Digital Reconstruction Analysis based on Multi-Perspective Information Integration Algorithm

Abstract

Digital reconstruction analysis of public art based on the multi-perspective information integration algorithm considering blockchain is the focus of this paper. In the process of reconstruction, firstly, the abstract syntax tree corresponding to the source code is traversed through the visitor mode. The main static analysis methods used include lock set analysis, alias analysis and negative effect analysis: lock set analysis is used to collect monitor objects and store the corresponding relationship between monitor objects and lock objects alias analysis is used to solve the alias problem in the lock set. The blockchain base layer can provide a safe and reliable system for the upper layer in open-source systems such as the Fabric or Hyperleger. This will be further applied into the reconstruction analysis of public art. The model is tested through the systematic simulation.