Research On Warehousing Technology For RFID Data Sets

Radio Frequency Identification (RFID) applications are set to play an essential role in object tracking and logistic management systems. In the near future, It is expected that every major retailer will use RFID systems to track the movement of products from suppliers to warehouses, store backrooms and eventually to points of sale. The volume of information generated by such systems can be enormous as each individual item (a pallet, a case, or an SKU) will leave a trail of data as it moves through different locations. As a departure from the traditional data cube, we propose a new warehousing model that preserves object transitions while providing significant compression and path-dependent aggregates, based on the following observations:(1) Items usually move together in large groups through early stages in the system (e.g., distribution centers) and only in later stages (e.g., stores) do they move in smaller groups.(2) Although RFID data is registered at the primitive level.(3) Explored to minimize data storage and data indexing technology, and in this framework on ways to deal with queries and verified.(4) Methods for processing a variety of queries based on this framework are developed in this study. Our experiments demonstrate the utility and feasibility of our design, data structure, and algorithms.A new warehousing model can significantly improve the information, the efficiency of data analysis.