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Design Intelligent Manufacturing Teaching Experiments with Machine Learning

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Computer Science and Education. Computer Science and Technology (ICCSE 2023)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 2023))

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Abstract

One of the key industrial technologies used in large-scale integrated circuit board production in electronic information manufacturing industry is SMT (surface mount technology). The application of information technology represented by AR (augmented reality) and AI (artificial intelligence) has produced considerable economic benefits and social impact in the production and manufacturing of SMT, which is a typical intelligent manufacturing application scenario. The SMT experimental teaching platform designed and developed based on AR and AI technology can analyze and compare product quality detection results at the experimental level by applying various machine learning algorithms through the three-layer structure of equipment physical layer, information system layer and experimental layer, and trace product defects in the production process at the information system layer, so that students can understand the key technologies in intelligent manufacturing in practice. Cultivate innovation and scientific research ability. The teaching satisfaction rate of this set of experimental teaching platform has increased by 10% points compared with the traditional experimental teaching platform.

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Author information

Authors and Affiliations

  1. Fundamental Industry Training Center, Tsinghua University, Beijing, China

    Feng Zhu, Zhen Chen, Wu Zeng, Jun-jian Zhang & Shuang-shou Li

Authors
  1. Feng Zhu
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  2. Zhen Chen
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  3. Wu Zeng
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  4. Jun-jian Zhang
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  5. Shuang-shou Li
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Corresponding author

Correspondence to Feng Zhu .

Editor information

Editors and Affiliations

  1. Xiamen University, Xiamen, China

    Wenxing Hong

  2. Xiamen University Malaysia, Sepang, Malaysia

    Geetha Kanaparan

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© 2024 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Zhu, F., Chen, Z., Zeng, W., Zhang, Jj., Li, Ss. (2024). Design Intelligent Manufacturing Teaching Experiments with Machine Learning. In: Hong, W., Kanaparan, G. (eds) Computer Science and Education. Computer Science and Technology. ICCSE 2023. Communications in Computer and Information Science, vol 2023. Springer, Singapore. https://doi.org/10.1007/978-981-97-0730-0_21

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  • DOI: https://doi.org/10.1007/978-981-97-0730-0_21

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-97-0729-4

  • Online ISBN: 978-981-97-0730-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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