US 11,942,783 B1
System and method for distributed, secure, power grid data collection, consensual voting analysis, and situational awareness and anomaly detection
Scott L. Caruso, Arvada, CO (US); Jason W. Rupe, Lafayette, CO (US); Robert F. Cruickshank, III, Louisville, CO (US); Daniel Stoller, Louisville, CO (US); and Hunter Albright, Louisville, CO (US)
Assigned to Cable Television Laboratories, Inc., Louisville, CO (US)
Filed by Cable Television Laboratories, Inc., Louisville, CO (US)
Filed on Aug. 29, 2021, as Appl. No. 17/460,275.
Application 17/460,275 is a division of application No. 16/513,676, filed on Jul. 16, 2019, granted, now 11,108,268.
Claims priority of provisional application 62/789,396, filed on Jan. 7, 2019.
Claims priority of provisional application 62/698,694, filed on Jul. 16, 2018.
Int. Cl. H04Q 9/00 (2006.01); G01R 19/25 (2006.01); H02J 3/00 (2006.01); H02J 9/06 (2006.01); H02J 13/00 (2006.01)
CPC H02J 13/00007 (2020.01) [G01R 19/2513 (2013.01); H02J 3/00 (2013.01); H02J 9/06 (2013.01); H04Q 9/00 (2013.01); H04Q 2209/10 (2013.01); H04Q 2209/30 (2013.01)] 21 Claims
OG exemplary drawing
 
1. A method for determining consensus among a plurality of sensors over geographic areas and time intervals, the method comprising:
collecting sensor readings from a plurality of sensors in a sensor cluster;
for each sensor of the plurality of sensors, ranking a sensor reading from the sensor by assigning each class of a plurality of classes of the sensor reading from the sensor a respective rank value, the plurality of classes of the sensor reading representing different respective possible values of the sensor reading;
assigning a respective label to each sensor at least partially based on the respective ranking of the sensor reading from the sensor; and
ranking labels for the plurality of sensors to retrieve a consensus-based cluster reading.