AI Article Synopsis

  • Light and active mobility, along with multimodal transportation, can play a vital role in reducing carbon emissions and improving air quality, which is essential for health and leisure.
  • The integration of low-cost, compact embedded systems like the BME688 sensor, used in wearables and solar-powered charging stations, helps create a distributed network to monitor air quality in real-time.
  • Initial experiments indicate that the BME688 is effective in assessing air quality, although factors like humidity significantly affect its readings, particularly in uncontrolled outdoor environments.

Article Abstract

Light and active mobility, as well as multimodal mobility, could significantly contribute to decarbonization. Air quality is a key parameter to monitor the environment in terms of health and leisure benefits. In a possible scenario, wearables and recharge stations could supply information about a distributed monitoring system of air quality. The availability of low-power, smart, low-cost, compact embedded systems, such as Arduino Nicla Sense ME, based on BME688 by Bosch, Reutlingen, Germany, and powered by suitable software tools, can provide the hardware to be easily integrated into wearables as well as in solar-powered EVSE (Electric Vehicle Supply Equipment) for scooters and e-bikes. In this way, each e-vehicle, bike, or EVSE can contribute to a distributed monitoring network providing real-time information about micro-climate and pollution. This work experimentally investigates the capability of the BME688 environmental sensor to provide useful and detailed information about air quality. Initial experimental results from measurements in non-controlled and controlled environments show that BME688 is suited to detect the human-perceived air quality. CO readout can also be significant for other gas (e.g., CO), while IAQ (Index for Air Quality, from 0 to 500) is heavily affected by relative humidity, and its significance below 250 is quite low for an outdoor uncontrolled environment.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11124976PMC
http://dx.doi.org/10.3390/s24103170DOI Listing

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