Reference Waveforms Using the Control Software Applicationi in the Labview Environment
Milan Simic, Goran Miljkovic, Dragan Ã…Â½ivanovic, Dragan Denic, Zivko Kokolanski
Journal of Networking Technology, Vol. 14, No. 3, 2023.
DOI: https://doi.org/10.6025/jnt/2023/14/3/61-67
Link: https://www.dline.info/jnt/fulltext/v14n3/jntv14n3_1.pdf
Abstract:
We have outlined the software-based evaluation of electrical power quality parameters in the Wireless Sensor Network settings. The proposed components include the reference waveforms, a software application for the measurement of standard PQ parameters and two microcontroller-based wireless sensor modules for transmission. The quality parameters are used to reference functions with the control software application in the Lab environment. We have used the IEEE standard 802.15.4 protocol for transmission. According to the Guide to the Expression of Uncertainty in Measurement, the procedure for calculating Type A, Type B, combined and expanded measurement uncertainty, is supported using professional instrumentation with high accuracy levels. Metrological evaluation of a supported experimental system based on wireless sensor network (WSN), applicable in the measurement of electrical power quality (PQ) parameters and disturbances, is presented in this paper. The system includes a based generator of reference waveforms, a software application for measuring standard PQ parameters and two microcontroller-based wireless sensor modules for transmitting and receiving measurement results. Measures of basic quality parameters for reference waveforms are performed using the control software application in the LabVIEW environment. Wireless sensor networks are based on the communication standard IEEE 802.15.4 (Zigbee). Metrological assessment includes calculating measurement uncertainty components and the final presentation of measurement uncertainty budget. The procedure for calculation of Type A, Type B, combined and expanded measurement uncertainty, according to the Guide to the Expression of Uncertainty in Measurement, is supported using professional instrumentation with high accuracy levels.