Research On Large Field Image Acquisition And Processing Technology Of Camera In EAST Device

The state of the first wall of the EAST device in the discharge experiment has a significant impact on the high-parameter steady-state operation of the device.In order to ensure the safe and steady operation of the device,three large-field visible/infrared endoscope diagnostic systems are installed on the EAST device to observe the operation condition of internal components such as the upper and lower divertor,the first wall,the limiter,heating antenna and so on.In this paper,related researches on EAST plasma discharge image edge detection technology and fast memory image mosaic technology based on reflective memory network have been accomplished based on these three large fields of view visible/infrared endoscope diagnostic systems.The main contents are as follows:1.Visible/infrared endoscope diagnostic system design.The optical path design of the visible/infrared endoscope is introduced based on the device window distribution and device characteristics.In order to reach the requirements of the discharge experiment,the visible camera PCO.edge5.5 control software was developed to obtain the data acquisition and processing in the discharge process.2.Plasma discharge image boundary detection.Recognition of plasma boundary during discharge is an approach to obtain plasma position which is applied for plasma upfield position feedback control.This article first calibrates the overall composition of the visible camera and endoscope to remove imaging distortion and calibration distance.To obtain the plasma boundary and compare it with the EFIT inversion results,Using a watershed-improved Snake model edge detection algorithm provides data for feedback control of plasma position.3.Research on large-field endoscope diagnostic systems based on reflective memory network.According to a reflective memory network,the visible images captured by the three visible/infrared endoscopy systems are transmitted to the data processing server for image stitching.We can use GPU to accelerate image stitching process.This can obtain a larger field of view image,greater monitoring area for the first wall,convenient to judge and analyze the discharge for the experimenter,to provide valid diagnostic data for the control of the plasma and for real-time feedback control.The visible/infrared endoscope diagnostic system is an important routine diagnosis on the EAST device.This article has carried on the preliminary research to the EAST device big field camera image acquisition and the processing technology and obtained the certain achievement.In the future,we can continue to study from the perspective of high-precision,high-resolution infrared image fusion.This allows the experimenter to understand EAST's internal visualization data in a timely,convenient and intuitive manner.