Real-Time Monitoring and Sensor Data Providing for the BIM-based Monitoring of Hydraulic Structures Using SensorThings API and MQTT (13014) |
| Fengyan Zhang, Marcel Aubart, Ralf Becker, Baris Özcan and Jörg Blankenbach (Germany) |
Mr. Fengyan Zhang
Research Assistant
RWTH Aachen Geodetic Institute
Aachen
Germany
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| Corresponding author Mr. Fengyan Zhang (email: fengyan.zhang[at]gia.rwth-aachen.de, tel.: +49 241 80 95300) |
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| [ abstract ] [ paper ] [ handouts ] |
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Published on the web 2025-03-16
Received 2024-12-02 / Accepted n/a |
| This paper is one of selection of papers published for the FIG Working Week 2025 in Brisbane, Australia PEER REVIEW in Brisbane, Australia and has undergone the FIG Peer Review Process. |
FIG Working Week 2025 in Brisbane, Australia PEER REVIEW
ISBN n/a ISSN 2307-4086
URL n/a
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Abstract |
| In many countries, civil engineering structures face challenges from ageing infrastructure, increased inspection and maintenance needs, while at the same time lacking effective real-time digital monitoring methods. This article focuses on hydraulic structures such as locks, weirs, and dams that are essential for waterway transportation. This paper introduces an advanced approach to integrate real-time sensor data into Building Information Modeling (BIM) systems, creating a digital twin framework for improved maintenance and operational efficiency. The project employs the OGC SensorThings API (STA) and MQTT protocol for standardized, real-time data transmission and management, with future plans to incorporate GeoMQTT for enhanced geospatial and temporal filtering.
Edge computing optimizes data preprocessing at the sensor level, enabling real-time analysis while reducing data volume. The proposed system includes a linked data model that semantically connects sensor data to BIM components, enhancing decision-making and visualization. Initial tests demonstrate the feasibility of managing high-frequency data streams with low latency, offering significant improvements in the proactive maintenance of hydraulic structures. Planned enhancements include edge-level data processing and improved (Geo)MQTT message sequencing for robust, scalable, and efficient monitoring. |
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| Keywords: Geoinformation/GI; GIM; Hydrography; Engineering survey; Urban renewal; Risk management; BIM; SensorThings API; MQTT; digital twin; real-time monitoring; edge computing |
