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收集数据，这是通过雇用观察员从现场收集工人工具时间和性能信息来执行的。由于人为错误和数据可获得性的限制，这种人工收集的数据质量较低。一些研究人员试图通过自动化监控建筑项目的各个方面来解决这个问题。然而，该行业仍然缺乏一个全面的解决方案，可以促进对建设项目的整体进度监测。拟议研究的目标是开发一种能够处理这种多样性和复杂性的自动、实时系统，从而为建筑施工项目的进度监测问题提供最佳解决方案。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，在几分钟甚至几个小时的数量级内提供响应。拟议方法与以前所有其他尝试的根本区别在于，承认建筑项目非常复杂，没有一种技术能够收集监测场地在其整个生命周期内生产力所需的所有信息。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，以收集原始生产率信息，并合并这些信息，以实时生成生产率报告。拟议的研究希望通过一种集成的方法实现监测过程的自动化：多个传感系统(使用视频、靶场图像等)。将开发一个软件平台，以监测不同施工阶段和要素的工作进度；将开发一个软件平台，以综合通过传感系统提取的进度信息；将从建筑信息模型检索时间表，以便自动将实际进度与时间表和报告偏差进行比较；将开发一个基于网络的界面，以便于访问。

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.