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Current Status and Prospects of Energy Saving Evaluation of Lifting Machinery

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Cyber Security Intelligence and Analytics (CSIA 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1147))

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Abstract

Lifting machinery is an indispensable key equipment in the production of metallurgy, shipbuilding, electric power, transportation, petrochemical and other industries. Reasonable evaluation of its energy consumption status is of great significance for guiding energy-saving production of lifting machinery. Based on the analysis of domestic crane application status, this paper summarizes and comments on crane energy-saving evaluation technology and puts forward the prospect.

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Acknowledgements

This work was financially supported by the National Key Research and Development Program of China (2017YFF0209804), and the Program of Science Foundation of General Administration of Quality Supervision and Inspection of Jiangsu Province (KJ175940).

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Authors and Affiliations

  1. Special Equipment Safety Supervision Inspection Institute of Jiangsu Province, Nanjing, China

    Fei Shuai, Yifan Shao & Xiangdong Li

  2. School of Mechanical Engineering, Nanjing University of Science and Technology, Nanjing, China

    Yifan Shao, Zhihao Ge & Yifei Tong

Authors
  1. Fei Shuai
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  2. Yifan Shao
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  3. Zhihao Ge
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  4. Yifei Tong
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  5. Xiangdong Li
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Corresponding author

Correspondence to Xiangdong Li .

Editor information

Editors and Affiliations

  1. Shanghai University, Shanghai, China

    Zheng Xu

  2. Department of Software Engineering and Game Development, Kennesaw State University, Marietta, GA, USA

    Reza M. Parizi

  3. Manchester Metropolitan University, Stockport, UK

    Mohammad Hammoudeh

  4. School of Engineering and Sciences, Tecnologico de Monterrey, Puebla, Mexico

    Octavio Loyola-González

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Shuai, F., Shao, Y., Ge, Z., Tong, Y., Li, X. (2020). Current Status and Prospects of Energy Saving Evaluation of Lifting Machinery. In: Xu, Z., Parizi, R., Hammoudeh, M., Loyola-González, O. (eds) Cyber Security Intelligence and Analytics. CSIA 2020. Advances in Intelligent Systems and Computing, vol 1147. Springer, Cham. https://doi.org/10.1007/978-3-030-43309-3_12

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