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Progress monitoring of construction projects using pattern recognition techniques

机译：使用模式识别技术对建设项目进行进度监控

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Project monitoring involves collecting the actual-progress data, and comparing them against the relevant planned-progress data to evaluate the overall project progress at specified cut-off dates. Inevitable issues including variations in reporting skills as well as the willingness to record accurate data impact on the quality of the collected data. Comparison against multiple possible benchmarks (one-to-many) rather than a single benchmark (one-to-one) offers the potential to alleviate the negative impact of low-quality data on the progress evaluation. Special patterns, which can be readily manipulated within computer programs, are devised to encode the planned and actual progress at the cut-off dates. Basically, pattern recognition techniques are utilized to classify the multiple patterns representing the planned progress at a given cut-off date and the classification is used to evaluate the pattern representing the actual progress at the same date. The pattern recognition techniques generalize a virtual benchmark to represent the planned progress based on multiple patterns generated at a given cut-off date and representing possible benchmarks. In addition to the alleviation of the negative impact of low-quality data on the progress evaluation, the generalization feature potentially encourages a long-run attitude in site personnel to report high-quality data. Finally, the pattern recognition concept and technique proved their robustness to monitor and evaluate the overall progress of the projects based on the technique of critical path method.
机译：项目监视包括收集实际进度数据，并将它们与相关的计划进度数据进行比较，以在指定的截止日期评估总体项目进度。不可避免的问题包括报告技能的差异以及记录准确数据的意愿对收集到的数据质量的影响。与多个可能的基准（一对多）而不是单个基准（一对一）进行比较，可以缓解低质量数据对进度评估的负面影响。设计了可以在计算机程序中轻松操作的特殊模式，以在截止日期对计划的和实际的进度进行编码。基本上，模式识别技术用于对代表给定截止日期的计划进度的多个模式进行分类，分类用于评估代表同一日期的实际进度的模式。模式识别技术基于在给定的截止日期生成的多个模式来概括虚拟基准，以表示计划的进度并表示可能的基准。除了减轻低质量数据对进度评估的负面影响外，泛化功能还可能鼓励站点人员长期报告高质量数据。最后，基于关键路径方法的技术，模式识别的概念和技术证明了其对项目总体进度进行监测和评估的鲁棒性。

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