In modern smart grids and substation automation systems, circuit breakers play a vital role in protection and control. Their operational reliability directly affects the safety and stability of the entire power network.
Traditional breaker monitoring mainly relies on manual inspection or basic signal logic, which cannot effectively identify potential issues such as delayed action, contact sticking, or mechanical wear. These hidden failures may lead to malfunctions or even system outages.
With the advancement of edge computing and artificial intelligence, ARM-based AI edge computers have become an innovative solution for intelligent monitoring in substations. By integrating on-device AI algorithms, these systems can analyze real-time breaker status data locally and detect anomalies before failures occur.
Data Acquisition Layer
Various sensors are deployed around the circuit breaker to collect multi-dimensional data:
Current and voltage sensors: Capture electrical characteristics during switching.
Temperature and vibration sensors: Monitor contact heating and mechanical movement.
Position and digital inputs: Record breaker open/close positions and operation timing.
Edge AI Computing Layer (ARM AI Edge Computer BL440 Series)
The ARM AI edge computer, equipped with a high-performance NPU and AI inference engine, performs real-time analysis of collected data directly on-site.
Applies deep learning models to identify breaker operating patterns.
Detects delayed operation, sticking, or jamming in real time.
Generates health assessment reports and alarm messages, storing historical data for trend analysis.
Communication and Application Layer
Analysis results are transmitted to the substation SCADA or cloud platform through Modbus, MQTT, or IEC 61850 protocols.
These upper systems can aggregate data from multiple breakers, enabling centralized monitoring, remote maintenance, and cloud-based AI model optimization.
On-site AI Diagnosis: Real-time analysis at the edge without cloud dependency, with response times below 100 ms.
Misoperation Prevention: AI algorithms identify abnormal operation characteristics early, avoiding unwanted tripping or non-action.
Visualized Maintenance: Local HMI or web dashboards provide intuitive visualization of breaker health and status trends.
Low Power and High Reliability: ARM platforms offer compact design, high durability, and low power consumption — ideal for harsh substation environments.
By integrating ARM AI edge computers, substations can shift from traditional monitoring to intelligent diagnosis.
The system greatly enhances real-time visibility and accuracy of breaker condition monitoring while reducing manual inspection costs.
It also enables predictive maintenance and can seamlessly integrate with protection relays, asset management, and other automation systems — paving the way toward a smarter and safer power grid.
The ARM AI edge computer bridges artificial intelligence and power automation, empowering substations with self-diagnostic and anomaly prediction capabilities.
This solution not only improves the reliability of circuit breaker operations but also strengthens the overall safety and stability of modern power systems.
