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Design and Operation Control of an Indoor Storage Crane

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Advanced Computational Intelligence and Intelligent Informatics (IWACIII 2023)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1932))

Abstract

In the rapidly evolving landscape of courier shops and industries, the efficient dispatch, storage, control, and optimization of goods play a pivotal role in addressing the escalating demands for increased throughput. Currently, manual labor predominantly manages the relocation of goods within courier shops, with limited utilization of storage cranes and advanced control systems. To effectively tackle the multifaceted challenges associated with storage and to optimize overall operational efficiency. This paper introduces the design of an innovative storage crane that is customized for the transportation, distribution, control, and optimization of small-sized goods within courier shops. A rigorous fatigue analysis using the ANSYS system validates its capability to withstand repeated cyclic loading and dynamic system demands under precise control. The results unequivocally demonstrate that the crane's acceleration gradient and saturation limit meet stringent criteria, ensuring robust and dependable movement within an optimized framework. This groundbreaking storage crane design, coupled with an advanced control system, presents a promising solution to elevate goods handling efficiency in courier shops. It effectively reduces dependence on manual labor, optimizes operations, and adeptly meets the burgeoning industry demands for control and efficiency.

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Authors and Affiliations

  1. School of Automation, Bei**g Institute of Technology, Bei**g, 100081, China

    Rahman Mizanur, Yiming Duan, Malak Abid Ali Khan, Zia Ur Rehman & Hongbin Ma

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  1. Rahman Mizanur
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  2. Yiming Duan
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  3. Malak Abid Ali Khan
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  4. Zia Ur Rehman
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  5. Hongbin Ma
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Corresponding author

Correspondence to Hongbin Ma .

Editor information

Editors and Affiliations

  1. Bei**g Institute of Technology, Bei**g, China

    Bin **n

  2. Tokyo Metropolitan University, Tokyo, Japan

    Naoyuki Kubota

  3. Ningbo University, Ningbo, China

    Kewei Chen

  4. Ningbo University, Ningbo, China

    Fangyan Dong

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

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Mizanur, R., Duan, Y., Khan, M.A.A., Rehman, Z.U., Ma, H. (2024). Design and Operation Control of an Indoor Storage Crane. In: **n, B., Kubota, N., Chen, K., Dong, F. (eds) Advanced Computational Intelligence and Intelligent Informatics. IWACIII 2023. Communications in Computer and Information Science, vol 1932. Springer, Singapore. https://doi.org/10.1007/978-981-99-7593-8_18

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  • DOI: https://doi.org/10.1007/978-981-99-7593-8_18

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-99-7592-1

  • Online ISBN: 978-981-99-7593-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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