Event-driven strain cycle monitoring of railway bridges using a wireless sensor network with sentinel nodes
| Autor: | Khash-Erdene Jalsan, Glauco Feltrin, Michal Wojtera, Nemanja Popovic |
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| Rok vydání: | 2016 |
| Předmět: |
Engineering
Data processing business.industry Event (computing) Real-time computing 020101 civil engineering 02 engineering and technology Building and Construction Track (rail transport) Bridge (nautical) 0201 civil engineering Key distribution in wireless sensor networks ALARM 020303 mechanical engineering & transports 0203 mechanical engineering Mechanics of Materials Train business Wireless sensor network Civil and Structural Engineering |
| Zdroj: | Structural Control and Health Monitoring. 24:e1934 |
| ISSN: | 1545-2255 |
| DOI: | 10.1002/stc.1934 |
| Popis: | Summary Due to the increasing traffic volume on the European railway network, the remaining fatigue life of existing steel bridges is a major concern. Several investigations demonstrated that supplementing the assessment with monitoring data enables to achieve more reliable remaining fatigue life estimations. In this paper, an event-driven monitoring system based on a wireless sensor network that consists of two functionally different components was designed and tested. Sentinel nodes, which were mounted on the track, were used for detecting approaching trains and alerting with alarm messages the monitoring nodes. These nodes, which were mounted on the bridge, started strain sensing and data recording after receiving the alarm message and went back to a power saving mode upon completion. An embedded data processing algorithm transformed the recorded raw data into a much smaller data set representing strain cycles. A test deployment on a railway bridge demonstrated that train detection and alarming was fast and reliable. The combination of event-driven monitoring and embedded data processing allowed to extend the battery lifetime of monitoring nodes to several months. |
| Databáze: | OpenAIRE |
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