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Application and Development of Big Data in the Field of Construction Engineering

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Application of Intelligent Systems in Multi-modal Information Analytics (MMIA 2021)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1384))

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Abstract

In the social development and transformation, the progress of science and technology has played an important role in promoting. In the field of intelligent building research, with the comprehensive application of various technologies in it, the application range of intelligent buildings has also been expanded, and the application of intelligent buildings has begun to be applied. It develops and forms different application systems to provide people with various services in production and life, and also makes the building operation process more green and environmentally friendly, and fully meets the needs of sustainable development.

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Author information

Authors and Affiliations

  1. Chongqing College of Architecture and Technology, Chongqing, China

    Jia Liu, Mingfei Huang & Shanshan Li

  2. Department of Military Facility, Army Logistics University, Chongqing, China

    Jinfeng Chen

  3. China Construction Fifth Engineering Division Wall and Decoration Co., Ltd., Changsha, Hunan, China

    Zhengfei Wu

Authors
  1. Jia Liu
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  2. Mingfei Huang
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  3. Jinfeng Chen
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  4. Zhengfei Wu
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  5. Shanshan Li
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Editor information

Editors and Affiliations

  1. Decision and Information Sciences, Oakland University, Rochester, MI, USA

    Vijayan Sugumaran

  2. Shanghai University, Shanghai, China

    Zheng Xu

  3. Department of Informatics, University of Leicester, Leicester, UK

    Huiyu Zhou

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© 2021 The Author(s), under exclusive license to Springer Nature Switzerland AG

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Liu, J., Huang, M., Chen, J., Wu, Z., Li, S. (2021). Application and Development of Big Data in the Field of Construction Engineering. In: Sugumaran, V., Xu, Z., Zhou, H. (eds) Application of Intelligent Systems in Multi-modal Information Analytics. MMIA 2021. Advances in Intelligent Systems and Computing, vol 1384. Springer, Cham. https://doi.org/10.1007/978-3-030-74811-1_108

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