智能路灯管理系统的设计与实现

发布时间：2018-04-15 19:36

本文选题：智能路灯管理 + WebGIS　；参考：《南京师范大学》2017年硕士论文

【摘要】：随着经济社会的迅速发展和人们生活水平的提高,现代城市对路灯管理的要求越来越高,传统的路灯管理方式落后,主要表现为能源消耗较高、运营效率低下、智能化管理能力较弱等。在智慧城市建设的大背景下,研发出高效智能、运行稳定的城市路灯管理系统,对提升路灯管理效率、节约能源、降低运营成本、改善城市形象方面必将发挥出积极有效的作用。城市智能路灯管理系统由信息感知、智能控制、数据通讯、管理平台等部分组成,本文重点阐述的是基于WebGIS的智能路灯管理平台的设计与实现。本文首先介绍了系统关键技术,包括Web开发的Spring MVC框架、实现路灯地理信息可视化的GIS、WebGIS技术和强化系统安全的用户访问控制技术。黄昏或凌晨时,目前采用光照控制的路灯根据环境照度来开启或关闭,无法对路灯进行渐进式调光来适应环境照度的变化,为进一步节约能源,本文设计了一种基于Mamdani推理算法的模糊控制器,并进行了 Matlab仿真实验,实验结果表明能节约能源8%以上。本文通过对江苏省某路灯管理所实地调查后进行了需求分析,确定了系统开发的目标和理念,设计了系统的总体架构,划分了功能模块,完成了系统的总体方案设计。在分析E-R图的基础上完成了数据库的设计,采用WebGIS实现地理信息可视化的基础上,对系统的各个功能模块进行了详细设计。编码完成后对系统进行了兼容性测试、功能性测试和安全性测试,表明本系统的设计和实现基本上满足了城市智能路灯管理工作的需求。最后,对本论文所做的工作进行了总结,并对系统的扩展研究内容进行了展望。
[Abstract]:With the rapid development of economy and society and the improvement of people's living standard, the demand of modern city for streetlight management is more and more high, and the traditional street lamp management way is backward, which mainly shows that the energy consumption is high and the operation efficiency is low.Intelligent management ability is weak and so on.Under the background of intelligent city construction, we develop a high-efficient and intelligent and stable urban streetlight management system, which can improve the efficiency of streetlight management, save energy and reduce operating costs.Improving the image of the city is bound to play a positive and effective role.The urban intelligent streetlight management system is composed of information perception, intelligent control, data communication, management platform and so on. This paper focuses on the design and implementation of intelligent street lamp management platform based on WebGIS.This paper first introduces the key technologies of the system, including the Spring MVC framework developed by Web, the GIS WebGIS technology to realize the visualization of street lamp geographic information, and the user access control technology to enhance the security of the system.At dusk or in the early hours of the morning, street lamps that are currently controlled by light are turned on or off according to the environmental illumination. They cannot be adjusted gradually to adapt to changes in the illumination of the environment, so as to further save energy.In this paper, a fuzzy controller based on Mamdani reasoning algorithm is designed, and the Matlab simulation experiment is carried out. The experimental results show that the energy can be saved by more than 8%.This paper analyzes the demand of a street lamp management institute in Jiangsu Province, determines the goal and concept of the system development, designs the overall structure of the system, divides the function module, and completes the overall scheme design of the system.Based on the analysis of E-R diagram, the database design is completed. Based on the realization of geographic information visualization by WebGIS, each functional module of the system is designed in detail.After coding, the compatibility test, functional test and security test of the system are carried out, which shows that the design and implementation of the system basically meet the needs of urban intelligent streetlight management.Finally, the work done in this paper is summarized, and the extended research content of the system is prospected.
【学位授予单位】：南京师范大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TP311.52;TU113.666

【参考文献】