The Detection Of Electrified Railway Overhead Contact System Design

Recently,With the development of the high-speed electrified railway,the security problem is also been concerned.The overhead contact are an important part of the power supply system for electrified railway,if it fails,it will affect the operation of the traction power supply system,and even can disrupt the driving function of electrified railway.Due to the open air layout of the electrified railway,the environment has great influence on it,and the operation is affected by the weather and the hanging objects.The hanging objects on the impact of the electrified railway cannot be ignored,it may cause the EMU bow down or stop,it may cause heavy power equipment failure or pantograph fault,so a large number of EMU being late,people's travel will be affected.So,the study of the hanging objects on the overhead contact is necessary.With the development of the computer technology,the digital image processing technology is also used in the detection of overhead contact system.Because of the complexity of the overhead contact,the technology of acquisition and recognition the image is also rising.At present,most of the overhead contact detection system is detected by the camera,It is not qualitative,and it will affected by external conditions.This paper proposes a high-speed image acquisition and processing system.It can be used in the detection of overhead contact system.The key of the detection of overhead contact system is acquisition and processing the image,which requires a high real-time performance and reliability.This article adopts the hardware structure of DSP + FPGA,The combination of DSP and FPGA can give full play to the processing speed of the DSP chip and computing power,and the FPGA configuration of repeatable flexibility and the real-time performance,and so many advantages.Greatly improve the speed of image processing and accuracy.On the hardware in this paper,we select TI corporation 8-core Keystone chip named TMS320C6678 as the core of DSP processor architecture,and Altera Cyclone IV series EP4CE15 as the FPGA coprocessor processor architecture,Designed a set of image acquisition and processing system.The system design mainly includes the design of image acquisition part?the image processing part and some peripheral circuit.In the algorithm,this paper completed the image filtering algorithm and image sharpening method,Compared the several kinds of commonly used filter algorithm,designed the space-time filtering method based on the nonlocal filtering ?designed the Laplace sharpening filter,and completed these simulation.In the last,for the edge detection of Sobel operator,we proposed an improved method,and completed its simulation.