BY BIJDUTRONIX INNOVATIONS PVT. LTD.
Real-time monitoring. AI-driven insights. Instant alerts. Empowering utilities to deliver reliable power, reduce outages, extend asset life and lower operational costs.
Distribution transformers are the backbone of the power grid, yet most utilities have zero visibility into their real-time condition.
Transformer faults strike without warning, causing widespread outages, grid instability and significant revenue loss.
Maintenance teams act only after failures. Manual inspections are slow, costly and cannot detect early-stage faults.
No condition monitoring, no actionable data to prioritize assets, optimize schedules or prevent repeat failures.
AI-Powered Distribution Transformer Monitoring Platform transforming every transformer into a connected, intelligent asset.
Continuous tracking of voltage, current, temperature and power quality across all transformers, 24/7.
Machine learning models analyze sensor patterns to detect anomalies and predict failures before outages happen.
Automated WhatsApp, SMS and email notifications alert field engineers instantly when a fault risk is detected.
Intuitive cloud dashboard with analytics, trends and reports for better decision-making and operational efficiency.
Built for rugged environments with enterprise-grade security. Data encrypted and access controlled.
Deploy in under 30 minutes. Remote firmware updates, easy commissioning, no complex infrastructure needed.
End-to-End Intelligent Monitoring and Analytics Platform
Edge IoT Controller collects Voltage, Current, Temperature & Power Quality
4G / NB-IoT with encrypted, secure data transmission
Fault Prediction, Anomaly Detection, Trend Analysis & Health Index
Real-time Monitoring, Performance Analytics & Reports
Instant via WhatsApp, SMS & Email
From Reactive Maintenance to Predictive Intelligence
Reduce outages and ensure stable power supply across the distribution network.
Detect issues early and restore faster with real-time visibility and AI insights.
Optimize maintenance and reduce operational expenses by 20-40%.
Condition-based maintenance increases asset lifespan by 20-30%.
Remote insights minimize field inspections, saving time and resources.
Reliable service delivery builds consumer trust and satisfaction.
Compared to Manual Monitoring, Traditional SCADA and Generic IoT Solutions
| Feature | Manual | SCADA | Generic IoT | ESPPowerTrack |
|---|---|---|---|---|
| Real-Time Monitoring | ||||
| AI Fault Prediction | Limited | Limited | ||
| WhatsApp/SMS Alerts | Optional | Limited | ||
| Plug-and-Play | ||||
| Deployment Time | N/A | 2-6 Months | 2-5 Days | < 30 Minutes |
| Predictive Maintenance | Limited | Limited | ||
| Scalability | Low | Medium | High | Very High |
| Total Cost | Very High | High | Medium | Lowest |
India has 5M+ distribution transformers. Smart Grid & RDSS missions are unlocking a massive addressable market.
Join the utilities moving from reactive maintenance to predictive intelligence. Let's power a smarter, stronger, sustainable future together.