Automatic wharf box area optimization system based on digital twinning and design method
An automated dock and twinning technology, applied in the field of automated docks, can solve problems such as idle equipment, affecting the efficiency of loading and unloading ships at the dock, and concentrating the workload in the container area.
Inactive Publication Date: 2022-06-07
SHANGHAI MARITIME UNIVERSITY
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Problems solved by technology
In this case, the container space allocation strategy in the planning mode based on the assumption that the future container arrival time is known cannot cope with the actual situation changes. If the planned container space allocation plan continues to be implemented, some equipment in the container area may Empty waiting, increased container turnover, and concentrated workload in the container area affect the loading and unloading efficiency of the terminal
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[0038] The following is described in more detail in conjunction with the accompanying drawings:
[0039] combine Figure 1 , illustrating the structural diagram of an automated terminal box area optimization system based on a digital twin. The present invention proposes an automated same box area optimization system based on a digital twin, which is divided into five components: physical box area, twin box area, data center, model library and algorithm library. Using digital twin technology, a virtual model of the automated box area is constructed, and a twin box area synchronized with the physical box area is formed through data acquisition and transmission; Based on the real-time updated twin box model and equipment data, the mathematical model and solution algorithm in the uncertain operation scenario are established, and the simulation optimization is combined to obtain a feasible and optimal box allocation scheme. Compared with the traditional scheduling optimization method, t...
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The invention discloses an automatic wharf box area optimization system based on digital twinning and a design method. Aiming at the influence of uncertain factors of an automatic container wharf on container space distribution, the invention provides an automatic wharf container area optimization system based on digital twinning. A physical and twinborn model of an automatic wharf box area is constructed by utilizing new technologies such as the Internet of Things, virtual reality and digital threads, and connection and mapping of a physical world and a digital world are completed. A box area distribution scheme is formulated by collecting real-time data of a box area and combining a model library and an algorithm library; and when the working environment in the box area changes, updating data in time, adjusting an initial scheduling scheme, and sending a latest instruction to the automatic wharf box area. According to the system, data can be fed back in real time to provide a box area operation scheme matched with reality, iterative verification is carried out in a twin box area, the feasibility and applicability of a scheduling scheme are improved, and the operation efficiency of an automatic wharf can be improved.
Description
Technical fields: [0001] The present invention relates to the field of automated terminal technology, specifically an automated terminal box area optimization system and design method based on digital twins. Background: [0002] In the actual operation of the automated terminal, in the face of uncertain factors such as weather, traffic, equipment failure, etc., the automation equipment and system cannot respond in time, and the initial scheduling plan is still implemented, which may lead to the phenomenon of empty equipment and centralized operation, affecting the overall efficiency of the terminal. The container area is the main place for automated terminal operations, which undertakes the outgoing and unpacking operations of containers. In the actual operation process, the yard staff formulates the yard box allocation plan based on the existing container volume and the expected arrival box volume, but due to the interference of uncertain scenarios such as the advance and delay ...
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IPC IPC(8): G06F30/13G06T19/00
CPCG06F30/13G06T19/006Y02P90/02
Inventor 苌道方高银萍陆后军凌强田宇李玉孙苗苗
Owner SHANGHAI MARITIME UNIVERSITY