Real Time Automated Progress Monitoring System for Building Construction Projects

建筑施工项目实时自动化进度监控系统

• 批准号: 250366-2012
• 负责人: Ruwanpura, JanakaYasantha
• 金额: $ 3.42万
• 依托单位: University of Calgary
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2012
• 资助国家: 加拿大
• 起止时间: 2012-01-01 至 2013-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=514548
• 关键词: Real; Time; Automated; Progress; Monitoring

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.

由于难以收集可靠信息来评估正在进行的建筑工程的进度，许多建筑项目没有受到系统的监控。生产力评估需要手动数据收集，这是通过雇用观察员从现场收集工人的工具时间和绩效信息来进行的。由于人为错误和数据可用性的限制，此类手动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设项目的各个方面来解决这个问题。然而，该行业仍然缺乏能够促进整个建设项目进度监控的全面解决方案。 本研究的目标是开发一种自动实时系统，能够处理这种多样性和复杂性，从而为建筑施工项目的进度监控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 - 大约几分钟甚至几小时，具体取决于应用程序的需求。所提出的方法与所有其他先前尝试之间的根本区别在于承认建设项目非常复杂，并且没有任何一种技术可以收集监控站点整个生命周期的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，在该平台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实时生成生产力报告。 拟议的研究期望通过综合方法实现监控过程的自动化：将开发多种传感系统（使用视频、范围图像等）来监控各个施工阶段和要素的工作进度；将开发一个软件平台来整合传感系统提取的进度信息；将从建筑信息模型（BIM）中检索进度表，自动将实际进度与进度表进行比较并报告偏差；将开发一个基于网络的界面以提供方便的访问。