HERA Group is a multi-utility, populated with 11 local utilities, in the north of Italy. Last year HERA Group accepted membership into the Leading Utilities of the World network and received a 'Golden Tap' award for performance.
HERA Group commissioned Isoil, to help further understand network dynamics and sensitivities, as well as reduce non-revenue water by using new, innovative technologies to interact with existing technologies.
Isoil, in turn, partnered with Rezatec, to deploy its pipeline risk assessment solution, combining satellite data with machine learning techniques, to produce likelihood and consequence of failure risk maps, identifying parts of the network at higher risk of failure.
“We’re delighted to have won the contract with HERA Group to implement Rezatec’s satellite technology to look at the likelihood and criticality of failure. HERA Group are one of the world’s leading utilities and are always at the front of innovation,” commented Luca Scansetti, Isoil.
By using Rezatec’s technology, HERA Group will be benefit from an advanced and data-driven approach to focus field crews on target areas, and for prioritising upgrades in areas of the network with the highest risk.
“We already have an advanced suite of technologies helping us to manage our water networks. We hope that Rezatec’s innovative satellite technology will bring further value to the HERA Group,” commented Galloni Emanuele, HERA Group.
Rezatec’s analytics has helped water companies to optimise leak detection activities to be up to 5x more efficient. From finding a single leak to finding 5 in the same period using recommendations of highest risk locations. Utilities can then target higher risk locations more accurately when deploying ground teams and sensors.
“Through expanding our technology footprint into Italy working with Isoil and HERA Group, we continue to demonstrate our excellence in providing satellite solutions for network operators,” stated Philip Briscoe, Chief Operating Officer at Rezatec. “Our mission is to help our clients make data informed asset management decisions to reduce leaks, improve margins, and optimise their overall asset management”.
