4th International Conference on Advanced Composite Materials and Manufacturing Engineering 2017 | |
An automatic detection method for the boiler pipe header based on real-time image acquisition | |
材料科学;化学 | |
Long, Yi^1,2 ; Liu, Yunlong^1,2 ; Qin, Yongliang^3 ; Yang, Xiangwei^1,2 ; Li, Dengke^1,2 ; Shen, Dingjie^1,2 | |
State Grid Hunan Electric Power Company Research Institute, Changsha, China^1 | |
Hunan Xiangdian Test Research Institute Co.Ltd., Changsha, China^2 | |
Yuanyang Hu Power Plant, Shenhua Guoneng Energy Group Corporation Limited, Yinchuan, China^3 | |
关键词: Automatic detection method; Auxiliary device; Foreign matter; Manual operations; Real-time detection; Real-time image acquisitions; Simulation comparison; Thermal power plants; | |
Others : https://iopscience.iop.org/article/10.1088/1757-899X/207/1/012057/pdf DOI : 10.1088/1757-899X/207/1/012057 |
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学科分类:材料科学(综合) | |
来源: IOP | |
【 摘 要 】
Generally, an endoscope is used to test the inner part of the thermal power plants boiler pipe header. However, since the endoscope hose manual operation, the length and angle of the inserted probe cannot be controlled. Additionally, it has a big blind spot observation subject to the length of the endoscope wire. To solve these problems, an automatic detection method for the boiler pipe header based on real-time image acquisition and simulation comparison techniques was proposed. The magnetic crawler with permanent magnet wheel could carry the real-time image acquisition device to complete the crawling work and collect the real-time scene image. According to the obtained location by using the positioning auxiliary device, the position of the real-time detection image in a virtual 3-D model was calibrated. Through comparing of the real-time detection images and the computer simulation images, the defects or foreign matter fall into could be accurately positioning, so as to repair and clean up conveniently.
【 预 览 】
Files | Size | Format | View |
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An automatic detection method for the boiler pipe header based on real-time image acquisition | 176KB | download |