【摘要】：我國(guó)經(jīng)濟(jì)高速發(fā)展,企業(yè)生產(chǎn)規(guī)模日益擴(kuò)大,生產(chǎn)自動(dòng)化程度不斷提高,其安全生產(chǎn)問(wèn)題也成為企業(yè)和社會(huì)關(guān)注的重點(diǎn)。傳統(tǒng)的人工監(jiān)控方式具有滯后性等缺點(diǎn),已不再適合現(xiàn)代企業(yè)發(fā)展的需求,而有線網(wǎng)絡(luò)監(jiān)控系統(tǒng)存在布線復(fù)雜、維修困難、擴(kuò)展性差以及監(jiān)控盲區(qū)等缺點(diǎn),也逐漸難以滿足企業(yè)發(fā)展的需求。無(wú)線傳感器網(wǎng)絡(luò)具有結(jié)構(gòu)靈活、可擴(kuò)展性好、自組織、多跳路由等特點(diǎn),適用于復(fù)雜環(huán)境工況,能夠較好的滿足企業(yè)安全生產(chǎn)過(guò)程中實(shí)時(shí)監(jiān)控的需求。論文將無(wú)線傳感器網(wǎng)絡(luò)應(yīng)用于企業(yè)安全生產(chǎn)監(jiān)控系統(tǒng)中,對(duì)無(wú)線傳感網(wǎng)絡(luò)的數(shù)據(jù)采集技術(shù)和接入外網(wǎng)方式進(jìn)行了研究,設(shè)計(jì)了基于無(wú)線傳感網(wǎng)絡(luò)的企業(yè)安全生產(chǎn)監(jiān)控系統(tǒng),其組成包括數(shù)據(jù)采集網(wǎng)絡(luò)、網(wǎng)關(guān)以及遠(yuǎn)程監(jiān)控計(jì)算機(jī)三部分。該系統(tǒng)解決了目前有線監(jiān)控網(wǎng)絡(luò)存在布線復(fù)雜、網(wǎng)絡(luò)維護(hù)困難等問(wèn)題,實(shí)現(xiàn)了企業(yè)生產(chǎn)過(guò)程中的環(huán)境參數(shù)的實(shí)時(shí)監(jiān)控。論文根據(jù)企業(yè)安全生產(chǎn)監(jiān)控系統(tǒng)的方案設(shè)計(jì),進(jìn)行了硬件設(shè)計(jì)和軟件開(kāi)發(fā)。硬件設(shè)計(jì)方面包括:ZigBee數(shù)據(jù)采集網(wǎng)絡(luò)節(jié)點(diǎn)的硬件設(shè)計(jì)、傳感器模塊的電路設(shè)計(jì),網(wǎng)關(guān)最小系統(tǒng)的實(shí)現(xiàn)以及網(wǎng)關(guān)外圍接口電路設(shè)計(jì)。數(shù)據(jù)采集網(wǎng)絡(luò)節(jié)點(diǎn)的硬件設(shè)計(jì)采用模塊化設(shè)計(jì)思想,減少設(shè)計(jì)的復(fù)雜度,減小無(wú)線電路的干擾。軟件開(kāi)發(fā)方面包括:ZigBee數(shù)據(jù)采集網(wǎng)絡(luò)的軟件設(shè)計(jì)、網(wǎng)關(guān)系統(tǒng)的軟件設(shè)計(jì)以及遠(yuǎn)程監(jiān)控計(jì)算機(jī)上位機(jī)軟件開(kāi)發(fā)。其中數(shù)據(jù)采集網(wǎng)絡(luò)軟件設(shè)計(jì)包括ZigBee協(xié)議h_的分析、終端節(jié)點(diǎn)、路由節(jié)點(diǎn)以及協(xié)調(diào)器節(jié)點(diǎn)的程序設(shè)計(jì);網(wǎng)關(guān)系統(tǒng)軟件設(shè)計(jì)包括Linux操作系統(tǒng)的移植和應(yīng)用軟件的開(kāi)發(fā);遠(yuǎn)程監(jiān)控計(jì)算機(jī)軟件開(kāi)發(fā)包括Qt的界面設(shè)計(jì)和基于TCP/IP協(xié)議的通信程序設(shè)計(jì)。通過(guò)對(duì)企業(yè)安全生產(chǎn)監(jiān)控系統(tǒng)的硬件設(shè)計(jì)和軟件開(kāi)發(fā),實(shí)現(xiàn)了安全生產(chǎn)監(jiān)控系統(tǒng)的自動(dòng)數(shù)據(jù)采集、數(shù)據(jù)遠(yuǎn)程傳輸和遠(yuǎn)程監(jiān)控計(jì)算機(jī)數(shù)據(jù)實(shí)時(shí)顯示功能。論文還對(duì)多傳感器數(shù)據(jù)融合方法進(jìn)行了研究,分析了數(shù)據(jù)融合對(duì)于無(wú)線傳感器網(wǎng)絡(luò)的重要意義,詳細(xì)闡述了基于自適應(yīng)加權(quán)數(shù)據(jù)融合算法和基于分批估計(jì)的自適應(yīng)加權(quán)數(shù)據(jù)融合算法實(shí)現(xiàn)過(guò)程。結(jié)合系統(tǒng)采集的溫度數(shù)據(jù),對(duì)兩種數(shù)據(jù)融合算法進(jìn)行了多傳感器融合分析,驗(yàn)證了經(jīng)過(guò)分批處理后的自適應(yīng)加權(quán)數(shù)據(jù)融合算法融合后的值更接近真值,并能有效的減少網(wǎng)絡(luò)通信量、延長(zhǎng)網(wǎng)絡(luò)壽命。
[Abstract]:With the rapid economic development of our country, the production scale of enterprises is expanding day by day, and the degree of production automation is constantly increasing. The safety of production has also become the focus of the enterprises and the society. The traditional manual monitoring method has some shortcomings such as lag and so on, and it is no longer suitable for the development of modern enterprises. However, the wired network monitoring system has some disadvantages such as complicated wiring, difficult maintenance, poor expansibility and monitoring blind area, and so on. It is also gradually difficult to meet the needs of the development of enterprises. Wireless sensor network has the characteristics of flexible structure, good expansibility, self-organization, multi-hop routing and so on. It is suitable for complex environmental conditions and can meet the needs of real-time monitoring in the safe production process of enterprises. In this paper, the wireless sensor network is applied to the enterprise safety production monitoring system. The data acquisition technology and the access mode of the wireless sensor network are studied, and the enterprise safety production monitoring system based on the wireless sensor network is designed. It consists of three parts: data acquisition network, gateway and remote monitoring computer. The system solves the problems of complex wiring and difficult network maintenance in the current wired monitoring network, and realizes the real-time monitoring of environmental parameters in the production process of enterprises. According to the scheme design of safety production monitoring system, hardware design and software development are carried out in this paper. The hardware design includes the hardware design of the ZigBee data acquisition network node, the circuit design of the sensor module, the implementation of the gateway minimum system and the design of the peripheral interface circuit of the gateway. The hardware design of the data acquisition network node adopts the modular design idea to reduce the complexity of the design and the interference of the wireless circuit. The software development includes the software design of ZigBee data acquisition network, the software design of gateway system and the software development of remote monitoring computer. The software design of data acquisition network includes the analysis of ZigBee protocol, the program design of terminal node, routing node and coordinator node, the software design of gateway system, including the transplantation of Linux operating system and the development of application software. The software development of remote monitoring computer includes interface design of Qt and communication program design based on TCP/IP protocol. Through the hardware design and software development of the safety production monitoring system, the functions of automatic data acquisition, long-distance data transmission and real-time display of the computer data of the safety production monitoring system are realized. This paper also studies the method of multi-sensor data fusion, and analyzes the significance of data fusion for wireless sensor networks. The realization process of adaptive weighted data fusion algorithm based on adaptive weighted data fusion algorithm and batch estimation based adaptive weighted data fusion algorithm is described in detail. Combined with the temperature data collected by the system, the multi-sensor fusion analysis of the two data fusion algorithms is carried out, which verifies that the fusion value of the adaptive weighted data fusion algorithm after batch processing is closer to the true value. And can reduce the network traffic effectively, prolong the network life.
【學(xué)位授予單位】：蘭州交通大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：TP212.9;TN92;TP277

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