Patent · US Active

Machine learning analysis of piping and instrumentation diagrams

US10635945B2 · kind B2 · utility

0Cited by

0References

14Claims

0Family size

Assignee

SCHNEIDER ELECTRIC SYSTEMS USA, INC. · US

Inventors

Bhaskar Sinha · Hyderabad, IN
Ashish Patil · Pune, IN
Amitabha Bhattacharyya · Hyderabad, IN
Venkatesh Jagannath · Quincy, US
Sameer Kondejkar · Ashti, IN

Key dates

Filing date	Jun 28, 2018
Grant date	Apr 28, 2020
Priority date	—
Expiry date	Dec 12, 2038

Classification

Technology area (CPC G)Physics
CPC primaryG06V30/422
WIPO fieldComputer technology
WIPO sectorElectrical engineering

Abstract

Automated evaluation and extraction of information from piping and instrumentation diagrams (P&IDs). Aspects of the systems and methods utilize machine learning and image processing techniques to extract relevant information, such as tag names, tag numbers, and symbols, and their positions, from P&IDs. Further aspects feed errors back to a machine learning system to update its learning and improve operation of the systems and methods.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.