Power and energy data analysis, processing and visualization, including data from building/energy management systems (BMS/EMS)

We provide these services via Internet from Poland. Therefore price of these services is reasonable low.

Data collected from various measurement systems, ie. SCADA/BMS/EMS systems, power meters and analyzers, should be analyzed to utilize the data, draw conclusions and reach solutions, and therefore to generate profits from often expensive measurement systems.

A dynamically developing market of metering systems gives a wide range of opportunities to create integrated systems allowing to analyze energy consumption in an enterprise. However, data recorded by tens, hundreds or even thousands of meters, energy analyzers and other measuring points are difficult to analyze due to their large amount.

We offer a service for the analysis and processing of measurement data in the field of energy consumption, including data collected for the cause of energy management. The service is aimed at supporting energy management in conditions of large amounts of data from meters and energy analyzers.


The aims of energy measurement analysis service are:

  • Relieving the employees of the engineering staff of the company by outsourcing the work needed for the fruitful use of measurement data,

and in relation to the data analysis:

  • Identification of the share of individual receivers (groups of receivers) in the total energy consumption (energy balancing), i.e. determining which receivers consume the largest amount of energy,
  • Determination of the load profile of receivers (groups of receivers), e.g. continuous operation with constant power, intermittent operation, performance requiring the use of power regulation,
  • Classification of energy consumption for permanent consumption (independent of production quantity) and variable consumption (depending on the production quantity),
  • Searching for unnecessary energy losses, ie. idling devices or unnecessary operation of devices in given time periods,
  • Determination of energy consumption during production shutdowns and analysis of these values separately for different production areas,
  • Searching for unnecessary load peaks that may cause excessive power consumption, as well as searching for energy losses of machine starts, which can be avoided using soft start devices,
  • Searching for ways to reduce the inductive reactive power factor defined as tan(fi), which is the ratio of inductive reactive energy to the amount of active energy, so that tan(fi) would be below the allowed value,
  • Searching for time periods and sources of capacitive reactive power, if this is significant,
  • Determination of energy efficiency of devices, if the determination of such a size is possible (ie. determination of energy consumption of compressed air systems expressed in [kWh/m3 of air] with comparison to typical values),
  • Correlation of energy consumption values with any measured parameters affecting this consumption,
  • Diagnostics of machines (detection of abnormal state) according to power consumption.


(PDF) Data analyzys