Energy7

IoT-Based Condition Monitoring

Remote Diagnostics

Predictive Maintenance

Real-time monitoring of railway equipment using IoT sensors, ensuring continuous system health checks and anomaly detection.

Remote monitoring of railway systems from centralized control rooms, reducing the need for on-site inspections and interventions.

AI and ML algorithms predict equipment failures, allowing for proactive maintenance and minimizing unplanned downtime.

4G/5G Wireless Networking

Generative AI & Data Analytics 

Maintenance Information System (MIS)

Advanced 4G/5G networks ensure reliable, long-range data transmission from IoT sensors to control centers.

AI-driven data analysis provides actionable insights, enabling intelligent decision-making based on real-time and historical data.

Tracks maintenance activities, schedules, and documentation for efficient, organized management of railway operations.

IoT Sensors

Field Transmission Unit (FTU)

Predictive Maintenance Dashboard

Various sensors for monitoring temperature, vibration, voltage, and strain across critical railway systems and infrastructure.

Collects data from sensors and transmits it to central systems, enabling real-time diagnostics and monitoring.

User-friendly dashboard visualizes data analytics and provides predictive maintenance alerts for proactive railway management.

Edge Processing Units

Wireless Communication Modules: 

Real-time processing of sensor data at the network edge, reducing latency and improving response times.

Wireless communication systems that facilitate seamless data transmission over long distances using IP or serial communication.

Real-Time Condition Monitoring