Abstract: A method of bulk encoding tags may include obtaining tag identification information from a tag associated with a product, scanning a product label to obtain product identification information of the product, associating product identification information and the tag identification information in a database, reading electronic product code (EPC) information associated with the tag to determine the tag identification information, confirming the association between the tag identification information and corresponding product identification information in the database, and overwriting the EPC information with a combination of the tag identification information and the product identification information.

Abstract: A system for routing data in an automatic identification system includes an event management system (EMS), a real-time in-memory data structure (RIED) coupled to the EMS, the RIED for storing event information gathered by the EMS and a task management system (TMS) for ensuring that the RIED is updated by one transaction at a time. With this particular arrangement, a system for managing a large number of real-time events is provided. In one embodiment, the control system can be provided in a distributed hierarchical arrangement. The EMS of each control system can include filters which limit the amount of information provided to the next level in the hierarchy. In this manner the hierarchical control system network acts as a high volume data collector and processor. In some embodiments a level of the hierarchy can be removed spatially and/or temporally from an adjacent level in the hierarchy. This approach results in an intelligent network and also lends itself to scalability.

Abstract: A system for routing data in an automatic identification system includes an event management system (EMS), a real-time in-memory data structure (RIED) coupled to the EMS, the RIED for storing event information gathered by the EMS and a task management system (TMS) for ensuring that the RIED is updated by one transaction at a time. With this particular arrangement, a system for managing a large number of real-time events is provided. In one embodiment, the control system can be provided in a distributed hierarchical arrangement. The EMS of each control system can include filters which limit the amount of information provided to the next level in the hierarchy. In this manner the hierarchical control system network acts as a high volume data collector and processor. In some embodiments a level of the hierarchy can be removed spatially and/or temporally from an adjacent level in the hierarchy. This approach results in an intelligent network and also lends itself to scalability.

Abstract: A control system for routing data in an automatic identification system includes an event management system (EMS), a real-time in-memory data structure (RIED) and a task management system (TMS). The control system can be provided in a distributed hierarchical arrangement. The EMS of each control system can include filters which limit the amount of information provided to the next level in the hierarchy. In this manner the hierarchical control system network acts as a high volume data collector and processor. In some embodiments a level of the hierarchy can be removed spatially and/or temporally from an adjacent level in the hierarchy.

Abstract: A system for routing data in an automatic identification system includes an event management system (EMS), a real-time in-memory data structure (RIED) coupled to the EMS, the RIED for storing event information gathered by the EMS and a task management system (TMS) for ensuring that the RIED is updated by one transaction at a time. With this particular arrangement, a system for managing a large number of real-time events is provided. In one embodiment, the control system can be provided in a distributed hierarchical arrangement. The EMS of each control system can include filters which limit the amount of information provided to the next level in the hierarchy. In this manner the hierarchical control system network acts as a high volume data collector and processor. In some embodiments a level of the hierarchy can be removed spatially and/or temporally from an adjacent level in the hierarchy. This approach results in an intelligent network and also lends itself to scalability.