CAJ | 학술논문

为了实现从大量不可靠、冗余的RFID(radio frequency identification)流数据中提取有效信息，提高RFID系统中数据的质量，提出了一种基于有限状态机的 RFID 流数据过滤与清理方法。实验结果表明：该方法能够有效过滤系统外标签数据，清理系统内部冗余标签数据，筛选有效标签数据，并能够降低漏读、误读带来的风险。最后，利用地理信息系统的可视化技术，将过滤与清理结果展示在地图上。
위료실현종대량불가고、용여적RFID(radio frequency identification)류수거중제취유효신식，제고RFID계통중수거적질량，제출료일충기우유한상태궤적 RFID 류수거과려여청리방법。실험결과표명：해방법능구유효과려계통외표첨수거，청리계통내부용여표첨수거，사선유효표첨수거，병능구강저루독、오독대래적풍험。최후，이용지리신식계통적가시화기술，장과려여청리결과전시재지도상。
In order to extract useful information from a large number of redundant and unreliable RFID (radio frequency identification) streaming data and improve the data quality of the RFID system, a filtering and cleaning method based on finite state machine for RFID streaming data is proposed. According to the experiment, suppressing interference tag data, filtering redundant tag data and extracting effective tag data can be realized in this method with reduced risk of system omission and false positives. Finally, using GIS technologies the monitoring and tracking results are displayed on the world map.