摘要
为加强医疗设备管理效果,设计了基于修正粒子群优化算法的医疗设备物联网辅助定位系统,提升了辅助定位效果,利用射频识别智能阅读器感知标签内记录的医疗设备信息,通过ZigBee网络传输感知的医疗设备信息与阅读器坐标信息至网络传输层;应用层中医疗设备辅助定位模块计算医疗设备坐标;通过卡尔曼修正机制和修正粒子群算法优化医疗设备坐标得到最佳的医疗设备辅助定位坐标。实验结果表明,该系统可有效感知医疗设备信息,实现医疗设备辅助定位,且辅助定位精度较高;在种群数量为40时,该系统的辅助定位时间较短,辅助定位时需要的功耗较低。
In order to strengthen the management effect of medical equipment,an Internet of Things auxiliary positioning system for medical equipment based on modified particle swarm optimization algorithm is designed to improve the auxiliary positioning effect.Utilizing an RFID intelligent reader to perceive the medical device information recorded in the tag,and transmitting the perceived medical device information and reader coordinate information to the network transmission layer through the ZigBee network.The medical equipment auxiliary positioning module in the application layer calculates the coordinates of medical equipment.Optimize the coordinates of medical equipment through Kalman correction mechanism and modified particle swarm optimization algorithm to obtain the optimal auxiliary positioning coordinates of medical equipment.The experiment proves that the system can effectively perceive medical device information,achieve auxiliary positioning of medical devices,and the auxiliary positioning accuracy is high.When the population is 40,the auxiliary positioning time of the system is shorter,and the power consumption required for auxiliary positioning is smaller.
作者
王旭
Wang Xu(Beijing Daxing District People’s Hospital,Beijing 102600,China)
出处
《单片机与嵌入式系统应用》
2023年第9期53-56,共4页
Microcontrollers & Embedded Systems
关键词
修正粒子群
优化算法
物联网
辅助定位系统
射频识别
modified particle swarm
optimization algorithm
Internet of Things
auxiliary positioning system
RFID
