Overview
The Edge Computing Device ARMxy BL410 series is a high-performance embedded controller specifically designed for industrial edge computing scenarios. With its powerful heterogeneous computing architecture, industrial-grade reliability, and flexible expansion capabilities, it has become the ideal choice for intelligent equipment upgrades. This product deeply integrates data processing, protocol conversion, and AI inference capabilities, enabling data collection, analysis, and decision-making at the device level. It effectively addresses pain points in traditional industrial automation systems, such as "data silos," strong cloud dependency, and insufficient real-time performance.
Core Value Proposition
Integrated Edge Intelligence: Combines control, communication, and AI computing into a compact 110mm chassis, achieving a "sensing-decision-execution" closed loop.
Full Adaptation to Industrial Scenarios: With a wide-temperature design (-40~85°C), IP30 protection, and 19 EMC test certifications, it excels in various harsh industrial environments.
TCO Optimization Expert: A single device can replace traditional PLC+gateway+industrial computer combinations, reducing system complexity and maintenance costs.
Advantage Highlights
High-Performance Heterogeneous Computing Architecture
Quad-core Cortex-A55 + NPU combination: Up to 2.0GHz main frequency, paired with a 1TOPS NPU, capable of parallel processing for control tasks and AI inference (e.g., equipment anomaly detection, visual analysis).
Industrial-grade real-time performance: Supports Linux-RT kernel with task scheduling latency <50μs, meeting stringent real-time requirements for motion control and similar scenarios.
Industrial-Grade Reliability Design
Wide-temperature and wide-voltage adaptation: Operates at -40°C to 85°C with 9-36V DC input (reverse connection protection), passes GB/T-level EMC tests, and remains stable in high-interference environments like frequency converters and power cabinets.
Dual watchdog mechanism: Hardware watchdog + software heartbeat monitoring, with an annual device crash rate of <0.1%.
Flexible Interface Expansion Capabilities
Modular I/O design: Expandable via X/Y boards:
X series: Supports up to 12 DI + 8 DO (X28 board).
Y series: Supports PT1000 thermocouples (Y52), ±10V differential AI (Y36), and relay outputs (Y24).
Multi-protocol compatibility: A single device can simultaneously handle industrial protocols like Modbus RTU, CANopen, and EtherCAT.
Full-Stack Edge AI Support
Development convenience: Pre-installed TensorFlow/PyTorch runtime with NPU operator optimization toolchain, reducing AI model deployment time by 60%.
Typical applications:
▶ Vibration sensor FFT analysis (fault prediction)
▶ Infrared thermal imaging temperature monitoring (industrial equipment)
▶ QR code/OCR recognition (logistics sorting)
Cloud-Edge Collaborative Ecosystem
Protocol conversion: BLIoTLink Edge Gateway software converts field device data to MQTT/OPC UA, directly connecting to platforms like AWS IoT and Alibaba Cloud.
Remote maintenance: BLRAT tool enables SSH tunnel penetration, improving debugging efficiency by 3x.
Compact Industrial Design
DIN rail mounting: 110×83×42mm size, saving control cabinet space.
Full-metal enclosure: Aluminum alloy + stainless steel material, IP30 protection rating, resistant to mechanical shocks.
Typical Application Comparison (vs. Traditional PLC)
| Feature | BL410 | Traditional PLC |
|---|---|---|
| Data processing | Supports 4K video analysis + 10 AI models in parallel | Logic control only |
| Protocol compatibility | Native support for 15+ industrial protocols | Requires additional gateways |
| Development flexibility | Full ecosystem support (Python/C++/Node-Red) | Dedicated ladder logic programming |
| Total Cost of Ownership (TCO) | Saves 40% by replacing PLC+gateway+industrial computer | High multi-device coordination costs |
Typical Application Results
▶ A photovoltaic power station using BL410 achieved:
Inverter data collection latency reduced from 2s to 200ms
String fault recognition accuracy improved to 99.2%
On-site debugging time for maintenance personnel reduced by 70%
▶ An automotive welding line application showed:
AI-based welding quality detection speed reached 15 FPS
CAN bus device compatibility expanded by 3x
Production line OEE increased by 22%
Application Scenario Recommendations:
✔ Smart production lines requiring local AI processing
✔ Energy management systems integrating multi-protocol devices
✔ Space-constrained rail vehicle control systems
Shenzhen BeilaiTechnology provides a complete [Edge Computing Development Kit], including:
YOLOv5 model migration tools
Modbus-to-MQTT configuration templates
High-precision PID control example code
Get it on our official website: www.BLIIoT.com
