Fruit picking type sorting method

A technology for items and cargo locations, applied in the field of intelligent storage, can solve the problems of complex and cumbersome operation process, low utilization rate of intelligent storage space, and large floor area

Active Publication Date: 2018-11-06
SHANGHAI ATOVO ROBOTICS CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, most of the existing intelligent sorting is based on the cooperation of manipulators or shunt conveyor lines and AGVs. Sorting by manipulators requires the manipulators to identify the positions of the items and AGVs respectively. The entire operation process is complicate

Method used

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Examples

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Example

[0090] The first embodiment of a fruit picking type sorting method of the present invention, such as figure 1 , As shown in 2, including:

[0091] The upper computer 1 issues sorting tasks to the sorting AGV2; each sorting AGV2 is equipped with a picking mechanism 22, a stocking mechanism 21, and an unloading mechanism 23; the stocking mechanism 21 has a number of independent storage compartments 211;

[0092] Specifically, each sorting AGV2 has a picking mechanism 22, a stocking mechanism 21, and an unloading mechanism 23. Each sorting AGV2 is also provided with a first wireless transceiver. The wireless transceiver can be a wireless WIFI module, etc., with wireless functions. equipment. The sorting AGV2 communicates with the upper computer 1 through the first wireless transceiver to obtain the sorting tasks issued by the upper computer 1, so that the sorting AGV2 can perform its own sorting tasks according to the sorting tasks assigned by the upper computer 1 .

[0093] The host ...

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PUM

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Abstract

The invention provides a fruit picking type sorting method. The fruit picking type sorting method comprises the steps that an upper computer issues a sorting task to a sorting AGV; the upper computeris positioned according to the position where the sorting AGV is distributed with the sorting tasks, and a corresponding sorting walking path is generated according to the position where each articleis placed in the corresponding sorting task, and issues a sorting walking route to a corresponding sorting AGV; the sorting AGV moves to the corresponding sorting goods shelf according to the receivedsorting walking path; the sorting mechanism is arranged at the goods position, the sorting mechanism corresponds to the goods in the sorting task, sorting the goods to the goods placing area of the corresponding goods taking mechanism, the goods taking mechanism is in butt joint with an inventory mechanism of the goods taking mechanism, articles in the goods placing area are placed in the corresponding storage grids, until the sorting task is completed, the sorting AGV moves to the target unloading area, and the goods in the storage grid are enabled to be thrown to the corresponding destination through the unloading mechanism of the sorting AGV. According to the fruit picking type sorting method, the purposes of simplifying the sorting process, realizing efficient sorting and reducing theoccupied area of the sorting operation are achieved.

Description

technical field [0001] The invention relates to the technical field of intelligent storage, in particular to a fruit-picking sorting method. Background technique [0002] Due to the increasing cost of labor, the cost of sorting items for manual sorting is very high. While the efficiency of manual sorting is low, the sorting accuracy is not high enough. [0003] In the prior art, the items in the warehouse are sorted by robots. Since the manipulator of the robot is limited to holding one item, and the unmanned warehouse is still open to users, some users will enter the unmanned warehouse to steal , causing economic losses to the holders of unmanned warehouses, and sorting through robots is not convenient for the transformation of warehouse layout. [0004] With the promotion and rapid development of artificial intelligence, artificial intelligence has gradually been applied to intelligent storage systems, and with the popularity of online business, the domestic and foreign l...

Claims

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Application Information

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IPC IPC(8): B65G1/04B65G35/00B07C5/36
CPCB07C5/36B65G1/0492B65G35/00
Inventor 柳智周南松
Owner SHANGHAI ATOVO ROBOTICS CO LTD
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