PFI-TT: Prototyping a Hybrid System for Automated Activity Detection and Monitoring of Construction Equipment

PFI-TT：用于建筑设备自动活动检测和监控的混合系统原型设计

• 批准号: 2016514
• 负责人: Abbas Rashidi
• 金额: $ 25万
• 依托单位: University of Utah
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-08-15 至 2024-02-29
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2016514&HistoricalAwards=false
• 关键词: PFI; TT; Prototyping; Hybrid; System

The broader impact/commercial potential of this Partnerships for Innovation - Technology Translation (PFI-TT) is in addressing the lack of cost-effective and easy-to-use systems for recognizing and monitoring jobsite operations in the construction industry. The proposed system is a novel solution expected to assist jobsite managers and equipment owners to better assess the working status of equipment, to evaluate safety conditions and take preventive/corrective measures, when necessary. The ability of the system in automatically integrating and processing data collected from multiple machines will be particularly beneficial for medium and large size companies where fleets of construction equipment are utilized to execute larger size projects. This technology development project will advance the concept of “automated construction performance monitoring” from simple “location tracking” tools into more informative and comprehensive “action tracking and control” systems. Research shows that heavy commercial vehicles used in construction and mining represent approximately 6% ($42 million) of the total North America fleet management system market size. The proposed research focuses on the automated tracking and monitoring component of the fleet management system. The proposed project intends to create and empirically test the feasibility of a hybrid system capable of recognizing, tracking, and recording activities conducted by construction equipment at jobsites and then process and integrate the captured data from individual machines to automatically generate and update managerial information at project (and company) levels. The system consists of a hardware unit and the data analysis. The hardware unit, specifically designed and fabricated during this project, will be mounted on each piece of construction equipment. This hardware unit is capable of capturing three major sources of data (audio, kinematic, and location data) produced by machines while performing different tasks. The hardware unit is also capable of wirelessly communicating the collected data into a central processing unit located at any physical or virtual location such as a project office. The collected data for each piece of machinery will be processed and the different activities of the machine will be recognized based on the sounds and kinematic patterns. The chronological list of activities will be converted into semantic information regarding productivity rates and quantities of completed work. The information collected and computed for individual machines will be integrated and processed at the project (and company) level.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

这一创新技术转化伙伴关系(PFI-TT)的更广泛影响/商业潜力在于解决了缺乏成本效益高和易于使用的系统来识别和监测建筑行业工地作业的问题。拟议的系统是一种新的解决方案，预计将协助工地管理人员和设备所有者更好地评估设备的工作状态，评估安全状况，并在必要时采取预防/纠正措施。该系统自动集成和处理从多台机器收集的数据的能力将对利用建筑设备车队执行较大规模项目的中型和大型公司特别有利。这一技术开发项目将把“自动化施工绩效监测”的概念从简单的“位置跟踪”工具推进到更具信息量和更全面的“行动跟踪和控制”系统。研究表明，用于建筑和采矿的重型商用车约占北美车队管理系统市场总规模的6%(4200万美元)。拟议的研究重点是机队管理系统的自动跟踪和监测部分。拟议的项目旨在创建并经验性地测试混合系统的可行性，该系统能够识别、跟踪和记录工地建筑设备进行的活动，然后处理和整合从单个机器捕获的数据，以自动生成和更新项目(和公司)级别的管理信息。该系统由硬件单元和数据分析两部分组成。在本项目期间专门设计和制造的硬件单元将安装在每一台施工设备上。该硬件单元能够捕获机器在执行不同任务时产生的三个主要数据源(音频、运动学和位置数据)。硬件单元还能够将收集的数据无线传送到位于任何物理或虚拟位置(例如项目办公室)的中央处理单元。收集的每台机器的数据将被处理，并将根据声音和运动模式识别机器的不同活动。按时间顺序排列的活动列表将被转换为有关生产率和已完成工作数量的语义信息。为单个机器收集和计算的信息将在项目(和公司)级别进行整合和处理。该奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。