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Software and embedded web UI

A digital-twin platform that detects electrical, mechanical and operational anomalies and presents them in a browser interface built for maintenance teams.

Real-time acquisition and analytics engine

High-speed voltage and current analysis using FFT and ESA
Load characteristics, power quality and mechanical imbalance data

AI and machine learning diagnostics

Asset baseline model and ML-based anomaly detection
Predictive monitoring for motors, pumps, fans and compressors
Transformer windings, bushings and tap changers

Web server UI

Live measurements, power quality, diagnostic results
Event and alarm management, reporting

Communication and integration

Modbus TCP/IP and Modbus RTU
Dual-port Ethernet switch with RSTP
RS-485 multi-drop and daisy-chain wiring

Inside the web UI

Actual screens of the SV500 embedded web UI, opened directly in a browser with nothing to install.

Dashboard — Voltage, current and frequency, unbalance/THD/power factor, energy usage, equipment information and condition status on one screen.

Overview

Monitored assets by status, active alarms and maintenance due.

Asset detail

Health score, V/I trends, waveform and spectrum, diagnosis result and alarm history.

Power quality

Harmonics up to the 63rd order, imbalance, sag, swell, transients, leakage current and power factor.

Reports

Diagnostic reports, alarm summaries and trend reports with data export.