Full-field intelligent dispatch method of container wharf trailer

Abstract

The invention discloses a full-field intelligent dispatch method of container wharf trailers, comprising the following steps: 1) operating a dispatch scheme formulating module, and formulating an optimized trailer dispatch scheme; 2) judging whether the optimized trailer dispatch scheme can finish loading and unloading within the period required by customers; if not, adjusting the number of the trailers for performing loading and unloading tasks, and converting to perform step 1); if yes, transmitting the optimized trailer dispatch scheme to the trailer dispatch module of a port management system, and controlling the corresponding trailers to perform the loading and unloading tasks; 3) operating a dynamic adjusting module, and adjusting the dispatch scheme according to a feedback loading and unloading message. The invention adopts the combination of a dynamic method and a static method to realize the full-field intelligent dispatch of the container wharf trailers, has the characteristic of self adjustment and can optimize the dispatch scheme; meanwhile, due to the firm basis, the invention is easy to find a better algorithm. The model of the invention approaches to reality and has small model operand, thus ensuring stronger practicality.

Description

technical field [0001] The invention relates to the intelligent operation dispatching of trailers in a container terminal by using a computer. Background technique [0002] In our country, there are few researches on the vehicle transportation in the port, and only a few colleges have done similar researches. Summarizing the results of current research at home and abroad, there are three main problems: [0003] 1. Most of the port transportation problems are made with various assumptions to simplify the problem. For example: the waiting time of the shore crane is 0, the loading and unloading operation time of the shore crane is constant, the factors of traffic network congestion are ignored, and so on. However, in practice, these factors have no small influence on the results of the problem. Therefore, the results of the above research are difficult to apply in practice. [0004] 2. There is a lack of research on full-field scheduling. Most of the models established in ...

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Problems solved by technology

Therefore, it is difficult to apply the results of the above research to practice.

[0004] 2. Lack of research on full-field scheduling

Most of the models established in the current research on vehicle transportation are the case of a single shore crane operation

A few literatures have considered the solution of the multi-shore crane model, but these problems have been proved to be NP-hard problems that are difficult to solve in polynomial problems, and only some heuristic algorithms can be used to find better solutions

Due to the large scale of the full-field scheduling problem, it is difficult to find an efficient algorithm to obtain the optimal solution to the problem

Now when faced with the problem of full-field scheduling, we can only rely on the experience and strategies of our employees

[0005] 3. The built model and algorithm are relatively complex, the amount of calculation is too large, and the practicability is poor

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