Automation system for the cleaning of yellow corn in the company 'Inversiones Santana'

Haru Helen Mallco-Segura, Yanira Malena Chavez-Esteban, Samir Genoary Rojas-Santana, Ivan Llactahuaman-Rodriguez, Jhon Rodrigo Ortiz-Zacarias, Herbert Antonio Vilchez-Baca

Producción científica: Libro o Capítulo del libro Contribución a la conferenciarevisión exhaustiva

2 Citas (Scopus)

Resumen

The demand for yellow corn according to the Ministry of Agrarian Development and Irrigation Midagri in the period 2020, Peru had an annual growth of 4.9%, having a national production of 1.2% of which had to import 3.7%. This work develops the classification of corn grains separating impurities to improve production times in the company 'Inversiones Santana'. For the simulation of the classification of corn grains with impurities, the Factory IO and TIA Portal software was used, where a vision sensor sends to the interactive screen of HMI, to then see the production time in the Anylogic software, for which a working time of 8 hours and 13.8 minutes was obtained initially without the automation proposal. Finally, implementing the improvement proposal, we obtained a recognition for the classification of corn grains to 100% of impurities, improving the production of 120 bags of corn, to be done in 5 hours and 3 minutes, improving by 38.92% the work processes.

Idioma originalInglés estadounidense
Título de la publicación alojadaProceedings - 2022 International Conference on Mechanical, Automation and Electrical Engineering, CMAEE 2022
EditorialInstitute of Electrical and Electronics Engineers Inc.
Páginas50-56
-7
ISBN (versión digital)9798350346572
DOI
EstadoIndizado - 2022
Evento2022 International Conference on Mechanical, Automation and Electrical Engineering, CMAEE 2022 - Virtual, Online, China
Duración: 16 dic. 202218 dic. 2022

Serie de la publicación

NombreProceedings - 2022 International Conference on Mechanical, Automation and Electrical Engineering, CMAEE 2022

Conferencia

Conferencia2022 International Conference on Mechanical, Automation and Electrical Engineering, CMAEE 2022
País/TerritorioChina
CiudadVirtual, Online
Período16/12/2218/12/22

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Publisher Copyright:
© 2022 IEEE.

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