【摘要】：煤礦機(jī)電設(shè)備的維護(hù)工作與一線生產(chǎn)人員的生命安全息息相關(guān)，機(jī)電設(shè)備一旦發(fā)生突發(fā)性故障會(huì)給企業(yè)造成重大損失甚至人員傷亡，面對(duì)這些問(wèn)題迫切需要采用更科學(xué)的技術(shù)手段來(lái)提高機(jī)電設(shè)備維護(hù)工作的質(zhì)量。 為此本文設(shè)計(jì)一套機(jī)電設(shè)備維護(hù)無(wú)線檢測(cè)系統(tǒng)，逐一對(duì)各部分功能的設(shè)計(jì)與實(shí)現(xiàn)進(jìn)行了詳細(xì)地分析，主要包括機(jī)電設(shè)備維護(hù)無(wú)線檢測(cè)軟件、數(shù)據(jù)采集Web應(yīng)用、手持移動(dòng)終端軟件以及數(shù)據(jù)庫(kù)表結(jié)構(gòu)，建設(shè)3臺(tái)MIMO無(wú)線網(wǎng)絡(luò)基站，實(shí)現(xiàn)地面部門的無(wú)線網(wǎng)絡(luò)全覆蓋，對(duì)設(shè)備維護(hù)專家對(duì)樣本的分析結(jié)果進(jìn)行處理，用于訓(xùn)練、驗(yàn)證設(shè)備狀態(tài)檢測(cè)神經(jīng)網(wǎng)絡(luò)模型，再使用該神經(jīng)網(wǎng)絡(luò)實(shí)現(xiàn)機(jī)電設(shè)備狀態(tài)檢測(cè)，該系統(tǒng)解決了機(jī)電設(shè)備維護(hù)工作質(zhì)量的監(jiān)督問(wèn)題與使用狀態(tài)的檢測(cè)問(wèn)題。 論文結(jié)構(gòu)按照理論、硬件、軟件、調(diào)試的順序進(jìn)行安排，整個(gè)課題研究過(guò)程中主要進(jìn)行6個(gè)方面的工作： （1）對(duì)機(jī)電設(shè)備維護(hù)工作的監(jiān)督以及設(shè)備工作狀態(tài)的檢測(cè)現(xiàn)狀進(jìn)行分析； （2）分析機(jī)電設(shè)備維護(hù)無(wú)線檢測(cè)系統(tǒng)涉及的理論，根據(jù)檢測(cè)任務(wù)需求，通過(guò)對(duì)比分析確定采用徑向基神經(jīng)網(wǎng)絡(luò) （3）設(shè)計(jì)系統(tǒng)整體結(jié)構(gòu)，從硬件的功能需求出發(fā)，分析了MIMO無(wú)線網(wǎng)絡(luò)通信技術(shù)和RFID射頻識(shí)別技術(shù)，選擇各技術(shù)對(duì)應(yīng)的硬件設(shè)備； （4）分析系統(tǒng)軟件需求，設(shè)計(jì)軟件的整體架構(gòu)及主要模塊的功能，根據(jù)類圖對(duì)軟件主要類的實(shí)現(xiàn)進(jìn)行分析； （5）軟硬件系統(tǒng)聯(lián)合調(diào)試以及檢測(cè)算法的仿真驗(yàn)證； （6）最后對(duì)本課題的研究成果進(jìn)行總結(jié)，展望本課題領(lǐng)域研究朝向大數(shù)據(jù)、云平臺(tái)的方向發(fā)展。 本課題的創(chuàng)新之處在于實(shí)時(shí)檢測(cè)手持終端上傳的事件記錄，，通過(guò)對(duì)比事件時(shí)間來(lái)監(jiān)督設(shè)備維護(hù)工作進(jìn)度，然后將移動(dòng)終端上傳的數(shù)據(jù)作為輸入向量，利用神經(jīng)網(wǎng)絡(luò)技術(shù)檢測(cè)設(shè)備工作狀態(tài)，以此為參考對(duì)設(shè)備維護(hù)工作的安排進(jìn)行調(diào)整。通過(guò)實(shí)驗(yàn)數(shù)據(jù)分析以及課題實(shí)驗(yàn)單位技術(shù)人員的反饋，可以了解到本系統(tǒng)提高了設(shè)備維護(hù)工作的質(zhì)量和效率，在保障煤礦安全生產(chǎn)方面起到了積極的作用。
[Abstract]:The maintenance of mechanical and electrical equipment in coal mine is closely related to the life safety of the production personnel in the front line. Once the sudden failure of the mechanical and electrical equipment occurs, it will cause heavy losses and even casualties to the enterprise. In the face of these problems, more scientific technical means are urgently needed to improve the quality of the maintenance of electromechanical equipment. Therefore, this paper designs a wireless detection system for the maintenance of electromechanical equipment, and analyzes the design and implementation of each part of the function one by one. It mainly includes the wireless detection software for the maintenance of electromechanical equipment, the application of data acquisition Web. Handheld mobile terminal software and database table structure, build three MIMO wireless network base station, realize the wireless network full coverage of the ground department, process the analysis result of the equipment maintenance expert to the sample, and use it for training, The neural network model of equipment state detection is verified, and then the neural network is used to realize the state detection of electromechanical equipment. The system solves the problem of monitoring the quality of maintenance work and detecting the state of use of electromechanical equipment. The structure of the thesis is arranged according to the sequence of theory, hardware, software and debugging. In the whole research process, six aspects of work are mainly carried out: (1) the supervision of the maintenance of electromechanical equipment and the status quo of the inspection of the working state of the equipment are analyzed; (2) analyzing the theory involved in the wireless detection system for the maintenance of electromechanical equipment. According to the requirement of the inspection task, the radial basis function neural network (3) is adopted to design the whole structure of the system. Based on the functional requirements of hardware, the MIMO wireless network communication technology and RFID radio frequency identification technology are analyzed, and the corresponding hardware devices are selected. (4) analyzing the requirement of the system software, designing the whole structure of the software and the function of the main module, and analyzing the realization of the main classes of the software according to the class diagram; (5) Joint debugging of hardware and software system and simulation of detection algorithm. (6) summarize the research results of this subject and prospect the development of big data and cloud platform in this field. The innovation of this subject is to detect the event record uploaded by the handheld terminal in real time, to monitor the equipment maintenance progress by comparing the event time, and then to take the data uploaded by the mobile terminal as the input vector. Neural network technology is used to detect the working state of the equipment, which is used as a reference to adjust the arrangement of the equipment maintenance. Through the analysis of the experimental data and the feedback from the technicians of the experimental units, it can be understood that the system improves the quality and efficiency of the equipment maintenance work, and plays an active role in ensuring the safety of production in coal mines.
【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】：2015
【分類號(hào)】：TD607;TD407;TP274

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