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SIWA Leak Finder enables efficient water supply at Servicios Txingudi (Spain)
AI-based solution for enhanced water network management
SIWA Leak Finder enables efficient water supply at Servicios Txingudi (Spain)
AI-based solution for enhanced water network management
Water
Servicios de Txingudi
Irun Spain
Servicios de Txingudi, Txingudi, is
a public utility company responsible for the water supply in the municipalities
of Irun and Hondarribia (Spain). Txingudi believes that proper water
management is defined by a commitment to the sustainability of the region and
the quality of life of its inhabitants. The company has an innovative approach
to technology and focus on end customers and the environment. When it comes to
water supply network management, an emphasis is placed in meeting present and
future needs of the region to ensure a safe and clean water supply. It was one
of the first water utilities in Spain to install smart meters (currently 40.000
of its water meters are smart) and to develop a
mobile phone app to communicate with its
customers.
Water
consumption in this area is dynamic, greatly impacted by tourism and weather
conditions. The water utility set new objectives to improve the efficiency and
visibility of water network management.
They were looking for a compatible tool that could meet its needs for growth, a
system with dynamic thresholds to detect and repair leaks quickly while
avoiding false positives and a system capable of recognizing seasonal
patterns.
Finally,
although the current network is divided into small DMAs, future plans existed to potentially create
larger DMAs. Larger DMAs could help to avoid water quality problems and to
improve network resiliency. An AI-based solution responded to all of these criteria.
SIWA Leak Finder
SIWA
Leak Finder (standard version) was implemented across the whole network
covering 285 km pipe length. Real-time mode was activated.
The
implementation was straightforward and simple taking less than a month. Data
from existing installed sensors (flow meters, pressure sensors, and chlorine
sensors) was sent automatically in a secure way to the cloud server. The
artificial intelligence algorithms were trained with a 3-week dataset.
The
tool processes following inputs: Sensor data (flow, pressure, chlorine),
Customer water meter data (daily readings), Average error data for each
customer water meter, GIS shapes
The
system is configured to detect following types of events: Leaks, Flow trend,
Chlorine, Pressure increase and decrease, Sensor failure, Missing data, Flow
increase and decrease
The
following KPIs are calculated automatically by the system for each DMA:
Performance, Infrastructure Leakage Index, Delivered Water, Registered
consumption, Water losses, Real and apparent losses, Average error, etc.
Scope of supply: Standard and advanced software versions were installed in the cloud. Sensors were already in place prior to implementing the tool. Water meters had been installed before implementing the tool.
SIWA
Leak Finder has been in operation since the implementation was completed in
January 2017. Since then, results include overall improved transparency of the
water supply network with over
10,000 events detected and solved, including
leaks, pressure problems, chlorine anomalies, sensor failures, data
transmission problems and theft.
The
daily water balance is calculated automatically by the
tool, making it easier for the network manager to view network health and
prioritize repair actions.
Artificial
intelligence recognizes any abnormal patterns and alerts the network manager.
The system also manages seasonal changes in consumption patterns, allowing
for dynamic changes as a
result of increased population in the
summer.
Servicios de Txingudi - Txingudiko Zerbitzuak (STTZ)