IP Library Granted Patent US 10,542,382
Granted Patent B2
US 10,542,382 · App. 16/118,077 · Granted Jan 21, 2020

Methods and apparatus to facilitate proximity detection and location tracking

Inventors: Brandon Stephen Good (Niskayuna, NY); Charles Burton Theurer (Alplaus, NY); Shaopeng Liu (Clifton Park, NY); Robert Lee Wallace (Glen Allen, VA)
Assignee: General Electric Company
H04W4/029G01S5/0284G01S5/0289G06F19/00G06K7/10425G06Q10/087G06Q50/22G16H40/20G16H40/63G16Z99/00H04L43/106H04L67/18H04W4/025H04W4/80G16H40/40H04W84/12
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Quick Facts
Patent No.
US 10,542,382
App. No.
16/118,077
Granted
Jan 21, 2020
Kind
B2
Abstract

Methods, apparatus, systems and articles of manufacture are disclosed to facilitate proximity detection and location tracking. An example method includes receiving messages collected by a badge in an environment, the messages including signal strength and a timestamp. The example method also includes assigning a location in the environment to the badge based on a first subset of the messages. The example method also includes identifying an asset in a second subset of the messages. The example method also includes updating a current location associated with the asset based on a relative proximity of the asset to the badge, wherein the current location corresponds to a first time and the updated location corresponds to a second time, and wherein a change in location between the current location and the updated location indicates movement of the asset in the environment.

Claims (24)

1. A real time location system server comprising:

a message receiver to receive mobile beacon badge messages;

a badge location engine to filter the mobile beacon badge messages to identify a subset of the messages having a first tag type and to determine a distance of a first badge based on a first received beacon badge message from the subset of messages associated with the first tag type; and

an asset location engine to determine, based on the first tag type and the distance of the first badge, a location of a first asset with respect to the first badge.

2. The server of claim 1 , wherein the first tag type is a fixed-location asset tag type.

3. The server of claim 2 , wherein the badge location engine further includes a distance determiner to parse the received beacon badge messages to associate a tag location with the first badge.

4. The server of claim 1 , wherein the first tag type is a mobile-location asset tag type.

5. The server of claim 4 , wherein the asset location engine further includes a location classifier to classify tag location relative to the first badge.

6. The server of claim 5 , wherein the location classifier is to classify a location of a tag corresponding to the received beacon badge messages of the mobile-location asset tag type.

7. The server of claim 6 , wherein the location classifier is to classify the location of the tag based on channel identifying information included in the beacon badge messages.

8. The server of claim 6 , wherein the asset location engine further includes a location handler to determine the location of the first asset based on the classification of the location of the tag.

9. The server of claim 1 , further including a report generator to map locations of beacon badges including the first badge and mobile-location assets including the first asset based on the received beacon badge messages, the badge location engine, and asset location engine.

10. The server of claim 1 , wherein the asset location engine is to generate a confidence score associated with the determination of the location of the first asset based on the first received beacon badge message.

11. The server of claim 10 , wherein the confidence score is to be used by the asset location engine to determine whether to update a stored first asset location with the determined location of the first asset.

12. A non-transitory machine-readable storage medium comprising instructions that, when executed, cause a machine to at least:

implement a message receiver to receive beacon badge messages;

implement a badge location engine to filter the beacon badge messages to identify a subset of the messages having a first tag type and to determine a distance of a first badge based on a first received beacon badge message from the subset of messages associated with the first tag type; and

implement an asset location engine to determine, based on the first tag type and the distance of the first badge, a location of a first asset with respect to the first badge.

13. The storage medium of claim 12 , wherein the first tag type is a fixed-location asset tag type.

14. The storage medium of claim 13 , wherein the instructions, when executed, cause the machine to implement the badge location engine including a distance determiner to parse the received beacon badge messages to associate a tag location with the first badge.

15. The storage medium of claim 12 , wherein the first tag type is a mobile-location asset tag type.

16. The storage medium of claim 15 , wherein the instructions, when executed, cause the machine to implement the asset location engine to include a location classifier to classify tag location relative to the first badge.

17. The storage medium of claim 16 , wherein the instructions, when executed, cause the machine to implement the location classifier to classify a location of a tag corresponding to the beacon badge messages of the mobile-location asset tag type.

18. The storage medium of claim 17 , wherein the instructions, when executed, cause the machine to implement the asset location engine to include a location handler to determine the location of the first asset based on the classification of the location of the tag.

Assignments (2)
NUNC PRO TUNC ASSIGNMENT Recorded May 8, 2025
From: GENERAL ELECTRIC COMPANY
To: GE PRECISION HEALTHCARE LLC
Reel/Frame 071225/0218 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Aug 30, 2018
From: GOOD, BRANDON STEPHEN; THEURER, CHARLES BURTON; LIU, SHAOPENG; WALLACE, ROBERT LEE
To: GENERAL ELECTRIC COMPANY
Reel/Frame 046760/0252 →
Cited By (4)
US 12,315,003 US 12,340,413 US 12,400,394 US 12,661,285