MONITORING AND CONTROLLING OF INDUSTRIAL AUTOMATION SYSTEM CONSIDERING VAGUE INPUTS

Nasser Jazdi¹; Vicente Ferreira de Lucena Junior²

¹ University of Stuttgart - Institute of Industrial Automation and Software Engineering; ² PPGEE - Universidade Federal do Amazonas

Baixar PDF doi:10.20906/CPS/CBA2018-0443

Resumo

This paper presents a new model for controlling and monitoring Industrial Automation Systems. The architecture of this model does not limit it to be connected to only one specific system but makes it able to be adapted to different automation systems as well as reused for new ones, packing any industrial communication protocol. The basic components have their hardware and software described, as well as the interfaces with the users, with the automation system, and between components. Thus, the proposed structure is presented and later it is shown how it is possible to reuse this system for other applications. Another aspect of the approach is to deal with uncertain statements of the user. It allows the application to interpret these inputs. Furthermore, the application learns, over time, how to better interpret user preferences and behavior patterns.

Palavras-chave: Neuronal Networks; Fuzzy; Uncertainty; Machine Learning; Industrial Automation HMI