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dc.contributor.authorMendoza, Eduardo
dc.contributor.authorAndramuño, Joselyne
dc.contributor.authorCordova, Luis
dc.date.accessioned2020-08-17T03:07:59Z
dc.date.accessioned2022-02-22T12:12:13Z
dc.date.available2020-08-17T03:07:59Z
dc.date.available2022-02-22T12:12:13Z
dc.date.issued2020-07
dc.identifier.isbn978-958-52071-4-1
dc.identifier.issn2414-6390
dc.identifier.otherhttp://laccei.org/LACCEI2020-VirtualEdition/meta/FP424.html
dc.identifier.urihttp://dx.doi.org/10.18687/LACCEI2020.1.1.424
dc.identifier.urihttp://axces.info/handle/10.18687/20200101_424
dc.description.abstractIndustrial 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.en_US
dc.language.isoEnglishen_US
dc.publisherLACCEI Inc.en_US
dc.rightsLACCEI License
dc.rights.urihttps://laccei.org/blog/copyright-laccei-papers/
dc.subjectSmart Sensoren_US
dc.subjectArchitectureen_US
dc.subjectModeling Languageen_US
dc.subjectPetri Neten_US
dc.subjectBDIen_US
dc.titleIntelligent flow and level sensors for a filtering system in a water treatment plant
dc.typeArticleen_US
dc.description.countryEcuadoren
dc.description.institutionUniversidad Catolica de Santiago de Guayaquilen
dc.description.trackEngineering Design, Engineering Materials and Engineering Innovationen
dc.journal.referatopeerReview


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  • 2020 LACCEI - Virtual Edition
    The Eighteen LACCEI International Multi-Conference for Engineering, Education Caribbean Conference for Engineering and Technology.

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