Imagine if the internet cables already lying on the ocean floor could act like a giant nervous system for the planet. Instead of building expensive new sensors, this technology plugs into existing cables to feel the vibrations of an earthquake or a wave. It's like turning a telephone wire into a high-tech microphone that can hear a tsunami coming from miles away.
Current tsunami warning systems are too expensive for most countries to afford, leaving 700 million people unprotected. There is a critical need for a low-cost, rapid-deployment alternative.
A Tsunami Warning System (TWS) consisting of a long-range distributed acoustic sensor (DAS) interrogator and an AI layer for alarm triggering.
If you are a government agency dealing with the high cost of offshore sensors—this project developed a TWS product that is several orders of magnitude cheaper than current systems. It allows for rapid deployment by simply connecting an interrogator to existing fiber cables.
If you are a cable operator dealing with underutilized infrastructure—this project developed a DAS interrogator that adds a safety service to existing communication lines. This transforms a passive data pipe into a critical early warning tool with marginal extra cost.
If you are a port manager dealing with the risk of extreme sea-level events—this project developed an AI-driven alarm system that detects tsunamigenic activity. It provides faster response times than current systems to protect coastal assets.
The solution is described as being several orders of magnitude cheaper than current systems based on offshore sensors, as it utilizes existing fiber-optic infrastructure.
Yes, it targets the 700 million people in low-lying coastal areas and Small Island Developing States where fiber-optic cables are already available.
Based on available project data, specific licensing terms are not mentioned, but the project focuses on the development of a TWS product comprising a DAS and an AI layer.
Integration is simple; it only requires connecting an interrogator at the dry end of the existing fiber-optic cable.
The project achieved a DAS architecture that improves strain noise performance by at least a factor of 3 and extends the range beyond 80 km.
The consortium consists of 7 partners across 3 countries (ES, FR, PT). It is heavily weighted toward research and academia, with 4 research organizations and 1 university, while 29% of the partners are from industry (including 1 SME). This suggests a strong technical foundation with a growing focus on commercial transition.
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