INVENTARIO DE MÁQUINAS EXPENDEDORAS USANDO UNA LPWAN

José Ignacio Vega Luna, Mario Alberto Lagos Acosta, Gerardo Salgado Guzmán, Víctor Noé Tapia Vargas, Francisco Javier Sánchez Rangel, José Francisco Cosme Aceves

Resumen


Resumen

Se presenta un sistema que permite visualizar desde la Internet el inventario de máquinas expendedoras de productos (vending machine) conectadas a una red de área amplia de baja potencia (LPWAN). El sistema consiste de tres nodos y una puerta de enlace o gateway. Cada nodo conecta una máquina expendedora con el gateway. En cada venta, el nodo transmite inalámbricamente al gateway el identificador del producto y la cantidad disponible del mismo. El gateway envía esta información a un servidor ubicado en la nube. El administrador de las máquinas puede visualizar el inventario de productos usando una interfaz de usuario que se ejecuta en una computadora conectada a la Internet. Cada nodo de la LPWAN se compone de un transceptor LL-RXR-27 y una tarjeta Arduino Due. La LPWAN se conecta al servidor de red ubicado en los servicios web de Amazon. La máquina expendedora más lejana se ubicó a 384 metros del gateway y el alcance de los transceptores fue 19 kilometros.

Palabras Claves: Arduino Due, máquinas expendedoras, puerta de enlace, red de área amplia, transceptor.

 

INVENTORY OF VENDING MACHINES USING A LPWAN


Abstract

This paper presents a system that allows to visualize from the Internet the inventory of vending machines connected to a low power wide area network (LPWAN). The system consists of three nodes and one gateway. Each node connects a vending machine with the gateway. In each sale, the node transmits wirelessly to the gateway the product identifier and the available quantity of the same. The gateway sends this information to a server located in the cloud. The machine manager can view the inventory of products using a user interface that runs on a computer connected to the Internet. Each node of the LPWAN consists of an LL-RXR-27 transceiver and an Arduino Due card. The LPWAN connects to the network server located on Amazon web services. The most distant vending machine was located 384 meters from the gateway and the reach of the transceivers was 19 kilometers.

Keywords: Arduino Due, gateway, LPWAN, transceiver, vending machine.


Texto completo:

1549-1566 PDF

Referencias


Gonchigsumlaa, K., Jigjidsuren, J. & Dorj, E., The Compared Analysis of Wireless Networks for Developing Internet of Things. 2nd International Conference on Information Science and Security (ICISS) Proceedings. Seoul, South Korea, Dec., 2015.

Dela, A. H., Navarro, N. A. & Roque, C. J., Fuzzy logic based replenishment system for smart paper dispensing machine. International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management (HNICEM) Proceedings. Cebu City, Philippines, Dec., 2015.

Gruen, R. & Liang, E., NuiVend-Next Generation Vending Machine. International Conference on Computational Science and Computational Intelligence (CSCI) Proceedings. Las Vegas, NV, USA. Dec., 2016.

Kim, K., Park, D. H. & Bang, H., Smart coffee vending machine using sensor and actuator networks. IEEE International Conference on Consumer Electronics (ICCE) Proceedings. Las Vegas, NV, USA. Jan., 2014.

Lin, F. C., Lee, & Hsu, C. H., Service Component Architecture for Vending Machine System in Cloud Computing Infrastructure. IEEE International Conference on e-Business Engineering, ICEBE '09 Proceedings. Barcelona, Spain. March, 2009.

Lo, A, Law, Y. W. & Jacobsson, M. A cellular-centric service architecture for machine-to-machine (M2M) communications. IEEE Wireless Communications. Volume: 20. Issue: 5, pp. 143-151, 2013.

Park, J., Kim, T. & Chung, Y., Design of remote management system with ZigBee. 12th International Symposium on Integrated Circuits, ISIC´09 Proceedings. Singapore, Singapore, Dec., 2009.

Park, Y. B. & Yoon, S. J., A comparison study of stock-out policies in vending machine systems. 2nd International Conference on Engineering and Industries (ICEI) Proceedings. Jeju, South Korea, Dec., 2011.

Roomi, S. M. & Jayanthi, R. B., Coin detection and recognition using neural networks. International Conference on Circuits, Power and Computing Technologies [ICCPCT-2015] Proceedings. Nagercoil, India, March, 2015.

Siebenhandl, K., Schreder, G. & Smuc, M., A User-Centered Design Approach to Self-Service Ticket Vending Machines. IEEE Transactions on Professional Communication. Volume: 56. Issue: 2, pp. 138-159, 2013.

Verma, G. Papreja, A. & Shekhar, S., Low power implementation of FSM based vending machine on FPGA. 3rd International Conference on Computing for Sustainable Global Development (INDIACom) Proceedings. New Delhi, India. March, 2016.

Wenshan, C., Yanqun, H. & Minyang, L., Influential Factors of Vending Machine Interface to Enhance the Interaction Performance. 8th International Conference on Intelligent Computation Technology and Automation (ICICTA) Proceedings. Nanchang, China. June, 2015.






URL de la licencia: https://creativecommons.org/licenses/by/3.0/deed.es

Barra de separación

Licencia Creative Commons    Pistas Educativas está bajo la Licencia Creative Commons Atribución 3.0 No portada.    

TECNOLÓGICO NACIONAL DE MÉXICO / INSTITUTO TECNOLÓGICO DE CELAYA

Antonio García Cubas Pte #600 esq. Av. Tecnológico, Celaya, Gto. México

Tel. 461 61 17575 Ext 5450 y 5146

pistaseducativas@itcelaya.edu.mx

http://pistaseducativas.celaya.tecnm.mx/index.php/pistas