EdgePLC Selection Guide: Integrated Control-Computing for AI
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EdgePLC Selection Guide: Integrated Control-Computing for AI

2026 CIIF integrated control-computing guide: choose EdgePLC with CODESYS PRO/SM/CR, SOM platforms BL237-BL246, and NPU for industrial AI control.
EdgePLC Selection Guide: Integrated Control-Computing for AI
Case Details

2026 CIIF Observation: How to Choose an Integrated Control-Computing Industrial Computer

At the 2026 Shanghai Industrial Fair, “integrated control-computing” became the dominant theme in the controller hall. It has moved from concept to productized deployment. For manufacturers, the question is no longer whether to adopt it, but how to choose the right platform.

What Is an Integrated Control-Computing Computer?

It sits between a traditional PLC and a general-purpose industrial PC. It must provide PLC-level real-time control, integrate an NPU for local AI inference, and converge communication, computing, and O&M into one device. Traditional PLCs lack AI compute; industrial PCs lack deterministic real-time performance. Integrated control-computing bridges that gap.

Key Selection Dimensions

  • Real-time control: hard real-time scheduling and EtherCAT master support
  • NPU computing power: determines the scale of AI models
  • Programming ecosystem: IEC 61131-3 and CODESYS version support
  • I/O expansion: flexibility for field devices
  • Operating temperature and EMC rating: deployment adaptability

EdgePLC: A Controller-Level Solution

EdgePLC is Beilai Technology’s industrial AI edge controller series. Its architecture combines an ARMxy high-performance processor with distributed I/O expansion, integrating PLC real-time control, AI edge inference, and industrial communication.

CODESYS Versions

Version

Capabilities

Applications

PRO

IEC 61131-3 logic control, EtherCAT, Modbus TCP

Basic PLC, process control, equipment automation

SM

PRO + single/multi-axis synchronized motion (electronic cam/gear)

Multi-axis motion, packaging, winding machines

CR

SM + G-code parsing, 3D path interpolation, robot kinematics

CNC machine tools, SCARA/Delta robots

Engineers can use the familiar CODESYS environment and migrate existing PLC programs with minimal learning curve.

SOM Platform Matrix

Model

Processor

NPU

Typical Use

BL237

RK3562J, 4×A53 + M0

1 TOPS

Lightweight AI inspection, AGV navigation

BL241

RK3568J, 4×A55

1 TOPS

Vision-guided robots, edge AIoT gateway

BL244

RK3576J, 4×A72 + 4×A53

6 TOPS

Multi-camera vision, motion + AI fusion

BL245

RK3588J, 4×A76 + 4×A55

6 TOPS

Flagship AI inference, CNC + robotics

BL246

BCM2712, 4×A76

Hailo expandable

Raspberry Pi ecosystem, elastic AI

All models support Linux-RT, IGH EtherCAT master, IEC 61131-3 programming (OpenPLC/NexPLC/CODESYS), YOLOv5/8 + OpenCV, and DIN35 mounting. BL237–BL245 operate from -40°C to 85°C with EMC Level 3 protection; BL246 supports -20°C to 85°C.

Four-Step Decision Framework

  • Compute tier: No AI → BL237/BL241. Local vision or vibration analysis → BL244/BL245. Elastic AI growth → BL246.
  • CODESYS version: Logic only → PRO. Synchronized motion → SM. CNC or robotics → CR.
  • I/O configuration: Up to 32 N-series modules; choose by signal type (DI/DO, AI/AO, RTD/TC, PWM/pulse).
  • Deployment environment: -40~85°C for harsh sites; -20~85°C for Raspberry Pi ecosystem.

Typical Scenarios

  • Smart line visual inspection + control: BL245 (PRO) + N-series I/O. The 6 TOPS NPU runs YOLO locally; results trigger sorting cylinders directly—no cloud round trip.
  • Multi-axis motion + vision:BL244 (SM) + N-series I/O. Vision positioning results are written directly into motion control logic for precise synchronization.
  • CNC + robot collaboration:BL245 (CR) + N-series I/O. G-code parsing, 3D interpolation, and robot kinematics run on one device.
  • Energy storage EMS / PV management:BL244 (PRO) + N-series I/O. NPU runs battery health prediction; CODESYS handles charge/discharge and protection logic; MQTT connects to the cloud EMS.

Conclusion

Integrated control-computing is redefining the industrial controller. EdgePLC combines PLC control, local AI inference, and industrial communication in a single DIN-rail device—from entry-level to flagship. Selection is about matching compute, software, I/O, and environment. With CODESYS support across the series, EdgePLC gives users open hardware and software choice.

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