SmartVision RCMS Main Applications

SmartVision™ Main Applications

SmartVision™ Main Applications

The main functions of the SmartVision™ RCMS are described below. For an overview of SmartVision™ please click here.


The SmartVision™ Online Monitoring function enables operators to receive information from their rolling stock fleets and visualize it in real-time.

The control center, work planners and maintenance staff are continuously informed about the status of the trains and potential technical issues. The staff can take actions instantly to fix the problems, limit their impacts on the operations as well as give the proper instructions to the driver even before he notices the problem.

Maintenance activities are expedited as the service personnel receives in advance information about issues which need actions.

Thus, the maintenance scheduling and resource allocations are performed much faster, reducing service disruption and increasing both safety and operational efficiency.

Significant benefits can be expected by monitoring the most maintenance-intensive systems such as doors, air-conditioning and brakes. However, SmartVision™ allows the online monitoring of virtually any train system or information. This means you can freely pick the information you need to collect to meet your needs.

The most common Online Monitoring functions are:


Fleet/train status dashboards

Centralized faults and alarms

Fault filtering and analysis tool

Task assignment and scheduling

Standardized support procedures

User and role management

Integration to Maintenance Management System with automatic or semi-automatic ticketing.

Example of SmartVision™ Online Monitoring Dashboard
Example of SmartVision™ Online Monitoring Dashboard with integration of data from other backend systems


SmartVision™ Condition Monitoring enables the operator to convert the data collected from the fleets via the online monitoring into additional diagnostic information.

Additional sensors can be added to the trains if the existing equipment are not capable of measuring some parameters, for example temperature or vibration, to detect slowly progressing faults through trend curves.

A typical approach to the development of an optimised maintenance process is to start with categorization of the historical fault database to identify the faults with the most critical consequences in terms of safety or operational costs.

Through a root cause analysis, it can be possible to detect temporal event sequences or changes in physical conditions, which give early warnings of the development of these faults.

By using the SmartVision™ Predictive Script Analytics tool to analyze the data stream from the trains to detect these occurrences and to generate warnings, appropriate maintenance actions can be initiated in advance before the actual fault occurs.

For example, an HVAC system not providing enough cooling with abnormally high power consumption could indicate filter congestion.

SmartVision™ Condition Monitoring include:

Predictive Script Analytics on live and history data

Anomaly detection on live and history data

Interface to external big data analytics

Utilization of analysis algorithms

Real-time data screening to detect change of condition

Adjustable limits for warnings and alarms

Trend curves

Receive, process and visualize measurement signals, e.g. vibration measurement

Example of SmartVision™ Predictive Analytics Script Builder


SmartVision™ Predictive analysis takes condition monitoring one step further by using advanced algorithms and analytics to predict likely remaining useful life of units.

The remaining useful lifetime estimates can be calculated for those components where the historical data collected from the trains indicate that the condition degrades against time or service cycles.

When performing preventive maintenance, replacing parts too early may unnecessarily shorten parts lifetime and increase costs.

However, if waiting too long, the component may experience failure and incur costly corrective maintenance and possible disruption in operations.

Predictive maintenance aims at reaching the smallest cost possible, the optimal cost.

Seeking the optimal cost by implementing predictive maintenance


The SmartVision™ Trains on Map application enables you to visualise your rolling stocks on a map in real time. Important train statuses and alarms can be displayed on the map, for instance with color codes for critical information.

It is both a geo-localisation tool and a diagnostic tool. In addition, specific train information can be accessed by clicking on any rolling stock on the map.

The diagnostic information displayed and the graphical user interface can be tailored to your needs.

Example of SmartVision™ Trains-on-map Application. Train Level View can be accessed by clicking on desired trainset.
Example of SmartVision™ Train Level View


The SmartVision™ Driving Assistance application instructs train drivers to apply a driving mode, which optimizes the energy consumption and time schedule management according to the selected profile.

The right balance of acceleration, free rolling and breaking is calculated based on the online diagnostics data retrieved from the trains, location data, track data and time schedule data.

The energy consumption, while keeping the time schedules, can thus be optimized and significant savings achieved.

Common features include:

Measure energy consumption by work shift and line end-to-end combined with environment data

Calculate optimal driving profile to optimize energy consumption within time schedule

Visualize momentary speed, distance, time, deviation from schedule and energy consumption

Send driving instructions to train drivers’ displays

EKE-Electronics Ltd
Piispanmäentie 5
02240 Espoo
Tel +358 9 6130 30