POWER MANAGEMENT THAT THINKS AHEAD

Home-grown smart meters detect disturbances in real time at input points and individual machines, preventing operational issues before they occur.

Real-time thermal monitoring of wires, busbars, and junctions prevents failures by early arc fire alerts, replacing expensive periodic thermography with cost-effective, easy-install sensors.

Dynamic load management via customizable automation rules reduces overload risks and energy waste while enhancing compliance.

Support for MQTT, Ethernet, WiFi, Bluetooth, and LoRaWAN assures seamless, secure industrial data flow.

ML-powered sensors and powerful edge computers process power data locally, enabling fast anomaly detection and actionable insights with minimal latency.

Tailored visualizations and ML-driven predictive maintenance integrate smoothly with existing BMS and SCADA platforms.

Seamless integration with smart circuit breakers like AFDDs and RCDs enhances fault isolation and system resilience.

Solutions grow with your facility—from workshops to entire plants—with distributed processing reducing central load and improving decision speed.

✔ Maintains uninterrupted power quality to protect sensitive servers and data storage hardware.

✔ Supports load balancing to reduce peak power costs and improve energy efficiency.

✔ Ensures uninterrupted power quality that is critical for sensitive manufacturing processes.

✔ Real-time load and thermal monitoring prevent costly equipment failures and support stringent safety standards.

✔ Maintains ultra-stable power quality critical for defect-free chip fabrication and high yield.

✔ Enables predictive maintenance to avoid costly downtime and equipment damage, supporting tight production schedules.

✔ Precise thermal and load control safeguards against fire hazards and equipment degradation.

✔ Edge computing enables rapid detection of anomalies in critical energy-intensive processes.

✔ Advanced power quality analysis and fault detection reduce downtime in delicate assembly lines.

✔ Automated load balancing improves energy efficiency and protects sensitive electronic devices.

✔ Dynamic load management supports complex assembly operations and reduces peak demand charges.

✔Real-time alerts and centralized control enhance operational safety across diverse power loads.

✔ Enhances safety by continuous monitoring of power loads in hazardous environments, preventing electrical faults and explosions.

✔ Optimizes energy consumption in high-demand chemical processes, reducing operational costs and environmental impact.

✔ Ensures reliable power for refrigeration and processing equipment, maintaining product safety and quality.

✔ Reduces energy waste through dynamic load management, supporting sustainability and cost savings.

✔ Provides robust protection for heavy machinery via real-time thermal and load monitoring.

✔ Improves operational continuity by preventing overloads and enabling predictive maintenance.

✔ Prevents power fluctuations that could compromise temperature-sensitive storage.

✔ Enables scalable monitoring and control for energy savings and operational reliability.

✔ Scalable power monitoring adapts to growing production lines and varied load demands.

✔Predictive maintenance minimizes costly stoppages in fast-paced manufacturing environments.

✔ Optimizes distributed power management for improved efficiency and grid stability.

✔ Supports integration of diverse energy sources with intelligent load balancing and fault detection.