本文關(guān)鍵詞： 提升機(jī) 監(jiān)測(cè)系統(tǒng) 4G傳輸 可靠性 因子　出處：《太原理工大學(xué)》2017年碩士論文　論文類型：學(xué)位論文

【摘要】：礦井提升機(jī)作為煤礦生產(chǎn)的重要組成部分,對(duì)其安全性的監(jiān)測(cè)顯得尤為重要。而隨著機(jī)械制造技術(shù)精細(xì)化的發(fā)展模式,設(shè)備的常規(guī)監(jiān)測(cè)也受到人們的關(guān)注。目前越來越成熟的監(jiān)測(cè)手段無疑給提升機(jī)的數(shù)據(jù)監(jiān)測(cè)提供了技術(shù)支持。本文深入分析提升機(jī)的基本組成結(jié)構(gòu)、運(yùn)行特點(diǎn)和常見故障形式,詳細(xì)研究了幾種重要參數(shù)的監(jiān)測(cè)原理并比較他們的不同,以便選擇適用的方法來進(jìn)行測(cè)量計(jì)算。要建立一個(gè)完整的測(cè)量系統(tǒng),需從硬件、軟件、算法三方面入手。其中硬件是支撐,軟件是核心,而算法便是銜接這兩者很好的橋梁。首先硬件方面,主要包括傳感器選型、驅(qū)動(dòng)板與ATK-SIM900A模塊集成以及與USR-LTE-7S4型4G無線終端匹配。在選型上應(yīng)充分考慮提升機(jī)的特點(diǎn),此外還需考慮環(huán)境因素對(duì)傳感器的影響。對(duì)于USR-LTE-7S4型4G模塊則重點(diǎn)在其與ATK-SIM900A模塊的集成設(shè)計(jì)。主要設(shè)計(jì)內(nèi)容為:主控制器及管腳分配、STM32與ATK-SIM900A模塊通信電路設(shè)計(jì)、SDIO接口電路設(shè)計(jì)、然后是4G模塊協(xié)議配置。其次軟件方面,主要包括采集信號(hào)模塊、存儲(chǔ)數(shù)據(jù)功能模塊、信號(hào)分析處理模塊、查詢歷史數(shù)據(jù)模塊以及報(bào)警模塊等。應(yīng)用LabVIEW軟件的圖式化設(shè)計(jì)語言,方便操作者能盡快獲得監(jiān)測(cè)信息,且對(duì)機(jī)器的操作也將變得直觀明了。將虛擬儀器技術(shù)應(yīng)用到提升機(jī)的監(jiān)測(cè)并實(shí)現(xiàn)網(wǎng)絡(luò)數(shù)據(jù)實(shí)時(shí)傳輸,可以使提升機(jī)的運(yùn)行更加安全可靠。最后是關(guān)于趨勢(shì)預(yù)測(cè)算法的研究,主要包括考慮相關(guān)性制動(dòng)系統(tǒng)的研究與因子歸一兩部分的研究分析。本課題以故障相關(guān)為假設(shè),將影響提升機(jī)制動(dòng)系統(tǒng)的潤滑系統(tǒng)與液壓站系統(tǒng)作為研究對(duì)象,借助相關(guān)系數(shù)來量化他們之間的影響作用,并建立制動(dòng)系統(tǒng)的可靠度模型。應(yīng)用大量的數(shù)據(jù)驗(yàn)證所建立模型的正確性,所得到的的可靠度函數(shù)與故障率函數(shù)可作為檢修時(shí)的參考;其次為了實(shí)現(xiàn)能提前預(yù)警的目標(biāo),研究嘗試應(yīng)用因子歸一來進(jìn)行數(shù)據(jù)處理。該算法的優(yōu)點(diǎn)在于能將不同量綱、不同數(shù)量級(jí)別的數(shù)據(jù)在同一標(biāo)準(zhǔn)體系下分析它們對(duì)某一系統(tǒng)的影響作用。在采用不同的表達(dá)函數(shù)情況下可得出不同的因子:價(jià)值因子、預(yù)警因子。相應(yīng)的監(jiān)測(cè)參數(shù)會(huì)在超限前期出現(xiàn)高位集中或者低位集中,利用這種特點(diǎn)便可實(shí)現(xiàn)預(yù)警的目的。本監(jiān)測(cè)系統(tǒng)只對(duì)部分項(xiàng)目做出改進(jìn),在傳輸速率與穩(wěn)定性上4G傳輸模塊有一定的改進(jìn),實(shí)時(shí)性能得到較好的體現(xiàn)。相應(yīng)的信號(hào)分析與處理也做出相應(yīng)的改進(jìn),基本能實(shí)現(xiàn)實(shí)時(shí)監(jiān)測(cè)并做出反饋,從而達(dá)到預(yù)警的目的。
[Abstract]:Mine hoist as an important part of coal mine production, its safety monitoring is particularly important. At present, more and more mature monitoring means are undoubtedly providing technical support for the data monitoring of hoist. This paper deeply analyzes the basic structure of hoist. Operating characteristics and common fault forms, the monitoring principle of several important parameters is studied in detail and their differences are compared, in order to select the suitable method for measurement and calculation, a complete measurement system should be established. The hardware is the support, the software is the core, and the algorithm is a good bridge to connect the two. First of all, the hardware, mainly including sensor selection. The driver board is integrated with ATK-SIM900A module and matched with USR-LTE-7S4 4G wireless terminal. In addition, it is necessary to consider the influence of environmental factors on the sensor. For the USR-LTE-7S4 4G module, the emphasis is on the integration design with the ATK-SIM900A module. The main contents of the design are as follows:. Main controller and pin allocation. Design of communication circuit between STM32 and ATK-SIM900A module and design of SDIO interface circuit, then 4G module protocol configuration. Secondly, software, mainly including signal acquisition module. Storage data function module, signal analysis and processing module, query history data module and alarm module, etc. The schematic design language of LabVIEW software is used to facilitate the operator to obtain monitoring information as soon as possible. And the operation of the machine will become intuitionistic. The virtual instrument technology will be applied to the monitoring of hoist and the real-time transmission of network data will be realized. It can make the hoist run more safely and reliably. Finally, the trend prediction algorithm is studied. This paper takes the fault correlation as the hypothesis and takes the lubrication system and the hydraulic station system which affect the braking system of the hoist as the research object. The reliability model of braking system is established by quantifying the influence between them with the help of correlation coefficient, and the correctness of the model is verified by a large number of data. The reliability function and the failure rate function obtained can be used as reference for maintenance. Secondly, in order to achieve the goal of early warning, the paper tries to apply factor regression to data processing. The advantage of this algorithm is that it can measure different dimensions. Data of different quantity levels are analyzed under the same standard system. Different factors can be obtained by using different expression functions: value factors. Early warning factors. The corresponding monitoring parameters will appear high concentration or low concentration in the early stage of the limit, using this characteristic can achieve the purpose of early warning. This monitoring system only makes improvements to some items. In the transmission rate and stability of 4G transmission module has a certain improvement, real-time performance can be better reflected. The corresponding signal analysis and processing also make corresponding improvements, can basically achieve real-time monitoring and feedback. In order to achieve the purpose of early warning.
【學(xué)位授予單位】：太原理工大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：TD633;TP274

【參考文獻(xiàn)】

相關(guān)期刊論文 前10條

1 姜瑞;;基于STM32F103ZET6數(shù)字示波器設(shè)計(jì)[J];集成電路應(yīng)用;2017年01期

2 孫曉瑜;何婧;;太陽能熱水器智能控制器設(shè)計(jì)[J];電子技術(shù)與軟件工程;2016年14期

3 高文科;張志勝;周一帆;劉樝;劉祺;;存在故障相關(guān)及不完備檢測(cè)的主輔并聯(lián)系統(tǒng)可靠性建模與維修策略[J];自動(dòng)化學(xué)報(bào);2015年12期

4 Tian Jie;Wang Hongyao;Zhou Junying;Meng Guoying;;Study of pre-processing model of coal-mine hoist wire-rope fatigue damage signal[J];International Journal of Mining Science and Technology;2015年06期

5 張江林;段東;弓培林;劉混舉;;基于物聯(lián)網(wǎng)的礦井提升機(jī)狀態(tài)監(jiān)測(cè)系統(tǒng)[J];機(jī)械工程與自動(dòng)化;2015年05期

6 王春香;紀(jì)松波;;基于4G網(wǎng)絡(luò)的移動(dòng)多媒體傳輸關(guān)鍵技術(shù)[J];無線電通信技術(shù);2014年05期

7 張英芝;吳茂坤;申桂香;孫曙光;宋琪;;基于DEMATEL/ISM的組合機(jī)床故障相關(guān)性分析[J];工業(yè)工程;2014年03期

8 賈玉景;代穎軍;;礦井提升機(jī)盤式制動(dòng)器設(shè)計(jì)[J];機(jī)床與液壓;2014年10期

9 李娟莉;楊兆建;;提升機(jī)故障診斷不確定性推理方法[J];煤炭學(xué)報(bào);2014年03期

10 李路遙;王志新;鄒建龍;;采用STM32F103ZET6的移動(dòng)應(yīng)急照明電源人機(jī)交互系統(tǒng)設(shè)計(jì)[J];電源技術(shù);2014年04期

相關(guān)碩士學(xué)位論文 前5條

1 關(guān)瑞豐;基于壓力流量雙反饋的電控變量泵嵌入式控制系統(tǒng)研究[D];浙江大學(xué);2016年

2 楊亞濤;礦井提升機(jī)監(jiān)測(cè)與故障診斷系統(tǒng)研究[D];西安科技大學(xué);2013年

3 李強(qiáng);煤礦井下開關(guān)監(jiān)測(cè)系統(tǒng)研究與實(shí)現(xiàn)[D];齊齊哈爾大學(xué);2013年

4 王詩;基于數(shù)據(jù)挖掘技術(shù)的礦用提升機(jī)故障預(yù)警系統(tǒng)的研究[D];北京郵電大學(xué);2009年

5 楊君;基于網(wǎng)絡(luò)化虛擬儀器的礦井提升機(jī)監(jiān)測(cè)系統(tǒng)設(shè)計(jì)與研究[D];昆明理工大學(xué);2008年

，

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