US 11,739,963 B2
HVAC analytics
Robert Nathan Picardi, Herndon, VA (US); Peter Richard Williams, Falls Church, VA (US); Zachary William Seid, Arlington, VA (US); Kyle Rankin Johnson, Falls Church, VA (US); Daniel Marc Goodman, Needham, MA (US); Craig Carl Heffernan, Oregon City, OR (US); Caspar John Anderegg, Centennial, CO (US); Harrison Wayne Donahue, Attleboro, MA (US); and Gustaf Nicolaus Maxwell Lonaeus, Washington, DC (US)
Assigned to Alarm.com Incorporated, Tysons, VA (US)
Filed by Alarm.com Incorporated, Tysons, VA (US)
Filed on Nov. 18, 2020, as Appl. No. 16/951,413.
Application 16/951,413 is a continuation of application No. 16/022,381, filed on Jun. 28, 2018, granted, now 10,845,079.
Claims priority of provisional application 62/526,126, filed on Jun. 28, 2017.
Prior Publication US 2021/0071889 A1, Mar. 11, 2021
Int. Cl. F24F 11/38 (2018.01); F24F 11/49 (2018.01); F24F 11/58 (2018.01); F24F 11/63 (2018.01); G06N 20/00 (2019.01)
CPC F24F 11/38 (2018.01) [F24F 11/49 (2018.01); F24F 11/58 (2018.01); F24F 11/63 (2018.01); G06N 20/00 (2019.01)] 18 Claims
OG exemplary drawing
 
1. A monitoring system comprising:
at least one processor; and
at least one computer-readable storage medium coupled to the at least one processor having stored thereon instructions which, when executed by the at least one processor, causes the at least one processor to perform operations comprising:
obtaining data from a plurality of HVAC systems that have broken components;
grouping the data from the plurality of HVAC systems that have broken components into groups that each include HVAC systems from the plurality of HVAC systems with performance metrics with similar performance related to a time to heat or cool a property;
providing the grouped data indicative of the HVAC systems with issues to a machine learning process for training;
generating a model from the trained machine learning process that is configured to detect issues with operating HVAC systems; and
storing the model generated from the trained machine learning process for use analyzing data from an operating HVAC system and performing an operation to correct an issue related to a particular HVAC system from the operating HVAC systems in response to detecting the issue with the particular HVAC system using the model.