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    I³-Junior-Project – TUHH-Twin: Smart campus monitoring using digital twins
    Smart campuses aim to improve comfort, health, and productivity of students and staff, while becoming more energy-efficient through the application of new technologies. However, smart campus concepts are not yet standardized or widely adopted, due to the complex interdisciplinary nature of university campuses. The work presented in this paper demonstrates the potential of a smart campus for the Hamburg University of Technology (TUHH), centered on digital twin technology. The “TUHH-Twin” serves as a common data environment to integrate data collected on campus from various sources, such as indoor and outdoor environmental sensors, room occupancy sensors, and electricity meters. In addition, the TUHH-Twin allows students and researchers to visualize and query campus data, which is publicly accessible for research purposes, using building information modeling and Internet of Things technologies. The TUHH-Twin will be further developed through research and student projects, as well as in courses offered at TUHH. The campus data collected during the project may be used to improve the quality of life on campus and have a scientific basis to optimize room occupancy and informed decision making with respect to reduced energy consumption.
      48
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    Localization of mobile robots using LiDAR technology
    Background and motivation Traditional methods of building inspection, both in the construction phase and in the operation phase, are usually conducted manually, being time-consuming, costly and subjective, depending on the expertise of the inspector. To reduce time and cost, and to render the inspections more objective, robotic systems are increasingly deployed in an attempt to automate building inspection. Deploying robotic systems for building inspection requires accurate localization, enabling the robots to find their routes within the buildings. In addition, accurate localization is required to correctly evaluate the data collected through the inspections. Various techniques for localizing robotic systems have been proposed, one of which is the Light Detection and Ranging (LiDAR) technology that allows drawing conclusions about actual locations based on laser scans. Project goal and expected results This study aims to investigate the quality of LiDAR systems available in the market with respect to the localization of mobile robotic systems deployed for building inspection. Several LiDAR systems will systematically be reviewed and tested in a laboratory environment, using a motion capture system as a reference for localization. Thereupon, a comparative study will be conducted by means of different use cases representing typical scenarios of building inspection in engineering practice. It is expected that, as a result, conclusions will be drawn regarding the quality of the LiDAR systems in localizing mobile robotic systems, as localization is one of the most fundamental competencies required by mobile robots representing an essential precursor to making decisions within the process of building inspection.
      41
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    BIM-based information modeling for semantic description of intelligent structural health monitoring systems
    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.
      482