KR20100067278A - Automatic choice means of recycling items - Google Patents

Automatic choice means of recycling items Download PDF

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Publication number
KR20100067278A
KR20100067278A KR1020080125759A KR20080125759A KR20100067278A KR 20100067278 A KR20100067278 A KR 20100067278A KR 1020080125759 A KR1020080125759 A KR 1020080125759A KR 20080125759 A KR20080125759 A KR 20080125759A KR 20100067278 A KR20100067278 A KR 20100067278A
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South Korea
Prior art keywords
recycled
recycled product
information
product
type
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KR1020080125759A
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Korean (ko)
Inventor
오정후
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(주)아이이에스
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Priority to KR1020080125759A priority Critical patent/KR20100067278A/en
Publication of KR20100067278A publication Critical patent/KR20100067278A/en

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    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B07—SEPARATING SOLIDS FROM SOLIDS; SORTING
    • B07C—POSTAL SORTING; SORTING INDIVIDUAL ARTICLES, OR BULK MATERIAL FIT TO BE SORTED PIECE-MEAL, e.g. BY PICKING
    • B07C5/00—Sorting according to a characteristic or feature of the articles or material being sorted, e.g. by control effected by devices which detect or measure such characteristic or feature; Sorting by manually actuated devices, e.g. switches
    • B07C5/16—Sorting according to weight
    • B07C5/18—Sorting according to weight using a single stationary weighing mechanism
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B07—SEPARATING SOLIDS FROM SOLIDS; SORTING
    • B07C—POSTAL SORTING; SORTING INDIVIDUAL ARTICLES, OR BULK MATERIAL FIT TO BE SORTED PIECE-MEAL, e.g. BY PICKING
    • B07C5/00—Sorting according to a characteristic or feature of the articles or material being sorted, e.g. by control effected by devices which detect or measure such characteristic or feature; Sorting by manually actuated devices, e.g. switches
    • B07C5/34—Sorting according to other particular properties
    • B07C5/3404—Sorting according to other particular properties according to properties of containers or receptacles, e.g. rigidity, leaks, fill-level
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B07—SEPARATING SOLIDS FROM SOLIDS; SORTING
    • B07C—POSTAL SORTING; SORTING INDIVIDUAL ARTICLES, OR BULK MATERIAL FIT TO BE SORTED PIECE-MEAL, e.g. BY PICKING
    • B07C5/00—Sorting according to a characteristic or feature of the articles or material being sorted, e.g. by control effected by devices which detect or measure such characteristic or feature; Sorting by manually actuated devices, e.g. switches
    • B07C5/34—Sorting according to other particular properties
    • B07C5/342—Sorting according to other particular properties according to optical properties, e.g. colour
    • B07C5/3422—Sorting according to other particular properties according to optical properties, e.g. colour using video scanning devices, e.g. TV-cameras
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B07—SEPARATING SOLIDS FROM SOLIDS; SORTING
    • B07C—POSTAL SORTING; SORTING INDIVIDUAL ARTICLES, OR BULK MATERIAL FIT TO BE SORTED PIECE-MEAL, e.g. BY PICKING
    • B07C2501/00—Sorting according to a characteristic or feature of the articles or material to be sorted
    • B07C2501/0054—Sorting of waste or refuse

Abstract

The present invention is to solve the problems of the prior art, an object of the present invention is an automatic sorting means capable of automatic sorting regardless of whether a bar code is displayed on the recycled products such as PET bottles, cans, glass bottles, paper cups, etc. Regarding, having a test stand 110 is placed on the recyclables 10 is introduced from the outside, the recyclables weighing unit for measuring the weight of the recyclables 10 placed on the test stand 100 to generate recycled weight information 100; A recycled volume measuring unit 200 for measuring recycled product volume information by measuring the volume of the recycled product 10 placed on the inspection table 110 of the recyclable weighing means 100; The recycled products 10 are classified by type, the density information is calculated by referring to the volume and weight of each recycled product 10 classified by the type, and the recycled product set density list information by type is databased, and the weight of the recycled product is measured. After generating the density information of the recycled product 10 input by using the recycled product weight information and the recycled product volume information measured by the means 100 and the recycled product volume measuring means 200, and set the recycled product density information by the type of the generated recycled product density information It consists of a recycled product type selection unit 300 for determining the type of recycled material 10 is input in contrast to the density list information.

Description

Automatic choice means of recycling items

The present invention relates to an automatic sorting means capable of automatic sorting regardless of whether a barcode is displayed on recycled articles such as PET bottles, cans, glass bottles, and paper cups.

Recyclables, such as repurposed or processed waste products, include cans, PET, glass bottles, metals, and paper. In recent years, the recycling rate of recycled products has increased due to the deterioration of the global economy due to the sharp rise in prices of raw materials and oil prices. It is growing exponentially.

To this end, waste bins scattered around the country are provided with recycling bins to encourage recycling.

In addition, since the recycling process is different depending on the type of recycled products collected through the recycling bins, the collected recycled products must be sorted by materials such as cans, PET, glass bottles, metals and paper.

However, such a recycling sorting work is generally performed by a manual work by the worker, not only takes a lot of sorting work time, but also reduces work efficiency, and thus has a problem of periodically paying employment costs according to the employment of the worker. .

It is proposed to solve this problem, 'Recyclable resource recovery method and device', which is published in Korean Patent Publication No. 1998-0043002, reads barcodes displayed on recycled products such as PET bottles, cans, and glass bottles. Judging and based on this, the problem mentioned above was solved by providing the automatic collection of recyclables.

However, despite such advantages, the conventional 'recyclable resource recovery method and apparatus' of the recycled products such as PET bottles, cans, and glass bottles are not contaminated with foreign materials or containers that are not marked with barcodes. In the case where is modified, there is a problem in that it is impossible to read the barcode and thus it is not possible to perform the separate collection.

In addition, the method of using barcodes must database a large amount of barcode information in advance, and the database management is continuously required to process new products released from beverage makers, and therefore, a considerable cost is required.

In addition, since recycled products that do not display barcodes such as paper cups cannot be collected separately, there are restrictions on use depending on the type of recycled products.

The present invention is to solve the problems of the prior art, an object of the present invention is an automatic sorting means capable of automatic selection regardless of whether a bar code is displayed on the recycled products such as PET bottles, cans, glass bottles, paper cups, etc. To provide.

As a technical idea for achieving the present invention, the automatic recycling means of the present invention has a test stand on which recyclables are put from the outside, and measures the weight of the recycled goods placed on the test stand to generate recyclable weight information. Wealth; A recycled volume measuring unit for generating recycled volume information by measuring a volume of the recycled product placed on an inspection table of the recycled product weighing means; The recycled products are classified by type, the density information is calculated by referring to the volume and weight of each recycled product classified by the type, and has the set density list information of the recycled products by type, which is databased. By using the recycled product weight information and the recycled product volume information measured in the means to generate recycled product density information indicating the bulk density of the recycled product, the recycled product input by comparing the generated recycled product density information with the recycled product set density list information by the type Recyclables type selection unit for determining the type of; consists of.

The recycled volume measuring unit includes: a camera for photographing the shape of the recycled product placed on the inspection table to obtain recycled image information; An image acquisition board that receives the recycled image information from the camera and generates recycled length information by calculating the longitudinal length and the lateral length of the recycled image that is imaged in response to the pixel value of the recycled image which is the inputted recycled image information; On the basis of the calculated longitudinal length and the transverse length of the imaged recycled product, the recycled volume information indicating the volume of the recycled product is generated by the following equation.

(Mathematical formula)

Figure 112008085288171-PAT00001

[Where x is a preset value and is the unit thickness of the recycled imaged image, and D is the lateral length of the unit thickness of the recycled image information photographed by the camera]

The inspection table has a shape of the upper and lower width so that the recycled product is placed in the shooting direction of the camera.

In addition, the recyclables automatic selection means of the present invention includes a metal detection sensor for detecting whether the recycled material is metal or non-metal when the recycled product is introduced from the outside, and generates a metal presence detection signal, provided in the recycled product sorting unit The recycling density setting information for each recycled type is databased by dividing the types of recycled materials into metals and non-metals, and the recycling type selection unit receives a metal presence detection signal output from the metal detection sensor, and inputs the received metal presence detection signal. By recognizing whether the recycled recyclables are made of metal, the type of recycled recyclables is determined in comparison with a corresponding database of the set density list information for each type divided into metal and nonmetal.

The present invention has an effect of enabling automatic selection of recycled products regardless of whether barcodes are displayed on recycled products such as PET bottles, cans, glass bottles, and paper cups.

Hereinafter, with reference to the accompanying drawings, the configuration and operation of the embodiment of the present invention will be described in detail.

Figure 1 is a schematic system configuration of the automatic recycling means of the recycling system of the present invention, Figure 2 is a cross-sectional view of the main part showing the appearance of the inspection table of the weighing means of the recycling of automatic recycling means of the present invention, Figure 3 It is a diagram showing the lateral length by unit thickness of the recycled image information photographed on the basis of the recycled length information calculated on the image acquisition board of the recycled volume measuring unit among the automatic recycling means.

As shown, the recycled automatic selection means of the present invention is composed of the weight of the recycled material 100, recycled volume measuring unit 200 and the recycling type sorting unit 300.

First, the recyclables weighing unit 100 has an inspection stand 110 on which the recycled product 10 introduced from the outside is placed, and measures the weight of the recycled product 10 placed on the inspection table 100 to determine the weight of the recycled product. As the member to be produced, an electronic balance can be used. These electronic scales can measure up to 1/100 (g) or more, which ensures high precision of the weight of recycled products. In addition, in order to alleviate the impact generated in the process of dropping the recycled product (10) from the outside, the material of the inspection table 110 is to use a material having excellent elasticity and cushioning force, such as a soft rubber material or a foamed plastics series. desirable.

The recycled volume measuring unit 200 is a member for measuring the volume of the recycled product 10 placed on the test bench 110 of the recyclable weighing means 100 in liter (L) units to generate recycled volume information. Receiving the recycled image information from the camera 210 and the camera 210 to obtain the recycled image information by photographing the shape of the recycled product 10 placed on the inspection table 110, the input recycled image information An image acquisition board 220 for generating recycled length information by calculating a longitudinal length and a lateral length of the recycled product imaged in response to a pixel value of the recycled recycled image; and including the calculated length and lateral length of the imaged recycled product. Based on Equation 1, recycled product volume information representing a volume of the recycled product is generated.

(Mathematical formula)

Figure 112008085288171-PAT00002

[Where x is a preset value and is the unit thickness of the recycled imaged image, and D is the lateral length of the unit thickness of the recycled image information photographed by the camera]

Here, the camera 210 may be configured as a CCD (Charge-Coupled Device) camera for converting the signal of the light into an electrical signal, the above-mentioned so that the recycled product 10 from the outside can be placed in the desired shooting direction The inspection table 110 of the recyclable weighing means 100 is manufactured and provided to have a shape of ordinary light.

Here, the upper and lower widths of the recyclable weighing means 100, the inspection table 110 may be manufactured to have a V-shape, as shown in the figure.

And the measuring principle of the recycled product length information of the image acquisition board 220 is based on the machine vision (machine vision) technology that is applied to the inspection or classification of the product by analyzing and processing the image information obtained from the camera. This process of machine vision is divided into image acquisition and digitizing, image processing and analysis, and interpretation.

First, image capture and digitizing are performed using a camera and digitizing system, and the image contour, area characteristics, and surface characteristics (texture and color) are determined. That is, image capture and digitization are obtained by representing the viewing area as a matrix of picture elements (pixels). For example, in the case of binary vision, the light intensity of each pixel has two values, black or white, and in the case of gray-scale, the shades of gray are distinguished according to the image intensity value. Can be stored.

Segmentation can be used as a technique for processing and analyzing these digitized images. Segmentation techniques are used to organize and separate regions of interest in an image, such as thresholding and edge detection.

First, the thresholding converts the intensity level of each pixel to a binary value representing white or black, and compares the intensity value of each pixel with a defined threshold value so that the pixel value is equal to the threshold value ( threshold is greater than 1 (white), and if the pixel value is less than the threshold (zero), it is converted to 0 (black), thereby defining and identifying the object in the image.

Edge detection, on the other hand, is a method for determining a boundary between an object and its surroundings in an image, and detects a boundary of an object by identifying a contrast of light intensities existing between adjacent pixels.

After such image processing and analysis, an image interpretation process is performed. Image analysis extracts image features (e.g., area / length, width, diameter / circumference, center, aspect ratio) that are considered to correspond to an object or a part constituting it in the image. Then, after obtaining the attributes of the extracted image features and the relationship therebetween, a desired value can be obtained by determining which part of which recognition object the image feature corresponds to.

The recycled product sorting unit 300 classifies the recycled products 10 by type, calculates density information by referring to the volume and weight of each recycled product 10 classified by the type, and sets the density of recycled products for each typed database. Recyclables density information indicating the bulk density of the injected recycled product 10 is generated by using the list information and using the recycled product weight information and the recycled product volume information measured by the recycled product weighing means 100 and the recycled product volume measuring means 200. Thereafter, the generated recycled product density information is compared with the recycled item set density list information for each type to determine the type of the recycled product.

Table 1 below lists some of the recycled materials 10 (PET bottles, cans, glass bottles and paper cups, etc.) that are mainly collected from the recycled product list stored in the recycled item density list information for each type.

Recycled Type Volume (ℓ) Weight (g) Recycled goods
Setting density
(g / ℓ) PET Bottle 0.5L 0.5 20 40 2.0L 2 101 51 Cans Beverage (Steel) 0.25 20 80 Beverage (aluminum) 0.25 11.7 47 Fuel (Steel) 0.5 98 196 glass bottle 0.1 119 1190 Paper cup 0.2 3.5 18

That is, the recycled product sorting unit 300 is the weight of the recycled product having a unit of gram (g) for the volume information of the recycled product having a unit of liter (L) among the information input from the recycled product weighing means 100 and the recycled product volume measuring means 200. The recycling density information generated by dividing the information is matched with the recycling density setting information of each type. The recycled product sorting unit 300 recognizes the type of the recycled product 10 corresponding to the set density of the recycled product extracted by matching, and discharges (or loads) the discharged (or loaded) type of the recycled product 10. Control to be transferred to.

In addition, the recycled product sorting unit 300 controls to select a recycled product having a recycled product density setting corresponding to the closest value among the recycled product density list information for each type of recycled product density information generated when there is no matching recycled product set density.

As such, there is a reason that there is a mismatch between the generated goods product density information and the type of recycled product set density information. In the case of PET bottles, a cylindrical shape is mostly or in some cases, a rectangular shape. For this reason, an error occurs when calculating the density of the recycled product 10 introduced from the outside using a mathematical formula, but the range of the error is close to the set density of the recycled product of the standardized PET bottle. Type can be selected.

In addition, in the present invention for more accurate sorting of the recycled product 10, in the present invention, when the recycled product 10 is introduced from the outside, the inputted recycled product 10 is a metal or a non-metal, thereby generating a metal detection signal. Also provided with a sensor (not shown), and the type of recycling setting density information for each type provided in the recycling type sorting unit 300 is divided into metal and non-metallic database of the type of recycled material 10, recycling type sorting unit The 300 receives the metal presence detection signal output from the metal detection sensor, and recognizes whether the metal of the recycled product 10 is input by the input metal presence detection signal, and the recycled product according to the type divided into metal and nonmetal. The type of the recycled product 10 is determined in comparison with a corresponding database of the set density list information.

As described above, the main reason for discriminating the metal or non-metal of the recycled recyclable material 10 is as shown in Table 1, because the difference in the set density of the recycled product between the 2.0 L PET bottle and the aluminum can is a slight difference of about 4 g / L. This is to prevent screening errors that may be caused by such a slight difference in advance.

Such a metal detection sensor may use a sensor for detecting whether metal is used by using magnetic force.

1 is a schematic system configuration of the automatic recycling means of the present invention,

2 is a cross-sectional view showing the main shape of the inspection table of the weighing means of the recyclables of the automatic recycling means for recycling of the present invention;

3 is a diagram illustrating the lateral length for each unit thickness of the recycled image information photographed on the basis of the recycled length information calculated by the image acquisition board of the recycled volume measuring unit of the automatic recycling means of the present invention.

<Code Description of Main Parts of Drawing>

10: recycled material 100: recyclables weighing unit

110: inspection table 200: recycling volume measurement unit

210: camera 220: image acquisition board

300: Recycling product sorting unit

Claims (4)

Recyclables having a test stand 110 is placed on the recycled product 10 is put from the outside, Recyclables weighing unit 100 for measuring the weight of the recycled product 10 placed on the test table 100 to generate recycled weight information; ; A recycled volume measuring unit 200 for measuring recycled product volume information by measuring the volume of the recycled product 10 placed on the inspection table 110 of the recyclable weighing means 100; The recycled products 10 are classified by type, the density information is calculated by referring to the volume and weight of each recycled product 10 classified by the type, and the recycled product set density list information by type is databased, and the weight of the recycled product is measured. By using the recycled product weight information and the recycled product volume information measured by the means 100 and the recycled product volume measuring means 200 to generate recycled product density information indicating the bulk density of the recycled product 10, the generated recycled product density Recyclables sorting means consisting of; recyclables sorting unit 300 for judging the type of the recycled product (10) by carefully comparing the information with the density setting information of the recycled goods set by type. The method of claim 1, The recycled product volume measuring unit 200 includes a camera 210 for capturing the shape of the recycled product 10 placed on the inspection table 110 to obtain recycled image information; An image acquisition board which receives recycled image information from the camera 210 and generates recycled length information by calculating a longitudinal length and a lateral length of the recycled image which is imaged in response to a pixel value of the recycled image which is the inputted recycled image information ( 220); including, And recyclable product sorting means for generating recycled volume information indicating the volume of the recycled product, based on the calculated longitudinal length and lateral length of the imaged recycled product. (Mathematical formula)
Figure 112008085288171-PAT00003
 [Where x is a preset value and is the unit thickness of the recycled imaged image, and D is the lateral length of the unit thickness of the recycled image information photographed by the camera] The method according to claim 1 or 2, When the recycled product 10 is introduced from the outside, the inputted recycled product 10 is a metal or non-metal, and detects whether the metal includes a metal sensor for generating a detection signal, The recycled product set density list information for each type provided in the recycled product sorting unit 300 is classified into a database of the type of recycled material 10 into a metal and a non-metal, The recycled product sorting unit 300 receives a metal presence detection signal output from the metal detection sensor, and recognizes whether the recycled product 10 is metal by using the input metal presence detection signal. Recyclables automatic selection means, characterized in that for judging the type of the recycled product (10) in comparison with the corresponding database of the recycled item density setting information for each type divided by. The method according to claim 1 or 2, The inspection table 110 is an automatic recycling means, characterized in that it has a shape of the upper and lower width so that the recycled product 10 is placed in the shooting direction of the camera.
KR1020080125759A 2008-12-11 2008-12-11 Automatic choice means of recycling items KR20100067278A (en)

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Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR101410729B1 (en) * 2013-02-12 2014-06-24 한국쓰리알환경산업(주) System for subdividing recycle nonferrous metal waste with different kind materials seperation type
KR101537486B1 (en) * 2014-10-28 2015-07-16 배응준 Detachable type automatic identification apparatus for recycling bin
WO2018216948A1 (en) * 2017-05-26 2018-11-29 수퍼빈 주식회사 System and method for complex object recognition on basis of artificial neural network analysis
KR102088137B1 (en) * 2019-09-05 2020-03-11 변형완 Device and method for selecting humate from lump coal

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR101410729B1 (en) * 2013-02-12 2014-06-24 한국쓰리알환경산업(주) System for subdividing recycle nonferrous metal waste with different kind materials seperation type
KR101537486B1 (en) * 2014-10-28 2015-07-16 배응준 Detachable type automatic identification apparatus for recycling bin
WO2018216948A1 (en) * 2017-05-26 2018-11-29 수퍼빈 주식회사 System and method for complex object recognition on basis of artificial neural network analysis
KR102088137B1 (en) * 2019-09-05 2020-03-11 변형완 Device and method for selecting humate from lump coal

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