基于無線傳感器網(wǎng)絡(luò)的礦井人員定位系統(tǒng)研究
本文選題:無線傳感器網(wǎng)絡(luò) 切入點:質(zhì)心定位算法 出處:《合肥工業(yè)大學(xué)》2017年碩士論文
【摘要】:井下安全監(jiān)控系統(tǒng)一方面可以保證井下物資調(diào)度的有序性,另一方面也對井下的安全生產(chǎn)起到了重要作用。井下定位系統(tǒng)作為井下安全監(jiān)控系統(tǒng)中不可或缺的一部分,能夠?qū)崿F(xiàn)對井下工作人員位置的實時定位和跟蹤。針對目前井下定位系統(tǒng)存在的定位精度差和通信可靠性低等問題,利用無線傳感器網(wǎng)絡(luò)技術(shù),建立無線傳感器網(wǎng)絡(luò),實時監(jiān)測井下工作環(huán)境,實現(xiàn)對井下緊急情況的預(yù)警并處理,對于井下人員安全保障有著重要的意義。本文主要研究內(nèi)容如下:(1)分析了井下定位系統(tǒng)結(jié)構(gòu)與特點,建立了基于無線傳感器的傳輸損耗參考模型,為井下定位算法的設(shè)計奠定基礎(chǔ)。(2)研究了基于無線傳感器網(wǎng)絡(luò)的井下定位算法。利用無線傳感器網(wǎng)絡(luò)實時感知的位置信息,設(shè)計了基于卡爾曼濾波的質(zhì)心定位算法,實現(xiàn)對井下工作人員實時定位與跟蹤,并進行了仿真驗證。(3)研究了提高系統(tǒng)通信可靠性的傳輸控制算法。針對井下定位系統(tǒng)中因數(shù)據(jù)量大而導(dǎo)致的通信可靠性低問題,設(shè)計了基于RBF神經(jīng)網(wǎng)絡(luò)的自適應(yīng)滑模路由控制算法,該算法能夠有效控制路由傳輸過程中緩沖區(qū)隊列長度,減少數(shù)據(jù)在路由傳輸過程中數(shù)據(jù)丟失,有效提高了通信過程中路由數(shù)據(jù)的可靠傳輸,并進行了仿真驗證。
[Abstract]:On the one hand, the downhole safety monitoring system can ensure the orderliness of the downhole material scheduling, on the other hand, it also plays an important role in the downhole safety production. The downhole positioning system is an indispensable part of the downhole safety monitoring system. Aiming at the problems of poor positioning accuracy and low communication reliability in the downhole positioning system, the wireless sensor network is established by using wireless sensor network technology. The real-time monitoring of underground working environment and the realization of early warning and handling of underground emergency situations are of great significance to the safety and security of downhole personnel. The main research contents of this paper are as follows: 1) the structure and characteristics of downhole positioning system are analyzed. The transmission loss reference model based on wireless sensor is established, which lays a foundation for the design of downhole location algorithm. The downhole location algorithm based on wireless sensor network is studied. The real-time sensing position information of wireless sensor network is used. The centroid location algorithm based on Kalman filter is designed, which can locate and track the underground workers in real time. The transmission control algorithm to improve the communication reliability of the system is studied. The problem of low communication reliability caused by the large amount of data in the downhole positioning system is studied. An adaptive sliding mode routing control algorithm based on RBF neural network is designed. The algorithm can effectively control the length of buffer queue and reduce data loss during routing transmission. The reliable transmission of routing data in communication process is improved effectively, and the simulation is carried out.
【學(xué)位授予單位】:合肥工業(yè)大學(xué)
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2017
【分類號】:TP212.9;TN929.5
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