无线传感器网络的太阳能供电系统

发布时间：2018-06-27 21:29

本文选题：无线传感器网络 + 太阳能供电系统　；参考：《宁波大学》2017年硕士论文

【摘要】：在能源危机的形势下,太阳能作为新能源的代表,其关键技术已经有了极大的进步。而随着移动互联网与通信技术的快速发展,无线传感器网络(Wireless Sensor Network,WSN)的应用场合日益增多。因WSN具有容错能力强、组织性好的特点,在环境监测和信息采集等领域应用十分广泛。受监测和信息采集所处位置的影响,WSN分布条件的差异导致供电需求的不一,这就对各种复杂条件下信息采集系统的能源保障问题提出了更高的要求。因此,把太阳能应用到WSN领域,研究探讨WSN的太阳能供电系统具有重大意义。本文首先简单介绍了WSN的基本技术,然后就光伏电池的发电原理进行分析,建立相关的物理模型基本解析,并对光伏电池板MPPT(Maximum Power Point Tracking)算法中的电导增量法(Incremental Conductance algorithm,INCC algorithm)和干扰观察法(Perturb and Observe algorithm,PO algorithm)进行了理论上的推导。以此为基础,提出了一种自适应步长的INCC algorithm,从而直接关联自适应步长与输出电压。对所建立的联系进行了仿真测试,给出了相关测试数据。同时,本文针对特殊环境下WSN环境监控系统的供电问题,进行了特殊环境下WSN太阳能供电系统的硬件电路设计,设计了一种鲁棒性较强的太阳能的供电系统。该系统允许多路电源同时输入为锂电池充电,设计中采用外部USB电源和太阳能电池板为例共同为锂电池进行充电。此外,还具备选择控制存储功能,根据优先级原理,选择性的为WSN节点供电;使用串口式NOR型闪存,存储重要参数信息;针对山地等苛刻的环境,增设浪涌保护电路;利用图形界面在PC机和移动终端进行显示。最后,对本文中的研究内容进行了总结分析,查找了研究过程中遇到的盲点和不足,同时探讨了在今后的研究工作中需要深入研究的问题。
[Abstract]:In the situation of energy crisis, solar energy as the representative of new energy, its key technology has made great progress. With the rapid development of mobile Internet and communication technology, the application of Wireless Sensor Network (WSN) is increasing day by day. WSN is widely used in environmental monitoring and information collection because of its strong fault tolerance and good organization. The different distribution conditions of WSN caused by the location of monitoring and information collection lead to different demand of power supply, which puts forward higher requirements for the energy security of information acquisition system under various complex conditions. Therefore, it is of great significance to apply solar energy to the field of WSN and study the solar power supply system of WSN. In this paper, the basic technology of WSN is introduced briefly, then the principle of photovoltaic cell generation is analyzed, and the related physical model is established. Theoretical derivation of incremental algorithm (InCC algorithm) and Perturb and observe algorithm (algorithm) in photovoltaic panel MPPT (maximum Power Point tracking) algorithm is also presented. Based on this, an adaptive step size algorithm is proposed to directly correlate the adaptive step size with the output voltage. The relation is simulated and the relevant test data are given. At the same time, aiming at the power supply of WSN environment monitoring system under special environment, this paper designs the hardware circuit of WSN solar power supply system under special environment, and designs a kind of solar power supply system with strong robustness. The system allows multiple power sources to be input to charge the lithium battery at the same time. In the design, the external USB power supply and solar panel are used to charge the lithium battery together. In addition, it also has the function of selective control and storage, according to the principle of priority, selectively supplying power to WSN node, using serial port nor flash memory to store important parameter information, adding surge protection circuit for harsh environment such as mountain area, etc. The graphical interface is used to display on PC and mobile terminal. Finally, the research contents in this paper are summarized and analyzed, the blind spots and deficiencies encountered in the research process are found, and the problems that need to be further studied in the future research work are also discussed.
【学位授予单位】：宁波大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TP212.9;TN929.5

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