Engineering an IoT Ecosystem: The E-CO Smart Plant Monitoring System

E-CO Vaso Inteligente

Camila Rody developed the E-CO Vaso Inteligente as a comprehensive Information Systems capstone project. The system integrates hardware sensors with a web dashboard to automate irrigation and capture plant imagery.

Why This Matters

The project highlights the gap between theoretical software models and physical hardware deployment. While ACID compliance in MariaDB ensures data consistency, the physical layer introduced unpredictable variables—such as power supply limitations with relays—forcing a pivot to transistor-based control to achieve stable component activation.

Key Insights

• Hardware Integration: Used NodeMCU ESP8266 for sensor polling and Raspberry Pi for image acquisition (2026).
• Decoupled Architecture: Implemented a Vue.js frontend separated from a Laravel backend via APIs to increase maintainability.
• Data Consistency: Utilized MariaDB for its adherence to ACID principles during simultaneous sensor logging and user configuration updates.

Practical Applications

• Automated Agriculture: Using soil moisture thresholds to trigger water pumps via solenoid valves. Pitfall: Relying solely on relays without considering power architecture, leading to circuit instability.
• Remote Environmental Monitoring: Integrating geolocation data with local sensor readings for climate context. Pitfall: Skipping initial UML modeling (Use Case/Class diagrams), which leads to significant code rework during integration.

References:

• https://dev.to/camilasrody/como-desenvolvi-meu-tcc-de-sistemas-de-informacao-um-vaso-inteligente-para-monitoramento-e-53i