建筑智能化工程进度优化研究

发布时间：2018-05-30 06:01

本文选题：建筑智能化 + 项目进度优化　；参考：《天津大学》2015年硕士论文

【摘要】：二十世纪初,建筑智能化工程行业在国内悄然兴起。随着改革开放的不断深入,建筑领域对建筑智能化工程的投资越来越多,建筑智能化工程的实施与进度管理也成为了该行业关注的热点。本论文的研究目的是解决建筑智能化工程在进度计划方面存在的问题,通过对进度计划现存问题的分析,找出产生问题的根源,然后运用项目进度优化的理论和方法,对进度计划进行优化调整。论文论述了建筑智能化工程的基本构成和工作分解结构,分析了建筑智能化工程进度计划优化的必要性。针对建筑智能化工程的进度计划制订过程,提出了资源均衡优化的目标,并运用资源均衡优化的方法:最小方差法和削峰填谷法相结合,对A酒店智能化工程进行了在资源均衡前提下进度计划的调整。通过问题的分析,提出该项目进度计划优化的改善措施,最终实现建筑智能化工程进度计划的优化。最后,总结全文提出不足之处,并对今后建筑智能化工程进度优化的研究工作做出了展望。
[Abstract]:At the beginning of the 20 ~ (th) century, the intelligent building engineering industry rose quietly in our country. With the deepening of reform and opening up, more and more investment has been made in the field of building intelligent engineering, and the implementation and schedule management of intelligent building engineering have become the focus of attention of the industry. The purpose of this paper is to solve the problems existing in the progress plan of the intelligent building engineering, through the analysis of the existing problems in the progress plan, to find out the root cause of the problem, and then to use the theory and method of the project schedule optimization. Optimize and adjust the schedule. This paper discusses the basic structure and work breakdown structure of intelligent building engineering, and analyzes the necessity of optimizing the schedule of intelligent building engineering. In view of the progress planning process of intelligent building engineering, this paper puts forward the goal of resource balance optimization, and applies the method of resource balance optimization, which is the combination of minimum variance method and peak and valley cutting method. The intelligent project of hotel A is adjusted under the premise of resource balance. Through the analysis of the problems, the improvement measures of the optimization of the project schedule are put forward, and the optimization of the intelligent building engineering schedule is finally realized. Finally, the paper summarizes the deficiencies of the paper, and makes a prospect for the future research work of intelligent engineering schedule optimization.
【学位授予单位】：天津大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：TU855;TU722

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