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A platform for research: civil engineering, architecture and urbanism
Autonomous IoT for Condition Monitoring, Assessment and Predictive Maintenance ‐ Advances
AbstractRocket NG is a startup with experts in civil engineering, electronics, and network engineering. We offer and operate a self‐developed end‐to‐end IoT system for condition monitoring, condition assessment and predictive maintenance. The system is reliable and ease to apply.In this paper the autonomous monitoring system is discussed regarding security, reliability, ease of use and artificial intelligence on the edge (smart algorithms used on the nodes). Additionally, the importance of an easy installation and an intuitive data representation are on discussion.Five applications will be presented. The first application is a crack monitoring on a cantilever bridge. There, different data acquisition modes will be shown for the assessment of static loads, dynamic loads and temperature induced displacements. The second application shows the crack width opening due to heavy transport. The third application addresses the wetting and drying of chloride contaminated water in a concrete wall beside a motorway. The fourth is a monitoring of a passive cathodic protection system. Finally, a digitalization of an analog legacy Extensometer is shown.
Autonomous IoT for Condition Monitoring, Assessment and Predictive Maintenance ‐ Advances
AbstractRocket NG is a startup with experts in civil engineering, electronics, and network engineering. We offer and operate a self‐developed end‐to‐end IoT system for condition monitoring, condition assessment and predictive maintenance. The system is reliable and ease to apply.In this paper the autonomous monitoring system is discussed regarding security, reliability, ease of use and artificial intelligence on the edge (smart algorithms used on the nodes). Additionally, the importance of an easy installation and an intuitive data representation are on discussion.Five applications will be presented. The first application is a crack monitoring on a cantilever bridge. There, different data acquisition modes will be shown for the assessment of static loads, dynamic loads and temperature induced displacements. The second application shows the crack width opening due to heavy transport. The third application addresses the wetting and drying of chloride contaminated water in a concrete wall beside a motorway. The fourth is a monitoring of a passive cathodic protection system. Finally, a digitalization of an analog legacy Extensometer is shown.
Autonomous IoT for Condition Monitoring, Assessment and Predictive Maintenance ‐ Advances
ce papers
Burtscher, Stefan L. (author) / Huber, Peter (author) / Binder, Fritz (author) / Bauer, Hannes (author)
ce/papers ; 6 ; 163-169
2023-09-01
Article (Journal)
Electronic Resource
English
Autonomous IoT for Condition Monitoring, Assessment and Predictive Maintenance
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