發(fā)布時間：2018-03-14 09:56

  本文選題：無線振動監(jiān)測系統(tǒng)　切入點：ZigBee　出處：《青島科技大學(xué)》2017年碩士論文　論文類型：學(xué)位論文

【摘要】：在現(xiàn)代化工業(yè)生產(chǎn)過程中,大型旋轉(zhuǎn)機電設(shè)備的使用遍布于各行各業(yè)中,因此對于機電設(shè)備的的故障診斷也十分普遍。通過對生產(chǎn)過程中各類機電設(shè)備的狀態(tài)監(jiān)測可以及時甚至預(yù)先勘測到設(shè)備的一系列故障問題。做到提前預(yù)警、提前檢修,有效避免因設(shè)備故障導(dǎo)致的生產(chǎn)停線以及某些意外事故的發(fā)生。機械設(shè)備狀態(tài)監(jiān)測與故障診斷技術(shù)是一種綜合了多門學(xué)科的實用技術(shù),它不僅需要充分分析各類設(shè)備在產(chǎn)生不同故障時所表現(xiàn)出的特有機械參數(shù),還需要通過一定的檢測指標(biāo)與方法提取相應(yīng)故障參數(shù)特征。為實現(xiàn)機械故障相關(guān)參數(shù)的分析任務(wù),必須設(shè)計相應(yīng)的硬件檢測裝置并對合適的數(shù)字信號處理算法對其做進一步處理。某些機械設(shè)備的運行環(huán)境中,可能存在高溫高熱,空間結(jié)構(gòu)復(fù)雜等因素,因此造成在安裝數(shù)據(jù)采集設(shè)備時往往會面對布線困難,實現(xiàn)成本偏高等問題。另外一個不容回避的問題就是,一般監(jiān)測裝置往往采用有線方式進行裝置間的數(shù)據(jù)傳輸,為了避免現(xiàn)場電磁環(huán)境對于數(shù)據(jù)采集以及數(shù)據(jù)傳輸過程中造成的信號干擾,一般的解決辦法是選擇高性能的電子元件并開發(fā)復(fù)雜的電路結(jié)構(gòu)來消除信號中的干擾噪聲與預(yù)防通信過程中的丟包、粘包等常見問題。本文從兩個角度開展對于如何降低故障診斷系統(tǒng)實現(xiàn)成本這一課題的可行性研究:首先,將傳統(tǒng)的有線通信網(wǎng)絡(luò)轉(zhuǎn)換為基于ZigBee技術(shù)的無線網(wǎng)絡(luò),使得布置傳感器網(wǎng)絡(luò)的復(fù)雜度得以降低;其次在解決信號降噪與相關(guān)算法實現(xiàn)上面,盡量利用軟件算法來代替硬件電路。文中分別使用編軟件程方式實現(xiàn)了小波變換濾波、Hilbert變換求取包絡(luò)線以及快速傅里葉變換等。經(jīng)過以上算法處理的信號可以更加精準(zhǔn)的為故障診斷工程師提供待監(jiān)測設(shè)備的運行參數(shù),本文也介紹了如何將系統(tǒng)中的上位機處理軟件移植到了嵌入式操作系統(tǒng)中,以增強本系統(tǒng)的擴展性。本文最終將傳感器采集結(jié)點、網(wǎng)關(guān)節(jié)點以及上位機監(jiān)控軟件結(jié)合成為一套完整的無線振動監(jiān)測系統(tǒng)并在實驗室環(huán)境中對其進行了相應(yīng)的性能測試。
[Abstract]:In the process of modern industrial production, large rotating electromechanical equipment is used all over the world. Therefore, the fault diagnosis of electromechanical equipment is also very common. By monitoring the condition of all kinds of electromechanical equipment in production process, a series of trouble problems can be detected in time or even in advance. The technology of mechanical equipment condition monitoring and fault diagnosis is a kind of practical technology which synthesizes many disciplines. It not only needs to fully analyze the special mechanical parameters of all kinds of equipment when they produce different faults, but also needs to extract the corresponding fault parameter characteristics through certain detection indexes and methods, in order to realize the analysis task of mechanical fault related parameters. It is necessary to design the corresponding hardware detection device and further deal with the appropriate digital signal processing algorithm. In the operating environment of some mechanical equipment, there may be some factors, such as high temperature and high heat, complex space structure, etc. Therefore, when installing data acquisition equipment, it is often faced with problems such as difficult wiring and high cost. Another unavoidable problem is that general monitoring devices often use wired methods to transmit data between devices. In order to avoid the signal interference caused by the field electromagnetic environment in the process of data acquisition and data transmission, The general solution is to select high-performance electronic components and develop complex circuit structures to eliminate interference noise in the signal and prevent packet loss during communication. In this paper, the feasibility study of how to reduce the cost of fault diagnosis system is carried out from two angles. Firstly, the traditional wired communication network is transformed into a wireless network based on ZigBee technology. The complexity of the sensor network is reduced. Secondly, the signal de-noising and related algorithms are implemented. The software algorithm is used to replace the hardware circuit as far as possible. In this paper, the wavelet transform filter Hilbert transform is used to obtain the envelope and the fast Fourier transform respectively. The signal processed by the above algorithm can be better. To provide the fault diagnosis engineer with the operating parameters of the equipment to be monitored, This paper also introduces how to transplant the host computer processing software to the embedded operating system to enhance the expansibility of the system. The gateway node and the host computer monitoring software are combined into a complete wireless vibration monitoring system and the corresponding performance tests are carried out in the laboratory environment.
【學(xué)位授予單位】：青島科技大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2017
【分類號】：TP274;TN92

【相似文獻】

相關(guān)期刊論文 前10條

1 楊建中,楊培,周根來;旋轉(zhuǎn)機械轉(zhuǎn)子振動監(jiān)測系統(tǒng)的檢驗及安裝[J];煉油設(shè)計;2000年05期

2 楊敏;馬光輝;吳乃軍;;大功率高速泵的振動監(jiān)測系統(tǒng)及其應(yīng)用[J];火箭推進;2013年01期

3 楊開九;;在線振動監(jiān)測系統(tǒng)在大型設(shè)備故障預(yù)防及診斷中的應(yīng)用[J];中國科技信息;2013年14期

4 盛迎新;周繼威;;風(fēng)電機組在線振動監(jiān)測系統(tǒng)及現(xiàn)場應(yīng)用[J];振動.測試與診斷;2010年06期

5 敬明永;;振動監(jiān)測系統(tǒng)在旋轉(zhuǎn)機械上的應(yīng)用研究[J];中國新技術(shù)新產(chǎn)品;2012年05期

6 黃燕;一種振動監(jiān)測系統(tǒng)的應(yīng)用[J];電子儀器儀表用戶;2000年01期

7 付冬妮,王友釗;旋轉(zhuǎn)機械在線振動監(jiān)測系統(tǒng)的研究[J];機床與液壓;2005年01期

8 馬文科;鐘小倩;;基于嵌入式振動監(jiān)測系統(tǒng)的設(shè)計與研究[J];萍鄉(xiāng)高等專科學(xué)校學(xué)報;2013年06期

9 李嬈;六通道振動監(jiān)測系統(tǒng)[J];儀表技術(shù)與傳感器;2001年08期

10 羅仁澤;付元華;代云中;曹鵬;趙新;劉紅軍;孫熙諾;;基于單片機的旋轉(zhuǎn)機械振動監(jiān)測系統(tǒng)[J];計算機測量與控制;2013年12期

相關(guān)會議論文 前1條

1 呂麗娟;王瑩;;基于無線網(wǎng)絡(luò)的振動監(jiān)測系統(tǒng)的設(shè)計與實現(xiàn)[A];中國航海學(xué)會通信導(dǎo)航專業(yè)委員會2006年學(xué)術(shù)年會論文集[C];2006年

相關(guān)碩士學(xué)位論文 前10條

1 車駿;基于無線傳感器網(wǎng)絡(luò)的振動監(jiān)測系統(tǒng)[D];西安電子科技大學(xué);2015年

2 張冬平;風(fēng)電機組在線振動監(jiān)測系統(tǒng)開發(fā)與應(yīng)用[D];華北電力大學(xué)(北京);2016年

3 盧平光;基于ZigBee技術(shù)的無線振動監(jiān)測系統(tǒng)研制[D];青島科技大學(xué);2017年

4 王斌;分布式實時振動監(jiān)測系統(tǒng)設(shè)計[D];西安理工大學(xué);2008年

5 楊棟;高速鐵路軌道振動監(jiān)測系統(tǒng)的研究與實現(xiàn)[D];蘭州交通大學(xué);2012年

6 郭丹楓;基于DSP的汽輪機轉(zhuǎn)子振動監(jiān)測系統(tǒng)研究[D];哈爾濱理工大學(xué);2007年

7 李大慶;旋轉(zhuǎn)機械振動監(jiān)測系統(tǒng)的設(shè)計和實現(xiàn)[D];北京工業(yè)大學(xué);2006年

8 張仕龍;基于FPGA的管式分離機振動監(jiān)測系統(tǒng)的設(shè)計[D];南京林業(yè)大學(xué);2009年

9 沈玉強;基于CAN總線設(shè)備振動監(jiān)測系統(tǒng)研究[D];華北電力大學(xué)（北京）;2008年

10 杜可兵;基于無線傳感器網(wǎng)絡(luò)的振動監(jiān)測系統(tǒng)[D];華北電力大學(xué)（北京）;2011年

，

本文編號：1610698