KR102382475B1 - A waste separation and collection system using spectroscopic technique and waste classification algorithm and a method thereof - Google Patents

Abstract

The present invention discloses a waste separation and collection system and method using spectroscopic technique and a waste classification algorithm. The system comprises: a waste determination module which generates a spark to induce plasma and measures a signal strength magnitude to determine a type of an analysis target waste, when a distance between the wastes and an electrode unit is detected to be a predetermined distance or less; and a waste storage module which stores the wastes respectively into partitioned storage spaces depending on the type of the waste whose type is determined. The waste separation and collection system secures a space by replacing a separate collection space to increase convenience of residents of a public housing.

Description

A waste separation and collection system using spectroscopic technique and waste classification algorithm and a method thereof

The present invention relates to a waste separation and collection system and method, and in particular, a spectroscopic technique for classifying the type of recycled waste by generating a spark in the recycled waste and analyzing the plasma induced by this, and by measuring the magnitude of the signal intensity versus the wavelength of the plasma. It relates to a waste separation and collection system and method using a spectroscopic technique and a waste classification algorithm that can automatically classify garbage by using an algorithm to determine the type.

Korea ranks third in the OECD in terms of waste generation per unit area.

Although 70% of landfill waste can be recovered like paper, plastic, and food, the reality is that these wastes are simply landfilled and resources are wasted.

In addition, soil and groundwater are polluted due to various plastics, vinyls, etc., which are indiscriminately discarded.

Looking at the existing general waste separation and collection system, garbage is separated and discharged at home, and the manpower separates and collects the garbage directly at the garbage site or puts the garbage into a machine and separates the garbage through various processes.

Due to these various processes, waste disposal is very cumbersome, and the waste separation and collection machine is very large as a small factory because it digests several processes.

In addition, when a manpower directly separates collection (eg, tearing a garbage bag and putting it into a machine, etc.), a lot of errors occur in separate collection.

In order to reduce such inconvenience and errors, it is necessary to think about a technology that can separate and collect waste conveniently from home.

Meanwhile, the amount of waste generated in Korea per year is currently 15 million tons.

Global warming continues due to environmental pollution caused by a large amount of garbage being not properly disposed of.

In particular, in the case of public housing complexes, recycling bins or collection bags are not managed smoothly through self-management networks. there was.

In order to improve this problem, research and product development on automatic separate collection machines are in progress.

If you use an automatic sorting machine, garbage is separated automatically, so you don't have to separate and put garbage yourself. do.

In addition, scarce resources can be replaced by recycling waste through proper separation and collection, and this circulation structure is formed to reduce unnecessary production costs and waste disposal costs, thereby obtaining economic benefits.

Recently, in order to improve the efficiency of resources due to eco-friendliness or restrictions on carbon dioxide emissions, a method for collecting and separating recyclables and reducing the volume of the separated recyclables to facilitate transportation, etc. has emerged.

In addition, as the preference for eco-friendly apartments increases, the need for a smart waste separation system such as a food waste and ice pack-only collection system is increasing.

However, in small and medium-sized public housing complexes such as apartments and officetels, residents who are real residents had the inconvenience of manually classifying wastes by material and storing them in their homes before discharging them. There were problems in appearance and hygiene due to the scattering of waste bags.

Due to this, there is a statistic that the rate of re-molding through recycling due to misclassification of waste and plastics that are difficult to identify with the naked eye is only about 13% of the total waste.

In addition, incineration of wastes is a major factor in environmental problems such as air pollution, and landfilling of wastes causes a social problem of residents' refusal to select a landfill site.

In order to overcome these problems, various products have been recently developed by environment-related companies, but the conventional waste treatment technologies are subject to classification, such as recovering only two types of cans and PET bottles, or recovering only one item per product. There were very limited limitations on the items.

In addition, the size and space occupied by most of the waste treatment machines are limited, and the installation location is limited, such as a large-scale factory or industry, so there is a limit to the market expansion that can be entered.

In addition, there is a limitation in that the capacity of the waste storage space is insufficient due to the lack of a smooth waste collection system and a malfunction in which the recycling target cannot be accurately detected.

KR 10-2012561 B1 (2019.08.13)

The problem to be solved by the present invention is spectroscopy that can increase the convenience of residents of small and medium-sized public housing complexes by automatically classifying various wastes using an integrated spark generating module and spectroscopy technique and securing space by replacing the separation collection point. It is to provide a waste separation and collection system using the technique and waste fractionation algorithm.

In addition, by using a waste classification algorithm that can accurately classify various waste items in one stop, by accurately and quickly classifying various wastes that are difficult to identify with the naked eye, it is possible to improve the recycling rate of household waste and enter various markets. It is to provide a waste separation and collection system using a spectroscopic technique and a waste classification algorithm.

Another object to be solved by the present invention is to provide a waste separation and collection method using a spectroscopic technique and a waste classification algorithm for achieving the above object.

In a waste separation and collection system using a spectroscopic technique and a waste classification algorithm according to an aspect of the present invention for solving the above problems, when the distance between the wastes and the electrode part is detected to be less than a preset distance, a spark is generated to induce plasma and a waste identification module for determining the type of waste to be analyzed by measuring the signal intensity; and a waste storage module for storing each of the types of wastes in partitioned storage spaces according to the types of the identified wastes. It is characterized in that it includes.

The waste separation and collection system using a spectroscopic technique and a waste classification algorithm according to an aspect of the present invention for solving the above-described problems further includes a waste classification module for classifying the waste, the waste classification module is inputted through an inlet a sorter for sorting waste; a conveyor belt for receiving and moving the sorted wastes; and an air presser for discharging the waste to a discharge port using air pressure. It is characterized in that it includes.

The waste identification module of the waste separation and collection system using a spectroscopic technique and a waste classification algorithm according to an aspect of the present invention for solving the above-described problems includes a power supply unit for supplying a power voltage; a distance sensor detecting a distance between the wastes and the electrode; a spark generator interlocking with the distance sensor to generate a spark when waste is detected within the preset distance; a spectrometer that measures and analyzes the signal intensity magnitude of the plasma induced by the spark to determine the type of the analysis target waste; and a lens for condensing the light of the spark and transmitting it to the spectrometer through an optical fiber. It is characterized in that it includes.

The waste storage module of the waste separation and collection system using a spectroscopic technique and a waste classification algorithm according to an aspect of the present invention for solving the above-described problems is a compressor that reduces the volume by receiving approval from the waste classified by the waste identification module ; and a type-specific storage for receiving the reduced volume wastes and storing them in the partitioned storage space according to the type of waste. It is characterized in that it includes.

In a waste separation and collection method using a spectroscopic technique and a waste classification algorithm according to another aspect of the present invention for solving the above other problem, (b) when the waste identification module detects that the distance between the wastes and the electrode part is less than a preset distance, generating a spark to induce plasma, and determining the type of waste to be analyzed by measuring a signal intensity magnitude of the induced plasma; and (c) storing each of the waste storage modules in storage spaces partitioned according to the types of the identified wastes; includes

The waste separation and collection method using a spectroscopic technique and a waste classification algorithm according to another aspect of the present invention for solving the other problem further comprises (a) the waste classification module classifying the waste, the step (a) The (a-1) aligner aligning the waste input through the inlet; (a-2) a conveyor belt moving the sorted wastes in receipt of approval; and (a-3) discharging the air presser to a discharge port using air pressure; It is characterized in that it includes.

The step (b) of the waste separation and collection method using the spectroscopic technique and the waste classification algorithm according to another aspect of the present invention for solving the other problem is (b-1) the distance sensor detects the distance between the wastes and the electrode part to do; (b-2) generating, by the spark generator interlocking with the distance sensor, a spark when waste is detected within the preset distance; (b-3) the lens condensing the light of the spark and transmitting it to the spectrometer through an optical fiber; and (b-4) determining the type of waste to be analyzed by measuring and analyzing the signal intensity magnitude of the plasma induced by the spark when the spectrometer receives the focused light; It is characterized in that it includes.

In the step (b-4) of the waste separation and collection method using the spectroscopic technique and the waste classification algorithm according to another aspect of the present invention for solving the other problem, the signal intensity level is 0 to 10,000 in the case of aluminum (Al) au, 10,000 to 20,000 au for polypropylene (PP), 20,000 to 35,000 au for polystyrene (PS), 35,000 to 45,000 au for polyethylene (PE), 45,000 to 55,000 au for PET (PET) characterized.

In the step (b-4) of the waste separation and collection method using the spectroscopic method and the waste fractionation algorithm according to another aspect of the present invention for solving the other problem, aluminum (Al) cans are in the range of 600 to 700 nm As a comparison of the signal strength detected at the wavelength of , PP plastics are in the mid to late 200 nm wavelength, PS plastics are in the 500 nm wavelength range, PE plastics and PET plastics are in the 200 nm wavelength range. characterized in that it is identified.

The step (c) of the waste separation and collection method using the spectroscopic technique and the waste classification algorithm according to another aspect of the present invention for solving the other problem is (c-1) the compressor applies the wastes classified in the waste identification module receiving and compressing to reduce the volume; (c-2) storing the volume-reduced wastes in a storage space partitioned according to the type of waste by a type-specific storage unit; and (c-3) storing, by the database, matching data of the analyzed and determined type of analysis target waste and the detected signal intensity compared to the plasma wavelength; It is characterized in that it includes.

Other specific details of the invention are included in the detailed description and drawings.

According to the present invention, various separate collection items are automatically classified by type and material, and eco-friendly and convenient waste separation and collection in small and medium-sized public housing complexes such as apartments and officetels, which could not be applied due to limitations in the number of classified items and technical problems be able to do

In addition, it is possible to reduce the storage space of the conventional waste bag by compressing the waste, and it is possible to replace the conventional apartment separation collection point with a compact all-in-one product.

In addition, the recycling rate of household waste is improved, and a database on the amount of waste generated can be built and utilized as big data.

Effects of the present invention are not limited to the effects mentioned above, and other effects not mentioned will be clearly understood by those skilled in the art from the following description.

1 is a schematic configuration diagram illustrating the overall operation of a waste separation and collection system using a spectroscopic technique and a waste classification algorithm according to an embodiment of the present invention.
FIG. 2 is a configuration diagram for explaining the operation of a spark generating unit in the waste separation and collection system shown in FIG. 1 .
3 is a block diagram of the waste separation and collection system shown in FIG.
4 is a flowchart for explaining the overall operation of a waste separation and collection method using a spectroscopic technique and a waste classification algorithm according to an embodiment of the present invention.
5 is a flowchart for explaining the detailed operation of step S100 of the waste separation and collection method shown in FIG. 4 .
6 is a flowchart for explaining the detailed operation of steps S200 to S300 of the waste separation and collection method shown in FIG. 4 .
7 is a flowchart for explaining the detailed operation of step S400 of the waste separation and collection method shown in FIG. 4 .
8 is a graph of signal intensity versus plasma wavelength of the analysis target waste measured by the spectrometer in step S320 of the waste separation and collection method shown in FIG. 6 .

Advantages and features of the present invention and methods of achieving them will become apparent with reference to the embodiments described below in detail in conjunction with the accompanying drawings. However, the present invention is not limited to the embodiments disclosed below, but may be implemented in various different forms, and only the present embodiments allow the disclosure of the present invention to be complete, and those of ordinary skill in the art to which the present invention pertains. It is provided to fully understand the scope of the present invention to those skilled in the art, and the present invention is only defined by the scope of the claims.

The terminology used herein is for the purpose of describing the embodiments and is not intended to limit the present invention. In this specification, the singular also includes the plural unless specifically stated otherwise in the phrase. As used herein, “comprises” and/or “comprising” does not exclude the presence or addition of one or more other components in addition to the stated components. Like reference numerals refer to like elements throughout, and "and/or" includes each and every combination of one or more of the recited elements. Although "first", "second", etc. are used to describe various elements, these elements are not limited by these terms, of course. These terms are only used to distinguish one component from another. Accordingly, it goes without saying that the first component mentioned below may be the second component within the spirit of the present invention.

Unless otherwise defined, all terms (including technical and scientific terms) used herein will have the meaning commonly understood by those of ordinary skill in the art to which this invention belongs. In addition, terms defined in a commonly used dictionary are not to be interpreted ideally or excessively unless specifically defined explicitly.

Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings.

1 is a schematic configuration diagram illustrating the overall operation of a waste separation and collection system using a spectroscopic technique and a waste classification algorithm according to an embodiment of the present invention.

FIG. 2 is a configuration diagram for explaining the operation of the spark generator in the waste separation and collection system shown in FIG. 1 , and is a power supply unit 210 , a distance sensor 220 , a spark generator 230 , a lens 235 and a spectrometer. (240).

The spark generator 230 includes a pair of tungsten rods 231 and a pair of tongs 232 .

3 is a block diagram of the waste separation and collection system shown in FIG. 1 , and includes a waste classification module 100 , a waste identification module 200 , and a waste storage module 300 .

The waste sorting module 100 includes an aligner 110 , a conveyor belt 120 , a branch processing unit 130 , a weight sensor 140 , and an air presser 150 .

The waste identification module 200 includes a power supply unit 210 , a distance sensor 220 , a spark generator 230 , a lens 235 , and a spectrometer 240 .

The waste storage module 300 includes a compressor 310 and a storage 320 for each type.

4 is a flowchart for explaining the overall operation of a waste separation and collection method using a spectroscopic technique and a waste classification algorithm according to an embodiment of the present invention.

5 is a flowchart for explaining the detailed operation of step S100 of the waste separation and collection method shown in FIG. 4 .

6 is a flowchart for explaining the detailed operation of steps S200 to S300 of the waste separation and collection method shown in FIG. 4 .

7 is a flowchart for explaining the detailed operation of step S400 of the waste separation and collection method shown in FIG. 4 .

The operation of the waste separation and collection method using the spectroscopic technique and the waste fractionation algorithm according to an embodiment of the present invention will be schematically described with reference to FIGS. 1 to 7 .

First, the waste sorting module 100 senses the weight while aligning and moving the inputted wastes, and classifies the wastes by determining whether they are a plasma analysis target (S100).

That is, when the aligner 110 aligns the wastes inputted through the inlet in one line (S110), the conveyor belt 120 receives and moves the wastes arranged in one line (S120).

When the branch processing unit 130 disperses the moving wastes on the conveyor belt 120 ( S130 ), the weight sensor 140 detects the weight of the dispersed wastes.

When the air presser 150 is determined to be waste that is not a target of plasma analysis according to the weight detected by the weight sensor 140, it is discharged to the discharge port using air pressure.

Next, when the waste determination module 200 detects that the distance between the wastes determined to be plasma analysis targets and the electrode part is less than or equal to a preset distance, a spark is generated to induce plasma, and the magnitude of the signal intensity of the plasma induced from the spark to determine the type of waste to be analyzed (S200).

That is, the distance sensor 220 detects the distance between the wastes classified as the plasma analysis target and the electrode unit (S210), and the waste detected by the predetermined distance or less among the wastes classified as the plasma analysis target is the waste determination module 200 ), the conveyor belt 120 stops after a preset time has elapsed (S220).

The spark generating unit 230, which moves integrally in conjunction with the distance sensor 220, pauses at a point in time when waste is detected within a preset distance and generates a spark (S230).

The lens 235 positioned under the electrode condenses the spark light and transmits it to the spectrometer 240 through the optical fiber (S240).

The spectrometer 240 receives the light focused from the lens 235 and measures and analyzes the signal intensity magnitude of the plasma induced by the spark to determine the type of waste to be analyzed (S250).

Next, the waste storage module 300 compresses the classified wastes and stores them in storage spaces partitioned according to the waste types ( S300 ).

That is, the compressor 310 receives and compresses the waste classified by the waste identification module 200 to reduce the volume (S310).

The type-specific storage 320 receives the reduced volume wastes through the compressor 310 and stores them in storage spaces partitioned according to the type of waste (S320).

Meanwhile, the database stores matching data of the type of analysis target waste analyzed and determined by the spectrometer 240 and the detected signal intensity compared to the plasma wavelength.

FIG. 8 is a graph of signal intensity versus plasma wavelength of the analysis target waste measured by the spectrometer 240 in step S320 of the waste separation and collection method shown in FIG. 6 .

The organic operation of the waste separation and collection method using the spectroscopic technique and the waste classification algorithm according to an embodiment of the present invention will be described in detail with reference to FIGS. 1 to 8 .

First, it is assumed that an apartment resident puts wastes such as plastic bottles, glass cups, and cans into the inlet of the separate collection machine of the present invention.

The operation of the waste classification module 100 will be described as follows.

As shown in FIG. 1 , the wastes input through the inlet are aligned in a line through the aligner 110 in the waste sorting module 100 , and are positioned on the conveyor belt 120 and moved.

Wastes moving on the conveyor belt 120 are evenly distributed by the branch processing unit 130 to facilitate plasma analysis, and the weight is sensed by the weight sensor 140 built in the conveyor belt 120 .

In addition, when it is determined that the air presser 150 is a waste that is not a target of plasma analysis according to the weight detected by the weight sensor 140, it is discharged to the outlet using air pressure to exclude it from the target of plasma analysis.

Next, the operation of the waste identification module 200 will be described as follows.

The distance sensor 220 is dispersed by the branch processing unit 130 and detects a distance between the wastes classified as plasma analysis objects by the air presser 150 and the electrode unit.

If the waste detected by the distance sensor 220 or less from among the wastes distributed by the branch processing unit 130 and classified as plasma analysis objects is recognized by the waste identification module 200, the preset time is After the elapse of time, the conveyor belt 120 is stopped.

In addition, the spark generating unit 230 includes an electrode unit including a pair of tungsten rods 231 and a pair of tongs 232 for gripping one end thereof.

The spark generating unit 230 is linked with the distance sensor 220 to move in an integrated modular fashion. When the spark generating module detects waste within a preset distance among wastes, the spark generating unit 230 pauses and stops at a constant frequency. (eg, 5 Hz) to generate a spark.

That is, the spark generator 230 generates a spark of about 6,000 V using the voltage applied to the pair of clamps 232 corresponding to the electrode to which the positive terminal and the negative terminal of the power supply 210 are connected to generate a plasma. induce

In this case, the preset distance can be set to 4 to 6 mm, and 5 mm is most preferable.

The lens 235 in the waste determination module 200 is located at the lower portion of the other end of the pair of tungsten rods 231 in the electrode unit, and collects the spark light generated by the spark generating unit 230 through the optical fiber to the spectrometer 240 , to the spectrometer).

The spectrometer 240 receives the focused light of the spark from the lens 235 through an optical fiber and measures and analyzes the magnitude of the signal intensity in the wavelength band of 200 to 900 nm of the induced plasma to determine the type of waste to be analyzed. .

That is, when the signal intensity is 0 to 10,000 au, 10,000 to 20,000 au, 20,000 to 35,000 au, 35,000 to 45,000 au, and 45,000 to 55,000 au, respectively, aluminum (Al), polypropylene (PP), polystyrene (PS), polyethylene (PE) and PET are detected.

For example, cans made of aluminum (Al) can be discriminated at a wavelength of 600 to 700 nm, PP plastics are in the mid to late 200 nm wavelength, and PS plastics are high in wavelengths in the 500 nm range. It can be detected and discriminated by the signal strength.

In addition, at a wavelength of 200 nm, PE plastics do not have high signal strength, but a predetermined level (35,000 to 45,000 au) is detected, whereas aluminum (Al) cans have almost '0' signal strength. Since it is close to au, both can be discriminated.

In addition, it is possible to discriminate the plastics made of PE and other types of plastics by comparing the signal intensity detected at a wavelength of 200 nm.

In addition, it is possible to discriminate between plastics made of PET and plastics made of PP by comparing the signal intensity detected at a wavelength of 200 nm.

Next, the operation of the waste storage module 300 will be described as follows.

The compressor 310 reduces the volume of the object by compressing the analyzed and identified wastes in the waste identification module 200 and compresses them.

The type storage 320 receives the reduced volume wastes from the compressor 310 and stores them in storage spaces partitioned according to the type of waste such as cans, plastics (PP, PS, PE, PET), and glass, respectively. do.

The database stores matching data of the type of analysis target waste analyzed and determined by the waste identification module 200 and the detected signal intensity compared to the plasma wavelength, and is later utilized as big data.

On the other hand, using the waste separation and collection system and method of the present invention that operates as described above, a business model may be performed in the following manner.

That is, as a primary business model, a model in which a product producer creates a profit by renting a product produced by the present invention will be described as follows.

For example, a product producer leases a separate collection unit produced by the present invention to an apartment construction company or the like.

Apartment builders are installed in apartment management offices, etc. and sold to waste treatment companies that crush and shape recycled waste automatically classified by the separator of the present invention for use by residents.

The waste treatment company pays the apartment construction company a fee proportional to the amount of recycled waste that is different for each apartment building while purchasing recycled waste from the apartment construction company.

Apartment builders pay a certain amount of money from waste treatment companies to product producers as installation and rental fees for separate collection machines.

In addition, as a secondary business model, a model in which a product producer sells a product produced by the present invention and creates a profit by total care of waste will be described as follows.

For example, a product producer sells the separation collector produced by the present invention to an apartment building company or the like.

The apartment construction company builds its own separate collection system to allow apartment residents to put recycled waste into the separate collection machine of the present invention without using the existing garbage collection station.

The separator of the present invention is sold to a waste treatment company that pulverizes and molds recycled waste automatically classified by the waste separation and collection method of the present invention.

A waste treatment company pays a part of the price proportional to the amount of recycled waste that is different for each apartment to the product producer while purchasing recycled waste from an apartment building company.

In addition, the waste treatment company pays another part of the above price proportional to the amount of recycled waste to the apartment building company.

The apartment construction company promotes the use of the separate collection machine of the present invention by paying points to the users of the separate collection machine of the present invention through the apartment management office, etc. and granting benefits such as deduction of apartment management fees.

As such, the present invention provides a spectroscopic technique that can increase the convenience of residents of small and medium-sized public housing complexes by automatically classifying various wastes using an integrated spark generating module and a spectroscopic technique and securing a space by replacing a separate collection point. It is to provide a waste separation and collection system using a waste classification algorithm.

In addition, by using a waste classification algorithm that can accurately classify various waste items in one stop, by accurately and quickly classifying various wastes that are difficult to identify with the naked eye, it is possible to improve the recycling rate of household waste and enter various markets. Provided are a waste separation and collection system and method using a spectroscopic technique and a waste classification algorithm that can provide a waste separation and collection system using a spectroscopic technique and a waste classification algorithm.

Through this, the present invention automatically classifies various separate collection items by type and material, and provides eco-friendly and convenient waste separation and collection in small and medium-sized public housing complexes such as apartments and officetels, which could not be applied due to limitations in the number of classified items and technical problems. be able to do

In addition, it is possible to reduce the storage space of the conventional waste bag by compressing the waste, and it is possible to replace the conventional apartment separation collection point with a compact all-in-one product.

In addition, the recycling rate of household waste is improved, and a database on the amount of waste generated can be built and utilized as big data.

The steps of a method or algorithm described in relation to an embodiment of the present invention may be implemented directly in hardware, as a software module executed by hardware, or by a combination thereof. A software module may contain random access memory (RAM), read only memory (ROM), erasable programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), flash memory, hard disk, removable disk, CD-ROM, or It may reside in any type of computer-readable recording medium well known in the art to which the present invention pertains.

As mentioned above, although embodiments of the present invention have been described with reference to the accompanying drawings, those skilled in the art to which the present invention pertains know that the present invention may be embodied in other specific forms without changing the technical spirit or essential features thereof. you will be able to understand Therefore, it should be understood that the embodiments described above are illustrative in all respects and not restrictive.

100: waste sorting module
110: aligner
120: conveyor belt
130: branch processing unit
140: weight sensor
150: air presser
200: waste identification module
210: power supply
220: distance sensor
230: spark generating unit
235: lens
240: spectroscopy
300: waste storage module
310: compressor
320: storage by type

Claims (10)

When the distance between the wastes and the electrode part is sensed to be less than a preset distance, a waste identification module for generating a spark to induce plasma and measuring the signal intensity to determine the type of waste to be analyzed; and
a waste storage module for storing each of the types of the identified wastes in partitioned storage spaces;
including,
The waste identification module
a power supply for supplying a power voltage;
a distance sensor detecting a distance between the wastes and the electrode;
a spark generating unit interlocking with the distance sensor to generate a spark when waste is detected within the preset distance;
a spectrometer that measures and analyzes the signal intensity magnitude of the plasma induced by the spark to determine the type of the waste to be analyzed; and
a lens condensing the light of the spark and transmitting it to the spectrometer through an optical fiber;
includes,
The signal strength magnitude is
0 to 10,000 au for aluminum (Al), 10,000 to 20,000 au for polypropylene (PP), 20,000 to 35,000 au for polystyrene (PS), 35,000 to 45,000 au for polyethylene (PE), PET (PET) When it is characterized in that it is measured as 45,000 to 55,000 au,
Waste separation and collection system using spectroscopic technique and waste classification algorithm.
The method of claim 1,
Further comprising a waste classification module for classifying the waste,
The waste classification module,
an aligner for aligning wastes inputted through the inlet;
a conveyor belt for receiving and moving the sorted wastes; and
an air presser for discharging the waste to a discharge port using air pressure;
characterized in that it comprises,
Waste separation and collection system using spectroscopic technique and waste classification algorithm.
delete The method of claim 1,
The waste storage module is
a compressor for reducing the volume by squeezing the waste classified by the waste identification module; and
a type-specific storage for receiving the reduced volume wastes and storing them in the partitioned storage space according to the type of waste;
characterized in that it comprises,
Waste separation and collection system using spectroscopic technique and waste classification algorithm.
(b) when the waste identification module detects that the distance between the wastes and the electrode is less than or equal to a preset distance, generates a spark to induce plasma, and determines the type of waste to be analyzed by measuring the signal intensity magnitude of the induced plasma to do; and
(c) storing, by the waste storage module, in storage spaces partitioned according to the types of the identified wastes;
including,
Step (b) is
(b-1) a distance sensor detecting the distance between the wastes and the electrode;
(b-2) generating, by the spark generating unit, in conjunction with the distance sensor, a spark when waste is detected within the preset distance;
(b-3) the lens condensing the light of the spark and transmitting it to the spectrometer through an optical fiber; and
(b-4) determining the type of waste to be analyzed by measuring and analyzing a signal intensity magnitude of plasma induced by the spark when the spectrometer receives the focused light;
includes,
The signal strength magnitude is
0 to 10,000 au for aluminum (Al), 10,000 to 20,000 au for polypropylene (PP), 20,000 to 35,000 au for polystyrene (PS), 35,000 to 45,000 au for polyethylene (PE), PET (PET) When it is characterized in that it is measured as 45,000 to 55,000 au,
Waste separation and collection method using spectroscopic technique and waste classification algorithm.
6. The method of claim 5,
(a) further comprising the step of classifying the waste by the waste classification module,
The step (a) is
(a-1) aligning the waste inputted through the aligner through the inlet;
(a-2) a conveyor belt moving the sorted wastes in receipt of approval; and
(a-3) discharging the air presser to a discharge port using air pressure;
characterized in that it comprises,
Waste separation and collection method using spectroscopic technique and waste classification algorithm.
delete delete 6. The method of claim 5,
In the step (b-4),
Cans made of aluminum (Al) have a wavelength of 600 to 700 nm, PP plastics have a mid-to-late 200 nm wavelength, PS plastics have a wavelength of 500 nm, PE plastics and PET plastics Characterized in that the flow is determined by comparison of the signal intensity detected at a wavelength of 200 nm,
Waste separation and collection method using spectroscopic technique and waste classification algorithm.
6. The method of claim 5,
Step (c) is
(c-1) compressing the wastes classified by the waste identification module by a compressor to reduce the volume;
(c-2) storing the volume-reduced wastes in a storage space partitioned according to the type of waste, respectively, by type storage; and
(c-3) storing, by the database, matching data of the analyzed and determined type of analysis target waste and the detected signal intensity compared to the plasma wavelength;
characterized in that it comprises,
Waste separation and collection method using spectroscopic technique and waste classification algorithm.

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