In modern photovoltaic (PV) power stations, real-time monitoring and intelligent control are essential to ensure safe, stable, and efficient power generation. The ARM Industrial PC (IPC) serves as a key edge computing unit in the PV SCADA (Supervisory Control and Data Acquisition) system, providing robust data acquisition, local analytics, and reliable communication between field devices and central monitoring platforms.
The ARM Industrial PC BL410 Series is deployed at the field level of a photovoltaic station, connecting to various power generation and environmental monitoring devices through multiple industrial interfaces (RS485, CAN, Ethernet, DI/DO).
It collects and processes data from:
Inverters – voltage, current, power, and fault status;
Combiner Boxes – string current, voltage, and insulation monitoring;
Weather Stations – solar irradiance, ambient temperature, wind speed, and direction;
Central SCADA or Cloud Platform – via 4G/5G or Ethernet for remote supervision and data analysis.
Real-time Data Acquisition: Collects field parameters through Modbus, CAN, or MQTT protocols and ensures millisecond-level data refresh.
Edge Analytics: Calculates energy yield, efficiency, and power curves locally to reduce cloud processing load.
Intelligent Alarm Management: Detects inverter over-temperature, string overcurrent, or communication interruptions and triggers alerts automatically.
Local Data Buffering: Ensures data integrity through local storage and automatic retransmission after network recovery.
Web-based Visualization: Supports local HMI or browser-based dashboards for on-site operation and maintenance staff.
High Performance with Low Power Consumption: Powered by ARM Cortex-A series processors, suitable for 24/7 continuous operation.
Flexible Communication: Supports Modbus RTU/TCP, IEC104, OPC UA, and MQTT protocols for easy integration with existing SCADA systems.
Industrial-grade Reliability: Wide temperature and voltage tolerance, fanless design, and metal enclosure for harsh outdoor conditions.
Edge Intelligence: Capable of running AI models for fault prediction, component degradation analysis, and efficiency optimization.
By deploying ARM Industrial PCs at the edge of photovoltaic fields, operators gain real-time visibility into power generation status, quickly respond to faults, and improve overall energy yield. The combination of edge computing and intelligent monitoring helps reduce maintenance costs and ensures the long-term stability of large-scale PV farms.
