Introduction In order to realize the real-time reconstruction of plasma shape and position in tokamak, a visible light edge reconstruction algorithm based on fully connected neural network is proposed based on the analysis of camera calibration algorithm.
Method The function of the algorithm was to establish the corresponding relationship between the pixel coordinate system and the tokamak coordinate system, and then realize the plasma visible light edge reconstruction.
Result On the basis of the algorithm, few-shot learning is added to further improve the reconstruction algorithm of fully connected neural network.
Conclusion Experimental results show that the algorithm can accurately reconstruct the plasma visible light edge, and also meet the real-time requirements of the system.
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