A prototype developed in ProteinLab UTEM for a tracking system and parametric control for light transport loads that require cold chain fulfillment validation in the interdisciplinary work between engineering and design is presented in this article. The work is performed using fast prototyping development boards, such as Arduino MEGA, a communication shield FONA808, and sensors associated with variables such as temperature and humidity, and the recorded data are sent to the IO.Adafruit.com platform in the cloud. The information is displayed in a dashboard and stored for later export and analysis. The use of these development boards optimizes the incorporation of compatible sensors that allow for a registry of variables that are relevant for future system requirement modifications, such as weight or impact sensors. Finally, the prototype development contemplates the concept of the final product being prepared for testing with end-users as part of the working methodology of ProteinLab UTEM, Center for Technological Innovation, which explores the different methods for comprehensively addressing current technological challenges.
Arduino, adafruit IO, cloud, FONA808, GPS, GPRS, Internet of the things, light-duty vehicles, sensorsArduin, IO.Adafruit, nube, FONA808, GPS, GPRS, Internet de las cosas, vehículos menores, sensores
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