Planning a data platform, analytics system, or AI solution? Our team can help design scalable architectures and deliver production-ready solutions tailored to your business.
Client context
A global rail technology company headquartered in Germany, delivering integrated solutions that support transportation systems worldwide. Operating in an energy-intensive environment, the company relies on efficient resource management to maintain operational performance and control costs.
The challenge
The volatility of the energy market, combined with rising costs and potential consumption restrictions, created pressure to better manage energy usage across operations.
At the same time, the client lacked detailed insight into how energy and gas were consumed at the level of individual devices and production areas.
Without this visibility, it was difficult to:
- identify inefficiencies and energy losses
- control peak demand and power usage
- allocate costs accurately across departments
- define and measure the impact of optimization efforts
As a result, opportunities to reduce costs and improve efficiency remained largely untapped.
What it took to deliver results
To improve control and reduce costs, the organization needed a system that could:
- provide real-time visibility into energy and gas consumption
- track usage at the level of individual devices and installations
- support power demand control and prevent overloads
- enable cost allocation across departments and production units
- provide measurable insights into optimization efforts
The goal was to move from limited visibility to data-driven energy management.
The solution
A scalable energy monitoring system was introduced, combining an ADC-based data acquisition layer with a central application for data processing and analysis.
Custom measurement infrastructure was designed to capture consumption data from key power receivers as well as gas and energy connections.
The system integrates data collection, processing, and visualization, enabling a complete view of resource usage across the facility.
Analytical dashboards were developed to present insights in a clear and actionable way, supporting both operational monitoring and strategic decision-making.
The system combines hardware and software components designed for industrial environments:
- ADC (Autonomous Data Controller) for real-time data acquisition
- EFFECT_basic for data processing and system management
How it works
Data is collected directly from devices and installations using an Autonomous Data Controller (ADC), which continuously records energy and gas consumption.
This data is then processed and made available through a central application, where users can monitor usage patterns, identify anomalies, and track performance over time.
The system supports features such as power demand control and threshold monitoring, helping prevent overloads and manage peak consumption.
Dashboards provide a clear view of consumption across departments and production areas, enabling more accurate cost allocation and better operational control.
Impact on operations
The system introduced real-time visibility into energy and gas consumption, allowing teams to monitor usage and respond to inefficiencies more quickly. Operational control improved through better management of power demand and more accurate tracking of consumption across installations. Teams can now make informed decisions based on actual data rather than assumptions.
Business impact
The system delivered measurable improvements across key areas:
- Full visibility into energy and gas consumption, across devices and departments
- Improved cost control, through accurate allocation of energy usage
- Power demand management, reducing the risk of overloads and penalties
- Identification of inefficiencies, enabling targeted optimization actions
- Documented optimization results, supporting continuous improvement
- Reduced energy costs, through data-driven decision-making
We’ll review your goals, technical constraints, and opportunities to design a solution that fits your organization.




