Intelligent energy-saving comprehensive dispatching method for automatic container wharf

A scheduling method and container technology, applied in genetic rules, instruments, data processing applications, etc., can solve problems such as minimizing equipment energy consumption, failing to obtain a satisfactory solution, and not considering the impact of energy consumption, etc., to achieve reduction Effect of energy loss, improvement of loading and unloading work efficiency, and reduction of energy consumption

Active Publication Date: 2020-06-23
ZHENGZHOU UNIV
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  • Abstract
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Problems solved by technology

This method does not consider the impact of job sequence on energy consumption, and does not minimize equipment energy consumption
However, methods for minimizing energy consumption of equipment usually fail to obtain satisfactory solutions with limited solution time

Method used

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  • Intelligent energy-saving comprehensive dispatching method for automatic container wharf
  • Intelligent energy-saving comprehensive dispatching method for automatic container wharf
  • Intelligent energy-saving comprehensive dispatching method for automatic container wharf

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Embodiment Construction

[0036] In order to enable those skilled in the art to better understand the technical solutions of the present invention, the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0037] It should be noted that in the present invention, AGV (Automated Guided Vehicle) refers to an automatic carrier that can automatically lift and unload cargo, and QC (Quay Crane) refers to a shoreside container crane.

[0038] like Figure 1 to Figure 5 As shown, we set the loading position to be the initial position of the automatic handling vehicle AGV, and the unloading position is the initial position of the quay crane QC, all containers arrive at the same time, and each cargo has a random storage yard position, where The number of quayside crane QCs is 3, and the number of tasks of each quayside crane QC is 8. It can be seen that there are a total of 3×8=24 tasks, the number of automatic transfer vehicles AGV is set to 6, and the numbe...

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Abstract

The invention particularly discloses an intelligent automatic container wharf energy-saving comprehensive scheduling method which comprises the following steps: S1, based on a framework of a genetic algorithm, randomly encoding a container loading and unloading task to form an initial population; s2, calculating a fitness value of each individual in the population as a current generation solution;s3, judging whether the minimum value of the current generation solution is the current optimal solution or not; s4, sorting the fitness values of the individuals from small to large, and taking thefirst 1/8 individuals as excellent individuals; s5, taking the selected 1/8 excellent individuals as male parents to perform overturning, crossing, variation and random operation, obtaining 7/8 filialgenerations corresponding to the 1/8 male generations, then combining the 1/8 male generations and the 7/8 filial generations to form a complete population, and inheriting the complete population tothe next generation; and S6, judging whether the next generation obtained in the step S5 reaches a termination condition or not, if so, terminating the algorithm, and otherwise, returning to the stepS2. According to the invention, the container loading and unloading operation efficiency is improved, and the energy consumption of equipment is remarkably reduced.

Description

technical field [0001] The invention relates to the technical field of loading and unloading scheduling of container terminals, in particular to an intelligent energy-saving comprehensive scheduling method for automatic container terminals. Background technique [0002] More than 60% of the world's deep-sea cargo is transported by containers. From 2016 to 2019, the global container market demand has increased by about 4.7%. As a hub for the movement of goods, container terminals represent the interface between modes of transport such as ships, barges, trains and trucks, providing flexibility and scalability to cover different geographical areas. Therefore, the loading and unloading capacity of the container terminal has a great influence on the efficiency of cargo transportation. Automation can significantly reduce the completion time of cargo at the terminal and further increase the throughput of the container terminal. In addition to completion time, reducing energy cons...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06Q10/08G06N3/12
CPCG06Q10/0631G06Q10/083G06N3/126
Inventor 辛健斌孟闯彭金柱王东署王河山张方方
Owner ZHENGZHOU UNIV
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