Why Automate Water Meter Reading?
Manual meter reading is costly, imprecise, and does not allow for real-time leak detection. A distribution network serving 10,000 customers with annual meter readings results in thousands of field hours each year, data entry errors, billing disputes, and undetected water losses.
Remote meter reading is transforming this process:
- No on-site visits — meter readings are collected automatically.
- Billing based on actual meter readings — no more estimates.
- Leak detection — analysis of hourly usage patterns.
- Anomaly alerts — abnormal usage, stuck meter, backflow.
- Water balance — reconciliation of distributed and billed volumes (network losses).
Remote Meter Reading Technologies: M-Bus, LoRaWAN, NB-IoT
M-Bus (Meter Bus)
A wired protocol designed for energy and water meters. It allows up to 250 meters to be connected via a single 2-wire cable over a distance of 1,000 meters. Ideal for groups of meters in utility rooms (buildings, boiler rooms, substations). The gateway reads the M-Bus meters and transmits the data via Modbus TCP or MQTT.
LoRaWAN
Long-range radio (up to 15 km in open terrain, 2–5 km in urban areas). Battery life of 5 to 10 years. Ideal for meter fleets spread across a region. A LoRaWAN gateway covers hundreds of meters. The LoRaWAN gateway connects to the cloud via 4G.
NB-IoT
A 3GPP-standardized low-power cellular network. Excellent penetration into buildings (basements, utility rooms). 10-year battery life. Nationwide coverage via mobile carriers. Ideal for deployments that do not require the installation of radio infrastructure.
Pulse
Most older meters have a pulse output (1 liter per pulse). A remote meter reading module connected to the pulse output transmits the meter readings via LoRaWAN or NB-IoT. This is a cost-effective solution for modernizing meters without replacing them.
Leak Detection: Analyzing Consumption Patterns
The power of remote meter reading lies in the analysis of hourly consumption profiles:
| Time | Normal Flow | Leak Signal |
|---|---|---|
| 12 a.m.–6 a.m. (night) | Virtually zero | Non-zero flow (>5 L/h) |
| 7 a.m.–9 a.m. (morning peak) | High | Expected profile |
| 12 p.m.–2 p.m. (break) | Average | Expected profile |
| 10 p.m.–12 a.m. (evening) | Decreasing | Abnormal residual consumption |
An alert is triggered if nighttime consumption exceeds a configurable threshold. The platform calculates the "minimum nighttime flow rate"—a key indicator of the volume of leakage in the network.
Water Balance and Network Efficiency
Remote meter reading makes it possible to calculate the network’s primary efficiency:
Efficiency (%) = Volume consumed (meter reading) / Volume supplied (master meter) × 100
An efficiency rate below 80% indicates significant losses (leaks, unaccounted-for volumes, fraud). Remote meter reading identifies areas of loss by comparing balance sheets by sector.
The Eziwan Approach
The Eziwan Gateway natively supports M-Bus (via an RS-485 concentrator) and Modbus TCP (for TCP meters), and can integrate a LoRaWAN module for radio meters. All data is centralized in the Eziwan Cloud with dashboards dedicated to water distribution: consumption graphs, leak alerts, and water usage reports by sector.
For more information: pumping station monitoring, Modbus Cloud, and industrial IoT connectivity.