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Cabinet site selection method and device based on big data, server and storage medium

A technology of big data and cabinet machine, applied in the field of big data processing, can solve the problems of high manpower and time cost, and cost a lot of manpower and time, and achieve the effect of reducing manpower and time cost

Pending Publication Date: 2019-06-25
SHENZHEN HIVE BOX TECHNOLOGY CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004] However, this method of location selection for cabinet machines requires a lot of manpower and time to investigate site information, and the cost of manpower and time is very high

Method used

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  • Cabinet site selection method and device based on big data, server and storage medium
  • Cabinet site selection method and device based on big data, server and storage medium
  • Cabinet site selection method and device based on big data, server and storage medium

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Embodiment Construction

[0024] The present invention will be further described in detail below with reference to the drawings and embodiments. It can be understood that the specific embodiments described here are only used to explain the present invention, but not to limit the present invention. In addition, it should be noted that, for ease of description, the drawings only show a part but not all of the structure related to the present invention.

[0025] Before discussing the exemplary embodiments in more detail, it should be mentioned that some exemplary embodiments are described as processes or methods depicted as flowcharts. Although the flowchart describes the steps as sequential processing, many of the steps can be implemented in parallel, concurrently, or simultaneously. In addition, the order of the steps can be rearranged. The processing may be terminated when its operation is completed, but may also have additional steps not included in the drawings. The processing may correspond to metho...

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Abstract

The embodiment of the invention relates to a cabinet site selection method and device based on big data, a server and a storage medium. The cabinet site selection method based on the big data comprises: determining a cabinet putting index corresponding to an area type in preset reference indexes according to the area type to which a to-be-selected address belongs; based on the big data, obtainingdelivery assessment data of a to-be-selected address corresponding to the cabinet delivery index; judging whether the delivery assessment data reaches preset reference data of the region type or not;and if so, prompting to put the cabinet at the to-be-selected address. According to the technical scheme provided by the embodiment of the invention, the cabinet addressing is carried out through thebig data, so that the labor cost and the time cost of the cabinet site selection are reduced.

Description

Technical field [0001] The embodiments of the present invention relate to the technical field of big data processing, and in particular to a method, device, server and storage medium for cabinet machine address selection based on big data. Background technique [0002] In recent years, with the rapid development of e-commerce, the express delivery business closely related to e-commerce has shown a rapid growth trend. However, the "last mile" delivery problem at the end of express delivery has become a bottleneck in the development of express delivery industry. Smart express cabinets should be put into operation in this environment. Born. [0003] When the smart express cabinet is facing the problem of how to select the location of the express cabinet, it is mainly the personnel responsible for the location of the express cabinet to the site to investigate and collect the number of households, resident population, number of buildings, Venue information such as the number of floors,...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06Q10/08
CPCG06Q10/08G06Q10/06
Inventor 谢敬思
Owner SHENZHEN HIVE BOX TECHNOLOGY CO LTD
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