本文選題：提升設(shè)備 + 故障診斷　； 參考：《太原理工大學(xué)》2017年碩士論文

【摘要】：礦井提升設(shè)備負(fù)責(zé)人員與矸石的運輸,其在煤礦生產(chǎn)中發(fā)揮著極其重要的作用,一旦發(fā)生故障,就會嚴(yán)重影響煤礦的正常生產(chǎn),甚至造成人身傷亡。因此,開發(fā)能夠?qū)ζ涔ぷ髑闆r進(jìn)行全面監(jiān)測與故障診斷的試驗平臺具有重要的實際意義�；诮M態(tài)技術(shù)、數(shù)據(jù)庫技術(shù)、網(wǎng)絡(luò)通訊技術(shù)和ASP.NET技術(shù),分別開發(fā)了提升設(shè)備工況監(jiān)測與故障診斷現(xiàn)場試驗子平臺、提升設(shè)備工況監(jiān)測與故障診斷互聯(lián)網(wǎng)試驗子平臺、提升設(shè)備工況監(jiān)測與故障診斷移動互聯(lián)網(wǎng)試驗子平臺。第一,基于提升設(shè)備的工作原理和結(jié)構(gòu)原理將提升設(shè)備劃分為運行系統(tǒng)、制動系統(tǒng)、電控系統(tǒng)、主軸系統(tǒng)、磁粉制動器加載系統(tǒng),通過這種方式的劃分,分別開發(fā)其監(jiān)測與診斷功能,不僅達(dá)到了全面監(jiān)測提升設(shè)備的目的,而且邏輯較為清晰,用戶體驗較好。第二,基于組態(tài)技術(shù)對提升設(shè)備上述各系統(tǒng)的監(jiān)測與診斷子平臺進(jìn)行了開發(fā),子平臺分為技術(shù)參數(shù)查詢、監(jiān)測與診斷、數(shù)據(jù)報表、趨勢曲線等四個功能模塊,分別實現(xiàn)了提升設(shè)備各個系統(tǒng)的技術(shù)參數(shù)、工況監(jiān)測與故障診斷、實時數(shù)據(jù)報表和歷史數(shù)據(jù)報表、趨勢曲線的查詢。第三,鑒于互聯(lián)網(wǎng)技術(shù)的蓬勃發(fā)展,對上述基于組態(tài)技術(shù)的現(xiàn)場試驗子平臺進(jìn)行了擴(kuò)展,分別開發(fā)了提升設(shè)備工況監(jiān)測與故障診斷互聯(lián)網(wǎng)試驗子平臺和提升設(shè)備工況監(jiān)測與故障診斷移動互聯(lián)網(wǎng)試驗子平臺,其中互聯(lián)網(wǎng)試驗子平臺包括設(shè)備監(jiān)測、設(shè)備診斷、設(shè)備資料、操作規(guī)程等在內(nèi)的十一個功能模塊,移動互聯(lián)網(wǎng)試驗子平臺包括設(shè)備監(jiān)測、設(shè)備診斷、曲線查詢、數(shù)據(jù)查詢等在內(nèi)的七個功能模塊。方便了人們使用個人電腦和移動設(shè)備(如手機(jī))對提升設(shè)備進(jìn)行遠(yuǎn)程工況監(jiān)測與故障診斷。第四,本文針對開發(fā)出來的平臺,進(jìn)行了測試與現(xiàn)場應(yīng)用。測試結(jié)果表明,該平臺能夠有效的對提升設(shè)備以現(xiàn)場、互聯(lián)網(wǎng)、移動互聯(lián)網(wǎng)的方式進(jìn)行工況監(jiān)測與故障診斷。
[Abstract]:The transportation of mine hoisting equipment personnel and gangue plays an extremely important role in coal mine production. Once failure occurs, it will seriously affect the normal production of coal mine, and even cause casualties. Therefore, it is of great practical significance to develop a test platform for monitoring and fault diagnosis. Based on configuration technology, database technology, network communication technology and ASP.NET technology, a sub-platform for monitoring and fault diagnosis of lifting equipment is developed, and an Internet test sub-platform for monitoring and fault diagnosis of lifting equipment is developed, respectively. Lifting equipment condition monitoring and fault diagnosis mobile Internet test subplatform. First, based on the working principle and structure principle of the lifting equipment, the lifting equipment is divided into running system, braking system, electric control system, spindle system, magnetic powder brake loading system. The function of monitoring and diagnosis is developed separately, which not only achieves the purpose of overall monitoring and lifting equipment, but also has clear logic and good user experience. Secondly, based on configuration technology, the monitoring and diagnosis sub-platform of the above mentioned systems of lifting equipment is developed. The sub-platform is divided into four functional modules: technical parameter query, monitoring and diagnosis, data report, trend curve, etc. The technical parameters, condition monitoring and fault diagnosis, real-time data report and historical data report, and trend curve query are realized respectively. Third, in view of the vigorous development of Internet technology, the above field test subplatform based on configuration technology has been extended. The working condition monitoring and fault diagnosis sub-platform of lifting equipment and mobile Internet test platform of lifting equipment condition monitoring and fault diagnosis are developed respectively. The Internet test subplatform includes equipment monitoring and equipment diagnosis. Eleven functional modules, such as equipment information, operation rules, etc., and seven functional modules, including equipment monitoring, equipment diagnosis, curve query, data query and so on, are included in the mobile Internet test subplatform. It is convenient for people to use personal computers and mobile devices (such as mobile phones) to monitor and diagnose remote working conditions of lifting equipment. Fourthly, this paper carries on the test and the field application to the developed platform. The test results show that the platform can effectively monitor and diagnose the working conditions of the lifting equipment in the way of field, Internet and mobile Internet.
【學(xué)位授予單位】：太原理工大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2017
【分類號】：TP274;TD534

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