Application of smart factory concepts in panelized construction manufacturing

ACQBUILD Inc.，加拿大领先的板式建筑公司，近年来一直积极投资和参与阿尔伯塔大学的研究项目。首席研究员，已经成功地完成了几个研究项目与ACQBUILD包括生产力的提高，人体工程学分析，精益生产，和信息技术的应用（例如，RFID）。RFID项目是第一个已知的RFID技术在面板结构中的实施。工厂布局和人体工程学研究仍在进行中。PI和该拟议项目的行业合作伙伴已经确定了镶板施工中信息和通信技术的短缺，以及应用智能工厂概念以改善整体镶板施工过程的必要性。因此，通过这个项目，该小组正在寻求获得更全面的了解，并实施改进，目前的做法，在镶板建设。本研究的主要目标是通过应用SmartFactory概念来改善面板化施工操作，包括现场和场外活动。内容包括：（1）物流和现场装配的实践回顾和时间研究;（2）物流和现场装配的时间研究;（3）使用条形码技术收集实时数据流;（4）人工智能在物流决策中的应用;（5）使用Web应用程序实现物流数据的可视化;（6）基于投影的增强现实在面板制造中的应用;（7）基于投影的增强现实在面板制造中的应用。（7）基于Web的施工现场物流规划应用开发。该项目将通过为智能工厂概念的应用提供指导，提供经济简单的智能施工管理系统，并为异地施工的研究开辟新的途径来加强行业实践。预计拟议的研究将使加拿大更广泛地受益，包括提高镶板建筑部门的效率;提高住房的可负担性;减少建筑过程对环境的影响;以及增加建筑制造部门的就业机会。

ACQBUILT Inc., a leading panelized construction company in Canada, has been actively investing andparticipating in research projects with the University of Alberta in recent years. The principal investigator, hassuccessfully completed several research projects with ACQBUILT encompassing productivity improvements,ergonomics analysis, lean manufacturing, and applications of information technology (e.g., RFID). The RFIDproject was the first known implementation of RFID technology in panelized construction. The factory layoutand ergonomics studies are still in progress. The PI and the industry partner for this proposed project haveidentified a shortage of information and communication technology in panelized construction, as well as theneed for application of the smart factory concept to improve the overall panelized construction process. Assuch, through this project the team is seeking to gain a more comprehensive understanding of, and toimplement improvements to, current practice in panelized construction. The primary objective of this researchis to improve panelized construction operation, including both on and offsite activities, by applying SmartFactory concepts. It will encompass (1) a review of current practice and time study for logistics and on-siteassembly; (2) time study of logistics and on-site assembly; (3) collection of live data stream using barcodetechnology; (4) application of artificial intelligence in logistics decision making; (5) visualization of logisticsdata using web application; (6) application of projection-based augmented reality in panel manufacturing; and(7) development of web-based construction site logistics planning application. This project will enhanceindustry practice by providing a guideline for applying the Smart Factory concept, providing an economical andsimple intelligent construction management system, and opening of new avenues for research in offsiteconstruction. The proposed research can be expected to benefit Canada more broadly in terms of improvedefficiency in the panelized construction sector; improved housing affordability; reduced environmental impactof the construction process; and job growth in the construction manufacturing sector