Toward smarter management and recovery of municipal solid waste: A critical review on deep learning approaches
Increasing generation of municipal solid waste, heterogeneity of waste composition, and
complex processes of waste management and recovery have limited the performance of …
complex processes of waste management and recovery have limited the performance of …
[HTML][HTML] Intelligent ironmaking optimization service on a cloud computing platform by digital twin
The shortage of computation methods and storage devices has largely limited the
development of multi-objective optimization in industrial processes. To improve the …
development of multi-objective optimization in industrial processes. To improve the …
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 …
A collaborative optimization strategy for energy reduction in ironmaking digital twin
The expenses of pig iron manufacturing stay in a relatively high level due to the large
consumption of coke and ore. There are a variety of methods to optimize the ironmaking …
consumption of coke and ore. There are a variety of methods to optimize the ironmaking …
Real scene acquisition and holographic near-eye display system based on a zoom industrial endoscope
In this paper, we propose a real scene acquisition and holographic near-eye display system
based on a zoom industrial endoscope. By controlling the driving current of the liquid lens …
based on a zoom industrial endoscope. By controlling the driving current of the liquid lens …
CSDM: A cross-scale decomposition method for low-light image enhancement
Inadequate lighting condition is one of the main factors affecting image quality. For high-
quality image display and vision applications, low-light image enhancement is an extremely …
quality image display and vision applications, low-light image enhancement is an extremely …
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 …
Soft sensor modeling method based on target-guided related feature learning and its application
Currently, soft sensors have been extensively used in complex industrial processes. How to
learn effective features from nonlinear process data is the core task of building precise soft …
learn effective features from nonlinear process data is the core task of building precise soft …
Detection of blast furnace stockline based on a spatial–temporal characteristic cooperative method
The accuracy and continuity of stockline detection in blast furnaces (BFs) are useful for
improving the burden shape and material charging efficiency. However, conventional …
improving the burden shape and material charging efficiency. However, conventional …
Influence of charging parameters on the burden flow velocity and distribution on the blast furnace chute based on discrete element method
The charging parameters at the top of a blast furnace are key factors that influence the
burden flow trajectory and burden surface. To analyze the influence of the charging …
burden flow trajectory and burden surface. To analyze the influence of the charging …