Blockchain based Automated Construction Model Accuracy Prediction using DeepQ Decision Tree

A growth of Industry 4.0 standards are increasing day by day. Various research application and problem statements coming to create multiple automation environments. Blockchain technology is the important evolution produce dynamic avoid intermediate middleware processing systems. In this paper we propose a blockchain based automated construction modelling analysis system. Here check efficiency system using collaboration, transparency, workflow reliable data model. DeepQ classification prediction method used measure accuracy index. Decision tree algorithm divide process model generate chain codes. 1500 trained dataset 750 taken from Revit set apply codes dataset. The simulations effectively reach as 96%.