CN110530411A - Intelligent supplied materials detects designation system - Google Patents
Intelligent supplied materials detects designation system Download PDFInfo
- Publication number
- CN110530411A CN110530411A CN201910609448.6A CN201910609448A CN110530411A CN 110530411 A CN110530411 A CN 110530411A CN 201910609448 A CN201910609448 A CN 201910609448A CN 110530411 A CN110530411 A CN 110530411A
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- Prior art keywords
- color
- product
- supplied materials
- parameter
- intelligent
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Classifications
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- 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
- B05B12/14—Arrangements for controlling delivery; Arrangements for controlling the spray area for supplying a selected one of a plurality of liquids or other fluent materials or several in selected proportions to a spray apparatus, e.g. to a single spray outlet
- B05B12/1418—Arrangements for controlling delivery; Arrangements for controlling the spray area for supplying a selected one of a plurality of liquids or other fluent materials or several in selected proportions to a spray apparatus, e.g. to a single spray outlet for supplying several liquids or other fluent materials in selected proportions to a single spray outlet
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B22—CASTING; POWDER METALLURGY
- B22D—CASTING OF METALS; CASTING OF OTHER SUBSTANCES BY THE SAME PROCESSES OR DEVICES
- B22D19/00—Casting in, on, or around objects which form part of the product
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
- G01D21/00—Measuring or testing not otherwise provided for
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- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Mechanical Engineering (AREA)
- General Factory Administration (AREA)
Abstract
Intelligence supplied materials of the present invention detects designation system, comprising: supplied materials scanned copy；Carry out product parameters reading；Parameter reads part: reading supplied materials scanned copy and reads parameters obtained；Color mixing setting module: by reading color corresponding part corresponding color colour atla number, the corresponding mixed ratio part of control color carries out corresponding color and blendes together；Including deep learning module: it is used cooperatively with color mixing setting module, the color by introducing a variety of different colours colour atlas number matches, when needing paint color beyond color included by colour atla label, the corresponding setting for carrying out close color sensation color of intelligence；Spray position setting module: read parameter read part parameters obtained, same specification product in be set in same position carry out color spraying；Color spraying part: being controlled by color mixing setting module, carries out the acquisition for color, and carry out color in the spraying of setting position.
Description
Technical field
The present invention relates to automatic producing technologies, it is especially useful in die cast Intelligent Machining technology, specifically, it shows one
The intelligent supplied materials of kind detects designation system.
Background technique
Die cast is widely used in the preparation of aluminum component product, especially intensity requirement and the high garage of matching requirements degree
Industry.
Product at this stage, the classification of product carry out manual record product after unified storage to product after generally producing
Specifications and models after production, in use, are difficult to learn its model specification, and can not carry out product back-tracing, occur
Origin investigation can not be carried out when product quality problem.
Therefore, it is necessary to provide a kind of intelligent supplied materials detection designation system to solve the above problems.
Summary of the invention
The object of the present invention is to provide a kind of intelligent supplied materials detection designation systems to be joined product by intelligentized reading
Number quickly corresponds to outer non-economic, realizes Fast Labeling, and according to deep learning system, carries out the fast transfer setting of parameter, protect
Demonstrate,prove the quick, intelligent realization of product labelling.
Technical solution is as follows:
It is a kind of intelligence supplied materials detection designation system include:
Supplied materials scanned copy；Carry out product parameters reading；
Parameter reads part: reading supplied materials scanned copy and reads parameters obtained；
Color mixing setting module: by reading color corresponding part corresponding color colour atla number, the corresponding mixed ratio of control color
Part carries out corresponding color and blendes together；
Including deep learning module: being used cooperatively with color mixing setting module, by introducing a variety of different colours colour atlas
Number color proportion, when needing paint color beyond color included by colour atla label, intelligence is corresponding to carry out close color sensation face
The setting of color；
Spray position setting module: read parameter read part parameters obtained, same specification product in be set in same position into
Row color spraying；
Color spraying part: being controlled by color mixing setting module, carries out the acquisition for color, and carry out color in setting
The spraying of position.
Supplied materials scanned copy is made of high definition CDD camera or AI camera.
Further, product parameters include: product direct parameter part；
Color corresponding part: according to product direct parameter part, corresponding RGB color colour atla number carries out choosing a color color
Card number；
Production directly records part: including production batch, production mould number and manufacturer correspondence number；
Further, product direct parameter part includes the parameters such as the size of product, corresponding assembly product.
Further, color colour atla number is chosen for the production time for sequence, according to different manufacturing parameter corresponding colors
Colour atla number carries out corresponding selection.
Further, the color colour atla number of close color sensation is subjected to group's setting, and according to its number order standard configuration, produced
To one of same manufacturing parameter product, according to the production time be sequence carry out reference numeral selection.
Further, by by product referring in advance prior to being correspondingly arranged die cavity on mold, after die cast seldom in product
Seeing on portion surface can be obtained relevant parameter.
Further, by steel seal marking mode, in printing relevant parameter on the uncommon portion surface of product.
Compared with prior art, product parameters can quickly be corresponded to outer non-economic by intelligentized reading by the present invention, real
Existing Fast Labeling, and according to deep learning system, the fast transfer setting of parameter is carried out, guarantees the quick, intelligent reality of product labelling
It is existing.
Detailed description of the invention
Fig. 1 is system schematic of the invention.
Specific embodiment
Embodiment:
The present embodiment shows a kind of intelligent supplied materials detection designation system, with the Fast Labeling system based on parameter transition formula
Based on, by introducing intelligent measurement, realize that label fast implements；
It is carved into intelligent supplied materials detection designation system in the uncommon portion's progress parameter of product, and it is corresponding that corresponding parameter carries out color
After conversion, by corresponding color be sprayed at outside product can common fixed position, the specific method is as follows:
1) product parameters setting is carried out, product parameters include:
Product direct parameter part；
Color corresponding part: according to product direct parameter part, corresponding RGB color colour atla number carries out choosing a color color
Card number；
Production directly records part: including production batch, production mould number and manufacturer correspondence number；
2) in product preparation process, product parameters are set to the uncommon portion of product；
3) read step 2) product parameters, and correspondence be converted to corresponding RGB color card number color；
4) one outside common site of product is chosen；
5) the resulting color of step 3) is sprayed, rear correspondence is stored in a warehouse.
Product direct parameter part includes the parameters such as the size of product, corresponding assembly product.
Color colour atla number is chosen for the production time as sequence, is carried out according to different manufacturing parameter corresponding color colour atlas number
It is corresponding to choose.
The color colour atla number of close color sensation is subjected to group's setting, and according to its number order standard configuration, is produced wherein
One of same manufacturing parameter product, according to the production time be sequence carry out reference numeral selection.
Product parameters, which are set to, takes the following two kinds mode at product uncommon portion's quarter:
1) by by product referring in advance prior to being correspondingly arranged die cavity on mold, in the uncommon portion surface of product after die cast
On can be obtained relevant parameter；
2) by steel seal marking mode, in printing relevant parameter on the uncommon portion surface of product.
Intelligent supplied materials detects designation system
Supplied materials scanned copy 100；Carry out product parameters reading；
Parameter reads part 200: reading supplied materials scanned copy and reads parameters obtained；
Color mixing setting module 300: by reading color corresponding part corresponding color colour atla number, corresponding control color is mixed
Corresponding color is carried out than part to blend together；
Including deep learning module 400: being used cooperatively with color mixing setting module, by introducing a variety of different colours colors
The color of card number matches, and when needing paint color beyond color included by colour atla label, intelligence is corresponding to carry out close color sensation
The setting of color；
It sprays position setting module 500: reading parameter and read part parameters obtained, same specification product is in being set in same position
Carry out color spraying；
Color spraying part 600: being controlled by color mixing setting module, carries out acquisition for color, and carry out color in
The spraying of setting position.
Supplied materials scanned copy is made of high definition CDD camera or AI camera.
Compared with prior art, the present invention can realize Fast Labeling, mark by the way that product parameters are quickly corresponded to outer non-economic
Product after note can quickly be stored according to label, carry out guaranteeing product according to label Fast Classification in use
Preparation efficiency and use trackability；Simultaneously by intelligentized reading, product parameters are quickly corresponded into outer non-economic, are realized fast
Speed label, and according to deep learning system, the fast transfer setting of parameter is carried out, guarantees the quick, intelligent realization of product labelling.
Above-described is only some embodiments of the present invention.For those of ordinary skill in the art, not
Under the premise of being detached from the invention design, various modifications and improvements can be made, these belong to protection model of the invention
It encloses.
Claims (8)
1. a kind of intelligence supplied materials detects designation system, it is characterised in that: include:
Supplied materials scanned copy；Carry out product parameters reading；
Parameter reads part: reading supplied materials scanned copy and reads parameters obtained；
Color mixing setting module: by reading color corresponding part corresponding color colour atla number, corresponding control color is mixed to compare part
Corresponding color is carried out to blend together；
Deep learning module: being used cooperatively with color mixing setting module, by the color for introducing a variety of different colours colour atlas number
Proportion, when needing paint color beyond color included by colour atla label, the corresponding setting for carrying out close color sensation color of intelligence；
Spray position setting module: read parameter read part parameters obtained, same specification product in be set in same position carry out face
Color spraying；
Color spraying part: being controlled by color mixing setting module, carries out the acquisition for color, and carry out color in setting position
Spraying.
2. a kind of intelligent supplied materials according to claim 1 detects designation system, it is characterised in that: supplied materials scanned copy is by high definition
CDD camera or AI camera are constituted.
3. a kind of intelligent supplied materials according to claim 2 detects designation system, it is characterised in that: product parameters include:
Product direct parameter part；
Color corresponding part: according to product direct parameter part, corresponding RGB color colour atla number carries out choosing a color colour atla
Number；
Production directly records part: including production batch, production mould number and manufacturer correspondence number.
4. a kind of intelligent supplied materials according to claim 3 detects designation system, it is characterised in that: product direct parameter part
The parameters such as size, corresponding assembly product including product.
5. a kind of intelligent supplied materials according to claim 4 detects designation system, it is characterised in that: color colour atla number is chosen for
The production time is sequence, carries out corresponding selection according to different manufacturing parameter corresponding color colour atlas number.
6. a kind of intelligence supplied materials detection designation system according to claim 3-5 any one, it is characterised in that: will be close
One of the color colour atla number of color sensation carries out group's setting, and according to its number order standard configuration, and production obtains same production ginseng
Number product is that sequence carries out reference numeral selection according to the production time.
7. a kind of intelligent supplied materials according to claim 6 detects designation system, it is characterised in that: by the way that product reference is pre-
Prior to being correspondingly arranged die cavity on mold, in can be obtained relevant parameter on the uncommon portion surface of product after die cast.
8. a kind of intelligent supplied materials according to claim 6 detects designation system, it is characterised in that: pass through steel seal marking mould
Formula, in printing relevant parameter on the uncommon portion surface of product.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910609448.6A CN110530411A (en) | 2019-07-08 | 2019-07-08 | Intelligent supplied materials detects designation system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910609448.6A CN110530411A (en) | 2019-07-08 | 2019-07-08 | Intelligent supplied materials detects designation system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN110530411A true CN110530411A (en) | 2019-12-03 |
Family
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| Application Number | Title | Priority Date | Filing Date |
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| CN201910609448.6A Pending CN110530411A (en) | 2019-07-08 | 2019-07-08 | Intelligent supplied materials detects designation system |
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Citations (7)
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|---|---|---|---|---|
| CN102915452A (en) * | 2012-10-12 | 2013-02-06 | 广东欧珀移动通信有限公司 | Method and device for acquiring color card number corresponding to color |
| CN104636867A (en) * | 2015-01-30 | 2015-05-20 | 广州盖特软件有限公司 | Method and device for quickly generating material code from texture in ERP system |
| CN106295936A (en) * | 2015-05-29 | 2017-01-04 | 深圳镭博万科技有限公司 | Wheel hub type identification device and wheel hub mark system for tracing and managing |
| CN106583682A (en) * | 2016-12-25 | 2017-04-26 | 重庆德运模具制造有限公司 | Tracing method for cast production information and prefix of tracing characteristics of casting production information |
| CN107249783A (en) * | 2015-02-18 | 2017-10-13 | 尼玛克股份有限公司 | Method for marking casting |
| US20180052053A1 (en) * | 2015-05-12 | 2018-02-22 | Don Atkinson | Universal color tag and tracing system |
| CN108722717A (en) * | 2018-05-18 | 2018-11-02 | 张晔 | A kind of intelligence color identification toning system and method |
-
2019
- 2019-07-08 CN CN201910609448.6A patent/CN110530411A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102915452A (en) * | 2012-10-12 | 2013-02-06 | 广东欧珀移动通信有限公司 | Method and device for acquiring color card number corresponding to color |
| CN104636867A (en) * | 2015-01-30 | 2015-05-20 | 广州盖特软件有限公司 | Method and device for quickly generating material code from texture in ERP system |
| CN107249783A (en) * | 2015-02-18 | 2017-10-13 | 尼玛克股份有限公司 | Method for marking casting |
| US20180052053A1 (en) * | 2015-05-12 | 2018-02-22 | Don Atkinson | Universal color tag and tracing system |
| CN106295936A (en) * | 2015-05-29 | 2017-01-04 | 深圳镭博万科技有限公司 | Wheel hub type identification device and wheel hub mark system for tracing and managing |
| CN106583682A (en) * | 2016-12-25 | 2017-04-26 | 重庆德运模具制造有限公司 | Tracing method for cast production information and prefix of tracing characteristics of casting production information |
| CN108722717A (en) * | 2018-05-18 | 2018-11-02 | 张晔 | A kind of intelligence color identification toning system and method |
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| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20191203 |
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| RJ01 | Rejection of invention patent application after publication |