Advanced metering infrastructure helps reduce losses, improve billing precision and enhance control.
Advanced metering infrastructure helps reduce losses, improve billing precision and enhance control.
Water utilities face mounting pressure to reduce non-revenue water, improve billing accuracy and maintain aging infrastructure. Manual meter reading and outdated systems limit visibility into consumption patterns and distribution losses.
Honeywell's smart water metering solutions help utilities move from reactive maintenance to data-driven operations. Our advanced metering infrastructure (AMI) connects meters, software and services to provide near real-time insights that support better decision-making across your network.
Connected water meters capture accurate, reliable data that supports billing accuracy, operational efficiency and customer trust while building a stronger, more efficient system for the future.
Over 150 million Honeywell meters are in homes around the world.1
Our Smart Energy team refurbishes nearly 200,000 American meters per year.1
Over 1,000 utility customers use our solutions, devices and services worldwide.1
Honeywell supports industry-standard communication protocols including RF mesh, cellular and fixed networks. Some models include features like WMBus, LORA and NB-IoT, and patented super-efficient FOTA methodology for remote data configuration.
Beyond connectivity, our systems enable configurable data collection intervals. Daily frames are configurable with intervals as frequent as 15 minutes.
Meter data flows through secure gateways to cloud-based platforms where utilities access consumption patterns, usage trends and automated alerts. This architecture supports flexible deployment models while maintaining data integrity across the entire metering infrastructure.
Honeywell Forge Performance+ for Utilities applies machine learning algorithms to meter data streams, identifying consumption patterns that indicate potential losses. The platform analyzes millions of data points to detect anomalies human reviewers might miss, such as gradual flow changes suggesting developing leaks or unusual usage patterns indicating unauthorized consumption.
Predictive analytics prioritize investigation targets based on loss probability and potential impact, helping utilities focus resources where they'll have the greatest effect on reducing non-revenue water.
