Collaborative Research: An Audio-Based Spatiotemporal System for Automated Monitoring of Construction Operations

协作研究：用于自动监控施工作业的基于音频的时空系统

• 批准号: 1606034
• 负责人: Abbas Rashidi
• 金额: $ 19万
• 依托单位: Georgia Southern University Research and Service Foundation, Inc
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-09-30 至 2018-03-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1606034&HistoricalAwards=false
• 关键词: Collaborative; Research; Audio; Based; Spatiotemporal

The construction industry has been suffering from the lack of real-time performance monitoring, holistic project management, labor efficiency, and waste-preventive tools. This has led to cost overruns in almost 90 percent of construction projects with an average of 28 percent higher than forecast costs. This research project is expected to facilitate a transformative change in the ways that construction activities and operations are tracked and monitored. It will play a significant role in future rapid, nonintrusive and cost effective data acquisition capacity due to the use of audio signals instead of active sensors or digital cameras. Eventually the incurred efficiencies, sustainability benefits, and reduced costs of an automated project monitoring system will significantly benefit the U.S. Architecture, Engineering, Construction and Facilities Management industry. Success in this project also promises significant impacts to engineering education. The project's educational activities are highly integrated and inter-related with the research activities. The research results will be used to create educational material and will be made publicly available to educators at other institutions. The research results will also be integrated into the outreach and engagement activities and will result in engaging minorities and underrepresented groups through various programs.Despite recent advances in developing and implementing audio signal processing techniques for analyzing and modeling complex systems and processes, the real added value and potential applications of audio signals are still unknown to the civil engineering research community. This project is the first attempt to introduce audio signals as an alternative source of information for recognizing, tracking and monitoring construction operations at jobsites. Current approaches for recognizing and monitoring construction operations are either location-based or machine-vision-based, and implying audio signals is a significant leap to overcome their limitations. The framework provides the missing link between generic signal processing and construction performance monitoring. This project will expand the research horizons for academics in civil infrastructure systems as well as in digital signal processing domains. Particularly, this scientific breakthrough will set the stage for future research in automatically identifying and life-logging construction operations and equipment actions, estimating project performance indices, and creating corrective measures to keep the project performance as planned. This, in turn, will enable the future development of novel, automated applications for construction sequence analysis, productivity measuring, project monitoring and control systems, and maintenance decision making.

建筑行业一直在缺乏实时绩效监控，整体项目管理，劳动力效率和预防范围的工具。这导致近90％的建筑项目中的成本超支，平均比预测成本高28％。预计该研究项目将促进跟踪和监视施工活动和运营方式的变革性变化。由于使用音频信号而不是主动传感器或数码相机，它将在未来的快速，非感官和成本效益的数据获取能力中发挥重要作用。最终，自动化项目监控系统的效率，可持续性福利和降低的成本将显着使美国建筑，工程，建筑和设施管理行业受益。该项目的成功也有望对工程教育产生重大影响。该项目的教育活动与研究活动高度融合并相关。研究结果将用于创建教育材料，并将向其他机构的教育工作者公开使用。研究结果还将集成到外展和参与活动中，并通过各种计划使少数群体和代表性不足的群体吸引。该项目是首次尝试引入音频信号，作为识别，跟踪和监视工作场所的施工操作的替代信息来源。当前识别和监视施工操作的方法是基于位置的或基于机器视觉的方法，并且暗示音频信号是克服其局限性的重大飞跃。该框架提供了通用信号处理与施工性能监控之间缺少的联系。该项目将扩大民用基础设施系统以及数字信号处理领域的学者的研究视野。特别是，这一科学突破将为未来的研究奠定基础，以自动识别和遗传生命的施工操作和设备操作，估算项目绩效指数以及制定纠正措施，以保持项目绩效。反过来，这将使未来的新颖，自动化应用程序用于施工序列分析，生产力测量，项目监控和控制系统以及维护决策。