無線傳感網(wǎng)絡(luò)在企業(yè)安全生產(chǎn)監(jiān)控系統(tǒng)中的應(yīng)用研究
[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.
【學位授予單位】:蘭州交通大學
【學位級別】:碩士
【學位授予年份】:2017
【分類號】:TP212.9;TN92;TP277
【參考文獻】
相關(guān)期刊論文 前10條
1 李增波;王龍康;彭斌;宋來臣;郭昊;;安全生產(chǎn)信息傳播體系構(gòu)建及其應(yīng)用效果評價[J];中國安全科學學報;2016年09期
2 曾貴偉;湯寶平;鄧蕾;肖鑫;;機械振動無線傳感器網(wǎng)絡(luò)節(jié)點高精度數(shù)據(jù)采集方法[J];振動與沖擊;2016年16期
3 劉沖;陳義;徐征;張志新;解永平;王天嬈;;面向鋼軌監(jiān)測的無線傳感器網(wǎng)絡(luò)網(wǎng)關(guān)設(shè)計與性能測試[J];傳感器與微系統(tǒng);2014年12期
4 田磊;;嵌入式Linux系統(tǒng)中基于QT庫的應(yīng)用程序設(shè)計[J];實驗室研究與探索;2014年05期
5 許東;操文元;孫茜;;基于CC2530的環(huán)境監(jiān)測無線傳感器網(wǎng)絡(luò)節(jié)點設(shè)計[J];計算機應(yīng)用;2013年S2期
6 張道斌;;企業(yè)安全生產(chǎn)預(yù)警預(yù)報機制建設(shè)研究[J];中國安全科學學報;2013年09期
7 侯茜;秦潔璇;李翠平;;安全生產(chǎn)預(yù)警綜合分析與研究[J];中國安全科學學報;2013年06期
8 焦尚彬;宋丹;張青;唐金偉;;基于ZigBee無線傳感器網(wǎng)絡(luò)的煤礦監(jiān)測系統(tǒng)[J];電子測量與儀器學報;2013年05期
9 錢志鴻;王義君;;面向物聯(lián)網(wǎng)的無線傳感器網(wǎng)絡(luò)綜述[J];電子與信息學報;2013年01期
10 王之磊;李臨生;;U-Boot在S3C2440上移植和設(shè)置[J];工業(yè)控制計算機;2012年02期
相關(guān)碩士學位論文 前5條
1 吳烈國;基于無線傳感器網(wǎng)絡(luò)的水環(huán)境監(jiān)測系統(tǒng)研究[D];中國科學技術(shù)大學;2014年
2 胡加強;基于無線傳感器網(wǎng)絡(luò)的化工裝備數(shù)據(jù)采集技術(shù)研究[D];武漢工程大學;2013年
3 張文靜;基于無線傳感器網(wǎng)絡(luò)的數(shù)據(jù)采集系統(tǒng)的設(shè)計與實現(xiàn)[D];東北大學;2012年
4 劉亞雄;基于數(shù)據(jù)融合的無線傳感器執(zhí)行器網(wǎng)絡(luò)數(shù)據(jù)可靠傳輸[D];上海交通大學;2012年
5 魏杰;面向工業(yè)應(yīng)用的無線傳感網(wǎng)絡(luò)系統(tǒng)實現(xiàn)[D];電子科技大學;2011年
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