Industry 4.0 Embedded Systems Network

Andramuño, J.; Vega, Nino; Parra, Pablo

doi:10.1109/chilecon47746.2019.8987620

Cited by 2 publications

(1 citation statement)

References 18 publications

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“…El tiempo de estabilización o respuesta en caudal es bueno con respecto a los que presentan en la comunidad científica, debido a que los valores son: 12s, 5.04ms y 1s a diferencia del tiempo de respuesta aplicando la arquitectura inteligente que se plantea, con la que se obtiene un valor de 37ms [30][31] [32].…”

Section: Resultados Y Discusiónunclassified

Intelligent flow and level sensors for a filtering system in a water treatment plant

Andramuño¹,

Córdova²,

Mendoza³

2020

Proceedings of the 18th LACCEI International Multi-Conference for Engineering, Education, and Technology: Engineering, Integrat

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Industrial sensors play a fundamental role in distributed control systems, and their increase in number and quantity of parameters involved in industrial processes, makes it necessary for these elements to evolve towards intelligent entities, which in addition to fulfilling more complex tasks, have a certain autonomy, which allows reducing the load on the control equipment, increasing the overall performance of the system. This research work proposes an intelligent sensor architecture, based on the BDI methodology, aimed at controlling the filtering system in a water treatment plant, for level and flow variables. The system design was projected using UML tools, and for the modeling of the smart sensor, Petri nets were used, which allowed the simulation, validation and verification of the system. The Modbus protocol for communications was adopted, and for the implementation the ATmega2560 microcontroller was used, which allowed to test experimentally the behavior of the intelligent sensor; response times and the values of the measured variables. The proposed Architecture allowed to develop an adaptable and flexible intelligent sensor in the industrial environment, with adequate performance and behavior, generating values and response times, in many cases better than other works found in the scientific literature.

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Section: Resultados Y Discusiónunclassified

Intelligent flow and level sensors for a filtering system in a water treatment plant

Andramuño¹,

Córdova²,

Mendoza³

2020

Proceedings of the 18th LACCEI International Multi-Conference for Engineering, Education, and Technology: Engineering, Integrat

View full text Add to dashboard Cite

show abstract

Deliberative architecture for smart sensors in the filtering operation of a water purification plant

Mendoza

Andramuño

Álvarez

et al. 2021

J. Phys.: Conf. Ser.

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The increase of applications for industrial smart sensors is booming, mainly due to the use of distributed automation architectures, industrial evolution and recent technological advances, which guide the industry to a greater degree of automation, integration and globalization. In this research work, an architecture for deliberative-type intelligent industrial sensors is proposed, based on the BDI (Belief Desire Intentions) model, adaptable to the measurement of different variables of the filtering process of a water purification plant. An intelligent sensor with functions of signal digitalization, self-calibration, alarm generation, communication with PLC, user interface for parameter adjustment, and analysis with data extrapolation have been arranged. For decision making, the use of fuzzy logic techniques has been considered, which allows imprecise parameters to be appropriately represented, simplifying decision problem solving in the industrial environment, generating stable and fast systems with low processing requirements. The proposed architecture has been modelled, simulated and validated using UML language in conjunction with Petri nets, which facilitate the representation of discrete system events, presenting them clearly and precisely. In the implementation and testing of the prototype, C/C ++ language has been used in an 8-bit microcontroller, experimentally corroborating the operation of the device, which allowed evaluating the behavior of a pseudo-intelligent agent based on the requirements of the water treatment plant, and also through comparisons with similar works developed by other researchers.

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Industry 4.0 Embedded Systems Network

Cited by 2 publications

References 18 publications

Intelligent flow and level sensors for a filtering system in a water treatment plant

Intelligent flow and level sensors for a filtering system in a water treatment plant

Deliberative architecture for smart sensors in the filtering operation of a water purification plant

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