Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Automated guided vehicle AGV path optimization method and system in automated container terminal quay crane transpoint QCTP operation

An automated dock and route optimization technology, applied in the field of automated docks, can solve problems such as affecting the efficiency of AGV operations, less workload, and waste of resources, and achieve the effect of improving the efficiency of AGV operations and reducing the running distance.

Inactive Publication Date: 2019-01-15
QINGDAO PORT INT +1
View PDF5 Cites 10 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In the application of the existing QCTP lane planning method, it is found that the workload of lane 6 is less than that of the other three lanes, and the idle time is the most among the four lanes of 2 / 3 / 5 / 6. Especially in the case of fewer loading and unloading operations at the terminal, the idle state of the No. 6 lane is particularly obvious, which causes a waste of resources to a certain extent and indirectly affects the operating efficiency of the AGV

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Automated guided vehicle AGV path optimization method and system in automated container terminal quay crane transpoint QCTP operation
  • Automated guided vehicle AGV path optimization method and system in automated container terminal quay crane transpoint QCTP operation
  • Automated guided vehicle AGV path optimization method and system in automated container terminal quay crane transpoint QCTP operation

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0022] The specific implementation manners of the present application will be described in further detail below in conjunction with the accompanying drawings.

[0023] The AGV path optimization method in the automatic terminal QCTP operation proposed by this application, such as figure 2 shown, including the following steps:

[0024] Step S11: Determine the busyness of the loading and unloading ships at the automated terminal.

[0025] The busyness of loading and unloading ships represents the current workload of the automated terminal, and is defined to a set condition, such as the container loading and unloading volume per hour, or the utilization rate of bridge cranes or field cranes within a set time period, etc., in this application In the embodiment, for the QCTP lane, it is possible to determine the frequency of the AGV entering and leaving the QCTP lane.

[0026] Step S12: When the busyness of the loading and unloading ship is lower than the set condition, control t...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses an automated guided vehicle AGV path optimization method and system in an automated container terminal quay crane transpoint QCTP operation. The busyness degree of loading andunloading a ship of the automated container terminal is judged; when the busyness degree of loading and unloading a ship is lower than a set condition, a set lane of the QCTP lane is controlled to beswitched from an AGV interaction lane to an AGV passing lane so that the AGV can pass on the set lane; when the busyness degree of loading and unloading a ship is higher than a set condition, the setlane is kept as the AGV interaction lane. According to the automated guided vehicle AGV path optimization method and system in an automated container terminal quay crane transpoint QCTP operation in the application, a set lane is set; when the ship loading and unloading operation is busy, the set lane is used as the AGV interaction lane; when the ship loading and unloading operation is not busy, the set lane is used as the AGV interaction lane; when the ship loading and unloading operation is not busy, the set lane is switched into the AGV passing lane for use, thereby reducing the AGV operation path, improving the AGV driving degree of freedom, thereby improving the AGV operation efficiency.

Description

technical field [0001] The invention belongs to the technical field of automated wharves, and in particular relates to an AGV path optimization method and system in QCTP operations of automated wharves. Background technique [0002] The working belt in front of the container terminal refers to the area between the front line of the yard and the front line of the terminal. Its function is to serve the loading and unloading operations of the quay bridge and the operation of containers entering and leaving the yard. In the design of the container terminal, the layout of the working belt in front of the terminal is very important. The key is to determine the operating efficiency of the terminal. On the sea side of the yard of the fully automated container terminal, the automatic operation handover between the terminal and the yard is realized through the AGV (Automated Guided Vehicle, automatic guided vehicle). [0003] Existing automated container terminals usually configure s...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G05D1/02
CPCG05D1/0217
Inventor 王罡杨杰敏李永翠王夕铭吴艳丽刘俊杰陈强耿卫宁
Owner QINGDAO PORT INT
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products