BL244 EdgePLC RK3562J ARM Industrial AI Edge Computer
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The BL244 EdgePLC is an industrial AI edge controller designed for the next generation of intelligent automation systems. It integrates deterministic PLC control, high-performance computing, and AI inference acceleration into a single DIN-rail industrial device.
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EdgePLC BL244 Series
Industrial AI Edge Controller
High-performance ARM-based AI edge controller integrating real-time control and edge inference. Features a 6 TOPS NPU, octa-core CPU (4ÃCortex-A72 + 4ÃCortex-A53), supports up to 32 N-series I/O modules, and comes with a rich AI vision stack (YOLOv5/8 + OpenCV) â perfect for smart manufacturing, robotics, and energy systems.
Core Features
6 TOPS NPU, octa-core CPU, and modular I/O for edge AI & control
High-performance AI Processor
Rockchip RK3576J/RK3576 (8nm, 64-bit)
4Ã Cortex-A72 + 4Ã Cortex-A53, up to 2.2 GHz
Dedicated NPU: 6 TOPS, supports INT4/8/16, FP16/BF16/TF32
Mali-G52 MC3 GPU, 16M ISP, 8K video decode / 4K encode
2/4/8 GB LPDDR4X, 16/32/64 GB eMMC
Rich I/O & Distributed Expansion
2Ã 10/100/1000M Ethernet + 1Ã 10/100M (BL244A)
2Ã USB 3.1 (5 Gbps), 1Ã HDMI 2.1 (BL244A, 4K@120fps)
M.2 NVMe (2230/2242), Mini PCIe for 4G/5G
Supports up to 32 N-series I/O modules (DI/DO, AI/AO, RTD, TC, PWM)
2Ã RS485 or 1Ã RS485 + 1Ã CAN-FD (X90/X91 options)
Intelligent Software & AI Ecosystem
Ubuntu 20.04 / EdgePLC-OS (Linux-RT 6.1.115)
OpenPLC, NexPLC, CODESYS Runtime (IEC 61131-3)
IGH EtherCAT master, Node-RED, Docker & K3s
YOLOv5/8 + OpenCV, TensorFlow Lite, PyTorch Mobile
BLRAT remote access, QuickConfig, BLIoTLink
Industrial-grade Reliability
ESD, EFT, Surge immunity (level 3 per IEC 61000-4)
-40°C to +85°C industrial temperature (RK3576J)
DIN35 rail mounting, IP30 protection
Independent hardware watchdog, reverse polarity protection
Vibration / shock tested per GB/T 2423
Key Specifications Snapshot
AI performance and flexibility at the edge
6
TOPS
NPU AI Compute
32
+
Max I/O Modules
64
GB
eMMC Storage
8
GB
LPDDR4X
Typical Applications
From AI vision to real-time control
AGV / Robotics
Visual navigation, obstacle detection, motion control
Machine Vision
YOLO-based object detection, quality inspection, OCR
Energy Storage (EMS/BMS)
Battery monitoring, predictive maintenance
PV & Inverter Control
Power optimization, anomaly detection
Edge AIoT Gateway
Data fusion, protocol conversion, local inference
Rail Transit
Signal control, passenger counting, condition monitoring
Quality & Reliability
Certified for harsh industrial environments
EMC Compliance
GB/T 9254 / CISPR 32 Class A
ESD level 3 (contact Âą6kV, air Âą8kV)
EFT level 3 (power 2kV, signal 1kV)
Surge level 3 (diff. 2kV, common 4kV)
Voltage dips / interrupts tested
Environmental Tests
-40°C cold start & +85°C high temp run (RK3576J)
Damp heat 40°C, 85% RH for 48h
Sinusoidal vibration 5-500Hz, 2g
Free fall 0.8m (packaged)
IP30 protection
Software & Support
Preinstalled BLIoTLink, BLRAT, QuickConfig
Ubuntu file system & kernel source (Linux 6.1)
Complete AI examples: YOLOv5/8, OpenCV, TensorFlow Lite
Docker & K3s ready, long-term maintenance
SDK, demo programs, and professional support
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