SOLUTIONS

Starting from data quality analysis, we can create a decision support system based on reliable information.
By developing our original algorithms, which combine fluid dynamics models with Deep Learning, we have consolidated a series of activities that can be performed automatically in real-time, radically improving the set of tools available to those responsible for managing integrated water systems:

SOLUTIONS
/ MONITORING DESIGN

We design network monitoring (for both water supply systems and sewage systems) in line with the priorities and resources of the operator.

We analyse the state of the art and propose the most efficient solution from both a technical and economic point of view, advising on optimal instrumentation and installation conditions.

SOLUTIONS
/DATA ANALYTICS

VALIDATION
Measurements are always affected by errors.
We analyse the quality of the data and verify its reliability.
CLEANING
We remove sources of error from the data, enhancing information that would otherwise be unusable.
RECONSTRUCTION
Measured data may be temporarily or permanently unavailable due to technical problems; we can reconstruct them using our Deep Learning algorithms.
VIRTUALISATION
After an appropriate period during which monitoring is active, we can replace part of the network instruments with virtual instruments that continue to provide reliable information, optimising resources and ensuring economic, environmental, and operational benefits.
FORECAST
After collecting data from measurements, we provide a forecast of future data by processing them through a predictive algorithm, such as an Early Warning System in line with the Water Safety Plans.

SOLUTIONS
/ HYDRAULIC MODELLING THROUGH AI

We perform hydraulic modeling using refined classical techniques enhanced by genetic algorithms typical of artificial intelligence:

We can achieve more accurate results by calibrating models much faster, saving valuable working hours.

SOLUTIONS
/ PROCESS OPTIMISATION

In optimising the various segments of the water treatment process, we use custom-developed algorithms to optimize electricity and chemical consumption.

This leads to significant cost savings, increased environmental efficiency of processes, and can extend the lifespan of various plant components.

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UNI EN ISO 9001:2015
UNI EN ISO 14001:2015
UNI EN ISO 45001:2018