公开(公告)号：US20220317675A1

公开(公告)日：2022-10-06

申请号：US17218661

申请日：2021-03-31

Applicant: Johnson Controls Technology Company

Inventor： Priti Shinde ,  Deepak Uppal

IPC: G05B23/02 ,  G06N20/00

Abstract: A building management system including one or more memory devices and one or more processors, the one or more memory devices configured to store instructions to be executed on the one or more processors, the processors configured to generate a first predictive model using a machine learning technique and an operating data set based on one or more operating parameters associated with at least one of a plurality of BMS subsystems. The processors are further configured to store the first predictive model at a first time interval, to receive a prediction request from a user input at a second time interval following the first time interval, and to retrieve the first predictive model. The one or more processors are further configured execute the retrieved predictive model to generate a first prediction in response to the prediction request; and initiate an automated control response based on the first prediction.

公开(公告)号：US12045048B2

公开(公告)日：2024-07-23

申请号：US17218661

申请日：2021-03-31

Applicant: Johnson Controls Technology Company

Inventor： Priti Shinde ,  Deepak Uppal

IPC: G05B23/02 ,  G06N20/00

CPC classification number: G05B23/0283 ,  G05B23/0216 ,  G05B23/024 ,  G06N20/00

Abstract: A building management system including one or more memory devices and one or more processors, the one or more memory devices configured to store instructions to be executed on the one or more processors, the processors configured to generate a first predictive model using a machine learning technique and an operating data set based on one or more operating parameters associated with at least one of a plurality of BMS subsystems. The processors are further configured to store the first predictive model at a first time interval, to receive a prediction request from a user input at a second time interval following the first time interval, and to retrieve the first predictive model. The one or more processors are further configured execute the retrieved predictive model to generate a first prediction in response to the prediction request; and initiate an automated control response based on the first prediction.