Polymorphic Measurement Method of FeO Content of Sinter Based on Heterogeneous Features of Infrared Thermal Images
| Autor: | Dong Pan, Weihua Gui, Zhaohui Jiang, Xavier Maldague, Guo Yuhao |
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| Rok vydání: | 2021 |
| Předmět: | |
| Zdroj: | IEEE Sensors Journal. 21:12036-12047 |
| ISSN: | 2379-9153 1530-437X |
| DOI: | 10.1109/jsen.2021.3065942 |
| Popis: | FeO content of sinter is an important indicator of the quality of sinter. Aiming to overcome the difficulty of detecting the FeO content of sinter in the sintering process in real-time, this paper proposes a polymorphic measurement method for sinter FeO content based on heterogeneous features of infrared thermal images. First, an infrared thermal imager is applied to capture the infrared thermal images of sinter cross section at the tail of the sintering machine, and key frame and region of interest extraction are adopted to reduce the data throughput. Then, the shallow features and deep features that are related to the FeO content are extracted based on the regions of interest. Next, a polymorphic mechanism model is established to obtain the preliminary FeO content, and the sinter quality is divided into three grades according to the preliminary FeO content. Finally, three intelligent models corresponding to the three sinter grades are established to achieve the FeO content prediction based on the extracted heterogeneous features. Results in a sintering plant show that the proposed method can measure the FeO content accurately and provide reliable FeO content data for sintering site. |
| Databáze: | OpenAIRE |
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