BTOB IOT & AI IN MOBILITY
Pantograph Condition
Monitoring System
for the Railway Industry
Pantograph condition monitoring can prevent catenary tearing incidents. Detect, analyse to prevent and act!
Predictive Maintenance
Yumain introduces an intelligent device that processes and analyses the state of the pantograph in real time and sends an alert when a fault is detected. This embedded AI sets a new standard for predictive maintenance and guarantees the end of catenary tearing incidents.
- Optimised and controlled maintenance costs: Very attractive sensor prices, 10x cheaper than other solutions. This enables the number of control points to be multiplied by 10, thus covering the entire rail network. Works on trains in service, so there is no need for manual inspection.
- Intelligent device: Yumain’s system uses an AI (Deep Learning) based architecture. Processing, analysis, and alert sending are done in real time.
- Plug and play: Simple installation and commissioning.
- Connected alarm system: Alert sent via 4G communication to any rail network operator.
- Data security: Alarm sent only when faults are detected. AI embedded in the sensor; the decision process is realised in the sensor.
Fault Detection
Automatic detection and identification of the train as soon as it passes under the sensor (train speeds can reach up to 160 km/h).
The following items are analysed:
Pantograph location (folded or unfolded) and counting
Pantograph Integrity Analysis: Absence/Presence of Horns and Offset
Analysis of the integrity of the friction strip: scales, cracks, and grooves
Homogeneity and thickness of the carbon slide plate
As soon as a fault is detected, an alarm is generated and sent to a rail network operator.
Default detected
Pantograph OK
Save Time and Money
The extremely compact size of the sensor makes it easy to install and integrate into the environment. Two sensors above each track are required for optimum performance.
Installation, calibration, and implementation can be carried out by 2 people and does not require any special equipment or machinery. As the tariff per measuring point is up to ten times lower than more complex solutions, it allows a multiplication of control points (e.g. station entrances) on the national rail network.
At each inspection point, the fixed sensor(s) capture high-resolution digital video images of each piece of equipment. At the same time, the engine number is also read automatically. Real-time analysis (< 5 minutes) is then performed, and an alarm is then generated if necessary, and transmitted by email.
Robust and Reliable
The automatic pantograph analysis device is based on combining the use of robust and mature algorithms, as well as filters applied by image processing.
The Yumain solution is designed to be robust and industrial to respond to the major problem of overhead lines being torn out by defective pantographs.
Edge Computing
Embedded Technologies Trophy
On January 19, 2021, the E.C.S. product, with its pantograph detection and analysis solution, won the Embedded Technologies Trophy in the IoT Industry and Services category. During the “Assises de l’Embarqué”, this Trophy was awarded to Yumain by CEA-List, a partner that has been with us since the beginning and recognised Yumain’s expertise in embedded AI.
About Yumain
Yumain develops AI solutions adapted to all sectors of activity, including the rail industry.
Our embedded or remote equipment and our algorithms using deep learning enable us to offer a range of solutions designed to optimise productivity and safety on site.
Counting, identification of anomalies, protection of people and installations are some of the possible applications of Yumain’s solutions.
Embedded artificial intelligence improves reliability and robustness, and reduces operating costs.
Intellectual Property
OCS2 is a French company supplying equipment in the railway sector and catenary installations.
To contact OCS2:
Manager:
Jérôme Anselme
Email: j.anselme@ocs2.com
Phone: +336 7928 9281
www.ocs2.com
For more information visit our Pantograph Detection and Analysis and E.C.S. pages.
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