CN108722717A - A kind of intelligence color identification toning system and method - Google Patents
A kind of intelligence color identification toning system and method Download PDFInfo
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- CN108722717A CN108722717A CN201810479519.0A CN201810479519A CN108722717A CN 108722717 A CN108722717 A CN 108722717A CN 201810479519 A CN201810479519 A CN 201810479519A CN 108722717 A CN108722717 A CN 108722717A
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- 238000000034 method Methods 0.000 title claims abstract description 29
- 238000004458 analytical method Methods 0.000 claims abstract description 51
- 239000003086 colorant Substances 0.000 claims abstract description 28
- 238000004040 coloring Methods 0.000 claims abstract description 20
- 230000008569 process Effects 0.000 claims abstract description 12
- 238000010422 painting Methods 0.000 claims description 6
- 238000007599 discharging Methods 0.000 claims description 3
- 230000008054 signal transmission Effects 0.000 claims description 3
- 230000004075 alteration Effects 0.000 abstract description 14
- 238000001514 detection method Methods 0.000 abstract description 3
- 238000004519 manufacturing process Methods 0.000 description 5
- 238000004043 dyeing Methods 0.000 description 3
- 238000005516 engineering process Methods 0.000 description 3
- 238000013473 artificial intelligence Methods 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 239000004615 ingredient Substances 0.000 description 2
- 239000004922 lacquer Substances 0.000 description 2
- 239000003973 paint Substances 0.000 description 2
- 239000002994 raw material Substances 0.000 description 2
- 238000005034 decoration Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 238000009776 industrial production Methods 0.000 description 1
- 230000010354 integration Effects 0.000 description 1
- 230000003993 interaction Effects 0.000 description 1
- 239000000049 pigment Substances 0.000 description 1
- 238000002360 preparation method Methods 0.000 description 1
- 238000006748 scratching Methods 0.000 description 1
- 230000002393 scratching effect Effects 0.000 description 1
- 230000001953 sensory effect Effects 0.000 description 1
- 239000007787 solid Substances 0.000 description 1
- 239000004753 textile Substances 0.000 description 1
- 238000011282 treatment Methods 0.000 description 1
- 230000000007 visual effect Effects 0.000 description 1
Classifications
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/04—Programme control other than numerical control, i.e. in sequence controllers or logic controllers
- G05B19/042—Programme control other than numerical control, i.e. in sequence controllers or logic controllers using digital processors
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B05—SPRAYING OR ATOMISING IN GENERAL; APPLYING FLUENT MATERIALS TO SURFACES, IN GENERAL
- B05D—PROCESSES FOR APPLYING FLUENT MATERIALS TO SURFACES, IN GENERAL
- B05D5/00—Processes for applying liquids or other fluent materials to surfaces to obtain special surface effects, finishes or structures
- B05D5/005—Repairing damaged coatings
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B05—SPRAYING OR ATOMISING IN GENERAL; APPLYING FLUENT MATERIALS TO SURFACES, IN GENERAL
- B05B—SPRAYING APPARATUS; ATOMISING APPARATUS; NOZZLES
- B05B12/00—Arrangements for controlling delivery; Arrangements for controlling the spray area
- B05B12/08—Arrangements for controlling delivery; Arrangements for controlling the spray area responsive to condition of liquid or other fluent material to be discharged, of ambient medium or of target ; responsive to condition of spray devices or of supply means, e.g. pipes, pumps or their drive means
- B05B12/12—Arrangements for controlling delivery; Arrangements for controlling the spray area responsive to condition of liquid or other fluent material to be discharged, of ambient medium or of target ; responsive to condition of spray devices or of supply means, e.g. pipes, pumps or their drive means responsive to conditions of ambient medium or target, e.g. humidity, temperature position or movement of the target relative to the spray apparatus
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
- G01J3/00—Spectrometry; Spectrophotometry; Monochromators; Measuring colours
- G01J3/46—Measurement of colour; Colour measuring devices, e.g. colorimeters
- G01J3/50—Measurement of colour; Colour measuring devices, e.g. colorimeters using electric radiation detectors
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
- G01J3/00—Spectrometry; Spectrophotometry; Monochromators; Measuring colours
- G01J3/46—Measurement of colour; Colour measuring devices, e.g. colorimeters
- G01J2003/467—Colour computing
Abstract
The invention discloses a kind of intelligent color identification toning system and methods.The identification toning system includes laser color recognition module, color analysis module, automatic control module, color analysis feed block, color collation process module and colouring module；The color component of laser color recognition module detection testee is simultaneously converted to data-signal；Color analysis module converts data-signal to instruction；Automatic control module carries out primary colours proportioning；Color analysis feed block filters out corresponding colorant data from different type and different types of feed memory；Color collation process module carries out color recognition to colorant data, and is compared and analyzed with data-signal, and automatic control module judges whether comparison analysis result is consistent, unanimously then directly assigns instruction and realizes Automatic-feeding, completes colouring；It is inconsistent, it updates the data signal return and re-starts analyzing processing.Invention intelligent automation degree is high, can effectively reduce aberration, realizes from detecting operation integral type.
Description
Technical field
The present invention relates to color identification technology field, especially a kind of intelligent color identification toning system and method.
Background technology
Development with modern industrial production to high speed, automation direction, color identification are widely used in various industry
Detection and automation field, and in production process for a long time with come played a leading role by human eye color identification work will increasingly
Mostly substituted by corresponding color sensor.Multicoloured color has given us beautiful enjoyment in life, we without when without
It carves not in the visual sensory, including our clothes, automobile, furniture, sign etc. for receiving color and being brought to us.Color
From different field, different and important interaction is suffered from.
However aberration is for more colors identify and paint, and is all urgent problem.Solid color is come
It says and selects color identification relatively easy, can be very big if it is multiple color mixing or gradient color that identification difficulty, it be extremely difficult to color
Unanimously.Such as：In automotive lacquer industry, automobile needs colouring of painting again because scratching, it is desirable to after the completion as new,
But inevitably have part aberration.
There are many reason of causing aberration：On the one hand it is caused by the quality due to raw material paint；On the other hand it is to be allocated
Formula rate influenced.The influence of ambient will also result in aberration in match color procedure, to influence the one of final color
Cause property.For another example, in dyeing, the product of the different batches of basic same color there will certainly be aberration, and reason has can
It can be that there are aberration for benchmark raw material color, on the other hand be the error that allotment proportioning occurs, in a word meeting in industry production operation process
There is the difference that various reasons can lead to color.
Present market is without similar products, and in the production processes such as present printing and dyeing and automotive lacquer, color is matched by primary colors
It determines, proportioning color is generally gone according to the knowhow of worker, colour table is first acted on after having debugged sample colorant.Then lead to again
It crosses to visually observe and whether there is aberration in aim colour, if there is aberration, readjust colorant proportioning, act on colour table again, then
It compares inferior to aim colour, until naked eyes are felt without too big aberration or consistent basic colors.However this method
Aberration can not be effectively eliminated, and from visually recognizing artificial colouring, heavy workload, efficiency is low.
Invention content
The object of the present invention is to provide a kind of intelligent color identification toning system and methods, and intelligent automation degree is high,
It can effectively reduce aberration, realize from detecting operation integral type.
To achieve the above object, the present invention provides following schemes：
A kind of intelligence color identifies toning system, including laser color recognition module, color analysis module, automatically controls mould
Block, color analysis feed block, color collation process module and colouring module；
The laser color recognition module, the color for detecting testee by the trichromatic lasing light emitters of standard RGB
Ingredient is simultaneously converted to data signal transmission to the color analysis module；
The color analysis module, the data-signal for coming to the laser color recognition module transfer are converted to finger
The automatic control module is reached under order；
The automatic control module, the instruction for being conveyed according to the color analysis module carry out primary colours proportioning, and will
Proportioning data-signal sends the color analysis feed block to；
The color analysis feed block, proportioning data-signal for being transmitted according to the automatic control module is from difference
Corresponding colorant data is filtered out in type and different types of feed memory；
The color collation process module, the colorant data for providing the color analysis feed block carry out color
Identification, and the data-signal provided with the color analysis module compares and analyzes, and compares analysis result data and feeds back to institute
State automatic control module；
The automatic control module judges whether the comparison analysis result of the color collation process module feedback is consistent, if
It is then directly to assign instruction to realize Automatic-feeding, completes colouring；If it is not, then updating the data-signal is back to the color
Analysis module re-starts analyzing processing；
The colouring module, the colorant data for being provided according to automatic control module automatically control time of discharging and bright
Degree realizes automatic colouring.
Optionally, the laser color recognition module is additionally operable to store the data-signal.
Optionally, the color analysis module also has ability of self-teaching, is analyzed according to parameter set by user
Processing.
A kind of intelligence color identification painting methods, including：
It obtains the color component of object to be detected and is converted to data-signal；
Convert the data-signal to instruction；
Primary colours proportioning is carried out according to described instruction, generates proportioning data；
According to the proportioning data corresponding pigment number is filtered out from different type and different types of feed memory
According to；
Color recognition is carried out to the colorant data, and is compared and analyzed with the data-signal, obtains comparing analysis
As a result；
Judge whether the comparison analysis result is consistent, if so, realizing Automatic-feeding, completes colouring；If it is not, then updating
The data-signal return is described to be carried out analyzing processing to the data-signal and is converted into instruction.
According to specific embodiment provided by the invention, the invention discloses following technique effects：
The present invention provides a kind of intelligent color identification toning system and methods, solve the color of intelligent recognition object
And accurate data are converted to, matched automatically to feed unit, completion is automatically controlled according to the data distributing obtained by computer
Than toning, while realizing a set of intelligence system of automatic colouring, intelligent automation degree is high, can effectively reduce aberration, realize from
Detect operation integral type.
Description of the drawings
It in order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, below will be to institute in embodiment
Attached drawing to be used is needed to be briefly described, it should be apparent that, the accompanying drawings in the following description is only some implementations of the present invention
Example, for those of ordinary skill in the art, without having to pay creative labor, can also be according to these attached drawings
Obtain other attached drawings.
Fig. 1 is the structural schematic diagram that a kind of intelligent color of the embodiment of the present invention identifies toning system；
Fig. 2 is the flow chart that a kind of intelligent color of the embodiment of the present invention identifies painting methods.
Specific implementation mode
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation describes, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts every other
Embodiment shall fall within the protection scope of the present invention.
The object of the present invention is to provide a kind of intelligent color identification toning system and methods, and intelligent automation degree is high,
It can effectively reduce aberration, realize from detecting operation integral type.
In order to make the foregoing objectives, features and advantages of the present invention clearer and more comprehensible, below in conjunction with the accompanying drawings and specific real
Applying mode, the present invention is described in further detail.
Fig. 1 is the structural schematic diagram that a kind of intelligent color of the embodiment of the present invention identifies toning system.
As shown in Figure 1, a kind of intelligence color identifies toning system, including laser color recognition module 101, color analysis mould
Block 102, automatic control module 103, color analysis feed block 104, color collation process module 105 and colouring module 106；
The laser color recognition module 101, the face for detecting testee by the trichromatic lasing light emitters of standard RGB
Color ingredient is simultaneously converted to data signal transmission to the color analysis module 102；
The color analysis module 102, the data-signal for being transmitted to the laser color recognition module 101 turn
Instruction issuing is changed to the automatic control module 103；
The automatic control module 103, the instruction for being conveyed according to the color analysis module 102 carry out primary colours and match
Than, and send proportioning data-signal to the color analysis feed block 104；
The color analysis feed block 104, the proportioning data-signal for being transmitted according to the automatic control module 103
Corresponding colorant data is filtered out from different type and different types of feed memory；
The color collation process module 105, colorant data for providing to the color analysis feed block 104 into
Row color recognition, and the data-signal provided with the color analysis module 102 compares and analyzes, and compares analysis result data
Feed back to the automatic control module 103；
The automatic control module 103 judges whether is comparison analysis result that the color collation process module 105 is fed back
Unanimously, if so, directly assigning instruction realizes Automatic-feeding, colouring is completed；If it is not, then updating the data-signal is back to institute
It states color analysis module 102 and re-starts analyzing processing；
The colouring module 106, the colorant data for being provided according to automatic control module 103 automatically control discharging when
Between and brightness, realize automatic colouring.
The laser color recognition module 101 is additionally operable to store the data-signal.
The color analysis module 102 also has ability of self-teaching, and analyzing processing is carried out according to parameter set by user.
Fig. 2 is the flow chart that a kind of intelligent color of the embodiment of the present invention identifies painting methods.
As shown in Fig. 2, a kind of intelligence color identifies painting methods, including：
Step 201：It obtains the color component of object to be detected and is converted to data-signal；
Step 202：Convert the data-signal to instruction；
Step 203：Primary colours proportioning is carried out according to described instruction, generates proportioning data；
Step 204：According to the proportioning data correspondence is filtered out from different type and different types of feed memory
Colorant data；
Step 205：Color recognition is carried out to the colorant data, and is compared and analyzed with the data-signal, is obtained
Compare analysis result；
Step 206：Judge whether the comparison analysis result is consistent, if so, realizing Automatic-feeding, completes colouring；If
It is no, then it updates the data-signal and returns and described analyzing processing is carried out to the data-signal and is converted into instruction.
A kind of intelligent color identification toning system of present invention offer and method, intelligent automatic integratedization degree is high, really in fact
Show and has detected the integration production for being automatically performed color treatments from testee；It has wide range of applications, can be for automobile
The industry fields such as manufacture, dyeing textile, printing, building, decoration have good function；Improve operation precision and
Working efficiency；It economizes on resources, save the time, efficient work is made accurately to reduce error；At the detection and analysis of intelligence science
Reason, effectively avoids the error brought due to the objective factor of human factor；Artificial intelligence self-correcting is added.By artificial
Intelligence is that system assigns intelligent ecological running environment, and by continuous self-correcting and self-teaching, higher speed efficiently services
In the key job of every profession and trade field.
Principle and implementation of the present invention are described for specific case used herein, and above example is said
The bright method and its core concept for being merely used to help understand the present invention；Meanwhile for those of ordinary skill in the art, foundation
The thought of the present invention, there will be changes in the specific implementation manner and application range.In conclusion the content of the present specification is not
It is interpreted as limitation of the present invention.
Claims (4)
1. it is a kind of intelligence color identify toning system, which is characterized in that including laser color recognition module, color analysis module,
Automatic control module, color analysis feed block, color collation process module and colouring module；
The laser color recognition module, the color component for detecting testee by the trichromatic lasing light emitters of standard RGB
And data signal transmission is converted to the color analysis module；
The color analysis module, the data-signal for coming to the laser color recognition module transfer are converted under instruction
Reach the automatic control module；
The automatic control module, the instruction for being conveyed according to the color analysis module carry out primary colours proportioning, and will proportioning
Data-signal sends the color analysis feed block to；
The color analysis feed block, proportioning data-signal for being transmitted according to the automatic control module is from different type
Corresponding colorant data is filtered out in different types of feed memory；
The color collation process module, the colorant data for providing the color analysis feed block carry out color knowledge
Not, and with the color analysis module data-signal provided compares and analyzes, and comparison analysis result data feeds back to described
Automatic control module；
The automatic control module judges whether the comparison analysis result of the color collation process module feedback is consistent, if so,
It then directly assigns instruction and realizes Automatic-feeding, complete colouring；If it is not, then updating the data-signal is back to the color analysis
Module re-starts analyzing processing；
The colouring module, the colorant data for being provided according to automatic control module automatically control time and the brightness of discharging,
Realize automatic colouring.
2. a kind of intelligent color according to claim 1 identifies toning system, which is characterized in that the laser color recognition
Module is additionally operable to store the data-signal.
3. a kind of intelligent color according to claim 1 identifies toning system, which is characterized in that the color analysis module
Also there is ability of self-teaching, analyzing processing is carried out according to parameter set by user.
4. a kind of intelligence color identifies painting methods, which is characterized in that including：
It obtains the color component of object to be detected and is converted to data-signal；
Convert the data-signal to instruction；
Primary colours proportioning is carried out according to described instruction, generates proportioning data；
According to the proportioning data corresponding colorant data is filtered out from different type and different types of feed memory；
Color recognition is carried out to the colorant data, and is compared and analyzed with the data-signal, obtains comparing analysis result；
Judge whether the comparison analysis result is consistent, if so, realizing Automatic-feeding, completes colouring；If it is not, then described in update
Data-signal return is described to be carried out analyzing processing to the data-signal and is converted into instruction.
Priority Applications (3)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810479519.0A CN108722717B (en) | 2018-05-18 | 2018-05-18 | A kind of intelligence color identification toning system and method |
| CH001094/2019A CH715177B1 (en) | 2018-05-18 | 2018-09-12 | Color recognition and coloring processes. |
| PCT/CN2018/105218 WO2019218549A1 (en) | 2018-05-18 | 2018-09-12 | Intelligent color identification and coloring system and method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810479519.0A CN108722717B (en) | 2018-05-18 | 2018-05-18 | A kind of intelligence color identification toning system and method |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN108722717A true CN108722717A (en) | 2018-11-02 |
| CN108722717B CN108722717B (en) | 2019-10-25 |
Family
ID=63937649
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| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201810479519.0A Active CN108722717B (en) | 2018-05-18 | 2018-05-18 | A kind of intelligence color identification toning system and method |
Country Status (3)
| Country | Link |
|---|---|
| CN (1) | CN108722717B (en) |
| CH (1) | CH715177B1 (en) |
| WO (1) | WO2019218549A1 (en) |
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109629159A (en) * | 2019-01-07 | 2019-04-16 | 东莞百宏实业有限公司 | A kind of coloring system and colouring method of high efficiency smart |
| CN110237960A (en) * | 2019-06-14 | 2019-09-17 | 河南理工大学 | A kind of electromechanical integration fast spraying device |
| CN110394872A (en) * | 2019-07-12 | 2019-11-01 | 浙江水墨江南新材料科技有限公司 | A kind of board surface makees old dyeing automatic processing line and board surface does old colouring method |
| CN110433000A (en) * | 2019-08-06 | 2019-11-12 | 杨洁 | A kind of object painting methods, device, equipment and storage medium |
| CN110530411A (en) * | 2019-07-08 | 2019-12-03 | 金榀精密工业(苏州)有限公司 | Intelligent supplied materials detects designation system |
| CN110721628A (en) * | 2019-10-21 | 2020-01-24 | 哈尔滨工业大学 | Emulsion paint coating color mixer |
| CN117369546A (en) * | 2023-11-14 | 2024-01-09 | 广东交通职业技术学院 | Wall paint color collection and matching system, method and intelligent paint brush |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111563881A (en) * | 2020-04-17 | 2020-08-21 | 北京数制科技有限公司 | Pantong color system-based color distinguishing method, device, equipment and storage medium |
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- 2018-09-12 WO PCT/CN2018/105218 patent/WO2019218549A1/en active Application Filing
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| US20020163641A1 (en) * | 2001-05-01 | 2002-11-07 | Shroder Robert E. | Color measuring sensor assembly for spectrometer devices |
| CN101180523A (en) * | 2005-05-05 | 2008-05-14 | 纳幕尔杜邦公司 | Color clustering technique for matching refinish paints |
| CN203004941U (en) * | 2013-01-18 | 2013-06-19 | 河北工业大学 | Pigment automatic mixing device |
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Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109629159A (en) * | 2019-01-07 | 2019-04-16 | 东莞百宏实业有限公司 | A kind of coloring system and colouring method of high efficiency smart |
| CN110237960A (en) * | 2019-06-14 | 2019-09-17 | 河南理工大学 | A kind of electromechanical integration fast spraying device |
| CN110530411A (en) * | 2019-07-08 | 2019-12-03 | 金榀精密工业(苏州)有限公司 | Intelligent supplied materials detects designation system |
| CN110394872A (en) * | 2019-07-12 | 2019-11-01 | 浙江水墨江南新材料科技有限公司 | A kind of board surface makees old dyeing automatic processing line and board surface does old colouring method |
| CN110394872B (en) * | 2019-07-12 | 2024-01-09 | 浙江水墨江南新材料科技有限公司 | Automatic processing line for wood board surface distressing dyeing and wood board surface distressing dyeing method |
| CN110433000A (en) * | 2019-08-06 | 2019-11-12 | 杨洁 | A kind of object painting methods, device, equipment and storage medium |
| CN110721628A (en) * | 2019-10-21 | 2020-01-24 | 哈尔滨工业大学 | Emulsion paint coating color mixer |
| CN117369546A (en) * | 2023-11-14 | 2024-01-09 | 广东交通职业技术学院 | Wall paint color collection and matching system, method and intelligent paint brush |
Also Published As
| Publication number | Publication date |
|---|---|
| WO2019218549A1 (en) | 2019-11-21 |
| CH715177B1 (en) | 2023-12-29 |
| CN108722717B (en) | 2019-10-25 |
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