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Design and Implementation of Rural Three-Level Logistics Distribution System Based on Cloud Computing

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The 2021 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy (SPIoT 2021)

Abstract

With the continuous development of cloud computing (CC) and the logistics industry, the construction of a logistics distribution system based on CC has become an important research topic for the development of the logistics industry. The construction of rural logistics distribution system is an important part of our country’s logistics development. In order to promote the development of e-commerce, it is necessary to establish and improve the rural three-level logistics distribution system. The purpose of this paper is to study the design and realization of the rural three-level logistics distribution system based on CC. Starting from CC technology, this article takes H County as an example, and investigates the development background of the county-township-village three-level logistics system in H County through questionnaire surveys and field visits, and introduces the development status and development status of the county’s logistics system. This paper clarifies that the logistics system is mainly composed of the three levels of “county-township-village” with matching distribution nodes and a standard public logistics information platform. The three-level logistics of “county-township-village” based on CC is constructed. Survey data shows that among 278 people, 56.12% think that delivery speed is very important, and 46.76% think that package integrity is very important. It can be seen that local residents have great opinions on the speed of distribution, so rural logistics and distribution need to increase their efforts to improve the speed of distribution.

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Wang, S. (2022). Design and Implementation of Rural Three-Level Logistics Distribution System Based on Cloud Computing. In: Macintyre, J., Zhao, J., Ma, X. (eds) The 2021 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy. SPIoT 2021. Lecture Notes on Data Engineering and Communications Technologies, vol 97. Springer, Cham. https://doi.org/10.1007/978-3-030-89508-2_123

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