基於機器視覺的金屬生產及服役過程表面溫度與缺陷在線監測技術(英文版)
內容大鋼
智能感知技術是智能製造落地應用及生產過程式控制制、預報及工藝優化的基礎，近年來隨著機器視覺及人工智慧技術的快速發展，在鋼鐵領域已有大量基於機器視覺的典型應用，比如溫度檢測、表面缺陷檢測、尺寸檢測、廢鋼識別、輔助定位、物流號識別等，對提高鋼鐵行業質量檢測智能化、推動智能製造生根落地、提高生產效率及產品質量起到了良好的推動作用。針對目前國際前沿的機器視覺智能感知技術在鋼鐵行業的廣泛應用情況，本書將首次成體系介紹基於機器視覺的智能感知技術在鋼鐵行業應用的多學科交叉理論體系和部分研究成果。
作者介紹
編者:Zhou Dongdong//Xu Ke//Yuan Shengfu//Liu Xiaoming|責編:盧敏
目錄
1 Temperature Detection Methods Based on Machine Vision
1.1 Colorimetric thermometric model
1.1.1 Basic assumptions
1.1.2 The relationship of image grayscale and radiant temperature
1.1.3 Colorimetric temperature measurement model
1.2 Blackbody furnace calibration process
1.3 Image noise filtering method
1.3.1 Adaptive smooth filter denoising method
1.3.2 Adaptive median filter denoising method
1.3.3 Geometric mean filtering denoising method
1.3.4 Over-limit neighborhood filtering denoising method
1.3.5 Bilateral filter denoising method
1.3.6 Wavelet filter denoising method
1.4 Image edge detection method
1.4.1 Roberts operator
1.4.2 Sobel operator
1.4.3 Prewitt operator
1.4.4 Log operator
1.4.5 Canny operator
1.4.6 Morphological edge detection method
2 Temperature Detection in the Raceway Zone of Blast Furnace
2.1 Introduction
2.2 Theory and experiments
2.3 Methods to improve the temperature detection accuracy
2.3.1 Blackbody calibration for digital imaging system
2.3.2 Denoising for tuyere images
2.3.3 Edge detection for tuyere images
2.4 Combustion behavior and temperature in tuyere zone of BF
2.5 PCI process on the temperature variation in raceway zone of BF
2.5.1 Flame image temperature calculation
2.5.2 PCI rates
2.5.3 PCI cease processes
2.5.4 None PCI process
References
3 Uniformity and Activity of Blast Furnace Hearth
3.1 Introduction
3.2 Definitions of uniformity index and activity index
3.3 Experiments and temperature calculation
3.4 Uniformity index and activity index
3.4.1 Local uniformity index and local activity index
3.4.2 Ul and AI
References
4 Tuyere Coke Size and Temperature Distribution of BF
4.1 Introduction
4.2 Theory
4.2.1 Tuyere coke size detection
4.2.2 Temperature distribution calculation
4.3 Experiments
4.4 Results of tuyere coke size and temperature distribution
4.4.1 Calculation of tuyere coke size and temperature distribution of raceway zone
4.4.2 Results analyze
4.4.3 Calculation of coke belt length (CBL) in raceway zone of BF
References
5 Surface Temperature of Rail Steel Plates
5.1 Introduction
5.2 Emissivity calculation model
5.3 Theory
5.4 Experiments
5.4.1 Digital imaging system
5.4.2 Calibration for digital imaging system
5.4.3 Surface temperature variation during the rolling process
5.5 Temperature calculation results
5.5.1 Noise filtering results
5.5.2 Temperature detection results during rolling passes
References
6 Surface Defect Recognition of Aluminum Strips
6.1 Introduction
6.2 Aluminum strips images
6.3 NSST-KLPP model
6.4 Experiment and discussions
6.4.1 Experimental procedure
6.4.2 Experiment results
6.4.3 Comparison with common methods
6.4.4 Comparison of NSST,contourlet and DST
References
7 Surface Inspection of Continuous Casting Slabs
7.1 Introduction
7.2 Surface defects
7.3 DNST-GLCM-KSR model
7.4 Defect recognition algorithm
7.5 Defect recognition results
References
8 Surface Defect Recognition of Metals
8.1 Introduction
8.2 Construction of ICT
8.3 Defect recognition algorithms
8.4 Defect recognition results
References
9 Edge Detection of Retinal OCT Image
9.1 Introduction
9.2 Complex shearlet transform
9.3 Construction of detection formula
9.4 Numerical and visual experiments
9.5 Retinal OCT experiment
References
10 Detection of Character and Surface Defect in Steel Rail
10.1 Introduction
10.2 Experimental platform and experimental method
10.3 Methods
10.3.1 Photometric stereoscopic 3D reconstruction method
10.3.2 Character recognition method based on deep learning
10.4 Detection results
10.4.1 Defect detection results
10.4.2 Character recognition results
References
11 Image Quality Improvement for Underwater Visual Inspections
11.1 Introduction
11.2 ACE and DCP model
11.2.1 ACE algorithm
11.2.2 DCP with brightness correction
11.3 Underwater images of visual inspection
11.4 Results analyzes
11.4.1 Qualitative evaluation
11.4.2 Quantitative evaluation
11.4.3 Field application
References
12 The Visual Inspection of Defects in Nuclear Power Plant Reactors
12.1 Introduction
12.2 Visual examination of NPP reactors
12.3 Photometric stereo technique
12.4 D shape reconstruction of defects
12.4.1 Photometric stereo system
12.4.2 Estimation of light direction and intensity
12.4.3 D reconstruction using photometric stereo
12.5 Results analyzes
References
13 Improved Visual Inspection for Nozzle Inner Radius based on Panoramic Imaging
13.1 Introduction
13.2 Detection of defects on nozzle inner radius of an RPV
13.3 Proposed panaromic imaging methods
13.3.1 Image mosaicking method
13.3.2 Image optimization method
13.3.3 Defect measurement method
13.4 Experimental evaluation
References
14 Surface Quality Evaluation of Heavy and Medium Plate
14.1 Introduction
14.2 The surface defects formation and the partitioning of HMP
14.2.1 Analyzes of defects formation
14.2.2 Procedure for detecting flaws
14.2.3 Defects in partitioning
14.3 AHP evolution model
14.4 Results analyzes
References
15 Intelligent Manufacturing Technology in the Steel Industry of China
15.1 Introduction
15.2 Intelligent manufacturing in the steel industry of China
15.2.1 General briefing on intelligent manufacturing in the steel industry
15.2.2 Aims for intelligent manufacturing
15.2.3 Framework for intelligent manufacturing
15.3 Typical models for intelligent manufacturing of steel industry
15.3.1 Rolling process intelligent manufacturing model
15.3.2 Steelmaking & Rolling process intelligent manufacturing model
15.4 Key technologies for intelligent manufacturing in steel industry
15.4.1 Online detection technologies
15.4.2 Quality controlling technology for the entire procedure of
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