Research On Binocular Positioning System Of Rail Fasteners

China has a land area of 9.6 million square kilometers and a population of 1.4billion.The flow of population and the transportation of resources have become particularly important.With the continuous development of science and technology in China,the traditional labor efficiency is facing improvement and elimination in various industries.At this stage,China is transforming from a manufacturing country to a creating country.China’s infrastructure development is quite rapid,has been in the forefront of the world,especially the development of railway,high-speed rail car technology has been very mature,not only in the domestic alternative to the original green train,but also exported to all over the world.In this context,railway related supporting services also need to be innovated.The lack and damage of spikes need a lot of manpower,material resources and time to eliminate the hidden dangers,including the replacement and installation of spikes.In the previous traditional artificial technology,the efficiency is too low,the work volume is too large,and it is restricted by external weather,light and professional ability of workers.The use of computer vision system can reduce the labor intensity of testing personnel,improve work efficiency and work safety,and rail maintenance of comprehensive automatic testing equipment is an important direction of future development.The main work of this paper is summarized as follows:(1)This paper discusses the development of rail transit and the role of spikes in rail safety,compares the commonly used machine vision positioning methods,and selects linear CCD camera as the image acquisition component of the positioning system.(2)The overall scheme of the system is designed,the hardware platform and the human-computer interface of software operation are built,and the real-time display of data image acquisition and the image annotation of center positioning are realized.(3)According to the center location algorithm of image processing proposed in this paper,the center location of the tested component is realized.The module matching is used to search and extract the area of the spike,and then the Canny operator is used to filter the contour.Then the least square method is used for thecircular coupling of the center pillar of the spike thread to realize the coarse location of the center pillar of the spike,and finally the center pillar of the screw thread is found according to the texture characteristics of the area Center position and dimension.(4)According to the scheme of the system design,the experimental car platform is built,and field test is carried out in the Miluo track line,mainly testing the effectiveness,robustness and noise of the system.The experimental results show that the design of the center positioning system meets the basic requirements.