| Autor: |
Cheng Xin, Chu Xueru, Deng Xuhui, Yang Kai, Tan Linlin, Chen Zhong, Cao Weiguo |
| Předmět: |
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| Zdroj: |
Journal of Southeast University / Dongnan Daxue Xuebao; Nov2022, Vol. 52 Issue 6, p1137-1144, 8p |
| Abstrakt: |
To solve the problems of low detection precision of high-resolution large-size electrical plant station wiring diagram symbols and small target graphic symbols missing detection and false detection, a method for detecting plant station wiring diagram symbols based on double layer-block network is proposed. After cutting the electrical plant station wiring diagram according to the electrical logic, 11 typical graphic symbols such as circuit breakers, isolating switches and reactors are identified. The double layer-block network consists of a key region detection layer based on Area-YOLOv5 network and a specific symbol recognition layer based on Obj-YOLOv5 network. First, the Area-YOLOv5 network is used to detect the key area blocks of the drawings with a key area detection accuracy of 98.5%. Secondly, the Obj-YOLOv5 network is used to identify the specific symbols. The network uses the lightweight CPU block (LC_Block), which combines the squeeze-and-excitation (SE) attention mechanism with the depthwise separable convolution to replace the ordinary convolution layer in the Neck. The detection accuracy of diagram symbols is 0.963. The proposed method realizes the identification of the electrical plant station wiring diagram with high precision. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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