基于机器视觉的伽马射线辐射剂量测量系统

A Radiation Measuring System Based on Machine Vision

针对第三代核电机组辐射场景下存在的γ射线辐射剂量难以在线监测的问题,设计了一种基于机器视觉的γ射线辐射剂量测量系统。不同于常规的辐射剂量测量仪器或传感器,该系统采用使用基于深度学习的噪声检测算法来快速有效识别图像中的噪声,利用γ射线产生的图像噪声和射线强度具有的正相关性,再将这些正相关性数据进行反向运算,达到测量γ射线强度的目的。

A radiation measuring system based on machine vision is designed to achieve the goal of online monitoring of radiation doses in 3rd nuclear plant radiation scenarios.It utilizes the positive correlation between image noise generated byγ-ray and radiation intensity,and then performs reverse operations on these positive correlation data to achieve the purpose of measuring radiation intensity.