IoT Circuit Design to Monitor Cold Chain Refrigerators
Universidad Tecnológica de Bolívar
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Under the concept of the Internet of Things, was designed a PCB to monitor faults in refrigerators or freezers, which use conventional compressors or non-inverters. It should be emphasized that these equipment belong to a cold chain, where it is considered approximately 2000 refrigerators. This solution includes among its main requirements Sigfox wireless communication, to send data or alarms from refrigerators or end nodes to the server in the cloud. One of the attractions to choose SigFox technology is its low cost as a communication service. Other aspects of design are: control the compressor, alert operational failures, measure the temperature inside the freezer, measure power consumption, voltage and current. Another fundamental requirement of the design is to achieve a low cost in its production to be in the margin of the sale of conventional temperature controllers, perhaps not equal, but not be well above the commercial value. With these premises, the hardware architecture is basically composed by a Switched-Mode Power Supply (SMPS), a control unit with a PIC32, 5VDC relays to switch an output of 220V AC, NTC temperature sensor, Power meter IC, battery charger, Sigfox communication module and E-Paper Display. © 2019 IEEE.
The authors would like to acknowledge the cooperation of all partners within the Centro de Excelencia y Apropiación en Internet de las Cosas (CEA-IoT) project. The authors would also like to thank all the institutions that supported this work: the Colombian Ministry for the Information and Communications Technology (Ministerio de Tecnologías de la Información y las Comunicaciones - MinTIC) and the Colombian Administrative Department of Science, Technology and Innovation (Departamento Administrativo de Ciencia, Tecnología e Innovación - Colciencias) through the Fondo Nacional de Financiamiento para la Ciencia, la Tecnología y la Innovación Francisco José de Caldas (Project ID: FP44842-502-2015). The authors would also like to thank Universidad Tecnológica de Bolívar for partial financial support with the project Design and Implementation of an Application Prototype for Predictive Control of Temperature in Logistic Cold Chains (Project ID: FI1607T2004).
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