Research on Full Chain Construction Intelligent Control System and Return Evaluation Model Mathematical Optimization

Abstract

Aiming at various problems existing in construction projects, this paper constructs a whole-chain intelligent control system for construction projects, and studies the optimal path of the intelligent control system return evaluation model. By collecting a large amount of data generated in the construction management process, in order to improve the control efficiency and accuracy, the construction process data is classified and organically linked with the control process, and a data-driven model is constructed. Describe and model the internal structure and construction process of the whole chain of heterogeneous data of the construction project, and generalize the effect of heterogeneous data to each sub-process, design the UML fusion mechanism, and embed the data-driven UML fusion into the control The whole chain intelligent control system of process and construction projects. Finally, the general return evaluation model is optimized and improved, in order to more accurately evaluate the performance of the whole chain construction intelligent control system in terms of control effect and control income.