High-precision identification method and system for substations
US11881015B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 8, 2020 |
| Grant date | Jan 23, 2024 |
| Priority date | — |
| Expiry date | May 27, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/20084
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The present invention provides a high-precision identification method and system for substations, including building a Mask RCNN objection recognition network model based on convolutional neural networks; inputting acquired image information of a object into the Mask RCNN object recognition network model for preliminary recognition and outputting a recognition result of the object; using an information entropy to create a semantic decision tree and correcting the recognition result of the object according to a principle of relative correlation between different objects and outputting a final recognition decision result; reading the recognition decision result to obtain a true type of the object to be recognized. The present invention greatly improves the accuracy of image recognition of substations, and has a positive role in the research and development of automatic inspection equipment for inspection robots.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.