Project Overview

Project Title: SUSTAINABILITY AND FOR THE ENVIRONMENT TECHNOLOGY

This project is aimed at the development of a system that serves to stabilize the energy consumption in buildings with IoT and AI.

IoT Infrastructure and Platform Development

We designed and implemented a comprehensive IoT infrastructure to monitor environmental and energy-related parameters in real time. A custom software platform was also developed to process, store, and visualize the collected data, facilitating efficient energy management and insightful analytics.

Environmental Sensing and Data Acquisition

Deployed Sensors: The system employs temperature, humidity, light intensity, and CO2 sensors to collect detailed environmental data.
Monitoring Scope: Data is continuously gathered in real time from different indoor locations, enabling accurate assessment of environmental quality and energy-related patterns in the monitored spaces.

System Architecture and Communication

Hardware Integration: Sensors are integrated with microcontrollers and wireless communication modules (e.g., Wi-Fi, LoRa) for robust data acquisition.
Data Flow: Sensor data is transmitted securely to a cloud-based platform, where it is processed using machine learning algorithms to identify patterns and anomalies related to energy consumption.

AI-Based Energy Optimization and CO2 Impact Analysis

AI Application: AI models were developed and trained to predict energy usage trends and suggest optimization strategies for reducing unnecessary consumption.
Environmental Impact: The system evaluates the CO2 emissions resulting from current energy usage and proposes adjustments to minimize environmental impact.
Smart Decision Support: The platform provides actionable insights and recommendations to building administrators for smarter energy management and sustainable practices.