Solutions

Central Energy Metering Solutions

AI-Driven M2M Central Energy Metering

Home/Solutions/Central Energy Metering Solutions

The Prepago Data Logger is a bespoke unit which elevates your utility infrastructure directly into an optimized digital asset. This is because it interfaces with the Prepago Core system through a broadband connection and acts as the principal data acquisition system in wired and wireless meter networks. This is a leading edge development and using the existing equipment to get the most from your investment without adding costs.

Ideal for Retrofit

Look Mum no wires! We can add power and heating meters and controllers wirelessly to a new or existing network. Through the clever use of IOT (Internet of Things) wired and mobile phone technology we will upgrade your utility meters into a network that works without running wires and cables around your building.

The Prepago prepay for energy solution will initiate meter readings according to any agreed schedule and records the meter number which indicates the location, and the reading date and time in a timestamp to ensure that each recorded data value is associated with a date and time of acquisition in order to produce a sequence of events. As the data logger is cloud connected it employs internet based-time clocks ensuring far greater accuracy.

The unit is a dedicated standalone unit which takes a 5.5v supply which is supported by a 110/230v mains power converter and battery backup unit. The units are extremely power efficient relative to computers are designed to operate in the harsh environmental conditions of boiler rooms where computers often will not function reliably.

Contact đź“§Management Enquiries or đź“§Technical Support for a free site survey and more information.

AI-Driven M2M Central Energy Metering

The Prepago Data Logger is a bespoke, industrial-grade gateway that bridges physical, wired multi-drop meter networks with Wireless Local area networking to connect directly to our cloud computing environment. This isn't just data acquisition—it is a live implementation of the Semantic Web and machine-to-machine (M2M) autonomous intelligence. The Data Logger Unit is a key part of the Prepago installation system and service initiation process as it sets up the prepay service for measuring customer heating units and initiates and tests the metering and service shut off protocols to be used in the deployment.

Getting ahead

Predictive Anomaly Analysis: By streaming high-frequency meter readings safely to the cloud frequently building on our 15 years of data, our AI engine runs live diagnostic diagnostics on timestamps, tracking micro-fluctuations in fluid flow and energy consumption.

The Business Value: If the machine learning layer detects an overnight micro-drop in pressure across a 100-unit block, it isolates the sector and alerts maintenance, preventing catastrophic building water or heat damage

Next Generation Prepay

The system integrates a number of protocols and data formats as inputs and it exports directly to Prepago cloud using our own independent broadband internet connection in a secure XML format for data exchange.

Framing your code’s existing automated logic, verification checks, and remote surveillance capabilities as "Predictive Utility Management AI" instantly elevates the platform's market authority over basic utility middle-men.

AI-Driven M2M Central Energy Metering

The Prepago Data Logger is a bespoke, industrial-grade gateway that bridges physical, wired multi-drop meter networks directly to our cloud computing environment. This isn't just data acquisition—it is a live implementation of the Semantic Web and machine-to-machine (M2M) autonomous intelligence.

Upgraded System Architecture:

  • Prepay From Day One: Establishes secure communication loops to execute immediate prepay shut-off and initialization protocols during resident changeovers.
  • Multi-Protocol Harmony: Native compatibility with M-Bus, and also MODBUS, BACNET, and Canbus (ISO 11898), running reliably inside severe mechanical boiler room environments where consumer and particularly PC based hardware usually fails.
  • Predictive Anomaly Analysis: By streaming high-frequency meter readings safely to the cloud several times a day, our AI engine runs live diagnostic diagnostics on timestamps, tracking micro-fluctuations in fluid flow and energy consumption.
  • The Business Value: If the machine learning layer detects an overnight micro-drop in pressure across a 100-unit block, it isolates the sector and alerts maintenance, preventing catastrophic building water or heat damage.