【摘要】：隨著物聯(lián)網(wǎng)技術(shù)的日益發(fā)展與嵌入式設(shè)備在工程實(shí)踐中的深入廣泛的應(yīng)用,人們希望通過網(wǎng)絡(luò)方便快捷地獲取物聯(lián)網(wǎng)數(shù)據(jù)信息,并隨時(shí)對數(shù)據(jù)進(jìn)行觀察處理,以便做出相應(yīng)的決策。然而,傳統(tǒng)的物聯(lián)網(wǎng)設(shè)備和平臺的異構(gòu)性強(qiáng),導(dǎo)致了當(dāng)前的物聯(lián)網(wǎng)應(yīng)用依然存在資源碎片化、開發(fā)門檻高和擴(kuò)展性差等問題。同時(shí),由于物聯(lián)網(wǎng)數(shù)據(jù)信息量的高速增長,現(xiàn)有的物聯(lián)網(wǎng)應(yīng)用模型已很難滿足海量數(shù)據(jù)存儲與并發(fā)的需求。鑒于Web技術(shù)具有平臺無關(guān)性、易于開發(fā)、統(tǒng)一標(biāo)準(zhǔn)等優(yōu)勢,本文將Web技術(shù)結(jié)合到物聯(lián)網(wǎng)應(yīng)用開發(fā)中,設(shè)計(jì)了一種更加開放且能夠?qū)崿F(xiàn)海量傳感器數(shù)據(jù)存儲與并發(fā)的數(shù)據(jù)云平臺。本文結(jié)合REST、NodeJS和MongoDB等Web技術(shù),提出了數(shù)據(jù)云平臺的總體架構(gòu)設(shè)計(jì)方案�？傮w架構(gòu)分為客戶端和服務(wù)器端兩部分。客戶端包括用戶管理、傳感器管理、圖表展示、設(shè)置四部分功能模塊,使用者通過客戶端能夠方便地管理和查看相應(yīng)的傳感器設(shè)備。服務(wù)器端的主要工作包括以下幾個(gè)方面:利用NodeJS在高并發(fā)和I/O性能上的優(yōu)勢,設(shè)計(jì)了一種簡單高效的NodeJS多核架構(gòu),并基于該架構(gòu)實(shí)現(xiàn)了多核NodeJS服務(wù)器;利用MongoDB高可擴(kuò)展性及高可用性的特點(diǎn),設(shè)計(jì)并實(shí)現(xiàn)了 MongoDB數(shù)據(jù)集群及數(shù)據(jù)表模型,以應(yīng)對海量數(shù)據(jù)存儲的挑戰(zhàn);利用REST架構(gòu)的高靈活性與簡潔性的特點(diǎn),為各類客戶端和傳感器設(shè)備設(shè)計(jì)并實(shí)現(xiàn)了統(tǒng)一的數(shù)據(jù)接口訪問服務(wù)。最后,針對數(shù)據(jù)云平臺的設(shè)計(jì)目標(biāo),進(jìn)行了功能和性能兩方面的測試。結(jié)果表明了各個(gè)模塊滿足了系統(tǒng)的設(shè)計(jì)需求,證明了本文設(shè)計(jì)的物聯(lián)網(wǎng)數(shù)據(jù)云平臺具有一定的實(shí)用價(jià)值。
[Abstract]:With the development of Internet of things technology and the extensive application of embedded equipment in engineering practice, people hope to obtain the data information of the Internet of things conveniently and quickly through the network, and to observe and process the data at any time. In order to make the corresponding decision. However, the heterogeneity of traditional Internet of things devices and platforms leads to the problems of resource fragmentation, high development threshold and poor scalability in current Internet of things applications. At the same time, due to the rapid growth of the Internet of things data information, the existing Internet of things application model has been difficult to meet the massive data storage and concurrency requirements. In view of the advantages of Web technology such as platform independence, easy development, unified standard and so on, this paper combines Web technology into the application development of Internet of things, and designs a data cloud platform which is more open and can realize the storage and concurrency of massive sensor data. Combined with Web technology such as REST,NodeJS and MongoDB, this paper puts forward the overall architecture design scheme of data cloud platform. The overall architecture is divided into two parts: client and server. The client includes user management, sensor management, chart display, and set up four functional modules. The user can easily manage and view the corresponding sensor devices through the client. The main work of the server includes the following aspects: based on the advantages of NodeJS in high concurrency and I / O performance, a simple and efficient NodeJS multi-core architecture is designed, and a multi-core NodeJS server is implemented based on this architecture; Based on the characteristics of high scalability and high availability of MongoDB, MongoDB data cluster and data table model are designed and implemented to meet the challenge of massive data storage. Taking advantage of the high flexibility and simplicity of REST architecture, a unified data interface access service is designed and implemented for all kinds of clients and sensor devices. Finally, according to the design goal of the data cloud platform, the function and performance of the platform are tested. The results show that each module meets the design requirements of the system, and proves that the data cloud platform of the Internet of things designed in this paper has certain practical value.
【學(xué)位授予單位】：哈爾濱工程大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2016
【分類號】：TP391.44;TN929.5;TP393.09

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