Abstract
Maca is a natural product that is characterized as a hormonal regulator and food supplement. Produced only in regions with an altitude higher than 3,800 m, which creates great opportunity for its export. For the maca to be exportable it is necessary to apply drying procedures under the condition that it conserves its nutritional properties, whose drying time varies between 12 h and 6 days, according to the current standards. That is, the collection of real-time process data to monitor and control operations is by local network, but not connected in the cloud (IoT) according to Industrie 4.0 standard. Herein, we propose a system is configured by an S7-1200 PLC within a local network and a server, with remote access with user restriction, which allows sensitive process variables, such as absorption temperature and airflow, to be controlled remotely and in real time, such that they would avoid the alteration of the properties of the maca in the drying process. In addition, data from the process can be visualized simultaneously by telemetry and curves of drying the maca from the Web to be able to apply some type of intervention if necessary. Real-time graphs were obtained in the web server and after analyzing them, it was concluded that the data sent to the server are capable of being processed in order to generate a set of results and analyze the information obtained that will help future regimes of drying.
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References
Ríos, A.: Metabolismo de ácidos grasos en maca durante el secado en Horno. PUCP (2018)
Ministerio de Agricultura www.minagri.gob.pe. Accessed 27 Feb 2019
Guzman-Valdivia, C.: Design, Development and Control of a Portable Laboratory for the Chili Drying Process Study. Elsevier, Mexico (2016)
Cerviño, V.: Obtención y Modelado de Isotermas de Sorción de Caramelos “Gummy” de Batata. III Congreso argentino de ingeniería. Argentina (2016)
Martínez, A.: Construcción de un Secador Solar. IPL México (2007)
Industrie 4.0, https://www.siemens.com/customer-magazine/en/home/industry/one-step-closer-to-industrie-4-0.html. Accessed 24 Feb 2019
Boyes, H., Hallac, B.: The industrial internet of things (IIoT): an analysis framework, https://reader.elsevier.com/reader/sd/pii/S0166361517307285?token=10DE60A51676883ABDA389A80D17966B2A3F056BCF1CB64A451194A2F47213074DDB294A7DDCAB1083D12B52113530CC. Accessed 11 Mar 2019
Anticona, O.S., Ramos, J.: Implementación de un sistema de Supervisión, Control y Adquisición de Datos a Distancia en el Secador de Bandejas para Determinar la Influencia de la Temperatura en el Tiempo de Secado de la Papa. UNT Trujillo (2005)
Hermann, H., Pentek, T., Otto, B.: Design Principles for Industrie 4.0 Scenarios. In: 2016 49th Hawaii International Conference on System Sciences (HICSS), Koloa (2016)
Dávila Nava, J.R.: Estudio experimental del efecto de la porosidad de partículas sobre el proceso de secado en un lecho fluidizado a vacío empleando aire, Puebla: Universidad de las Américas Puebla, pp. 51–73 (2004)
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Nagaro, G., Koc-Lem, A., Vinces, L., Ronceros, J., Mesones, G. (2020). Acquiring, Monitoring, and Recording Data Based on the Industrie 4.0 Standard Geared Toward the Maca Drying Process. In: Botto-Tobar, M., León-Acurio, J., Díaz Cadena, A., Montiel Díaz, P. (eds) Advances in Emerging Trends and Technologies. ICAETT 2019. Advances in Intelligent Systems and Computing, vol 1066. Springer, Cham. https://doi.org/10.1007/978-3-030-32022-5_5
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DOI: https://doi.org/10.1007/978-3-030-32022-5_5
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