浪涌检测过程产品状态自动记录与分析系统

发布时间：2018-05-11 16:43

本文选题：浪涌检测 + 电参数检测　；参考：《华南理工大学》2015年硕士论文

【摘要】：针对目前浪涌检测采用检测技术人员观察和记录EUT面板指示灯的方式,存在检测工作量大、效率低和检测结果判定依据少、主观性强、不可溯源等问题,本论文以“浪涌检测过程产品状态自动记录与分析系统”为题,研究浪涌检测过程电参数检测方法、基于k-NN的多状态灯模式识别与分析方法以及系统集成、软件实现,对促进EMC浪涌检测自动化技术的发展具有重要的实际工程意义。研究工作得到中国电器科学研究院有限公司2014年青年科技基金项目(SQRV2014008)资助。论文分别设计浪涌检测过程产品状态自动记录与分析系统框架、研究浪涌检测过程电参数检测技术、研究基于k-NN的多状态灯模式识别与分析方法、设计浪涌检测过程产品状态自动记录与分析软件系统,并通过实验对该系统浪涌检测效果和功能进行验证。主要突出工作包括：(1)提出新型浪涌检测过程产品状态自动记录与分析系统框架,该系统框架在传统浪涌检测系统的基础上,新增浪涌电参数测试子系统、设备面板信号灯图像识别子系统和关系-时态数据库管理系统三个子系统,同时分析浪涌检测过程产品状态自动记录与分析系统关键技术实现方案。(2)研究浪涌电参数测试子系统,提出并搭建基于示波器和功率分析仪器的电参数采集系统,对产品浪涌可靠性检测进行详细分析、研究,并对浪涌检测中示波器MDO3034、功率分析仪PA1000和检测软件的相关设置进行详细分析。(3)提出基于HSI颜色空间的状态灯样本快速训练方法,并在此基础上,研究基于k-NN的状态灯模式识别技术,重点研究图像快速去噪技术、基于k-NN的状态灯模式识别和状态判断分类方法。(4)设计并实现基于LabVIEW的浪涌自动化检测软件系统,包括对本系统的数据库表空间进行合理划分,设计浪涌检测电参数数据字典等数据字典,研究本系统时态数据库的数据结构图。最后,通过实验对浪涌检测过程产品状态自动记录与分析系统的功能进行验证,结果表明,系统能有效检测、显示有效电压Urms、有效电流Irms、有功功率Pr和浪涌瞬时电压Upk四个电参数,能准确捕捉EUT状态灯闪烁现象和识别EUT状态灯的亮灭,并能正确判定浪涌检测结果,同时实现检测过程电参数和视频回放等其他功能。
[Abstract]:In view of the current surge detection method, the detection technicians observe and record the EUT panel indicator lamp, there are many problems, such as large workload, low efficiency, little basis for judging the test results, strong subjectivity and non-traceability, etc. Under the title of "automatic recording and Analysis system of Product status in surge Detection process", this paper studies the detection method of electrical parameters in surge detection process, the method of multi-state lamp pattern recognition and analysis based on k-NN, the system integration, and the software implementation. It has important engineering significance to promote the development of EMC surge detection automation technology. The research was funded by the 2014 Youth Science and Technology Foundation project SQRV2014008 of China Electric Science Research Institute Ltd. In this paper, the automatic recording and analyzing system framework of product state in surge detection process is designed, the detection technology of electrical parameters in surge detection process is studied, and the multi-state lamp pattern recognition and analysis method based on k-NN is studied. A software system for automatic recording and analysis of product status during surge detection is designed, and the effect and function of surge detection are verified by experiments. The main work includes: (1) A new system framework for automatic recording and analysis of product status in surge detection process is proposed. Based on the traditional surge detection system, a new surge power parameter testing subsystem is added. Equipment panel signal lamp image recognition subsystem and relational temporal database management system three subsystems, At the same time, the paper analyzes the key technology of automatic recording and analyzing system of product state in surge detection process. (2) Research surge parameter testing subsystem, and put forward and build the electric parameter acquisition system based on oscilloscope and power analysis instrument. This paper makes a detailed analysis and research on the reliability detection of product surge, and puts forward a fast training method of state lamp samples based on HSI color space, including the related settings of oscilloscope MDO3034, power analyzer PA1000 and the testing software, in which the Oscilloscope MDO3034, the power analyzer PA1000 and the testing software are set up in detail. On this basis, the state light pattern recognition technology based on k-NN is studied, and the image fast de-noising technology is emphasized. The software system of automatic surge detection based on LabVIEW is designed and implemented, including the reasonable division of database table space of the system. Data dictionaries such as surge detection data dictionary are designed to study the data structure of the temporal database of the system. Finally, the function of the automatic recording and analyzing system of product status during surge detection is verified by experiments. The results show that the system can detect effectively. It shows four electrical parameters: effective voltage Urms, effective current Irms, active power pr and surge instantaneous voltage Upk, which can accurately capture the flicker phenomenon of EUT state lamp and identify the light of EUT state lamp, and can correctly judge the result of surge detection. At the same time, the detection process of electrical parameters and video playback and other functions.
【学位授予单位】：华南理工大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：TM83

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