In HAPADS project we will custom design and build a novel air monitoring platform (detectors, programmable devices, data acquisition, optimization model, integrated air pollution calibration models, analysis and user interface) with high accuracy (R2 > 0.91 for multi-pollutant detection), low cost (<500EUR), compact size (20cmx20cmx10cm), wider ranges of pollutant detection (5-800 μg/m3 for NO2, 1 to 10um for PMs), autonomy (self-calibration, self-optimization to balance quality vs. energy), being suitable for mobile solutions (can be deployed on trucks, cars, buses...), which, will enable end-users (drivers, transport companies, municipalities and the at-large public) to make information-driven decisions to mitigate air pollution exposure for personnel and to the public.

Fig. 1. HAPADS secondary objectives

Secondary objectives:

  • Novel detector design (microwave-based NO2 sensor and time-delay-integration (TDI) image-based particulate matter (PM) sensor) that can be used both in-vehicle and on-vehicle.
  • Novel Programmable multiprocessor hardware for data acquisition and signal processing with parallel edge computing and deep learning algorithms support.
  • Novel embedded software (air pollution calibration modelling and multi-objective optimization). Data quality of low-cost sensors is often questionable due to its geographical dependency, existing air quality Mobile Platforms (MPs) must be manually calibrated for a given deployment site, making them unsuitable for mobile deployment. HAPADS will devise and implement specialized embedded software for energy-efficient cognitive mobile MPs that are automatically self-calibrated for a new deployment location, enabling mobile deployment.