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IoT Technologies and Low-Cost Sensors for Monitoring PM2.5 Filtration Efficiency in HVAC Systems

keywords AEROSOL TECHNOLOGY, HVAC SYSTEMS, IAQ; COMFORT, PM, VENTILATION

Reference persons VINCENZO MARIA GENTILE, PAOLO MARIA TRONVILLE

Research Groups Aerosol technology

Thesis type DATA ANALYSIS, EXPERIMENTAL AND MODELING, MASTER THESIS

Description https://www.polito.it/ricerca/luoghi/infrastrutture-di-ricerca/aerosoltech
https://aerosoltech.polito.it/

The thesis aims to develop and validate an innovative IoT system for monitoring the filtration efficiency of fine particulate matter (PM2.5 and PM1) in HVAC systems. The project integrates advanced technologies and low-cost solutions to ensure reliability, economic accessibility, and ease of implementation.

Main Objectives:
- IoT Technologies for Continuous Monitoring: Implementation of a communication network based on LoRa technology for continuous long-distance data transmission.
- Use of Low-Cost Optical Spectrometers: Development and integration of sensors for measuring fine particulate matter (PM2.5 and PM1).
- Laboratory Calibration: Comparison of the performance of low-cost optical sensors with high-precision laboratory instrumentation to calibrate the measurement system.
- Hardware Prototyping: Design and development of an integrated system based on open-source hardware platforms like Arduino, creating a modular and replicable solution.
- Data Analysis and Performance Evaluation: Analysis of collected measurements to validate the system's effectiveness according to international standards for air quality and filtration efficiency.

See also  https://www.polito.it/ricerca/luoghi/infrastrutture-di-ricerca/aerosoltech


Deadline 02/01/2026      PROPONI LA TUA CANDIDATURA