BL245 EdgePLC RK3588 Real-Time Industrial AI Edge Controller
Short Description
The BL245 EdgePLC is a high-performance ARM-based edge controller merging real-time control and edge computing. Supports up to 32 N‑series I/O modules, multiple PLC runtimes, and rich industrial protocols for smart manufacturing and energy systems.
Brands: BLIIOT
Introduction
Specifications
EdgePLC BL245 Series
Industrial AI Edge Controller
High-performance ARM-based AI edge controller with 6 TOPS NPU, octa-core CPU (4×Cortex-A76 + 4×Cortex-A55), supports up to 32 N-series I/O modules, 8K video, and a rich AI vision stack (YOLOv5/8 + OpenCV). Perfect for smart manufacturing, robotics, and energy systems.
Core Features
6 TOPS NPU, octa-core CPU, 8K video, and modular I/O
High-performance AI Processor
Rockchip RK3588J/RK3588 (8nm, 64-bit)
4× Cortex-A76 + 4× Cortex-A55, up to 2.4 GHz
Dedicated NPU: 6 TOPS, supports INT4/8/16, FP16/BF16/TF32
Mali-G610 MP4 GPU, dual ISP (48MP), 8K video decode / 8K encode
4/8/16 GB LPDDR4X, 32/64/128 GB eMMC
Rich I/O & Distributed Expansion
2× 10/100/1000M Ethernet + 1× 10/100M (BL245A)
2× USB 3.1 (5 Gbps), 1× HDMI 2.1 (BL245A, 8K@60fps)
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 (X90)
Intelligent Software & AI Ecosystem
Ubuntu 20.04 / EdgePLC-OS (Linux-RT 5.10)
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 (RK3588J)
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
128
GB
eMMC Storage
16
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 (RK3588J)
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 5.10)
Complete AI examples: YOLOv5/8, OpenCV, TensorFlow Lite
Docker & K3s ready, long-term maintenance
SDK, demo programs, and professional support
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