Intelligent express method based on data analysis and terminal system

Abstract

The invention discloses an intelligent express method based on data analysis and a terminal system; the terminal system comprises a control center, a terminal of Internet of Things, and an intelligent express terminal, wherein the control center consists of a data management system and comprises a storage module and a communication module; the terminal of Internet of Things comprises an ID identification module; the intelligent express terminal comprises an intelligent express cabinet and an order information scanning module; after a package is scanned through the order information scanning module, effective order information is extracted and matched with the ID information stored in the storage module; the communication module sends a collection notice information to the order user, and user feeds back the specific collection model through the communication model; after user is verified through the ID identification model, one person can take multiple own expresses and one person can help others to take multiple expresses at the same time. The method and the terminal system are applicable to popularize and apply in the zone with concentrated users and large logistics quantity such as universities and companies, and provide a technical solution for the logistical distribution efficiency of the 'last one kilometer' today.

Description

technical field [0001] The patent of the present invention relates to the field of intelligent express cabinets and big data analysis, in particular to an intelligent express method and terminal system based on data analysis. Background technique [0002] With the development of big data cloud computing technology and the gradual popularization of Internet of Things technology, e-commerce is becoming more and more mature, which directly drives the rapid development of logistics as an emerging industrial economy. With the increase in the number and concentration of logistics packages, it will become a future development trend to deploy an "express supermarket" in special population concentrated areas such as colleges and universities and company parks. [0003] Although there are relatively mature "last mile" distribution models such as Cainiao Yizhan and Fengchao, they are not suitable for areas with concentrated populations such as universities and companies, where users ar...

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Problems solved by technology

[0003] Although there are relatively mature "last mile" distribution models such as Cainiao Yizhan and Fengchao, they are not suitable for areas with concentrated populations such as universities and companies, where users are closely related, where logistics are concentrated, where there is a large amount of logistics, and logistics updates are fast. Promotion in areas such as limited logistics sign-in area

The reason is: densely populated areas determine the large amount of logistics, and universities and companies cannot provide enough areas to set up Cainiao Post Station and Fengchao Smart Express Cabinet

[0004] According to market research, in the above-mentioned areas, couriers are often randomly scattered on the ground, which can not guarantee the safety of express packages, but also greatly affects the user experience

According to market research, in colleges and universities, especially in the face of "Double Eleven" and other shopping carnival seasons, procedures such as queuing up to sign orders are still unavoidable, and the delivery of packages is slow, which greatly affects the user experience

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