GAT D.O.O. Novi Sad

GAT Fleximeter for remote water meter reading and early leak detection.

GAT Fleximeter enables remote water meter reading. NB-IoT communication and district water balance. Leak alarms and water loss reduction.

GAT Fleximeter system for remote water meter reading, NB-IoT network and leak analytics
System overview: problem, NB-IoT reading, analytics and operational effect.
20,000metering points from the project documentation
8,760annual data points per meter with hourly reporting
24-48 htarget response for early leak detection
90 m³saving per 3 m³/day leak detected one month earlier

How it works

From metering point to work order in four verifiable steps.

01Meter

The metering point measures consumption, battery status, events and alarm conditions.

02NB-IoT transfer

The communication module sends readings through a narrowband Internet of Things mobile network.

03Platform

The server validates data, stores history and prepares values for billing and analytics.

04Alarm or work order

Analytics marks leaks, anomalies or priorities for field inspection.

Solution architecture

A professional system is not only a water meter with a radio module.

GAT Fleximeter separates the smart water meter, NB-IoT communication, platform and operational process. The metering point sends data, the server validates it, analytics detects leaks or deviations, and the field team receives a clear priority for inspection.

  1. 01Metering point

    Water meter, communication module, alarms and local memory.

  2. 02NB-IoT transfer

    Status, battery, signal and alarm events are transmitted automatically.

  3. 03Platform

    Database, validation, reading history and billing interface.

  4. 04Analytics

    Night flow, anomalies, district balance and ranked priorities.

  5. 05Work order

    Clear alarm ownership, field verification and closed intervention.

GAT Fleximeter architecture from smart water meter to operational decision
Architecture from metering point to platform, analytics and operational decision.

Field reality

Digitalization starts where manual meter reading fails most often.

Project images show why monthly field reading is not enough: flooded chambers, inaccessible spaces, damaged meters and estimated values. This is not only a reading problem, but a water loss management problem.

Field reality and problems in water meter chambers
Field reality: inaccessible metering points and late problem detection.
Real chamber with multiple water meters and installation
Real chamber with multiple meters and limited installation space.
Smart water meter installed in a chamber with communication link
Example installation of a smart meter in a water meter chamber.
NB-IoT water meter and communication layer for remote reading from a chamber
NB-IoT layer for data transfer from the water meter chamber to the platform.

Communication layer

NB-IoT is suitable when coverage, battery life and existing mobile infrastructure matter.

GAT Fleximeter is designed as a smart water meter with a communication module that reduces field visits, automates data collection and supports hard-to-access metering points. An NB-IoT water meter is suitable for small data volumes and long battery operation, while system quality depends on real network coverage, correct installation and signal control.

Datareading, history, battery and signal level
Alarmsremoval, magnet, reverse flow and leakage
Operationparameter setting without field visit
Limitverify real coverage before mass deployment

Metering equipment

The meter is selected according to the zone, consumer profile and detection requirement.

Mass deployment base

A mechanical water meter with a communication module is a fast path for digitalizing an existing meter park. It supports reading logistics and general balance control.

Critical points

Ultrasonic metering provides higher sensitivity, additional diagnostics and greater value for complaint locations, large consumers and district inlets.

Metrology

Billing use requires a valid type certificate, periodic verification and measurement traceability.

GAT Fleximeter smart water meter for digitalization of the existing meter park
GAT Fleximeter: autonomy, alarms, protection and flexible integration.
GAT Fleximeter smart water meter with communication module for remote reading
Smart water meter with communication module for remote reading.
Larger meter with communication module
Larger meter with communication module for demanding metering points.
Ultrasonic water meter for leak detection and remote reading
Ultrasonic water meter at the metering point for remote reading.
Residential metersDN15-DN20battery poweredremote reading
Larger metering pointsflanged executiondemanding locationscommunication module
Ultrasonic meteringno moving partshigh sensitivityalarm events

District Metered Area

Without a zone inlet measurement there is no reliable answer where water is lost.

Smart customer meters provide consumption. An electromagnetic flow meter at the district inlet provides the reference. The difference between those two levels becomes the operational water loss signal.

Zone inlet - Customer sum = Loss
District water balance as a basis for water loss reduction
District balance: zone inlet, customer sum and calculated water loss.

Data analytics

Value appears when the system proposes an action, not when it only shows a chart.

The analytics layer does not replace billing software. It reads data, detects patterns, compares consumption with history and returns prioritized lists of users, zones and interventions.

Water consumption analytics from smart meter readings to work order
Analytics converts raw readings into a prioritized work order.
01

Minimum night flow

Persistent excess flow during low-consumption hours indicates leakage.

02

User profile

Consumption is compared with the user's own history and similar users.

03

District balance

Zone inlet flow is compared with the sum of customer meters.

04

Work order

The output is a priority list, not a passive report.

Workflow from Fleximeter meter and NB-IoT network to platform display
Flow from meter and NB-IoT network to platform and monitoring view.
Minimum night flow for leak detection
Minimum night flow as a signal for leak detection.
Typical customer consumption profiles
Consumption profiles and deviation detection.

Alarms and diagnostics

The operator should receive a clear alarm and priority, not search for a problem in a table.

The alarm layer separates normal consumption from conditions that require verification, field intervention or inspection of the metering point installation.

Leakage

Continuous flow, increased minimum night flow and long consumption without interruption.

Reverse flow

Detection of improper flow direction and possible hydraulic or installation issues.

Tampering

Unauthorized opening, attempt to influence the meter or unusual alarm event.

Low battery

Planned replacement before communication from the metering point is lost.

Communication loss

Monitoring missing messages, signal quality and module re-registration.

Unusual consumption

Consumption profile deviating from user history or expected operating mode.

Integration with existing systems

Remote reading must work with the systems already used by the water utility.

The solution is designed as a layer that receives field data, normalizes it and provides reports, data export or application programming interfaces for existing business systems.

Billingreading export, billing period and missing value control
Geographic information systemmeter location, zone, chamber, status and alarm history
Supervisory control systemaggregated alarms, district flow, priorities and operational overview
Application interfaceconnection with existing databases, portals and reporting systems

Security and data ownership

Metering data must remain controlled, traceable and available to the system owner.

The architecture can be designed as a local system, controlled server system or hybrid model. Data access, user roles, export and integrations are defined before the pilot zone so later expansion remains controlled.

Ownershipdata remains owned by the water utility system user
Accessroles, user permissions and activity logs
Exportcontrolled exchange with billing, monitoring and reports
Continuitylocal meter memory and data transfer recovery after communication outage

Operational effect

Effect is measured in days, cubic meters and field visits.

30+ daysdelay when a problem is visible only in the next reading cycle
24-48 hearly warning target based on daily or hourly data flow
3-4%target share of estimated readings in a digitalized system
Indicators before and after remote meter reading
Operational indicators before and after remote reading deployment.
Reduction of field visits per thousand meters
Reduction of field visits through automated reading.
Smart water meter with autonomy, protection and alarm features
Smart water meter with autonomy, protection and alarm features.

GAT delivery scope

One integrator for metering, automation, monitoring and documentation.

Remote reading

NB-IoT water meters, heat meters, wireless M-Bus and billing integration.

Automation

Programmable logic controllers, control cabinets and pump frequency regulation.

Supervisory control

Monitoring, alarms, trends, energy indicators and work orders.

District metering

District metered areas, electromagnetic flow meters and implementation planning.

AI server

Local analytics on water utility equipment, without mandatory public cloud operation.

Documentation

Technical specifications, bills of quantities and investment analysis.

Who it is for

The solution is intended for systems where manual reading is no longer fast or reliable enough.

The greatest effect is achieved where there are many metering points, hard-to-access chambers, uneven consumption profiles and a need to detect water losses before bills and complaints.

Public utility companies

Remote reading, alarms, consumption history and intervention priorities.

Water supply systems and zones

District balance, minimum night flow and inlet-to-customer comparison.

Industrial and large consumers

Flow monitoring, unusual consumption, interruptions and regime deviations.

Municipalities and cities

Basis for loss reduction programs, metering modernization and transparent reporting.

Delivery package

Complete chain from metering point to report and work order.

01Meters and modules

Water meter, communication module, alarms, local memory and tamper protection.

02Communication

Narrowband Internet of Things mobile network, signal check, activation and transfer monitoring.

03Platform

Data reception, reading validation, history, user overview and export to billing.

04Analytics

Night flow, anomalies, leak alarm, district balance and priority ranking.

05Integration

Connection with existing billing, monitoring display and maintenance process.

06Support

User training, technical documentation, reports and support during system expansion.

Pilot zone

The fastest path to a decision is a limited zone with measurable results.

The pilot zone should include enough meters to verify radio coverage, reading quality, alarm frequency, district balance and maintenance response.

A pilot zone does not require replacement of the entire meter park. The goal is to verify communication, data quality and operational effect on a limited sample.

Send pilot zone request
30-90 daystrial operation period
100-500recommended number of metering points
24-48 hearly leak detection target
Reportcoverage, readings, alarms, losses and expansion plan

Inputs required for assessment

Basic technical inputs are required for a useful proposal.

  • number of meters and approximate diameters
  • existing water meter types and chamber condition
  • locations or zones planned for pilot deployment
  • existing billing system and data exchange format
  • availability of district metering and flow data

Practical proof

The pilot zone result must be measurable, not only visually displayed on a platform.

The pilot measures successful reading rate, radio-signal stability, number of alarm events, district balance deviation and time from alarm to field verification. These data points support technical and economic decisions about system expansion.

Pilot zone

The first step is an audit of metering points and district balance.

A professional pilot requires zone definition, user database check, meter type review, chamber accessibility, NB-IoT signal check, inlet flow measurement and alarm closure process.

GAT contact and service overview
GAT D.O.O. Novi Sad: engineering, automation and infrastructure solutions.

Regional coverage

We deliver projects in Serbia, Bosnia and Herzegovina, Montenegro and North Macedonia.

GAT D.O.O Novi Sad VAT nr 100447637 www.gat.co.rs

Serbia
Bosnia and Herzegovina
Montenegro
North Macedonia

Next step

Send basic information about the zone and number of meters.

GAT prepares a pilot implementation proposal with scope, technical conditions and acceptance criteria.

Pilot zone