Schematic Modeling Method for Real-time Tracking of Work-in-Progress Logistics Using RFID

Abstract

The invention provides a schema modeling method for real-time tracking of flow of articles being processed through radio frequency identification devices (RFID). RFID allocation of a process flow is achieved according to requirements through the schema modeling of conducting granularity decomposing and evolving to a process flow. Because a schema description unit of four kinds of state blocks abstracted by signal detection space of RFID signals is allocated on the process flow, schema expression of the process flow of the allocated RFID is achieved. Further, according to a state set of the articles being processed obtained by a state description unit, mapping relation between states and accidents is built and transformation from the state set to the accident set is achieved. Finally, an accident drive schema description unit module is built, a plurality of continuous schema description units are connected in series by the generated accident set and the schema description of tracing the articles being processed is achieved. The modeling method is capable of providing data support to realize transparency, visibility and automation of a productive process and real-time production decision.

Description

technical field [0001] The invention relates to a new schema modeling method for real-time manufacturing data collection and tracking of product logistics by using radio frequency identification technology (Radio Frequency Identification, RFID). Background technique [0002] The current fast and fierce market competition environment makes manufacturing enterprises must have the ability to quickly respond to market changes. Faced with this challenge, many upper management systems such as ERP (Enterprise Resource Planning, Enterprise Resource Planning), MES (Manufacturing Execution System, Manufacturing Execution System), MRP (Manufacturing Resource Planning, Manufacturing Resource Planning), etc. have been widely promoted and applied in the manufacturing field, aiming at It has achieved great success in improving the production flexibility and production efficiency of enterprises. However, despite the rapid development of these upper-level systems, because the real-time data...

AI Technical Summary

Problems solved by technology

This method can automatically complete the collection and analysis of real-time data in the process of product logistics in the manufacturing process according to the needs of the upper system, and effectively solve the problem of the upper management system and production due to the lack of real-time information from the production process in the current manufacturing workshop. The problem of disjointed underlying information, thus providing data support for the transparency, visualization, automation, and real-time production decision-making of the production process

Images