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    Smart air quality monitoring

    Environmental monitoring

air quality monitoring system

Detecting pollutants can prevent health issues in our communities and protect our environment

Air Monitoring is included in the more general environmental monitoring and involves the observation and analysis of data samples about chemical conditions (PM10, carbon monoxide, nitrogen dioxide, ozone, and sulfur dioxide), temperature, mold growth and humidity.

The locations for monitoring systems depend on the purpose of the monitoring itself. Most air quality monitoring networks are designed to support human health objectives, and monitoring stations are established in population centers, especially at locations of particular concern (for example near busy roads, in city centers). But monitoring systems also may be established to determine background pollution levels, so they’re located away from urban areas and emissions sources.

Benefits

  • to catch problems early before they cause long-lasting damages

  • to facilitate environmental planning methods

  • to automatize data reading and collection

  • to reduce maintenance and operations costs

  • to improve life quality

Air monitoring can be conducted:

  • both indoors and outdoors

  • at regular sites (fixed stations) on a continuous basis

  • at selected sites on an as-needed basis

  • on a temporary or seasonal basis

  • at random sites throughout an area

  • on an emergency basis

Air monitoring and SHM applications

Furthermore, air monitoring systems important to determine the external actions to which a structure is subject; for this reason, various air parameters such as wind, temperature, humidity, etc. are really important and can be considered an extension of a SHM system.

Air monitoring systems are commonly composed of: sensors, data acquisition systems (data logger), data transfer systems, data management systems and data analysis.

The analysis of collected data can provide essential information for the correct interpretation of those phenomena that cause changes in air quality thus being able to identify specific existing problems and set up specific pollution prevention programs.

IoT technology is ideal for this type of applications, where large volumes of digital data must be managed and it possible to access, collect, and analyze data real time and remotely, i.e., without being present on site to perform field inspections with human workers in the loop.

Data obtained by remotely monitoring system sets the foundation towards effective predictive maintenance approaches.

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