CN106650757A - Technique for identifying coal and coal gangue by using brightness recognition method - Google Patents
Technique for identifying coal and coal gangue by using brightness recognition method Download PDFInfo
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- CN106650757A CN106650757A CN201610885559.6A CN201610885559A CN106650757A CN 106650757 A CN106650757 A CN 106650757A CN 201610885559 A CN201610885559 A CN 201610885559A CN 106650757 A CN106650757 A CN 106650757A
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- coal
- brightness
- gangue
- white led
- industrial camera
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/88—Image or video recognition using optical means, e.g. reference filters, holographic masks, frequency domain filters or spatial domain filters
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- General Physics & Mathematics (AREA)
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Abstract
The invention discloses a technique for identifying coal and coal gangue by using a brightness recognition method. A host, an industrial camera, a left white Led-surface light source, a right white Led-surface light source, a shell and a raw coal conveyor belt machine are arranged. The host is arranged above the shell; the industrial camera is installed right below the shell; the left white Led-surface light source and the right white Led-surface light source are installed at the two sides of the shell; and the raw coal conveyor belt machine is arranged below the industrial camera. The technique has the following beneficial effects: firstly, coal and coal gangue are identified efficiently by using a brightness recognition method and the human-eye-based recognition way in the manual hand selection method is replaced, so that the identification work efficiency can be improved and the identification rate can be greatly improved; and secondly, compared with the existing moving sieving and dense-medium shallow-slot way with water and dense medium for recognition separation, the provided technique has advantages that no medium is used and water body pollution can be prevented. Meanwhile, the technique has advantages of small equipment size, low cost, and low operation cost.
Description
Technical field
The present invention relates to the technology being identified to the coal in raw coal and gangue brightness method of identification.
Background technology
Affect the quality of raw coal ature of coal, mainly due in raw coal contained gangue number determined;If can remove
These gangues, the quality of raw coal just can be greatly improved.Want to remove these gangues, first have to coal and gangue energy
Effectively identification.
The major way of gangue is recognized at present:One be in artificial hand selection by eyes knowledge otherwise (efficiency is low, identification
Rate is low);Two is different with the proportion of gangue and known by the way of the dynamic sieve and dense-medium shallow-tank of water and dense medium according to coal
(water pollution Fen Li not be caused).
The content of the invention
To solve the above problems, the present invention provides a kind of technology being identified to coal and gangue with brightness method of identification.
The technical solution used in the present invention is:The technology that a kind of employing brightness method of identification is identified to coal and gangue,
Comprising main frame, industrial camera, left side white Led area sources, right side white Led area sources, housing and raw coal belt conveyer, shell
Main frame is disposed with above body;Industrial camera is installed immediately below housing;The both sides of housing are provided with left side white Led faces light
Source and right side white Led area sources;It is raw coal belt conveyer below industrial camera.
The invention has the advantages that:
1st, efficient identification is carried out to coal and gangue using brightness method of identification, is instead of in artificial hand selection by the identification of eyes
Mode, improve identification operating efficiency, discrimination power is also greatly improved.
2nd, compare with dense-medium shallow-tank with being identified detached dynamic sieve by the way of water with dense medium, with not using Jie
Matter, prevents the advantage of water pollution.Have equipment volume little simultaneously, low cost, the low advantage of operating cost.
Description of the drawings
Technical scheme is further illustrated with reference to the accompanying drawings and detailed description.
It as shown is patent structure schematic diagram of the present invention
In accompanying drawing:1- main frames, 2- industrial cameras, 3- left sides white Led area sources, 4- right sides white Led area sources, 5- shells
Body, 6- raw coal belt conveyers.
Specific embodiment
As illustrated, the technology that a kind of employing brightness method of identification is identified to coal and gangue, comprising main frame 1, industry
Camera 2, left side white Led area source 3, right side white Led area sources 4, housing 5 and raw coal belt conveyer 6, housing 5 it is upper
Side is disposed with main frame 1;The underface of housing 5 is provided with industrial camera 2;The both sides of housing 5 are provided with left side white Led area sources
3 and right side white Led area sources 4;The lower section of industrial camera 2 is raw coal belt conveyer 6.
The present invention operation principle be:
Coal and gangue in raw coal, Jing raw coal belt conveyer 6 is delivered to immediately below industrial camera 2;By white Led
After area source illuminates, industrial camera 2 just captures the coloured image feature of coal and gangue, and coloured image feature is sent to into master
After machine 1;Image is converted into gray-scale map by system in main frame 1, and the span of gray value is 0-255, and the bigger brightness of value is higher, more
Little brightness is lower, and the coal in raw coal is different with the brightness of gangue, and it is low to show as coal brightness, and gangue brightness is high.
It is to solve this to ask but because raw coal is that stereostructural shape is different, therefore each cannot realize uniform illumination to it
Topic, by coloured image HSV space is transformed into.HSV represents respectively form and aspect (H), saturation degree (S), brightness (V). it is former in V passages
The brightness of image in each face of coal is consistent.
Now, then calculate the area of the high part of brightness and the ratio of monoblock raw coal area, ratio it is big be defined as bastard coal
Stone, ratio coefficient it is little be defined as coal.
Or calculate the area of the low part of brightness and the ratio of monoblock raw coal area, ratio it is big be defined as coal, ratio
Coefficient it is little be defined as gangue.
Easy to understand, the embodiment is only the part of the present invention, and those skilled in the art are not making creativeness
The other embodiment obtained on the premise of work, and the various changes and change without departing from spirit and scope of the invention for carrying out
Type, all should belong within protection scope of the present invention.
The technology not described in detail of the invention, shape, construction part are known technology.
Claims (3)
1. the technology that a kind of employing brightness method of identification is identified to coal and gangue, it is characterised in that comprising main frame, industrial phase
Machine, left side white Led area sources, right side white Led area sources, housing and raw coal belt conveyer, are disposed with above housing
Main frame;Industrial camera is installed immediately below housing;The both sides of housing are provided with left side white Led area sources and right side white
Led area sources;It is raw coal belt conveyer below industrial camera.
2. the technology as claimed in claim 1 coal and gangue being identified using brightness method of identification, it is characterised in that former
Coal and gangue in coal, Jing raw coal belt conveyers are delivered to immediately below industrial camera;Illuminated by white Led area sources
Afterwards, industrial camera just captures the coloured image feature of coal and gangue, and coloured image feature is sent to after main frame;In main frame
Image is converted into gray-scale map by system, and the span of gray value is 0-255, and the bigger brightness of value is higher, and less brightness is lower, former
Coal in coal is different with the brightness of gangue, and it is low to show as coal brightness, and gangue brightness is high.
3. the technology as claimed in claim 2 coal and gangue being identified using brightness method of identification, it is characterised in that because
Raw coal is that stereostructural shape is different, and to it, each face cannot realize uniform illumination, so it is empty that coloured image is transformed into into HSV
Between, HSV represents respectively form and aspect H, saturation degree S, brightness V, and in V passages, the brightness of image in each face of raw coal is consistent, then
Calculate the area of the high part of brightness and the ratio of monoblock raw coal area, ratio it is big be defined as gangue, ratio coefficient is little
It is defined as coal;Or calculate the area of the low part of brightness and the ratio of monoblock raw coal area, ratio it is big be defined as coal, ratio
Coefficient it is little be defined as gangue.
Priority Applications (1)
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CN201610885559.6A CN106650757A (en) | 2016-10-11 | 2016-10-11 | Technique for identifying coal and coal gangue by using brightness recognition method |
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CN201610885559.6A CN106650757A (en) | 2016-10-11 | 2016-10-11 | Technique for identifying coal and coal gangue by using brightness recognition method |
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CN201610885559.6A Pending CN106650757A (en) | 2016-10-11 | 2016-10-11 | Technique for identifying coal and coal gangue by using brightness recognition method |
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Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN108737790A (en) * | 2018-06-11 | 2018-11-02 | 山西华鑫电气有限公司 | Coal flow monitoring method based on image information collecting |
CN110399422A (en) * | 2019-04-10 | 2019-11-01 | 泰州三凯工程技术有限公司 | Real time data extracts display platform |
-
2016
- 2016-10-11 CN CN201610885559.6A patent/CN106650757A/en active Pending
Non-Patent Citations (3)
Title |
---|
何敏: "《基于SVM和纹理的煤和煤矸石自动识别》", 《计算机工程与设计》 * |
廖阳阳: "《基于BP 网络和图像处理的煤矸石的动态识别》", 《工业控制计算机》 * |
秦小卫: "《图像处理与识别技术在煤矿矸石自动分选系统中的应用》", 《科技论坛》 * |
Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN108737790A (en) * | 2018-06-11 | 2018-11-02 | 山西华鑫电气有限公司 | Coal flow monitoring method based on image information collecting |
CN108737790B (en) * | 2018-06-11 | 2020-04-17 | 山西华鑫电气有限公司 | Coal flow monitoring method based on image information acquisition |
CN110399422A (en) * | 2019-04-10 | 2019-11-01 | 泰州三凯工程技术有限公司 | Real time data extracts display platform |
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Application publication date: 20170510 |
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