Visualized Management System of Prefabricated Construction and Installation Engineering Based on BIM and Machine Learning

The visual management system of prefabricated construction and installation engineering cannot meet the boundaries of overlapping construction conditions and prolongs the project completion time. Therefore, a visual management system of prefabricated construction and installation engineering is designed based on BIM and machine learning. In the hardware part, the signal conditioning circuit and the main control circuit are designed to realize the amplification and filtering of the collected signal, which is convenient for the realization of the programmable gain. In the software part, a unified organization coding system is used to establish a building component information database, and a schedule-resource collaborative management model is established based on BIM while satisfying the constraints of overlapping relationships and resource constraints. Using the machine learning method, the quality management process is connected in series according to the relationship between quality flow and information flow, the nodes of the construction quality chain are selected, and resources are allocated. The system performance test is carried out with the prefabricated building project as the experimental object. The result shows that the completion time of the designed system in this paper is 40 weeks, which is 12 and 16 weeks shorter than the system based on RFID integration technology and the genetic algorithm, respectively. Therefore, the design system in this paper is highly sensitive to the difference in the construction period in the project schedule control and can shorten the project completion period.