  The constant increase in the amount and complexity of information obtained
from IT data networkelements, for its correct monitoring and management, is a
reality. The same happens to data net-works in electrical systems that provide
effective supervision and control of substations and hydro-electric plants.
Contributing to this fact is the growing number of installations and new
environmentsmonitored by such data networks and the constant evolution of the
technologies involved. This sit-uation potentially leads to incomplete and/or
contradictory data, issues that must be addressed inorder to maintain a good
level of monitoring and, consequently, management of these systems. Inthis
paper, a prototype of an expert system is developed to monitor the status of
equipment of datanetworks in electrical systems, which deals with
inconsistencies without trivialising the inferences.This is accomplished in the
context of the remote control of hydroelectric plants and substationsby a
Regional Operation Centre (ROC). The expert system is developed with algorithms
definedupon a combination of Fuzzy logic and Paraconsistent Annotated Logic
with Annotation of TwoValues (PAL2v) in order to analyse uncertain signals and
generate the operating conditions (faulty,normal, unstable or inconsistent /
indeterminate) of the equipment that are identified as importantfor the remote
control of hydroelectric plants and substations. A prototype of this expert
systemwas installed on a virtualised server with CLP500 software (from the
EFACEC manufacturer) thatwas applied to investigate scenarios consisting of a
Regional (Brazilian) Operation Centre, with aGeneric Substation and a Generic
Hydroelectric Plant, representing a remote control environment.
