Intelligent logistics service system

Abstract

The invention discloses an intelligent logistics service system. The system comprises a data acquisition layer for acquiring data of a logistics service scene, a cloud computing processing center forcomputing, processing and analyzing the data of a specific logistics service scene, an external access interface provided and supported by the cloud computing processing center, a data storage centerfor storing various data required by a user, and an edge computing center. The edge computing center is provided with a unified access gateway used for receiving the data acquired by the data acquisition layer, and the edge computing center has a function of preprocessing the data acquired by the data acquisition layer and a function of predicting a specific scene or a special situation through amodel at the same time. Through the introduction of the edge computing center, the intelligent logistics service system can achieve the quick analysis and early warning of special conditions in the logistics service, also can improve the safety of logistics service management, and also reduces the analysis and prediction time of numerous and numerous logistics service data.

Description

technical field [0001] The invention relates to the technical field of logistics business management. Specifically, it involves a smart logistics business system using a fusion architecture. Background technique [0002] Driven by the wave of the Internet, the trend of informatization and intelligentization of logistics business management is gradually spreading. Since modern enterprises are mostly typical asset-intensive and information-intensive enterprises with computer systems as the core of business support, compared with traditional logistics business management models, modern enterprises need to be able to efficiently process massive amounts of information and give rapid feedback, so that A new generation of logistics business management model that meets the needs of efficient operation of modern enterprises. [0003] The smart logistics business system is the product of the integration of modern high-speed interconnection networks, mature big data cloud computing t...

AI Technical Summary

Problems solved by technology

[0005] However, the existing traditional cloud computing architecture that relies on a single data center concentrates computing and storage on cloud servers, and the performance of the entire system is limited by the network bandwidth and the computing power of the cloud platform server cluster. For the complicated logistics business management in modern enterprises, there may be problems

On the one hand, with the development of the Internet of Things and the application of wearable devices, smart sensors and other equipment in logistics management, the data sources involved in the logistics business and may need to be accessed will be very complex and huge, and the influx of a large amount of data It will cause network congestion or server processing time is too long, which not only puts huge pressure on the data integrity and transmission efficiency of network transmission, but may even cause the central cloud computing infrastructure to be unable to complete the processing of large amounts of data, thereby accompanied by user experience. On the other hand, this structure is not conducive to the monitoring and handling of emergencies in modern logistics operations that require very high response time, such as fires, because the monitoring data under the existing structure Both the analysis and the issuance of instructions need to be processed by the cloud server and transmitted through the network, and the response time is the sum of the above processing and transmission time; finally, under the existing architecture, a large amount of user or scene data may cause serious security problems. Sexuality and privacy issues, once these logistics business data are stolen or leaked, it will cause great losses

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