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.

Date of Patent:
Dec. 11, 2018

Filed:

Mar. 10, 2015
Applicant:

Silver Spring Networks, Inc., Redwood City, CA (US);

Inventors:

Charles P. Sum, Cupertino, CA (US);

George H. Flammer, III, Cupertino, CA (US);

Assignee:

ITRON NETWORKED SOLUTIONS, INC., Liberty Lake, WA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G01R 25/00 (2006.01); H02J 3/00 (2006.01); G01R 21/00 (2006.01); H02J 3/24 (2006.01); H04L 29/08 (2006.01); H04L 29/06 (2006.01); H04L 12/24 (2006.01); H02J 13/00 (2006.01); H04L 12/26 (2006.01); H02J 3/06 (2006.01);
U.S. Cl.
CPC ...
G01R 25/00 (2013.01); G01R 21/00 (2013.01); H02J 3/00 (2013.01); H02J 3/24 (2013.01); H02J 13/0075 (2013.01); H04L 41/12 (2013.01); H04L 67/125 (2013.01); H04L 67/16 (2013.01); H04L 69/28 (2013.01); H02J 3/06 (2013.01); H02J 2003/007 (2013.01); H04L 43/04 (2013.01); Y02E 60/76 (2013.01); Y02E 60/7853 (2013.01); Y04S 40/126 (2013.01); Y04S 40/164 (2013.01); Y04S 40/168 (2013.01); Y04S 40/22 (2013.01);
Abstract

Nodes within a wireless mesh network are configured to monitor time series data associated with a utility network (or any other device network). One or more servers coupled to the wireless mesh network configures a data ingestion cloud to receive and process the time series data from the nodes to generate data streams. The server(s) also configure a distributed processing cloud to perform historical analysis on data streams, and a real-time processing cloud to perform real-time analysis on data streams. The distributed processing cloud and the real-time processing cloud may interoperate with one another in response to processing the data streams. Specifically, the real-time processing cloud may trigger a historical analysis on the distributed processing cloud, and the distributed processing cloud may trigger real-time processing on the real-time processing cloud. Any of the processing clouds may encompass edge nodes configured to perform real-time processing and generate data streams.


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