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作 者:戴咏梅[1]
出 处:《计算机测量与控制》2018年第2期57-60,88,共5页Computer Measurement &Control
摘 要:传统通信终端信息智能监测系统在信息监测过程中,未考虑节点信息遗漏问题,导致监测精准率低;提出基于粒子滤波的物联网通信终端信息智能监测系统设计;依据物联网环境特征,将系统整体架构划分为终端感知单元、监控开关单元和客户端单元,对各单元组成硬件进行改进;采用粒子滤波算法,对协调器中节点信息进行PAN标识;智能扫描节点信息是否有遗漏,在扫描限制范围内对遗漏信标进行统计,获取信标相应协调器信息,并发出连接请求,对节点地址进行重新分配,在新地址上添加连接成功状态指令,优化开发软件监测功能,完成系统设计;实验结果表明,该系统对节点中的遗漏信息进行充分处理,实时显示波长稳定,显示结果清晰度好,有效提高了监测精准度。In the process of information monitoring, the information omission of the traditional communication terminal is not consid- ered, which leads to the low precision of the monitoring. The design of information intelligent monitoring system for the communication terminal of IOT based on particle filter is proposed. According to the environmental characteristics of Internet of things, the whole system structure is divided into terminal sensing unit, monitoring switch unit and client unit. The hardware of each component is improved. Particle filter algorithm is used to identify PAN information in coordinator. Intelligent scanning node information are missing, in the limited scan statistics on the missing beacon range, to obtain the corresponding coordinator beacon information, and sends a connection request for re alloca tion of node address, add connection success status in the new directive address, optimize the software monitoring function, complete system design. The experimental results show that the system can fully process missing information in the nodes, display real--time wavelength stability, and display the results clearly, and effectively improve the monitoring accuracy.
分 类 号:TP393.1[自动化与计算机技术—计算机应用技术]
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