本文選題：大數(shù)據(jù) + 云計(jì)算技術(shù)�。� 參考：《東北大學(xué)》2014年碩士論文

【摘要】：信號(hào)分析與處理廣泛地應(yīng)用于設(shè)備的動(dòng)態(tài)分析、狀態(tài)監(jiān)測(cè)、故障診斷、設(shè)備管理與維修中。隨著設(shè)備管理生產(chǎn)的現(xiàn)代化和自動(dòng)化程度的提高,在信號(hào)分析與處理過程中,所要分析和處理的數(shù)據(jù)量非常大。數(shù)據(jù)量的急劇增加不僅給計(jì)算機(jī)硬件帶來了存儲(chǔ)容量的壓力,還給數(shù)據(jù)管理、存儲(chǔ)性能帶來了挑戰(zhàn)。隨著計(jì)算機(jī)技術(shù)和互聯(lián)網(wǎng)技術(shù)的發(fā)展,在產(chǎn)生大數(shù)據(jù)的同時(shí),云計(jì)算技術(shù)的出現(xiàn)使得分析和處理大數(shù)據(jù)成為了可能。本文采用云計(jì)算技術(shù),結(jié)合信號(hào)分析處理的相關(guān)知識(shí),初步實(shí)現(xiàn)了大數(shù)據(jù)下信號(hào)分析處理的平臺(tái)建設(shè)；采用網(wǎng)絡(luò)通信技術(shù),實(shí)現(xiàn)了移動(dòng)終端客戶端和服務(wù)器端實(shí)時(shí)查看信號(hào)分析處理結(jié)果的功能。論文所做的主要工作如下：1.概述了云計(jì)算的理論、發(fā)展現(xiàn)狀、關(guān)鍵技術(shù)和典型的云計(jì)算平臺(tái)；介紹了信號(hào)分析處理的理論技術(shù)和發(fā)展現(xiàn)狀及其與云計(jì)算技術(shù)結(jié)合的優(yōu)勢(shì)；2.分析開源的云計(jì)算平臺(tái)Hadoop框架模型,搭建了云計(jì)算Hadoop集群服務(wù)器,為信號(hào)分析處理提供了平臺(tái)支持；3.采用Java編程語言設(shè)計(jì)了本地服務(wù)器的應(yīng)用模塊；在MapReduce編程模型下,對(duì)信號(hào)時(shí)域統(tǒng)計(jì)分析的算法進(jìn)行了程序設(shè)計(jì)和性能測(cè)試；4.在客戶端／服務(wù)器端采用JSP技術(shù)設(shè)計(jì)客戶端界面模塊,結(jié)合Web技術(shù)、網(wǎng)絡(luò)通信技術(shù)等,實(shí)現(xiàn)了系統(tǒng)由本地功能模塊的開發(fā)到互聯(lián)網(wǎng)移動(dòng)終端的發(fā)布；5.在客戶端／服務(wù)器端運(yùn)用了B/S結(jié)構(gòu),使用戶的移動(dòng)終端只要能夠接入互聯(lián)網(wǎng),并使用標(biāo)準(zhǔn)的瀏覽器和通訊協(xié)議與服務(wù)器進(jìn)行通訊,不需要自定協(xié)議和開發(fā)相應(yīng)的通訊模塊,就可以查看分析結(jié)果。本論文把云計(jì)算技術(shù)、網(wǎng)絡(luò)通信技術(shù)和信號(hào)分析處理技術(shù)相結(jié)合,實(shí)現(xiàn)了大數(shù)據(jù)下的基本信號(hào)分析處理功能,為實(shí)現(xiàn)信號(hào)分析處理的其他功能和大數(shù)據(jù)下其他行業(yè)的相關(guān)平臺(tái)技術(shù)提供了理論依據(jù)和實(shí)際應(yīng)用基礎(chǔ)。
[Abstract]:Signal analysis and processing are widely used in equipment dynamic analysis, condition monitoring, fault diagnosis, equipment management and maintenance. With the modernization and automation of equipment management and production, the amount of data to be analyzed and processed is very large in the process of signal analysis and processing. The rapid increase of data not only puts pressure on the storage capacity of computer hardware, but also brings challenges to data management and storage performance. With the development of computer technology and Internet technology, the emergence of cloud computing technology makes it possible to analyze and deal with big data. This paper uses cloud computing technology, combined with the relevant knowledge of signal analysis and processing, preliminarily realizes the platform construction of signal analysis and processing under big data, adopts network communication technology, The mobile terminal client and server can view the signal analysis and processing results in real time. The main work of this paper is as follows: 1. This paper summarizes the theory, development status, key technologies and typical cloud computing platform of cloud computing, and introduces the theoretical technology and development status of signal analysis and processing and the advantages of combining with cloud computing technology. This paper analyzes the open source cloud computing platform Hadoop framework model, builds cloud computing Hadoop cluster server, and provides platform support for signal analysis and processing. The application module of the local server is designed with Java programming language, and the algorithm of time domain statistical analysis is programmed and the performance test is carried out under the MapReduce programming model. The client interface module is designed by using JSP technology in the client / server terminal. Combining with the Web technology and the network communication technology, the system is developed from the local function module to the release of the Internet mobile terminal. The B / S structure is used in the client / server, so that the user's mobile terminal can connect to the Internet and communicate with the server using standard browser and communication protocol, without the need of custom protocol and the development of corresponding communication module. You can see the results of the analysis. This paper combines cloud computing technology, network communication technology and signal analysis and processing technology to realize the basic signal analysis and processing function under big data. It provides theoretical basis and practical application basis for realizing other functions of signal analysis and processing and related platform technology of other industries under big data.
【學(xué)位授予單位】：東北大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類號(hào)】：TN911.7

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本文編號(hào)：1832330