Liu Weining

A traffic flow lattice model considering relative current influence and its numerical simulation

Based on Xues lattice model, an extended lattice model is proposed by considering the relative current information about next-nearest-neighbour sites ahead. The linear stability condition of the presented model is obtained by employing the linear stability theory. The density wave is investigated analytically with the perturbation method. The results show that the occurrence of traffic jamming transitions can be described by the kink–antikink solution of the modified Korteweg-de Vries (mKdV) equation. The simulation results are in good agreement with the analytical results, showing that the stability of traffic flow can be enhanced when the relative current of next-nearest-neighbour sites ahead is considered.

RFID-based production operation management for multi-varieties and small-batch production

The rapid changing market is making manufacturing systems increasingly trend to multi-varieties and small-batch production. It drives that strict production operation management in detail is done. In this paper RFID tags are introduced to overcome difficulty to identity important production elements in workshop. A tag data model of production element is proposed, and the architecture and integration operation mode of corresponding production operation management system are established. Then, an information fusion model of real-time heterogeneous production data from multi-sources and implementation methods of rapidly reconfigurable production operation management system based on component are presented. The application results in a motorcycle assembly line show the production efficiency and quality are obviously improved.

A data processing model for improving RFID application reliability in logistics tracking system

The characteristics of natural radio communications and the disturbances of application environment inevitably lead to the unreliable phenomena of duplicated readings, false positive reading and false negative reading when RFID is applied to logistics tracking system, and numerous unreliable data are generated. To solve this problem, a series of evaluation indexes for evaluating RFID application reliability were put forward, and a layered data processing model was established to improve RFID application reliability, including primitive event processing layer and complex event processing layer. The former receives primitive reading events from the reader-network, cleans redundant events, and thus tidy logic reading events are obtained. And the complex event processing layer detects and corrects false positive reading and false negative reading through setting up application integrity constraint. The results of application show that the model can guarantee the correctness and integrality of the data, and improve RFID application reliability.