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:
Sep. 17, 2024

Filed:

Mar. 23, 2020
Applicant:

Centrica Plc, Windsor, GB;

Inventors:

Giuseppe Vettigli, Windsor, GB;

Miroslav Hamouz, Windsor, GB;

Assignee:

Centrica PLC, Windsor, GB;

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
F24F 11/64 (2018.01); F24F 11/38 (2018.01); F24F 11/46 (2018.01); F24F 11/58 (2018.01); G05B 13/02 (2006.01); G05B 13/04 (2006.01); G06F 16/28 (2019.01);
U.S. Cl.
CPC ...
F24F 11/64 (2018.01); F24F 11/38 (2018.01); F24F 11/46 (2018.01); F24F 11/58 (2018.01); G05B 13/0265 (2013.01); G05B 13/042 (2013.01); G06F 16/285 (2019.01);
Abstract

Methods and devices for detecting inefficiencies in environmental control systems and for building a model for detecting the same. The model building method may comprise: receiving training data sets for one or more environmental control systems, identifying a category for each training data set indicative of the efficiency of the environmental control system over the training time period, computing one or more numerical features for each training data set based on setpoint data and sensor data, determining a measure of dependence between the identified category and the computed one or more numerical features, and creating a model based on the determined measure of dependence. The detection method may involve receiving a monitored data set, computing numerical features for the monitored data, and assigning a category indicative of the efficiency of a monitored environmental control system based on the model and the numerical features.


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