Desenvolvimento de sistema iot para monitoramento de transporte de carga refrigerada.

Abstract

The barriers that previously limited the receipt and sending of mass data were dissipating as technological evolution brought with it a change of perspective in itself since the “domestication” of technology forced the industry to seek materials more and more compact, until the introduction of the cloud, which maximizes the performance of the tools as it does not use memory space for data processing. In the logistical context, for fleet control, there are ideas for solutions for optimization such as load distribution design software in the units, trackers for the exact location of the units, collection of historical data on the route of the units, sensors to identify the driving style, fuel consumption controls and detection of fluid levels and contaminant emissions. In view of the broad scenario of technology development to improve fleet management, an IoT fleet monitoring system is proposed specifically for refrigerated cargo. To implement this structure, Raspberry was chosen, which will be used as a gateway (connection element between the modules responsible for capturing information and the network servers); and by Esp32, which will be used as an end-device. The Thinger.io API was used to visualize the data and results were consistent with those measured by the sensors. , Fleet Management,Thinger.io