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Real-time railway rail remote life / deterioration diagnosis system

Real-time railway rail remote life / deterioration diagnosis system

AI (artificial intelligence) -supported LSDS: Technology to prevent tunnel collapse accidents on highways and railways

 

Solve overlooked accident problems due to human error at once

End of contact, tapping sound inspection, ultrasonic inspection, and fluorescent penetrant inspection

 

AI (artificial intelligence) support / remote sensing type laser non-destructive inspection LSDS (Artificial Intelligence RealTime / in situ / fsLaser Stereo Dynamic Shearography)

 

1. 1. For remote sensing inspection of scratches, cracks, defects, and cracks in highway and railway tunnels

2. Ends the conventional contact-type tapping sound inspection, ultrasonic inspection, and fluorescence penetrant inspection, which rely on human-wave tactics and manpower. The AI (artificial intelligence) support function solves the problem of oversight due to human error at once.

3. 3. AI (artificial intelligence) -supported, three-dimensional Stereo Dynamic Shearography application that applies Laser.

4. From an ultra-high-speed moving object that moves at 2880km / h (800m / sec), the depth (depth) direction of the tunnel wall surface, scratches, cracks, defects, and cracks can be detected with AI (artificial intelligence) support in Real Time. Deterioration diagnosis, destruction prediction, and life prediction in situ.

5. From an inspection vehicle moving at 2880 km / h (800 m / sec), the inspection target (tunnel wall surface) within 300 km of the measured length can be examined in three dimensions with a time resolution of 80 million points per second and a spatial resolution of 6 μm.・ Femtosecond laser is used for tapping sound inspection, and scratches, cracks, defects, and cracks in the depth direction near the surface of the subject (tunnel wall surface) are detected with AI (artificial intelligence) support in Real Time / in situ. Non-destructive inspection for deterioration diagnosis, destruction prediction, and life prediction.

6. Proximity to measurement ~ 300km. Time resolution / measurement rate: 80 million points per second. Spatial resolution 6 μm. AI-assisted ultra-high resolution tapping sound inspection system that applies a three-dimensional femtosecond laser.

7. Deterioration diagnosis and life prediction in situ while driving mechanical parts, concrete, metal, rails, and trolleys based on non-destructive, non-contact, non-invasive 3D tapping sound maps.

8. Remote sensing of tunnel walls, etc. in situ and in real time from a running inspection vehicle (Doctor Yellow) while driving.

9. Non-destructive remote sensing inspection of tunnel walls with AI (artificial intelligence) support in situ and in real time while driving on the Shinkansen.

10. Non-destructive remote sensing inspection of tunnel walls and rails in situ and in real time with AI support while driving from train vehicles such as the running Shinkansen and linear Shinkansen.

 

[Keywords]

Linear Shinkansen Shinkansen Nozomi Doctor Yellow Inspection Tunnel Inspection Non-destructive Inspection Highway Linear Chuo Shinkansen Femto Second Laser Mechanical Parts Piston Concrete Metal Rail Carriage Tunnel Passenger Aircraft Wheel Axle Aircraft Aircraft Turbine Blade Fan Blade Fan Blade Fan Blade Aircraft Accident JAL Southwest Crack JAL Ways Engine Explosion Garuda Aircraft Takeoff Accident United Airlines Crash Landing Accident United States Federal Aviation Bureau National Transport Safety Commission NTSB Metal Fatigue Turbine Disc Engine Explosion Accident Delta Airlines Flight 1288 Translucency Inspection JAL Ways Flight 58 Cantus Airlines Flight 32 Burgen Airlines Flight 301 USA Air Force IFO-21 Flight Value Jet Airlines Flight 592 East Wind Airlines Flight 517 Garuda Indonesia Airlines Flight 865 Transworld Airlines Flight 800 Aero Peru Flight 603 TAM Airlines Flight 402 United Express Flight 5925 Ethiopian Airlines Flight 961 AI (Artificial Intelligence)

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