Abnormality monitoring in the blast furnace ironmaking process based on stacked dynamic target-driven denoising autoencoders
Accurate monitoring of abnormalities is of great significance to the stable operation of the
blast furnace ironmaking process. This article proposes a data-driven model to accurately …
blast furnace ironmaking process. This article proposes a data-driven model to accurately …
Prediction of multiple molten iron quality indices in the blast furnace ironmaking process based on attention-wise deep transfer network
Molten iron quality (MIQ) indices prediction based on data-driven models is an important
way to monitor product quality and smelting status in the blast furnace ironmaking process …
way to monitor product quality and smelting status in the blast furnace ironmaking process …
Depth estimation from a single image of blast furnace burden surface based on edge defocus tracking
Continuous and accurate depth information of blast furnace burden surface is important for
optimizing charging operations, thereby reducing its energy consumption and CO 2 …
optimizing charging operations, thereby reducing its energy consumption and CO 2 …
Temperature field prediction model for zinc oxide rotary volatile kiln based on the fusion of thermodynamics and infrared images
The timely and accurate measurement of temperature field is of great significance for the low-
carbon and high-efficiency operation of the zinc oxide rotary volatile kiln (ZORVK). Due to …
carbon and high-efficiency operation of the zinc oxide rotary volatile kiln (ZORVK). Due to …
基于动态注意力深度迁移网络的高炉铁水硅含量在线预测方法
蒋珂， 蒋朝辉， 谢永芳， 潘冬， 桂卫华 - 自动化学报, 2023 - aas.net.cn
铁水硅含量是反映高炉冶炼过程中热状态变化的灵敏指示剂, 但无法实时在线检测,
造成铁水质量调控盲目. 为此, 提出一种基于动态注意力深度迁移网络(Attention deep transfer …
造成铁水质量调控盲目. 为此, 提出一种基于动态注意力深度迁移网络(Attention deep transfer …
Research on the influence of multiple interference factors on infrared temperature measurement
Infrared thermal imager is an important means of temperature measurement. However, the
measurement results of infrared thermal imagers are easily affected by interference factors …
measurement results of infrared thermal imagers are easily affected by interference factors …
A novel intelligent monitoring method for the closing time of the taphole of blast furnace based on two-stage classification
Determining the taphole closing time is an essential task in the blast furnace ironmaking
process because the closing time directly affects the efficiency of iron production and the …
process because the closing time directly affects the efficiency of iron production and the …
Ironmaking process under artificial intelligence technology: A review
H Zhou, Y He, B Li, D Song, Q Zhu… - Ironmaking & …, 2024 - journals.sagepub.com
The ironmaking process is a complex and continuous operation, which makes it difficult to
collect and predict the production parameters. To address this challenge, artificial …
collect and predict the production parameters. To address this challenge, artificial …
Optimization method of the installation direction of industrial endoscopes for increasing the imaged burden surface area in blast furnaces
Z Yi, Z Jiang, J Huang, X Chen… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
An industrial endoscope can monitor the abnormal conditions of the blast furnace burden
layer by detecting the burden surface. Aiming at the problem of a small area of burden …
layer by detecting the burden surface. Aiming at the problem of a small area of burden …
Real-time surface temperature measurement of steel continuous casting strand in the steam-filled spray chamber
Real-time surface temperature measurement of steel continuous casting strand in the steam-filled
spray chamber - ScienceDirect Skip to main contentSkip to article Elsevier logo Journals & …
spray chamber - ScienceDirect Skip to main contentSkip to article Elsevier logo Journals & …