Robust onboard equipment, with a high integration capacity, offers location, speed control, sensoring and information processing services, both in real time and through subsequent analysis.
Sensoring, maintenance, operation and surveillance:
- Positioning services
- Speed limit control services
- Monitoring services
- Efficient driving services
Real Time Location Systems (RTLS):
- Passenger and luggage location services
- VIP class access and control
- Real time incident reporting
- Simultaneous dissemination of information to groups of devices
Automated speed control:
- Warnings in the driving position and control centre alerts
- Driving support and operational monitoring support system
Monitoring through analogue and digital entry ports or surveillance through TCP/IP communication:
- Supplied by third party manufacturers
- Monitoring of events onboard vehicles: door opening, emergencies, etc.
- Monitoring of vehicle status variables (speed, position, acceleration, energy consumption, etc.)
- Monitoring of vehicle driving parameters (engine status, instantaneous power, etc.)
- Monitoring of passenger comfort (temperature/humidity in stations and carriages)
- Real time reporting to the control centre for automated operational management
Efficient driving
Efficient driving for energy saving, vehicle and rolling stock preservation, and schedule optimisation is a constant demand in the transport sector.
On the railways sector, for example, the gear optimisation solution based on actual historical data and on theoretical simulations (load flows) is of note. It comprises two elements:
- Onboard equipment, including a watt-hour meter and the measurement of other parameters such as pantograph status, speed and position.
- Off-line processing, based on train network load flows, which is able to use the data gathered by the onboard equipment to simulate different gears, finding optimal gears by minimising or maximising variables: consumption, preservation of material, operating speed.
- There is an option to include an interface in the cabin indicating the optimal gears to the driver.
Improved maintenance
An optimal maintenance algorithm can be developed using the onboard platform for monitoring different vehicle and rolling stock variables, in real time.
Analysis of actual usage times of onboard equipment to prevent faults and adapt prevention measures
- Design of efficient strategies for spare parts stock
- Statistics for additional and discounted costs with trend identification for maintenance optimisation
- Use of Big Data to identify hidden trends that reveal design faults or errors in assembly
- Real-time identification of dynamic variable imbalances that could predict defects
- Integration, adaptation and/or migration of existing commercial platforms