Aplicaci\'on de tecnolog\'ias IoT en el control y seguimiento de trasporte de carga terrestre

TL;DR

This paper presents a low-cost IoT-based telemetry prototype for real-time cargo truck monitoring, including weight and location, to reduce economic losses in land freight transport in Latin America.

Contribution

It introduces a novel IoT telemetry system integrating microcontrollers, GSM/GPS modules, and cloud services for real-time cargo tracking and monitoring.

Findings

Prototype successfully tracks cargo weight and location in real-time

System is efficient and low-cost based on preliminary tests

Enables remote access to cargo data from any internet device

Abstract

Freight transport of goods and raw materials is a central part of the supply chain in the commercial exchange in Latin America. Control and monitoring of this activity are vital for an efficient economic flow and, more importantly, without losing money. Most of the problems that generate financial losses occur in cargo freight by land. Losses due to changes in the weight of the payload to be transported or fuel/time losses due to capricious changes by the driver on the scheduled route. This work aims to demonstrate use of Internet of Thing (IoT) techniques to propose a prototype of a telemetry system to monitor in real-time the payload weight and location of a cargo truck and become a technological tool that supports the tasks of monitoring and control of the use of cargo trucks, and together with other logistics measures, leads to minimizing economic losses. The development of this project was based on the IoT architecture reference model: an ATmega32u4 microcontroller was used together with a SIM808 GSM and GPS module as the main component of the IoT Node. In addition, Amazon Web Services (AWS) tools were used as an IoT web platform and cloud data storage. The main result was a prototype of a telemetry system to track a cargo truck via the web; the weight and position data are accessible from any device with internet access through a website. Preliminary field tests have shown the proposed system to be an efficient and low-cost option.