BL244 EdgePLC RK3562J ARM Industrial AI Edge Computer
Short Description
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.
Brands: BLIIOT
Introduction
Specifications
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 (4×Cortex-A72 + 4×Cortex-A53), supports up to 32 N-series I/O modules, and comes with a rich AI vision stack (YOLOv5/8 + OpenCV) – 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)
4× Cortex-A72 + 4× 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
2× 10/100/1000M Ethernet + 1× 10/100M (BL244A)
2× USB 3.1 (5 Gbps), 1× 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)
2× RS485 or 1× RS485 + 1× 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 ±6kV, air ±8kV)
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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