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

【摘要】：棉花歷來(lái)是我國(guó)一級(jí)戰(zhàn)略性物資,并與國(guó)家的糧食安全同等重要,關(guān)乎國(guó)家經(jīng)濟(jì)安全。棉花產(chǎn)業(yè)對(duì)國(guó)計(jì)民生、紡織工業(yè)以至整個(gè)國(guó)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(duì)采棉機(jī)價(jià)值高、服役時(shí)間長(zhǎng)、生命周期管理和維護(hù)難度大等特點(diǎn),應(yīng)用信息化、無(wú)線(xiàn)移動(dòng)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(diǎn)研究核心部件作業(yè)過(guò)程檢測(cè)、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(cè)系統(tǒng),本文以貴航4MZ-5自走式采棉機(jī)為研究對(duì)象,在分析了國(guó)內(nèi)外農(nóng)機(jī)監(jiān)測(cè)系統(tǒng)的基礎(chǔ)上,設(shè)計(jì)了一套采棉機(jī)作業(yè)工況實(shí)時(shí)監(jiān)測(cè)系統(tǒng)。主要的研究?jī)?nèi)容包括:1.利用LabVIEW開(kāi)發(fā)了基于CAN總線(xiàn)通信網(wǎng)絡(luò)的采棉機(jī)作業(yè)工況監(jiān)測(cè)系統(tǒng),實(shí)現(xiàn)了對(duì)采棉機(jī)的采摘頭、風(fēng)機(jī)、風(fēng)管、發(fā)動(dòng)機(jī)、液壓油管等核心部件工況的實(shí)時(shí)監(jiān)測(cè)及故障報(bào)警;根據(jù)設(shè)計(jì)的遠(yuǎn)程通訊協(xié)議,通過(guò)遠(yuǎn)程數(shù)據(jù)傳輸模塊(DTU)實(shí)現(xiàn)了車(chē)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(duì)采棉機(jī)作業(yè)工況進(jìn)行遠(yuǎn)程監(jiān)測(cè)的目的。2.軸承故障診斷方法研究及試驗(yàn)。本文設(shè)計(jì)了基于軸承溫升趨勢(shì)的故障預(yù)警,結(jié)合奇異譜分析與AR模型對(duì)軸承溫升趨勢(shì)特征進(jìn)行提取、預(yù)測(cè),并基于Itakura信息距離對(duì)軸承工況進(jìn)行故障判定。并進(jìn)行了實(shí)驗(yàn)室軸承溫升試驗(yàn),有效地驗(yàn)證了所設(shè)計(jì)的基于軸承溫升趨勢(shì)的故障預(yù)警系統(tǒng)的準(zhǔn)確性。3.采棉機(jī)棉箱火情實(shí)驗(yàn)室試驗(yàn)�；贑O與NO傳感器,研究了陰燃發(fā)生時(shí)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(cè)及預(yù)警,增加檢測(cè)精度,減少誤報(bào)率。4.田間試驗(yàn)。將設(shè)計(jì)的所有監(jiān)測(cè)裝置安裝在采棉機(jī)相應(yīng)的監(jiān)測(cè)位置,在新疆石河子進(jìn)行機(jī)器運(yùn)轉(zhuǎn)試驗(yàn)。試驗(yàn)期間整個(gè)監(jiān)測(cè)系統(tǒng)工作正常,CAN總線(xiàn)及遠(yuǎn)程通訊正常,采棉機(jī)各監(jiān)測(cè)參數(shù)能實(shí)時(shí)顯示、保存,在工作過(guò)程中起到了實(shí)時(shí)監(jiān)測(cè)采棉機(jī)運(yùn)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(guó)農(nóng)業(yè)機(jī)械化科學(xué)研究院
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類(lèi)號(hào)】：S225.911

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