BL246 EdgePLC Raspberry Pi CM5 Industrial AI Edge Controller

Short Description

The BL246 powered by Raspberry Pi 5 core (Broadcom BCM2712, quad-core Cortex-A76 @2.4GHz), supports up to 32 N‑series I/O modules, M.2 expansion for AI accelerators (Hailo etc.), and a rich open‑source ecosystem. Perfect for AIoT, robotics, and smart manufacturing.

Introduction
Specifications

EdgePLC BL246 Series

Industrial AI Edge Controller
Powered by Raspberry Pi 5 core (Broadcom BCM2712, quad-core Cortex-A76 @2.4GHz), supports up to 32 N-series I/O modules, M.2 expansion for AI accelerators (Hailo etc.), and a rich open-source ecosystem. Perfect for AIoT, robotics, and smart manufacturing.
  
Core Features
Raspberry Pi 5 core, modular I/O, and AI-ready expansion
 
  
Raspberry Pi 5 Core
Broadcom BCM2712, 16nm, 4× Cortex-A76 @2.4GHz
VideoCore VII GPU, OpenGL ES 3.1 / Vulkan 1.2
8/16/32/64GB eMMC, 2/4/8/16GB LPDDR4X
M.2 NVMe (2242) for SSD or AI accelerator (Hailo)
Full Raspberry Pi software & community support
  
Rich I/O & Distributed Expansion
1× 10/100/1000M + 1×/2× 10/100M Ethernet (BL246/A)
2× USB 3.1 (5 Gbps), 1× HDMI 2.1 (BL246A, 4K@60fps)
Mini PCIe for Wi-Fi/4G/5G, SIM slot, antenna
Supports up to 32 N-series I/O modules (DI/DO, AI/AO, RTD, TC, PWM)
2× RS485 (X90) isolated interfaces
  
Intelligent Software & AI Ecosystem
Ubuntu 20.04 / EdgePLC-OS (Linux 6.6.78)
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)
-20°C to +85°C industrial temperature (CM5 variants)
DIN35 rail mounting, IP30 protection
Independent hardware watchdog, reverse polarity protection
Vibration / shock tested per GB/T 2423
  
Key Specifications Snapshot
Performance and flexibility at the edge
 
 
2400
MHz
CPU Frequency
 
32
+
Max I/O Modules
 
64
GB
eMMC Storage
 
16
GB
LPDDR4X RAM
  
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
-20°C cold start & +85°C high temp run (CM5)
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 6.6)
Complete AI examples: YOLOv5/8, OpenCV, TensorFlow Lite
Docker & K3s ready, long-term maintenance
SDK, demo programs, and professional support
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