30 years

of experience

In-house developed

integrated development environment: VISION

400+

system integrators, partners

10.000+

applications

Deployed systems

receive signals from 10 millions of sensor points

20+

countries worldwide

distinguished partners

case studies

Energy scheduling for production optimisation

the primary interest of energy supply is to serve the customer without missing out
rationalising and optimising consecutive processes
15-20% cost reduction

10% reduction in energy prices due to forecasting

Retail and hospitality SCADA

Hotels and hostels
Shopping centres

60,000 electricity, gas and water meters in Auchan
220.000 data points in Auchan

Organisation of the Energy Community

Ensuring the availability of electricity that meets the user's requirements, which can be
as cheap as possible
as green as possible
with the highest possible availability

Optimising energy consumption and production

Taking into account actual and predicted weather conditions
- Exploiting renewable energy sources available in the area
Inclusion of territorial features (e.g. thermal water, energy storage facilities, etc.)
Designing a flexible user system
By creating energy community(ies)

Electricity schedule planner

used by MÁV ("Hungarian National Railways")
machine learning and artificial intelligence technology
Energy demand forecast with 5% accuracy, for a 1-week time interval, for each railwayline section
3330 supplying metering points on 110 supply sections
Measurement and prediction of regenerative braking energy feedback is about to be integrated with the current system
real time data from nearly 4,000 points are expected to be processed in the near future

Water and wastewater treatment SCADA

VISION SCADA is operating in more than 400 sites in Hungary
performs both analytical and action functions
maintenance management
automated monitoring and control
increased efficiency and reliability
enable alarms and emergency response
data collection and reporting
scalability and flexibility
remote access