Dispatch method and system for low bridge electric trolleys in automated container wharf

Abstract

The present invention discloses a container terminal low elevated electric car scheduling method and system, the scheduling method comprising the following steps: Step S1: data acquisition module position information on the low elevated running electric car lines for data collection, collected location information to sort out, and location information through the communication module to transmit this resolution module while receiving the low elevated electric car returned scheduling scheme; step S2: a position information analyzing module analyzing received; the execution module and determining a search result of the analysis low elevated electric car scheduling scheme; low elevated storage module stores electric car scheduling scheme, the feedback module low elevated electric car back to the parsing module scheduling scheme. The invention can clearly describe fully automated container terminal operations during the selection process low elevated electric car, to help container terminal operators to strengthen management, improve operational efficiency marina.

Description

technical field [0001] The invention relates to a dispatching technology of low-bridge electric trolleys, in particular to a dispatching method and system for low-bridge electric trolleys in an automated container wharf. Background technique [0002] The dispatching of low bridge electric trolleys is the first step in the dispatching of electric trolleys in the three-dimensional transmission system, and it is also the step that has the greatest impact on the subsequent dispatching of lifting trolleys. The rationality of dispatching and distribution strategies will directly affect the loading and unloading efficiency of container terminals. Therefore, is one of the key links. In the actual loading and unloading operation, the selected container of a certain low bridge needs to be operated in the horizontal direction by the electric trolley, and the empty movement of the trolley along the horizontal direction of the low bridge is determined by the difference of the selected el...

AI Technical Summary

Problems solved by technology

Through the research and technical reserves in recent years, the research on the three-dimensional track-type electric trolley has gradually deepened, but there is still a big gap with the research on other automated container terminals. The main problems are: (1) The research is too broad and not specific enough

(2) It cannot meet the real-time operation needs of wharf loading and unloading operations

However, the modeling of object-oriented stochastic Petri nets cannot reflect the data flow in the network, although the Petri net based on state modeling can accurately and conveniently define the control logic of the process. In this case, the data flow is related to the control The flow is completely mixed. When the two are different, the Petri net cannot explicitly express this data flow independent of the control flow, that is to say, it cannot be explicitly expressed in the equipment scheduling process of the automated container terminal. The data flow in the production process is not conducive to real-time control of the terminal production system

In addition, traffic flow is characterized by high nonlinearity, ambiguity and uncertainty, while real-time traffic flow forecasting is more significantly affected by external random disturbances. Therefore, how to overcome nonlinearity, uncertainty and randomness when using traffic flow forecasting The problem of interference needs to be used in combination with other predictive modeling methods. Using it alone cannot solve the problem of integrated scheduling and optimization of equipment in the wharf production process.

Although the above-mentioned various energy consumption model modeling methods have their own advantages, they cannot establish a model that meets the real-time scheduling requirements of the wharf, and the solution methods also have certain limitations in search time

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