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:
Nov. 21, 2023

Filed:

Nov. 24, 2020
Applicant:

Hussmann Corporation, Bridgeton, MO (US);

Inventors:

Michael Seals, Bridgeton, MO (US);

Ramakrishna Krishnaswamy, St. Charles, MO (US);

Norman Street, O'Fallon, MO (US);

Daniel Schnur, Florissant, MO (US);

Assignee:

Hussmann Corporation, Bridgeton, MO (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06Q 10/00 (2023.01); G06Q 10/087 (2023.01); G06Q 10/20 (2023.01); H04W 4/35 (2018.01); A47F 3/04 (2006.01); G06Q 50/10 (2012.01);
U.S. Cl.
CPC ...
G06Q 10/087 (2013.01); A47F 3/0434 (2013.01); G06Q 10/20 (2013.01); H04W 4/35 (2018.02); G06Q 50/10 (2013.01);
Abstract

An equipment monitoring system for a merchandiser. The system includes a control system that defines a data acquisition node, a server that is in remote communication with the control system via a network providing a communication bridge between the data acquisition node and the server, and that includes a database and one or more applications having executable processing instructions, and equipment monitoring sensors that are coupled to one or more components of the merchandiser to obtain status data regarding the status of the one or more components. The equipment monitoring sensors are in communication with the data acquisition node to communicate the status data to the server. The application(s) execute processing instructions that conduct program analysis for the one or more components using the status data based on information associated with the merchandiser to determine a predictive component failure associated with the one or more components.


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