Research And Development Of Quality Traceability System For Discrete Manufacturing Production Line Based On Internet Of Things

Abstract:With the development of Internet of Things technology, its application in the industrial field which is called industrial Internet of Things is considered to be a hotspot in future applications of Internet of Things. According to the present situation that the quality control level of discrete manufacturing industry especially many small and medium-sized discrete manufacturing enterprises are still relatively low, this paper develops quality traceability system for discrete manufacturing production line based on Internet of Things through industrial Internet of Things technology. The system connects the underlying process equipments as a whole through the sensor technology, the industrial wireless communication technology and automatic identification technology and etc., realizes real-time data acquisition of people, material, equipments, events and etc., real-time control of the product quality and ex post facto, thus meet the huge demand for automation of small and medium-sized discrete manufacturing enterprises in the industrial transformation and upgrading process and improve the level of quality control. The main work completed is as follows:1. Design6-tier architecture of Internet of Things system which is suitable for small and medium-sized manufacturing enterprise workshops. Among them, device access layer adds automatic identification, network communication and other functions to process equipments, thus simplifies the work of connecting all kinds of "information isolated island" to Internet of Things. Data transmission layer adopts industrial wireless Ethernet technology, establishes "equipment sends, server to confirm" mode two-way communications path between device access layer and data control layer. Communication protocol integrates the four levels of production element identification, multiple process parameters, count verification, process chain function control and data error check, thus data control layer can realize feedback control of process equipment layer.2. Using IDEF modeling technology, propose a distributed discrete manufacturing workshop production line configuration method which separates configuration data from execution code. This method realizes production line configuration by using a set of structured relational tables which can be rapidly configured according to the workshop production demand. The program reads configuration data which is preserved in the workshop database independently to initialize. On the basis of this configuration method and four levels of production element identification, propose a process chain control scheme which is based on process chain number and applied by equipments and moreover propose three kinds of process error models and two kinds of process error proofing control strategies.3. Using.NET platform and three-tier architecture to develop a system monitoring software which has five main function modules including product process configuration, production line real-time monitoring, process quality traceability, process real-time chain and product validation process. Moreover, the system realizes data sharing and the factory application layer integration of workshop configuration and production data through the application of SQL Server distributed database techniques.