Congestion prediction method and device, equipment and storage medium

A prediction method and technology for predicting results, applied in the computer field, can solve problems such as affecting the sorting efficiency and cannot effectively improve the sorting efficiency, and achieve the effect of improving the sorting efficiency

Pending Publication Date: 2021-11-05
BEIJING JINGDONG QIANSHITECHNOLOGY CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

It can be seen that the congestion during manual processing has already caused a certain loss, so this post-p

Method used

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Examples

Experimental program
Comparison scheme
Effect test

Example Embodiment

[0027] Embodiment one

[0028] figure 1 It is a flow chart of a congestion prediction method provided by Embodiment 1 of the present invention. This embodiment is applicable to the situation of predicting the congestion situation in the sorting equipment in advance. The method can be executed by a congestion prediction device, which can be implemented by software and / or hardware, and integrated into electronic equipment. like figure 1 As shown, the method specifically includes the following steps:

[0029] S110. Determine current package flow rate information corresponding to each inlet of the sorting device.

[0030] Among them, the sorting device can correspond to multiple entrances. Each entrance can correspond to a scanning device for scanning package information. The parcels to be sorted are scanned by the scanning device and placed at the corresponding entrance. The conveyor belt in the sorting device can transport the parcels at the entrance to the corresponding ex

Example Embodiment

[0041] Embodiment two

[0042] figure 2 It is a flowchart of a congestion prediction method provided by Embodiment 2 of the present invention. On the basis of the above-mentioned embodiments, this embodiment adjusts the inlet flow velocity of the target monitoring node whose current congestion prediction result is a congestion state, so as to avoid target monitoring The node is congested. The explanations of terms that are the same as or corresponding to the above-mentioned embodiments will not be repeated here.

[0043] see figure 2 The congestion prediction method provided in this embodiment specifically includes the following steps:

[0044] S210. Determine current package flow rate information corresponding to each inlet of the sorting device.

[0045] S220. Input each current parcel flow rate information into the preset congestion prediction model, and determine the current congestion prediction result corresponding to each monitoring node in the sorting device accordi

Example Embodiment

[0067] Embodiment three

[0068] image 3 It is a structural schematic diagram of a congestion prediction device provided by Embodiment 3 of the present invention. This embodiment is applicable to the situation of predicting the congestion situation in the sorting equipment in advance. The device specifically includes: the current package flow rate information determination module 310 and The current congestion prediction result determination module 320 .

[0069] Among them, the current package flow rate information determination module 310 is used to determine the current package flow rate information corresponding to each entrance of the sorting device; the current congestion prediction result determination module 320 is used to input each current package flow rate information into the preset congestion prediction model , and according to the output of the preset congestion prediction model, determine the current congestion prediction result corresponding to each monitoring n

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Abstract

The embodiment of the invention discloses a congestion prediction method and device, equipment and a storage medium. The method comprises the following steps: determining current package flow velocity information corresponding to each entrance of a sorting device; and inputting each current package flow rate information into a preset congestion prediction model, and determining a current congestion prediction result corresponding to each monitoring node in the sorting device according to the output of the preset congestion prediction model, wherein the preset congestion prediction model is obtained based on sample data training in advance. Through the technical scheme of the embodiment of the invention, the congestion condition can be predicted in advance, so that congestion can be handled in advance, and the sorting efficiency is effectively improved.

Description

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Claims

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Application Information

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Owner BEIJING JINGDONG QIANSHITECHNOLOGY CO LTD
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