Modeling Distributed Communication for Smart Factory

Le résumé fourni par la source

In recent years, the deep integration of a new generation of information technology and manufacturing technology as an intelligent manufacturing model. It triggers a new round of manufacturing transformation. As an important carrier to realize intelligent manufacturing, smart factory realizes the intelligence of the production process by building intelligent production systems and networked distribution production facilities. It further improves production efficiency. However, the traditional communication system based on C/S architecture cannot realize the real-time transmission of data generated by much industrial equipment and sensor devices in the smart factory. This situation further leads to increased time delay and reduced data transmission efficiency for various types of data such as device status data, sensing data, audio, and video data, etc. The system is unable to monitor and manage each device in real-time. This paper proposes a distributed communication model for smart factories. According to the actual production requirements, we design the general architecture of the distributed communication model for smart factories. A message agent is used to implement the publish/subscribe mechanism of the distributed communication model, which has the advantages of low power consumption, security, reliability, and scalability. Meanwhile, a dynamic awareness scheduling algorithm based on WFQ (DAWFQ) is proposed. According to the length of the queue backlog, the algorithm dynamically adjusts the weights of real-time data streams and non-real-time data streams. It enables the model to send real-time data in priority and meet the demand for reliable transmission of real-time data. The experimental results show that the model designed in this paper can complete the distributed communication of the smart factory network. It shows good performance in terms of both real-time and reliability. The model ensures the real-time and reliable demand of smart factory devices under the constrained network resources and improves the quality of service of the whole communication network.

Ce résumé expose les affirmations des auteurs. BNTIC ne l’interprète pas comme une validation indépendante des résultats.