The theme of master thesis was to cover issues of controlling the wastewater treatment plant, to introduce latest standards applied in design of graphical interface and design the set of fucntional and graphical objects. First parts focuses on listing of power devices, sensors used in wastewater plant and issues of its control, followed by HMI standards introduction. Practical part contents of configuration of control system, desription of functions with flowcharts. Subsequently the thesis covers specificall graphical objects and its connection onto functional blocks.

Made available in DSpace on 2014-12-17T14:55:25Z (GMT). No. of bitstreams: 1 GaudioVLB_Capa_ate_pag17.pdf: 9585869 bytes, checksum: 2c08182891dcc8649365bc6bb452f431 (MD5) Previous issue date: 2004-12-03 / This work proposes the specification of a new function block according to Foundation Fieldbus standards. The new block implements an artificial neural network, which may be useful in process control applications. The specification includes the definition of a main algorithm, that implements a neural network, as well as the description of some accessory functions, which provide safety characteristics to the block operation. Besides, it also describes the block attributes emphasizing its parameters, which constitute the block interfaces. Some experimental results, obtained from an artificial neural network implementation using actual standard functional blocks on a laboratorial FF network, are also shown, in order to demonstrate the possibility and also the convenience of integrating a neural network to Fieldbus devices / Esta disserta??o apresenta a especifica??o de um novo Bloco Funcional de acordo com o padr?o Foundation Fieldbus, implementando uma Rede Neural Artificial ?til em diversas aplica??es de controle de processos. Essa especifica??o inclui a defini??o do algoritmo central do bloco, que implementa uma RN, e das fun??es acess?rias de forma a prover seguran?a de opera??o, al?m da descri??o dos atributos do bloco, com ?nfase nos par?metros, que formam as interfaces do objeto. Apresentam-se tamb?m os experimentos que foram realizados a partir de uma rede FF de laborat?rio, em que se empregaram apenas blocos padronizados j? existentes, a fim de se verificar a possibilidade e a conveni?ncia de integra??o de algoritmos de RN em dispositivos de campo FF

Industrial automation is critical in today's industry. The majority of new scientific and technological advancements are either enabling technologies or industrial automation application areas. In the past, the two main forms of control systems were distributed control systems (DCS) and programmable logic controllers (PLCs). PLCs have been referred as the "brain" of production systems because they provide the capacity to meet interoperability, reconfigurability, and portability criteria. Today's industrial automation systems rely heavily on control software to ensure that the automation process runs smoothly and efficiently. Furthermore, requirements like flexibility, adaptability, and robustness add to the control software's complexity. As a result, new approaches to building control software are required. The International Electrotechnical Commission attempted to meet these new and impending demands with the new IEC 61499 family of standards for distributed automation systems. The IEC 61499 standard specifies a high-level system design language for distributed data and control. With the advancement of these technologies like edge/fog computing and IIoT, how the control software in future smart factory managed is discussed here. This study aims to do a systematic literature review on PLC, software containers, edge/fog computing and IIoT for future industrial use. The objective is to identify the correspondence between the functional block (IEC 61499) and the container technology such as Docker. The impact of edge computing and the internet of things in industrial automation is also analysed. Since the aim is to do a comparative study, a qualitative explorative study is done, with the purpose to gather rich insight about the field. The analysis of the study mainly focused on four major areas such as deployment, run time, performance and security of these technologies. The result shows that containerisation or container based solutions is the basis for future automation as it outperforms virtual machines in terms of deployment, run time, performance and security.