基于DAG的画布与表达式双向转写研究OA

In the process of building mechanism models such as power generation equipment status monitoring and hidden danger warning,in order to improve the real-time visibility of the model modeling and calculation process,class configuration building tools such as operators,canvases,and connections are often used,but they are complex formulas.There is a sense of fragmentation in the logical presentation.This research proposes a method for identifying and verifying canvas elements based on directed acyclic graphs(DAG)to realize the forward transfer from the visualization mechanism model to mathematical expressions;in the reverse transfer process,the three-layer logical relationship of Token-AST-DAG is constructed.Finally,operators and operation relationships are restored in the canvas.Experimental verification shows that this method supports bidirectional transcriptions of most mechanism models,and the error rate is less than 2%.