CHARGEMENT
Monitoring of operating conditions

Public transport (Buses & Coaches)

Context

In passenger transport activities, the level of stress of bus and coach fleets requires efficient and responsive maintenance. Vehicles must be available and reliable during service hours to ensure the highest level of service and safety for travelers.

Due to the driving style, the state of the roads, the works, traffic jams, troublesome parking and other traffic incidents, there are many critical elements (engine, gearbox, axle bridge, braking, pneumatic circuits …) subjected to solicitations or events likely to deteriorate with a direct impact on the reliability and quality of service to users. An incident on a vehicle causing a service outage, however small, has important consequences on the operation of the network and the level of service.

It is therefore a matter of closely monitoring the reality of the health and usage of vehicles in order to understand how and under what conditions they are actually used to anticipate the maintenance operations as well as possible, but also to act on the level of service by reducing avoidable failures and finally, characterize abnormal events important safety.

Revealing the information that completes the understanding of the operational reality to guide decision-making and guide the actions that will lead to operational excellence throughout the journey, this is what SEQUANTA’s Smart Data solutions enable: combining Edge Computing’s embedded hardware with the power of the Cloud for exploration and analysis.

Related products

Overcome all IIoT barriers in harsh environments

With its smart data solutions, SEQUANTA brings IIoT to the next level!

Benefits

SEQUANTA low-power and wireless smart sata solutions provide crucial information on the health and conditions of use of buses and coaches for greater control of safety and the proper functioning of the operations. They also inform the real-time management of critical events for greater control over safety (e.g. repeated emergency braking situations).

The analysis of this information is a strong lever for improving the quality and performance of the service.

Real-time abnormalities detection

Detect, characterize and geolocate extraordinary events on vehicles and sensitive organs:

  • Process the data in situ to operate local control/command equipment.
  • Feed the information system and operating and maintenance processes in Smart Data.
  • Manage the periodic transmission of Smart Data to the cloud via a telecom/IoT network

Benefits

  • Characterize and locate the damages, incidents and abnormalities (stopping time, speed, emergency braking…).
  • Trigger corrective actions at the right time and in the right place.
  • Increase operational agility and act effectively on the operation.

Monitoring of driving conditions and comfort

  • Detect, characterize and geolocate the data as close as possible to the critical elements to monitor the parameters (vibrations, shots, accelerations, pitch, roll, etc.) necessary to characterize the real conditions of transport.
  • Power Smart Data monitoring operation (speed, acceleration, use of brakes, engine speed, idle time…).

Benefits

  • Build a precise knowledge of the driving styles of vehicles.
  • Obtain an exact vision of the type of land covered; and traffic conditions.
  • Objectify the comfort of journeys.
  • Complete programming models of preventive maintenance actions.
  • Guide the improvement of travel times and service comfort.

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