CN109331990A - A kind of fast automatic recycling sort process of post-consumer glass - Google Patents
A kind of fast automatic recycling sort process of post-consumer glass Download PDFInfo
- Publication number
- CN109331990A CN109331990A CN201811156561.5A CN201811156561A CN109331990A CN 109331990 A CN109331990 A CN 109331990A CN 201811156561 A CN201811156561 A CN 201811156561A CN 109331990 A CN109331990 A CN 109331990A
- Authority
- CN
- China
- Prior art keywords
- module
- raw material
- sorting
- glass raw
- glass
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B03—SEPARATION OF SOLID MATERIALS USING LIQUIDS OR USING PNEUMATIC TABLES OR JIGS; MAGNETIC OR ELECTROSTATIC SEPARATION OF SOLID MATERIALS FROM SOLID MATERIALS OR FLUIDS; SEPARATION BY HIGH-VOLTAGE ELECTRIC FIELDS
- B03B—SEPARATING SOLID MATERIALS USING LIQUIDS OR USING PNEUMATIC TABLES OR JIGS
- B03B7/00—Combinations of wet processes or apparatus with other processes or apparatus, e.g. for dressing ores or garbage
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B03—SEPARATION OF SOLID MATERIALS USING LIQUIDS OR USING PNEUMATIC TABLES OR JIGS; MAGNETIC OR ELECTROSTATIC SEPARATION OF SOLID MATERIALS FROM SOLID MATERIALS OR FLUIDS; SEPARATION BY HIGH-VOLTAGE ELECTRIC FIELDS
- B03B—SEPARATING SOLID MATERIALS USING LIQUIDS OR USING PNEUMATIC TABLES OR JIGS
- B03B5/00—Washing granular, powdered or lumpy materials; Wet separating
- B03B5/28—Washing granular, powdered or lumpy materials; Wet separating by sink-float separation
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B07—SEPARATING SOLIDS FROM SOLIDS; SORTING
- B07B—SEPARATING SOLIDS FROM SOLIDS BY SIEVING, SCREENING, SIFTING OR BY USING GAS CURRENTS; SEPARATING BY OTHER DRY METHODS APPLICABLE TO BULK MATERIAL, e.g. LOOSE ARTICLES FIT TO BE HANDLED LIKE BULK MATERIAL
- B07B1/00—Sieving, screening, sifting, or sorting solid materials using networks, gratings, grids, or the like
- B07B1/28—Moving screens not otherwise provided for, e.g. swinging, reciprocating, rocking, tilting or wobbling screens
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B07—SEPARATING SOLIDS FROM SOLIDS; SORTING
- B07B—SEPARATING SOLIDS FROM SOLIDS BY SIEVING, SCREENING, SIFTING OR BY USING GAS CURRENTS; SEPARATING BY OTHER DRY METHODS APPLICABLE TO BULK MATERIAL, e.g. LOOSE ARTICLES FIT TO BE HANDLED LIKE BULK MATERIAL
- B07B1/00—Sieving, screening, sifting, or sorting solid materials using networks, gratings, grids, or the like
- B07B1/42—Drive mechanisms, regulating or controlling devices, or balancing devices, specially adapted for screens
-
- 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
-
- 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
- B07C5/36—Sorting apparatus characterised by the means used for distribution
-
- 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
- B07C5/36—Sorting apparatus characterised by the means used for distribution
- B07C5/363—Sorting apparatus characterised by the means used for distribution by means of air
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B08—CLEANING
- B08B—CLEANING IN GENERAL; PREVENTION OF FOULING IN GENERAL
- B08B3/00—Cleaning by methods involving the use or presence of liquid or steam
- B08B3/02—Cleaning by the force of jets or sprays
- B08B3/022—Cleaning travelling work
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F26—DRYING
- F26B—DRYING SOLID MATERIALS OR OBJECTS BY REMOVING LIQUID THEREFROM
- F26B21/00—Arrangements or duct systems, e.g. in combination with pallet boxes, for supplying and controlling air or gases for drying solid materials or objects
Abstract
The present invention relates to a kind of fast automatic recycling sort process of post-consumer glass, operation based on this technique, rely on the fast automatic identification of a set of scrap glass raw material and sorting unit, for realizing classification, sorting and the recycling and reusing to glass fragment and waste metal in scrap glass raw material, which includes: main control module, flotation module, conveyor module, sorting module, cleaning and drying module, recovery bin.The present invention carries out Image Acquisition and analysis to material molecule using multispectral technology, can effectively avoid the influence of environment veiling glare, reduces sorting False Rate, improves system sorting precision.
Description
Technical field
The invention belongs to material technical field of regeneration, are related to multispectral identification technology and automatic control technology, especially one
The kind fast automatic recycling sort process of post-consumer glass.
Background technique
China vigorously advocates resource regeneration at present, not only can protect environment to recycling old and useless articles to recycle, but also
It has high economic benefit.In all kinds of renewable resources, scrap glass is as a kind of industrial waste and house refuse, China
Domestic every annual meeting generates 50,000,000 tons or so, and quantity is more.But it can not voluntarily degrade, if it is not pocessed directly into
Row is buried, and can not only occupy valuable land resource, huge destruction can be also caused to environment.If being recycled to it again sharp
With, not only have higher economic benefit, have more great environmental benefit, meet the Macroscopic Strategy of China's sustainable development.
Impurities type is more in post-consumer glass raw material, generally comprises metal, stone, ceramics, soil etc..It is miscellaneous at these
In matter, metal economic value with higher subtracts if simultaneously sorting out glass fragment and metal in impurity separation process
The wasting of resources caused by few secondary sorting processing, can be improved economic benefit significantly.But because of the impurity shape in scrap glass raw material
Shape is not of uniform size to be difficult to sort, and there has been no preferable processing method and devices.Now mostly use the mode pair of manual sorting and flotation
Scrap glass raw material carries out sorting processing.Artificial sorting mode efficiency is extremely low, and contains volume in scrap glass raw material more
Lesser impurity, even if can not still be rejected completely by after multiple manual sorting.Although floatation is compared to artificial point
The mode efficiency picked increases, but which can only be isolated and differ farther away plastics, rubber with scrap glass mass density
Glue etc. does not simply fail to sort out the metal with higher economic benefit, and the scrap glass sorted out also remains more stone
The impurity such as head, ceramics.The more glass raw material of this impurity content, which enters in kiln production, can generate more calculus and silicon ball, may
It will lead to material conveying pipe in kiln to block, cause great economic loss.And the finished glass poor quality produced, warp
Benefit of helping is lower.
Because the invention carries out fast automatic identification, sorting and the method and work recycled with a kind of pair of scrap glass raw material is designed
Metal with higher economic value is also sorted out while improving the recovery utilization rate of scrap glass, is not only had by skill
There is higher economic benefit, and all has great importance to environmental protection and sustainable development.
Summary of the invention
It is an object of the invention in place of overcome the deficiencies in the prior art, provide a kind of convenient for identification, classification, sorting and to return
Receive and economize on resources, protect the fast automatic recycling sort process of post-consumer glass of environment.
The present invention solves its technical problem and adopts the following technical solutions to achieve:
A kind of fast automatic recycling sort process of post-consumer glass, the operation based on this technique rely on a set of scrap glass
The fast automatic identification of raw material and sorting unit divide for realizing to glass fragment in scrap glass raw material and waste metal
Class, sorting and recycling and reusing, the device include: main control module, flotation module, conveyor module, sorting module, cleaning and drying
Module, recovery bin, wherein sorting module is the nucleus module of this system, it is view-based access control model detection technique and electromagnetic technique design
, main includes that illumination is made of lighting source, linear array CCD camera, embedded image processing module, sorter, for changing
The fall trajectory of metal and other impurities respectively falls in it in different recovery bins, completes sorting movement；
Main control module: working between each module for controlling and coordinating, and receives the control or setting life of human-computer interaction interface
It enables, the control of human-computer interaction interface or setting command is transmitted in modules, each module is controlled and is acted accordingly；
Flotation module: it using the difference of the physical characteristic between object, is isolated from untreated level-one glass raw material
Farther away impurity is differed with scrap glass mass density, obtains second level glass raw material；
Conveyor module: conveyor module is mainly made of material conveying passage, vibrating screen, transmission crawler belt, for generating stabilization
Flow of Goods and Materials, using vibrating screen generate reciprocating rotary type vibration by second level glass raw material along inclined material channel successively under
It is sliding, make second level glass raw material single layer it is orderly by sorting area to be seen.
Cleaning and drying module: cleaning and drying module are by hydraulic spray and hot body at being used using giant
In carrying out injection scale removal to three-level glass, air-heater is used to dry the three-level glass after injection.
Moreover, it is described sorting module lighting light source structure it is as shown in Figure 2: by red LED, blue led, green LED,
5 kinds of combination of light sources of near-infrared LED and ultraviolet LED form, and carry out multi-optical spectrum image collecting and processing using time-multiplexed mode,
It drives lighting source to work using time-multiplexed mode, while acquiring the image of corresponding spectrum using linear array CCD camera, obtain
Collected multispectral data is sent into embedded image processing module and carries out real-time analysis processing by multispectral data, judges
Whether article in image is that sheet glass or metallics using judging result as the driving signal of sorter pass through sorter
The fall trajectory for changing metal and other impurities, respectively falls in it in different recovery bins, to obtain impure few
Three-level glass raw material and waste metal.
Moreover, it is described sorting module sorter be to be designed based on electromagnetic technique, mainly by solenoid valve, air gun,
Electromagnet composition, using the judging result of embedded image processing module as the driving signal of solenoid valve, passes through solenoid valve control
Air gun and electromagnet action change the fall trajectory of metal and other impurities, respectively fall in it in different recovery bins, complete
Sorting movement.
Moreover, the master control mould transmits information between various modules, interconnection and co-ordination between each module are realized.
The fast automatic recycling sort process process of post-consumer glass are as follows:
(1) for the fast automatic identification of the scrap glass raw material with after sorting unit starting, main control module carries out other modules
The vibration velocity and mode, the tilt angle of material channel of vibrator in conveyor module is arranged in initialization operation.Setting sorting mould
The image matching value of CCD camera, A/D yield value relevant parameter in block.Check whether other functions of modules are normal simultaneously, completes just
Beginningization operation；
(2) flotation module selects pure water as separation solvent, by untreated level-one scrap glass raw material through spout
It puts into flotation unit, the lighter rubber of mass density, plastic sheet, the impurity that drifts along will float, thus by itself and glass raw material
Separate, obtain may containing potsherd, sheet metal, stone second level glass raw material；
(3) acquired second level glass raw material is fallen using conveyor module successively along inclined material channel, make its single layer
It is orderly by sorting area, create suitable external condition for sorting in next step, the falling speed of material can pass through human-computer interaction
Interface setting relevant parameter changes the tilt angle of material channel and the vibration velocity of vibrating screen is adjusted with vibration mode；
(4) module is sorted under the control of the dsp, different-time exposure red LED, blue led, green LED, near-infrared LED and purple
Outer LED light source, while linear array CCD camera being driven to carry out Image Acquisition, the multispectral image of falling material molecule is obtained, is utilized
The high speed processing ability of FPGA is analyzed and is handled to the multispectral image of acquisition, and three-level glass raw material is obtained；
(5) the three-level glass raw material that prize sorting finishes, sorted area are fallen on transmission crawler belt, and communicated crawler belt is sent to clear
It washes in area, in cleaning area, glass raw material is vertically sprayed in the top that hydraulic spray is vertically mounted on transmission crawler belt
Air-heater is placed in upper, left and right three directions of transmission crawler belt in baking zone by cleaning, the glass raw material finished to cleaning
Drying and processing is carried out, to obtain clean clean glass raw material.
Moreover, the process (4) in, using FPGA high speed processing ability to the multispectral image of acquisition carry out analysis with
Processing includes the following steps:
(1) image is denoised, distortion correction processing, improve picture quality.Using frame-to-frame differences as basis of characterization to every kind
Multispectral image is individually handled, and using the first width multispectral image of collected material molecule as template, will be acquired later
To multispectral image and the template calculus of differences is carried out in FPGA, using differentiated image as identify judgment basis, it is right
It is analyzed and is handled, and eliminates isolated point, calculates its distribution characteristics, shape feature, autocorrelation characteristic, frequency domain character；
(2) calculated characteristic parameter is compareed with the sheet glass in Standard Template Library with metallicity, judged whether
It is for sheet glass or metallics.Analysis result is sent into DSP by spi bus and is handled and judged, by the judgement of DSP
As a result the control signal as solenoid valve in sorter, if judging result is the other impurities of non-glass raw material or metal, benefit
Material channel is blown out with solenoid-driven air gun；If judging result is metallics, solenoid-driven electromagnet is utilized
It will be adsorbed in its material stream from whereabouts, changing its fall trajectory separates it with other substances；If judging result
For glass raw material, then sorter does not change its fall trajectory without movement, it is made to pass through the biography that sorting area falls into lower section
It send on crawler belt, obtains three-level glass raw material.
The advantages and positive effects of the present invention are:
The present invention is based on vision detection technology devise a kind of pair of scrap glass raw material carry out fast automatic identification, sorting and
The method and apparatus of recycling.Image Acquisition and analysis are carried out to material molecule using multispectral technology, it is miscellaneous to can effectively avoid environment
The influence of light reduces sorting False Rate, improves system sorting precision.
Apparatus of the present invention will disposably can have higher economic valence using the electromagnetic property of electromagnet in scrap glass raw material
The sheet glass of value sorts out simultaneously with metallics, avoids the economic valence with higher of the wasting of resources caused by secondary sorting
Value and practicability.
The present apparatus is integrated with main control module, flotation module, conveyor module, sorting module, cleaning and drying module, disposably
Multistage is divided to handle scrap glass, glass raw material after processing can directly enter kiln reproduction, avoid separated processing
Secondary pollution caused by material transfer in the process.
Detailed description of the invention
Fig. 1 is the functional block diagram of the fast automatic identification and sorting unit of the scrap glass raw material in the present invention；
Fig. 2 is the lighting light source structure schematic diagram of the sorting module in the present invention；
Fig. 3 is the sorting module operation schematic diagram in the present invention；
Fig. 4 is the embedded image processing module structure chart in the present invention.
Specific embodiment
The invention will be further described with reference to the accompanying drawing and by specific embodiment, and following embodiment is descriptive
, it is not restrictive, this does not limit the scope of protection of the present invention.
A kind of fast automatic recycling sort process of post-consumer glass, composition as shown in Figure 1, the operation based on this technique, according to
Hold in the palm in the fast automatic identification of a set of scrap glass raw material and sorting unit, for realizing to glass fragment in scrap glass raw material and
Quick, accurate, efficient classification, sorting and the recycling and reusing of waste metal.The device include: main control module, flotation module,
Conveyor module, sorting module, cleaning and drying module, recovery bin.
Wherein sorting module is the nucleus module of this system, is that view-based access control model detection technique designs, and main includes illumination
Light source, embedded image processing module, sorter.
The working principle of the present apparatus are as follows: untreated level-one scrap glass raw material is put into flotation through spout first
In module, farther away impurity is differed for scrap glass mass density by the separation of flotation module, as rubber, plastics, floating dust obtain
Obtain second level glass raw material.Then second level glass raw material is sent into sorting module by conveyor module, is irradiated by lighting source
The multispectral image for acquiring second level glass raw material molecule carries out the multispectral image of acquisition in embedded image processing module
Analysis judges whether it is sheet glass or metal with processing in real time, using judging result as the driving signal of sorter, passes through sorting
Device changes the fall trajectory of sheet glass, metal and other impurities, respectively falls in it in different recovery bins, obtains three-level glass
Raw material and recoverable metal.Pass through transmission crawler belt again for three-level glass raw material and is sent into cleaning and drying module, it then will be clear
The glass raw material of wash clean is sent into glass recovery bin, to obtain the few clean glass raw material of impurity content.
The present invention is that fast automatic identification, sorting and the method and apparatus recycled are carried out to scrap glass raw material, main
The functions of modules is wanted to include:
Main control module: main control module is the control core of whole system, is mainly used to control and coordinate work between each module
Make.The control or setting command for receiving human-computer interaction interface, using RS485, CAN industrial bus by the control of human-computer interaction interface
Or setting command is transmitted in modules, is controlled each module and is acted accordingly.And main control module can also be each
Information is transmitted between module, realizes interconnection and co-ordination between each module.
Flotation module: impurities type is more in untreated scrap glass raw material, the matter of some of them impurity
Metric density differs farther out with scrap glass, and such as plastics, rubber, there are also the mass densityes of some impurity more to connect with scrap glass
Closely, such as potsherd, sheet metal, stone.Flotation module in the present apparatus is to utilize the difference of the physical characteristic between object, from
It is isolated in untreated level-one glass raw material and differs farther away impurity with scrap glass mass density, it is former to obtain second level glass
Material.
Conveyor module: conveyor module is mainly made of material conveying passage, vibrating screen, transmission crawler belt, for generating stabilization
Flow of Goods and Materials, to carry out next step sorting process.Its working principle is that: the vibration of reciprocating rotary type is generated by two using vibrating screen
Grade glass raw material glides successively along inclined material channel, makes orderly to be seen by sorting of second level glass raw material single layer
Area.
Sort module: the module is the nucleus module of the present apparatus, be view-based access control model detection technique and electromagnetic technique design and
At, it is made of lighting source, linear array CCD camera, embedded image processing module, sorter.In view of institute in scrap glass
It is impure more, and industrial environment is complex, the influence in order to avoid stray light to Image Acquisition, reduces False Rate,
Image Acquisition is carried out to scrap glass raw molecule using multispectral technology.Sort lighting light source structure such as two institute of figure of module
Show: being formed by 5 kinds of combination of light sources such as red LED, blue led, green LED, near-infrared LED and ultraviolet LED, using time division multiplexing
Mode carry out multi-optical spectrum image collecting and processing.I.e. Time-sharing control drives red LED, blue led, green LED, near-infrared
LED and ultraviolet LED.Actuator using linear array CCD camera as acquisition image.Based on field programmable gate array (FPGA) with
DSP constructs embedded image processing module, and FPGA is mainly used to complete the hardware pretreatment to multispectral image, including image filter
Wave, denoising, image difference operation etc., DSP is responsible for logic judgment, carries out real time data friendship using spi bus between FPGA and DSP
It changes, parallel multiprocessor works the advantages of can giving full play to each processor, can effectively improve system operational speed.Sorter is base
It designs in electromagnetic technique, is mainly made of solenoid valve, air gun, electromagnet, by the judgement of embedded image processing module
As a result as the driving signal of solenoid valve, by solenoid valve control air gun and electromagnet action, change metal and other impurities
Fall trajectory respectively falls in it in different recovery bins, completes sorting movement.
The working principle of the module are as follows: drive lighting source to work using time-multiplexed mode, while using line array CCD
Camera acquires the image of corresponding spectrum, obtains multispectral data, and collected multispectral data is sent into embedded image processing
Carry out real-time analysis processing in module, judge whether the article in image is sheet glass or metallics, using judging result as
The driving signal of sorter changes the fall trajectory of metal and other impurities by sorter, it is made to respectively fall in different return
It receives in storehouse, to obtain impure few three-level glass raw material and waste metal.
Cleaning and drying module: the object of some dirts Yu dirt can be remained on the three-level glass raw material sorted out.To protect
The quality for the finished glass that card is produced, the glass raw material for entering kiln reproduction need to guarantee cleaning and drying.Cleaning and drying mould
Block is by hydraulic spray and hot body at three-level glass is sent into cleaning area via transmission crawler belt, using giant to it
Injection scale removal is carried out, then the glass raw material cleaned up is sent into baking zone, carries out drying and processing, the glass being disposed
Raw material is the high-quality glass raw material that can enter kiln reproduction.
Process flow of the invention are as follows:
(1) for the fast automatic identification of the scrap glass raw material with after sorting unit starting, main control module carries out other modules
The vibration velocity and mode, the tilt angle of material channel of vibrator in conveyor module is arranged in initialization operation.Setting sorting mould
The relevant parameters such as image matching value, A/D yield value of CCD camera in block.Check whether other functions of modules are normal simultaneously, completes
Initialization operation.
(2) consider that equipment cost problem and operability, flotation module select pure water as separation solvent, it will be without
The level-one scrap glass raw material of processing is through in spout investment flotation unit, mass density lighter rubber, drifts along at plastic sheet
Impurity will float, so that it be separated with glass raw material, obtain may containing potsherd, sheet metal, stone second level glass
Glass raw material.
(3) acquired second level glass raw material is fallen using conveyor module successively along inclined material channel, make its single layer
It is orderly by sorting area, create suitable external condition for sorting in next step, the falling speed of material can pass through human-computer interaction
Interface setting relevant parameter changes the tilt angle of material channel and the vibration velocity of vibrating screen is adjusted with vibration mode.
(4) sorting module is that view-based access control model detection technique and electromagnetic technique design, and under the control of the dsp, timesharing exposes
Light red LED, blue led, green LED, near-infrared LED and ultraviolet LED light source, while linear array CCD camera being driven to carry out image
Acquisition obtains the multispectral image of falling material molecule.
When system is run, the multispectral image of acquisition is analyzed and handled using the high speed processing ability of FPGA, it is first
First image is denoised, distortion correction processing, improves picture quality.Using frame-to-frame differences as basis of characterization to every kind of multispectral figure
It, will later collected mostly light as individually processing, and using the first width multispectral image of collected material molecule as template
Spectrogram picture and the template carry out calculus of differences in FPGA, using differentiated image as identification judgment basis, divide it
Analysis and processing, eliminate isolated point, its distribution characteristics, shape feature, autocorrelation characteristic, frequency domain character etc. are calculated, then calculating
Characteristic parameter out is compareed with the sheet glass in Standard Template Library with metallicity, judges whether it is for sheet glass or gold
Belong to substance.Analysis result is sent into DSP by spi bus and is handled and judged, using the judging result of DSP as in sorter
The control signal of solenoid valve.If judging result is the other impurities of non-glass raw material or metal, solenoid-driven air gun is utilized
Blown out material channel.If judging result is metallics, using solenoid-driven electromagnet by it from the material of whereabouts
It is adsorbed in stream, changing its fall trajectory separates it with other substances.If judging result is glass raw material, sort
Device does not change its fall trajectory without movement, so that it is passed through sorting area and falls on the transmission crawler belt of lower section, obtains three
Grade glass raw material.
(5) cleaning includes cleaning area and baking zone with drying unit.The three-level glass raw material that finishes is sorted, under sorted area
It drops down on transmission crawler belt, communicated crawler belt is sent into cleaning area.In cleaning area, hydraulic spray is vertically mounted on transmission and is carried out
The top of band carries out vertical shot blastinog to glass raw material.In baking zone, by air-heater be placed in transmission crawler belt it is upper, left,
Right three directions carry out drying and processing to the glass raw material that cleaning finishes, to obtain clean clean glass raw material.
As application of the invention, for carrying out fast automatic identification, sorting and recycling, application places to scrap glass
For commercial recovery scene, specific processing step are as follows:
By scrap glass raw material according to the present invention it is fast automatic identification, sorting and recyclable device be placed in need into
The industry spot of row scrap glass recycling.Scrap glass is put into the present apparatus by spout, starts to carry out automatic identification, divide
Choosing and recycling.
(2) after system starting, main control module sends initialization command to modules.Conveyor module is connected to initialization command
Afterwards, adjust the vibration velocity of vibrating screen, the tilt angle of mode and material channel, control material molecule along material channel according to
Suitably orderly the passing through of falling speed single layer sorts area.
(3) after sorting module receives initialization command, linear array CCD camera lens focus and field range are adjusted first, makes it
It can observe and entirely sort region to be seen, avoid the generation of vision dead zone.Driving illumination in a time multiplexed manner later
Light source working carries out Image Acquisition simultaneously.Acquired image is sent into DSP, the brightness of image, aperture and yield value are carried out
It analyzes and determines, then reasonably adjusting yield value ensures that the gray scale in image can be uniformly distributed, convenient for being further processed.
(4) when life's work, main control module receives the control and parameter setting order sent by human-computer interaction interface, drives
Dynamic modules co-ordination.Untreated level-one glass raw material is through can remove modeling through flotation in spout investment flotation module
The impurity such as material, rubber, floating dust obtain secondary raw materials.Secondary raw materials obtain a stable flowing speed after conveyor module arranges
It spends, it is made at the uniform velocity to fall along material channel, orderly the passing through of single layer sorts area.
(5) when there is material by sorting area, embedded image processing module starts to control lighting source progress timesharing exposure
Light, while linear array CCD camera being driven to carry out Image Acquisition, obtain the multispectral image of material molecule.The multispectral image of acquisition
It is sent into FPGA and is handled after A/D is converted, it is denoised first, distortion correction raising picture quality, it then should
Image and reserved template image carry out calculus of differences, and then will analyze and determine in the difference image feeding DSP of acquisition be
No is sheet glass or metallics.
(6), using the judging result of DSP as the driving signal of sorter, control sorter and carried out accordingly according to judging result
Movement.If analyzing the other impurities that result is non-glass or metal, drive magnetic valve control air gun movement is blown off vertical
Straight dropping channel, changing its motion profile falls into it in impurity recovery bin.If judging result is metallics, electromagnetism is driven
Valve control electromagnet energization magnetisation absorption fall metallics, change its fall trajectory, with and drive magnetic valve control electromagnetism
Iron power down degaussing falls to it in metal recovery storehouse of lower section.If judging result be sheet glass, sorter without movement,
Not changing its fall trajectory makes it pass through sorting area, falls on the transmission crawler belt of lower section, obtains three-level glass raw material.
(7) three-level glass raw material continues to fall on horizontal transmission crawler belt through material channel, and communicated crawler belt is sent into cleaning
Area after being rinsed by the sprinkling for the giant being vertically disposed on above transmission crawler belt, then is sent in baking zone, uses heat
Blower removes the moisture on glass raw material, and then the glass raw material by " the clean cleaning " of acquisition is sent into glass recovery bin, completes
Fast automatic identification, sorting and recycling to scrap glass raw material.
Although disclosing the embodiment of the present invention and attached drawing for the purpose of illustration, those skilled in the art can be managed
Solution: do not departing from the present invention and spirit and scope of the appended claims in, various substitutions, changes and modifications be all it is possible,
Therefore, the scope of the present invention is not limited to the embodiment and attached drawing disclosure of that.
Claims (6)
1. a kind of fast automatic recycling sort process of post-consumer glass, it is characterised in that: the operation based on this technique relies on a set of
The fast automatic identification of scrap glass raw material and sorting unit, for realizing to glass fragment and waste metal in scrap glass raw material
Classification, sorting and recycling and reusing, the device include: main control module, flotation module, conveyor module, sorting module, cleaning
With drying module, recovery bin, wherein sorting module be this system nucleus module, be view-based access control model detection technique and electromagnetic technique
Design, main includes that illumination is made of lighting source, linear array CCD camera, embedded image processing module, sorter, is used for
The fall trajectory for changing metal and other impurities, respectively falls in it in different recovery bins, completes sorting movement；
Main control module: working between each module for controlling and coordinating, and receives the control or setting command of human-computer interaction interface, will
The control of human-computer interaction interface or setting command are transmitted in modules, are controlled each module and are acted accordingly；
Flotation module: it using the difference of the physical characteristic between object, isolates and gives up from untreated level-one glass raw material
The farther away impurity of glass quality density difference is abandoned, second level glass raw material is obtained；
Conveyor module: conveyor module is mainly made of material conveying passage, vibrating screen, transmission crawler belt, for generating stable object
Stream is dynamic, generates the vibration of reciprocating rotary type using vibrating screen and second level glass raw material glides successively along inclined material channel, make
Second level glass raw material single layer it is orderly pass through sorting area to be seen.
Cleaning and drying module: cleaning and drying module by hydraulic spray and hot body at, using giant for pair
Three-level glass carries out injection scale removal, and air-heater is used to dry the three-level glass after injection.
2. the fast automatic recycling sort process of post-consumer glass according to claim 1, it is characterised in that: the sorting module
Lighting light source structure it is as shown in Figure 2: by 5 kinds of red LED, blue led, green LED, near-infrared LED and ultraviolet LED light sources
It is composed, multi-optical spectrum image collecting and processing is carried out using time-multiplexed mode, photograph is driven using time-multiplexed mode
Bright light source working, while the image of corresponding spectrum is acquired using linear array CCD camera, multispectral data is obtained, it will be collected more
Spectroscopic data is sent into embedded image processing module and carries out real-time analysis processing, judges whether the article in image is sheet glass
Or metallics changes the whereabouts of metal and other impurities by sorter using judging result as the driving signal of sorter
Track respectively falls in it in different recovery bins, to obtain impure few three-level glass raw material and waste metal.
3. the fast automatic recycling sort process of post-consumer glass according to claim 2, it is characterised in that: the sorting module
Sorter be to be designed based on electromagnetic technique, be made of solenoid valve, air gun, electromagnet, embedded image handled into mould
Driving signal of the judging result of block as solenoid valve changes metal and its by solenoid valve control air gun and electromagnet action
The fall trajectory of his impurity respectively falls in it in different recovery bins, completes sorting movement.
4. the fast automatic recycling sort process of post-consumer glass according to claim 1, it is characterised in that: the master control mould exists
Information is transmitted between modules, realizes interconnection and co-ordination between each module.
5. the fast automatic recycling sort process of post-consumer glass according to claim 1, it is characterised in that: the post-consumer glass
Fast automatic recycling sort process process are as follows:
(1) with after sorting unit starting, main control module carries out other modules initial the fast automatic identification of the scrap glass raw material
Change operation, the vibration velocity and mode, the tilt angle of material channel of vibrator in conveyor module are set.In setting sorting module
Image matching value, the A/D yield value relevant parameter of CCD camera.Check whether other functions of modules are normal simultaneously, completes initialization
Operation；
(2) flotation module selects pure water as separation solvent, and untreated level-one scrap glass raw material is put into through spout
In flotation unit, the lighter rubber of mass density, plastic sheet, the impurity that drifts along will float, so that it be separated with glass raw material
Open, obtain may containing potsherd, sheet metal, stone second level glass raw material；
(3) acquired second level glass raw material is fallen using conveyor module successively along inclined material channel, keep its single layer orderly
By sorting area, create suitable external condition for sorting in next step, the falling speed of material can pass through human-computer interaction interface
The vibration velocity of tilt angle and vibrating screen that relevant parameter change material channel is arranged is adjusted with vibration mode；
Sorting module under the control of the dsp, different-time exposure red LED, blue led, green LED, near-infrared LED and ultraviolet
LED light source, while linear array CCD camera being driven to carry out Image Acquisition, the multispectral image of falling material molecule is obtained, FPGA is utilized
High speed processing ability the multispectral image of acquisition is analyzed and is handled, obtain three-level glass raw material；
(5) the three-level glass raw material that prize sorting finishes, sorted area are fallen on transmission crawler belt, and communicated crawler belt is sent to cleaning area
In, in cleaning area, the top that hydraulic spray is vertically mounted on transmission crawler belt is subjected to vertical shot blastinog to glass raw material,
In baking zone, air-heater is placed in upper, left and right three directions of transmission crawler belt, the glass raw material that cleaning finishes is carried out
Drying and processing, to obtain clean clean glass raw material.
6. the fast automatic recycling sort process of post-consumer glass according to claim 5, it is characterised in that: the process is (4)
In, analysis is carried out to the multispectral image of acquisition using the high speed processing ability of FPGA and is included the following steps: with processing
(1) image is denoised, distortion correction processing, improve picture quality.Using frame-to-frame differences as basis of characterization to every kind of mostly light
Spectrogram picture is individually handled, and using the first width multispectral image of collected material molecule as template, will be later collected
Multispectral image and the template carry out calculus of differences in FPGA, using differentiated image as identifying judgment basis, to its into
Row analysis and processing, eliminate isolated point, calculate its distribution characteristics, shape feature, autocorrelation characteristic, frequency domain character；
(2) calculated characteristic parameter is compareed with the sheet glass in Standard Template Library with metallicity, judge whether be for
Sheet glass or metallics.Analysis result is sent into DSP by spi bus and is handled and judged, by the judging result of DSP
Electricity is utilized if judging result is the other impurities of non-glass raw material or metal as the control signal of solenoid valve in sorter
Magnet valve driving air gun is blown out material channel；If judging result be metallics, using solenoid-driven electromagnet by its
It is adsorbed from the material stream of whereabouts, changing its fall trajectory separates it with other substances；If judging result is glass
Glass raw material, then sorter does not change its fall trajectory without movement, it is made to pass through the transmission shoe that sorting area falls into lower section
In taking, three-level glass raw material is obtained.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811156561.5A CN109331990A (en) | 2018-09-28 | 2018-09-28 | A kind of fast automatic recycling sort process of post-consumer glass |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811156561.5A CN109331990A (en) | 2018-09-28 | 2018-09-28 | A kind of fast automatic recycling sort process of post-consumer glass |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN109331990A true CN109331990A (en) | 2019-02-15 |
Family
ID=65307885
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201811156561.5A Pending CN109331990A (en) | 2018-09-28 | 2018-09-28 | A kind of fast automatic recycling sort process of post-consumer glass |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN109331990A (en) |
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111229448A (en) * | 2020-02-12 | 2020-06-05 | 罗仲齐 | Heat-insulating material glass fiber raw material screening device |
| CN111393024A (en) * | 2020-03-26 | 2020-07-10 | 滁州克莱帝玻璃科技有限公司 | Refrigerator glass partition plate prepared from waste glass and method |
| CN111408552A (en) * | 2020-03-25 | 2020-07-14 | 江苏天楹环保能源成套设备有限公司 | Intelligent glass sorting system and method |
| CN112536285A (en) * | 2020-11-17 | 2021-03-23 | 中山大学 | Automatic waste glass cleaning and sorting system |
| CZ308783B6 (en) * | 2020-08-05 | 2021-05-12 | Rieter Cz S.R.O. | Equipment for assessing impurities in fibrous material |
| CN112845138A (en) * | 2021-01-29 | 2021-05-28 | 广东中翔环保建材有限公司 | Glass sorting device and glass sorting method |
| CN115090559A (en) * | 2022-08-26 | 2022-09-23 | 启东市云鹏玻璃机械有限公司 | Glass bottle recycling and impurity removing method and system based on image processing |
Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1584511A (en) * | 2004-05-27 | 2005-02-23 | 西安交通大学 | Intelligent collectingm monitor and collecting monitoring method for large rotary machinery apparatus |
| CN102837406A (en) * | 2012-08-17 | 2012-12-26 | 浙江工业大学 | Mold monitoring method based on FAST-9 image characteristic rapid registration algorithm |
| EP1952106B1 (en) * | 2005-11-04 | 2014-08-27 | George Themelis | System for multispectral imaging |
| US20140310635A1 (en) * | 2006-12-20 | 2014-10-16 | Ventana Medical Systems, Inc. | Quantitative, Multispectral Image Analysis of Tissue Specimens Stained with Quantum Dots |
| CN106694196A (en) * | 2017-02-11 | 2017-05-24 | 广元兴欣废旧物资回收有限公司 | Waste glass medicine bottle smashing, recycling and sorting device and method |
| CN207308383U (en) * | 2017-10-11 | 2018-05-04 | 寻乌县甘霖阳天茶业有限公司 | A kind of discharging device of tea leaf color sorting machine |
| WO2018085531A2 (en) * | 2016-11-03 | 2018-05-11 | Oregon Health & Science University | Multispectral super resolution microscopy |
| CN108120715A (en) * | 2016-11-30 | 2018-06-05 | 中国科学院沈阳自动化研究所 | A kind of corn kernel percentage of damage online test method and device based on machine vision |
| CN207521154U (en) * | 2017-09-19 | 2018-06-22 | 徐靖 | A kind of walnut color selector conveying mechanism of built-in electromagnetic slagging-off separating mechanism |
| CN108554830A (en) * | 2018-02-27 | 2018-09-21 | 天津理工大学 | A kind of discarded glass regenerative system and method based on multispectral photoelectricity identification technology |
-
2018
- 2018-09-28 CN CN201811156561.5A patent/CN109331990A/en active Pending
Patent Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1584511A (en) * | 2004-05-27 | 2005-02-23 | 西安交通大学 | Intelligent collectingm monitor and collecting monitoring method for large rotary machinery apparatus |
| EP1952106B1 (en) * | 2005-11-04 | 2014-08-27 | George Themelis | System for multispectral imaging |
| US20140310635A1 (en) * | 2006-12-20 | 2014-10-16 | Ventana Medical Systems, Inc. | Quantitative, Multispectral Image Analysis of Tissue Specimens Stained with Quantum Dots |
| CN102837406A (en) * | 2012-08-17 | 2012-12-26 | 浙江工业大学 | Mold monitoring method based on FAST-9 image characteristic rapid registration algorithm |
| WO2018085531A2 (en) * | 2016-11-03 | 2018-05-11 | Oregon Health & Science University | Multispectral super resolution microscopy |
| CN108120715A (en) * | 2016-11-30 | 2018-06-05 | 中国科学院沈阳自动化研究所 | A kind of corn kernel percentage of damage online test method and device based on machine vision |
| CN106694196A (en) * | 2017-02-11 | 2017-05-24 | 广元兴欣废旧物资回收有限公司 | Waste glass medicine bottle smashing, recycling and sorting device and method |
| CN207521154U (en) * | 2017-09-19 | 2018-06-22 | 徐靖 | A kind of walnut color selector conveying mechanism of built-in electromagnetic slagging-off separating mechanism |
| CN207308383U (en) * | 2017-10-11 | 2018-05-04 | 寻乌县甘霖阳天茶业有限公司 | A kind of discharging device of tea leaf color sorting machine |
| CN108554830A (en) * | 2018-02-27 | 2018-09-21 | 天津理工大学 | A kind of discarded glass regenerative system and method based on multispectral photoelectricity identification technology |
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111229448A (en) * | 2020-02-12 | 2020-06-05 | 罗仲齐 | Heat-insulating material glass fiber raw material screening device |
| CN111408552A (en) * | 2020-03-25 | 2020-07-14 | 江苏天楹环保能源成套设备有限公司 | Intelligent glass sorting system and method |
| CN111393024A (en) * | 2020-03-26 | 2020-07-10 | 滁州克莱帝玻璃科技有限公司 | Refrigerator glass partition plate prepared from waste glass and method |
| CZ308783B6 (en) * | 2020-08-05 | 2021-05-12 | Rieter Cz S.R.O. | Equipment for assessing impurities in fibrous material |
| CN112536285A (en) * | 2020-11-17 | 2021-03-23 | 中山大学 | Automatic waste glass cleaning and sorting system |
| CN112536285B (en) * | 2020-11-17 | 2022-06-14 | 中山大学 | Automatic waste glass cleaning and sorting system |
| CN112845138A (en) * | 2021-01-29 | 2021-05-28 | 广东中翔环保建材有限公司 | Glass sorting device and glass sorting method |
| CN115090559A (en) * | 2022-08-26 | 2022-09-23 | 启东市云鹏玻璃机械有限公司 | Glass bottle recycling and impurity removing method and system based on image processing |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN109331990A (en) | A kind of fast automatic recycling sort process of post-consumer glass | |
| CN104624505B (en) | A kind of waste plastics separation method based on image recognition and system | |
| CN103495566B (en) | The online separator of ore of view-based access control model recognition technology | |
| JP6037125B2 (en) | Optical granular material sorter | |
| CN102495069B (en) | Method for detecting defects of chain belts of zipper on basis of digital image processing | |
| JP6152845B2 (en) | Optical granular material sorter | |
| CN104096680B (en) | Ore separation system and method based on heating using microwave and infrared linear array imaging | |
| CN206139527U (en) | Panoramic vision potato is selected separately and defect detecting device | |
| CN204710740U (en) | Building waste color separation system | |
| CN106238342A (en) | The sorting of panoramic vision Rhizoma Solani tuber osi and defect detecting device and sorting detection method thereof | |
| CN104138851A (en) | Vibrating feeding and imaging recognition-based large particle material sorting system and method | |
| CN107683183A (en) | Novel intelligent grader and its method with track following sensor network | |
| CN201172046Y (en) | Raisin color-separation device | |
| CN1485616A (en) | Fowl eggs quality non-destruction automatic detection grading apparatus and process | |
| CN202951640U (en) | Color sorter | |
| CN106391506A (en) | Building garbage color sorting system | |
| CN110202716A (en) | Waste product plastic bottle sorting system and its method for sorting | |
| CN105457911A (en) | Automatic bee pollen screening device and screening method | |
| CN201150919Y (en) | Granular material sorting and grading device based on visual identification | |
| CN101439335A (en) | Multifunctional color selection method using colorful charge coupled device | |
| CN105127110B (en) | A kind of automatic fraction collector of universal multispectral imaging mixed plastic | |
| CN112893190A (en) | Plum sorting machine | |
| CN106622988A (en) | High-performance carrot computer vision track defective product removing and length and thickness grading device | |
| CN109849232A (en) | A kind of process in plastics technique | |
| CN102744218A (en) | Tea leaf color sorter |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20190215 |