SensoRail is a device that can be attached to the Locomotive to detect infrastructural damage or potential failures in real time. These problems include Flat Wheel, bearings damage, couples disconnectivity, breaking system malfunctions and any kind of movements on the rail such as animals, rocks, falling trees and more. We intend to use advanced technology to give high accuracy measurement and alerts with no false alarms and monitor the railway by using the train itself.
Smart sensors and signal processing employed in SensoRail will detect different changes on the train carriage or the movement of the wheel on the rail, and through each sensor it will be possible to know what and where exactly the fault is, what risks may be involved accordingly, and how much time is left for the failure to affect the train or the rail and make danger.
Train Failures Covered by our Technology
RAILWAY FAILURES COVERED BY OUR TECHNOLOGY
SNOW ON RAILWAY
SOIL COLLAPSE ON RAILWAY
ANIMALS ON RAIL
DETECT FLOOD ON RAILWAY
ALERT ENGINEERS ON RAILWAY WHEN TRAIN APPROACHING
HOW IT WORKS?
The “SensoRail” device using different installation depends on the needs.
The sensor detecting any unusual sound and vibration coming through the railway in real time. Each sound wave will be unique and will be classified as a different failure.
The SensoRail sensors able to generate high audio frequency through the railway to detect failures between two sensor points, both sensors will generate and received these signals to process it.
SensoRail Top Features
WIRELESS SOLUTION NO WIRES NEEDED
CONNECT WITH CLOUD SERVER
RAIN AND FLOOD SENSOR
SMART ALGORITHM ANALYSIS IN REAL TIME
FORCE AND PRESSURE
HISTORY FOR ALL FAULT DETECED
NOISE CANCELLATION TO AVOID FALSE ALARMS
CALCULATE THE PERFORMANCE
LOW CONSUMPTION POWER
LOCATION OF FAILURE
This is a demonstration video on what SensoRail can do
Machine learning & Acoustic engineer
An actual rocket scientist with a huge background in creating solutions tacking critical problems in our daily life, Anwar working on the acoustic sensor side and machine learning algorithm that detect all abnormal sounds and type of the failures in real time.
Mohamad Eid Shalabi
Mohamad is a materials specialist of transmitting acoustic through the solids and friction roughness, using the right material is the core of this sensor, materials can act as a low pass or high pass filter, for allowing only transmitting low frequency we will use a material same as a human bone.
Sound Classification algorithm
Bassam the brain of the compnay as he is responsible for creating the core algorithm with Anwar, the algorithm that detects all hazards using advanced sound classification algorithms, each sounds that has a unique fingerprint and their own technique to be detected accurately
A Device that attached either to the railway or on the train body able to detect danger and risk that happen to a rail in real time, we use the most advanced technology that able to give high accuracy measurement and alerts with no false alarms.
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