风力发电机组状态监控系统（CMS）上位机监控软件开发

发布时间：2018-06-13 08:17

本文选题：状态监控 + 特征频率　；参考：《北京交通大学》2014年硕士论文

【摘要】：随着风电行业的不断发展,风电机组状态监控系统(CMS, Condition Monitoring System)已经逐步成为风电场运营维护中的重要工具。由于CMS能够准确预测出风电机组机械设备的故障隐患,准确分析出故障所处的位置以及故障程度,定期发布体检报告制定维护维修策略,因此具有极高的技术含量与实用价值。CMS通过安装传感器与对下位机的逻辑控制来对风电机组状态数据进行采集；运用上位机监控软件对数据分析处理生成故障专题图；运用特征频率理论对故障进行诊断；同时保留历史状态数据,在风电场中控室与风电业主远程办公区同时对风电机组全生命周期的监控运行进行把控,对减少运维成本,提高经济效益有着重要的意义。本文首先对风电行业的发展状况进行了调研,对国内外关于状态监控的理论,关于信号处理当中频域分析,倒谱分析的理论进行了学习,并依据项目组制定的系统传感器与下位机的安装与配置方案,遵循软件工程的方法论对上位机监控软件进行需求分析与设计,运用C#编程语言上位机监控软件进行了开发与实现。本人在系统研发过程中参与了技术路线的调研,上位机的需求分析、设计与开发测试工作,负责上位机数据采集,处理,显示与视频监控等部分功能模块的开发。该上位机监控软件具有下列功能：能够对风电机舱低频和高频的振动数据进行采集,能够将数据还原为真实的机械设备振动加速度信号,能够进行FFT (Fast Fourier Transform)分析,倒谱分析,绘制专题图,并且能够通过集成网络摄像头对风电机舱进行视频监控。通过以上功能使得维修技术人员通过PC与风机设备直接对话,实现状态监控。本文所研究的理论与实践,对于我国的风电机组全息化状态监控系统的实现会有一定的借鉴作用。
[Abstract]:With the development of wind power industry, condition Monitoring system has become an important tool in wind farm operation and maintenance. Because CMS can accurately predict the hidden trouble of the mechanical equipment of wind turbine unit, analyze the location and the degree of the fault accurately, and issue the medical examination report regularly to formulate the maintenance and repair strategy. Therefore, it has very high technical content and practical value. CMS collects wind turbine status data by installing sensors and logic control of lower computer, generates fault thematic map by using monitoring software of upper computer to analyze and process the data. Using the characteristic frequency theory to diagnose the fault, at the same time keeping the historical state data, controlling the whole life cycle of the wind turbine in the control room of wind farm and the remote office area of the owner of wind power at the same time, and reducing the cost of operation and maintenance. It is of great significance to improve economic efficiency. In this paper, the development of wind power industry has been investigated, and the theories of state monitoring, frequency domain analysis and cepstrum analysis in signal processing have been studied. According to the installation and configuration scheme of the system sensor and the lower computer made by the project team and following the methodology of software engineering, the requirement analysis and design of the monitoring software of the upper computer are carried out. Using C # programming language upper computer monitoring software is developed and implemented. In the research and development process of the system, I participated in the research and research of the technical route, the requirement analysis of the upper computer, the design and development of the test work, and was responsible for the development of some functional modules such as data collection, processing, display and video monitoring. The monitoring software has the following functions: it can collect the low frequency and high frequency vibration data of the wind power engine room, can restore the data to the real vibration acceleration signal of mechanical equipment, can carry out FFT Fast Fourier transform analysis and cepstrum analysis. Draw a thematic map and can video monitor the wind engine room through an integrated web camera. Through the above functions, maintenance technicians through PC and fan equipment direct dialogue, achieve state monitoring. The theory and practice studied in this paper will be useful for the realization of holographic state monitoring system of wind turbine in China.
【学位授予单位】：北京交通大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TM315

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