The invention discloses an
ionization radiation field simulation calibration
system based on
artificial intelligence, and particularly relates to the field of
simulation calibration, and the
system comprises a multi-source
radiation data collection module, a data preprocessing module, an AI
simulation calculation module, a real-time
radiation field calibration execution module, and a multi-dimensional
calibration result AI
verification module. The method comprises the following steps: acquiring
original data of a
radiation field, and performing abnormal value
elimination, normalization and enhancement
processing to generate a standardized
data set; constructing a
radiation field dynamic simulation model based on a
deep learning model, and outputting a three-dimensional space
dose distribution
simulation result in real time; building a calibration parameter optimization model based on
reinforcement learning, generating a calibration instruction, and driving an execution mechanism to perform real-time calibration; and constructing a multi-dimensional
verification index system, intelligently verifying a
calibration result by adopting a
deep learning classification model based on an attention mechanism, dividing the
calibration result into three levels of qualification, to-be-optimized and disqualification, starting an error
traceability algorithm for a result which does not pass
verification, and generating a correction suggestion.