ARPAV (The Regional Company for the Prevention and Protection of the Environment) talked about us in their press conference about air quality improvement in Veneto region.
Trend shows a long-term study on PM10, PM2.5 and nitrogen dioxide, with significant reductions in the concentrations of these pollutants compared to the early 2000s. These improvements are result of an increased attention to this problem, with a better periodic monitoring, thanks to the use of our robots for weighing and conditioning air filters.

RedShift robots allow to analyze a greater number of samples produced by the control units from the whole Region. The agency is now able to to study pollution levels carefully, acting more promptly in case of need.

We studied the process to make fast and precise automated analysis. The system follows UNI EN 12341:2014 which regulates the acquisition and treatment of atmospheric particulate samples (PM10, PM2.5) on celluloses or fiberglass filter.

The system is integrated in a conditioned cabin to preserve filter integrity and data; it is composed by:

  • robotic arm
  • filter rack with 96 positions
  • handling tower with barcode reader
  • deionization area
  • weight scale (provided by the customer) on a separate table
  • web-based software provided with database and an easy data transformation following ARPAV procedures

The robotic arm can work in close contact with the operator, safely. If involved it freezes, then the system can be easily restored.

It is able to work in complete autonomy (24 hours – 7 days a week) thanks to an intuitive user interface software which save all data on a database and allows their download. The file format has been decided by the agency, following national procedures to compare data.

Filter sampling has been considerably reduced: average of 3 min per filter, 96 position (all rack) max 5 hours, depending strictly to a weight scale provided.

Read more here: ARPAV Bulletin from press conference (Italian only)

Related articles: Verona InIl mattino di PadovaVeneto Vox