毕业论文

打赏
当前位置: 毕业论文 > 电子通信 >

RSSI智能无线传感网络的井下人员快速定位研究

时间:2022-01-10 22:19来源:毕业论文
基于RSSI的测距算法,构建基于RSSI的数学的模型,通过相应的实际数据收集对相关的测距经验公式将进行推导,然后通过极大似然估计方法得到待求节点的实际坐标

摘要煤炭是我国的重要一次能源,占据了我国一次能源的消费70%以上。这几年来,煤矿安全的事故时常发生,造成人们生命和财产损失重大,因此,加快和加强煤矿的自动化、信息化系统的建设是必然的趋势。由于煤矿井下环境复杂和恶劣,而现有井下监控系统难以实时的准确提供井下人员动态的分布和作业情况现状,深入分析了研究无线传感网络的特点和其国内外应用研究的现状,综合井下作业需求,设计了一个基于无线传感网络的人员定位系统。该定位系统使得井上监控中心可以掌握井下人员位置和工作状态等信息,为提高井下作业人员科学管理和生产安全提供了保障,不仅具有学术价值的研究,也有重要的经济价值和深远社会意义。76907

深入了解比较wife、蓝牙、ZigBee等无线传感网络技术的其应用及它们特点。研究了无线传感器网络和它通信的基本架构,应用ZigBee无线传感网络技术对井下人员的定位系统进行设计开发,并结合相应的实时网络检测手段,提高井下的管理水平和安全生产。

研究基于RSSI的测距算法,构建基于RSSI的数学的模型,通过相应的实际数据收集对相关的测距经验公式将进行推导,然后通过极大似然估计方法得到待求节点的实际坐标。深入分析定位算法计算过程中环境非法因素的干扰以及最小二乘法所带来的误差,这些都是不适定问题出现的原因,最终使得定位结果会有较大的波动。

对质心定位算法进行研究分析,针对现有算法的缺点,提出了改进的加权质心定位算法,求解未知节点坐标。实验结果表明,改进的算法提高了定位结果的准确性。

毕业论文关键词:井下人员定位  无线传网络  加权质心算法  RSSI 

Based on intelligent wireless sensor network of underground personnel positioning study quickly

Abstract As the important primary energy,coal accounts for more than 70 percent of the primary energy consumption in China。 In recent years,coal mine safety accidents often occur,which caused heavy losses of life and property。Therefore,accelerating and strengthening the construction of coal mine automation and information system become an inevitable trend。 Because the coal mine environment is harsh and complicated, and most of the existing monitoring  systems are difficult to provide real-time and accurate information of dynamic  distribution  and operating  conditions  of  the  underground personnel, deeply study and analyze the characteristics of wireless sensor networks and its current situation of domestic and international application research。 Combing with the underground operation demand, the paper designed a personnel positioning system based on wireless sensor networks which makes it possible for the monitoring center to master the information of the underground personnel position and working status and so on, and provide a guarantee for the improving of the scientific management and safety of underground workers。 The study not only has academic value, but also has an important economic value and far-reaching social significance。

Analyze and compare the characteristics and applications of wireless sensor networks technology, including the WIFI, Bluetooth, and Zigbee, etc。 Study the basic structure of the wireless sensor networks and communication。 Design an underground personnel positioning system based on the ZigBee technology。 Thereby, add a method for the real-time  online  monitoring  of  the  underground  operating  information,  and  the management level and producing safety have been improved。

Study the ranging algorithm based on received signal strength indication (RSSI)。Then establish the mathematical ranging model based on RSSI。 Collect the data in the experiment simulated filed and obtained the ranging empirical formulas through a polynomial fitting, then use the multilateral measurement maximum likelihood estimation method to solve the unknown node coordinates。  RSSI智能无线传感网络的井下人员快速定位研究:http://www.youerw.com/tongxin/lunwen_88294.html

------分隔线----------------------------
推荐内容