BIM-based information modeling for semantic description of intelligent structural health monitoring systems

基于BIM的智能结构健康监测系统语义描述信息建模

• 批准号: 409501498
• 负责人: Professor Dr.-Ing. Kay Smarsly
• 金额: --
• 依托单位: Lehrstuhl Informatik im Bauwesen
• 依托单位国家: 德国
• 项目类别: Research Grants
• 财政年份: 2018
• 资助国家: 德国
• 起止时间: 2017-12-31 至 2021-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/409501498?language=en
• 关键词: BIM; based; information; modeling; semantic

Intelligent structural health monitoring systems, which play a crucial role in digitalization processes within the construction industry, are composed of sensor nodes possessing so called "on-chip intelligence". Structural health monitoring (SHM) based on sensor nodes with on-chip intelligence, referred to as "intelligent SHM", advances automated, pro-active real-time analyses of measured data directly on board the sensor nodes. Although intelligent SHM is continuously gaining importance, there are no standards available to regulate design and implementation of intelligent SHM systems. Furthermore, there is a lack of well-defined formalisms supporting digital representations of life-cycle information about the inherent logics of intelligent sensor nodes, about the SHM strategies implemented, about the overall SHM system and about the system dynamics ("monitoring-related information"). The proposed research project aims at developing a semantic model to digitally represent monitoring-related information based on a consistent formalism. In order to ensure correct semantics on a sound mathematical basis, the semantic model builds upon an ontology-driven conceptual approach. A major research question addresses the representation of system dynamics, which is to be solved through ontology temporalization using temporal logics as well as temporal-logical model structures based on modal logics. It is proposed to integrate the semantic model into the methods of building information modeling (BIM). Therefore, a "parametric" BIM concept (as opposed to "parameterized" BIM concepts) for intelligent SHM systems will be proposed. For validation, the concept will be materialized in a logical schema that builds upon open BIM standards. A main benefit of this project is a novel methodology for coherent integration of monitoring-related information (even in the planning phase of a building) into standardized building information models widely used in civil engineering. All monitoring-related information will be digitally available and can be updated throughout the life time of buildings. Finally, holistic analyses of structural, environmental, and operational data will be possible in a new context, which may serve as a reliable basis for decision making with respect to operation, maintenance and repair, facilitating infrastructure sustainability and resilience.

智能结构健康监测系统在建筑行业的数字化过程中发挥着至关重要的作用，由具有所谓的“片上智能”的传感器节点组成。基于具有片上智能的传感器节点的结构健康监测（SHM）（被称为“智能SHM”）推进了直接在传感器节点上对测量数据的自动化、主动式实时分析。虽然智能SHM的重要性不断增加，但没有标准可用于规范智能SHM系统的设计和实施。此外，缺乏定义明确的形式主义，支持数字表示的生命周期信息的固有逻辑的智能传感器节点，关于SHM策略的实施，关于整个SHM系统和系统动态（“监控相关信息”）。拟议的研究项目旨在开发一个语义模型，以数字表示监测相关的信息的基础上一致的形式主义。为了确保正确的语义在一个健全的数学基础上，语义模型建立在本体驱动的概念方法。一个主要的研究问题解决系统动力学的表示，这是通过本体时态化使用时态逻辑以及基于模态逻辑的时态逻辑模型结构来解决的。提出了将语义模型集成到建筑信息建模（BIM）方法中。因此，将提出智能SHM系统的“参数化”BIM概念（与“参数化”BIM概念相反）。为了验证，该概念将在基于开放BIM标准的逻辑架构中具体化。该项目的一个主要好处是一种新的方法，用于将监测相关信息（即使在建筑物的规划阶段）连贯地整合到土木工程中广泛使用的标准化建筑信息模型中。所有与监测有关的信息都将以数字方式提供，并可在建筑物的整个使用寿命期间进行更新。最后，在新的背景下，将有可能对结构、环境和运营数据进行全面分析，这可能成为运营、维护和维修决策的可靠基础，促进基础设施的可持续性和复原力。