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:
Jun. 04, 2019

Filed:

Jun. 27, 2016
Applicant:

Honeywell International Inc., Morris Plains, NJ (US);

Inventors:

Amit Srivastav, Bangalore, IN;

Krishna Idupunur, Hyderabad, IN;

Sibu Parakkattu Narayanan, Bangalore, IN;

Anantha Chandrasekhar Koduru, Secunderabad, IN;

Shafi Merchant, Bangalore, IN;

Assignee:

HONEYWELL INTERNATIONAL INC., Morris Plains, NJ (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G08G 5/00 (2006.01); G06Q 30/02 (2012.01); G01S 13/95 (2006.01); G01W 1/02 (2006.01); G01W 1/00 (2006.01);
U.S. Cl.
CPC ...
G08G 5/0091 (2013.01); G01S 13/953 (2013.01); G06Q 30/0283 (2013.01); G08G 5/0013 (2013.01); G08G 5/0021 (2013.01); G08G 5/0026 (2013.01); G01W 1/02 (2013.01); G01W 2001/006 (2013.01); G01W 2203/00 (2013.01); Y02A 90/14 (2018.01); Y02A 90/18 (2018.01);
Abstract

A system for data aggregation and distribution comprises a context builder that receives a data request from a consumer, and a producers locator that communicates with producers. A producers filter receives a list of producers and selects producers capable of providing data relevant to context information. A data requests formatter receives the context information, and sends the data request to the selected producers. A data responses validator validates data responses from producers, and a data responses processor processes validated data responses. A data predictor receives processed data responses and context information, and generates data prediction information. A data fusion module receives processed data responses, context information, data prediction information, and data history. The data fusion module combines processed data responses with data prediction information to generate a consolidated data response for the consumer. The data fusion module also considers data prediction information upon receiving a request for predicted data when real-time data is unavailable.


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