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In order to study the influences on model relative error made by the change of grey GM(1,1,α) model background value we analyzed the modeling mechanism and process and put forward the level 2 parameters pack of the model. We focused on the relationship among the change of the background value, the model development coefficient and the grey action by the model's level 2 parameters pack. In theory we concluded the concrete expression among the background value, the development coefficients and the grey action. Then we get the concrete expression between the background value and the relative error and study their relationship on changes. Thus it achieved the result that we can reduce the model relative error through adjust the value of the background. Finally, this conclusion was verified through an example. [ABSTRACT FROM AUTHOR]

Aiming at the failure to access to transit information problem that affects the accuracy of the data and limits the processing speed of transport business and the scope of use in logistics management in transit, a logistics management system in transit based on RFID technology was designed. The system which adopted RFID technology to integrate cloud storage technology and GPRS technology made contactless automatic identification to the long-range and high-speed mobile goal. It also could track transit product "existence" which could provide a more complete process data record, and make the head of the household keep track of products in transit state. The application practice showed that the system could effectively solve the problems of small and medium-sized logistics enterprises and had the characteristics of low cost and easy operation. [ABSTRACT FROM AUTHOR]