Abstract

The online measurement of molten iron temperature in blast furnace ironmaking process is an urgent need in the ironmaking industry, but under the influence of factors such as overflowing slag and dust, the online measurement of molten iron temperature based on infrared temperature measurement faces the problem of low measurement accuracy. Aiming at the interference of overflowing slag and dust, this paper proposes a method for online measurement of molten iron temperature after skimmer based on infrared vision. Firstly, an industrial-grade infrared visual temperature measurement system is designed to obtain infrared images of molten iron for a long time and stably after skimmer. Secondly, ShuffleNet v2 is used to identify the slag and dust interference states of molten iron after skimmer, and then the molten iron temperature mapping model during slag overflowing and the molten iron temperature compensation model during dust disturbance are established. Finally, the online accurate molten iron temperature (MIT) after skimmer is obtained. The temperature measurement experiment on the blast furnace site shows that the method can accurately obtain the MIT after skimmer online.

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