| In recent years, with the rapid development of the high-speed train in China, its security has been paid much attention by the society. In the high-speed operation, a tiny fault may lead to heavy traffic accidents for the train. Considering the numerous parts and sophisticated structure inside the train, it may be difficult and inefficient for maintenance personnel to inspect and repair the potential hazards. Therefore, inspecting the potential failure and risks accurately and then eliminating the detrimental impacts which may be brought immediately should be given priority in terms of the safety performance of the high-speed train.The development of the sensor technology and image processing technology is conducive to the automatic and intelligent inspection of potential risks for high-speed trains. The comparison between the information of height value of the pixel in two-dimensional images collected from the chassis of trains and standard images may enable the maintenance personnel to inspect the potential risks on the chassis of trains in an accurate and effective way, which greatly enhances the efficiency of inspection. This paper, based on the deep research in the twin-line arrays CCD intersection measurement, applied the image processing technology and sensor technology to the distance measurement, and developed an embedded system which takes ARM as the core. The collection of height value information of key parts on the chassis of the object can be achieved through the binocular intersection measurement of two linear CCD sensors and the application of image processing technology.Based on theoretical studies, this paper designed the hardware and software systems for collecting device, made a laboratory machine, built a chassis model in the laboratory environment and conducted a verification experiment, finally obtained test data and made an error analysis, which provides theoretical foundations for further improvement of the precise ranging system and offers recommendations for improvement. |