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Logistics big data oriented processing system and method

A processing system and logistics system technology, applied in the field of logistics data processing, can solve the problems of semi-structured and unstructured data without processing ability, logistics data lacking real-time data processing ability, lack of big data processing ability, etc. The effect of communication time overhead, saving disk I/O overhead, and improving computing speed

Active Publication Date: 2018-07-27
SOUTH CHINA UNIV OF TECH +2
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Problems solved by technology

[0005] Existing logistics data information platforms can process structured logistics data, but most of them have no ability to process semi-structured and unstructured data
Moreover, many logistics data information platforms lack big data processing capabilities. Even if some are connected to a distributed big data processing framework similar to MapReduce to meet the needs of big data analysis on historical data, they still lack the ability to process a large amount of real-time logistics data. Efficient real-time data processing capability

Method used

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  • Logistics big data oriented processing system and method
  • Logistics big data oriented processing system and method
  • Logistics big data oriented processing system and method

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Embodiment Construction

[0041] In order to make the technical solutions and advantages of the present invention clearer, the following will be further described in detail in conjunction with the accompanying drawings, but the implementation and protection of the present invention are not limited thereto. It should be pointed out that if there is no special The detailed descriptions such as characters can be understood or implemented by those skilled in the art and with reference to the prior art.

[0042] The structure of logistics big data processing system, such as figure 1 shown.

[0043] 1. Processing system composition description

[0044] The processing system includes a data acquisition module, a data communication module, a data processing module, a data storage module and a visual management module.

[0045] Data acquisition module: composed of data aggregation layer. Collect the logistics data of the logistics system and equipment through the data aggregation layer for data aggregation; ...

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Abstract

The invention discloses a logistics big data oriented processing system and method, and relates to the technical field of logistics data processing. The volume of data generated by logistics is huge,the data comprises structured, semi-structured and non-structured data, the data is continuously generated in real time, and therefore high-efficiency and stable big data processing methods are urgently needed to process the data. The logistics big data oriented processing method is characterized in that a big data processing platform is provided for processing the logistics big data, wherein thebig data processing platform comprises a data acquisition module, a data communication module, a data storage module, a data processing module and a visual management module. The technical scheme is designed for the real-time performance of logistics big data and characteristics of various data structure types; the real-time data is subjected to calculation and processing through a real-time dataflow processing technology; the structured, semi-structured and non-structured data is subjected to persistence through various data persistence schemes.

Description

technical field [0001] The invention relates to the technical field of logistics data processing, in particular to a processing system method for logistics big data. Background technique [0002] With the continuous development of modern science and technology, the continuous maturity of the e-commerce field, and the continuous improvement of informatization in the logistics field, the demand for logistics data processing in the logistics field is increasing. The amount of data generated by logistics is huge, including structured, semi-structured and unstructured data, and it is continuously generated in real time. There is an urgent need for efficient and stable big data processing methods to process the data. Big data processing requires a combination of many advanced science and technology to process data within a tolerable time to obtain results. Currently widely used big data technologies include data acquisition, data access, infrastructure, data processing, statistic...

Claims

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Application Information

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IPC IPC(8): G06Q10/08G06F17/30
CPCG06Q10/083G06F16/182G06F16/27G06F16/284
Inventor 刘发贵秦政郑景中
Owner SOUTH CHINA UNIV OF TECH
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