CAP has chosen to deploy the most advanced technologies to face the challenges of the future. In particular, with the Kando project, thanks to artificial intelligence, the company is committed to identifying illegal discharges. "Electronic noses", IOMS (Instrumental Odour Monitoring System), detect odour emissions to limit the inconvenience to the communities served.

 

In more detail

Launched in some points around Pero, the project involves the installation of continuous probes capable of analysing various parameters along the entire sewer network.

The system is based on the innovative technology developed by Kando, based on an Early Warning approach, and allows the presence of pollutants in waste water to be detected in advance.

Therefore, by leveraging a prevention and control system, these devices guarantee a better ability to anticipate pollutants and the possibility of rapidly identifying irregular discharges.

Kando is an artificial intelligence (AI) system, based on a complex database and specific dynamic learning methods of the measured values, capable of identifying events of possible contaminating impact and sending an activation signal to automatic samplers positioned along the sewer network.

From the analysis of each parameter, a specific pollution index is identified which, through the correlation and self-learning of the application, allows immediate identification of any episodes of contamination, to proceed promptly with the interventions.

To monitor odours, CAP has installed "electronic noses" called IOMS (Instrumental Odour Monitoring System) at some purification plants. These are advanced odour measurement and recognition devices that simulate the mental process of memorizing and recognizing the human olfactory system.

The systems installed were then "trained" to be able to monitor, by measuring them in terms of olfactometric units, the odour emissions of the plants and specific pollutants, so as to photograph the real odour emission situation and monitor the concentration of odour coming from the perimeter of purification plants.

The use of this measurement technique aims to classify the odour, memorizing the fingerprint of the sample which is the result of a mixture of countless compounds, so that it is comparable with that of other samples.