Logistics node facility layout optimization method based on computer vision

A computer vision and layout optimization technology, applied in computing, logistics, data processing applications, etc., to reduce transportation costs and improve the quality of cold chain transportation

Pending Publication Date: 2019-04-02
焦家祥
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

In general, the research on the internal layout optimization of logistics nodes under complex terrain conditions and multiple constraints needs to be in-depth.

Method used

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Embodiment Construction

[0015] The following clearly and completely describes the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only some of the embodiments of the present invention, but not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0016] In an embodiment of the present invention, a computer vision-based logistics node facility layout optimization method includes the following steps:

[0017] Step (1), using the zoning method to determine the number of logistics outlets, using a circle to represent the outlets in a region: sort the flow of all outlets in a certain area to obtain a flow sorting table, and divide the outlets according to the ranking of the flow; select the flow The largest network point is the center of the circle, and at the same time, calculat...

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Abstract

The invention discloses a logistics node facility layout optimization method based on computer vision, which is characterized by adopting a partitioning method to determine the number of logistics network points, and using a circle to represent network points in an area, sequencing the flows of all the network points in a certain area to obtain a flow sequencing table, and dividing network point grades according to the flow sequencing; and selecting the network point with the maximum flow as a circle center, solving the maximum distance from the network point to the next-level network point, drawing a circle by taking the distance as the radius, and determining the coverage range of the network point. The method can meet the site selection of various logistics sites, especially the site selection of regional logistics sites, can meet the site selection of sites with the minimum transportation cost in the region, improves the cold chain transportation quality of products, and reduces the transportation cost.

Description

technical field [0001] The invention relates to a layout optimization method, in particular to a computer vision-based logistics node facility layout optimization method. Background technique [0002] Layout problems widely exist in transportation, large-scale integrated circuit design, architectural design, machinery manufacturing, aerospace and other fields, and are highly complex. Logistics node layout problems include regular functional area layout and irregular functional area layout. Most of the existing research on layout problems is limited to rectangular areas, but in practice, irregular functional areas are more common, and layout problems are far more complicated than regular functional areas. The existing research methods are to transform irregular functional areas into regular Ribbon (rectangular area) to study. Layout problems can be divided into two categories: discontinuous layout and continuous layout. When the number of functional areas is greater than 15...

Claims

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Application Information

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IPC IPC(8): G06Q10/04G06Q10/08
CPCG06Q10/043G06Q10/08
Inventor 焦家祥
Owner 焦家祥
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