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: 2020
• 资助国家: 加拿大
• 起止时间: 2020-01-01 至 2021-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=716153
• 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，人们对通过将建筑信息模型 (BIM) 与物联网 (IoT) 和虚拟/增强现实 (VR) 等新兴数字技术相结合来改进设施生命周期管理 (FLCM) 活动的兴趣激增。 /AR）。虽然这些新的协同效应显示出巨大的潜力，但主要的研究差距仍然限制了这些技术的联合效益。 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数据生态系统的紧密联系，这阻碍了在设施的整个生命周期中有效的跨域数据交换。解决建筑环境互操作性的形式本体论和语义网络技术已显示出有希望的结果，但这些方法的应用尚未主要针对 BIM-IoT 集成进行更多研究。 仅仅统一 FLCM 数据并不能增加太多价值，应首先融合不同收集的数据，然后将其转化为有用的信息/知识。此外，需要各种推论来检索相关信息/知识作为设计的决策支持系统 (DSS) 的输入。然而，由于人为干预仍将是一个关键要素，因此将数据分析与严肃的游戏相结合，通过增强此类环境提供的可视化和交互来提供更多机会。 为了提供丰富的 BIM、物联网和严肃的游戏环境编排，该提案研究了“认知 BIM”：一个用于创建以 BIM 为中心、能够自我进化的设施数字孪生的框架，能够感知、学习和交互，以满足这一长期目标。短期愿景中，制定了四项短期目标，涉及七名学生：两名博士生、四名硕士生和一名本科生。首先，将研究本体论和语义网络技术的应用。集成 BIM，接下来，将提出一个数据分析框架来应用各种先进的数据挖掘方法，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/知识并提供特定领域的 DSS。 ，该框架将扩展以开发支持 VR/AR 的界面，从而向各个利益相关者（例如设计师、施工人员、设施经理）传达及时见解的丰富可视化，帮助他们基于启发式解决问题并结合他们的经验直观的反馈。 拟议研究的结果将有助于建筑环境的可持续发展，为智慧城市的实现铺平道路，在智慧城市中，建筑物、桥梁和隧道等不同设施的数字孪生可以实时共享见解。明智地集体行动。