电缆接头温度监测技术的研究

发布时间：2018-06-21 16:32

本文选题：光纤光栅 + ZigBee无线网络　；参考：《哈尔滨理工大学》2014年硕士论文

【摘要】：伴随工业化程度的提高，人们对电的需求也逐年增加。因此，如何能保证电力的正常供应，成为电力维护人员非常关心的问题。影响电力正常供应的因素有很多，其中电缆接头过热在影响电力正常供应的因素中占有很大的比重。所以，，对电缆接头温度的监测就显得尤为重要。本文将以电缆接头温度为研究对象，以光纤光栅温度传感器为基础，结合嵌入式系统理论，利用ZigBee无线网络通信技术，建立电缆接头温度监测网络，以实现对电缆接头温度监测。本文采用ZigBee网状网络拓扑结构搭建了电缆接头温度在线监测系统的硬件平台，并对监测节点、路由器和协调器的硬件电路分别进行了设计。电路设计主要以微处理器CC2530为控制芯片、CC2591为功率放大芯片，绝缘型光纤光栅温度传感器YT-PL-01-3000为温度数据采集元件、12位并行输出的ADS801为模数转换芯片。并对电流/电压转换电路部分进行了设计。在监测系统软件方面，分别对监测节点、路由器、协调器以及上位机的工作流程进行设计，并利用虚拟仪器Labview对上位机界面进行设计。在监测系统硬件平台的基础上，对获取的电缆接头温度数据，分别采用固定门限检测算法和温度变化率检测算法对其运算处理，并且以不同的级别判断监测区域的电缆接头的运行状态。为了能够给电力维护人员提供更多的应对电力突发事件的时间，本文又利用卡尔曼预估值算法对电缆接头温度进行预测及判别预警，建立了温度预估计数学模型，并利用MATLAB软件进行仿真。仿真结果表明卡尔曼预测算法能够对电缆接头温度预测，使电缆接头的温度不仅可以实时被监测，而且可以提前预测电缆接头的温度。本文最后又根据三种算法设计报警规则，从而使电缆接头温度报警能够准确和及时，为电力维护人员提供技术支持，有效的保证电力系统及时维护和正常运行。
[Abstract]:With the development of industrialization, the demand for electricity is increasing year by year. Therefore, how to ensure the normal supply of electricity has become a problem of great concern to maintainers. There are many factors that affect the normal power supply, among which the overheating of the cable joint occupies a large proportion of the factors that affect the normal power supply. Therefore, it is very important to monitor the temperature of cable joint. In this paper, based on fiber grating temperature sensor and embedded system theory, using ZigBee wireless network communication technology, the cable junction temperature monitoring network is established. In order to achieve the cable joint temperature monitoring. In this paper, the hardware platform of the on-line monitoring system for cable joint temperature is built with the ZigBee mesh network topology. The hardware circuits of the monitoring node, router and coordinator are designed respectively. The circuit is mainly designed with microprocessor CC2530 as control chip CC2591 as power amplifier chip and insulated fiber Bragg grating temperature sensor YT-PL-01-3000 as temperature data acquisition element and 12-bit output ADS801 as analog-to-digital conversion chip. The current / voltage conversion circuit is designed. In the software of monitoring system, the work flow of monitoring node, router, coordinator and host computer are designed, and the interface of upper computer is designed by LabVIEW. On the basis of the hardware platform of the monitoring system, the fixed threshold detection algorithm and the temperature change rate detection algorithm are used to deal with the temperature data of the cable joint, respectively. At the same time, the operation state of cable connector in monitoring area is judged by different levels. In order to provide more time for power maintainers to deal with power emergencies, this paper uses the Kalman prevaluation algorithm to predict and discriminate the cable junction temperature, and establishes a mathematical model of temperature pre-estimation. And use MATLAB software to carry on the simulation. The simulation results show that the Kalman prediction algorithm can predict the temperature of the cable connector, so that the temperature of the cable joint can not only be monitored in real time, but also can be predicted in advance. Finally, the alarm rules are designed according to three algorithms, so that the cable joint temperature alarm can be accurate and timely, provide technical support for the power maintenance personnel, and effectively ensure the timely maintenance and normal operation of the power system.
【学位授予单位】：哈尔滨理工大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TM24;TP274

【引证文献】