IP Library Patent Application 18072884
Patent Application
App. No. 18/072,884

INTELLIGENT VIBRATION DIGITAL TWIN SYSTEMS AND METHODS FOR INDUSTRIAL ENVIRONMENTS

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Quick Facts
Patent No.
US None
App. No.
18/072,884
Filed
Dec 1, 2022
Art Unit
OPAP
USPC
702/188
Abstract

A platform for updating one or more properties of one or more digital twins including receiving a request for one or more digital twins; retrieving the one or more digital twins required to fulfill the request from a digital twin datastore; retrieving one or more dynamic models corresponding to one or more properties that are depicted in the one or more digital twins indicated by the request; selecting data sources from a set of available data sources based on the one or more inputs of the one or more dynamic models; obtaining data from selected data sources; determining one or more outputs using the retrieved data as one or more inputs to the one or more dynamic models; and updating the one or more properties of the one or more digital twins based on the one or more outputs of the one or more dynamic models.

Claims (16)

1 . A system for monitoring interaction within an industrial environment, the system comprising:

a digital twin datastore including data collected by a set of proximity sensors disposed within an industrial environment, the data including location data indicating respective locations of a plurality of elements within the industrial environment; and

one or more processors configured to:

maintain, via the digital twin datastore, an industrial-environment digital twin for the industrial environment;

receive signals indicating actuation of at least one proximity sensor within the set of proximity sensors by a real-world element from the plurality of elements;

collect, in response to actuation of the at least one proximity sensor, updated location data for the real-world element using the at least one proximity sensor; and

update the industrial-environment digital twin within the digital twin datastore to include the updated location data.

2 . The system of claim 1 , wherein each of the set of proximity sensors is configured to detect a device associated with the user.

3 . The system of claim 2 , wherein the device is a wearable device and an RFID device.

4 . The system of claim 1 , wherein each element of the plurality of elements is a mobile element.

5 . The system of claim 1 , wherein each element of the plurality of elements is a respective worker.

6 . The system of claim 1 , wherein the plurality of elements includes mobile equipment elements and workers, mobile-equipment-position data is determined using data transmitted by the respective mobile equipment element, and worker-position data is determined using data obtained by the system.

7 . The system of claim 6 , wherein the worker-position data is determined using information transmitted from a device associated with a respective worker.

8 . The system of claim 1 , wherein the actuation of the at least one proximity sensor occurs in response to interaction between the respective worker and the proximity sensor.

9 . The system of claim 1 , wherein the actuation of the at least one proximity sensor occurs in response to interaction between a worker and a respective at least one proximity-sensor digital twin corresponding to the at least one proximity sensor.

10 . The system of claim 1 , wherein the one or more processors collect updated location data for the plurality of elements using the set of proximity sensors in response to actuation of the at least one proximity sensor.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Dec 1, 2022
From: CELLA, CHARLES H.; DUFFY, GERALD WILLIAM, JR.; MCGUCKIN, JEFFREY P.; EL-TAHRY, TEYMOUR S.; CARDNO, ANDREW; PARENTI, JENNA
To: STRONG FORCE IOT PORTFOLIO 2016, LLC
Reel/Frame 061940/0386 →