Key Technology of Intelligentized Welding Manufacturing and Systems Based on the Internet of Things and Multi-Agent

Author:

Liu QiangORCID,Chen Chao,Chen Shanben

Abstract

With the development of the Internet of Things (IoT), Big Data, Artificial Intelligence technology, and the emergence of modern information technologies such as intelligent manufacturing, welding systems are changing, and intelligentized welding manufacturing and systems (IWMS) utilizing these technologies are attracting attention from both academia and industry. This paper investigates sensing technology, multi-information sensor fusion technology, feature recognition technology, the quality prediction method, control method, and intelligent welding production line application in the IWMS. Combining IoT technology and multi-agent systems, a hierarchical structure model welding manufacturing system (IoT-MAS) in the form of “leader-following” was constructed. The multi-agent welding manufacturing system has the advantages of distribution, intelligence, internal coordination and so on. The IoT-MAS consists of several sub-agents, which are divided into five categories according to their functions and internal processing logic. Combined with the functions of the intelligent welding manufacturing system, the agent structure of the whole welding process was proposed, and the matching communication technology and algorithm were designed. The intelligent welding manufacturing system based on IoT-MAS proposed in this paper can effectively solve the integrated design problem of large welding manufacturing systems.

Funder

National Natural Science Foundation of China

Publisher

MDPI AG

Subject

Industrial and Manufacturing Engineering,Mechanical Engineering,Mechanics of Materials

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Advances in welding sensing information processing and modelling technology: an overview;Journal of Adhesion Science and Technology;2024-08-06

2. Introductory Chapter: Welding in the Era of Industry 5.0;Welding - Materials, Fabrication Processes, and Industry 5.0;2024-01-31

3. A Comprehensive Review on Big Data for Industries: Challenges and Opportunities;IEEE Access;2023

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