The Fault Detection Of Bore System Design And Implementation

The detection for inner surface of barrel bore plays an important role in artillery measurement. It is so indispensible that the detection is needed during the production, the use and even the maintenance of gun barrel. Currently, the barrel bore detection is still in the state of complex operation, low efficiency and low accuracy. In order to improve that state, the technology about real-time photoelectric barrel bore detection has been researched in this dissertation.On the bases of the present status investigation in barrel bore detection and the machine vision technology in image processing, a defects detection system for barrel bore based on image processing is designed. The system consists of two parts:the hardware structure and the software platform. The designed structure of hardware mainly includes the probe structure for optical panoramic imaging, the selection of CCD camera and lens, and the design of LED lighting system. The software platform is mainly composed of four modules, including image acquisition, processing, calibration for character disease detection and results outputting. The completed design of defects detection system could control the image acquisition device CCD to acquire panoramic annular images of barrel bore through the human computer interaction interface, perform various image processing operations on acquired images of barrel bore based on defects detection, and get detection results displayed, saved and printed in real time.The experimental results show that the defects detection system designed for barrel bore has many practical advantages, such as good detection structure, nice applicability and high detection precision. It could satisfy the requirements of actual detection for barrel bore and has a high application value.