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IoT for Smart Transformer

Real-time 3-phase voltage, current, oil temperature, and power factor monitoring for industrial distribution networks. Prevent catastrophic failures, optimize load distribution, and reduce maintenance costs across your transformer fleet.

What We Monitor

V

3-Phase Voltage

Phase A/B/C voltage (V), phase-to-phase, ground reference, imbalance detection

A

3-Phase Current

Phase A/B/C current (A), neutral current, load balance, overload detection

Oil Temperature °C

Transformer oil temp, hotspot calculation, thermal limits, aging rate tracking

GAS

Buchholz Relay Status

Oil level, gas accumulation rate, trip signals, maintenance alerts

PF

Power Factor

Leading/lagging, kVAR correction, efficiency ratio, demand side management

THD (Total Harmonic Distortion %)

Voltage THD, current THD, harmonic spectrum, power quality index

Tap Changer Position

Load tap position (0-32), number of operations, mechanical wear tracking

Load % (kW/MVA)

Real power (kW), reactive power (kVAR), apparent power (MVA), peak demand

Protection & Reliability Features

Overload Prevention

Real-time current monitoring prevents transformer overheating. Automatic load shedding alerts when approaching nameplate capacity. Prevents catastrophic failure and oil degradation.

Oil Condition Monitoring

Temperature-based aging rate calculation. Oil lifespan predictions based on operational history. Maintenance scheduling before oil break-down occurs.

Phase Imbalance Detection

Detects uneven phase loads that degrade transformer life. Alerts facility managers to redistribute loads. Extends equipment life by 5-10 years.

Harmonic Analysis

THD monitoring identifies non-linear loads (VFDs, DC chargers, UPS systems). Recommendations for power conditioning or load rebalancing.

Key Features

Fleet Management Dashboard

Monitor all transformers across industrial estate or utility grid. Compare loading patterns, efficiency ratios, and maintenance schedules. Centralized alerting system.

Predictive Maintenance

Machine learning models forecast remaining useful life (RUL). Recommend maintenance intervals based on actual operating conditions, not arbitrary schedules.

Efficiency & Cost Reporting

kWh loss calculations. Cost-to-benefit analysis for tap changer operations. Identify opportunities to reduce transformer tank temperature and extend life.

Integration with SCADA/EMS

Modbus TCP, DNP3, and IEC 60870-5-104 protocols. Direct integration with utility SCADA systems. Automatic load shedding coordination via remote signalling.

Connectivity & Protocols

How It Works

1

Install Voltage & Current Sensors

CT (current transformer) clamps installed on primary/secondary windings. VT (voltage transformer) connections to secondary side. Oil temperature RTD inserted in top-oil pocket.

2

Connect IoT Gateway

Multifunction relay / IoT gateway mounted in or near transformer cabin. Modbus or DNP3 connection to existing SCADA. Fibre optic or cellular backup link to cloud.

3

Monitor & Optimize Load

Dashboard shows real-time 3-phase voltage, current, temperature, power factor. Historical analysis identifies loading patterns. Alerts prevent overload and premature aging.

Who Is This For?

Industrial Estates

Multi-building power distribution. Load forecasting, demand management, cost allocation per tenant.

Utilities & RECs

DISCOM grid monitoring, loss reduction, feeder optimization, predictive maintenance budgeting.

Real Estate Developers

Large residential/commercial complexes with multiple substations. 24/7 monitoring for tenant SLAs.

Smart Cities

Integrated grid intelligence, demand response coordination, renewable energy balancing.

Manufacturing & Data Centres

Mission-critical power. Early failure detection prevents production loss. Uptime assurance.

Power Generation Plants

Step-up and step-down transformers. Generator protection, grid synchronization monitoring.

Maximize Transformer Life, Minimize Outages

Protect your transformers with smart health monitoring, early-warning alerts, and load optimization — act before failures happen, not after.

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