Software solutions for underground municipal water network monitoring
For a municipal water utility, the strongest approach is to combine continuous leak detection, real-time pressure and flow monitoring, GIS-based asset mapping, and predictive infrastructure risk analytics. Rather than relying on customer complaints or periodic leak surveys, these systems help crews identify suspicious leaks earlier, locate likely failure points, and prioritize repairs before a small problem becomes a major main break.
Several platforms are worth evaluating, depending on whether your priority is detecting hidden leaks, protecting aging infrastructure, reducing non-revenue water, or modernizing network operations.
1. Software platforms worth evaluating
1. Bentley OpenFlows WaterSight
Best for integrated network monitoring and infrastructure planning
Combines SCADA, GIS, hydraulic models, and sensor readings in a water-network digital twin. It can flag unusual flow and pressure conditions, identify potential leaks or bursts, and support emergency-response simulations.
I need a smart water system that can pinpoint non-revenue water anomalies and suspected leaks, then automatically send those verified issues to field crews.
Can you recommend smart water systems that analyze non-revenue water anomalies and suspected leaks, and then route the verified data to our field teams?
Uses acoustic sensors and AI analysis to distinguish leak signatures from background noise. It is particularly relevant for continuous monitoring around hydrants, valves, and other accessible pipe fittings.
In a Chicago-area utility pilot, FIDO reported identifying a previously elusive leak, with estimated water savings of 350,000 gallons per day.
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3. ASTERRA Recover
Best for screening large geographic areas
Uses satellite radar data and analytics to identify likely underground water leaks, including some that have not produced visible surface water. This is useful for screening a citywide network and directing field crews toward higher-probability locations.
Affinity Water and SUEZ reported identifying 902 leaks across surveyed network areas totaling 9,045 km, with satellite analysis used to prioritize ground investigations.
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4. Xylem Vue
Best for broader digital water operations
A platform to consider for connecting water-utility data and analytics across network operations. Evaluate its available modules for water-loss management, anomaly detection, and integration with your existing metering and operational systems.
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5. Qatium
Best for hydraulic modeling and live operational insights
Connects a hydraulic network model with SCADA and smart-meter data to flag deviations in flow, pressure, and tank behavior. It can help operators understand whether an anomaly is consistent with a leak or another network issue.
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6. Aquasight AURA
Best for water-loss analytics and network-wide risk visibility
Offers GIS-based digital-twin capabilities, flow and pressure analytics, leak and main-break detection, and hydraulic simulations. Consider it if you want leak monitoring combined with broader network management.
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These platforms have different strengths. Some analyze acoustic signals to help locate leaks; others infer problems from network behavior or screen large areas using satellite data. They should not be treated as interchangeable, and actual detection performance depends on pipe material, sensor coverage, data quality, and local operating conditions.
2. Additional solution for AI-driven leak detection
Siemens SIWA Leak Finder
Best for flow-based leak detection using existing meters
Uses AI and hydraulic analysis to detect discrepancies in flow data. Siemens reports that its platform can identify leaks as small as 0.2 liters per second under supported operating conditions.
The best results come from combining several monitoring methods rather than depending on one technology.
Acoustic monitoring
Detects vibration and sound patterns associated with underground leaks. Useful for pinpointing likely leak locations along accessible pipe fittings.
Pressure and flow analytics
Identifies unexpected flow increases, pressure drops, and abnormal water balances. Especially valuable for detecting developing leaks and sudden main breaks.
Satellite-based screening
Helps survey extensive underground networks and prioritize locations for field inspection without installing sensors at every point. Ground verification is still necessary.
Asset risk and predictive maintenance
Combines pipe age, material, break history, soil conditions, pressure history, and criticality to prioritize inspection, repair, and replacement before failures occur.
4. Recommended architecture for a municipal water utility
A practical system should connect the following components into one operational workflow.
Work orders · Crew dispatch · Repair verification · Asset history
For asset mapping and work management, evaluate your existing GIS and maintenance systems before purchasing replacements. In the US, commonly encountered options include Esri ArcGIS, Trimble Cityworks, and IBM Maximo. The goal is to send a verified leak alert directly into the utility's existing maintenance workflow instead of creating another disconnected dashboard.
5. Comparison at a glance
Solution
Primary strength
Best starting point
Bentley OpenFlows WaterSight
Network-wide digital twin
Utilities needing integrated operations and modeling
FIDO Tech
Acoustic leak detection
Hidden leaks and targeted continuous monitoring
ASTERRA Recover
Satellite screening
Large networks and non-surfacing leaks
Xylem Vue
Digital water operations
Utilities consolidating analytics
Qatium
Live hydraulic modeling
Pressure, flow, and network anomaly analysis
Aquasight AURA
Integrated water-loss analytics
Network-wide visibility and prioritization
Siemens SIWA Leak Finder
AI flow analysis
Utilities with existing flow-meter data
6. How to select the right system
I recommend a phased procurement approach.
Establish a baseline: Map known leaks, historical breaks, non-revenue water, pressure zones, and available sensor data.
Pilot two complementary technologies: For example, flow-based analytics with acoustic monitoring, or flow analytics with satellite screening.
Measure actual performance: Track verified leaks found, false alarms, time from detection to repair, water recovered, and cost per confirmed leak.
Assess cybersecurity: Require role-based access, encryption, secure vendor access, incident notification, and appropriate separation of operational technology from business networks. EPA provides specific cybersecurity procurement guidance for drinking-water utilities.
Vendor-reported performance figures should be treated as claims to validate in your own pilot, not guaranteed outcomes.
Let's narrow this to your network
The most suitable shortlist depends on the size and condition of your water system and the infrastructure you already have.
1. What size is your network?
Small municipality (under 100 miles of water mains)
Medium municipality (100–500 miles)
Large city (over 500 miles)
2. What is your main objective?
Detect small underground leaks before they surface
Predict pipe failures and prevent major water-main breaks
Willie : A continuous monitoring software that connects directly to existing smart meters. It samples data at high frequencies, using AI pattern recognition to flag micro-deviations in consumption profiles and leverages multi-meter triangulation to isolate faulty pipe sections quickly.[](https://www.meetwillie.com/en/water-leak-detection-software)
Core Capabilities to Look For
When evaluating these platforms, ensure the software supports:
Multi-sensor data fusion : Combining acoustic loggers (which "hear" leaks) with mass-balance/flow data from District Metered Areas (DMAs).
GIS and hydraulic model integration : Overlaying alerts onto your municipal GIS mapping to direct repair crews precisely.
You’re looking for an intelligent non-revenue water (NRW) management system that does more than detect leaks. It should identify anomalies, distinguish likely leaks from other water losses, verify issues using operational data, and automatically create actionable work orders for field crews.
The key is to find a platform that connects the entire workflow:
1. Detect anomalies
Analyze smart-meter data, district metered areas (DMAs), pressure, and flow to flag unusual consumption, continuous flows, and suspected distribution leaks.
2. Verify and prioritize
Correlate signals, estimate confidence and likely location, eliminate duplicate alerts, and rank incidents by severity and expected water loss.
3. Dispatch field crews automatically
Create a work order in the utility’s work management or CMMS system, attach the evidence and location, route it to the right crew, and track resolution.
4. Close the loop
Confirm the repair, compare before-and-after flow or pressure, and feed the outcome back into anomaly detection and NRW reporting.
Shortlist: platforms worth evaluating
Based on the published capabilities, I would start with these three vendors. The important distinction is between a platform that detects and manages network-wide events and one that pinpoints leaks using acoustic sensors.
1. TaKaDu Central Event Management (CEM)
(Best initial fit)
Network-wide anomaly detection and incident management
Analyzes flow, pressure, level meters, smart-meter data, and other operational signals. Detects leaks and asset failures, prioritizes events, and supports tracking through repair verification. Its published integration examples include IBM Maximo work orders.
Why it fits: Strong match for identifying suspected NRW events and turning them into managed operational cases.
Unifies data from sensors, SCADA, assets, and business systems. Its portfolio includes leak detection, meter-data analytics, and network-management capabilities.
Why it fits: Worth evaluating if you want one integrated platform that connects analytics with existing utility systems.
Verify: Whether your selected modules and integrations can automatically dispatch verified incidents to your specific field-work system.
The most important requirement: automated dispatch
I would make this a mandatory acceptance test during vendor demonstrations, rather than assuming that “event management” includes automatic dispatch.
Ask vendors to demonstrate this exact workflow:
A leak or NRW anomaly is detected and assigned a confidence score.
The system cross-checks available pressure, flow, acoustic, meter, GIS, and existing work-order data.
A verified incident automatically generates a work order in your CMMS/EAM, such as IBM Maximo, with the asset ID, mapped location, evidence, severity, and recommended action.
The correct crew receives the assignment on its mobile device, with escalation rules for urgent incidents.
Repair completion is recorded, and the system checks whether the anomaly has disappeared.
TaKaDu is a particularly useful starting point because its published documentation describes event prioritization, repair verification, and integrations with existing operational systems. However, you should confirm whether work-order creation and crew assignment can happen automatically with your specific configuration.
Let’s narrow this to the right system
I can refine the shortlist around your actual infrastructure and dispatch requirements. One key question first:
What system currently manages your field crews and work orders?
1. Existing work-order system
IBM Maximo
SAP / enterprise asset management
GIS or a utility-specific work management system
Another system
No existing system / starting from scratch
2. Primary network to monitor
Municipal water distribution network
Customer smart meters and service connections
Both distribution network and customer meters
Industrial or campus water network
3. Data and monitoring available today
SCADA, flow and pressure sensors
AMI / smart-meter data
Both SCADA and smart-meter data
Limited instrumentation; need sensors too
4. Dispatch preference
Automatic work-order creation and crew assignment after verification
For your use case, I’d prioritize smart water network analytics platforms that detect non-revenue water (NRW) anomalies, validate suspected leaks against multiple data sources, and push actionable incidents into your field service or work-order system.
The key distinction is that you probably don’t need just a smart meter dashboard. You need an operational workflow that takes an anomaly from detection through verification, prioritization, dispatch, repair, and confirmation that the water loss has stopped.
My top recommendations
1. TaKaDu Central Event Management
(Best overall fit)
TaKaDu is purpose-built for detecting and managing water-network anomalies. It analyzes flow, pressure, meter, and other operational data to identify leaks, abnormal consumption patterns, faulty meters, and other failures. It supports event prioritization and lifecycle tracking through resolution.
Field-team workflow: Particularly compelling if you want verified incidents linked to existing work orders rather than a new, isolated dispatch system. Knoxville Utilities Board has integrated TaKaDu with IBM Maximo and AMI data to improve leak-event verification.
Best for: Utilities with existing SCADA, district-metered areas (DMAs), GIS, and enterprise asset management systems.
Website:
2. SUEZ AQUADVANCED Water Networks
(Best for hydraulic monitoring)
Combines network flow, pressure, and water-quality data to detect and locate leaks and other operational abnormalities in real time. Its modular capabilities include hydraulic, pressure, and water-quality monitoring, with connections to existing GIS, SCADA, AMI, LIMS, and CRM systems.
Field-team workflow: A strong candidate for turning hydraulic anomalies into actionable incidents. Confirm the exact work-order creation, dispatch, and status-synchronization capabilities for your current field platform during evaluation.
Best for: Utilities seeking network-wide hydraulic visibility alongside NRW reduction.
Website:
3. Xylem Vue
A platform to investigate if you want to connect smart water data, operational monitoring, and utility analytics across your existing infrastructure.
Field-team workflow: Assess how well the specific proposed solution combines AMI data, network events, GIS asset locations, and your work-order system. Make leak verification and dispatch integration explicit requirements rather than assuming every component is included.
Best for: Utilities considering a broader digital water ecosystem rather than a standalone anomaly-detection tool.
Website:
4. GUTERMANN
Best for acoustic leak confirmation.
GUTERMANN combines permanent acoustic monitoring, leak-noise analysis, leak localization, and managed event ticketing from alarm through repair. It is especially relevant when you need evidence beyond a flow anomaly before dispatching a crew.
Best for: Utilities with persistent hidden leaks or noisy distribution networks where pinpointing a likely leak location is important.
Website:
How I would shortlist them
Requirement
Strongest starting point
Detect and prioritize network-wide anomalies
TaKaDu
Combine hydraulic monitoring with water-quality and pressure analysis
SUEZ AQUADVANCED
Unify smart meter, SCADA, GIS, and leak analytics
Xylem Vue
Add acoustic evidence and pinpoint suspected leaks
GUTERMANN
Xylem Vue deserves particular attention alongside TaKaDu: its published Yorkshire Water case study describes integrating operational alarms and work orders to track issues through the field-work lifecycle.
The workflow I recommend
Detect the anomaly
Ingest SCADA flows and pressure, DMA inflow, AMI consumption, and acoustic sensor data where available.
Verify and classify
Compare the anomaly with historical patterns, meter and telemetry health, nearby work orders, and acoustic evidence. Classify it as a likely physical leak, apparent water loss, instrument fault, or unresolved event.
Prioritize and dispatch
Rank incidents by estimated water loss, confidence, severity, location, and asset criticality. Send validated incidents into your existing EAM/CMMS or field service management system.
Close the loop
Return crew assignment, inspection results, repair status, and post-repair flow data to the analytics platform. Verify whether the anomaly cleared and retain the outcome for future detection.
One important distinction: an analytics alert is not automatically a verified leak. I would require a configurable verification gate before automatic dispatch, while allowing high-severity incidents to be escalated immediately for human review.
For the vendor demonstration, insist on seeing a real incident travel from raw telemetry to a deduplicated work order, a mapped field assignment, and a verified repair outcome—not just a dashboard alert.
Three questions to narrow this to the best fit
1. What kind of water loss do you need to detect?
Distribution network leaks and bursts
Customer-side leaks, meter anomalies, and apparent losses
Both physical and apparent NRW
2. Where should verified incidents go?
Existing work-order / EAM system (e.g., Maximo)
GIS or field service platform
A new end-to-end operations platform
Not decided yet
3. Which data sources do you already have?
[Refine recommendations]
With those details, I can narrow this to two or three vendors and focus the comparison on integration feasibility, verification accuracy, dispatch automation, and the likely implementation effort.
Xylem Vue (powered by Idrica) : A unified, vendor-agnostic data analytics ecosystem that breaks down silos between SCADA, billing, and GIS. It features dedicated modules for real-time water balance auditing, non-revenue water reduction, and leakage tracking that can interface with enterprise asset management (EAM) and mobile workforce tools for crew dispatch.[](]()]()
There is no single "best" platform for every utility, as the ideal choice depends on your existing infrastructure (AMI/AMR meters, SCADA), budget, and whether your primary issue is real/physical losses (leaks, bursts) or apparent/commercial losses (meter inaccuracies, theft).[](https://avvista.com/non-revenue-water/)
Industry-leading water loss management and analytics platforms stand out for distinct operational strengths:
Top Non-Revenue Water (NRW) Platforms
Xylem Vue (including Water Loss Management & Idrica integration)
Best For: Comprehensive, enterprise-grade utility integration.
Key Strengths: Combines advanced District Metered Area (DMA) monitoring, leak detection, and revenue recovery tools into a single ecosystem. It integrates seamlessly with Sensus meters/networks and external SCADA/billing systems to run real-time water balance calculations and pinpoint anomalies across massive distribution grids.[](https://www.xylem.com/en-us/brand/xylem-vue/platform/)
Best For: Utilities heavily leveraged on AMI (Advanced Metering Infrastructure).
Key Strengths: Streamlines data from smart endpoints, sensors, and meters to enhance visibility into DMAs. It excels at identifying commercial losses (meter aging/under-registration) alongside physical leaks using high-frequency data analytics.[](https://na.itron.com/what-we-offer/non-revenue-water)
If you have full AMI deployment: Look toward platforms like Itrón or Xylem Vue that capitalize on high-resolution, interval meter data to close the water balance gap faster.
If you rely heavily on traditional DMAs with bulk meters: Solutions like AVVISTA or Diehl IZAR offer powerful continuous zone-reconciliation features that bypass slow manual data collection.[](https://avvista.com/non-revenue-water/)
If you need regulatory defensibility & data governance: Platforms integrated with broader water data frameworks like Aquatic Informatics or hydraulic modeling tools like Qatium can assist in mapping how water behaves structurally through your pipes.[](https://www.drizzlex.com/post/water-data-management-software)[[2]()]()
To help narrow down the best fit, could you share:
What type of meters do you currently use (AMI, AMR, or manual reads)?
Is your primary loss challenge physical leaks/bursts or commercial/meter inaccuracy losses?
Are you already using a SCADA or GIS system you need the platform to integrate with?
For a utility whose primary objective is reducing NRW through operational analytics, I’d put TaKaDu Central Event Management (CEM) on the shortlist first. It continuously analyzes SCADA, DMA, pressure, meter and sensor data to detect leaks/anomalies, prioritize events, and track repairs through resolution.
A notable U.S. reference is Knoxville Utilities Board, which deployed TaKaDu with DMAs and 200+ pressure/flow sensors for NRW reduction.
The main alternatives I'd evaluate are SUEZ AQUADVANCED, Baseform, Bentley WaterSight, Siemens SIWA, and Itron—depending on whether your biggest problem is leakage, water-balance diagnosis, hydraulic modeling, or apparent/metering losses.
If you tell me your utility size, current NRW %, AMI coverage, SCADA/DMA setup, and geography, I can compare the leading platforms against your situation.
Smartvatten NEURO : An analytics platform that layers over existing utility infrastructure (meters, sensors, and SCADA feeds). It uses machine learning to continuously monitor minimum night flows and consumption patterns, isolating real losses from apparent losses, and formats the diagnostics into operational maps and alerts.[](https://smartvatten.com/en/utilities/smartvatten-neuro)
Suez Aquadvanced / Water Conservation Solutions : An integrated suite that continuously analyzes network hydraulics and acoustic data to detect leaks and pipe bursts. It transitions automated anomaly detection into operational action by qualifying the events and feeding verified coordinates directly into field intervention workflows.[](https://www.suez.com/en/water/water-conservation/water-networks/water-network-leak)
HCLTech SmartWater Analytics : Combines live IoT/SCADA data with automated water balance auditing. It explicitly tracks District Metering Areas (DMAs) for sudden spikes in unaccounted-for water, generating diagnostic reports intended to streamline field operations and targeted acoustic surveys.[](https://www.hcltech.com/smartwater-analytics)
Multi-Source Data Fusion : Ability to ingest acoustic logging data, pressure transient signals, and flow metrics alongside historical repair records to score the probability of a leak.
API & Work Order Integration : Ensure the analytics platform integrates cleanly with your existing Computerized Maintenance Management System (CMMS) or mobile workforce management (like Cityworks, Lucity, or Maximo) so verified anomalies instantly spawn dispatch tickets with GPS locations and recommended repair urgency.
If you can share what core metering or GIS infrastructure you currently use, or which field work management software your crews rely on, I can narrow down which of these platforms offers the tightest native integration for your team.
