公开(公告)号：US20240068692A1

公开(公告)日：2024-02-29

申请号：US17900141

申请日：2022-08-31

Applicant: Johnson Controls Tyco IP Holdings LLP

Inventor： Matthias Walczyk ,  Andrew S. Pike

IPC: F24F11/63 ,  F24F11/80 ,  F24F13/10 ,  G05B13/02

CPC classification number: F24F11/63 ,  F24F11/80 ,  F24F13/10 ,  G05B13/0265 ,  F24F2110/10

Abstract: A method includes generating a mixed air temperature value using a reinforcement learning model running on the edge controller. A temperature setpoint and a weather forecast are inputs to the reinforcement learning model. The method also includes controlling damper positions of an air handling unit to achieve the mixed air temperature value.

公开(公告)号：US20220244682A1

公开(公告)日：2022-08-04

申请号：US17726433

申请日：2022-04-21

Applicant: Johnson Controls Tyco IP Holdings LLP

Inventor： Matthias Walczyk ,  Andrew S. Pike ,  John M. Sullivan ,  Kelsey C. Schuster ,  Christopher J. Verink

IPC: G05B13/02 ,  G06F17/14

Abstract: A system includes a plurality of vibration sensors configured to be coupled to a unit of building equipment, an edge device arranged between the plurality of vibration sensors and a communications network. The edge device is programmed to detect an abnormality in vibration data from the plurality of vibration sensors by ingesting streams of vibration data from the plurality of vibration sensors, performing signal processing on the streams of vibration data to obtain inputs for a machine learning model, determining whether the abnormality is occurring by applying the inputs to the machine learning model, determining a trend associated with the abnormality based on outputs of the machine learning model, and causing a portion of the vibration data to be communicated to a first computing system via the communications network in response to the trend satisfying a criterion.