基于多模-LoRa融合的智慧路灯系统设计方案

Design Scheme of Smart Streetlight System Based on Multi-Mode-LoRa Fusion

摘要: 为了解决高校校园路灯系统的耗电量大、智能化程度低等问题，本文提出一种新型智慧路灯系统，将集成了太阳能光伏、BMS电池管理、多模智能控制和LoRa无线通信技术等智慧路灯系统应用于校园。系统采用STM32H743微控制器为主控芯片，结合“光控 + 时控 + 人体感应”三模融合调光算法和卡尔曼滤波算法，对室内及室外数据传输通道内的信息处理，实现对光伏电池板、传感器和LED模块系统控制。我们预计在校园内安装使用5盏样机30天，通过与传统路灯的对比，得出我们新型路灯比较于传统路灯的改进与性能的提高。本系统具有良好的稳定性和经济性，并且具有较好的应用推广价值。

Abstract: To address issues such as high energy consumption and low intelligence in campus lighting systems, this paper proposes a novel smart streetlight system integrating solar photovoltaic technology, BMS battery management, multi-mode intelligent control, and LoRa wireless communication for campus applications. The system adopts the STM32H743 microcontroller as the main control chip and combines a tri-mode integrated dimming algorithm (“light control + time control + motion sensing”) with the Kalman filter algorithm to process information from indoor and outdoor data transmission channels. This enables precise control of photovoltaic panels, sensors, and LED modules. We plan to install five prototype units on campus for a 30-day trial. Through comparison with traditional streetlights, we will evaluate the improvements and performance enhancements of the proposed system. The system demonstrates good stability and cost-effectiveness, showing promising potential for broader application and promotion.