IP Library › Granted Patent US 12,372,946
Granted Patent B2
US 12,372,946 · App. 18/202,773 · Granted Jul 29, 2025

Systems and methods for enabling user acceptance of a smart band data collection template for data collection in an industrial environment

Inventors: Charles Howard Cella (Pembroke, MA); Gerald William Duffy, Jr. (Philadelphia, PA); Jeffrey P. McGuckin (Philadelphia, PA); Mehul Desai (Oak Brook, IL)
Assignee: Strong Force IoT Portfolio 2016, LLC
G06N3/006B62D15/0215G01M13/028G01M13/04G01M13/045G05B13/028G05B19/4183G05B19/4184G05B19/41845G05B19/4185G05B19/41865G05B19/41875G05B23/0221G05B23/0229G05B23/024G05B23/0264G05B23/0283G05B23/0286G05B23/0289G05B23/0291G05B23/0294G05B23/0297G06F18/2178G06N3/02G06N3/044G06N3/045G06N3/047G06N3/084G06N3/088G06N5/046G06N7/01G06N20/00G06Q10/04G06Q10/0639G06Q30/02G06Q30/0278G06Q30/06G06Q50/00G06V10/7784G06V10/82G16Z99/00H02M1/12H03M1/12H04B17/23H04B17/309H04B17/318H04B17/345H04L1/0002H04L1/0041H04L1/18H04L1/1874H04L67/1097H04L67/12H04W4/38H04W4/70B62D5/0463G05B19/042G05B23/02G05B23/0208G05B2219/32287G05B2219/35001G05B2219/37337G05B2219/37351G05B2219/37434G05B2219/37537G05B2219/40115G05B2219/45004G05B2219/45129G06F17/18G06F18/21G06F18/217G06F18/25G06N3/126H01B17/40H04B17/29H04B17/40H04L1/0009H04L5/0064H04L67/306Y02P80/10Y02P90/02Y02P90/80Y04S50/00Y04S50/12Y10S707/99939
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Quick Facts
Patent No.
US 12,372,946
App. No.
18/202,773
Granted
Jul 29, 2025
Kind
B2
Abstract

A system includes an expert graphical user interface configured to: present a list of reliability measures of an industrial machine, facilitate a selection by a user of a reliability measure from the list of reliability measures, present a representation of a smart band data collection template associated with the reliability measure selected by the user, and a data routing and collection system configured to, in response to a user indication of acceptance of the smart band data collection template, collect data from a plurality of sensors in an industrial environment in response to a data value from one of the plurality of sensors being detected outside of an acceptable range of data values.

Claims (44)

1. A system, comprising:

an expert graphical user interface configured to:

present a list of reliability measures of an industrial machine;

facilitate a selection by a user of a reliability measure from the list of reliability measures;

present a representation of a smart band data collection template associated with the reliability measure selected by the user; and

a data routing and collection system configured to, in response to a user indication of acceptance of the smart band data collection template, collect data from a plurality of sensors in an industrial environment in response to a data value from one of the plurality of sensors being detected outside of an acceptable range of data values.

2. The system of claim 1 , wherein the list of reliability measures correlates to at least one failure including at least one of: stress, vibration, heat, wear, ultrasonic signature, or operational deflection shape effect.

3. The system of claim 1 , wherein the list of reliability measures comprises at least one of: industry average data, manufacturer's specifications, manufacturer's material specifications, or manufacturer's recommendations.

4. The system of claim 3 , wherein the manufacturer's specifications comprise at least one of: a cycle count, a working time, a maintenance recommendation, a maintenance schedule, an operational limit, a material limit, or a warranty term.

5. The system of claim 4 , wherein the data routing and collection system is further configured to correlate the plurality of sensors in the industrial environment to the manufacturer's specifications.

6. A computer-implemented method, comprising:

 presenting in an expert graphical user interface a list of reliability measures of an industrial machine;

 facilitating a selection by a user of a reliability measure from the list of reliability measures via the expert graphical user interface;

presenting a representation of a smart band data collection template associated with the reliability measure selected by the user via the expert graphical user interface; and

in response to a user indication of acceptance of the smart band data collection template, configuring a data routing and collection system to collect data from a plurality of sensors in an industrial environment in response to a data value from one of the plurality of sensors being detected outside of an acceptable range of data values.

7. The method of claim 6 , wherein the list of reliability measures correlates to at least one failure including at least one of: stress, vibration, heat, wear, ultrasonic signature, or operational deflection shape effect.

8. The method of claim 6 , wherein the list of reliability measures comprises at least one of: industry average data, manufacturer's specifications, manufacturer's material specifications, or manufacturer's recommendations.

9. The method of claim 8 , wherein the manufacturer's specifications comprise at least one of: a cycle count, a working time, a maintenance recommendation, a maintenance schedule, an operational limit, a material limit, or a warranty term.

10. The method of claim 8 , further comprising correlating the plurality of sensors in the industrial environment to the manufacturer's specifications.

11. The method of claim 10 , wherein the correlating of the plurality of sensors in the industrial environment comprises matching a duty cycle specification to at least one sensor that detects revolutions of a moving part.

12. The method of claim 10 , wherein the correlating of the plurality of sensors in the industrial environment comprises matching a temperature specification with a thermal sensor disposed to sense an ambient temperature proximal to the industrial machine.

13. The method of claim 10 , further comprising dynamically setting the acceptable range of data values based on a result of the correlating of the plurality of sensors in the industrial environment.

14. The method of claim 10 , further comprising automatically determining at least one of the plurality of sensors for detecting the data value outside of the acceptable range based on a result of correlating.

15. A computer-implemented method, comprising:

representing a plurality of components of an industrial machine from an industrial environment;

selecting, by a user, at least one representation of a component among the plurality of components via an expert graphical user interface;

searching a database of industrial machine failure modes for at least one failure mode that corresponds to the user selection of the at least one representation of the component among the plurality of components;

displaying the at least one corresponding failure mode to the user via the expert graphical user interface;

presenting in the expert graphical user interface a list of reliability measures of an industrial machine;

facilitating a selection by a user of a reliability measure from the list of reliability measures via the expert graphical user interface;

presenting a representation of a smart band data collection template associated with the reliability measure selected by the user via the expert graphical user interface; and

in response to a user indication of acceptance of the smart band data collection template, configuring a data routing and collection system to collect data from a plurality of sensors in an industrial environment in response to a data value from one of the plurality of sensors being detected outside of an acceptable range of data values.

16. The method of claim 15 , further comprising:

searching a database of a plurality of conditions for one or more sensors of a list of sensors that correspond to at least one condition; and

indicating the corresponding one or more sensors in the expert graphical user interface.

17. The method of claim 15 , further comprising:

referencing and implementing a data collection template for configuring a data routing and collection system; and

configuring the data routing and collection system to automatically collect data from sensors associated with the selected at least one representation of the component to detect at least one of the corresponding failure modes.

18. The method of claim 15 , wherein the list of reliability measures comprises at least one of: industry average data, a manufacturer's specifications, a manufacturer's material specifications, or a manufacturer's recommendations; and

wherein the list of reliability measures correlates to at least one failure including at least one of: stress, vibration, heat, wear, ultrasonic signature, or operational deflection shape effect.

19. The method of claim 15 , further comprising correlating the plurality of sensors in the industrial environment to manufacturer's specifications.

20. The method of claim 19 , wherein the correlating of the plurality of sensors in the industrial environment comprises at least one of: matching a duty cycle specification to at least one sensor that detects revolutions of a moving part, or matching a temperature specification with a thermal sensor disposed to sense an ambient temperature proximal to the industrial machine.

21. The method of claim 19 , further comprising dynamically setting the acceptable range of data values based on a result of the correlating of the plurality of sensors in the industrial environment.

22. The method of claim 19 , further comprising automatically determining at least one of the plurality of sensors for detecting the data value outside of the acceptable range based on a result of correlating.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded May 16, 2025
From: CELLA, CHARLES HOWARD; DUFFY, GERALD WILLIAM, JR.; MCGUCKIN, JEFFREY P.; DESAI, MEHUL
To: STRONG FORCE IOT PORTFOLIO 2016, LLC
Reel/Frame 071139/0137 →
Continuity (15)
Continuation 17558811 · Dec 22, 2021
Division 16224727 · Dec 18, 2018
Continuation 16143286 · Sep 26, 2018
Continuation PCTUS2018045036 · Aug 2, 2018
Continuation 15973406 · May 7, 2018
Continuation In Part PCTUS2017031721 · May 9, 2017
Provisional Application 62583487 · Nov 8, 2017
Provisional Application 62562487 · Sep 24, 2017
Provisional Application 62540513 · Aug 2, 2017
Provisional Application 62540557 · Aug 2, 2017
Provisional Application 62427141 · Nov 28, 2016
Provisional Application 62412843 · Oct 26, 2016
Provisional Application 62350672 · Jun 15, 2016
Provisional Application 62333589 · May 9, 2016
Related Publication 20230297807A1 · Sep 21, 2023
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