Sensor-based bridge monitoring - Data collection and forecasting for infrastructure maintenance

Rising traffic volumes and ageing infrastructure are increasing the resources needed to monitor and maintain bridges. In the Innovation Sandbox for AI, Schweizerische Südostbahn AG (SOB) and irmos technologies tested how data-driven monitoring can provide a better basis for decision-making.

At the Reidholz railway bridge in Wädenswil (ZH), sensors recorded train traffic and provided a more precise picture of loads and structural condition. The data was used to develop different scenarios for the remaining service life of the bridge.
The project showed that data-driven methods can support maintenance and investment decisions. At the same time, the Sandbox team clarified legal issues relating to liability, data protection and operation. The pilot project illustrates how data-driven approaches can make infrastructure maintenance in the Zurich metropolitan area safer, more efficient and more sustainable.

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