Low-cost construction progress monitoring by mobile phone photogrammetry

进度监测和质量控制是大型建筑项目确保按时完成任务并在规定的尺寸公差范围内完成任务的基本过程，并允许及时采取行动纠正计划和施工之间的差异。在加拿大，目前的施工进度监测做法大多是人工过程，耗时、成本高，而且容易出错。此外，它们的性质只允许收集有限数量的定性数据。为了找出延误和成本超支的原因，现场主管必须花费大量时间分析收集到的数据。这不仅阻碍了问题的及时发现，而且还分散了工地主管对当前建筑活动、生产率和安全的监控。该项目将解决加拿大缺乏有效和准确的施工进度监测计划的问题。具体地说，它将开发新的方法，利用手机摄像技术准确量化管道和供暖系统的安装管道。用手机捕捉的图像将自动创建三维模型(其中几个将进行测试)，以便与计划的模型进行比较。该项目的行业合作伙伴是MJS机械公司，这是一家专门从事新建建筑、建筑升级和设施服务的专业机械承包和服务公司。MJS致力于这个项目，因为他们已经确定，准确的管道量化是他们的进度跟踪系统中的一个重要问题，可以通过这项研究来解决。

Progress monitoring and quality control are essential processes for large construction projects to ensure that tasks are completed on time and within the specified dimensional tolerances, and to allow timely action to be taken to remedy discrepancies between the plan and built. In Canada, current construction progress monitoring practices are mostly manual processes that are time-consuming, costly and error-prone. Moreover, their very nature allows only the collection of a limited amount of qualitative data. In order to identify the causes of delays and cost overruns, site supervisors must spend a considerable amount of time analyzing the collected data. This not only prevents timely identification of issues, but also distracts site supervisors from monitoring current construction activities, productivity and safety. This project will address the lack of an efficient and accurate construction progress-monitoring scheme in Canada. Specifically, it will develop new methodology to allow accurate quantification of installed pipework for plumbing and heating systems with mobile phone camera technology. Three-dimensional models will be automatically created from imagery captured with the phones (several will be tested) for comparison with the planned models. The industry partner for this project is MJS Mechanical, a professional mechanical contracting and service firm specializing in new building construction, building upgrades and facility services. MJS has committed to this project because they have identified accurate pipework quantification is a significant problem in their progress tracking system that can be addressed by this research.