Intellizens 3-Phase Energy Monitor

Accurate industrial energy and anomaly monitoring with smart control capabilities.

USE CASE

Instant visibility into energy consumption and anomalies across critical equipment allows rapid response to deviations, preventing unplanned stoppages and enhancing safety. Integrated control capabilities enable local and remote switching. ML-driven insights and per-connection views translate data into precise maintenance decisions and energy optimization, delivering lower downtime and reduced maintenance costs.

BENEFITS
     
  • Real-time energy monitoring and anomaly detection provide immediate visibility to abnormal conditions, accelerating response times and reducing downtime.
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  • Detects peak-load behaviors and per-connection performance for targeted energy efficiency improvements.
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  • Supports proactive maintenance strategies, lowering maintenance spending and improving TPM and OEE metrics.
KEY FEATURES
SPECIFICATIONS

KEY FEATURES

Real-time measurement of voltage, current, and power parameters for heavy machinery.

Integrated contactor control for local and remote switching, automation, and equipment protection.

Power consumption analytics with detailed graphical reports to identify peak load periods

Advanced connectivity options including Ethernet, LoRa, Wi-Fi, and LTE for reliable industrial communication.

Embedded ARM processor with machine learning algorithms for anomaly detection and predictive maintenance.

Suitable for panel-mount installation on input control boards and machine-level monitoring, capturing power, TPM, and OEE data.

Smart Advantages

ML Integration enables superior energy management and fault detection, while flexible connectivity and robust construction ensure seamless IIoT integration, reducing downtime and energy costs.

SPECIFICATIONS

Voltage Measuring Range 150V – 415 VAC (Line-To-Line)
Current Measuring Range Up To 150A
Type 3-Phase, 4-Wire KWh Meter
Frequency 50/60Hz
Control Type Contactor Switching, Both Manual And Automated
Dimensions 235.0 Mm x 195.0 Mm x 37.0 Mm
Connectivity Ethernet, Lora, Wi-Fi, LTE
Processor ARM-Based With Machine Learning Capabilities For Anomaly Detection
Data Outputs Real-Time Metrics, Historical Trend Reports, Alerts Via Connected Platform
Installation Panel-Mount For Input Control Boards And Machine-Level Energy Monitoring
Environmental Industrial-Grade Robustness Suitable For Factory Conditions