Integrating Internet of Things (IoT), Advanced Analytics and Immersive Computing to Enable Cognitive BIM

集成物联网 (IoT)、高级分析和沉浸式计算以实现认知 BIM

• 批准号: RGPIN-2020-05090
• 负责人: Motamedi, Ali
• 金额: $ 1.89万
• 依托单位: École de technologie supérieure
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2022
• 资助国家: 加拿大
• 起止时间: 2022-01-01 至 2023-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=753910
• 关键词: Integrating; Internet; Things; IoT; Advanced

Recently, there has been a surge of interest in the improvement of Facility Life-Cycle Management (FLCM) activities by integrating Building information modeling (BIM) with emerging digital technologies, such as Internet of Things (IoT) and Virtual/Augmented Reality (VR/AR). While these new synergies show great potential, major research gaps still limit the joint benefits of such technologies. One of the primary challenges is the lack of sufficient semantic interoperability between the data ecosystems of these technological disciplines. This shortcoming mainly stems from strong ties to closed data ecosystems, which impede effective cross-domain data exchange throughout the lifecycle of facilities. Recent research using formal ontologies and semantic web technologies to address interoperability for the built environment has shown promising results. However, the application of such approaches has yet to be more extensively investigated for BIM-IoT integration. Mere unification of FLCM data does not add much value. The diverse collected data should first be fused and then transformed into useful information/knowledge. Additionally, various inferences are required to retrieve relevant information/knowledge as input to Decision Support Systems (DSS) designed to assist target practitioners. Yet, since human intervention will remain as a key element, integrating data analytics with serious games promises further opportunities by enhancing the visualizations and interactions provided by such environments. To deliver rich orchestrations of BIM, IoT, and serious game environments, this proposal investigates "Cognitive BIM": a framework for creating BIM-centred and self-evolving digital twins of facilities capable of sensing, learning, and interacting. To meet this long-term vision, four short-term objectives have been established with the involvement of 7 students: two Ph.D., four M.Sc., and one undergraduate student. First, the application of ontologies and semantic web technologies will be investigated to integrate BIM, IoT, and recorded lifecycle data. Next, a data analytics framework will be presented to apply various advanced data-mining methods. Then, an ontology-based framework will be developed to retrieve contextually relevant information/knowledge and feed domain-specific DSS. Finally, the framework will be expanded to develop VR/AR-enabled interfaces and convey rich visualizations of timely insights to various stakeholders (e.g., designers, constructors, facility managers), thereby assisting them in heuristics-based problem-solving and incorporating their intuitive feedback. Results of the proposed research will contribute to the sustainable development of the built environment by paving the road for the actualization of smart cities in which individual digital twins of different facilities, such as buildings, bridges, and tunnels, can share insights in real-time and act intelligently and collectively.

最近，通过将建筑信息建模（BIM）与新兴的数字技术（例如物联网）（IoT）和虚拟/增强现实（VR/AR）相结合，对设施生命周期管理（FLCM）活动的改善引起了人们的兴趣。尽管这些新的协同作用具有巨大的潜力，但主要的研究差距仍然限制了此类技术的共同利益。 主要挑战之一是这些技术学科的数据生态系统之间缺乏足够的语义互操作性。这一缺点主要源于与封闭的数据生态系统的牢固联系，这阻碍了整个设施生命周期的有效跨域数据交换。最新的研究使用正式的本体论和语义Web技术来解决建筑环境的互操作性，这显示了令人鼓舞的结果。但是，此类方法的应用尚未得到更广泛的研究以进行BIM-IOT整合。 仅统一FLCM数据并不会增加太多价值。首先应融合各种收集的数据，然后转变为有用的信息/知识。此外，需要各种推论才能检索相关信息/知识作为旨在协助目标从业者的决策支持系统（DSS）的输入。但是，由于人类干预将仍然是关键要素，因此将数据分析与严肃的游戏集成在一起，可以通过增强这种环境提供的可视化和互动来进一步的机会。 为了提供BIM，IoT和严肃游戏环境的丰富编排，该提案调查了“认知BIM”：创建能够感知，学习和互动的设施的数字双胞胎的框架。为了满足这一长期愿景，已经建立了四个短期目标，并参与了7名学生：两名博士学位，四名M.SC和一名本科生。首先，将研究本体和语义Web技术的应用，以整合BIM，IoT和记录的生命周期数据。接下来，将提出一个数据分析框架以应用各种高级数据挖掘方法。然后，将开发一个基于本体的框架来检索上下文相关的信息/知识和特定于域的DSS。最后，将扩展该框架以开发VR/AR-AR-AR-AR-SUBLED界面，并将及时见解的丰富可视化传达给各种利益相关者（例如，设计师，构造者，设施经理），从而帮助他们进行基于启发式问题的解决方案，并使他们的直觉反馈。 拟议的研究的结果将通过为实现智能城市的实现铺平道路，为建筑环境的可持续发展做出贡献，在这种道路上，不同设施的单个数字双胞胎（例如建筑物，桥梁和隧道）可以实时分享洞察力，并巧妙地和集体行动。