公开(公告)号：US20230393539A1

公开(公告)日：2023-12-07

申请号：US18204631

申请日：2023-06-01

Applicant: Johnson Controls Tyco IP Holdings LLP

Inventor： Surajit Borah ,  Santle Camilus ,  ZhongYi Jin ,  Vish Ramamurti ,  Young M. Lee

IPC: G05B13/02 ,  G05B13/04 ,  G06F40/30 ,  G06N3/049

CPC classification number: G05B13/027 ,  G05B13/04 ,  G06F40/30 ,  G06N3/049

Abstract: A building system including one or more memory devices configured to store instructions that, when executed by one or more processors, cause the one or more processors to receive training data including acronym strings and tag strings, train a sequence to sequence neural network based on the training data, receive an acronym string for labeling, the acronym string comprising a particular plurality of acronyms, and generate a tag string for the acronym string with the sequence to sequence neural network, wherein the sequence to sequence neural network outputs a tag of the tag string for one acronym of the particular plurality of acronyms based on the one acronym and contextual information of the acronym string, wherein the contextual information includes other acronyms of the particular plurality of acronyms.

公开(公告)号：US11783203B2

公开(公告)日：2023-10-10

申请号：US17946371

申请日：2022-09-16

Applicant: Johnson Controls Tyco IP Holdings LLP

Inventor： Santle Camilus ,  Manjuprakash R. Rao

IPC: G05B19/042 ,  G06N20/00 ,  G06N5/02 ,  G06F9/451 ,  G06F3/0482 ,  G06F30/13

CPC classification number: G06N5/02 ,  G05B19/042 ,  G06F3/0482 ,  G06F9/451 ,  G06F30/13 ,  G06N20/00 ,  G05B2219/2639

Abstract: A system for controlling heating, ventilation, or air conditioning (HVAC) equipment of a building includes one or more processing circuits configured to generate simulated building data using a simulation model of the building, pre-train a reinforcement learning (RL) model using the simulated building data, operate the HVAC equipment of the building using the RL model, and retrain the RL model using actual building data generated responsive to operating the HVAC equipment using the RL model.

公开(公告)号：US11693374B2

公开(公告)日：2023-07-04

申请号：US16885968

申请日：2020-05-28

Applicant: Johnson Controls Tyco IP Holdings LLP

Inventor： Surajit Borah ,  Santle Camilus ,  ZhongYi Jin ,  Vish Ramamurti ,  Young M. Lee

IPC: G06F40/30 ,  G05B13/02 ,  G05B13/04 ,  G06N3/049

CPC classification number: G05B13/027 ,  G05B13/04 ,  G06F40/30 ,  G06N3/049

Abstract: A building system including one or more memory devices configured to store instructions that, when executed by one or more processors, cause the one or more processors to receive training data including acronym strings and tag strings, train a sequence to sequence neural network based on the training data, receive an acronym string for labeling, the acronym string comprising a particular plurality of acronyms, and generate a tag string for the acronym string with the sequence to sequence neural network, wherein the sequence to sequence neural network outputs a tag of the tag string for one acronym of the particular plurality of acronyms based on the one acronym and contextual information of the acronym string, wherein the contextual information includes other acronyms of the particular plurality of acronyms.

公开(公告)号：US20230019836A1

公开(公告)日：2023-01-19

申请号：US17946371

申请日：2022-09-16

Applicant: Johnson Controls Tyco IP Holdings LLP

Inventor： Santle Camilus ,  Manjuprakash R. Rao

IPC: G06N5/02 ,  G06F9/451 ,  G05B19/042 ,  G06F3/0482 ,  G06N20/00 ,  G06F30/13

Abstract: A system for controlling heating, ventilation, or air conditioning (HVAC) equipment of a building includes one or more processing circuits configured to generate simulated building data using a simulation model of the building, pre-train a reinforcement learning (RL) model using the simulated building data, operate the HVAC equipment of the building using the RL model, and retrain the RL model using actual building data generated responsive to operating the HVAC equipment using the RL model.