Logistics network early warning information generation method and server

Abstract

The invention relates to a logistics network early warning information generation method which is used for monitoring a logistics network. The logistics network comprises at least one logistics line. Each logistics line comprises an initial node, a terminal node and at least one transfer node. The method comprises the steps that an aging data early warning range is set, and the early warning range at least includes one node of the logistics network; first aging data of one logistics object from entering the early warning range to delivering out of the early warning range are acquired; current aging data of the early warning range are confirmed according to the first aging data and logistics attenuation coefficient; and when the current aging data meet the preset threshold, early warning information corresponding to the early warning range is generated. According to the logistics network early warning information generation method, a user or a logistics network provider is enabled to understand the aging state of the logistics network in advance so that selection or adjustment of a logistics scheme is facilitated.

Description

technical field [0001] This application relates to the field of Internet data processing, in particular to a method and server for generating logistics network early warning information. Background technique [0002] Logistics is an important link in business activities, and its content includes the whole process of planning, implementing and controlling the target items from the place of supply to the destination through transportation, storage, distribution and other methods. With the popularization of computers and networks, more and more individual users have come into contact with e-commerce. Compared with e-commerce activities between enterprises, the number of individual users is larger, the number of transactions is more frequent, and their needs are more diverse. , which brings great challenges to logistics management. [0003] The logistics network is composed of multiple logistics lines, and each logistics line further includes a number of logistics nodes. No mat...

AI Technical Summary

Problems solved by technology

[0005] Due to the huge number of logistics objects that need to be processed every day in the logistics network, when the existing technology logistics network calculates the time-sensitive data, it must obtain the entire logistics network or the daily full amount of data in the logistics network, then conduct offline statistical analysis to calculate the logistics The timeliness data of the network is lagging, and the latest timeliness data of the logistics network cannot be obtained in time. Therefore, early warning information cannot be provided to Internet business platforms, logistics network providers or e-commerce users in time, which affects the efficiency of the logistics network

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