TY - GEN
T1 - Design of an Automated System for the Rocoto Selection Process Based on Color and Size
AU - Huayta-Uribe, Alem
AU - Mantari-Ramos, Lizbett Nattaly
AU - Solorzano-Pomachagua, Karolina
AU - Bravo-Villar, Jamil Fernando
AU - Ureta-Mata, Jhon Anderson
AU - Huamanchahua, Deyby
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - Conventionally, native Peruvian rocotos have a great diversity in terms of color, size, and shape, with red, orange, and green rocotos standing out. Also, their method for the selection process of this product is labor-intensive, bringing with it more costly productivity, the risk to the consumer's health, and uncertain reliability. Therefore, this research presents the design of an automated system for the rocoto grading process taking into account 2 main parameters: size and color. The system uses mechanisms for reading information through an HMI interface, which allows monitoring and control from the panel, for this, a PLC controller is used as the brain of the whole system, and for the simulation of the entire system is used the software Tia portal, Factory IO and LabVIEW. As a result, the correct and complete operation of the rocoto selection process was obtained, thus concluding the viability of this system and the development of new research.
AB - Conventionally, native Peruvian rocotos have a great diversity in terms of color, size, and shape, with red, orange, and green rocotos standing out. Also, their method for the selection process of this product is labor-intensive, bringing with it more costly productivity, the risk to the consumer's health, and uncertain reliability. Therefore, this research presents the design of an automated system for the rocoto grading process taking into account 2 main parameters: size and color. The system uses mechanisms for reading information through an HMI interface, which allows monitoring and control from the panel, for this, a PLC controller is used as the brain of the whole system, and for the simulation of the entire system is used the software Tia portal, Factory IO and LabVIEW. As a result, the correct and complete operation of the rocoto selection process was obtained, thus concluding the viability of this system and the development of new research.
KW - Tia Portal
KW - automation
KW - control
KW - factory IO
KW - monitoring
KW - rocoto
KW - sorting
UR - http://www.scopus.com/inward/record.url?scp=85148485344&partnerID=8YFLogxK
U2 - 10.1109/CompAuto55930.2022.00017
DO - 10.1109/CompAuto55930.2022.00017
M3 - Conference contribution
AN - SCOPUS:85148485344
T3 - Proceedings - 2022 2nd International Conference on Computers and Automation, CompAuto 2022
SP - 56
EP - 60
BT - Proceedings - 2022 2nd International Conference on Computers and Automation, CompAuto 2022
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2nd International Conference on Computers and Automation, CompAuto 2022
Y2 - 18 August 2022 through 20 August 2022
ER -