基于传感网络的太阳能路灯智能监控系统的研究

发布时间：2018-03-01 03:01

本文关键词： LED路灯 SOA 智能监控节能　出处：《南京理工大学》2015年硕士论文　论文类型：学位论文

【摘要】：城市智能照明系统随着计算机应用技术和无线通信技术的快速发展在不断的完善。为了保证我国经济和社会健康发展,国家大力推广新能源技术,倡导节能环保理念,太阳能LED路灯应运而生。然而,传统的城市照明系统无法适应对太阳能LED路灯的管理,本文从太阳能LED路灯智能监控系统的框架,面向服务架构的大规模数据采集以及太阳能LED路灯智能控制算法等方面做了细致的分析和研究,开展了以下工作：(1)研究分析了当前城市照明系统管理技术和传感网络的应用现状,探讨了传统路灯控制系统与太阳能LED路灯监控系统存在的差异性,设计了太阳能LED路灯智能监控系统的总体框架,并对关键技术进行了研究。(2)深入分析了面向服务体系架构模型的原理,研究分析了太阳能LED路灯智能监控系统的主要功能需求和流程,并进行了总结归纳；基于SOA架构,设计了一种大规模数据采集和显示的方法,并提出面向大规模数据采集的通信协议。(3)研究了太阳能LED路灯智能控制算法。针对LED路灯放电电流可调控这一特性,基于城市道路照明设计规范,同时考虑环境光补偿以及路灯自身工作状态,设计了太阳能LED路灯智能控制算法。算法通过对路灯照明模拟计算,并进行自适应照度网格划分,再对路灯放电电流进行调整,从而达到最优照明方案。在典型照明场景中与照明设计软件DIALux的结果进行对比验证,证明可以实现路灯的精细化控制功能,并能够适应各种场景,实现智能化照明。在满足城市道路照明设计规范的基础上实现了路灯的个性化照明,从而达到降低能耗和实现智能化照明的目的。(4)设计并实现了基于传感网络的太阳能LED路灯智能监控系统。首先介绍了系统的开发工具以及使用平台,再依据系统的功能需求和框架设计,简要描述了系统各子模块的流程以及实现方法,最后对整个系统进行了测试,主要包括系统资源占用测试、系统时延测试、系统压力测试以及户外测试,并获得了良好的测试结果。
[Abstract]:With the rapid development of computer application technology and wireless communication technology, urban intelligent lighting system has been continuously improved. In order to ensure the healthy development of our economy and society, the state has vigorously promoted new energy technology and advocated the idea of energy saving and environmental protection. However, the traditional urban lighting system can not adapt to the management of solar LED street lamp. This paper starts with the framework of the intelligent monitoring system of solar energy LED street lamp. The large-scale data acquisition based on service-oriented architecture and the intelligent control algorithm of solar LED street lamp are analyzed and studied in detail. This paper studies and analyzes the current application of urban lighting system management technology and sensor network, and discusses the differences between traditional street lamp control system and solar LED street lamp monitoring system. The general framework of the intelligent monitoring system of solar LED street lamp is designed, and the key technology is studied. The principle of service-oriented architecture model is deeply analyzed. This paper studies and analyzes the main functional requirements and flow chart of the solar LED street lamp intelligent monitoring system, and summarizes and summarizes it. Based on the SOA architecture, a method of large-scale data acquisition and display is designed. The intelligent control algorithm of solar LED street lamp is studied. According to the characteristic that the discharge current of LED street lamp can be regulated, based on the design specification of urban road lighting, this paper presents a communication protocol for large-scale data acquisition. At the same time, considering the environment light compensation and the working state of the street lamp, the intelligent control algorithm of the solar energy LED street lamp is designed. The algorithm simulates and calculates the street lamp lighting, and divides the adaptive illumination grid, then adjusts the discharge current of the street lamp. In order to achieve the optimal lighting scheme. Compared with the results of lighting design software DIALux in the typical lighting scene, it is proved that the fine control function of street lamp can be realized, and can adapt to various scenarios. Realizing intelligent lighting. On the basis of satisfying the design criterion of urban road lighting, the individualized lighting of street lamps is realized. Therefore, the purpose of reducing energy consumption and realizing intelligent lighting is to design and implement an intelligent monitoring system of solar LED street lamp based on sensor network. Firstly, the development tools and application platform of the system are introduced. Then according to the function requirement and frame design of the system, the flow chart and the implementation method of each sub-module of the system are briefly described. Finally, the whole system is tested, including system resource occupation test and system delay test. System stress test and outdoor test, and obtained good test results.
【学位授予单位】：南京理工大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：TM923.34

【参考文献】