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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.:

US 11080289 B1

PDFFull Text
Date of Patent:
Aug. 03, 2021

Filed:

Oct. 05, 2018

Building management system with timeseries processing

Applicant:

Johnson Controls Technology Company, Auburn Hills, MI (US);

Inventors:

Youngchoon Park, Brookfield, WI (US);

Sudhi R. Sinha, Milwaukee, WI (US);

Vijaya S. Chennupati, Brookfield, WI (US);

Vaidhyanathan Venkiteswaran, Brookfield, WI (US);

Sajjad Pourmohammad, Milwaukee, WI (US);

Erik S. Paulson, Madison, WI (US);

Ada L. Ma, Kenmore, WA (US);

Gerald A. Asp, Milwaukee, WI (US);

Assignee:

Johnson Controls Tyco IP Holdings LLP, Milwaukee, WI (US);

Attorney:

Foley & Lardner LLP

Primary Examiner:

Jau Shya Meng

Int. Cl.
CPC ...
G06F 16/20 (2019.01); G06F 16/2458 (2019.01); G06F 16/22 (2019.01); G06F 16/901 (2019.01); G05D 23/19 (2006.01); G05B 15/02 (2006.01); G06F 16/23 (2019.01);
U.S. Cl.
CPC ...
G06F 16/2477 (2019.01); G05B 15/02 (2013.01); G05D 23/1931 (2013.01); G06F 16/22 (2019.01); G06F 16/9024 (2019.01); G05B 2219/2614 (2013.01); G05B 2219/2642 (2013.01); G05D 23/1917 (2013.01); G06F 16/2322 (2019.01);
Abstract

A building management system (BMS) includes building equipment configured to provide raw data samples of data points in the BMS, a data collector configured to generate raw data timeseries including raw data samples from the building equipment, and a timeseries processing engine. The timeseries processing engine is configured to identify an initial timeseries processing workflow that applies to the raw data timeseries, identify other data timeseries required as inputs to the initial timeseries processing workflow, and generate an enriched timeseries processing workflow that includes the initial timeseries processing workflow, the raw data timeseries, and the other data timeseries. The timeseries processing engine is configured to execute the enriched timeseries processing workflow to generate a derived data timeseries. The BMS further includes a timeseries storage interface configured to store the raw data timeseries and the derived data timeseries in a timeseries database.

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