[PDF][PDF] 非接触式三维重建技术综述

刘志海, 代振锐, 田绍鲁, 刘飞熠 - 科学技术与工程, 2022 - stae.com.cn
摘要三维重建技术是获取研究对象三维信息的主要途径, 是计算机视觉和计算机图形学的研究
热点, 广泛应用于机器人视觉导航, 工业制造, 医学等领域, 具有较高的研究价值. 目前 …

Depth estimation from a single image of blast furnace burden surface based on edge defocus tracking

J Huang, Z Jiang, W Gui, Z Yi, D Pan… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Continuous and accurate depth information of blast furnace burden surface is important for
optimizing charging operations, thereby reducing its energy consumption and CO 2 …

[PDF][PDF] 小口径大视场工业内窥镜光学系统设计

史天翼, 杨磊, 刘泽武, 苏晓琴, 谢洪波 - 应用光学, 2023 - researching.cn
近年来, 内窥镜广泛应用于复杂环境下小尺寸零件缺陷检测, 该文设计一种用于航空发动机叶片
检测的工业内窥镜光学系统. 系统基本结构采用二次成像, 物镜采用非对称反远距结构 …

Real scene acquisition and holographic near-eye display system based on a zoom industrial endoscope

C Liu, Y Zheng, NN Li, YH Hou, Z Jiang, QH Wang - Optics Express, 2022 - opg.optica.org
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 …

A blast furnace burden surface deeplearning detection system based on radar spectrum restructured by entropy weight

Q Shi, J Wu, Z Ni, X Lv, F Ye, Q Hou… - IEEE Sensors …, 2020 - ieeexplore.ieee.org
Accurately capturing the burden surface information of a blast furnace (BF) is helpful to
adjust the burden distribution matrix and improve the gas flow distribution, which is essential …

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 …

Detection of blast furnace stockline based on a spatial–temporal characteristic cooperative method

Z Chen, Z Jiang, C Yang, W Gui - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
The accuracy and continuity of stockline detection in blast furnaces (BFs) are useful for
improving the burden shape and material charging efficiency. However, conventional …

A novel non-contact and real-time blast furnace stockline detection method based on burden surface video streams

J Zhu, W Gui, Z Chen, Z Jiang - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Real-time and accurate measurement of blast furnace (BF) stockline is important for
charging control and BF safety. However, traditional non-contact methods for stockline …

Learning-based key points estimation method for burden surface profile detection in blast furnace

H Wang, W Li, T Zhang, J Li, X Chen - IEEE Sensors Journal, 2022 - ieeexplore.ieee.org
Accurate Burden Surface Profile (BSP) detection is important for the operation of Blast
Furnace (BF). The signal-to-noise ratio of radar signals changes greatly during both the …

Attention Mono-depth: attention-enhanced transformer for monocular depth estimation of volatile kiln burden surface

C Liu, C Zhang, X Liang, Z Han, Y Li… - … on Circuits and …, 2024 - ieeexplore.ieee.org
Accurate estimation of burden surface depth plays a crucial role in constructing the
temperature field and optimizing reaction control in volatile kilns. However, most image …