Intelligent garbage classification device based on Internet of Things and control system thereof

Abstract

The invention discloses an intelligent garbage classification device based on the Internet of Things and a control system thereof. The intelligent garbage classification device comprises a peripheralframe, two blocking plates are fixedly connected into the peripheral frame, a moving-out opening is formed in the rear end of the peripheral frame, and a rear cover plate is connected to the moving-out opening in a hinged manner; and the interior of the peripheral frame is divided into three containing cavities through the two blocking plates, garbage containing barrels are arranged in the containing cavities respectively, the height of the garbage containing barrels is smaller than that of the peripheral frame, and the height of the garbage containing barrels is equal to that of the blockingplates. According to the corresponding garbage classification device, when garbage is thrown, only one garbage throwing opening exists, the trouble of observing garbage cans is avoided, and the problem that mistaken throwing is caused due to the fact that corresponding characters on the garbage cans disappear is solved; corresponding garbage throwing openings can be intelligently opened through abutton, so that the garbage is thrown into the corresponding containing barrels; and meanwhile, through the disclosed corresponding structure and the related control system, whether faults exist in the garbage cans or not can be eliminated in time, and misoperation is prevented.

Description

technical field [0001] The invention belongs to the field of garbage sorting, and relates to a garbage sorting device, in particular to an intelligent garbage sorting device based on the Internet of Things and a control system thereof. Background technique [0002] The patent with the publication number CN111259977A discloses a garbage sorting device based on deep learning. The garbage sorting device includes: an image collection module for collecting images of garbage to be sorted; a garbage name recognition module for using the garbage name recognition model Identify the garbage image to be classified to obtain the garbage name of the garbage to be classified, and the garbage name recognition model is constructed on the basis of a convolutional neural network classifier; the garbage category classification module is used to determine the name of the garbage to which the garbage name belongs by using the knowledge map Garbage categories are used to realize garbage classific...

AI Technical Summary

Problems solved by technology

[0003] However, although it discloses a specific method of how to identify and classify garbage; its method is too complicated, and if it is set for the garbage cans in the community, the cost is too high, and there may be larger problems in actual use; and Classification still has to rely on artificial distinctions. However, the current trash can entrance is relatively complicated, and there is a lack of an effective trash can that can intelligently open different openings according to the type of garbage, and intelligently determine the garbage in the trash can through related methods; in order to solve This problem, now provides a solution

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