Autonomous mobile robot for airport, luggage and cargo transfer system for airport, and application method

Abstract

The invention discloses an autonomous mobile robot for an airport, a luggage and cargo transfer system for the airport, and an application method, and belongs to the field of airport logistics automation and intelligence and luggage information whole-course tracking. The autonomous mobile robot provided by the invention comprises an upper transferring device and a chassis, wherein the upper transferring device is connected with the chassis through a hinge; and the upper transferring device comprises a front baffle, a rear baffle and a conveying device. The application method of the autonomousmobile robot for the airport comprises the adoption of the autonomous mobile robot for the airport. The luggage and cargo transfer system for the airport further comprises an import conveying line, acache conveyor, an operation path, a queuing area and an upper-layer task management system, wherein the import conveying line and the cache conveyor are each provided with a photoelectric sensor anda radio frequency identification device (RFID) reader-writer. According to the autonomous mobile robot for the airport, the luggage and cargo transfer system for the airport, and the application method provided by the invention, secondary sorting of departure baggage can be achieved, manual participation is not needed, baggage sorting can be automatically completed, the number of autonomous mobilerobots can be configured according to the actual requirement of the system, and when the requirement processing efficiency of the system is low, a small number of autonomous mobile robots can be configured.

Description

technical field [0001] The invention belongs to the fields of airport logistics automation and intelligence, autonomous mobile robots (Autonomous MobileRobot—AMR), and baggage information tracking fields, and specifically relates to an airport autonomous mobile robot, a luggage cargo transfer system and a method of use. Background technique [0002] At present, the airport baggage and cargo handling system is dominated by traditional conveyors, turntables, independent delivery systems and other rail-type transportation methods fixed on the ground. This type of handling mode often needs to be designed to meet the needs of the next 5 or 10 years or even longer. Therefore, in the initial stage of the logistics system, its processing capacity is far higher than the existing baggage processing demand, resulting in a lot of waste of resources. In addition, the current logistics system still has a large number of manual processing links, such as the processing of luggage in the unp...

AI Technical Summary

Problems solved by technology

[0002] At present, the airport baggage and cargo handling system is dominated by traditional conveyors, turntables, independent delivery systems and other track-type transportation methods fixed on the ground. This type of handling mode often needs to be designed to meet the needs of the next 5 or 10 years or even longer. The processing peak demand of the logistics system, so in the early stage of the logistics system, its processing capacity is far higher than the existing baggage processing demand, resulting in a lot of waste of resources

In addition, the current logistics system still has a large number of manual processing links, such as the processing of luggage in the unpacking room, the secondary sorting of the carousel, etc., resulting in low efficiency of luggage or cargo handling, loss, damage, misshipment, and failure to automatically collect luggage or cargo information. And other issues

[0003] Especially in the current carousel luggage sorting mode, often the luggage of 3-5 flights will be sorted into the same carousel. At this time, multiple staff members are required to scan the barcodes of all luggage in turn, and then sort out the luggage of different flights. The labor intensity of the staff is high, and they need to bend down repeatedly to scan the luggage barcode and unload the luggage of the designated flight from the carousel. Because the workers' secondary sorting of luggage is affected by many factors such as manual objective and subjective factors, the efficiency of luggage sorting is reduced. Low and prone to misclassification, resulting in flight delays or mishandling of luggage, etc.

[0004] In addition, the current application of autonomous mobile robots in the industry is to integrate the upper transfer mechanism on the mature chassis, which makes the maintenance of the chassis difficult, and the upper transfer mechanism is difficult to disassemble.

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