## 1 Introduction  
The reduction of energy consumption states is a key criterion forcing the optimization of the operating parameters of electric drive systems [1, 2, 3, 4]. Modern drive systems are most often extended by frequency converters, which constitute the superior system for setting operating parameters and monitoring the drive motor. In order to pay attention to energy saving, increasing efficiency, and reducing production costs, many countries around the world have established minimum efficiency performance standards for electric motors used in many applications, especially industrial ones [5, 6, 7]. For industrial motors, standard IEC 60034-30-1:2014 (Rotating electrical machines--Part 30-1: Efficiency classes of line operated AC motors--IE code) defines four efficiency classes: IE1--Standard Efficiency, IE2--High Efficiency, IE3--Premium Efficiency, and IE4--Super-premium Efficiency. The efficiency parameters of electric motors, which are identified by the IE code for energy efficiency classes, are measured with the new measuring procedures in accordance with IEC 60034-2-1:2014 (Rotating electrical machines--Part 2-1: Standard methods for determining losses and efficiency from tests--excludingmachines for traction vehicles). Thanks to the aforementioned measuring procedures, additional drive losses are determined with very high precision and according to a uniform standard for all manufacturers. The energy efficiency guaranteed by the IEC 60034-30-1:2014 standard defines the minimum efficiency value of the drive motor as a hardware component. The energy efficiency during the drive operation is also influenced by [1]:  
* Load parameters (depending on the application, including the mechanical load and its variability, ambient temperature, humidity, working conditions, nature and degree of load, degree of overload, connection method, etc. ); and
* Settings and operating modes of frequency converters (depending on the user experience and the characteristics of the required operating parameters of the drive, such as starting and braking ramps, operating modes, current limits, brake parameter settings etc.). The most energy-consuming stages in the operation of electric drives are transients in the phases of start-up, braking, and dynamic changes of the external load [8; 9; 10]. The build-up of magnetic fields and the reverse electromotive force (or the reverse electromotive force itself) during the drive start-up introduces transients into the electrical system. The formation of dynamic moments loading the drive shafts of machines causes a rapid increase in power demand. During the transient phase, high currents are required to be supplied to the motor, which can have a detrimental effect on the electrical supply system and other connected equipment [10]. The current and voltage are the basic parameters that determine the maintenance of the power reserve and torque on the motor shaft. On the other hand, the current intensity affects the values of thermal parameters and is the most common cause of damage to windings, insulation, and other components of electric drives and control devices (frequency converters). Industry 4.0 is related to gathering and processing Big Data related to operation of machines (a majority of them are driven by frequency-controlled electric motors). Standards of Industrial Internet of Things (IIoT) use edge computing methods to make the information transmission faster and more efficient. The authors' thesis is that a frequency converter equipped with an ethernet module may be used as an edge computing node. The device--during its operation--constantly collects big amounts of the supply and operational data with a milliseconds interval. It is supposed that the access to the data would allow one to determine the levels of energy consumption and control quality (the convergence of the specified and actual drive parameters). The frequency converter is programmable--the data may be mathematically processed.