Flexible production line product research and development and manufacturing cloud platform based on intelligent data collaboration

Third International Seminar on Artificial Intelligence, Networking, and Information Technology Pub Date : 2023-02-22 DOI:10.1117/12.2667215

Yanyin Xie, Rui Yang, Ruihan Hu, Lin Gan, Hualin Ke

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Abstract

This paper focuses on how to ensure the availability and effectiveness of massive cloud data for industrial robots in the flexible production line, address the technical challenge in building a massive data cloud platform for industrial robots, and resolve the engineering problem of cloud based industrial robot cloud service application. To achieve this purpose, research is conducted on industrial robot hybrid cloud platform architecture, network technology, industrial robot big data system, autonomous learning cloud data processing and other technologies, which provides support for cloud service applications. It is suggested to combine knowledge atlas, digital twins, deep neural network, migration learning and other artificial intelligence technologies, which is conducive to remote monitoring and fault diagnosis cloud service applications. This has been verified and promoted in the handling, polishing, stacking, welding, assembly and other robots in 3C, mold, household appliances, automobile, furniture, electronic equipment manufacturing and other industries.

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基于智能数据协同的柔性生产线产品研发与制造云平台

本文重点研究如何保证柔性生产线中工业机器人海量云数据的可用性和有效性，解决构建工业机器人海量数据云平台的技术难题，解决基于云的工业机器人云服务应用的工程问题。为此，对工业机器人混合云平台架构、网络技术、工业机器人大数据系统、自主学习云数据处理等技术进行研究，为云服务应用提供支撑。建议结合知识图谱、数字孪生、深度神经网络、迁移学习等人工智能技术，有利于远程监控和故障诊断云服务应用。这在3C、模具、家电、汽车、家具、电子设备制造等行业的搬运、抛光、堆垛、焊接、装配等机器人中得到了验证和推广。

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Third International Seminar on Artificial Intelligence, Networking, and Information Technology

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