McWane has launched a new hydrant-based water monitoring platform designed to provide utilities with real-time visibility into network performance, helping operators identify leaks, pressure anomalies and other operational challenges.
The new iHydrantPlus platform builds on McWane’s existing iHydrant technology, combining acoustic leak detection, pressure monitoring, temperature sensing and machine learning-driven analytics.
The system is designed to help utilities improve operational efficiency, reduce water losses and gain a more comprehensive understanding of distribution network performance.
Combining multiple data sources
Unlike traditional monitoring approaches that rely on individual data points, iHydrantPlus combines multiple sources of information to provide a broader view of water system health.
The platform integrates acoustic monitoring, pressure data and temperature measurements, using machine learning tools to identify patterns and detect potential issues in real time.
By analysing multiple operational indicators simultaneously, utilities can gain earlier warning of leaks and changing network conditions.
Addressing non-revenue water challenges
Reducing non-revenue water remains a major priority for water utilities worldwide as operators seek to minimise losses, improve efficiency and protect valuable drinking water resources.
Water that is lost through leaks or unaccounted-for consumption represents a significant operational and financial challenge for utilities.
Real-time monitoring technologies are increasingly being adopted to help utilities identify problems sooner and prioritise maintenance resources more effectively.
Machine learning supports utility decision-making
According to McWane, the platform uses machine learning capabilities to help identify network anomalies and highlight areas that may require operator attention.
The company says combining multiple streams of operational data allows utilities to move beyond reactive maintenance and develop a more proactive approach to network management.
Hydrant-based installation approach maintained
While introducing additional monitoring and analytics capabilities, iHydrantPlus maintains the hydrant-based deployment model used by the original iHydrant system.
This approach allows utilities to install monitoring equipment without taking hydrants out of service or significantly disrupting normal maintenance activities.
As water utilities continue investing in digital transformation strategies, technologies that provide actionable operational intelligence are expected to play an increasingly important role in network management and resilience planning.
Frequently Asked Questions
What is iHydrantPlus?
iHydrantPlus is a hydrant-based monitoring platform that combines leak detection, pressure monitoring, temperature sensing and machine learning analytics.
Who developed the platform?
The technology was developed by McWane as an evolution of its existing iHydrant monitoring solution.
What problems does the system help identify?
The platform is designed to detect leaks, pressure anomalies and other changes in water distribution system performance.
How does machine learning support the system?
Machine learning tools analyse multiple data sources to identify patterns, anomalies and potential operational issues in real time.
Why is reducing non-revenue water important?
Reducing non-revenue water helps utilities improve efficiency, lower costs and protect treated drinking water resources.
