Real Time Automated Progress Monitoring System for Building Construction Projects

由于难以收集可靠的信息来评估正在进行的建筑工程的进展情况，许多建筑项目没有得到系统的监测。生产力评估需要人工数据收集，这是由雇用观察员收集工人的工具时间和性能信息的网站。由于人为错误和数据可用性的限制，这种人工收集的数据质量很低。一些研究人员试图通过自动化建设项目的各个方面的监控来解决这个问题。然而，该行业仍然缺乏一个全面的解决方案，可以促进整个建设项目的进度监控。 拟议的研究的目标是开发一个自动的，实时的系统，可以处理这种多样性和复杂性，因此，可以为建筑施工项目的进度监控问题提供最佳的解决方案。实时系统保证在严格的时间限制内提供响应-根据应用程序的需要，在几分钟甚至几小时的数量级。所提出的方法和所有其他以前的尝试之间的根本区别是，承认建设项目是非常复杂的，没有一种技术可以收集所有的信息，监测整个生命周期的网站的生产力。相反，拟议的研究将开发一个灵活的平台，其中可以集成多种技术来收集原始生产力信息，并整合这些信息，以生成真实的生产力报告。 拟议的研究预计将自动化监测过程与综合方法：多传感系统（使用视频，范围图像等）。将开发一个软件平台，以整合传感系统提取的进度信息;将从建筑信息模型中检索时间表，以自动将实际进度与时间表进行比较，并报告偏差;并将开发一个基于网络的界面，以方便访问。

Many construction projects are not systematically monitored, due to the difficulty in gathering reliable information to assess the progress of ongoing construction work. Productivity assessment requires manual data collection, which is carried out by employing observers to collect worker Tool Time and performance information from sites. The quality of such manually collected data is low, due to human errors and limitations in data availability. Several researchers have attempted to solve this problem by automating the monitoring of various aspects of construction projects. However, the industry still lacks a comprehensive solution that can facilitate progress monitoring of a construction project in its entirety. The goal of the proposed research is the development of an automatic, real-time system that can handle this diversity and complexity and can, therefore, provide an optimal solution for the problem of progress monitoring for building construction projects. A real-time system is guaranteed to provide a response within strict time constraints - in the order of minutes or even hours, depending on the needs of an application. The fundamental difference between the proposed approach and all other previous attempts is the acknowledgement that the construction projects are highly complex and that no single technique can gather all the information required for monitoring the productivity of a site throughout its life cycle. Instead, the proposed research will develop a flexible platform within which multiple techniques can be integrated to gather raw productivity information and consolidate such information to generate productivity reports in real time. The proposed research expects to automate the monitoring process with an integrated approach: multiple sensing systems (using videos, range images, etc.) will be developed to monitor progress of work in various construction phases and elements; a software platform will be developed to consolidate progress information extracted by sensing systems; schedules will be retrieved from Building Information Modeling (BIM) to automatically compare actual progress with the schedules and report deviations; and a web-based interface will be developed to provide easy access.