Indoor air quality (IAQ) is a major public health concern globally and is directly associated with respiratory and cardiovascular diseases. Children represent one of the most vulnerable populations due to their physiological development and breathing patterns.

Within this framework, Universidad Politécnica de Madrid launched a long-term research initiative aimed at continuously measuring pollutant concentrations in primary schools.

The objective was to generate reliable data on both occupied and non-occupied periods, enabling a deeper understanding of exposure patterns and supporting evidence-based recommendations for improving air quality in educational environments.

The project, developed under the Lime4Health initiative (2022–2026) and funded through research project PID2021-123023OA-I00, required a robust monitoring infrastructure capable of delivering precise, real-time, and longitudinal data across multiple indoor environments.

Ensuring scientific-grade measurement accuracy and continuous data availability over a multi-year research period represented the core operational challenge.

The solution included:

• Deployment of MICA Plus devices installed across selected primary school classrooms.

• Continuous monitoring of multiple environmental and pollutant parameters, including both abiotic and biotic contaminants.

• My inBiot Business platform to centralise data visualisation and management.

This configuration provided a stable and research-oriented monitoring infrastructure aligned with academic analysis requirements.