Application of Efficient Channel Attention Residual Mechanism in Blast Furnace Tuyere Image Anomaly Detection

Application of Efficient Channel Attention Residual Mechanism in Blast Furnace Tuyere Image Anomaly Detection

In the steelmaking industry, the state of the blast furnace tuyere is an important basis for obtaining the internal information of the blast furnace. Traditional detections mainly rely on manual experience judgment, which is a time-consuming and tiring procedure for a human. In order to improve the...

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Bibliographic Details
Main Authors: Rihong Wang, Ziyu Li, Lingzhi Yang, Yuming Li, Hao Zhang, Chuanwang Song, Mingjian Jiang, Xiaoyun Ye, Keyong Hu
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:Applied Sciences
Subjects:
blast furnace tuyere
residual network
attention mechanism
tuyere image
image recognition
Online Access:https://www.mdpi.com/2076-3417/12/15/7823

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