TransMonix

Electrical transformers are intricate systems requiring seamless coordination and regular maintenance for smooth operation. Yet, failures occur due to mechanical faults, electrical issues, and human errors. Identifying weak links isn’t always straightforward.

TransMonix, our AI/ML-driven and cost-effective Distribution Transformer Remote Monitoring and Diagnosis solution, provides real-time insights into transformer health. Powered by advanced machine learning algorithms, it continuously analyzes critical parameters like voltage, current, oil temperature, and winding temperature. By leveraging AI-based predictive analytics, TransMonix detects anomalies early, preventing failures before they occur.

The system securely transmits sensor data to the cloud, allowing for remote access and real-time monitoring. Its intelligent AI engine identifies deviations—such as overheating or electrical imbalances—and sends instant alerts to your laptop or phone. This AI-driven predictive maintenance reduces manual inspections, enhances reliability, optimizes operational efficiency, and extends transformer lifespan, ensuring a more stable and efficient power distribution network.

TransMonix, our AI- and ML-powered IoT-based Distribution Transformer Monitoring Solution (DTMS), ensures efficient and proactive transformer management. It continuously collects real-time data through high-precision sensors and securely transmits it to the cloud via a SIM card, enabling seamless remote monitoring from any location. By providing instant insights into transformer conditions, TransMonix detects potential issues before they escalate into failures.

Unlike traditional scheduled maintenance, TransMonix uses AI-driven condition-based monitoring, triggering alerts only when needed. This data-driven approach optimizes resource allocation, reduces downtime, and enhances transformer reliability. Leveraging real-time analytics, businesses can prevent unexpected failures and extend the lifespan of critical electrical infrastructure.