This paper introduces a design of gaussian Laplace edge detection algorithm model based on system generator which can be realized in FPGA.The data of a two- dimensional image was changed into a one-dimensional array,before line buffering in two Dual port RAM,the convolution of the image pixel data and the LOG template was carried out in the modules constituted of the component elements such as AddSub, Shift and Delay . After getting the absolute value with the modules of Slice,Negate and Mux ,the output was the image after edge-detection .The module function and the selecting principle was analyzed from the point of view of saving FPGA resources.The WaveScope and resource estimator showed that :not only the detection result and the running speed was guaranteed but also the FPGA resources can be saved .
For the failure diagnose of onsite mechanical equipment, which based on vibration noise in section, both characteristic signal and noise influence were contained in vibration signal, which all accepted by the machine. The problem arise when the characteristic signal was weak compare with the useless noise, the useful signal becomes hard to obtain, hence result in lower accuracy of the equipment. In this thesis, a new method based on the delayed autocorrelation demodulation method was analyzed and will be used on demodulation noise reduction: Based on the noise reduction feature of autocorrelation function, the related analysis was taken on vibration signal, then the autocorrelation function for the signal was obtained. Then with proper delay on autocorrelation function to avoid noise effect and envelop demodulation, we could achieve the demodulation result. The theoretical analysis and simulation experiments has proven the delayed autocorrelation demodulation method achieve better anti-noise performance than direct demodulation method, meanwhile, the delayed autocorrelation demodulation method could also highlights the characteristic information.
After the completion of the CMOS(Complementary Metal-Oxide-Semiconductor Transistor) camera module assembly,in order to test the image quality of module. In this paper, based on the ISO12233 standard chart proposing a CMOS camera module modulation transfer function MTF (modulation transfer function) of test method, MTF average value calculated for each module with high contrast and grayscale method, and validation processing to detect unqualified imaging module. The results show that MTF detection method used in this paper can quickly and accurately detect the quality camera module, and stable and reliable, playing an important role to found the quality problems and improve the efficiency of production.
Heat treatment intelligent workshop is an information system platform to meet the urgent need of China heat treatment information, which based on networking mode, integrates material heat treatment, electronic information, computer and other subjects of advanced theory and technology to do precise control, Lean management, and regional cooperation. System is an important manifestation of producing benefits after being highly fused modern information technology and traditional industries, which can effectively guarantee the quality of heat treatment, promote heat treatment to energy-saving emission reduction and clean production. This paper introduces the real-time monitoring system based on the production process. The platform, the configuration software , real-time monitors production process equipment, process and parameters, and through the execution layer of database system and intelligent workshop for data exchange, which has advantages of flexible configuration, the development of high efficiency, easy to extend .
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