Method for planning and scheduling travelling bridge of automated dock

A technology of automated wharf and scheduling method, applied in the field of bridge crane planning and scheduling to realize automated wharf planning operations, it can solve the problems of time and investment, no scheduling plan, and the work efficiency of bridge cranes will not be improved.

Inactive Publication Date: 2010-12-29
SHANGHAI ZHENHUA HEAVY IND
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  • Abstract
  • Description
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  • Application Information

AI Technical Summary

Problems solved by technology

Of course, in terms of hardware, the terminal can choose to expand berths and invest in advanced equipment to achieve this goal, but the time and investment required are a huge problem, and for some small countries, land use is the biggest constraint
If the process is not optimized and there is no good scheduling plan, the work efficiency of bridge cranes will not be improved

Method used

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  • Method for planning and scheduling travelling bridge of automated dock
  • Method for planning and scheduling travelling bridge of automated dock
  • Method for planning and scheduling travelling bridge of automated dock

Examples

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Embodiment Construction

[0057] The present invention provides a scheduling method for automatic wharf bridge crane plan, refer to figure 1 with figure 2 As shown, the method 100 includes:

[0058] Step 102, generating task clusters according to the ship map and loading and unloading stowage map.

[0059] A task cluster is a bunch of boxes with the same primary attribute, and its division method is mainly based on the combination of the following primary attributes: the operation method of the box (such as loading / unloading), the location (such as on the bay deck / Down), size (like 20 / 40 feet). exist Figure 5In an example shown, the ship shell 26 has 5 task clusters 1-5 in total. If twin tank operations are considered, two odd-numbered 20-foot tanks can be combined as a mission cluster. That is by Figure 5 Task cluster 1 and task cluster 2 in become Image 6 task cluster 1 and task cluster 2 in Figure 5 Task cluster 4 and task cluster 5 in become Image 6 Task cluster 4 in , so that the t...

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Abstract

The invention relates to a method for planning and scheduling a travelling bridge of an automated dock, which can optimize the loading and unloading flows of the automated dock and shorten the loading and unloading time of the dock. The method of the invention comprises the following steps of: generating a task cluster according to a ship drawing and a loading and unloading stowage plan, wherein the task cluster comprises containers having the same property; obtaining the initial position and operation range of the travelling bridge according to the number of loading and unloading containers and the limit condition of the travelling bridge; assigning the task to the travelling bridge through one or more screening conditions to obtain an initial task sequence; and obtaining an optimal result through local searching. The containers on a ship are divided into small tasks according to task types, so that the containers can be distributed effectively in a planning and arranging process of a container yard.

Description

technical field [0001] The invention relates to the field of automated wharves, more specifically, to a bridge crane planning and scheduling method for realizing automated wharf planned operations. Background technique [0002] Due to economic globalization and increasingly close international trade, the throughput of container terminals is increasing day by day, and customers' requirements for services are also increasing day by day. Under such a background, whether more ships can be loaded and unloaded in the same period of time and the goods can be delivered to customers on time has become a demand status of today's international container terminals. Of course, in terms of hardware, the terminal can choose to expand berths and invest in advanced equipment to achieve this goal, but the time and investment required are a huge problem, and for some small countries, land use is the biggest constraint . However, from a soft point of view, the terminal can choose to optimize ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/00G06Q50/00G06Q10/06G06Q50/28
Inventor 王岩
Owner SHANGHAI ZHENHUA HEAVY IND
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