Autonomous IoT for Condition Monitoring, Assessment and Predictive Maintenance

Abstract

AbstractRocket NG is a startup with experts from civil, electronic and network engineering. We designed, offer, and operate an end-to-end IoT system for condition monitoring, condition assessment and predictive maintenance. The system operates autonomous and is characterized by reliability and simplicity in the application.One major goal was to ease the installation efforts. Thus, the sensors only need to be mounted on the structure and plugged into the IoT-Node. Neither a configuration nor a permanent power connection is required. The measured values are automatically transmitted (wireless) to the platform, stored in a structured manner, processed, assessed, and prepared for display as dashboards in a web browser. Assessments are also possible on the node (edge computing).In the paper three solutions are presented with their sensor layouts, advantages, and assessments. The first is a crack monitoring on a structural concrete bridge. The second is a cathodic protection system of a reinforced concrete cantilever. The third application addresses the wetting and drying behavior of a chloride exposed concrete wall beside the highway for further investigations of the chloride ingress. KeywordsMonitoringIoTAutonomousData fusionEdge computingMaintenance savings