Temporal management of RFID data 论文

摘要

RFID technology can be used to significantly im-prove the efficiency of business processes by pro-viding the capability of automatic identification and data capture. This technology poses many new challenges on current data management sys-tems. RFID data are time-dependent, dynamically changing, in large volumes, and carry implicit se-mantics. RFID data management systems need to effectively support such large scale temporal data created by RFID applications. These sys-tems need to have an explicit temporal data model for RFID data to support tracking and monitor-ing queries. In addition, they need to have an automatic method to transform the primitive ob-servations from RFID readers into derived data used in RFID-enabled applications. In this pa-per, we present an integrated RFID data manage-ment system – Siemens RFID Middleware – based on an expressive temporal data model for RFID data. Our system enables semantic RFID data filtering and automatic data transformation based on declarative rules, provides powerful query sup-port of RFID object tracking and monitoring, and can be adapted to different RFID-enabled applica-tions.