CN212654886U

CN212654886U - Rubbish automatic classification bucket based on raspberry group control

Info

Publication number: CN212654886U
Application number: CN202021460607.5U
Authority: CN
Inventors: 李童越; 刘奕坤; 胡星; 钱全全; 胡耀华
Original assignee: Northwest A&F University
Current assignee: Northwest A&F University
Priority date: 2020-07-22
Filing date: 2020-07-22
Publication date: 2021-03-05
Anticipated expiration: 2030-07-22

Abstract

The patent discloses a rubbish automatic classification bucket based on raspberry group control, including the bung (on have touching uncap device, camera), rotatory workstation, outer bucket, four interior buckets of check, waste classification device and servo motor that open and shut. The cover opening device is touched to the front side of the barrel cover, and the camera is arranged at the front end of the inner side of the barrel cover plate; the rotary opening and closing workbench is arranged on the four-grid inner barrel; the garbage classification device is connected with the servo motor by a shaft penetrating through the four-grid inner barrel; the servo motor is arranged in a cylindrical space between the bottoms of the inner barrel and the outer barrel; the circuits and the control system of all the parts are arranged in the four-corner gap between the inner barrel and the outer barrel. This patent simple structure easily controls, has accomplished the core function betterly, and the power consumption is few with low costs, and different specifications are applicable to different life scenes such as family, office, have both solved the difficulty that people differentiateed the rubbish classification, have also realized the accurate classification of rubbish, do benefit to recovery processing.

Description

Rubbish automatic classification bucket based on raspberry group control

Technical Field

The patent relates to a rubbish intelligent recognition automatic classification bucket based on raspberry group control belongs to intelligent electrical apparatus field.

Background

In recent years, the economic society of China is rapidly developed, the material consumption level is greatly improved, the domestic garbage production is rapidly increased, the domestic garbage yield in China is kept about 5% in recent years according to the national statistical bureau and OECD data display, the domestic garbage clearing and transporting amount in the whole country in 2018 reaches 2.28 hundred million tons, China exceeds the United states at present, and the domestic garbage is the country which generates most garbage globally. The environmental hidden trouble of China is increasingly prominent, and the environmental hidden trouble of China becomes one of the restriction factors of the novel urbanization development at present. Therefore, the national compulsory garbage classification measures are gradually popularized from part of cities to the whole country. In the implementation scheme of the household garbage classification system, forced classification of household garbage is required to be implemented in 46 cities in China, and the recovery rate of the household garbage is more than 35% at the end of 2020. In the experiment process of forced garbage classification implementation, people have the most remarkable difficulty in distinguishing the belonging type of each piece of garbage, and according to the survey of the youth newspaper company in China, 68.9 percent of the visitors know the garbage classification by themselves and 95.8 percent of the visitors expect to know the garbage classification knowledge. In such a background, the research and development of the intelligent garbage classification device provides a convenient solution. The American CleanRobotics designed a Transhbotu garbage can prototype which enabled classified delivery of recyclable and landfill waste through metal detectors and sensors, but this did not meet the current level of garbage classification and was relatively expensive. In China, most of the existing intelligent garbage cans on the market are directed at the functions of automatic packaging and inductive uncovering, the research on the automatic classification function is not many, and in 2017, a set of full-automatic intelligent classification garbage can is designed in Li Ming and the like, but only the concept is provided, and the technology and the implementation mode are not mentioned. Therefore, at present, core technologies such as a machine vision technology, a deep learning technology and the like are integrated, an automatic classification mechanism capable of identifying garbage categories is designed, great practical significance is achieved for solving the garbage classification difficulty faced by most people and the environmental problems faced by China, and the automatic classification mechanism has wide application prospect and market value.

Disclosure of Invention

In view of the not enough of prior art, this patent provides a simple structure easily controls, and the automatic identification and the categorised garbage bin mechanical mechanism of low-cost of low power dissipation can realize rubbish.

In order to achieve the purpose, the adopted technical scheme is that the automatic garbage classification can mechanism capable of identifying garbage categories based on core technologies such as a raspberry group control integrated machine vision technology and a deep learning technology comprises a can cover (provided with a touch uncovering device and a camera), a rotary opening and closing workbench, an outer can, a four-cell inner can, a garbage classification device and a servo motor; the cover opening device is touched to the front side of the barrel cover, and the camera is arranged at the front end of the inner side of the barrel cover plate; the rotary opening and closing workbench is arranged on the four-grid inner barrel; the garbage classification device is connected with the servo motor by a shaft penetrating through the four-grid inner barrel; the servo motor is arranged in a cylindrical space between the bottoms of the inner barrel and the outer barrel; the circuits and the control system of the above parts are all arranged in the space between the square outer barrel and the round inner barrel.

The touch uncovering device is a capacitive sensing touch screen controlled by software based on a raspberry group, is triggered by hands, controls the opening of the cover, and closes the cover after the garbage is thrown into the shooting device for shooting and recognition.

The camera is controlled by software based on the raspberry and is positioned at the front end of the inner side of the cover plate of the barrel cover, when the barrel cover is opened, the camera just aims at the rotary opening and closing workbench, and after a signal that garbage is lost is received, the flash lamp is started to shoot to obtain a garbage photo.

The rotary opening and closing workbench is controlled by software based on the raspberry group, the gravity sensor is arranged on the lower side of the rotary opening and closing workbench, a feedback signal can be sensed after garbage is thrown in, photographing is carried out, the rotary opening and closing workbench rotates to open after a signal of classification completion is received, and the garbage falls down.

The garbage classification device is connected to a servo motor at the bottom through a shaft and is controlled by software based on a raspberry group. And after obtaining the garbage photo, the raspberry group carries out image preprocessing, and a neural network based on a Pythrch library is used for identifying the image, and after obtaining a classification result, a servo motor is triggered to drive the garbage classification device to rotate to a correct position.

The beneficial effect of this patent is: combine intelligent recognition and mechanical classification mechanism, send control to accomplish rubbish automatic classification's core function based on the raspberry, the simple structure, space utilization is high, degree of automation is high, interior bucket seals the peculiar smell when out of work few, and power device only needs to drive rubbish classification device's rotation, the power consumption is few, and is with low costs, different specifications are applicable to the family, different life scenes such as offices, both solve the difficulty that people's rubbish was differentiateed, the convenient life, the accurate classification of rubbish has also been realized, do benefit to the recovery processing of rubbish.

Drawings

Figure 1 is an isometric view of the patent.

Fig. 2 is an exploded view of the structure of the patent.

Fig. 3 is an internal and external structure view of the inner barrel of the patent.

Fig. 4 is a structural view of the rotary opening and closing table of the present patent.

Shown in FIG. 2: 1-an outer barrel; 2-inner barrel; 3-intelligently identifying a camera; 4-touching the cover opening device; 5-barrel cover; 6, rotating the opening and closing workbench; 7-a waste sorting device; 8-raspberry pi control board and partial circuit; 9-a servo motor; 16-cover plate. Shown in FIG. 3: 2-inner barrel; 6, rotating the opening and closing workbench; 7-a waste sorting device; 9-a servo motor; 14-smooth guide plate. Shown in FIG. 4: 10-upper rotating cover plate; 11-rotating track grooves; 12-rotating blades; 13-lower rotating plate; 15-gravity sensor.

Detailed Description

In order to make the objects, technical solutions and advantages of the present invention more apparent, the following detailed description of the present invention is provided with reference to the accompanying drawings and specific examples. It should be understood that the specific examples described herein are intended to be illustrative only and are not intended to be limiting.

Referring to fig. 2, an automatic garbage can sorting mechanism capable of identifying garbage categories based on core technologies such as a raspberry group control integrated machine vision technology and a deep learning technology comprises a can cover 5 (provided with a touch uncovering device 4 and a camera 3), a rotary opening and closing workbench 6, an outer barrel 1, a four-grid inner barrel 2, a garbage sorting device 7, a raspberry group control board and partial circuit 8 and a servo motor 9. When a hand triggers the touch cover opening device 4, the raspberry group control panel and the partial circuit 8 control the cover plate 5 to contract, the cover plate is opened, at the moment, garbage is thrown into the rotary opening and closing workbench 6, the gravity sensor 15 receives signals and feeds back the signals, the raspberry group control panel and the partial circuit 8 preprocesses the obtained images, the images are identified by a neural network based on a Pythroch library to obtain a classification result, the servo motor 9 is driven to drive the garbage classification device 7 to rotate to a correct position, at the moment, the rotary opening and closing workbench 6 obtains the signals of the raspberry group control panel and the partial circuit 8 and opens, the garbage falls onto the classification device 7 and slides into a correct type of the four-grid inner barrel 2 by gravity, and garbage classification is completed at one time.

As shown in fig. 4, the rotary opening and closing table is opened by controlling the upper rotary cover plate 1 and the lower rotary plate 2 to rotate relatively through the raspberry pi, and the rotary blade 3 slides in the rotary track groove 2.

The technical scope of the present invention is not limited to the contents of the specification, and modifications, equivalent substitutions, and improvements made within the spirit and principle of the present invention should be included in the scope of the present invention.

Claims

1. An automatic garbage classification barrel based on raspberry group control comprises: outer bucket (1), four interior buckets of check (2), camera (3), touching uncapping device (4), bung (5), rotatory workstation (6) that opens and shuts, waste classification device (7), raspberry group control panel and partial circuit (8), servo motor (9), its characterized in that: the cover opening device (4) is touched to the front side of the barrel cover (5), and the camera (3) is arranged at the front end of the cover plate of the barrel cover (5); the rotary opening and closing workbench (6) is arranged on the four-grid inner barrel (2), and the lower side of the rotary opening and closing workbench is provided with a gravity sensor (15); the garbage classification device (7) passes through the four-grid inner barrel (2) through a shaft and is connected with a servo motor (9); the servo motor (9) is arranged in a cylindrical space between the bottoms of the four-lattice inner barrel (2) and the outer barrel (1); the raspberry type control board and a part of the circuit (8) are arranged in the space between the square outer barrel and the round inner barrel.

2. The raspberry pi controllably based automatic trash sorting bin of claim 1, wherein: the camera (3) is installed in the front end of the inner side of a cover plate (16) of the barrel cover (5), when the cover plate (16) of the barrel cover (5) is opened, the camera (3) is aligned with the rotary opening and closing workbench (6), the raspberry-based control board and the partial circuit (8) are controlled by software, and after a signal that garbage is lost is received, the camera (3) takes a picture to obtain a garbage image.

3. The raspberry pi controllably based automatic trash sorting bin of claim 1, wherein: rotatory workstation (6) that opens and shuts is based on raspberry group control panel and partial circuit (8) by software control, and gravity sensor (15) are equipped with to the downside, can sense rubbish and lose, and after receiving the signal that the classification finished, go up rotating cover board (10) and lower rotating plate (13) relative rotation, rotating vane (12) slide in the same direction as rotatory track groove (11) to rotatory workstation (6) that opens and shuts is opened, and rubbish falls.

4. The raspberry pi controllably based automatic trash sorting bin of claim 1, wherein: garbage classification device (7) are connected in servo motor (9) of bottom, and servo motor (9) can drive garbage classification device (7) and rotate to the correct position, garbage classification device (7) are the integrative structure of class hourglass hopper-shaped that a lower part one side opening and be connected with smooth deflector (14), can drop down with its leading-in correct classification.