US 11,681,345 B2
Powered device electrical data modeling and intelligence
Samuel M. Parks, Philadelphia, PA (US); and Derek Horkel, Oreland, PA (US)
Assigned to Sapient Industries, Inc., Philadelphia, PA (US)
Filed by Sapient Industries, Inc., Philadelphia, PA (US)
Filed on Jul. 12, 2021, as Appl. No. 17/372,789.
Claims priority of provisional application 63/050,276, filed on Jul. 10, 2020.
Prior Publication US 2022/0011840 A1, Jan. 13, 2022
Int. Cl. G06F 1/00 (2006.01); G06F 1/28 (2006.01); G06F 1/3287 (2019.01); G06F 1/3206 (2019.01)
CPC G06F 1/28 (2013.01) [G06F 1/3206 (2013.01); G06F 1/3287 (2013.01)] 18 Claims
OG exemplary drawing
 
1. A method, comprising:
receiving, at a web application and over a period of time, electrical data collected for a powered device at a first time, wherein the electrical data are received from a network-enabled electric plug;
determining common values of the electrical data collected for the powered device;
identifying a first cluster representing a lowest value of the common values of the electrical data, wherein the first cluster corresponds to a first operational state of the powered device, wherein the first cluster is identified using a first subset of the electrical data;
identifying a second cluster representing another value of the common values of the electrical data, wherein the second cluster corresponds to a second operational state of the powered device, wherein the second cluster is identified using a second subset of the electrical data;
determining usage metrics representing usage activity of the powered device based on the first cluster and the second cluster;
determining, based on the usage metrics, a command for selectively controlling delivery of electricity to the powered device;
transmitting the command to the network-enabled electric plug;
populating a truth table with information indicating the common values of the electrical data collected for the powered device associated with the first cluster and the second cluster; and
processing second electrical data based on the usage metrics to infer an operational state of the powered device at a second time after the first time,
wherein the second electrical data is processed based on the usage metrics to infer the operational state of the powered device at the second time by comparing values of the second electrical data against the information within the truth table.