Single-Phase • Three-Phase • Deployment Ready

High-Accuracy Energy Monitoring
for Smart Buildings & Industry

NBE designs energy metering processing units (MPU) and scalable monitoring architectures for distribution boards and field deployments. Built for reliable parameter computation, industrial integration, and cloud reporting.

View Live Dashboard Demo Android App Download
Energy monitoring deployment environment
Designed for electrical panels, distribution boards, and real deployments.

Complete Energy Parameters

Measures All Core Electrical Parameters

Voltage, Current, Frequency, Power Factor, Active Power, Reactive Power, Apparent Power, Active Energy, Reactive Energy, Apparent Energy.

Output is suitable for dashboards, trend analysis, alerts, and industrial integration.

Single-Phase & Three-Phase + Multi-Channel

Scalable from single-phase monitoring to multi-channel three-phase deployments for commercial and industrial distribution boards. Suitable for sub-metering, feeder monitoring, and circuit-level measurement architecture.

IEC Standards & Accuracy

IEC 62053-21 (Class 1)

Defines accuracy requirements for active energy measurement. Class 1 commonly corresponds to 1% accuracy under specified test conditions.

IEC 61869-1 / 61869-2

Defines performance and test requirements for instrument-transformer-based measurement chains such as current transformers (CT).

What This Means

A standards-aligned metering chain gives confidence that the system is engineered using proven test methods, measurement practices, and accuracy expectations.

Certificate of Conformity (IEC)

Certificate of Conformity with IEC 61869-1, IEC 61869-2, and IEC 62053-21, aligned with Class 1 measurement requirements (commonly referenced as ~1% active energy accuracy).

Processing Architecture Options

Embedded MPU Platform (ARM9, Linux)

Designed for advanced integration and extensibility. Suitable for technical users and system integrators who may want to integrate custom software modules, protocol gateways, or edge applications.

  • ARM9 embedded processor
  • Linux OS for application-level integration
  • Supports gateway / edge services and flexible networking
Embedded MCU Platform (Industrial Standalone)

Designed for hardened, standalone metering deployments. Optimized for long-term reliability and deterministic real-time operation. No user-side software integration is required.

  • Industrial 32-bit MCU architecture
  • Deterministic firmware / RTOS style design
  • Optimized for stable field deployment

Sampling & Computation (Engineering-Grade)

Dual-Rate Sampling Architecture

The metering engine continuously samples the voltage and current waveforms at high resolution for stable computation, while providing a practical real-time update rate for dashboards.

Edge waveform sampling

6.4 kHz waveform acquisition for detailed computation and event visibility.

Aggregate reporting

4 Hz telemetry update for near real-time dashboard and monitoring.

Reactive Power Computation

Reactive power is computed from fast waveform sampling using phase information extracted through a Hilbert transform technique, enabling stable quadrature component estimation and more accurate reactive measurement under real-world load conditions.

This approach is particularly useful when loads are dynamic and waveform characteristics vary over time.

Industrial Sensing Chain

Current Measurement (CT)

Current measurement is implemented using industrial iron-core current transformers (CT), providing galvanic isolation between the power system and the measurement circuitry.

  • Isolation from mains for improved safety and robustness
  • Stable measurement across a wide current range
  • Compatible with distribution board installations
Voltage Input & Environment
Voltage input (typical)

90–300 Vac (L–N), 50/60 Hz (typical building/industrial mains monitoring).

Operating temperature

−20°C to +70°C (typical industrial environment; extended range depends on configuration).

If you need a wider voltage range or harsher temperature specification, we can tailor the input and BOM selection.

Edge AI • Harmonic Analysis • Local Processing

See Which Appliances Are Using Energy

NBE's Non-Intrusive Load Monitoring (NILM) helps users understand how electricity is being used without installing a separate meter on every appliance. The system learns the electrical pattern of appliances such as fans, kettles, motors and air-conditioners, then estimates which appliances are operating and how much energy each one has consumed.

Unlike basic systems that look only at total current or power, NBE analyses the shape and harmonic content of the electrical waveform. This gives the system more information to distinguish appliances with similar power levels and to recognise several loads operating together. Processing is performed locally on the edge device for fast response, reduced cloud dependence and greater privacy, while the app presents the results as simple appliance photos, energy charts, trends and an easy-to-understand prediction reliability rating.

Appliance-Level Insight

See which learned appliances are likely to be ON and view their estimated power and accumulated energy use.

More Than Basic Power Matching

Waveform and harmonic analysis helps separate appliances that may draw similar wattage but behave differently electrically.

Local, Fast and Private

Prediction can run directly inside the device, allowing local operation even when cloud connectivity is limited or not required.

NILM Android Application

NBE NILM electrical measurements screen
Electrical Measurements

Live voltage, current, frequency, power, energy, power factor and power-quality indicators in one view.

NBE NILM waveform and FFT harmonics screen
Waveform & Harmonics

Displays the current waveform and harmonic spectrum used to understand the electrical behaviour of the load.

NBE NILM active power trend screen
Power Trend

Tracks changes in active power over time so users can quickly identify switching events and unusual behaviour.

NBE NILM appliance energy and prediction analytics screen
Appliance Energy

Shows energy attributed to each learned appliance together with prediction quality and reliability information.

NBE NILM appliance learning screen
Simple Appliance Learning

Users can teach, combine or remove appliance signatures through a clear photo-based interface.

The interface is designed to turn advanced waveform analysis, FFT matching and statistical reliability checks into information that ordinary users can understand at a glance.

Portable Demonstration & Field Monitoring

Energy Monitoring Kit with NILM

The portable NBE Energy Monitoring Kit combines electrical measurement, appliance learning and NILM analysis in one rugged case. It is designed for demonstrations, pilot studies, classroom training and temporary site monitoring, allowing users to connect appliances, observe their electrical behaviour and demonstrate appliance-level energy identification without a permanent installation.

Open portable NBE energy monitoring kit with NILM electronics and appliance outlets
Closed rugged carrying case for the NBE NILM monitoring kit
Built for Practical Demonstration
1
Portable and Protected

Electronics, terminals and appliance outlets are integrated into a rugged carrying case for convenient transport and handling.

2
Live Electrical Measurement

View voltage, current, power, power factor, energy, waveform and harmonic information in real time.

3
Learn and Identify Appliances

Teach the system the signatures of connected appliances, then demonstrate NILM prediction and appliance-level energy allocation.

4
Local App Connection

Use the Android or desktop interface for appliance learning, live trends, waveform analysis and prediction results over the local network.

Suitable for technical demonstrations, energy audits, proof-of-concept trials and education. Final wiring, protection and outlet configuration can be adapted to project requirements.

Connectivity & Integration

Network

Wi-Fi module or Ethernet (LAN) deployment options.

Protocols

Modbus TCP for industrial integration. Secure transport options (TLS) can be implemented for security-conscious deployments.

Cloud Platform

Connect to cloud platforms such as Azure or Tuya ecosystem depending on deployment requirements and customer workflow.

Measurement Architecture

A layered measurement pipeline—from sensing to waveform sampling, computation, communications, and cloud dashboards— designed for reliability and scalable deployment.

Power Line

Single-phase / three-phase mains

CT + Voltage Sensing

Iron-core CT + voltage network

Analog Front-End

Conditioning & noise-aware design

6.4 kHz Sampling

Waveform acquisition for computation

Metering Engine

Power & energy parameter computation

MPU / MCU

ARM9 Linux MPU or industrial MCU

Modbus / TCP/IP

Wi-Fi / Ethernet, Modbus TCP, TLS

Cloud + Dashboard

Azure / Tuya / web reporting

Reference Images

Energy monitoring dashboard preview
Dashboard preview.
Power BI reporting example
Power BI reporting integration example.
Distribution board installation reference
Distribution board installation reference (deployment context).
Energy monitoring PCBA
Energy monitoring PCBA.

Want to Deploy Energy Monitoring in Your Project?

Share your phase requirements (single/three-phase), channel count, communication preference (Wi-Fi/Ethernet), and integration needs (Modbus/Cloud). We can propose the right architecture and deployment approach.

Contact NBE Open Demo Dashboard