REACH - Energy Monitoring
Our custom-developed industrial data platform solution collects real-time data from sensors, PLCs, and other data sources to provide a comprehensive overview of energy consumption. The system not only processes raw time-series data but can also generate derived data through the transformation of raw data, offering valuable insights for optimizing energy efficiency and preventing energy waste.
Our solution covers numerous use cases:
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Improving energy efficiency in a manufacturing plant:
If a manufacturing plant installs sensors on various machines, the system could monitor the energy consumption of these machines in real-time. By processing the data, the company could identify that certain machines are consuming more energy than usual between maintenance cycles. This would allow the company to predict potential failures of some production machines in advance and, if necessary, establish more frequent maintenance cycles.
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Early detection of excessive consumption:
A food processing company using the system's threshold function could receive instant notifications when the energy consumption of the cooling system suddenly spikes. The automatic alert would allow the technical team to intervene quickly, preventing a costly shutdown.
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Increasing energy efficiency in building management:
An operator of a large commercial center, using the solution, could monitor the energy consumption of the building's heating and cooling systems and detect that the air conditioning units consume significantly more energy on a hot summer day. Based on the integrated data, it could be easily identified that the increase is due to improperly set temperature controls. With the help of the system, the operator could reduce energy consumption by adjusting the temperature to optimal levels.
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Optimizing lighting systems in a logistics center:
In a logistics center, the system could track the energy consumption of the lighting systems at different times. By using the solution, they could notice that certain areas have lights operating unnecessarily during the night shift when there is no active use. Based on the system's alerts, they could optimize the lighting schedules and use automatic sensors to turn off the lights, leading to significant energy savings.
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Optimizing cooling systems in a pharmaceutical factory:
In a pharmaceutical factory, where large quantities of products requiring cooling are stored, our solution would enable continuous monitoring of the cooling systems. If the system's alerts indicate uneven energy consumption, the technical team could easily identify the cause of temperature fluctuations and intervene in time, minimizing energy consumption while preserving product quality.
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Improving the efficiency of district heating systems on a university campus:
On a university campus where multiple buildings are heated by a central system, the solution would allow real-time monitoring of the energy consumption of each building. If the system's alerts show that one building's heating consumes more energy than usual, the causes—such as an outdated heating unit or insulation issues—could be easily identified. With regular maintenance and repairs, significant energy savings could be achieved.