Case Details
The ARMxy BL370 series embedded industrial controller can fully leverage its high performance, flexible scalability, and industrial-grade stability in smart warehousing solutions. Below is an analysis of its typical applications in smart warehousing scenarios, based on the features of the BL370 series.
Application Scenarios of BL370 in Smart Warehousing
Smart warehousing involves automated equipment (such as AGVs, robotic arms, and conveyor belts), sensor networks, data acquisition and processing, and connectivity with cloud platforms. The following features of the BL370 series make it highly suitable for such scenarios:
- High-Performance Computing and AI Support: Equipped with the Rockchip RK3562/RK3562J processor (quad-core Cortex-A53, up to 2.0GHz) and a built-in 1TOPS NPU, it supports deep learning frameworks like TensorFlow and PyTorch, enabling image recognition (e.g., barcode scanning, shelf item detection) or path optimization in warehousing.
- Rich I/O Interfaces: Supports 1-3 10/100M Ethernet ports, RS485, CAN, DI/DO, AI/AO, and other interfaces, allowing connection to sensors, PLCs, RFID readers, etc., for cargo tracking, environmental monitoring (e.g., temperature and humidity), and device control.
- Flexible Scalability: Through X-series and Y-series I/O boards, users can configure RS232/485, CAN, GPIO, analog inputs/outputs, and more to adapt to various warehousing equipment (e.g., stackers, conveyors).
- Communication Capabilities: Supports WiFi, 4G/5G modules, and Bluetooth, suitable for real-time data transmission to Warehouse Management Systems (WMS) or cloud platforms for inventory management and remote monitoring.
- Industrial-Grade Stability: Operates in a wide temperature range of -40 to 85°C, with IP30 protection, and has passed electromagnetic compatibility and environmental adaptability tests, suitable for warehousing environments with potential vibration, dust, and temperature fluctuations.
- Software Support: Pre-installed with BLloTLink protocol conversion software, supporting protocols like Modbus, MQTT, and OPC UA, it seamlessly integrates with WMS, ERP, or mainstream IoT cloud platforms (e.g., AWS IoT, Alibaba Cloud). Node-RED and Docker enable rapid development of warehousing automation workflows.