Invention Grant
- Patent Title: Classification of piping and instrumental diagram information using machine-learning
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Application No.: US16376827Application Date: 2019-04-05
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Publication No.: US11195007B2Publication Date: 2021-12-07
- Inventor: Paul Duke , Shuxing Cheng
- Applicant: CHEVRON U.S.A. INC.
- Applicant Address: US CA San Ramon
- Assignee: CHEVRON U.S.A. INC.
- Current Assignee: CHEVRON U.S.A. INC.
- Current Assignee Address: US CA San Ramon
- Agency: Sheppard, Mullin, Richter & Hampton LLP
- Main IPC: G06K9/00
- IPC: G06K9/00 ; G06N3/08 ; G06N3/04 ; G06K9/62 ; G06N20/10 ; G06N5/00 ; G06N20/20

Abstract:
Systems and methods for identifying patterns of symbols in standardized system diagrams are disclosed. Disclosed implementations obtain or synthetically generate a symbol recognition training data set including multiple training images, generate a symbol recognition model based on the symbol recognition training data set, obtain an image comprising a pattern of symbols, group symbols into process loops based on the logical relationships captured by process loop identification algorithm, apply a character classification model to image contours to identify the characters and group characters into tags via hierarchical clustering, and store the identified tags, symbols and identified process loops in a relational database.
Public/Granted literature
- US20190236352A1 CLASSIFICATION OF PIPING AND INSTRUMENTAL DIAGRAM INFORMATION USING MACHINE-LEARNING Public/Granted day:2019-08-01
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