This article combines the construction of the office refrigeration mechanical room of the Shenzhen Huide Building Project, analyzes the current technical difficulties in the construction of electrical & mechanical equipment pipelines in the large mechanical room, and proposes a new set of DMBP prefabricated mechanical room construction technology from the perspectives of cost saving, efficient construction, environmental protection and energy saving, which will be processed on-site. The operation is transferred the on-site manufacture work to the digital processing base for digital production, and the prefabricated components are transported to the site for assembly. By focusing on the four core of dmbp, the paper realizes a new construction mode of the machine room for off-site prefabrication and on-site assembly in five stages: deepening design, material procurement, prefabrication, loading and transportation, and field assembly, and providing technical support for the construction of mechanical and electrical equipment pipelines of the assembly machine room.

Due to the advantages of good integrity, strong applicability and reasonable stress, the cast-in-place continuous beam bridge has become one of the most widely adopted bridge types. Meanwhile, BIM technologies play increasingly important role in the value of infrastructure construction, but there are still many difficulties during the modeling process of cast-in-place continuous beam bridge. To solve those problems during the process of cast-in-place continuous beam bridge design modeling, such as the slow speed and the complex of upper structure, this research collected the data from circuit design line, created the Revit parametric components, prepared a list of the bridge Excel component parameters and provided Dynamo automatic modeling program, which in overall has presented a set of complete solution based on the pattern of "Revit+Dynamo" cast-in-place continuous beam bridge design modeling method. It enables to model the complex upper part of the structural components, as well as enable the rapid modeling process of bottom structural components. It has greatly improved the degree of refinement and has improved the efficiencies of modeling, also it has provided a more reliable basis for data extraction and data analysis of cast-in-place continuous beam bridge construction.