| 基于全寿命周期理论的工程项目健康检测体系构建 |
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| 引用本文： | 陈彦,成虎,刘晶,戴洪军.基于全寿命周期理论的工程项目健康检测体系构建[J].东南大学学报,2008,24(4):508-512. |
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| 作者姓名： | 陈彦 成虎 刘晶 戴洪军 |
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| 作者单位： | [1]东南大学土木工程学院,南京210096 [2]燕山大学图书馆,秦皇岛066004 |
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| 基金项目： | The Social Science Fund of Hebei Province （No. 200607011）, the Key Science and Technology Project of Hebei Province （ No. 07213529）, |
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| 摘 要： | 为了更有效地对工程项目的健康状态做出全面准确的评估，将全寿命期下工程项目所有监测指标按质量指标、费用指标、时间指标、各方面满意度和可持续发展指标等加以划分．并且基于该指标体系定性与定量指标相结合的特征，构建了PCA—PR分析模型．该模型先对全寿命期指标体系进行主成分分析（PCA），从之前构建的全寿命期指标中甄选出一批可以作为工程项目健康检测分析的主要特征指标体系；再针对这些主要特征指标体系进行模式识别分析（PR），即通过将工程项目即时可能状态划分为绿灯至红灯5种状态，利用模式识别模型和项目主要特征指标识别出项目任意时点的健康状态．最后结合实例进行相关分析，得出与实际情况较为吻合的分析结果，验证了该指标体系和模型的有效性．
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| 关 键 词： | 全寿命周期理论 主成分分析 模式识别 健康监测 |
Construction of project quality health monitoring system based on life-cycle theory |
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| Chen Yan,Cheng Hu,Liu Jing,Dai Hongjun.Construction of project quality health monitoring system based on life-cycle theory[J].Journal of Southeast University(English Edition),2008,24(4):508-512. |
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| Authors: | Chen Yan Cheng Hu Liu Jing Dai Hongjun |
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| Institution: | Chen Yan, Cheng Hu ,Liu Jing, Dai Hongjun (1.School of Civil Engineering, Southeast University, Nanjing 210096, China;2.Library, Yanshan University, Qinhuangdao 066004, China) |
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| Abstract: | In order to more effectively assess the health status of a project, the monitoring indices in a project's life cycle are divided into quality index, cost index, time index, satisfaction index, and sustainable development index. Based on the feature of qualitative and quantitative indices combining, the PCA-PR (principal component analysis and pattern recognition) model is constructed. The model first analyzes the principal components of the life-cycle indices system constructed above, and picks up those principal component indices that can reflect the health status of a project at any time. Then the pattern recognition model is used to study these principal components, which means that the real time health status of the project can be divided into five lamps from a green lamp to a red one and the health status lamp of the project can be recognized by using the PR model and those principal components. Finally, the process is shown with a real example and a conclusion consistent with the actual situation is drawn. So the validity of the index system and the PCA-PR model can be confirmed. |
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| Keywords: | life-cycle theory principal component analysis (PCA) pattern recognition (PR) quality health monitoring |
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