CN207618355U - A kind of down town intelligent classification dustbin - Google Patents
A kind of down town intelligent classification dustbin Download PDFInfo
- Publication number
- CN207618355U CN207618355U CN201721780650.8U CN201721780650U CN207618355U CN 207618355 U CN207618355 U CN 207618355U CN 201721780650 U CN201721780650 U CN 201721780650U CN 207618355 U CN207618355 U CN 207618355U
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- dustbin
- module
- dustbin ontology
- support board
- fan
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02W—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO WASTEWATER TREATMENT OR WASTE MANAGEMENT
- Y02W30/00—Technologies for solid waste management
- Y02W30/10—Waste collection, transportation, transfer or storage, e.g. segregated refuse collecting, electric or hybrid propulsion
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- Processing Of Solid Wastes (AREA)
Abstract
The utility model discloses a kind of down town intelligent classification dustbins, including cylindrical dustbin ontology, it is provided with infrared induction module on the upper top cover of dustbin ontology, fan-shaped support board is provided in dustbin ontology, it is provided with V-arrangement baffle above two sides of fan-shaped support board, dustbin ontology is provided with the first servo motor for driving the fan-shaped support board to be rotated along dustbin ontology axle center and the second servo motor for driving V-arrangement baffle to be rotated along dustbin ontology axle center, the inner wall of dustbin ontology is provided with camera and LED light, it is connected with parting plate on dustbin ontology bottom surface, the veneer that parting plate is connected together by three sides forms, it is provided with sensor detection module on fan-shaped support board, single-chip minimum system module is provided in dustbin ontology, Raspberry Pi and power module.A kind of down town intelligent classification dustbin of the utility model can be directed to the common rubbish type in down town, in such a way that sensor detection and image recognition are combined, realize that the automatic of rubbish is put on by classification.
Description
Technical field
The utility model is specifically related to a kind of down town intelligent classification dustbin, belongs to Intelligent refuse classification processing dress
Set research field.
Background technology
With the development of social economy and the migration trend of population, the house refuse of large- and-medium size cities increases year by year, at present
Most large- and-medium size cities face very big predicament in domestic rubbish disposal.In view of people to the increasingly heavy of ecological environmental protection
Depending on the classification processing of house refuse is gradually taken seriously.Since two thousand, Beijing, Shanghai, Guangzhou, Nanjing etc. are 8 large and medium-sized
City is each comfortable to encourage on resident classifies to house refuse, to be made that various trials all in accordance with characteristic of city.For example, occupying
The people can be by scanning the Quick Response Code on refuse bag, and integral of swiping the card after correct sorting rubbish is to exchange corresponding reward for.However, more than ten
Year goes over, and effective implementation is not yet received in garbage classification, traces it to its cause：Resident is not comprehensive enough to the understanding of garbage classification knowledge.
Therefore, it is necessary to design a kind of garbage classification device, it can realize the automatic classification of rubbish and realize the general of garbage classification knowledge
And education, to realize the all-round popularization of garbage classification.
It is found through social investigation, some large-scale public arenas in down town, such as market, park, pedestrian abandon rubbish
Rubbish has following characteristics：Based on the single rubbish of single dispensing, and the recyclable rubbish abandoned is with waste paper, plastic products, glass system
Based on product, metal product etc., recyclable rubbish is not based on pericarp, swill, used paper handkerchief.
Utility model content
The technical problems to be solved in the utility model, which is to provide one kind, can be directed to the common rubbish type in down town, adopt
The mode being combined with sensor detection and image recognition, realizes the down town intelligent classification of rubbish put on by classification automatically
Dustbin.
In order to solve the above technical problems, the technical solution adopted in the utility model is：
A kind of down town intelligent classification dustbin, including cylindrical dustbin ontology, the dustbin ontology
Upper top cover offers sector open, and infrared induction module is provided on the upper top cover, is located in the dustbin ontology described
Fan-shaped support board is provided with below sector open, the central angle of the sector support board is 120 degree, the two of the sector support board
Be provided with above side V-arrangement baffle, the radius of the sector support board and the length on described arbitrary one side of V-arrangement baffle with it is described
The internal diameter of dustbin ontology is equal, and the dustbin ontology, which is provided with, drives the fan-shaped support board along the dustbin ontology
The first servo motor of axle center rotation and the second servo electricity for driving the V-arrangement baffle to be rotated along dustbin ontology axle center
Machine, the inner wall of the dustbin ontology and is provided with camera and LED light, the dustbin above the fan-shaped support board
It is connected with parting plate on ontology bottom surface, the parting plate is connected together by three sides and length and the dustbin ontology internal diameter
Identical veneer forms, and the angle between veneer described in any two is 120 degree, and the sector support board is located therein two
The surface for the cavity structure that the veneer is formed is provided with sensor detection module, the rubbish on the sector support board
Single-chip minimum system module, Raspberry Pi and power module, the power module and the infrared induction are provided in bucket ontology
Module, single-chip minimum system module, Raspberry Pi, sensor detection module, first servo motor, the second servo motor, camera shooting
Head and LED light are electrically connected, and the Raspberry Pi is connected with the camera, the Raspberry Pi and the single-chip minimum system module
It is connected, the sensor detection module is connected with the single-chip minimum system module, the infrared induction switch and the list
Piece machine minimum systematic module is connected, the single-chip minimum system module and the first servo motor, the second servo motor phase
Even.
The sensor detection module includes inductance approach switch, color sensor, the first capacitive approach switch,
Two capacitive approach switches and third capacitive approach switch.
The number of the camera and LED light is 2.
The inductance approach switch, color sensor, the first capacitive approach switch, the second capacitive approach switch and
The embedment position of third capacitive approach switch is located on the circle that radius is 60mm.
The power module is made of accumulator, solar panel and controller, and the accumulator is placed on the rubbish
The bottom region of rubbish bucket ontology, the solar panel are located at dustbin outer body surface, and the accumulator carries
Required electric energy when being run for whole system, the solar panel are then charged by the controller for the accumulator.
Its border is provided with osculum on the sector support board.
The beneficial effects of the utility model：A kind of down town intelligent classification dustbin provided by the utility model leads to
Cross infrared induction module, sensor detection module, picture recognition module, mechanical module, single-chip minimum system module and power supply
The structure design of module will via the positive and negative rotation of microcontroller control servomotor by sensor and image recognition rubbish attribute
Rubbish is thrown in corresponding loading area, and the automatic classification of rubbish is realized based on artificial intelligence, improves the effect of garbage classification
The recovery utilization rate of rate and rubbish.
Description of the drawings
Fig. 1 is module connection figure in a kind of down town intelligent classification dustbin of the utility model；
Fig. 2 is a kind of structural schematic diagram of down town intelligent classification dustbin of the utility model；
Fig. 3 be the utility model a kind of down town intelligent classification dustbin in support board structural schematic diagram.
Specific implementation mode
The utility model is further described below in conjunction with the accompanying drawings, following embodiment is only used for clearly illustrating this
The technical solution of utility model, and the scope of protection of the utility model cannot be limited with this.
As shown in Figure 1, a kind of down town of the utility model intelligent classification dustbin, by infrared induction module, passes
Sensor detection module, picture recognition module, mechanical module, microcontroller and power module composition.Infrared induction module is for examining
Survey the action that pedestrian loses rubbish, output switching signal to microcontroller, the work to control system and suspend mode；Sensor is examined
Physical attribute of the module based on different rubbish is surveyed, inductance type is utilized respectively and capacitive approach switch realizes rubbish type identification；
Picture recognition module identifies rubbish classification based on image recognition algorithm；Mechanical module be based on three casees rotary type garbage barrel structures and
Servo motor, it is ensured that identified rubbish arrives corresponding loading area by automatic launch；Single-chip minimum system module receives and handles
The information of infrared induction module, sensor detection module and picture recognition module, and comprehensive garbage classification recognition result, control machine
The servo motor of tool module realizes corresponding action, and rubbish is thrown to corresponding loading area；Power module is then used for system power supply.
As shown in Fig. 2, a kind of down town intelligent classification dustbin, including cylindrical dustbin ontology 1, dustbin
The upper top cover 11 of ontology 1 offers sector open 111, infrared induction sensing module 2 is provided on upper top cover 11, by human body heat-releasing
Electric infrared induction switch HC-SR501 compositions, induction range can be adjusted as needed.Under standby mode, infrared induction mould
Block 2 transmits low level signal to microcontroller；When pedestrian loses rubbish to dustbin, infrared induction module 2 is then transmitted to microcontroller
High level signal.
It is located at 111 lower section of sector open in dustbin ontology 1 and is provided with fan-shaped support board 12, the center of circle of fan-shaped support board 12
Angle is 120 degree, and V-arrangement baffle 5, radius and the V-arrangement gear of fan-shaped support board 12 are provided with above two sides of fan-shaped support board 12
The length on 5 arbitrary one side of plate is equal with the internal diameter of dustbin ontology 1, and V-arrangement baffle 5 is vertically arranged with fan-shaped support board 12 and V-arrangement
The lower end of baffle 5 is located at the surface on 12 both sides of fan-shaped support board.The inner wall of dustbin ontology 1 and on fan-shaped support board 12
Side is provided with camera 3 and LED light 4, and the number of camera 3 and LED light 4 is 2, and raspberry is provided in dustbin ontology 1
Group, two cameras, two LED light and Raspberry Pi form picture recognition module, a LED light are respectively installed by two cameras,
Raspberry Pi is mounted on dustbin middle and lower part.Since camera is mounted on the inside of dustbin, there are light source not foot phenomenons, to ensure to take the photograph
As the quality of head acquisition photo, using LED light light filling；The image transmitting of camera acquisition is to Raspberry Pi, using being instructed in Raspberry Pi
The classification for the image recognition algorithm identification article perfected, and sorting signal is transmitted to single-chip minimum system module.
It is connected with parting plate 6 on 1 bottom surface of dustbin ontology, parting plate 6 is connected together by three sides and length and rubbish
The identical veneer 61 of bucket 1 internal diameter of ontology forms, and the angle between any two veneer 61 is 120 degree.Fan-shaped support board 12 and V-type
Baffle 5 is free to rotate, and its initial position is respectively positioned on 111 lower section of sector open.It is fan-shaped that drive is provided in dustbin ontology 1
The first servo motor and drive V-arrangement baffle 5 along 1 axis of dustbin ontology that support board 12 is rotated along 1 axle center of dustbin ontology
Second servo motor of heart rotation.
As shown in Figure 1, forming loading area between parting plate 6 and dustbin ontology 1, loading area is divided into three by three veneers 61
A region, including recyclable area A, can not recovery area B and can not cog region C.The fan-shaped support board 12 of servo motor driving and V-type gear
Plate 5 rotates, and rubbish is put into different loading areas.For example, if rubbish is Recyclable, first servo motor drives fan-shaped loading
Plate 12 rotates clockwise 120 ° and V-baffle 5 is motionless, by rubbish Input area A；If rubbish is not Recyclable, the second servo
Motor driving V-shaped baffle 5 rotates clockwise 120 °, and fan-shaped support board 12 is motionless, by rubbish Input area B；If rubbish classification category
Property not can recognize that, then the second servo motor driving V-shaped baffle 5 120 ° of rotation counterclockwise, fan-shaped support board 12 is motionless, and rubbish is thrown
Enter region C.After the completion of dispensing, V-baffle 5 and fan-shaped support board 12 are reset to initial position.
Fan support board 12 is located therein the surface of the cavity structure of two veneers 61 formation, is arranged on fan-shaped support board 12
There is sensor detection module, single-chip minimum system module, Raspberry Pi and power module, raspberry are provided in dustbin ontology 1
Group is connected with camera 3, and Raspberry Pi is connected with microcontroller, and sensor detection module is connected with microcontroller, and the infrared induction is opened
It closes 2 with the microcontroller to be connected, microcontroller is connected with the first servo motor, the second servo motor.Mechanical module is by staving
It is formed with servo motor.Single-chip minimum system module mainly by 89C51 singlechip groups at,
The sensor that sensor detection module can detect different objects attribute by 5 forms.At the center of fan-shaped support board
Region by radius be 60mm circumference be embedded to 5 sensors, respectively inductance approach switch 121, color sensor 122,
First capacitive approach switch 123, the second capacitive approach switch 124, third capacitive approach switch 125, fan-shaped support board
Its border is provided with osculum 126 on 12, as shown in Figure 3.Wherein, inductance approach switch LJ12A3-4-Z is for detecting
Whether object is metal material；Whether color sensor TSC3200 is coloured pericarp for detection object；Three condenser types
Close to switch, whether detection object is plastics, paper and glass respectively.These sensors are connected with microcontroller, when detecting
When having corresponding attribute article, high level signal is exported to the corresponding ports of microcontroller.
Power module and infrared induction module 2, single-chip minimum system module, Raspberry Pi, sensor detection module, first
Servo motor, the second servo motor, camera 3 and LED light 4 are electrically connected, and power module is by accumulator, controller and solar-electricity
Pond board group at.Accumulator is placed on the bottom of babinet with the center of reducing, and solar panel is placed on babinet outer surface.Work
As when be all made of storage battery power supply, while carrying out solar power generation using photoelectric effect, filled to accumulator after via controller processing
Electricity, ensures the stability of electric energy supply, and plays the role of energy-saving and environment-friendly.
Single-chip minimum system module is the core of entire control system, it receives and processing comes from infrared induction mould
Block, sensor detection module, the information of picture recognition module, and the operation of control machinery module.When dustbin does not work, it is in
Standby mode, i.e. sensor detection module, picture recognition module and mechanical module are all in idle or low power consumpting state.Below
To dustbin, how the course of work launched by single-chip minimum system module realization automatic garbage classification briefly describes.
First, microcontroller receives and handles the information from infrared induction switch.When pedestrian loses rubbish to staving, monolithic
Machine receives the high level signal from infrared induction switch, opens the operating mode of entire dustbin；When continuous 30 seconds without row
When people loses rubbish to staving, microcontroller makes the various pieces of dustbin enter standby mode, with energy saving.Standby mode
Under, microcontroller but still all internal state and memory content can be kept, so ought detect that pedestrian loses to staving again
When rubbish, microcontroller can be waken up in a few seconds.
Then, microcontroller receives and object information of the integrated treatment from sensor detection module and picture recognition module.
When each sensor detects the presence of the object of corresponding attribute, output switching signal to the corresponding I/O interfaces of microcontroller, microcontroller
By identifying that the variation of port signal determines rubbish classification.Equally, the rubbish classification information that Raspberry Pi will identify that is exported to list
Piece machine.If sensor detection module and picture recognition module differentiate that rubbish type is recyclable, microcontroller exports rubbish class
It Wei not recyclable rubbish；Similarly, if two modules differentiate that rubbish type is not recyclable, microcontroller exports rubbish classification
For not recyclable rubbish；Conversely, when if the output result of two modules is inconsistent, microcontroller output rubbish classification is that not can recognize that
Rubbish.
Then, microcontroller receives and handles the operation of control machinery module.Microcontroller is integrated according to rubbish category attribute and is tied
Fruit sends the pwm signal in different channels, controls the rotating forward or reversion of motor, and control V-baffle and fan-shaped support board rotate,
Rubbish is swept into corresponding loading area.
Undeclared part involved in the utility model is same as the prior art or is realized using the prior art.
The above is only the preferred embodiment of the utility model, it should be pointed out that：For the common skill of the art
For art personnel, without departing from the principle of this utility model, several improvements and modifications can also be made, these improve and
Retouching also should be regarded as the scope of protection of the utility model.
Claims (6)
1. a kind of down town intelligent classification dustbin, it is characterised in that：Including cylindrical dustbin ontology（1）, described
Dustbin ontology（1）Upper top cover（11）Offer sector open（111）, the upper top cover（11）On be provided with infrared induction mould
Block（2）, the dustbin ontology（1）It is interior to be located at the sector open（111）Lower section is provided with fan-shaped support board（12）, the fan
Shape support board（12）Central angle be 120 degree, the fan-shaped support board（12）Two sides above be provided with V-arrangement baffle（5）, institute
State fan-shaped support board（12）Radius and the V-arrangement baffle（5）The length on arbitrary one side and the dustbin ontology（1）It is interior
Diameter is equal, the dustbin ontology（1）It is provided with and drives the fan-shaped support board（12）Along the dustbin ontology（1）Axle center
The first servo motor and the drive V-arrangement baffle of rotation（5）Along the dustbin ontology（1）Second servo of axle center rotation
Motor, the dustbin ontology（1）Inner wall and positioned at the fan-shaped support board（12）Top is provided with camera（3）And LED
Lamp（4）, the dustbin ontology（1）Parting plate is connected on bottom surface（6）, the parting plate（6）It is connected together by three sides
And length and the dustbin ontology（1）The identical veneer of internal diameter（61）It forms, the veneer described in any two（61）Between
Angle is 120 degree, the sector support board（12）It is located therein two veneers（61）The surface of the cavity structure of formation,
The sector support board（12）On be provided with sensor detection module, the dustbin ontology（1）Inside it is provided with microcontroller minimum
System module, Raspberry Pi and power module, the power module and the infrared induction module（2）, single-chip minimum system mould
Block, Raspberry Pi, sensor detection module, first servo motor, the second servo motor, camera（3）And LED light（4）It is electrically connected,
The Raspberry Pi and the camera（3）It is connected, the Raspberry Pi is connected with the single-chip minimum system module, the sensing
Device detection module is connected with the single-chip minimum system module, the infrared induction module（2）With microcontroller minimum system
Module of uniting is connected, and the single-chip minimum system module is connected with the first servo motor, the second servo motor.
2. a kind of down town intelligent classification dustbin according to claim 1, it is characterised in that：The sensor inspection
It includes inductance approach switch to survey module（121）, color sensor（122）, the first capacitive approach switch（123）, second electricity
The close switch of appearance formula（124）With third capacitive approach switch（125）.
3. a kind of down town intelligent classification dustbin according to claim 1, it is characterised in that：The camera
（3）And LED light（4）Number be 2.
4. a kind of down town intelligent classification dustbin according to claim 2, it is characterised in that：The inductance type connects
Nearly switch（121）, color sensor（122）, the first capacitive approach switch（123）, the second capacitive approach switch（124）With
Third capacitive approach switch（125）Embedment position be located at radius be 60mm circle on.
5. a kind of down town intelligent classification dustbin according to claim 1, it is characterised in that：The power module
It is made of accumulator, solar panel and controller, the accumulator is placed on the dustbin ontology（1）Bottom area
Domain, the solar panel are located at the dustbin ontology（1）Outer surface, when the accumulator provides whole system operation
Required electric energy, the solar panel are then charged by the controller for the accumulator.
6. a kind of down town intelligent classification dustbin according to claim 1, it is characterised in that：The sector loading
Plate（12）On its border is provided with osculum（126）.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201721780650.8U CN207618355U (en) | 2017-12-19 | 2017-12-19 | A kind of down town intelligent classification dustbin |
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|---|---|---|---|
| CN201721780650.8U CN207618355U (en) | 2017-12-19 | 2017-12-19 | A kind of down town intelligent classification dustbin |
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| CN207618355U true CN207618355U (en) | 2018-07-17 |
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ID=62819961
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Cited By (16)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109264255A (en) * | 2018-10-17 | 2019-01-25 | 天津大学 | Device is transformed in intelligent classification tradition dustbin based on comprehensive identification |
| CN109305490A (en) * | 2018-10-14 | 2019-02-05 | 天津大学 | A kind of Intelligent classification dustbin based on image recognition technology |
| CN109516037A (en) * | 2019-01-25 | 2019-03-26 | 李�昊 | A kind of classification garbage can based on machine vision |
| CN109625680A (en) * | 2019-01-28 | 2019-04-16 | 中国地质大学（武汉） | A kind of intelligent recognition classification recycling dustbin |
| CN109703937A (en) * | 2018-12-26 | 2019-05-03 | 泰州职业技术学院 | Intelligent garbage bin |
| CN110228673A (en) * | 2019-04-17 | 2019-09-13 | 华南师范大学 | A kind of intelligent classification dustbin |
| CN110316496A (en) * | 2019-08-19 | 2019-10-11 | 浙江工业大学 | A kind of intelligent garbage identification sorter Internet-based |
| CN110466911A (en) * | 2019-04-08 | 2019-11-19 | 江西理工大学 | Automatic sorting garbage bin and classification method |
| CN110580714A (en) * | 2019-01-27 | 2019-12-17 | 刘述华 | real-time state monitoring platform |
| CN110589309A (en) * | 2019-10-28 | 2019-12-20 | 中国矿业大学 | Automatic garbage classification device and method based on machine vision |
| CN111017432A (en) * | 2019-12-11 | 2020-04-17 | 南通大学 | Dry and wet garbage separating box |
| CN111169848A (en) * | 2020-02-27 | 2020-05-19 | 东北大学秦皇岛分校 | Device and method for intelligently classifying and recycling garbage |
| CN111498344A (en) * | 2020-04-27 | 2020-08-07 | 合肥工业大学 | Novel intelligent classification garbage can and classification system thereof |
| CN111634572A (en) * | 2020-06-24 | 2020-09-08 | 沈阳大学 | Special intelligent medical waste classification device of nurse station |
| CN112478493A (en) * | 2020-12-08 | 2021-03-12 | 天津工业大学 | Household intelligent classification garbage can |
| CN114537922A (en) * | 2022-04-10 | 2022-05-27 | 罗一鸣 | Self-powered intelligent garbage classification device with propaganda and education functions |
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Cited By (17)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109305490A (en) * | 2018-10-14 | 2019-02-05 | 天津大学 | A kind of Intelligent classification dustbin based on image recognition technology |
| CN109264255A (en) * | 2018-10-17 | 2019-01-25 | 天津大学 | Device is transformed in intelligent classification tradition dustbin based on comprehensive identification |
| CN109703937A (en) * | 2018-12-26 | 2019-05-03 | 泰州职业技术学院 | Intelligent garbage bin |
| CN109516037A (en) * | 2019-01-25 | 2019-03-26 | 李�昊 | A kind of classification garbage can based on machine vision |
| CN110580714A (en) * | 2019-01-27 | 2019-12-17 | 刘述华 | real-time state monitoring platform |
| CN109625680A (en) * | 2019-01-28 | 2019-04-16 | 中国地质大学（武汉） | A kind of intelligent recognition classification recycling dustbin |
| CN110466911A (en) * | 2019-04-08 | 2019-11-19 | 江西理工大学 | Automatic sorting garbage bin and classification method |
| CN110228673A (en) * | 2019-04-17 | 2019-09-13 | 华南师范大学 | A kind of intelligent classification dustbin |
| CN110316496A (en) * | 2019-08-19 | 2019-10-11 | 浙江工业大学 | A kind of intelligent garbage identification sorter Internet-based |
| CN110589309A (en) * | 2019-10-28 | 2019-12-20 | 中国矿业大学 | Automatic garbage classification device and method based on machine vision |
| CN111017432A (en) * | 2019-12-11 | 2020-04-17 | 南通大学 | Dry and wet garbage separating box |
| CN111169848A (en) * | 2020-02-27 | 2020-05-19 | 东北大学秦皇岛分校 | Device and method for intelligently classifying and recycling garbage |
| CN111498344A (en) * | 2020-04-27 | 2020-08-07 | 合肥工业大学 | Novel intelligent classification garbage can and classification system thereof |
| CN111634572A (en) * | 2020-06-24 | 2020-09-08 | 沈阳大学 | Special intelligent medical waste classification device of nurse station |
| CN112478493A (en) * | 2020-12-08 | 2021-03-12 | 天津工业大学 | Household intelligent classification garbage can |
| CN112478493B (en) * | 2020-12-08 | 2022-09-13 | 天津工业大学 | Household intelligent classification garbage can |
| CN114537922A (en) * | 2022-04-10 | 2022-05-27 | 罗一鸣 | Self-powered intelligent garbage classification device with propaganda and education functions |
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Granted publication date: 20180717 Termination date: 20201219 |