The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Apr. 21, 2025
Filed:
Apr. 09, 2024
Systems and methods for processing data collected in an industrial environment using neural networks
Applicant:
Strong Force Iot Portfolio 2016, Llc, Fort Lauderdale, FL (US);
Inventors:
Charles Howard Cella, Pembroke, MA (US);
Gerald William Duffy, Jr., Philadelphia, PA (US);
Jeffrey P. McGuckin, Philadelphia, PA (US);
Mehul Desai, Oak Brook, IL (US);
Assignee:
Strong Force IoT Portfolio 2016, LLC, Fort Lauderdale, FL (US);
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 3/00 (2022.12); B62D 15/02 (2005.12); G01M 13/028 (2018.12); G01M 13/04 (2018.12); G01M 13/045 (2018.12); G05B 13/02 (2005.12); G05B 19/418 (2005.12); G05B 23/02 (2005.12); G06F 18/21 (2022.12); G06N 3/006 (2022.12); G06N 3/02 (2005.12); G06N 3/044 (2022.12); G06N 3/045 (2022.12); G06N 3/047 (2022.12); G06N 3/084 (2022.12); G06N 3/088 (2022.12); G06N 5/046 (2022.12); G06N 7/01 (2022.12); G06N 20/00 (2018.12); G06Q 10/04 (2022.12); G06Q 10/0639 (2022.12); G06Q 30/02 (2022.12); G06Q 30/06 (2022.12); G06Q 50/00 (2011.12); G06V 10/778 (2021.12); G06V 10/82 (2021.12); G16Z 99/00 (2018.12); H02M 1/12 (2005.12); H03M 1/12 (2005.12); H04B 17/23 (2014.12); H04B 17/309 (2014.12); H04B 17/318 (2014.12); H04B 17/345 (2014.12); H04L 1/00 (2005.12); H04L 1/18 (2022.12); H04L 1/1867 (2022.12); H04L 67/1097 (2021.12); H04L 67/12 (2021.12); H04W 4/38 (2017.12); H04W 4/70 (2017.12); B62D 5/04 (2005.12); G05B 19/042 (2005.12); G06F 17/18 (2005.12); G06F 18/25 (2022.12); G06N 3/126 (2022.12); H01B 17/40 (2005.12); H04B 17/29 (2014.12); H04B 17/40 (2014.12); H04L 5/00 (2005.12); H04L 67/306 (2021.12);
U.S. Cl.
CPC ...
G06N 3/006 (2012.12); B62D 15/0215 (2012.12); G01M 13/028 (2012.12); G01M 13/04 (2012.12); G01M 13/045 (2012.12); G05B 13/028 (2012.12); G05B 19/4183 (2012.12); G05B 19/4184 (2012.12); G05B 19/41845 (2012.12); G05B 19/4185 (2012.12); G05B 19/41865 (2012.12); G05B 19/41875 (2012.12); G05B 23/0221 (2012.12); G05B 23/0229 (2012.12); G05B 23/024 (2012.12); G05B 23/0264 (2012.12); G05B 23/0283 (2012.12); G05B 23/0286 (2012.12); G05B 23/0289 (2012.12); G05B 23/0291 (2012.12); G05B 23/0294 (2012.12); G05B 23/0297 (2012.12); G06F 18/2178 (2022.12); G06N 3/02 (2012.12); G06N 3/044 (2022.12); G06N 3/045 (2022.12); G06N 3/047 (2022.12); G06N 3/084 (2012.12); G06N 3/088 (2012.12); G06N 5/046 (2012.12); G06N 7/01 (2022.12); G06N 20/00 (2018.12); G06Q 10/04 (2012.12); G06Q 10/0639 (2012.12); G06Q 30/02 (2012.12); G06Q 30/0278 (2012.12); G06Q 30/06 (2012.12); G06Q 50/00 (2012.12); G06V 10/7784 (2021.12); G06V 10/82 (2021.12); G16Z 99/00 (2019.01); H02M 1/12 (2012.12); H03M 1/12 (2012.12); H04B 17/23 (2015.01); H04B 17/309 (2015.01); H04B 17/318 (2015.01); H04B 17/345 (2015.01); H04L 1/0002 (2012.12); H04L 1/0041 (2012.12); H04L 1/18 (2012.12); H04L 1/1874 (2012.12); H04L 67/1097 (2012.12); H04L 67/12 (2012.12); H04W 4/38 (2018.01); H04W 4/70 (2018.01); B62D 5/0463 (2012.12); G05B 19/042 (2012.12); G05B 23/02 (2012.12); G05B 23/0208 (2012.12); G05B 2219/32287 (2012.12); G05B 2219/35001 (2012.12); G05B 2219/37337 (2012.12); G05B 2219/37351 (2012.12); G05B 2219/37434 (2012.12); G05B 2219/37537 (2012.12); G05B 2219/40115 (2012.12); G05B 2219/45004 (2012.12); G05B 2219/45129 (2012.12); G06F 17/18 (2012.12); G06F 18/21 (2022.12); G06F 18/217 (2022.12); G06F 18/25 (2022.12); G06N 3/126 (2012.12); H01B 17/40 (2012.12); H04B 17/29 (2015.01); H04B 17/40 (2015.01); H04L 1/0009 (2012.12); H04L 5/0064 (2012.12); H04L 67/306 (2012.12); Y02P 80/10 (2015.10); Y02P 90/02 (2015.10); Y02P 90/80 (2015.10); Y04S 50/00 (2012.12); Y04S 50/12 (2012.12); Y10S 707/99939 (2012.12);
Abstract
Methods and an expert system for processing a plurality of inputs collected from sensors in an industrial environment are disclosed. A modular neural network, where the expert system uses one type of neural network for recognizing a pattern relating to at least one of: the sensors, components of the industrial environment and a different neural network for self-organizing a data collection activity in the industrial environment is disclosed. A data communication network configured to communicate at least a portion of the plurality of inputs collected from the sensors to storage device is also disclosed.