SILVA, EDIVALDO.; EDIVALDO, SILVA.; http://lattes.cnpq.br/3068065936797412; SILVA JÚNIOR, José Edivaldo da.
Résumé:
The definition of exception parameters and data compression for the PI System
is intended to optimize the compression and storage of industrial data. In order to
adjust the settings of both algorithms, they were replicated and validated in a data
analysis environment and used as a simulation environment. In this environment,
numerical experiments were performed for the data compression process applied in
the PI System. Sensitivity analyzes for both exception and data compression
algorithms were performed, adopting statistical metrics to assess the reconstruction of
data from compressed data. A flash tank simulation for a mixture of hydrocarbons was
built in SimCentral process simulator. A control loop for the level fraction was defined
and data collected from this variable underwent compression process analysis.
Statistical control charts for mean and amplitude were constructed for tank level under
two operating conditions. These charts were used to verify the impacts of the exception
and data compression on conclusions obtained from the control charts. The analysis
of the performance of both algorithms in a simulation and analysis environment allowed
the definition of adjusted parameters based on the intervals defined by the indicators
used. The result obtained for the tank level data compression was satisfactory, the
pairs ExcDev and ExcMax for exception and CompDev and CompMax for compression
were defined, reaching mean square error of 0.000638% and reducing 80% of the
original points. From the use of 20% of the points, the reconstructed data were able to
maintain the statistical conclusions shown from the raw data. It was found that the
statistical indicators were crucial in defining the parameters, as they delimited the
acceptable limits of data exclusion, keeping the necessary information to maintain the
statistical conclusions
