科技通报
科技通報
과기통보
BULLETIN OF SCIENCE AND TECHNOLOGY
2015年
8期
30-32
,共3页
标签%RFID%计量器具%读取算法
標籤%RFID%計量器具%讀取算法
표첨%RFID%계량기구%독취산법
tag%RFID%measuring instruments%reading algorithm
通过设计计量器具物资标签批量读取算法,提高对大型物流物资的收发和计量效率.传统算法采用中间件技术实现对计量器具物资标签批量读取,当标签容错编码不稳定时,标签的批量读取效率不高.提出一种基于RFID的计量器具物资标签批量读取算法.首先对标签批量读取数据的层次化融合,然后在加量器具终端实现对数据的整合,在标签批量读取过程中,采用超高频射频识别技术(UHF RFID),得到标签数据的搜索深度,保留第一个被输出的标签数据,过滤后的RFID数据保持原来的采集顺序,提高标签批量读取性能,仿真实验表明,采用该算法能有效提高对计量器具物资标签的批量读取效率,降低执行时间,稳定性能较好,吞吐性能优越,在大型物流物资收发和存储等领域具有较好的应用价值.
通過設計計量器具物資標籤批量讀取算法,提高對大型物流物資的收髮和計量效率.傳統算法採用中間件技術實現對計量器具物資標籤批量讀取,噹標籤容錯編碼不穩定時,標籤的批量讀取效率不高.提齣一種基于RFID的計量器具物資標籤批量讀取算法.首先對標籤批量讀取數據的層次化融閤,然後在加量器具終耑實現對數據的整閤,在標籤批量讀取過程中,採用超高頻射頻識彆技術(UHF RFID),得到標籤數據的搜索深度,保留第一箇被輸齣的標籤數據,過濾後的RFID數據保持原來的採集順序,提高標籤批量讀取性能,倣真實驗錶明,採用該算法能有效提高對計量器具物資標籤的批量讀取效率,降低執行時間,穩定性能較好,吞吐性能優越,在大型物流物資收髮和存儲等領域具有較好的應用價值.
통과설계계량기구물자표첨비량독취산법,제고대대형물류물자적수발화계량효솔.전통산법채용중간건기술실현대계량기구물자표첨비량독취,당표첨용착편마불은정시,표첨적비량독취효솔불고.제출일충기우RFID적계량기구물자표첨비량독취산법.수선대표첨비량독취수거적층차화융합,연후재가량기구종단실현대수거적정합,재표첨비량독취과정중,채용초고빈사빈식별기술(UHF RFID),득도표첨수거적수색심도,보류제일개피수출적표첨수거,과려후적RFID수거보지원래적채집순서,제고표첨비량독취성능,방진실험표명,채용해산법능유효제고대계량기구물자표첨적비량독취효솔,강저집행시간,은정성능교호,탄토성능우월,재대형물류물자수발화존저등영역구유교호적응용개치.
Through the design of measuring instrument material labels mass reading algorithm, improve the efficiency of re-ceiving and measurement of large logistics supplies. The traditional algorithm by using middleware technology to realize the material measurement instruments tags batch read, when fault tolerant coding label unstable, label batch reading efficiency is not high. Put forward a kind of mass reading algorithm RFID measuring instruments based on the material label. The first batch of label reading level data fusion, and then in the implementation of data integration in the added amount of the appli-ance terminal in the label batch reading process, using ultra high frequency radio frequency identification technology (UHF RFID), get the search depth tag data, retain the first is output tag data, RFID data is filtered to maintain the original the ac-quisition order, improve the mass reading performance labels, simulation results show that the algorithm can effectively im-prove the batch of materials measurement instruments label reading efficiency, reduce execution time, good stability, throughput performance is superior, and it has good application value in large logistics material handling and storage areas.