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A method and system for intelligent sorting control based on big data

A control method and control system technology, applied in the field of intelligent sorting control method and its system based on big data, can solve problems such as uneven sorting quality, difficulty in applying fruit sorting, low work efficiency, etc. The effect of picking efficiency

Active Publication Date: 2021-07-27
重庆闪亮科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the above-mentioned manual sorting has low work efficiency and high cost, and the sorting quality will be affected by the proficiency of workers, resulting in uneven sorting quality, which is difficult to apply to large-scale fruit sorting

Method used

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  • A method and system for intelligent sorting control based on big data
  • A method and system for intelligent sorting control based on big data
  • A method and system for intelligent sorting control based on big data

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0067] refer to figure 1 , Figure 4 , Figure 6-9 shown.

[0068] Specifically, this embodiment provides a big data-based intelligent sorting control method, the method includes the following steps:

[0069] S1. If the sorting instruction sent by the sorting center is received, control the first camera 100 installed in the sorting area to start capturing the first image in real time and extract the adjustment size information included in the sorting instruction.

[0070] Wherein, the first image refers to the environment image of the area of ​​the sorting housing 101 captured by the first camera 100 .

[0071] In S1, after the information receiving module 31 inside the server 3 receives the sorting instruction sent by the sorting center, the first ingestion module 32 included in the server 3 controls the first camera 100 installed in the sorting area to start real-time The environment image of the area of ​​the sorting housing 101 is picked up, and at the same time, the i...

Embodiment 2

[0090] refer to Figure 2-3 , Figure 6-9 shown.

[0091] Specifically, this embodiment is basically the same as Embodiment 1, except that in this embodiment, after S3, the method further includes the following steps:

[0092] S30, controlling the inflatable buffer airbag 109 disposed on the inner wall of the top end of the sorting tank 105 to start to enter the protection state.

[0093] Specifically, after the delivery mechanism 202 is opened to allow the items to be sorted to enter the area of ​​the adjustment mechanism 102, the inflation control module 41 included in the server 3 controls the inflatable buffer air bag 109 arranged on the inner wall of the top of the sorting slot 105 to start filling up to enter In the protection state, the sorted items fall and cause damage.

[0094]S31. Controlling the home rotation shaft 103 connected to the adjustment mechanism 102 to enter the rotary sorting state and controlling the vibration motor 111 arranged at the bottom of the...

Embodiment 3

[0103] refer to Figure 5-8 shown.

[0104] Specifically, this embodiment is basically the same as Embodiment 1, except that in this embodiment, after S2, the method further includes the following steps:

[0105] S20, controlling the blocking mechanism 296 disposed at the rear end of the sorting housing 101 to fully extend and controlling the second camera 205 disposed at the rear end of the sorting housing 101 to start capturing the second image in real time.

[0106] Specifically, after the opening of the sorting slot 105 is completed, the blocking control module 46 included in the server 3 controls the fourth telescopic motor driven and connected to the fourth telescopic plate arranged at the tail end of the sorting housing 101 to fully extend the The rear end of the sorting housing 101 is blocked, and the items placed at the position of the sorting rod fall from the rear end of the sorting housing 101. At the same time, the second ingestion module 45 included in the serve...

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Abstract

A big data-based intelligent sorting control method and its system, including: if the sorting instruction sent by the sorting center is obtained, control the first camera to start capturing the first image in real time and extract the adjustment size information included in the sorting instruction, Control the adjustment mechanism to start to adjust to the size set by the adjustment size information and control the closed switch mechanism to fully shrink, control the start of the conveying mechanism to transport the items to be sorted to the conveying trough in real time, and control the opening of the delivery mechanism to move the most in the conveying trough. Put the single item at the front end into the adjustment mechanism area, and analyze in real time whether the items dropped from the adjustment mechanism area into the sorting chute, if so, control the delivery mechanism to open again and put the frontmost single item in the conveyor trough into the sorting chute. Adjust the area of ​​the mechanism and control the start of the weight sensor to obtain weight information in real time, analyze whether the weight inside the sorting trough exceeds the preset weight, and if so, control the lifting mechanism to drive the lifting platform to fully shrink.

Description

technical field [0001] The invention relates to the field of automatic fruit sorting, in particular to a big data-based intelligent sorting control method and system thereof. Background technique [0002] Fruits are common foods and ingredients, including apples, pears, tangerines, and oranges. Sometimes it is necessary to subdivide various types of fruits into various categories, such as sorting fruits of different sizes in a large number of fruits. It is realized by manual sorting, and because most fruits have different values ​​under different sizes, sometimes it is necessary to subdivide the different sizes of specific fruits, which is mostly realized by manual sorting. However, the above-mentioned manual sorting has low work efficiency and high cost, and the sorting quality will be affected by the proficiency of workers, resulting in uneven sorting quality, which is difficult to apply to large-scale fruit sorting. [0003] Therefore, how to combine fruit sorting with b...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): B07C5/10B07C5/16B07C5/36B07C5/38
CPCB07C5/10B07C5/16B07C5/362B07C5/38B07C2501/009
Inventor 张戍华赖华徐建红
Owner 重庆闪亮科技有限公司