US 12,270,561 B2
Systems and methods for automated system identification
Matthew J. Ellis, Milwaukee, WI (US); Mohammad N. Elbsat, Milwaukee, WI (US); Anas W. I. Alanqar, Milwaukee, WI (US); Michael J. Wenzel, Grafton, WI (US); and John H. Burroughs, Wauwatosa, WI (US)
Assigned to Tyco Fire & Security GmbH, Neuhausen am Rheinfall (CH)
Filed by Johnson Controls Technology Company, Auburn Hills, MI (US)
Filed on Jul. 16, 2019, as Appl. No. 16/513,054.
Prior Publication US 2021/0018205 A1, Jan. 21, 2021
Int. Cl. G05B 13/04 (2006.01); F24F 11/47 (2018.01); F24F 11/54 (2018.01); F24F 11/64 (2018.01); F24F 11/65 (2018.01); G05B 13/02 (2006.01); G06F 17/18 (2006.01); G06Q 50/163 (2024.01); F24F 110/10 (2018.01); F24F 110/20 (2018.01); F24F 110/50 (2018.01); F24F 140/50 (2018.01)
CPC F24F 11/47 (2018.01) [F24F 11/54 (2018.01); F24F 11/64 (2018.01); F24F 11/65 (2018.01); G05B 13/02 (2013.01); G05B 13/04 (2013.01); G05B 13/048 (2013.01); G06F 17/18 (2013.01); G06Q 50/163 (2013.01); F24F 2110/10 (2018.01); F24F 2110/20 (2018.01); F24F 2110/50 (2018.01); F24F 2140/50 (2018.01)] 20 Claims
OG exemplary drawing
 
1. A controller for performing automated system identification, the controller comprising:
one or more processors; and
one or more non-transitory computer-readable media storing instructions that, when executed by the one or more processors, cause the one or more processors to perform operations comprising:
generating a predictive model to predict one or more system dynamics of a space of a building based on one or more environmental condition inputs;
performing a validation of the predictive model by assessing a variance of internal parameters of the predictive model or comparing the internal parameters of the predictive model to bounds for the internal parameters of the predictive model without requiring inputs to the predictive model or outputs of the predictive model to be used when performing the validation;
performing an optimization of a cost function of operating building equipment over a time duration to determine a setpoint for the building equipment, wherein the optimization is performed based on the predictive model; and
operating the building equipment based on the setpoint to affect a variable state or condition of the space.