本文選題：狀態(tài)監(jiān)控 + 特征頻率��； 參考：《北京交通大學(xué)》2014年碩士論文

【摘要】：隨著風(fēng)電行業(yè)的不斷發(fā)展,風(fēng)電機(jī)組狀態(tài)監(jiān)控系統(tǒng)(CMS, Condition Monitoring System)已經(jīng)逐步成為風(fēng)電場運(yùn)營維護(hù)中的重要工具。由于CMS能夠準(zhǔn)確預(yù)測出風(fēng)電機(jī)組機(jī)械設(shè)備的故障隱患,準(zhǔn)確分析出故障所處的位置以及故障程度,定期發(fā)布體檢報(bào)告制定維護(hù)維修策略,因此具有極高的技術(shù)含量與實(shí)用價(jià)值。CMS通過安裝傳感器與對下位機(jī)的邏輯控制來對風(fēng)電機(jī)組狀態(tài)數(shù)據(jù)進(jìn)行采集；運(yùn)用上位機(jī)監(jiān)控軟件對數(shù)據(jù)分析處理生成故障專題圖；運(yùn)用特征頻率理論對故障進(jìn)行診斷；同時(shí)保留歷史狀態(tài)數(shù)據(jù),在風(fēng)電場中控室與風(fēng)電業(yè)主遠(yuǎn)程辦公區(qū)同時(shí)對風(fēng)電機(jī)組全生命周期的監(jiān)控運(yùn)行進(jìn)行把控,對減少運(yùn)維成本,提高經(jīng)濟(jì)效益有著重要的意義。 本文首先對風(fēng)電行業(yè)的發(fā)展?fàn)顩r進(jìn)行了調(diào)研,對國內(nèi)外關(guān)于狀態(tài)監(jiān)控的理論,關(guān)于信號處理當(dāng)中頻域分析,倒譜分析的理論進(jìn)行了學(xué)習(xí),并依據(jù)項(xiàng)目組制定的系統(tǒng)傳感器與下位機(jī)的安裝與配置方案,遵循軟件工程的方法論對上位機(jī)監(jiān)控軟件進(jìn)行需求分析與設(shè)計(jì),運(yùn)用C#編程語言上位機(jī)監(jiān)控軟件進(jìn)行了開發(fā)與實(shí)現(xiàn)。本人在系統(tǒng)研發(fā)過程中參與了技術(shù)路線的調(diào)研,上位機(jī)的需求分析、設(shè)計(jì)與開發(fā)測試工作,負(fù)責(zé)上位機(jī)數(shù)據(jù)采集,處理,顯示與視頻監(jiān)控等部分功能模塊的開發(fā)。 該上位機(jī)監(jiān)控軟件具有下列功能：能夠?qū)︼L(fēng)電機(jī)艙低頻和高頻的振動數(shù)據(jù)進(jìn)行采集,能夠?qū)?shù)據(jù)還原為真實(shí)的機(jī)械設(shè)備振動加速度信號,能夠進(jìn)行FFT (Fast Fourier Transform)分析,倒譜分析,繪制專題圖,并且能夠通過集成網(wǎng)絡(luò)攝像頭對風(fēng)電機(jī)艙進(jìn)行視頻監(jiān)控。通過以上功能使得維修技術(shù)人員通過PC與風(fēng)機(jī)設(shè)備直接對話,實(shí)現(xiàn)狀態(tài)監(jiān)控。本文所研究的理論與實(shí)踐,對于我國的風(fēng)電機(jī)組全息化狀態(tài)監(jiān)控系統(tǒng)的實(shí)現(xiàn)會有一定的借鑒作用。
[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.
【學(xué)位授予單位】：北京交通大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2014
【分類號】：TM315

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本文編號：2013348