SANTOS, R. M. S.; http://lattes.cnpq.br/1901513397319503; SANTOS, Rafael de Melo Silva.
Resumen:
This course work consisted in designing the human-machine interface (HMI) which
integrates the partial discharge monitoring system to be used in substations of electrical
systems. This project is part of a larger project developed in cooperation between the
Universities of Huddersfield and Strathclyde in the United Kingdom (UK) and UFCG in Brazil.
For the HMI development it was adopted the Design Method for Ergonomic Interfaces (MCIE),
which was developed in the Human-Machine Interfaces Laboratory (LIHM) at the Federal
University of Campina Grande (UFCG), and was taught in the discipline Industrial Informatics
at the Electrical Engineering Undergraduate Course at UFCG. The HMI project aims to provide
the users with resources for: configuring the monitoring environment in a supervisory software;
facilitating data input which originates from a set of radiometers and, to display the status of
devices monitored by radiometers. The radiometers were developed by the UK team, and are
used as partial discharge sensors. The sample data from radiometers used in the construction
and testing of HMI was provided by the UK team, in an Excel file, and resulted from
experiments with radiometers. These data, acquired during field tests is processed in Matlab /
Simulink using an algorithm developed by the UK team, in order to provide the intensity and
estimated location of partial discharges inside the electric equipment ina a substation. The HMI
component was developed using the IWS tool associated to to InduSoft Web Studio supervisory
system. Communication between the supervisory system and Matlab was performed using the
OPC protocol (OLE for Process Control). Data acquired from the radiometers are stored in
Access files. The HMI developed allows to configure the monitoring environment based on the
incoming data, generating screens to display the discharge levels in partial monitored
environment; sending alarms and calculating the probable location where levels exceed safe
limits. The HMI was tested using the sample data provided by the UK team.