Robot-based inspection of civil infrastructure using frame semantics and linguistic metamodels

使用框架语义和语言元模型对民用基础设施进行机器人检查

• 批准号: 531513904
• 负责人: Professor Dr.-Ing. Kay Smarsly
• 金额: --
• 依托单位: Institut für Digitales und Autonomes Bauen B-1
• 依托单位国家: 德国
• 项目类别: Research Grants
• 资助国家: 德国
• 项目状态: 未结题
• 来源: https://gepris.dfg.de/gepris/projekt/531513904?language=en
• 关键词: Robot; based; inspection; civil; infrastructure

Future construction sites, frequently referred to as "smart construction sites", will be characterized by digitalization, automation, and interconnection. Subsumed under "Construction 4.0", smart construction sites realize the fourth revolution in construction, taking advantage of the momentum gained from the progress in robotic systems research and development. Robotic systems are increasingly deployed to automate inspections of civil infrastructure both in the construction phase and in the operation phase. To conduct robot-based inspections, inspection routes must be calculated and, if necessary, the routes of robotic fleets, collaboratively conducting inspection tasks, must be minimized and efficiently distributed. Since using digital building models, i.e. building information models, is mandatory in many areas of public construction, it is reasonable to use building information models as a conceptual basis for calculating inspection routes. Currently, however, it is hardly possible to fully integrate robot information into digital building models, which would enable efficient communication and coordination among robotic systems. This research project aims to provide a methodology for automating robot-based inspections using digital building models as a conceptual basis. The research hypothesis, formulated to achieve this aim, can be reduced to the following simple statement: Once an inspection task is specified, the inspection routes for robot fleets can reliably be calculated, based on (i) robot information and (ii) building information derived from digital building models. In this project, the semantics inherent to digital building models, which implicitly contain the information relevant to route calculation, serve as a formal basis for coupling robot and building information. Taking into account existing knowledge sources, the coupling is performed through frame semantics as a formal means for knowledge representation, since frame semantics are linguistically founded in cognitive science and have proven to be a powerful tool in construction grammar and computational linguistics. The frame-based knowledge, as a cognitive representation of the real world, is then mapped into linguistic metamodels in the form of ontologies, easily comprehensible by engineers, which allow generating specific inspection models. Using a reference bridge, standard-compliant building information models will be applied to validate the methodology. As a result, the research project is expected to provide a formal approach for reliably and efficiently deploying robotic systems to inspect civil infrastructure. It is further expected to provide a robust scientific foundation for assessing the potential of robotic systems to enhance the current state of the art of civil infrastructure inspections.

未来的建筑工地，通常被称为“智能工地”，将以数字化、自动化和互联化为特征。智慧工地作为“建筑4. 0”的一部分，借助机器人系统研发的发展势头，实现建筑业的第四次革命。机器人系统越来越多地被部署用于在施工阶段和运营阶段对民用基础设施进行自动化检查。为了进行机器人检查，必须计算检查路线，必要时，必须尽量减少和有效分配协作执行检查任务的机器人车队的路线。由于在公共建筑的许多领域必须使用数字建筑模型，即建筑信息模型，因此使用建筑信息模型作为计算检查路线的概念基础是合理的。然而，目前几乎不可能将机器人信息完全集成到数字建筑模型中，这将使机器人系统之间能够进行有效的通信和协调。该研究项目旨在提供一种使用数字建筑模型作为概念基础的自动化机器人检查方法。为实现这一目标而制定的研究假设可以简化为以下简单的陈述：一旦指定了检查任务，就可以根据（i）机器人信息和（ii）从数字建筑模型中导出的建筑信息可靠地计算机器人车队的检查路线。在这个项目中，固有的语义数字建筑模型，其中隐含的路径计算相关的信息，作为一个正式的基础耦合机器人和建筑信息。考虑到现有的知识来源，耦合是通过框架语义学作为一种形式化的知识表示手段，因为框架语义学是语言学上建立在认知科学，并已被证明是一个强大的工具，在构式语法和计算语言学。基于框架的知识，作为真实的世界的认知表示，然后映射到语言元模型的本体的形式，易于理解的工程师，允许生成特定的检查模型。使用参考桥梁，符合标准的建筑信息模型将被应用于验证方法。因此，该研究项目预计将提供一种正式的方法，用于可靠和有效地部署机器人系统来检查民用基础设施。它还有望为评估机器人系统的潜力提供坚实的科学基础，以加强民用基础设施检查的现有技术水平。