公开(公告)号：US11120411B2

公开(公告)日：2021-09-14

申请号：US16449198

申请日：2019-06-21

Applicant: Johnson Controls Technology Company

Inventor： Robert D. Turney ,  Sudhi R. Sinha ,  Masayuki Nonaka ,  Zhizhong Pang ,  Yoshiko Watanabe ,  Mohammad N. Elbsat ,  Michael J. Wenzel

IPC: G06Q10/00 ,  G05B13/04 ,  G06Q10/06

Abstract: A model predictive maintenance system for building equipment including an equipment controller to operate the building equipment to affect a variable state or condition in a building. The system includes an operational cost predictor to predict a cost of operating the building equipment over a duration of an optimization period, a maintenance cost predictor to predict a cost of performing maintenance on the building equipment, and a cost incentive manager to determine whether any cost incentives are available and, in response to a determination that cost incentives are available, identify the cost incentives. The system includes an objective function optimizer to optimize an objective function to predict a total cost associated with the building equipment over the duration of the optimization period. The objective function includes the predicted cost of operating the building equipment, the predicted cost of performing maintenance on the building equipment, and, if available, the cost incentives.

公开(公告)号：US11281173B2

公开(公告)日：2022-03-22

申请号：US16703514

申请日：2019-12-04

Applicant: Johnson Controls Technology Company

Inventor： Robert D. Turney ,  Michael J. Wenzel ,  Mohammad N. Elbsat ,  Liming Yang ,  Matthew J. Ellis ,  Masayuki Nonaka

IPC: G05B19/042

Abstract: An environmental control system of a building including a first building device operable to affect environmental conditions of a zone of the building by providing a first input to the zone. The system includes a second building device operable to independently affect a subset of the environmental conditions by providing a second input to the zone and further includes a controller including a processing circuit. The processing circuit is configured to perform an optimization to generate control decisions for the building devices. The optimization is performed subject to constraints for the environmental conditions and uses a predictive model that predicts an effect of the control decisions on the environmental conditions. The processing circuit is configured to operate the building devices in accordance with the control decisions.