基于ZigBee技术的带电作业培训系统人员定位算法研究
发布时间：2018-07-28 06:48
【摘要】：带电作业是电力系统中一种在正常供电的前提下进行设备检修的作业方法。因作业过程存在较高的危险性,带电作业对作业人员的作业距离和位置都有严格要求。在作业过程中,违反距离规定进行作业以及未经许可进入危险的带电作业区域都是引发带电作业安全事故的重要原因。因此,针对带电作业人员的作业技能培训受到广泛重视,作业人员的作业距离和人员位置也成为培训的重点。针对现有的培训方式无法记录学员操作距离和所在位置的问题,将ZigBee定位技术引入到带电作业培训中,用于监控、记录培训人员的位置以及分布情况,对于提高培训效果,避免带电作业安全事故的发生意义重大。本文对ZigBee定位技术在带电作业培训中的应用展开研究,具体研究工作如下:1、研究和比较了当前主要的无线定位技术和定位算法。深入分析了当前主要无线定位技术和定位算法分类和优缺点,根据带电作业场地的实际情况,综合考虑各种定位技术和算法的特点和应用环境,选择ZigBee技术和交点质心定位算法为基础构建定位系统。2、应用BP神经网络改进无线信号传播模型。针对传统无线信号传播模型测距精度不高的问题,应用BP神经网络改进无线信号传播模型。在BP神经网络传播模型中使用ZigBee节点的测量数据进行仿真,确定BP神经网络各类参数的最佳数值。模型确定后将基于BP神经网络的改进传播模型与传统模型进行比较,通过仿真验证了改进后的传播模型在测距精度和稳定性上的优势。3、提出差分质心定位算法。针对交点质心定位算法受测距误差影响大导致定位精度不高的问题,在其基础上,提出了差分质心定位算法作为ZigBee定位算法。算法使用改进的四点差分修正算法对测量误差进行修正;算法的定位过程改进了定位方法,对不同交点情况进行讨论,然后使用质心法进行定位。算法仿真后显示差分质心定位算法具有较高的定位精度和稳定性。4、设计并搭建带电作业培训人员定位系统,编写嵌入式平台、上位机监控软件的代码,在实际的带电作业场地中对定位系统进行测距和定位测试。测试结果表明,本文算法的测距、单点定位、区域定位精度,稳定性均明显高于传统算法;定位算法的成功预警率与误报率均优于传统定位算法,充分说明了本文算法的优越性和定位系统在带电作业场地中良好的定位效果。
[Abstract]:Live-line operation is a kind of operation method of equipment maintenance under the premise of normal power supply in power system. Because of the high risk in the working process, the working distance and position of the operators are strictly required in the live work. In the process of operation, working in violation of distance and entering dangerous live working area without permission are the important causes of safety accidents in live working. Therefore, the training of working skills for live workers is paid more and more attention, and the working distance and position of operators are also the focus of training. Aiming at the problem that the existing training methods can not record the operating distance and the location of the trainees, this paper introduces the ZigBee positioning technology into the live operation training, which is used to monitor, record the position and distribution of the trainers, and improve the training effect. It is of great significance to avoid safety accidents in live work. In this paper, the application of ZigBee localization technology in live work training is studied. The specific research work is as follows: 1. The main wireless location techniques and localization algorithms are studied and compared. This paper deeply analyzes the classification, advantages and disadvantages of the main wireless location technologies and localization algorithms. According to the actual situation of live working sites, it synthetically considers the characteristics and application environment of various localization technologies and algorithms. Based on ZigBee technology and intersection centroid location algorithm, the location system. 2. BP neural network is used to improve the wireless signal propagation model. In order to solve the problem of low ranging accuracy of traditional wireless signal propagation model, BP neural network is used to improve the wireless signal propagation model. In the propagation model of BP neural network, the measurement data of ZigBee node are used to simulate, and the best value of various parameters of BP neural network is determined. After the model is determined, the improved propagation model based on BP neural network is compared with the traditional model, and the advantages of the improved propagation model in ranging accuracy and stability are verified by simulation, and a differential centroid location algorithm is proposed. In order to solve the problem that the location accuracy of intersection centroid location algorithm is not high due to the influence of ranging error, a differential centroid location algorithm is proposed as ZigBee location algorithm. The algorithm uses the improved four-point differential correction algorithm to correct the measurement error, and the localization process of the algorithm improves the location method, discusses the different intersection conditions, and then uses the centroid method to locate. The algorithm simulation shows that the differential centroid positioning algorithm has a higher positioning accuracy and stability .4. the design and construction of live job training personnel positioning system, writing embedded platform, host computer monitoring software code, The location system is measured and measured in the actual live working site. The test results show that the location accuracy and stability of this algorithm are obviously higher than that of the traditional algorithm, and the success early warning rate and false alarm rate of the algorithm are better than the traditional location algorithm. The superiority of this algorithm and the good localization effect of the location system in live working site are explained.
【学位授予单位】：电子科技大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TN92;TM84
本文编号：2149253
[Abstract]:Live-line operation is a kind of operation method of equipment maintenance under the premise of normal power supply in power system. Because of the high risk in the working process, the working distance and position of the operators are strictly required in the live work. In the process of operation, working in violation of distance and entering dangerous live working area without permission are the important causes of safety accidents in live working. Therefore, the training of working skills for live workers is paid more and more attention, and the working distance and position of operators are also the focus of training. Aiming at the problem that the existing training methods can not record the operating distance and the location of the trainees, this paper introduces the ZigBee positioning technology into the live operation training, which is used to monitor, record the position and distribution of the trainers, and improve the training effect. It is of great significance to avoid safety accidents in live work. In this paper, the application of ZigBee localization technology in live work training is studied. The specific research work is as follows: 1. The main wireless location techniques and localization algorithms are studied and compared. This paper deeply analyzes the classification, advantages and disadvantages of the main wireless location technologies and localization algorithms. According to the actual situation of live working sites, it synthetically considers the characteristics and application environment of various localization technologies and algorithms. Based on ZigBee technology and intersection centroid location algorithm, the location system. 2. BP neural network is used to improve the wireless signal propagation model. In order to solve the problem of low ranging accuracy of traditional wireless signal propagation model, BP neural network is used to improve the wireless signal propagation model. In the propagation model of BP neural network, the measurement data of ZigBee node are used to simulate, and the best value of various parameters of BP neural network is determined. After the model is determined, the improved propagation model based on BP neural network is compared with the traditional model, and the advantages of the improved propagation model in ranging accuracy and stability are verified by simulation, and a differential centroid location algorithm is proposed. In order to solve the problem that the location accuracy of intersection centroid location algorithm is not high due to the influence of ranging error, a differential centroid location algorithm is proposed as ZigBee location algorithm. The algorithm uses the improved four-point differential correction algorithm to correct the measurement error, and the localization process of the algorithm improves the location method, discusses the different intersection conditions, and then uses the centroid method to locate. The algorithm simulation shows that the differential centroid positioning algorithm has a higher positioning accuracy and stability .4. the design and construction of live job training personnel positioning system, writing embedded platform, host computer monitoring software code, The location system is measured and measured in the actual live working site. The test results show that the location accuracy and stability of this algorithm are obviously higher than that of the traditional algorithm, and the success early warning rate and false alarm rate of the algorithm are better than the traditional location algorithm. The superiority of this algorithm and the good localization effect of the location system in live working site are explained.
【学位授予单位】：电子科技大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TN92;TM84
【参考文献】
相关期刊论文 前2条
1 彭宇;王丹;;无线传感器网络定位技术综述[J];电子测量与仪器学报;2011年05期
2 陈莉;郑君刚;祝婵楠;陈彪;刘悦;;基于二次修正的无线传感器网络RSSI测距[J];沈阳建筑大学学报(自然科学版);2012年05期
相关硕士学位论文 前1条
1 郑和平;带电作业仿真培训系统的设计与实现[D];电子科技大学;2012年
，本文编号：2149253
本文链接：https://www.wllwen.com/kejilunwen/dianlilw/2149253.html
