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

Qiang Liu, Chao Chen, Shanben Chen

2022Journal of Manufacturing and Materials Processing19 citationsDOIOpen Access PDF

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.

Topics & Concepts

WeldingManufacturing engineeringKey (lock)Computer scienceProcess (computing)Intelligent agentAdvanced manufacturingRobot weldingComputer-integrated manufacturingIndustrial engineeringArtificial intelligenceEngineeringSystems engineeringMechanical engineeringComputer securityOperating systemDigital Transformation in IndustryWelding Techniques and Residual StressesManufacturing Process and Optimization
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