The EdgePLC Controller is a new-generation industrial AI edge controller launched by Shenzhen Beilai Technology Co., Ltd. It deeply integrating real-time control with edge intelligent computing capabilities. Its core objective is to break down the barriers between Information Technology (IT) and Operational Technology (OT), achieving the integrated combination of control, computing, communication, and maintenance.
Unlike traditional PLCs, EdgePLC not only executes logic control tasks but also performs AI inference, protocol conversion, data preprocessing, and real-time communication at the device edge, truly realizing "control as computing, data as value."
With the rapid development of smart manufacturing, energy management, IoT, and other scenarios, industrial sites demand higher capabilities in the following areas:
Real-Time Control: Microsecond-level task scheduling, supporting motion control and high-speed I/O response.
Intelligent Computing: Local execution of AI models, such as image recognition and predictive maintenance.
Protocol Integration: Compatibility with industrial protocols like EtherCAT, Modbus, OPC UA, and MQTT.
Rapid Deployment: Support for containerized applications and modular expansion.
Remote Operation and Maintenance: Providing unified tools for remote configuration, monitoring, and management.
Traditional PLCs have limited computing power, while industrial computers, though powerful, lack real-time capabilities. Through hardware-software co-design, EdgePLC truly achieves a unified platform for control and computing.
EdgePLC supports a range of processors from high-performance RK3588 and Raspberry Pi CM5 to cost-effective T113-i, catering to different scenarios from complex AI inference to basic logic control. Motherboard models cover the BL300 to BL460 series and extend support for N-series distributed I/O modules and various communication interfaces (RS485, CAN, etc.).
Users can choose different software solutions based on their needs:
Standardized PLC development environment based on Codesys, supporting EtherCAT and Modbus TCP.
Real-time control solution based on Ubuntu + OpenPLC, compliant with IEC 61131-3 standards.
IGH EtherCAT Master + OpenPLC for high-precision motion control.
Node-RED for visual flow programming, enabling quick integration with various industrial protocols.
Docker containerization supporting rapid application deployment and isolated operation.
EdgePLC integrates remote operation and maintenance tools (BLRAT), quick configuration tools (QuickConfig), IoT platforms (BLLoTLink), and AI-assisted tools (AlKeywords), forming a complete toolchain from development and deployment to operation and maintenance.
Smart Production Lines: Visual inspection, robot collaboration, AGV scheduling.
Energy Management: Energy Storage EMS, photovoltaic monitoring, power distribution automation.
Device Networking: Protocol conversion, data reporting, edge-based warnings.
Secondary Development: Support for languages like Python, QT, and C, facilitating customized function development.
The EdgePLC Controller is more than just a hardware product; it represents a new paradigm of "edge convergence" in industrial automation. By unifying control, computing, and communication on a single platform, it helps enterprises reduce system integration costs, improve operation and maintenance efficiency, and accelerate intelligent transformation.
As Industry 4.0 and digital twins gradually materialize, EdgePLC is becoming a key hub connecting the physical world with digital systems, driving industrial automation toward a more flexible, intelligent, and open future.
