本文關(guān)鍵詞： 采棉機(jī) 工況監(jiān)測 LabVIEW CAN總線 AR模型　出處：《中國農(nóng)業(yè)機(jī)械化科學(xué)研究院》2017年碩士論文　論文類型：學(xué)位論文

【摘要】：棉花歷來是我國一級戰(zhàn)略性物資,并與國家的糧食安全同等重要,關(guān)乎國家經(jīng)濟(jì)安全。棉花產(chǎn)業(yè)對國計民生、紡織工業(yè)以至整個國民經(jīng)濟(jì)發(fā)展都有著舉足輕重的作用�，F(xiàn)代農(nóng)業(yè)的快速發(fā)展和農(nóng)業(yè)機(jī)械化新技術(shù)的更新促使采棉機(jī)得到廣泛使用。針對采棉機(jī)價值高、服役時間長、生命周期管理和維護(hù)難度大等特點,應(yīng)用信息化、無線移動互聯(lián)網(wǎng)、虛擬儀器技術(shù)、遠(yuǎn)程故障診斷等技術(shù)手段,重點研究核心部件作業(yè)過程檢測、故障遠(yuǎn)程診斷等環(huán)節(jié)信息管理方法,有利于提高采棉機(jī)作業(yè)質(zhì)量,提高作業(yè)效率,降低故障率。為了建立比較全面的采棉機(jī)工況監(jiān)測系統(tǒng),本文以貴航4MZ-5自走式采棉機(jī)為研究對象,在分析了國內(nèi)外農(nóng)機(jī)監(jiān)測系統(tǒng)的基礎(chǔ)上,設(shè)計了一套采棉機(jī)作業(yè)工況實時監(jiān)測系統(tǒng)。主要的研究內(nèi)容包括:1.利用LabVIEW開發(fā)了基于CAN總線通信網(wǎng)絡(luò)的采棉機(jī)作業(yè)工況監(jiān)測系統(tǒng),實現(xiàn)了對采棉機(jī)的采摘頭、風(fēng)機(jī)、風(fēng)管、發(fā)動機(jī)、液壓油管等核心部件工況的實時監(jiān)測及故障報警;根據(jù)設(shè)計的遠(yuǎn)程通訊協(xié)議,通過遠(yuǎn)程數(shù)據(jù)傳輸模塊(DTU)實現(xiàn)了車載監(jiān)控終端和遠(yuǎn)程中心服務(wù)器之間的數(shù)據(jù)通信,從而達(dá)到對采棉機(jī)作業(yè)工況進(jìn)行遠(yuǎn)程監(jiān)測的目的。2.軸承故障診斷方法研究及試驗。本文設(shè)計了基于軸承溫升趨勢的故障預(yù)警,結(jié)合奇異譜分析與AR模型對軸承溫升趨勢特征進(jìn)行提取、預(yù)測,并基于Itakura信息距離對軸承工況進(jìn)行故障判定。并進(jìn)行了實驗室軸承溫升試驗,有效地驗證了所設(shè)計的基于軸承溫升趨勢的故障預(yù)警系統(tǒng)的準(zhǔn)確性。3.采棉機(jī)棉箱火情實驗室試驗�；贑O與NO傳感器,研究了陰燃發(fā)生時所產(chǎn)生的CO與NO氣體濃度的相應(yīng)變化情況,及棉花在低氧陰燃、富氧陰燃情況下的火情發(fā)展情況與相應(yīng)發(fā)展階段的規(guī)律。進(jìn)而聯(lián)合CO與NO傳感器進(jìn)行棉箱火情的綜合監(jiān)測及預(yù)警,增加檢測精度,減少誤報率。4.田間試驗。將設(shè)計的所有監(jiān)測裝置安裝在采棉機(jī)相應(yīng)的監(jiān)測位置,在新疆石河子進(jìn)行機(jī)器運轉(zhuǎn)試驗。試驗期間整個監(jiān)測系統(tǒng)工作正常,CAN總線及遠(yuǎn)程通訊正常,采棉機(jī)各監(jiān)測參數(shù)能實時顯示、保存,在工作過程中起到了實時監(jiān)測采棉機(jī)運行狀態(tài)的作用。
[Abstract]:Cotton has always been a first-level strategic material in our country, and it is as important as the national food security, which is related to the national economic security. The cotton industry is of great importance to the national economy and the people's livelihood. The rapid development of modern agriculture and the renewal of new technology of agricultural mechanization promote the wide use of cotton pickers. Life cycle management and maintenance are very difficult. By using information technology, wireless mobile Internet, virtual instrument technology, remote fault diagnosis and other technical means, this paper focuses on the core components of the job process detection, The information management method of remote fault diagnosis is helpful to improve the work quality, improve the efficiency and reduce the failure rate of cotton harvester. In order to establish a more comprehensive monitoring system of cotton harvester working conditions, This paper takes Guihang 4MZ-5 self-propelled cotton harvester as the research object, on the basis of analyzing the monitoring system of agricultural machinery at home and abroad, A set of real time monitoring system of cotton harvester working condition is designed. The main research contents include: 1. Using LabVIEW to develop the monitoring system of cotton picking machine working condition based on CAN bus communication network, and realizing the picking head, fan and air pipe of cotton picker. According to the designed remote communication protocol, the data communication between the on-board monitoring terminal and the remote central server is realized through the remote data transmission module (DTU). In order to achieve the purpose of remote monitoring the operating conditions of cotton pickers. 2. Research and test of bearing fault diagnosis methods. This paper designs a fault warning system based on bearing temperature rise trend. Combined with singular spectrum analysis and AR model, the feature of bearing temperature rise trend was extracted and predicted, and the bearing working condition was judged based on Itakura information distance, and the temperature rise test of bearing was carried out in laboratory. The accuracy of the designed fault warning system based on bearing temperature rise trend is verified effectively. 3. Laboratory test of cotton case fire of cotton picker. Based on CO and no sensors, The corresponding changes of CO and no gas concentration produced during smoldering and cotton smoldering at low oxygen were studied. Under the condition of oxygen-enriched smoldering, the development of the fire and the law of the corresponding development stage are discussed. Furthermore, combined with the CO and no sensors, the comprehensive monitoring and early warning of the fire situation in the cotton box are carried out to increase the accuracy of the detection. To reduce false alarm rate .4. field test. Install all the monitoring devices designed in the corresponding monitoring position of cotton harvester and carry out machine operation test in Shihezi, Xinjiang. During the test, the whole monitoring system works normally and can bus and remote communication are normal. The monitoring parameters of cotton harvester can be displayed and preserved in real time, which plays a role in monitoring the running state of cotton harvester in the working process.
【學(xué)位授予單位】：中國農(nóng)業(yè)機(jī)械化科學(xué)研究院
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2017
【分類號】：S225.911

【參考文獻(xiàn)】

相關(guān)期刊論文 前10條

1 劉曉光;張亞靖;胡靜濤;劉秀玲;;基于CAN總線的農(nóng)機(jī)導(dǎo)航控制系統(tǒng)終端的設(shè)計與實現(xiàn)[J];農(nóng)機(jī)化研究;2016年11期

2 李永耀;;虛擬儀器技術(shù)在農(nóng)業(yè)裝備測控中的應(yīng)用[J];山東工業(yè)技術(shù);2016年15期

3 汪鳳珠;張俊寧;李瑞川;偉利國;韓湘;劉陽春;;花生聯(lián)合收獲機(jī)作業(yè)在線監(jiān)測與故障預(yù)警系統(tǒng)研究[J];農(nóng)業(yè)機(jī)械學(xué)報;2015年S1期

4 劉軍;馬蓉;梁錦;;基于CAN總線的采棉機(jī)運行狀態(tài)檢測系統(tǒng)設(shè)計[J];農(nóng)機(jī)化研究;2015年10期

5 李丹陽;李彬;李江全;;基于北斗導(dǎo)航、百度地圖的采棉機(jī)監(jiān)控系統(tǒng)設(shè)計[J];江蘇農(nóng)業(yè)科學(xué);2015年09期

6 劉克毅;李鵬;肖萍;;采棉機(jī)輸送系統(tǒng)空氣動力學(xué)分析[J];中國農(nóng)機(jī)化學(xué)報;2015年04期

7 徐斌;;我國農(nóng)業(yè)機(jī)械的發(fā)展重點與趨勢分析[J];當(dāng)代農(nóng)機(jī);2015年05期

8 胡宇;王志濱;;籽棉和皮棉陰燃特性的對比實驗研究[J];火災(zāi)科學(xué);2015年01期

9 苗中華;陸鳴超;胡曉東;鄒兆光;;基于虛擬儀器技術(shù)的采棉機(jī)智能監(jiān)控系統(tǒng)開發(fā)與應(yīng)用[J];農(nóng)業(yè)工程學(xué)報;2014年23期

10 劉榮;張帆;;采棉機(jī)監(jiān)控終端的研制及作業(yè)面積算法[J];江蘇農(nóng)業(yè)科學(xué);2013年11期

相關(guān)碩士學(xué)位論文 前10條

1 王浩;基于壓電阻抗與改進(jìn)馬氏距離的木試件損傷檢測試驗研究[D];華中科技大學(xué);2015年

2 余文航;基于振動信號數(shù)據(jù)采集與無線傳輸?shù)牧熊囕S承在線監(jiān)測系統(tǒng)設(shè)計[D];中國科學(xué)技術(shù)大學(xué);2015年

3 凌炎鑫;無線傳感器網(wǎng)絡(luò)在鐵路棉花運輸安全監(jiān)測中的應(yīng)用研究[D];北京交通大學(xué);2013年

4 趙凱林;機(jī)采棉配套技術(shù)的應(yīng)用與推廣[D];新疆農(nóng)業(yè)大學(xué);2013年

5 林鑫潔;基于CAN總線的棉花在線測產(chǎn)系統(tǒng)的設(shè)計與研究[D];石河子大學(xué);2013年

6 林昌建;基于光電傳感的棉花產(chǎn)量在線監(jiān)測系統(tǒng)研究[D];上海交通大學(xué);2013年

7 田野;基于無線網(wǎng)絡(luò)的嵌入式視頻監(jiān)視系統(tǒng)的設(shè)計與實現(xiàn)[D];南京農(nóng)業(yè)大學(xué);2012年

8 董群英;基于非平穩(wěn)時序分析的滾動軸承故障特征提取方法研究[D];中南大學(xué);2012年

9 高飛;聯(lián)合收割機(jī)主要工作部件監(jiān)測裝置研究[D];浙江大學(xué);2012年

10 易立單;聯(lián)合收割機(jī)堵塞故障監(jiān)測系統(tǒng)研究[D];江蘇大學(xué);2010年

，

本文編號：1544623