CN101718711A - Method for detecting microscopic components of coal or coke and special device thereof - Google Patents
Method for detecting microscopic components of coal or coke and special device thereof Download PDFInfo
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- CN101718711A CN101718711A CN200910243331A CN200910243331A CN101718711A CN 101718711 A CN101718711 A CN 101718711A CN 200910243331 A CN200910243331 A CN 200910243331A CN 200910243331 A CN200910243331 A CN 200910243331A CN 101718711 A CN101718711 A CN 101718711A
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Abstract
The invention discloses a device for detecting microscopic components of a coal or a coke. The device comprises an objective table for placing a coal or a coke sample, and an imaging device for imaging the sample. The device is characterized by further comprising an image acquisition device for acquiring images imaged by the imaging device and a component identification device for performing image call, identification, linking, counting and result outputting on the images acquired by the image acquisition device. The invention also discloses a method for detecting the microscopic components of the coal or the coke, which comprises the step of putting the prepared coal or coke sample in the device to perform the detection and the identification so as to obtain a component statistical result report. The identification result measured by the device has traceability, so that the device reduces the subjectivity of the detection, and improves the detection accuracy. The method provided by the invention has simple and convenient processes, is easy to operate, and greatly improves the accuracy and the efficiency for detecting the components of the coal or the coke.
Description
Technical field
The present invention relates to the mensuration and the Analysis and Identification field of coal petrography or coke micropetrological unit, particularly a kind of method and specialized equipment thereof that detects coal or coke micropetrological unit.
Background technology
The mensuration of macerals promptly refers to maceral and charred coal organization content measuring, is the basic test project that industries such as coal, metallurgy, oil, geology are extensively carried out.The method that coal petrography component test is at present adopted is: under polarizing microscope, utilize oil immersion objective, observe and identify the coal petrography component by eyepiece, utilize manual, machinery or electronic counter record and add up the ratio of various components, as the result of coal petrography component volumn concentration test.Be CNS GB/T 8899 " the micropetrological unit group of coal and mineral assay method " or international standard ISO/DIS is 7404-3 " Methods for the petrographic analysis of coals-Part 3:Method ofdetermining maceral group composition " all is to adopt above-mentioned principle.The problem that this method of testing exists is mainly: 1. test speed is slow, and efficient is low, and operating personnel are tired easily; 2. because the operator identifies that the coal petrography component has certain subjectivity, and exchange inconvenience when examining under a microscope the coal petrography component between the different operating person, cause test result source of error complexity, degree of accuracy is lower, and the test result comparability is relatively poor; 3. test result can not be reviewed, and can only write down final statistics, and can not write down the qualification result to each measuring point; 4. some difficult component often blocks testing progress in the test process.
Summary of the invention
The objective of the invention is to overcome above-mentioned technical matters, a kind of equipment that detects coal or coke micropetrological unit is provided.
The equipment of detection coal provided by the invention or coke micropetrological unit, comprise that one places the thing platform of sample and to the imaging device of described sample imaging, also comprises: be used to gather the image collecting device of image that described imaging device becomes and the image of described image collecting device is carried out the component identification apparatus that image call, evaluation, link, statistics and result export; The enlargement factor of described imaging device is 5 times at least.
Further, imaging device is a polarizing microscope; Image collector is changed to micro-digital camera.Micro-digital camera is exactly the digital camera that is used in the prior art on the microscope.
Above-mentioned thing platform can be can automatic mobile thing platform.
Further, the component identification apparatus of the said equipment comprises:
Be used for to the image that described image collecting device is gathered pursue the width of cloth access, by screen several access or splice after the image call module that accesses;
Be used for supplying the operator by coal petrography constituent classification scheme, the image that described image call module is accessed carries out the component evaluation module that component is identified grouping;
Be used for described component is identified that the qualification result of module writes down the memory module of adding up and being stored into database;
Be used for the link module that the qualification result of image that described image call module is accessed and described memory module record links;
With the result's statistics and the output module that are used for the qualification result of described memory module record is added up output.
Further, above-mentioned coal petrography constituent classification scheme can be CNS GB/T 8899, international standard ISO/DIS 7404-3, YB/T 077 or the self-defined standard of user.The standard that the self-defined standard of the user person of being to use oneself defines as required.
The said components identification apparatus also can comprise: the mark module of the image filling appraisal mark that is used for described image call module is accessed, described appraisal mark is generally crosshair and/or frame.
Another object of the present invention is to provide a kind of method that detects coal or coke micropetrological unit.
Method of the present invention is coal or coke sample to be placed on the equipment of the present invention detect evaluation, obtains the report of coal or coke micropetrological unit statistics.
Above-mentioned detection is identified and be may further comprise the steps:
1) coal or coke sample are placed under the object lens of polarizing microscope, and mobile example, focus and scan, again by micro-digital camera images acquired;
2) image that collects in the step 1) is transported in the component identification apparatus, detects evaluation.
Further, above-mentioned steps 1) mobile example, focus to scan sample to be moved and focuses by setting-up time and displacement and scan by automatic mobile thing platform and automatic focusing software of the prior art.
Above-mentioned steps 2) comprise following concrete steps:
(1) start earlier the image call module by the width of cloth access, by screen several access or splice after access the image of required evaluation;
(2) restart component evaluation module the image that accesses in the step (1) is identified, press coal petrography constituent classification scheme by the operator, the grouping under the specify image;
(3) memory module writes down statistics and is stored in the database obtaining qualification result in the step (2), by starting link module described image call module image that accesses and the qualification result that described memory module writes down is linked simultaneously;
(4) start result's statistics and the qualification result of memory module record in the step (3) is added up automatically, generate the report of coal or coke micropetrological unit statistics with output module, and printout.
Further, before identifying in the above-mentioned steps (2), start the image filling identification marking of mark module to step (1).Can add up various coal petrography component concentrations by the micropetrological unit of the coal of identification marking sign or coke is identified like this.
Micro-digital technology of equipment utilization of the present invention and computer image processing technology combine, adopt micro-digital camera to gather the image under the polarizing microscope and transfer in the computing machine, by the component identification apparatus image is accessed and handles, the operator differentiates the coal petrography component on computers, and set up database link in real time, and write down the qualification result of each measuring point, make the component qualification result have trackability, reduce the subjectivity of test, improved measuring accuracy.Simultaneously, reduced taking the microscopical time in test process, testing efficiency improves greatly.
Method flow provided by the invention is easy, and easy operating has greatly improved precision and efficient that the coal petrography component is tested.
Description of drawings
Fig. 1 is the principle of work block scheme of present device.
Fig. 2 and Fig. 3 are to the embodiment of the invention 2 image call modules adopt by shielding several and call form, carry out the interface synoptic diagram that the micropetrological unit group is identified.
Fig. 4 carries out the interface synoptic diagram that the micropetrological unit group is identified for calling form for the embodiment of the invention 3 image call modules adopt by the width of cloth.
Fig. 5 accesses form after the embodiment of the invention 4 image call modules adopt image mosaic, carries out the interface synoptic diagram that the micropetrological unit group is identified.
Embodiment
The invention will be further described below in conjunction with specific embodiment, but the present invention is not limited to following examples.
Among the following embodiment, if no special instructions, be conventional method.
Embodiment 1, a kind of equipment that detects coal or coke micropetrological unit
A kind of equipment that detects coal or coke micropetrological unit comprises that one places the thing platform of coal or coke sample and to the polarizing microscope of described sample imaging, above-mentioned thing platform can move automatically.Equipment of the present invention also comprises micro-digital camera and component identification apparatus, and wherein micro-digital camera is to be used for device that image that polarizing microscope becomes is gathered; The component identification apparatus is to be used for the image of micro-digital camera collection is carried out image call, component evaluation, link, statistics and result's output.
Wherein the component identification apparatus comprises image call module, mark module, component evaluation module, memory module, link module and result's statistics and output module.The image call module is the selection according to the user, to the image of micro-digital camera collection pursue the width of cloth access, by screen several access or splice after access.Mark module is an image labeling appraisal mark that described image call module is accessed, and when specifically identifying, the coal that can be only identification marking be covered or the component of coke are identified.Component identify module be the operator by coal petrography constituent classification scheme, the image that described image call module is accessed carries out that component identifies.Memory module is that described component is identified that the qualification result of module writes down statistics and is stored into database.Link module is that described image call module image that accesses and the qualification result that described memory module writes down are linked.Result's statistics is that the qualification result of described memory module record is added up and exported with output module.
Idiographic flow during equipment work of the present invention may further comprise the steps as shown in Figure 1:
1, earlier the coal for preparing or coke sample are placed movably on the thing platform, mobile then thing platform places under the oil immersion objective of polarizing microscope sample.Utilize automatic focusing software of the prior art, polarizing microscope and micro-digital camera are focused.By time and the moving interval set sample is carried out autoscan then, in scanning process, adopt micro-digital camera to gather the mirror hypograph automatically, and, be stored in the same file by acquisition order spanned file name.
2, operation component identification apparatus
The image that collects in the step 1 is transported in the component identification apparatus, detects.
1) at first the user determines coal petrography constituent classification scheme (as CNS GB/T 8899, YB/T 077, international standard ISO/DIS 7404-3 or the self-defined standard of user).
2) start the image call module, by the width of cloth access, by screen several access or splice after access the image that step 1 obtains.Wherein several access image by screen, are meant that the image by every screen some accesses the image of required evaluation; Access image after the splicing, be meant order and coordinate, the image of being gathered is spliced, restore the image of this sample of microscopically according to image acquisition.
3) starting mark module to step 2) image that accesses marks appraisal mark (as crosshair and frame).
4) start component and identify module, press coal petrography constituent classification scheme (CNS GB/T8899, YB/T 077, international standard ISO/DIS 7404-3 or the self-defined standard of user) by the operator, observe the component in each image, the grouping under the specify image through the identification marking sign of step 3).For example, if coal petrography constituent classification scheme is to adopt CNS, then select in " vitrinite ", " inertinite ", " chitin group ", " mineral " or " Null Spot ".
In order to save operator's time, the operator can not carry out designated packet to the image that belongs to same class component after identifying, the image of this not designated packet can be some in " vitrinite ", " inertinite ", " chitin group ", " mineral " or " Null Spot " by default packet.
If qualification result is " Null Spot ", no longer participate in follow-up statistics and calculating.
5) memory module writes down statistics with the qualification result that obtains in the step 4) and is stored in the database, by starting link module described image call module image that accesses and the evaluation statistics that described memory module writes down is linked simultaneously.The advantage of link is: in the step 4) qualification process, can test for the operator at any time, when occurring identifying mistake, the time update qualification result, be related between image and the qualification result, improved the trackability of qualification result, measuring accuracy is improved.
If individual image is not identified as yet or also not through audit, then repeating step 1)-5), if all images then can enter the 6th through identifying and audit) and the step.
6) start result's statistics and the qualification result of memory module record in the step 5) is added up, generate the report of component statistics automatically with output module, and printout.
Embodiment 2, several call and are undertaken by national standard classification that the micropetrological unit group is identified and statistics by screen
The equipment and the method that adopt the foregoing description 1 to introduce are carried out the macerals evaluation, wherein:
The image call module is to take to call form by shielding several, the macerals criteria for classification adopts CNS (" vitrinite ", " inertinite ", " chitin group ", " mineral " or " Null Spot "), operation interface such as Fig. 2 or shown in Figure 3 that component is identified.
When starting component evaluation module, also access this form of table 1 when accessing behind the image, after the user specifies corresponding grouping to the image that accesses, count value increases by 1 automatically in the respective column of " measuring point number statistics " in table 1, and recomputates the data of the 3rd each row of row " number percent " in the table 1 automatically.The overall result of present embodiment statistics is as shown in table 1.
Table 1. macerals qualification result
| Component | Vitrinite | Inertinite | The chitin group | Mineral | Null Spot | Total available point |
| Measuring point number statistics | ??123 | ??105 | ??11 | ??18 | ??123 | ??257 |
| Number percent, % | ??47.86 | ??40.86 | ??4.28 | ??7.00 | ??100.00 |
Embodiment 3, call by the width of cloth, undertaken by the national standard classification that the micropetrological unit group is identified and statistics
The difference of present embodiment and embodiment 2 is following, and all the other steps are identical:
During the image of image call module in accessing micro-digital camera, access by the width of cloth.
The operation interface that component is identified as shown in Figure 4.
Call behind embodiment 4, the image mosaic, carry out evaluation of micropetrological unit group and statistics by self-defined mode classification
The difference of present embodiment and embodiment 2 is following 2 points, and all the other steps are identical:
1, the image call module accesses after with image mosaic;
2, the macerals criteria for classification adopts the User Defined standard.
The operation interface that component is identified as shown in Figure 5.
Claims (10)
1. equipment that detects coal or coke micropetrological unit, comprise that one places the thing platform of sample and to the imaging device of described sample imaging, it is characterized in that: described equipment also comprises the image collecting device that is used to gather image that described imaging device becomes and the image of described image collecting device is carried out the component identification apparatus that image call, evaluation, link, statistics and result export;
The enlargement factor of described imaging device is 5 times at least.
2. equipment according to claim 1 is characterized in that: described imaging device is a polarizing microscope; Described image collector is changed to micro-digital camera.
3. equipment according to claim 1 and 2 is characterized in that: described thing platform is can automatic mobile thing platform.
4. according to the arbitrary described equipment of claim 1-3, it is characterized in that: described component identification apparatus comprises:
Be used for to the image that described image collecting device is gathered pursue the width of cloth access, by screen several access or splice after the image call module that accesses;
Be used for supplying the operator by coal petrography constituent classification scheme, the image that described image call module is accessed carries out the component evaluation module that component is identified;
Be used for described component is identified that the qualification result of module writes down the memory module of adding up and being stored into database;
Be used for the link module that the qualification result of image that described image call module is accessed and described memory module record links;
With the result's statistics and the output module that are used for the qualification result of described memory module record is added up output.
5. equipment according to claim 4 is characterized in that: described coal petrography constituent classification scheme is CNS GB/T 8899, YB/T 077, international standard ISO/DIS 7404-3 or the self-defined standard of user.
6. according to claim 4 or 5 described equipment, it is characterized in that: described component identification apparatus also comprises: the mark module of the image filling appraisal mark that is used for described image call module is accessed, described appraisal mark is crosshair and/or frame.
7. method that detects coal or coke micropetrological unit is coal or coke sample to be placed on the arbitrary described equipment of claim 1-6 detect evaluation, obtains the report of coal or coke micropetrological unit statistics.
8. method according to claim 7 is characterized in that: described detection is identified and be may further comprise the steps:
1) coal or coke sample are placed under the object lens of polarizing microscope, and mobile example, focus and scan, again by micro-digital camera images acquired;
2) image that collects in the step 1) is transported in the component identification apparatus, detects evaluation.
9. method according to claim 8 is characterized in that: described step 2) comprise following concrete steps:
(1) start earlier the image call module by the width of cloth access, by screen several access or splice after access the image of required evaluation;
(2) restart component evaluation module the image that accesses in the step (1) is identified, press coal petrography constituent classification scheme by the operator, the grouping under the specify image;
(3) memory module writes down statistics and is stored in the database obtaining qualification result in the step (2), by starting link module described image call module image that accesses and the qualification result that described memory module writes down is linked simultaneously;
(4) start result's statistics and the qualification result of memory module record in the step (3) is added up automatically, generate the report of coal or coke micropetrological unit statistics with output module, and printout.
10. method according to claim 9 is characterized in that: before identifying in the described step (2), start the image filling identification marking of mark module to step (1).
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| Application Number | Priority Date | Filing Date | Title |
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| CN200910243331A CN101718711A (en) | 2009-12-21 | 2009-12-21 | Method for detecting microscopic components of coal or coke and special device thereof |
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| CN200910243331A CN101718711A (en) | 2009-12-21 | 2009-12-21 | Method for detecting microscopic components of coal or coke and special device thereof |
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102928340A (en) * | 2012-10-19 | 2013-02-13 | 煤炭科学研究总院 | Image analysis-based method and special equipment for simultaneously determining content of maceral and vitrinite reflectance of coal |
| CN103135219A (en) * | 2013-03-19 | 2013-06-05 | 山东出入境检验检疫局检验检疫技术中心 | Composite microscope objective and manufacturing method and application thereof |
| CN107884366A (en) * | 2016-09-29 | 2018-04-06 | 宝山钢铁股份有限公司 | The analysis method of coke-blowhole wall microstructure |
| CN110426350A (en) * | 2019-05-15 | 2019-11-08 | 中国石油大学(北京) | The quantitative approach and system of maceral composition in a kind of rock |
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2009
- 2009-12-21 CN CN200910243331A patent/CN101718711A/en active Pending
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102928340A (en) * | 2012-10-19 | 2013-02-13 | 煤炭科学研究总院 | Image analysis-based method and special equipment for simultaneously determining content of maceral and vitrinite reflectance of coal |
| CN103135219A (en) * | 2013-03-19 | 2013-06-05 | 山东出入境检验检疫局检验检疫技术中心 | Composite microscope objective and manufacturing method and application thereof |
| CN103135219B (en) * | 2013-03-19 | 2015-04-08 | 山东出入境检验检疫局检验检疫技术中心 | Composite microscope objective and manufacturing method and application thereof |
| CN107884366A (en) * | 2016-09-29 | 2018-04-06 | 宝山钢铁股份有限公司 | The analysis method of coke-blowhole wall microstructure |
| CN107884366B (en) * | 2016-09-29 | 2020-10-27 | 宝山钢铁股份有限公司 | Analysis method of microstructure of coke porous wall |
| CN110426350A (en) * | 2019-05-15 | 2019-11-08 | 中国石油大学(北京) | The quantitative approach and system of maceral composition in a kind of rock |
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Open date: 20100602 |