US 12,013,673 B2
Building control system using reinforcement learning
Michael M. Huber, Hartland, WI (US); Gerald A. Asp, Milwaukee, WI (US); Daniel A. Mellenthin, West Allis, WI (US); and Jeffrey J. G. Senzig, Franklin, WI (US)
Assigned to Tyco Fire & Security GmbH, Neuhausen am Rheinfall (CH)
Filed by Johnson Controls Tyco IP Holdings LLP, Milwaukee, WI (US)
Filed on Nov. 29, 2021, as Appl. No. 17/537,179.
Prior Publication US 2023/0168649 A1, Jun. 1, 2023
Int. Cl. G05B 19/042 (2006.01); G06N 3/08 (2023.01); G06N 5/022 (2023.01)
CPC G05B 19/042 (2013.01) [G06N 3/08 (2013.01); G06N 5/022 (2013.01); G05B 2219/25011 (2013.01)] 16 Claims
OG exemplary drawing
 
1. A building management system, comprising:
one or more memory devices configured to store instructions thereon that, when executed by one or more processors, cause the one or more processors to:
access a library of neural network models associated with a plurality of different business vertical categories;
retrieve a first neural network model from the library based on a first business vertical category associated with the building management system, wherein the first neural network model is trained on building operation data of a previous time period, wherein the building operation data of the previous time period is associated with the first business vertical category;
generate, using the first neural network model, a control decision for equipment operated by the building management system; and
control the equipment to affect a physical condition of a building in accordance with the control decision.