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Green Intelligent Logistics Sorting System in Big Data Environment

Xinyue Gao,Lei Liu

Published 2020 in IOP Conference Series: Materials Science and Engineering

ABSTRACT

By referring to the current sorting process of logistics sorting equipment, combined with emerging technologies, green concepts and big data statistics, it is possible to predict the trend of future sorting systems and integrate existing technologies. First, investigate and research existing logistics warehousing. Next, the intelligence and automation of existing intelligent sorting are investigated. After investigating, on the basis of the above, this study analyzes the trend of the future sorting system and combines with the concept of green logistics. It optimized classification under principles of green warehousing conceptual to make the classification more efficient, more space-saving and more convenient; it uses the big data statistics technology to collect logistics information, provides information to the logistics company to re-plan the sorting point, and feedback to the electronic merchants to obtain the location of different kinds of online shopping products in each region, and make it possible to purchase goods in a targeted manner.

PUBLICATION RECORD

  • Publication year

    2020

  • Venue

    IOP Conference Series: Materials Science and Engineering

  • Publication date

    2020-01-07

  • Fields of study

    Physics, Computer Science, Engineering, Environmental Science

  • Identifiers
    DOI 10.1088/1757-899X/711/1/012040
  • External record

    Open on Semantic Scholar

  • Source metadata

    Semantic Scholar

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CLAIMS

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CONCEPTS

  • No concepts are published for this paper.

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