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A collaborative optimal scheduling method for dock quay cranes and field bridges

A scheduling method and collaborative optimization technology, applied in data processing applications, forecasting, calculations, etc., can solve problems such as difficulties in coordinated scheduling operations of wharf quayside bridges and yard bridges

Active Publication Date: 2020-10-02
ZHEJIANG UNIV OF TECH
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  • Summary
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  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In order to solve the problem of cooperative dispatching of wharf quayside cranes and yard bridges and difficult storage operations in the storage yard, the present invention provides a collaborative optimization scheduling method for wharf quayside cranes and yard bridges

Method used

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  • A collaborative optimal scheduling method for dock quay cranes and field bridges
  • A collaborative optimal scheduling method for dock quay cranes and field bridges
  • A collaborative optimal scheduling method for dock quay cranes and field bridges

Examples

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Embodiment 1

[0064] Such as figure 1 As shown, a coordinated optimization scheduling method for quay cranes and yard bridges includes the following steps:

[0065] Step 1: Set the quay crane and the yard bridge as the scheduling object, combine the schedule and the position of the container on the ship and the yard, to complete the minimum time required for loading and unloading all the containers on a ship as the quay crane and the yard bridge The goal of constructing a mathematical model for simultaneous handling of import and export containers with shellfish;

[0066] Step 2: Use the entropy evaluation system to indicate the container storage status of ships and yards, use double-layer chromosomes to encode the container loading and unloading sequence, and design an improved genetic algorithm based on the entropy values ​​of ships and yards to solve the problem of container storage. Synchronize the mathematical model of loading and unloading operations to obtain the optimal quay crane and y...

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Abstract

The invention discloses a wharf shore bridge and field bridge collaborative optimization scheduling method. The method comprises the following steps: carrying out pretreatment; defining the shore bridge and the field bridge as scheduling objects; a container stack is used as a minimum loading and unloading unit; combining the ship date table and the position of the container in the ship and the storage yard; the minimum time spent on loading and unloading of all containers on a ship and the short moving distance between a quay crane and a field bridge are taken as targets for scheduling of thequay crane and the field bridge, a mathematical model of synchronous loading and unloading operation of the import and export containers is constructed, and an optimal quay crane and field bridge scheduling scheme under a given import and export container loading and unloading task is obtained. According to the wharf quay crane and field bridge optimization scheduling method, the entropy evaluation system is designed, the improved genetic algorithm based on the entropy matching principle is designed, the solving capability of the algorithm is greatly improved, and the cooperative scheduling capability of the quay crane and the field bridge is improved.

Description

Technical field [0001] The invention belongs to the field of coordinated optimization scheduling methods for dock loading and unloading equipment, and specifically relates to a coordinated optimization scheduling method for dock quay cranes and yard bridges. Background technique [0002] With the rapid development of world economic integration, container shipping plays an extremely important role in international logistics. Container transportation has been developing for nearly 30 years. Except during the global economic crisis in 2009, container throughput has maintained steady growth. The growth rate in the first 20 years was about 10%. Although the growth has slowed down in the past 10 years, it has remained at about 5%. . The rapid development of container transportation has driven fierce competition among container terminals. Only by shortening the terminal operation time and reducing the operating costs of terminal container ships can we have a competitive advantage. Ado...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q10/04G06Q10/08G06N3/12
Inventor 蒋美仙郑建鹏王振水黄苏西郑佳美吴国兴
Owner ZHEJIANG UNIV OF TECH
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