classification:

G06F 30/27
G06K 9/62
G06V 10/75
G06N 20/00

Abstract:

Described are methods and systems for calibrating simulation models to generate digital twins for physical entities. In some embodiments, a method includes receiving a plurality of datasets for a plurality of corresponding physical entities. A calibration request is enqueued to a calibration requests queue for each received dataset and includes information indicating a dataset and a corresponding physical entity. A plurality of calibration engines and a plurality of corresponding simulation clusters for generating a plurality of calibration results for a plurality of calibration requests dequeued from the calibration requests queue can be deployed. Each calibration result is enqueued to a calibration results queue as the plurality of calibration engines generates the calibration result and a plurality of calibration results dequeued from the calibration results queue in association with the plurality of corresponding physical entities can be stored as information used to generate a plurality of corresponding digital twins.

US Patent:

20210357556, Nov 18, 2021

Filed:

May 14, 2020

Appl. No.:

16/874421

Inventors:

- New York NY, US
Mrinal Kanti MANDAL - Austin TX, US
Jerome Patrick OFFNER - Austin TX, US
Rakesh Vidya Chandra KAPILA - Bangalore, IN
Gaurav DWIVEDI - Boston MA, US
Qian CHEN - New York NY, US
Julia Hui-ling CHEN - New York NY, US
Samuel Pierce BURNS - Philadelphia PA, US
Paul M. D'ALESSANDRO - Lake Forest IL, US

Assignee:

PricewaterhouseCoopers LLP - New York NY

International Classification:

G06F 30/27
G06K 9/62
G06N 20/00

Abstract:

Described are methods and systems for calibrating simulation models to generate digital twins for physical entities. In some embodiments, a method includes receiving a plurality of datasets for a plurality of corresponding physical entities. A calibration request is enqueued to a calibration requests queue for each received dataset and includes information indicating a dataset and a corresponding physical entity. A plurality of calibration engines and a plurality of corresponding simulation clusters for generating a plurality of calibration results for a plurality of calibration requests dequeued from the calibration requests queue can be deployed. Each calibration result is enqueued to a calibration results queue as the plurality of calibration engines generates the calibration result and a plurality of calibration results dequeued from the calibration results queue in association with the plurality of corresponding physical entities can be stored as information used to generate a plurality of corresponding digital twins.