ARMxy BL335 + Smart Street Light Intelligent Control Solution
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ARMxy BL335 + Smart Street Light Intelligent Control Solution

ARMxy BL335 + smart street light control: energy saving, remote O&M, O&M cost reduction
Street Light Intelligent Control
Case Details

I. Executive Summary

Targeting municipal and park street lights’ core pain points—high energy consumption, tedious O&M, and poor scenario adaptability—this solution leverages the ARMxy BL335 industrial-grade embedded computer (domestic Allwinner T113-i chip, flexible IO expansion, low-power design). It integrates ambient light sensing and human-vehicle detection for 30%-40% energy savings, paired with BLIoTLink protocol conversion and BLRAT remote O&M to cut manual inspection costs by 60%+ and speed up fault response by 70%. Ideal for municipal roads, parks, and scenic spots, it offers cost-effective deployment with domestic hardware and modular design.

II. Core Adaptability 

  • Hardware Matching: Equipped with SOM334 core board (2×Cortex-A7, 512MB DDR3 + 8GB eMMC), its low-power performance meets street light control needs (data collection, dimming, remote communication) without complex AI computing.
  • Flexible Expansion: 2 Y-board slots support RS485 drivers and sensors; Mini PCIE interface enables LoRa/4G wireless expansion, adapting to decentralized street light networks.
  • Outdoor Durability: Industrial-grade -40~85℃ wide temperature range, IP30 protection, and EMC/environmental test certification (ESD Level III, Surge Level III) ensure stability in harsh conditions.
  • Tool Compatibility: Preinstalled BLIoTLink (protocol conversion) and BLRAT (remote O&M), compatible with Linux kernels and Node-Red, lowering development thresholds.

III. Key Hardware Configuration

  • Main Controller: ARMxy BL335B (1×1000M + 1×100M Ethernet, 2 USB2.0, 2 Y-board slots, Mini PCIE, DIN35 rail mounting).
  • Core Board: SOM334 (Allwinner T113-i, 2×Cortex-A7@1.2GHz, industrial -40~85℃).
  • Peripherals & Modules: Intelligent LED drivers (RS485/PWM), ambient light/human-vehicle sensors, Y63 RS485 module, Y31 AI module, and optional LoRa/4G wireless modules.

IV. Core Functions

  • Intelligent Dimming: Auto-switches between energy-saving (30%-50% brightness), full-brightness, and delayed dimming modes based on environment and human-vehicle activity.
  • Fault Diagnosis: Locally identifies bulb burnout, short circuits, and driver malfunctions via voltage/current monitoring, with real-time cloud alerts.
  • Remote O&M: BLRAT enables remote parameter configuration, firmware upgrades, and energy consumption tracking, reducing on-site workload.
  • Flexible Networking: Supports wired + wireless (LoRa/4G) hybrid networking for urban and remote areas.

V. Project Implementation Process

  1. Demand & Selection (1-2 Weeks): On-site survey, select BL335B, SOM334, and matching IO/wireless modules.
  2. Design & Development (2-3 Weeks): Hardware integration, software configuration (Ubuntu20.04, BLIoTLink), and Node-Red control logic setup.
  3. Deployment & Commissioning (1-2 Weeks): Install controllers in street light boxes, connect peripherals, and calibrate sensors.
  4. Acceptance & Training (1 Week): Provide test reports and train users on cloud platform operation and remote O&M.
  5. Long-Term Support: 24/7 technical assistance, quarterly dimming strategy optimization, and secondary development support.

VI. Solution Advantages

  • Cost-effective for large-scale renovation, with lower costs than high-end series.
  • Domestic Allwinner T113-i chip meets government and enterprise localization requirements.
  • Low-power design compatible with solar-powered street lights in remote areas.
  • Plug-and-play with mature BLIoTLink/BLRAT tools, shortening delivery cycles.

VII. Application Scenarios

Municipal roads, smart parks, tourist scenic spots, campuses, commercial districts, rural roads (solar + 4G version).

VIII. Conclusion

The ARMxy BL335 delivers energy-saving dimming, remote O&M, and fault diagnosis for smart street lights, with high cost-effectiveness and industrial-grade stability. It supports smart city construction by reducing operational costs and optimizing public services, serving as a reliable solution for energy-saving urban lighting systems.
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