US 12,405,582 B2
Predictive modeling and control system for building equipment with multi-device predictive model generation
Santle Camilus Kulandai Samy, Sunnyvale, CA (US); Michael J. Risbeck, Madison, WI (US); Young M. Lee, Old Westbury, NY (US); Chenlu Zhang, Milwaukee, WI (US); and Zhanhong Jiang, Milwaukee, WI (US)
Assigned to TYCO FIRE & SECURITY GMBH, Neuhausen am Rheinfall (CH)
Filed by Tyco Fire & Security GmbH, Neuhausen am Rheinfall (CH)
Filed on Mar. 31, 2022, as Appl. No. 17/710,443.
Prior Publication US 2023/0315031 A1, Oct. 5, 2023
Int. Cl. G05B 13/04 (2006.01); G05B 13/02 (2006.01)
CPC G05B 13/048 (2013.01) [G05B 13/027 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A system, comprising:
a first device of building equipment;
a plurality of additional devices of building equipment; and
a computing system programmed to:
assess whether a data set from the first device is sufficient to train a fault prediction model for the first device;
in response to a determination that the data set from the first device is sufficient to train the fault prediction model for the first device, train the fault prediction model for the first device using the data set from the first device;
in response to a determination that the data set from the first device is insufficient to train the fault prediction model for the first device:
generate a ranking of the plurality of additional devices based on similarities between the first device and the plurality of additional devices;
augment the data set with supplemental data from one or more of the plurality of additional devices to obtain an augmented data set, the supplemental data obtained from each subsequent device of the plurality of additional devices in an order based on the ranking until the augmented data set is sufficient to train the fault prediction model; and
train the fault prediction model for the first device using the augmented data set; and
influence operations of the first device using the fault prediction model.