Description: 基于MATLAB\SIMULINK的RFID系统仿真模型，能实现RFID的基本功能，帮助工程技术人员实验室仿真。-MATLABSIMULINK of RFID-based system simulation model, able to realize the basic functions of RFID to help engineers and technicians laboratory simulation. Platform: |
Size: 196608 |
Author:liucaiguo |
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Description: 多个应答器的碰撞问题是影响超高频射频识别(RFID)系统读取效率的一个关键问题。从EPC Class1 Generation2 (C1G2)RFID系统帧长受约束特点出发， 分析了帧时隙ALOHA防碰撞机制及其经典应答器估计方法的特点。提出了应答器间隔估计方法(IEM)以及基于该方法的EPC C1G2 RFID防碰撞算法，并给出了仿真结果。与现有基于经典应答器估计方法的射频识别系统防碰撞算法相比较，提出的防碰撞算法减少了识别时间， 提高了系统的识别效率。-Multiple transponder collision issue is the ultra high frequency radio frequency identification (RFID) system, read the efficiency of a key issue. From the EPC Class1 Generation2 (C1G2) RFID system frame length bound characteristics of the analysis of frame-ALOHA anti-collision mechanism and the classic estimation methods transponder characteristics. Proposed transponder interval estimation method (IEM), and based on the method of EPC C1G2 RFID anti-collision algorithm and gives the simulation results. With the existing estimation methods based on classical transponder radio frequency identification system compared to anti-collision algorithm is proposed anti-collision algorithm to reduce the recognition time and increase the efficiency of the system identification. Platform: |
Size: 267264 |
Author:吴晓彦 |
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Description: 在分析射频识别"Wc+/#基本原理和特点基础上!重点讨论了基于Wc+/ 的Y.WF/b.W-室内定位系统!然后在此基础上提出了一种最近邻居改进算法和基于误差多级处理的数据融合定位方法$仿真结果表明!改进后的最近邻居算法比已有的最近邻居算法的定位精度更好-In the analysis of radio frequency identification "Wc+ /# based on the basic principles and features! focused on Wc+ / s Y.WF/bW- indoor positioning system! then puts forward an improved algorithm and the nearest neighbor multi-level error Positioning method of data fusion processing simulation results show that the $! improved nearest neighbor method nearest neighbor algorithm than the existing positioning accuracy of better Platform: |
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Author:蔡新林 |
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Description: 基于s5pc100-A8板的智能仓储物联系统,1. M0作为前端信息采集器，通过温湿度、光感等模块实时采集节点所在仓库的环境数据，通过RFID射频刷卡模拟货物出入库，将采集到的数据和货物存储信息通过ZIGBEE无线传输给A8主控板进行数据分析。
2. A8是整个系统的逻辑处理核心，采用多线程架构，线程间使用全局变量、互斥锁、条件变量实现线程同步、互斥、唤醒等动作；分析M0发送来的数据，唤醒相应线程进行短信报警、摄像头抓拍、蜂鸣器、LED灯光报警、出入库等动作，并将数据存入数据库中；
3. A8架设了BOA服务器，可以通过网页和CGI程序与A8主程序进行数据交互，实现仓库数据信息网页显示，网页端可经A8向M0发送指令实现远程控制M0动作；通过网页客户端可以控制摄像头实时监控或拍照存档。-Based s5pc100-A8 board intelligent storage system of Things, 1. M0 information collector as a front end, by the temperature and humidity, light and other real-time acquisition module node where the data warehouse environment, RFID radio frequency card through simulation goods out of storage, will be collected data and information via cargo storage ZIGBEE wireless transmission to the A8 MPU data analysis.
2. A8 is the logical processing core of the system, multi-threaded architecture, the threads using a global variable, mutex, condition variables to achieve thread synchronization, mutual exclusion, wake-up action M0 transmitted data analysis, Wake corresponding thread SMS alarm, camera capture, buzzer, LED light alarm, out of storage and other actions, and the data stored in the
3. A8 BOA set up a server, you can exchange data through Web pages and CGI programs and A8 main achieve page displays data warehouse, web end the A8 to send commands M0 M0 remote control operation it can Platform: |
Size: 3402752 |
Author:zhb |
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