The objective of this project was to develop a system that would allow remote monitoring, via Dashboards, of the weight of objects using IoT technology. For this purpose, a regular digital kitchen scale was adapted and connected to a wireless network.
The system implementation was carried out using the NodeMCU board, which is a development board based on the ESP8266 microcontroller. These boards were used to establish the connection between the scale and the wireless network, enabling the transmission of weight data.
The HX711 module was used as a high-precision analog-to-digital converter. It was integrated into the digital scale to accurately and reliably read weight data.
Furthermore, the MyQttHub Broker was used as an intermediary communication between the scale and the cloud system. This component allowed the publication of weight data to an MQTT topic, which is a lightweight communication protocol widely used in IoT applications.
Node-RED was used as a visual programming tool to create a flow and data visualization with a Web Dashboard. This flow allowed the integration between the adapted scale, the MyQttHub Broker, and the Amazon EC2 instance, which was used as a cloud server to process, store, and visualize weight data in web browsers.
Lastly, the IoT MQTT Panel application was used as an interface for weight data visualization, specifically designed for mobile devices. This application allowed users to remotely monitor real-time scale readings, providing convenience and practicality.
The result of this work was a functional wireless weight monitoring system that can be accessed and controlled through either the Node-RED Dashboard on the Amazon EC2 instance or the IoT MQTT Panel application. The system enables remote real-time monitoring of object weight on multiple devices and operating systems, offering an efficient and practical solution for users.
In summary, this work demonstrated the feasibility of using IoT to adapt a digital scale into a wireless weight monitoring system that can be used for various projects involving weight measurement and connectivity. The technologies and tools used, such as NodeMCU boards, HX711 module, MyQttHub Broker, Node-RED, Amazon EC2 instance, and the IoT MQTT Panel application, were effective in implementing the proposed system, providing satisfactory results that can be further improved in the future with Digital Signal Processing algorithms.
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