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4D Construction Project Schedule Optimization Research Based On BIM Technology

Posted on:2018-09-20Degree:MasterType:Thesis
Country:ChinaCandidate:K YangFull Text:PDF
GTID:2322330515497527Subject:Architecture and civil engineering
Abstract/Summary:
Project schedule management is an important task of engineering management disciplines,the implementation of the entire project has a crucial impact,directly related to the project objectives can be achieved smoothly and the economic benefits of project participants,and how to use the scientific and refinement methods to optimize the project schedule management process,is a vital task in the schedule management.With the rapid rise of BIM technology,BIM-4D application in project schedule management is also increasingly mature,but most of the existing researches on BIM-4D schedule management are limited to the software application and progress of macro control,in the process optimization also depend on the artificial experience and subjective forecasting.Based on BIM-4D technology progress optimization of secondary development research is less.Therefore,this paper aimed to the present stage of BIM-4D technology progress optimization on deep second development,Combination of the BIM-4D technology information advantages and schedule optimization system of PSO of artificial intelligence to further optimization of time limit for a project and cost,will coexist and common used in the engineering project schedule optimization,combined with algorithm model and information technology,but also make the optimization results more accurate scientific progress.This paper first systematically analyzes the content and technical methods of the progress of the traditional project,sums up the traditional project schedule optimization of the existing problems,Compare the BIM-4D technology in the application of progress management and the traditional schedule optimization,validation of BIM and 4D technology application advantages and necessity.Based on the above analysis build based on BIM-4D schedule management technology is applied to implement process,make the BIM 3D model,4D schedule model generation and the method of 4D construction process simulation technology.Secondly based on the study of BIM-4D technology in the construction period,cost optimization is proposed o the need to further deepen the problem,and make the BIM-4D technology schedule optimization for the secondary development,and to further improve the BIM-4D technology optimization management method,the BIM-4D technology optimization and scientific artificial intelligence PSO algorithm to enhance the time and cost optimization quality.First,the BIM-4D technology to interact with Lean Construction theory,build the BIM-4D technology and the theory of Lean Construction interaction patterns,And provides theoretical integration support for the secondary development of BIM-4D schedule optimization technology.Second,set up time-cost dynamic model of the BIM-4D schedule optimization under the time and cost,using improved particle swarm algorithm to optimize the simulation and realization of scientific and accurate schedule optimization.Third,build the time-cost optimization model for a project based on BIM-4D technology integration approach,using the time-cost optimization model optimize the schedule based on BIM-4D technology to achieve computer integrated system,make the BIM-4D technology schedule optimization application more sophisticated,and provide a new way for scheduling optimization research.Finally the theory process of integration system to the actual project as an example for empirical study.Design based on BIM three-dimensional model in the actual engineering,prepare the schedule to build 4D model in order to realize the construction progress dynamic simulation.At the same time using the PSO in the Matlab software to solve the time-cost optimization model for the simulation experiments,and get the optimal period and minimum net cost,achieve progress fine tuning.
Keywords/Search Tags:BIM-4D, Schedule optimization, Lean construction, Time-cost optimization, Integration method
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