Research On The Diameter Controlling System For Silicon Grower Based On Embedded Technology

Crystalline silicon as basic materials of the semiconductor and solar cell manufacturing, has been seen in people's daily life. Moreover, the larger diameter of silicon chip, the higher the market prospects and the higer the technical requirements of their production. Czochralski technique becomes more and more important in the production of silicon. Accordingly, the technology of a diameter and high precision controlling CCD camera-based scanning recognition can greatly improve control of the silicon technology and thus has attracted much attention.On the basis of growth of crystalline silicon semiconductor material, an embedded machine vision system is applied to study video image acquisition, processing and display. The purpose is to develop an intelligent embedded solution and service to meet make of demands. This thesis implements an ARM9-based processor (S3C2440A) of embedded Linux system platform and completed that camera through the USB interface, acquisition, image pre-processing, D/A module for digital-analog conversion capabilities.This thesis does the following research based on a detailed analysis of the discussion of the characteristics of embedded systems, hardware and software.1)Demonstrate the plan which adopts the image acquisition and processing system built on embedded technology, by means of analysis of the early detection of diameter, based on the characteristics of the growth of silicon and the advantages of embedded technology.2) Designe a silicon-based embedded rod diameter Detection System, which is built on Linux as implented with ARM9 chip S3C2440A, USB camera and VGA monitor.3)Set up a Linux operating development platform, after carrying out the transplant of the Linux operating system based on friendly Mini2440.4) Set the algorithm for calculating the diameter of silicon using of grayscale converting, histogram equalization, the global Minimum threshold value method, following a comparison of various digital image processing algorithms.5) Complete the hardware and software design of DA module. Through the debugging and experiment, research papers on the Czochralski growth rate of crystalline silicon to measure, control, achieve the measured data read of. The form of the results is to make a complete, integrated high degree of hardware, software and a set of matching algorithms, to enable the project to achieve image acquisition, image processing, size detection, monitoring display and other functions.