Method and system for optimizing unmanned travelling crane lifting path of warehouse area in two-way path asymmetrical state

A path optimization, asymmetric technology, applied in the direction of instrument, data processing application, prediction, etc., can solve the problem of lack of path optimization method, and achieve the effect of driving path optimization

Active Publication Date: 2018-07-13
BEIJING BESTPOWER INTELCONTROL TECH CO LTD
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AI Technical Summary

Problems solved by technology

[0005] The existing artificially random lifting path scheme lacks a good path optimization method to guide the driving work. It is urgent to develop a corresponding path optimization method to prevent artificial illegal lifting, reduce the accident rate, and improve lifting labor efficiency. Reduce driving distance and improve driving utilization

Method used

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  • Method and system for optimizing unmanned travelling crane lifting path of warehouse area in two-way path asymmetrical state
  • Method and system for optimizing unmanned travelling crane lifting path of warehouse area in two-way path asymmetrical state
  • Method and system for optimizing unmanned travelling crane lifting path of warehouse area in two-way path asymmetrical state

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Embodiment 2

[0092] Based on the method for optimizing the hoisting path of unmanned vehicles in the reservoir area in the state of two-way path asymmetry in the first embodiment, the present application also provides an optimization system for hoisting path of unmanned vehicles in the reservoir area under the state of bidirectional path asymmetry.

[0093] Such as figure 2 As shown, the unmanned driving path optimization system provided by the present invention under the asymmetric state of the two-way path includes: a system database, a data communication module, an artificial intelligence control module, a two-way path calculation module, an optimized path calculation module, and a driving operation basic automation module . System database, data communication module, artificial intelligence control module, two-way path calculation module, optimized path calculation module. The system database is located at the server, and the artificial intelligence control module, the two-way path c...

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Abstract

An embodiment of the invention discloses a method for optimizing an unmanned travelling crane lifting path of a warehouse area in a two-way path asymmetrical state. The method comprises the steps of A, receiving a lifting task order of the warehouse area, and dividing the lifting task order of the warehouse area into sub-task orders for cargos according to different output and input requirements of the cargos; B, according to the different output and input requirements of the cargos in the sub-task orders, defining positions and output and input gate numbers of the cargos; C, according to position coordinates and the output and input gate numbers of the cargos, calculating a driving distance, between every two cargos, of a traveling crane under different lifting sequences to obtain a driving distance matrix; D, according to the driving distance matrix, calculating an optimal lifting sequence; E, according to the optimal lifting sequence, calculating an optimal driving path; and F, according to the optimal driving path, controlling the running of the traveling crane. Therefore, the driving distance of the traveling crane can be shortened and the utilization rate of the traveling crane can be increased.

Description

technical field [0001] The invention relates to the field of unmanned vehicle hoisting path optimization, in particular to a method and system for unmanned vehicle hoisting path optimization in a storage area under the state of bidirectional path asymmetry. Background technique [0002] With the rapid development of modern industry, warehouse unmanned lifting system has entered the stage of history. Warehouse unmanned hoisting system, that is, unmanned control of warehouse traffic. This system installs distance detection equipment in all directions of the xyz axis on the traditional crane, and uses artificial intelligence to arrange the driving operation plan, control the driving position and grab and put down. Cargo movement, instead of the manual operation of the driving operator, realizes the automatic lifting system of the driving in the warehouse area. [0003] In the unmanned hoisting system, how to effectively optimize the driving route, shorten the driving distance,...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q10/08
CPCG06Q10/047G06Q10/083
Inventor 苗亮亮张玺石爱文
Owner BEIJING BESTPOWER INTELCONTROL TECH CO LTD
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