本文選題：Z-Wave　切入點(diǎn)：人員定位　出處：《遼寧工程技術(shù)大學(xué)》2017年碩士論文

【摘要】：為了更準(zhǔn)確的監(jiān)測(cè)煤礦井下人員位置信息,為煤礦災(zāi)后救援提供依據(jù),為煤礦管理提供保障。文章在分析了井下無線信號(hào)傳輸特點(diǎn)的基礎(chǔ)上,提出了一種基于Z-Wave技術(shù)的煤礦井下人員定位系統(tǒng),對(duì)井下人員位置信息進(jìn)行有效的監(jiān)控,減少事故發(fā)生時(shí)的傷亡率。系統(tǒng)采用新型無線通信Z-Wave技術(shù)設(shè)計(jì)網(wǎng)絡(luò)拓?fù)浣Y(jié)構(gòu),以網(wǎng)絡(luò)形式布置井下參考節(jié)點(diǎn)的位置。系統(tǒng)采用C sharp編程語(yǔ)言開發(fā)系統(tǒng)軟件,并利用ArcGIS軟件繪制煤礦井下自定義地圖,實(shí)現(xiàn)系統(tǒng)人員位置的顯示功能。文中利用矩形波導(dǎo)理論及射線追蹤法,對(duì)煤礦井下巷道無線信號(hào)的傳輸路徑進(jìn)行研究。根據(jù)無線信號(hào)在井下傳輸?shù)奶攸c(diǎn),設(shè)計(jì)采用RSSI加權(quán)質(zhì)心定位算法實(shí)現(xiàn)人員定位。由于傳統(tǒng)的RSSI定位算法中對(duì)路徑損耗的確定是根據(jù)專家經(jīng)驗(yàn)設(shè)定的,增加了系統(tǒng)中人為因素的干擾,使定位結(jié)果受專家經(jīng)驗(yàn)等因素影響較大。因此,文中提出一種實(shí)時(shí)更新路徑損耗系數(shù)的方法對(duì)RSSI算法進(jìn)行改進(jìn),并且將改進(jìn)RSSI算法與加權(quán)質(zhì)心定位算法相結(jié)合,提出RSSI加權(quán)質(zhì)心算法,在不增加系統(tǒng)成本的前提下,提高了定位準(zhǔn)確性。文中通過MATLAB實(shí)驗(yàn)仿真證明算法的精確性,同時(shí)利用實(shí)驗(yàn)室樓道模擬井下巷道進(jìn)行模擬實(shí)驗(yàn),結(jié)果表明所研究系統(tǒng)可以實(shí)現(xiàn)準(zhǔn)確的人員定位。
[Abstract]:In order to more accurately monitor the location information of coal mine personnel, provide the basis for coal mine disaster rescue, and provide guarantee for coal mine management.On the basis of analyzing the characteristics of underground wireless signal transmission, this paper puts forward a kind of positioning system for underground personnel based on Z-Wave technology, which can effectively monitor the location information of underground personnel and reduce the casualty rate when accidents occur.The new wireless communication Z-Wave technology is used to design the network topology and the position of underground reference nodes is arranged in the form of network.The system adopts C sharp programming language to develop the system software, and ArcGIS software is used to draw the self-defined map of the coal mine, which realizes the display function of the position of the personnel in the system.Based on the theory of rectangular waveguide and ray tracing, the transmission path of wireless signal in underground roadway is studied in this paper.According to the characteristics of wireless signal transmission in underground, the RSSI weighted centroid localization algorithm is used to realize human location.Because the traditional RSSI localization algorithm determines the path loss according to the expert experience, it increases the interference of human factors in the system, and makes the location result greatly affected by the expert experience and other factors.Therefore, this paper proposes a method to update the path loss coefficient in real time to improve the RSSI algorithm, and combines the improved RSSI algorithm with the weighted centroid location algorithm, and proposes the RSSI weighted centroid algorithm without increasing the cost of the system.The accuracy of positioning is improved.In this paper, the accuracy of the algorithm is proved by MATLAB experimental simulation, and the simulation experiment is carried out by using laboratory corridor to simulate underground roadway. The results show that the system can achieve accurate personnel positioning.
【學(xué)位授予單位】：遼寧工程技術(shù)大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：TD76

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