This paper designs a pinhole defects detection scheme of aluminum foil based on machine vision. After linear contrast stretch and image binary segmentation on captured production lines image, it analyzes the light/dark pixels collected domain, combined with image calibration technique and script, it realizes effectively inspect of aluminum foil product that doesn't meet the national standard. The experimental results verify that the system can take effective real-time online pinhole detection of aluminum foil.
In view of the defects in model of thermocouple characteristic using BP neural network (BPNN), such as lower precision, varying output, instability( after repeated training, the output may be queer), a model of thermocouple characteristic based on Generalized Regression Neural Network (GRNN) is established. The paper gives the process of model building for Ni-CrConstantan thermocouple characteristic within -270 ~ 1000℃. By means of network training, simulation and error analysis, the scope of spread parameter of neural network model for Ni-Cr Constantan thermocouple was found. When the spread is at 0.01~1.5, bigger errors appear mainly when thermo-EMF is less than 0V and greater than 75V. When it is at 0~0.01, the model has high precision and absolute error between simulation temperature and setting temperature is close to 0℃ (the mean squared error is 0.00000703~0 ℃ ). The results indicate that the model presented has a quick convergent speed in learning process, a higher accuracy and stability within a certain parameter scope. If the model is stored in CPU of an intelligent instrument, the instrument will have high accuracy without increasing hardware cost.
This article focuses on stepper motor control, and introduces the hardware structure of position control system design based on LabVIEW. Steps and methods of software design are expounded emphatically, and then test data are given. Tests show that the system has small steady-state error, short adjusting time, friendly interface, excellent portability, good control effect and other characteristics.
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