公开(公告)号：US20210373510A1

公开(公告)日：2021-12-02

申请号：US16885968

申请日：2020-05-28

Applicant: Johnson Controls Technology Company

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

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

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：US20210373509A1

公开(公告)日：2021-12-02

申请号：US16885959

申请日：2020-05-28

Applicant: Johnson Controls Technology Company

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

IPC: G05B13/02 ,  G05B13/04 ,  G06F40/30 ,  G06N7/00

Abstract: A building system including one or more memory devices configured to store instructions thereon 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 statistical model 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 statistical model, wherein the statistical model 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, wherein the statistical model implements a many to many mapping between the particular plurality of acronyms and a plurality of target tags.