New fiber optics tech smashes data rate record: « Expanded bandwidth yields a transmission rate of 402 terabits per second. »
Read Full Article
#FiberOptics #DataRate #Bandwidth #Technology #Innovation
Read Full Article
#FiberOptics #DataRate #Bandwidth #Technology #Innovation
IEEE Spectrum
New Fiber Optics Tech Smashes Data Rate Record
Expanded bandwidth yields a transmission rate of 402 terabits per second
🤯4🏆1
Lasers🔦, fiber optics🔗 and tiny vibrations🔊 tease a way to warn about earthquakes🌍💥
Read Full Article
#EarthquakeDetection #Lasers #FiberOptics #SeismicResearch #Innovation
Read Full Article
#EarthquakeDetection #Lasers #FiberOptics #SeismicResearch #Innovation
NBC News
Lasers, fiber optics and tiny vibrations tease a way to warn about earthquakes
Scientists were able to use the data from a fiber optic cable and a sensitive measuring device to “image” the Mendocino earthquake – determining the magnitude, location and length of the rupture.
❤1🤔1
Science News
Scientists developed a way of analyzing the vibrations of existing fiber cables buried underground alongside railway tracks to successfully identify a number of issues associated with train safety, including faulty train wheels and broken sound barriers Read…
🚄 New Railway Safety Tech: Fiber Optics Detect Train Faults
Researchers in China are using existing underground fiber optic cables along railway tracks to detect safety issues. The technique, called distributed acoustic sensing (DAS), analyzes vibrations in the cables to identify problems like faulty train wheels and broken sound barriers. This method offers continuous monitoring unlike traditional, point-based systems.
🧠 AI Powers Vibration Analysis for Enhanced Safety
AI models are crucial for filtering noise from the fiber optic signals and pinpointing vibrations associated with specific safety hazards. Experiments showed high accuracy in detecting faulty train wheels (up to 100 Hz vibration frequency compared to under 60 Hz for normal wheels) and damaged sound barriers (99.6% accuracy).
📈 Versatile Monitoring with Existing Infrastructure
The study, published March 5 in the Journal of Optical Communications and Networking, demonstrates the potential of using a single, existing fiber optic cable for multiple monitoring tasks. This "multipurpose use" reduces the need for new, expensive infrastructure and extra power supplies. Researchers achieved 98.75% accuracy in detecting train trajectories and 97.03% accuracy for detecting abnormal events like falling rocks or illegal construction.
#RailwayTech #AI #FiberOptics
Researchers in China are using existing underground fiber optic cables along railway tracks to detect safety issues. The technique, called distributed acoustic sensing (DAS), analyzes vibrations in the cables to identify problems like faulty train wheels and broken sound barriers. This method offers continuous monitoring unlike traditional, point-based systems.
🧠 AI Powers Vibration Analysis for Enhanced Safety
AI models are crucial for filtering noise from the fiber optic signals and pinpointing vibrations associated with specific safety hazards. Experiments showed high accuracy in detecting faulty train wheels (up to 100 Hz vibration frequency compared to under 60 Hz for normal wheels) and damaged sound barriers (99.6% accuracy).
📈 Versatile Monitoring with Existing Infrastructure
The study, published March 5 in the Journal of Optical Communications and Networking, demonstrates the potential of using a single, existing fiber optic cable for multiple monitoring tasks. This "multipurpose use" reduces the need for new, expensive infrastructure and extra power supplies. Researchers achieved 98.75% accuracy in detecting train trajectories and 97.03% accuracy for detecting abnormal events like falling rocks or illegal construction.
#RailwayTech #AI #FiberOptics