Logistics big data analysis platform architecture and key technology research

Zhaozhao Cheng; Xiaojian Peng

doi:10.1117/12.2653085

10 November 2022 Logistics big data analysis platform architecture and key technology research

Zhaozhao Cheng, Xiaojian Peng

Proceedings Volume 12331, International Conference on Mechanisms and Robotics (ICMAR 2022); 1233157 (2022) https://doi.org/10.1117/12.2653085
Event: International Conference on Mechanisms and Robotics (ICMAR 2022), 2022, Zhuhai, China

Abstract

The rise of online e-commerce has promoted the development of the logistics industry. At the same time, the rapid increase of data information in the logistics system requires the use of big data technology to establish a professional logistics analysis system, so as to promote the processing speed and ability of logistics data. This paper mainly analyzes the actual processing system and speed of logistics big data analysis platform. With the support of big data technology, the logistics industry continues to transform into a systematic and intelligent logistics development model. At the same time, the construction of big data analysis platform can not only help the logistics industry to carry out statistical analysis of data, but also promote the improvement of decision-making power of the industry. The in-depth application of big data analysis platform in the logistics industry can further reduce operating costs, improve the efficiency of industry development, and improve the efficiency and digitalization of data processing in the logistics industry.

Citation Download Citation

Zhaozhao Cheng and Xiaojian Peng "Logistics big data analysis platform architecture and key technology research", Proc. SPIE 12331, International Conference on Mechanisms and Robotics (ICMAR 2022), 1233157 (10 November 2022); https://doi.org/10.1117/12.2653085

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