| With the continuous development of the global economy,the scale and quantity of my country’s construction projects have shown a continuous growth trend.However,construction projects often have problems such as overlapping working surfaces and chaotic process connections,which lead to delays in project progress,cost overruns,and other adverse consequences of increased project risks;at the same time,changes in design and construction conditions often occur during the construction process,which further increases the project risk.Applying modern surveying and mapping science and technology to engineering construction management can scientifically and reasonably assist construction progress monitoring,further improve construction quality and efficiency,and reduce project costs.This study uses reality model reconstruction technology,multi-source heterogeneous data fusion technology and BIM technology to verify the feasibility of BIM collaborative multisource heterogeneous data-assisted construction progress monitoring.Select different equipment at the construction site to obtain multi-source heterogeneous data,import it into supporting software to complete data processing,use oblique photogrammetry technology and3 D laser scanning technology to construct a 3D real scene model of the construction site,and then adjust the above two types of models Into a format suitable for multi-source heterogeneous data fusion,based on the improved SICP registration algorithm to complete multi-source heterogeneous data fusion and then build a construction site data fusion model.The data fusion model is integrated with BIM technology and linked into the modeling software,and the BIM geometric model of the construction site is reversely constructed.After supplementing the parametric information,the actual BIM model of the construction site is obtained.This technology reduces the impact of manual intervention,reduces data collection errors,and improves data collection efficiency.The project uses progress management technology to process the actual BIM model,effectively reducing the waste of labor resources and building materials in actual engineering,and achieving the purpose of assisting construction progress monitoring.This study analyzes the work content of BIM collaborative multi-source heterogeneous data-assisted construction progress monitoring.The research conclusions are as follows:(1)In the past,the construction progress information data of the project was usually obtained by manually entering text.The efficiency of data processing and analysis was low,and it was difficult to meet the requirements of modern construction projects for data accuracy and timeliness.However,accurate progress information data is the basis to ensure that the project can be completed on schedule.If only a single device is used to obtain construction progress information data,the data source is relatively single,and the 3D real scene model constructed has limitations and limited application range,which makes it difficult to meet the project’s requirements for model accuracy.If multiple data collection methods are combined,different types of information data under the same construction scene can be obtained.Therefore,this study chooses the progress information data acquisition technology suitable for complex construction environments,obtains on-site data,realizes multi-source heterogeneous data fusion based on registration algorithms,builds a complete and high-precision data fusion model,and effectively solves data gaps and overlaps.To achieve efficient and accurate construction progress management.(2)The ICP algorithm is used to register the same type of point cloud data,and the model can meet the accuracy standard,but the multi-source heterogeneous data registration using this method will produce a local optimal model,but the overall accuracy is not high.Aiming at the shortcomings of the ICP algorithm,this study uses the SICP registration algorithm to model.This method can effectively solve the problem of low accuracy in multisource data registration,but it has many iterations and takes a long time.Therefore,based on the SICP registration algorithm,the iteration factor is introduced to improve the iteration speed,and the ideal scale factor is used on the three-axis scale.Based on the improved SICP registration algorithm,this study realized multi-source heterogeneous data registration,and then completed data fusion modeling,which solved the problems of incomplete model outline and low accuracy,and effectively improved the model integrity and accuracy.(3)In this study,the data fusion model of the construction site is integrated with BIM(Building Information Modeling)technology,and the BIM geometric model is constructed in reverse,and the actual BIM model of the construction site is obtained after supplementing the parametric information.Based on the above model,project managers use The Gantt chart comparison method and the earned value analysis method visually display the construction progress,and make decisions after discovering the progress deviation to manage the project construction progress.In addition,BIM technology can also be used to conduct collision detection on integrated pipelines,and provide timely and accurate suggestions for project managers during the construction and operation and maintenance stages of the project.After the simulation experiment was carried out on the construction site,this study proves that the method adopted in this study can effectively assist the construction progress monitoring.Generally speaking,the technology studied in this paper can to a certain extent make the collaboration between the design party,the construction party and the operation and maintenance management party more smooth in the whole life cycle of the project,so that information and data can be shared,and all participants can conveniently solve construction problems.This research provides a reference solution for the management and sharing of construction progress information of domestic construction projects. |
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