A detection device for sorting goods on an e-commerce platform

Abstract

The invention discloses a detection device for goods sorting on an e-commerce platform, which includes a converging conveyor belt and a diverging conveyor belt. There are multiple diverging conveyor belts installed equidistantly on one side of the converging conveyor belt. The diverging conveyor belt A re-detection device for secondary sorting detection is installed on the top of the tail end of the belt, and an adjustment transmission plate is installed at the end of the shunt conveyor belt for the transmission of wrongly sorted goods, and an adjustment transmission belt is installed between the two adjustment transmission plates. In the present invention, by setting a re-detection device at the tail end of the shunt conveyor belt, the express box body can be scanned and confirmed again, and the size of the inflow express box body can be detected for auxiliary confirmation, thereby accurately judging the accuracy of the express box sorting. In case of a sorting error, the express box can be transferred to other diverting conveyor belts by adjusting the transfer tray to reduce the occurrence of sorting errors.

Description

technical field [0001] The invention relates to the technical field of goods sorting on an e-commerce platform, in particular to a detection device for goods sorting on an e-commerce platform. Background technique [0002] In today's life, with the vigorous development of the online shopping industry, e-commerce is also developing rapidly, and the express delivery industry relying on e-commerce is also developing rapidly. Most of the existing express delivery uses cartons for transportation, and express delivery needs to be sent to When all over the country, it is necessary to classify them according to the region where they are sent. Because the cartons containing the express delivery are of different sizes, the classification of the express cartons is a very cumbersome process. Now there are two methods: manual classification and equipment classification. Manual classification The efficiency is low, and it cannot meet the large-scale sorting work, so large-scale e-commerce...

AI Technical Summary

Problems solved by technology

[0002] In today's life, with the vigorous development of the online shopping industry, e-commerce is also developing rapidly, and the express delivery industry relying on e-commerce is also developing rapidly. Most of the existing express delivery uses cartons for transportation, and express delivery needs to be sent to When all over the country, it is necessary to classify them according to the region where they are sent. Because the cartons containing the express delivery are of different sizes, the classification of the express cartons is a very cumbersome process. Now there are two methods: manual classification and equipment classification. Manual classification The efficiency is low, and it cannot meet the large-scale sorting work, so large-scale e-commerce platforms use equipment to classify goods

[0003] When the existing sorting equipment sorts, there are usually the following steps: 1. Convergence; 2. Sorting; 3. Diversion; 4. Separate transportation. When merging, put all express cartons on the main conveyor belt for overall transmission , and then read the basic information of the express cartons through an automatic identification device (such as a barcode scanner, etc.), sort them, and then separate the express from the main conveyor belt for sorting, and complete the entire cargo sorting process. However, in the sorting step, when express delivery peaks, there are more express cartons, and the distance between adjacent express cartons is relatively close. When the main conveyor belt rotates and stops, it will cause the cartons to generate an inertia, resulting in larger and heavier ones behind. The carton continues to move forward by one end distance, so there is a possibility of missing the diversion port, or pushing the front small express delivery through the diversion port, resulting in express sorting errors. At the same time, the identification device on the main conveyor belt itself also has a scanning error. Probability, for this reason, we propose a detection device for goods sorting on e-commerce platforms

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