公开(公告)号：US20210116874A1

公开(公告)日：2021-04-22

申请号：US16657398

申请日：2019-10-18

Applicant: Johnson Controls Technology Company

Inventor： Sugumar Murugesan ,  Young M. Lee ,  Jaume Amores Llopis

IPC: G05B13/04 ,  G06Q50/06 ,  G01D4/00

Abstract: A building management system including building equipment operable to affect a variable state or condition of a building. The building management system includes a controller including a processing circuit. The processing circuit is configured to obtain an energy prediction model (EPM) for predicting energy requirements over time. The processing circuit is configured to monitor one or more triggering events to determine if the EPM should be retrained. The processing circuit is configured to, in response to detecting that a triggering event has occurred, identify updated values of one or more hyper-parameters of the EPM. The processing circuit is configured to operate the building equipment based on the EPM.

公开(公告)号：US10852023B2

公开(公告)日：2020-12-01

申请号：US15980547

申请日：2018-05-15

Applicant: Johnson Controls Technology Company

Inventor： Viswanath Ramamurti ,  Young M. Lee ,  Youngchoon Park ,  Sugumar Murugesan

IPC: F24F11/50 ,  F24F11/65 ,  G05B13/02 ,  F24F120/20 ,  F24F120/12

Abstract: A building management system includes one or more processors, and one or more computer-readable storage media communicably coupled to the one or more processors and having instructions stored thereon that cause the one or more processors to: define a state of a zone or space within a building; control an HVAC system to adjust a temperature of the zone or space corresponding to a first action; receive utterance data from a voice assist device located in the zone or space; analyze the utterance data to identify a sentiment relating to the temperature of the zone or space; calculate a reward based on the state, the first action, and the sentiment; determine a second action to adjust the temperature of the zone or space based on the reward; and control the HVAC system to adjust the temperature of the zone or space corresponding to the second action.

公开(公告)号：US20200082206A1

公开(公告)日：2020-03-12

申请号：US16125994

申请日：2018-09-10

Applicant: Johnson Controls Technology Company

Inventor： ZhongYi Jin ,  Young M. Lee ,  Youngchoon Park

IPC: G06K9/62 ,  G06N3/08

Abstract: A method for classifying an occluded object includes receiving, by one or more processing circuits, an image of the object that is partially occluded by a foreign object and classifying, by the one or more processing circuits, the object of the image into one of one or more classes of interest via an artificial neural network (ANN) by determining a plurality of neuron activations of neurons of the ANN for one or more foreign classes and the one or more classes of interest, subtracting one or more of the neuron activations of the one or more foreign classes from the neuron activations of the one or more classes of interest, wherein the foreign object belongs to one of the one or more foreign classes, and classifying the object of the image into the one of the one or more classes of interest based on the subtracting.

公开(公告)号：US20190384239A1

公开(公告)日：2019-12-19

申请号：US16198416

申请日：2018-11-21

Applicant: Johnson Controls Technology Company

Inventor： Sugumar Murugesan ,  Young M. Lee ,  ZhongYi Jin ,  Jaume Amores

IPC: G05B13/04 ,  G05B13/02 ,  F24F11/38

Abstract: A model management system for a building, including one or more memory devices and one or more processors. The one or more memory devices are configured to store instructions to be executed on the one or more processors. The one or more processors are configured to determine whether chiller fault data exists in chiller data used to generate a plurality of chiller shutdown prediction models. The one or more processors are further configured to generate a first performance evaluation value for each of the plurality of chiller shutdown prediction models using a first evaluation technique in response to a determination that chiller fault data exists in the chiller data, and generate a second performance evaluation value for each of the plurality of chiller shutdown prediction models using a second evaluation technique in response to a determination that chiller fault data does not exist in the chiller data. The one or more processors are configured to select one of the plurality of chiller shutdown prediction models based on the first performance evaluation in response to the determination that chiller fault data exists in the chiller data, and select one of the plurality of chiller shutdown prediction models based on the second performance evaluation in response to the determination that chiller fault data does not exist in the chiller data.