CN101806750A - Method for automatically testing coal petrologic parameters and special equipment thereof - Google Patents
Method for automatically testing coal petrologic parameters and special equipment thereof Download PDFInfo
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- CN101806750A CN101806750A CN201010151072A CN201010151072A CN101806750A CN 101806750 A CN101806750 A CN 101806750A CN 201010151072 A CN201010151072 A CN 201010151072A CN 201010151072 A CN201010151072 A CN 201010151072A CN 101806750 A CN101806750 A CN 101806750A
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Abstract
The invention discloses a method for automatically testing coal petrologic parameters and special equipment thereof, wherein the equipment comprises a polarizing microscope which is assembled with an automatic carrier and an automatic focusing device and can magnify for at least five times. The device is characterized in that the equipment further comprises an image acquisition device for acquiring microscopic images and a coal petrologic parameter automatic testing and coal type identification device for recalling the images acquired by the image acquisition device, testing the reflection rate, testing various coal petrologic component contents, identifying the coal type, linking and carrying out statistics as well as outputting the result. By adopting the equipment to carry out coal petrologic parameter testing, the process is simple, the operation is easy, and thereby the precision and the efficiency of automatic coal petrologic testing and coal type identifying are greatly improved.
Description
Technical field
The present invention relates to a kind of method and specialized equipment thereof of automatic detection coal petrography parameter.
Background technology
Often run into the problem that the petrofacies that need the test coal are formed, metamorphic grade is also tentatively determined the coal class in coal utilization and the trade.The main contents of coal petrography facies analysis comprise vitrinite reflectance test and micropetrological unit evaluation and statistics, and then differentiate mixed coal according to the petrofacies test result.The main manual testing's method that adopts of vitrinite reflectance and micro-composition test at present, its advantage is that measuring accuracy is higher, but that shortcoming is a test speed is slow, efficient is low; Domestic and international existing coal petrography automatic test technology is to a certain degree improving test speed, but the subject matter that exists is that measuring accuracy can not meet the demands.No matter be the manual testing, still existing test automatically, the problem that all exists test process to review, its measuring accuracy can only be analyzed by replication.
Summary of the invention
The object of the present invention is to provide a kind of equipment of automatic detection coal petrography parameter, can solve the problem that speed is slow, efficient is low or measuring accuracy is low in the automatic test of above-mentioned coal petrography.
The equipment of automatic detection coal petrography parameter provided by the invention comprises a polarizing microscope, and described polarizing microscope comprises automatic carrier and the automatic focusing device of placing the coal petrography sample, and its enlargement factor is 5 times at least; Described equipment also comprises the image collecting device of the micro-image that is used to gather the coal petrography sample that described polarizing microscope becomes and coal petrography automatically testing parameters and the coal class discriminating gear that the image of described image collecting device collection is carried out image call, measuring reflectance, each coal petrography component concentration mensuration, the differentiation of coal class, link and statistics and result's output.
Above-mentioned image collector is changed to micro-digital camera.
Above-mentioned coal petrography automatically testing parameters and coal class discriminating gear comprise:
Be used for to the micro-image of being gathered pursue the width of cloth access, by screen several access or splice after the image call module that accesses;
Be used for each pixel grey scale of image that described image call module is accessed or standard items were measured and set up to average gray gray scale-reflectivity working curve and set up, according to working curve and calibration curve the vitrinite reflectance that described each pixel grey scale or the average gray of product to be tested is scaled reflectivity is measured module then apart from the calibration curve of described picture centre different distance place gray scale;
Be used for measuring reflectivity and the homogeneity variation tendency thereof that module is measured, discern the coal petrography component automatically, and calculate the border and the area of various components automatically, and then calculate the coal petrography component concentration test module of various coal petrography component concentrations according to described vitrinite reflectance;
Be used for that described vitrinite reflectance is measured module reflectivity that obtains and the reflectance curve that frequency forms and peel off, and the coal class discrimination module of differentiation coal class;
Be used for the result that above-mentioned vitrinite reflectance mensuration module, coal petrography component concentration test module and coal class discrimination module record is write down the memory module of adding up and being stored into database;
Be used for the link module that the 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 measurement result of described memory module record is added up output.
Another object of the present invention is to provide a kind of method of automatic detection coal petrography parameter.
The method of automatic detection coal petrography parameter provided by the invention is coal petrography sample and standard items to be placed on arbitrary above-mentioned equipment detect, and obtains reflectance of coal rock, coal petrography component concentration and coal class and differentiates the result.
Above-mentioned detection may further comprise the steps:
1) the coal petrography sample is placed under the object lens of polarizing microscope, mobile example is focused and is scanned, again by micro-digital camera images acquired;
2) standard items are placed under the object lens of polarizing microscope, under the incident light condition identical with step 1), mobile example is focused and is scanned, again by micro-digital camera images acquired;
3) with step 1) and 2) in the image that collects preserve, and be transported in coal petrography automatically testing parameters and the coal class discriminating gear and detect.
Further, above-mentioned steps 3) 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 mensuration;
(2) restart vitrinite reflectance and measure module, record the reflectivity of described coal petrography sample;
(3) start coal petrography component concentration test module, the reflectivity that records according to step (2) is in conjunction with its homogeneity variation tendency, make the border of vitrinite, intertinite, liptinite or four kinds of components of mineral respectively, calculate the girth and the area of four kinds of components then, further proofread and correct the component border, determine each component concentration by the area that calculates various components at last;
(4) start coal class discrimination module, vitrinite reflectance is measured the reflectivity that module records to be peeled off with the reflectance curve of frequency formation, obtain each single vitrinite reflectance interval of planting coal, and analysis result fed back in micro-image, and then singly plant the content that coal particle area calculates each coal class according to each;
(5) start memory module, the automatic measurement result that obtains in step (2)-(4) is write down statistics and be stored in the database, by starting link module described image call module image that accesses and the measurement result that described memory module writes down are linked simultaneously;
(6) startup result statistics is added up the automatic measurement result report of generation coal petrography with output module automatically to the measurement result of memory module record in the step (5), and printout.
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 coal petrography apparatus for automatically measuring image is accessed and handles, automatically measure basic coal petrography parameter such as vitrinite reflectance, coal petrography composition, coal class, improved test speed greatly; By setting up database link in real time, and draw the border of each component, and the coal class differentiated the result or vitrinite reflectance marks in coal grain surface, make test result have trackability, improved measuring accuracy according to automatic test result.
Method flow provided by the invention is easy, and easy operating has greatly improved coal petrography is tested automatically and the coal class is differentiated precision and efficient.
Description of drawings
Fig. 1 is the workflow block scheme of present device.
Fig. 2 accesses form after the embodiment of the invention 3 image call modules adopt image mosaic, carries out the result schematic diagram that coal petrography is measured automatically.
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.
The equipment of embodiment 1, a kind of automatic detection coal petrography parameter
A kind of equipment of automatic detection coal petrography parameter comprises the polarizing microscope of a configuration from animal platform and automatic focusing device, places the coal petrography sample on the animal platform.Equipment of the present invention comprises that also the micro-digital camera of the micro-image of gathering the coal petrography sample that described polarizing microscope became and coal petrography measure and coal class discriminating gear automatically, and wherein micro-digital camera is to be used for device that image that polarizing microscope becomes is gathered; The coal petrography apparatus for automatically measuring is to be used for the image of micro-digital camera collection is carried out image call, gray scale measurement and reflectivity conversion, each coal petrography component concentration mensuration, the differentiation of coal class, link, statistics and result's output.
Wherein the coal petrography apparatus for automatically measuring comprises image call module, vitrinite reflectance mensuration module, coal petrography component concentration test module, coal class discrimination 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.
It is that the image that described image call module accesses is carried out gray scale measurement and reflectivity conversion that reflectivity is measured module automatically.It is as follows that reflectivity is measured the concrete course of work of module automatically: average gray is measured and is set up the gray scale-reflectivity working curve of standard items and sets up calibration curve apart from different distance place, original image center gray scale in each pixel grey scale of the image that described image call module is accessed or the certain area, according to working curve and calibration curve average gray in described each pixel grey scale of product to be tested or the certain area is scaled reflectivity then.
Coal petrography component concentration test module can be measured parameters such as reflectivity that module measures and homogeneity variation tendency according to described vitrinite reflectance, discern the coal petrography component automatically, and calculate the border and the area of various components automatically, and then calculate various coal petrography component concentrations.
Coal class discrimination module is that reflectance curve is peeled off, and obtains each single vitrinite reflectance interval of planting coal, thereby differentiates the coal class; This reflectance curve is the curve that described vitrinite reflectance is measured reflectivity that module obtains and frequency formation.
Memory module is that the measurement result that above-mentioned vitrinite reflectance is measured module, coal petrography component concentration test module and coal class discrimination module is write down statistics and is stored into database.
Link module is that described image call module image that accesses and the measurement result that described memory module writes down are linked.Result's statistics is that the measurement 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 petrography sample for preparing and standard specimen are placed respectively movably on the thing platform, carry out imaging with oil immersion objective.Utilize automatic mobile example of the prior art, automatic focusing and automatic images acquired software, by time and the moving interval set sample is carried out autoscan, in scanning process, utilize micro-digital camera to gather the mirror hypograph automatically, and, be stored in the same file by acquisition order spanned file name.
2, operation coal petrography apparatus for automatically measuring
The image that collects in the step 1 is transported in the coal petrography apparatus for automatically measuring, detects.
1) at first start the image call module, by the width of cloth access, by the 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 mensuration; 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.
2) start vitrinite reflectance and measure module, detect each pixel grey scale of image or the interior average gray of certain area that step 1) accesses automatically.According to standard specimen gray scale measured value, set up gray scale-reflectivity working curve; Foundation is apart from original image center different distance place gray correction curve; According to calibration curve and the gray scale-reflectivity working curve set up, each pixel in the testing sample or the gray scale of surveying the district are scaled reflectance value.
3) start coal petrography component concentration test module, according to step 2) in the reflectivity and the homogeneity variation tendency thereof that obtain, automatically discern various coal petrography components (vitrinite, intertinite, liptinite or mineral), and draw the boundary line of various coal petrography components, calculate various coal petrography components contents.
4) start coal class discrimination module, the reflectance curve of reflectivity and frequency formation is peeled off, obtain each single vitrinite reflectance interval of planting coal, and analysis result is fed back in micro-image, and then plant the content that the coal particle area calculates each coal class according to each list;
5) memory module is with step 2)-4) in the measurement result that obtains write down statistics and be stored in the database, by starting link module described image call module image that accesses and the measurement result that described memory module writes down are linked simultaneously.The advantage of link is: after the mensuration process is finished, operator or auditor can be to test result realistic testing whether, when finding that some differentiation result does not meet actual conditions, can measure and return step 3) again and carry out component concentration mensuration and the differentiation of coal class again; Simultaneously, the coal class can be differentiated the result and mark near measuring point, in order to audit or as the part output of reporting.Be related between image and the measurement result, improved the trackability of measurement result, measuring accuracy is guaranteed.
6) start result's statistics and the measurement result of memory module record in the step 5) is added up, generate the automatic test result report of coal petrography automatically with output module, and printout.
Embodiment 2, several call and carry out coal petrography and test automatically by screen
The equipment and the method that adopt the foregoing description 1 to introduce are carried out coal or organic rock vitrinite reflectance mensuration, and wherein: what the image call module adopted is that all the other determination steps are identical with embodiment 1 by several invocation patterns of screen.
Call behind embodiment 3, the image mosaic, carry out the vitrinite reflectance test
The difference of present embodiment and embodiment 2 is: the image call module accesses after with image mosaic, and all the other steps are identical.
Access behind the image mosaic and carry out the automatic interface of testing as a result of coal petrography as shown in Figure 2, wherein lean coal accounts for 10% in the testing sample; 1/3 coking coal accounts for 25%; Bottle coal accounts for 37%; Long-flame coal accounts for 28%.
Claims (6)
1. an equipment that detects the coal petrography parameter automatically comprises a polarizing microscope, and described polarizing microscope comprises automatic carrier and the automatic focusing device of placing the coal petrography sample, and its enlargement factor is 5 times at least; It is characterized in that: described equipment also comprises the image collecting device of the micro-image that is used to gather the coal petrography sample that described polarizing microscope becomes and coal petrography automatically testing parameters and the coal class discriminating gear that the image of described image collecting device collection is carried out image call, measuring reflectance, each coal petrography component concentration mensuration, the differentiation of coal class, link and statistics and result's output.
2. equipment according to claim 1 is characterized in that: described image collector is changed to micro-digital camera.
3. according to the arbitrary described equipment of claim 1-2, it is characterized in that: described coal petrography automatically testing parameters and coal class discriminating gear comprise:
Be used for to the micro-image of being gathered pursue the width of cloth access, by screen several access or splice after the image call module that accesses;
Be used for each pixel grey scale of image that described image call module is accessed or standard items were measured and set up to average gray gray scale-reflectivity working curve and set up, according to working curve and calibration curve the vitrinite reflectance that described each pixel grey scale or the average gray of product to be tested is scaled reflectivity is measured module then apart from the calibration curve of described picture centre different distance place gray scale;
Be used for measuring reflectivity and the homogeneity variation tendency thereof that module is measured, discern the coal petrography component automatically, and calculate the border and the area of various components automatically, and then calculate the coal petrography component concentration test module of various coal petrography component concentrations according to described vitrinite reflectance;
Be used for that described vitrinite reflectance is measured module reflectivity that obtains and the reflectance curve that frequency forms and peel off, and the coal class discrimination module of differentiation coal class;
Be used for the result that above-mentioned vitrinite reflectance mensuration module, coal petrography component concentration test module and coal class discrimination module record is write down the memory module of adding up and being stored into database;
Be used for the link module that the 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 measurement result of described memory module record is added up output.
4. method that automatically detects the coal petrography parameter is coal petrography sample and standard items to be placed on the arbitrary described equipment of claim 1-3 detect, and obtains reflectance of coal rock, coal petrography component concentration and coal class and differentiates the result.
5. method according to claim 4 is characterized in that: described detection may further comprise the steps:
1) the coal petrography sample is placed under the object lens of polarizing microscope, mobile example is focused and is scanned, again by micro-digital camera images acquired;
2) standard items are placed under the object lens of polarizing microscope, under the incident light condition identical with step 1), mobile example is focused and is scanned, again by micro-digital camera images acquired;
3) with step 1) and 2) in the image that collects preserve, and be transported in coal petrography automatically testing parameters and the coal class discriminating gear and detect.
6. method according to claim 5 is characterized in that: described step 3) comprises 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 mensuration;
(2) restart vitrinite reflectance and measure module, record the reflectivity of described coal petrography sample;
(3) start coal petrography component concentration test module, the reflectivity that records according to step (2) is in conjunction with its homogeneity variation tendency, make the border of vitrinite, intertinite, liptinite or four kinds of components of mineral respectively, calculate the girth and the area of four kinds of components then, further proofread and correct the component border, determine each component concentration by the area that calculates various components at last;
(4) start coal class discrimination module, vitrinite reflectance is measured the reflectivity that module records to be peeled off with the reflectance curve of frequency formation, obtain each single vitrinite reflectance interval of planting coal, and analysis result fed back in micro-image, and then singly plant the content that coal particle area calculates each coal class according to each;
(5) start memory module, the automatic measurement result that obtains in step (2)-(4) is write down statistics and be stored in the database, by starting link module described image call module image that accesses and the measurement result that described memory module writes down are linked simultaneously;
(6) startup result statistics is added up the automatic measurement result report of generation coal petrography with output module automatically to the measurement result of memory module record in the step (5), and printout.
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| CN102565104A (en) * | 2011-12-21 | 2012-07-11 | 中国石油天然气股份有限公司 | Method for determining content of organic carbon of hydrocarbon source rock |
| 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 |
| CN103149178A (en) * | 2013-02-26 | 2013-06-12 | 中国矿业大学(北京) | Coal-rock identification optical fiber sensor |
| CN103370599A (en) * | 2010-12-23 | 2013-10-23 | 地质服务设备公司 | Method for analyzing at least a cutting emerging from a well, and associated apparatus |
| CN103792236A (en) * | 2014-01-28 | 2014-05-14 | 鞍山市科翔仪器仪表有限公司 | Multi-feature intelligent algorithm and equipment for directly identifying coal vitrinite |
| CN104134074A (en) * | 2014-07-31 | 2014-11-05 | 中国矿业大学 | Coal and rock identification method based on laser scanning |
| CN105195468A (en) * | 2014-06-25 | 2015-12-30 | 核工业西南物理研究院 | Method and device for online cleaning and detection of first lens of fusion device |
| CN105510328A (en) * | 2014-09-25 | 2016-04-20 | 鞍钢股份有限公司 | Coal petrographic analysis test and graph processing method |
| CN107844487A (en) * | 2016-09-19 | 2018-03-27 | 中国科学院大连化学物理研究所 | For composing the automatic data acquisition method of analysis photoelectron/low energy electron microscopy |
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| CN103370599A (en) * | 2010-12-23 | 2013-10-23 | 地质服务设备公司 | Method for analyzing at least a cutting emerging from a well, and associated apparatus |
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| 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 |
| CN103149178B (en) * | 2013-02-26 | 2015-06-24 | 中国矿业大学(北京) | Coal-rock identification optical fiber sensor |
| CN103149178A (en) * | 2013-02-26 | 2013-06-12 | 中国矿业大学(北京) | Coal-rock identification optical fiber sensor |
| CN103792236A (en) * | 2014-01-28 | 2014-05-14 | 鞍山市科翔仪器仪表有限公司 | Multi-feature intelligent algorithm and equipment for directly identifying coal vitrinite |
| CN103792236B (en) * | 2014-01-28 | 2016-01-13 | 鞍山市科翔仪器仪表有限公司 | Multi-feature intelligent detection method for directly identifying coal vitrinite |
| CN105195468A (en) * | 2014-06-25 | 2015-12-30 | 核工业西南物理研究院 | Method and device for online cleaning and detection of first lens of fusion device |
| CN105195468B (en) * | 2014-06-25 | 2017-08-18 | 核工业西南物理研究院 | A kind of method and apparatus of on-line cleaning and the detection mirror of fusion facility first |
| CN104134074A (en) * | 2014-07-31 | 2014-11-05 | 中国矿业大学 | Coal and rock identification method based on laser scanning |
| CN104134074B (en) * | 2014-07-31 | 2017-06-23 | 中国矿业大学 | A kind of Coal-rock identification method based on laser scanning |
| CN105510328A (en) * | 2014-09-25 | 2016-04-20 | 鞍钢股份有限公司 | Coal petrographic analysis test and graph processing method |
| CN105510328B (en) * | 2014-09-25 | 2018-05-29 | 鞍钢股份有限公司 | A kind of coal petrography facies analysis inspection and graphic processing method |
| CN107844487A (en) * | 2016-09-19 | 2018-03-27 | 中国科学院大连化学物理研究所 | For composing the automatic data acquisition method of analysis photoelectron/low energy electron microscopy |
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