Intelligent classification garbage can system based on internet of things and intelligent classification garbage can

A dustbin and Internet of Things technology, applied in the field of Internet of Things, can solve problems such as safety and hidden dangers, achieve the effect of improving efficiency, improving recognition accuracy, and reducing the need for manual assistance

Active Publication Date: 2019-11-08
CHINA UNIV OF PETROLEUM (EAST CHINA)
View PDF7 Cites 10 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Although it can classify the garbage during the process of throwing it into the garbage, i

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Intelligent classification garbage can system based on internet of things and intelligent classification garbage can
  • Intelligent classification garbage can system based on internet of things and intelligent classification garbage can
  • Intelligent classification garbage can system based on internet of things and intelligent classification garbage can

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0039] see figure 1 , the intelligent sorting garbage bin system 1 includes a plurality of smart sorting garbage bins 10 placed in different areas, and a remote server 12 that communicates with the smart sorting garbage bins 10 through a communication network including a base station 11 . Wherein, the "communication line" is configured as a wired communication connection, a wireless communication connection or a combination of both. Among them, "places in different areas" are, for example, indoor places of different families. As more and more intelligent sorting garbage bins are connected to the Internet, the technical effects of the present invention will become more obvious and prominent.

[0040] see figure 2 , in terms of circuit structure, the intelligent sorting garbage bin 10 includes a control unit 2, a communication unit 31, a battery unit 32, a material detection sensor 33, a camera 34 and a garbage sorting mechanism 4, and the garbage sorting mechanism 4 has an el...

Embodiment 2

[0063] As the description of Embodiment 2 of the intelligent sorting garbage bin system of the present invention, only the differences from Embodiment 1 of the above-mentioned intelligent sorting garbage bin system will be described below, that is, the differences in the structure of the garbage bins will be described.

[0064] see Figure 12 and Figure 13 In order to prevent garbage from falling onto the turntable portion outside the transfer through hole 401, this embodiment installs a stopper mechanism 9 at the tail end of the inclined guide groove 8; specifically, the stopper mechanism 9 includes a liftable ground The material baffle plate 90 installed at the tail end of the inclined guide groove 8, and the return spring 91 used to force the material baffle plate 90 to rise to the garbage stop at the tail end; The end side of the hole 401 adjacent to the rotating shaft 53 is fixed with a permanent magnet 92, which is used to apply a magnetic attraction force to the mater...

Embodiment 3

[0066] As the description of Embodiment 3 of the intelligent sorting garbage bin system of the present invention, only the differences from Embodiment 1 or Embodiment 2 of the above-mentioned intelligent sorting garbage bin system will be described below.

[0067] Omit the material detection sensor constructed by photoelectric sensor, etc., refer to Figure 5 and Image 6 In the shown structure, the camera is used to continuously shoot images at the transfer through hole 401 located below the end of the inclined guide groove 8, and continuously compare each frame of image with the previous frame to determine whether there is garbage. As a pre-judgment condition for starting garbage identification, the two frames of images before and after are converted into grayscale images, the gray values ​​of the two frames of images before and after are subtracted, and then binarized, so as to judge whether the image after the difference is There is garbage, for example, black means that ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention relates to an intelligent classification garbage can system based on an internet of things and an intelligent classification garbage can, and belongs to the technical field of the internet of things. The intelligent classification garbage can system comprises multiple intelligent classification garbage cans and a remote server; the intelligent classification garbage cans comprise control units and communication units; when the garbage feeding is detected, present garbage images are obtained; present garbage types are identified based on local identification models; if the garbagetypes cannot be identified, the garbage types are sent to the remote server for identification by using remote identification models; if the remote server cannot identify the garbage types, a sound picker is started to obtain garbage name information; the garbage types are identified based on the garbage name information; and based on type identification results, a garbage sorting execution mechanism is controlled to guide present garbage into corresponding sub garbage storage boxes. The intelligent classification garbage can system uses the remote server for helping identification based on an internet of things communication technology to effectively improve the garbage classification accuracy, and can be widely applied to such fields as garbage treatment.

Description

technical field [0001] The present invention relates to the technical field of the Internet of Things, in particular to an intelligent sorting garbage bin system based on the IoT technology and an intelligent sorting garbage bin used to construct the smart sorting garbage bin system. Background technique [0002] With the enhancement of garbage classification awareness and the implementation of relevant regulations, many people cannot fully implement the classification regulations because they cannot be classified or the classification is too troublesome. [0003] In order to solve the above-mentioned difficult problem of manual classification, a garbage classification method is disclosed in the patent document with the publication number CN109018777A, which specifically includes obtaining the image information in the garbage bin through the camera and transmitting it to the central processing unit; Garbage identification and classification based on the image information; th...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): B65F1/14B65F1/00B65F1/16G06K9/00
CPCB65F1/14B65F1/0066B65F1/1638B65F2001/008B65F2210/138B65F2210/176G06V20/10Y02W30/10
Inventor 吕为康
Owner CHINA UNIV OF PETROLEUM (EAST CHINA)
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap