基于ZigBee的电厂锅炉气体泄漏在线监测系统

发布时间：2018-05-15 06:42

本文选题：电厂锅炉 + ZigBee　；参考：《东北电力大学》2017年硕士论文

【摘要】：智能电网逐步向着“四网融合”信息体系方向迈进,使得其对供电设备的稳定性要求逐步提高,电厂锅炉作为电网中制造电力的主导设备,其安全运作为电力的稳定供给提供了保障。由于锅炉相关设备使用时间长、体积大不易更换,导致了锅炉泄漏事故的频繁发生,为解决传统有线监测方式下布线困难、高温使线路提前老化等问题,本文设计了一种基于ZigBee的电厂锅炉气体泄漏在线监测系统。该系统利用ZigBee短距离无线通信技术代替有线方式,完成对电厂锅炉的在线监测。主要研究工作如下:(1)对ZigBee技术运用于系统的可行性深入分析,确定了系统的无线传感器网络拓扑结构。在此基础上进行了总体架构设计以及各核心部分的软硬件设计,硬件模块电路主要包括传感器模块、路由器模块和协调器模块,具体完成对数据处理电路、天线电路、传感器相关电路、SD卡外围电路和电源模块等电路的设计;软件设计负责完成传感器节点程序设计、路由器节点程序设计、协调器节点程序设计以及监测中心软件的设计。(2)对气体泄漏数据进行分析挖掘,给出电厂锅炉泄漏状态评估算法(均权灰靶理论、熵权灰靶理论)步骤,并在此基础上结合层次分析法提出层次熵权灰靶理论,完成对电厂锅炉气体泄漏状态评估等级的划分,有效地解决在没有标准故障模型的情况下锅炉泄漏状态识别的问题,为锅炉泄漏状态评估提供了一种新途径。(3)利用灰色GM(1,1)模型预测下一时间段内的气体泄漏浓度数据,最后得出预测值与实际值两者的相对误差小于8.5%,平均相对误差控制在3.5%内。应用研究表明,系统测试稳定性高,引入灰色系统理论将为电厂锅炉的泄漏状态评估和气体泄漏预测提供了有力的理论支持,为电厂锅炉的安全、稳定及高效运行提供了保障。
[Abstract]:The smart grid is gradually moving towards the direction of "four networks fusion" information system, which makes the stability of power supply equipment improve gradually. Power plant boiler is the leading equipment in power grid. Its safe operation provides the guarantee for the stable supply of electric power. Because of the long time of boiler related equipment, the large volume is not easy to replace, which leads to the frequent occurrence of boiler leakage accident, in order to solve the problem of wiring under the traditional wired monitoring mode, the high temperature makes the line aging ahead of schedule, and so on. An on-line monitoring system of boiler gas leakage in power plant based on ZigBee is designed in this paper. In this system, ZigBee short range wireless communication technology is used instead of wired mode to complete the on-line monitoring of power plant boilers. The main research work is as follows: (1) the feasibility of applying ZigBee technology to the system is analyzed, and the topology of wireless sensor network is determined. On this basis, the overall architecture design and the hardware and software design of the core parts are carried out. The hardware module circuit mainly includes sensor module, router module and coordinator module, and completes the data processing circuit and antenna circuit. Sensor related circuit peripheral circuit and power module circuit design, software design is responsible for the completion of sensor node program design, router node program design, The program design of the coordinator node and the software design of the monitoring center are used to analyze and mine the gas leakage data, and the steps of evaluating the leakage state of the boiler in power plant are given, which are equal weight grey target theory and entropy weight grey target theory. On the basis of this, the theory of AHP weight grey target is put forward to divide the assessment level of boiler gas leakage status in power plant, which effectively solves the problem of boiler leakage status identification without standard fault model. This paper provides a new way for boiler leakage state evaluation. 3) using the grey GM1 / 1) model to predict the gas leakage concentration data in the next time period. Finally, the relative error between the predicted value and the actual value is less than 8.5%, and the average relative error is controlled within 3.5%. The application research shows that the system has high stability in testing, and the introduction of grey system theory will provide a powerful theoretical support for the assessment of the leakage state and the prediction of gas leakage of the boiler in power plant, as well as the guarantee for the safe, stable and efficient operation of the boiler in the power plant.
【学位授予单位】：东北电力大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TN92;TP274;TM621.2

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