The Frauscher subsidiary Sensonic has added artificial intelligence (AI) to its sensor units to improve railway infrastructure monitoring with Distributed Acoustic Sensing (DAS). Integrating AI processing into Sensonic's rail infrastructure monitoring applications has expanded both options and capabilities for railway networks, resulting in improved response speeds, maintaining alarm accuracy and simplifying data transmissions. DAS transforms optical fibres into a linear array of vibration sensors distributed over tens of thousands of kilometres, collecting infrastructure information around the clock. Many insights can be gained from analysing the vibration data, including monitoring track condition, warning of landslides and rockfalls, identifying safety threats and more. By upgrading to Sensonic's AI-enabled DAS monitoring hardware, it is possible to both process and classify data and events.
