Department Process Engineering

Automated sensor integration, data processing and monitoring for environmental research

Overview

Maia is the data platform of the SensorLab at Eawag. It handles the entire journey of sensor data – from field collection through decoding and quality control to delivery for analysis. The SensorLab operates Maia as a service for research: scientists can focus on analysing their data without having to manage technical infrastructure.

What Maia Does

Sensor Integration

• Maia supports over 30 sensor types from various manufacturers. New sensor types can be integrated into the platform within a few hours. Data enters the system automatically via different pathways – whether through LoRaWAN radio, MQTT, REST interfaces, PLCs or file upload.

Data Processing

• A multi-stage processing pipeline ensures that raw data is automatically decoded, normalised and prepared. Researchers can access raw data, decoded values or quality-checked measurements depending on their needs.

Monitoring and Operations

• The SensorLab monitors the status of all connected sensors and the entire data processing chain. Automatic alerts are triggered in case of outages, data gaps or quality issues – ensuring consistently high data quality.

Access for Researchers

• Through a modern web interface and a standardised API, researchers can view, visualise and download their sensor data for further analysis.