CN112330137A - Quality evaluation method of strongly-bonded coal - Google Patents

Quality evaluation method of strongly-bonded coal Download PDF

Info

Publication number
CN112330137A
CN112330137A CN202011206167.5A CN202011206167A CN112330137A CN 112330137 A CN112330137 A CN 112330137A CN 202011206167 A CN202011206167 A CN 202011206167A CN 112330137 A CN112330137 A CN 112330137A
Authority
CN
China
Prior art keywords
coal
blended
strongly
caking
cbi
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN202011206167.5A
Other languages
Chinese (zh)
Inventor
李德平
刘克辉
陈锡通
范国光
石慧峰
邹智华
程启国
曾令鹏
唐新明
陈萌
穆应东
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
SGIS Songshan Co Ltd
Original Assignee
SGIS Songshan Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by SGIS Songshan Co Ltd filed Critical SGIS Songshan Co Ltd
Priority to CN202011206167.5A priority Critical patent/CN112330137A/en
Publication of CN112330137A publication Critical patent/CN112330137A/en
Pending legal-status Critical Current

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0639Performance analysis of employees; Performance analysis of enterprise or organisation operations
    • G06Q10/06395Quality analysis or management
    • CCHEMISTRY; METALLURGY
    • C10PETROLEUM, GAS OR COKE INDUSTRIES; TECHNICAL GASES CONTAINING CARBON MONOXIDE; FUELS; LUBRICANTS; PEAT
    • C10BDESTRUCTIVE DISTILLATION OF CARBONACEOUS MATERIALS FOR PRODUCTION OF GAS, COKE, TAR, OR SIMILAR MATERIALS
    • C10B57/00Other carbonising or coking processes; Features of destructive distillation processes in general
    • C10B57/04Other carbonising or coking processes; Features of destructive distillation processes in general using charges of special composition
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0639Performance analysis of employees; Performance analysis of enterprise or organisation operations
    • G06Q10/06393Score-carding, benchmarking or key performance indicator [KPI] analysis
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/04Manufacturing
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02PCLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/30Computing systems specially adapted for manufacturing

Landscapes

  • Business, Economics & Management (AREA)
  • Human Resources & Organizations (AREA)
  • Engineering & Computer Science (AREA)
  • Strategic Management (AREA)
  • Economics (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Educational Administration (AREA)
  • Development Economics (AREA)
  • General Business, Economics & Management (AREA)
  • Tourism & Hospitality (AREA)
  • Physics & Mathematics (AREA)
  • Marketing (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Chemical & Material Sciences (AREA)
  • Game Theory and Decision Science (AREA)
  • Quality & Reliability (AREA)
  • Operations Research (AREA)
  • Oil, Petroleum & Natural Gas (AREA)
  • General Health & Medical Sciences (AREA)
  • Health & Medical Sciences (AREA)
  • Manufacturing & Machinery (AREA)
  • Organic Chemistry (AREA)
  • Primary Health Care (AREA)
  • Materials Engineering (AREA)
  • Coke Industry (AREA)

Abstract

A quality evaluation method of strongly caking coal belongs to the technical field of coking. The quality evaluation method comprises the following steps: at least two kinds of strong caking coal to be evaluated are respectively and independently matched with auxiliary coal with the same type to form matched coal groups respectively, the matched coal of different groups corresponds to each other one by one, the matched coal in one-to-one correspondence contains the strong caking coal with the same coal blending ratio and different types and the auxiliary coal with the same coal blending ratio and the same type, and the CBI of each matched coal is 0.95-1.10; obtaining CRI and CSR of the blended coal as performance indexes of the strongly-sticky coal contained in the blended coal; and comparing the performance indexes of the strongly caking coal of different types to obtain the quality evaluation result of the strongly caking coal. The quality of the single strong caking coal contained in the blended coal is evaluated by utilizing the coke thermal performance index of the blended coal, the effect of the strong caking coal in the actual coal blending coking industrial production is more truly simulated, and the defect of evaluating the coal quality by utilizing the G, Y value of the single strong caking coal or the thermal performance index measured by single coking is made up.

Description

Quality evaluation method of strongly-bonded coal
Technical Field
The application relates to the technical field of coking, in particular to a quality evaluation method of strongly-bonded coal.
Background
The active components in the coal mainly refer to components capable of forming a colloidal body in the high-temperature pyrolysis process of the coal, and are mainly vitrinite for coking coal; the inert component means a component which does not soften during heating and forms silk char and fragments in the optical structure of coke, and is mainly a silk component for coking coal. The proper proportion of active and inactive components is the key to ensure the high-quality coke refined by the blended coal. The composition equilibrium constant CBI was first proposed by Amosov and defined as the ratio of the actual inert content to the theoretical inert content in a single coal or blended coal, and if CBI >1, the inert content in the coal is judged to be excessive, and if CBI <1, the inert content in the coal is judged to be insufficient. Because the quantitative relation expression of the optimal active and inactive component proportion of the coking coal and the deterioration degree of the coking coal is less, the actual application is not much at present.
The strong-caking coal is used as a main source of high-quality active components of coking coal, can effectively make up for the defects of insufficient quantity and poor quality of active components such as gas coal, lean coal and the like in the coal blending and coking process, and is an indispensable coal type in the coal blending.
The traditional method for evaluating the coal quality of the strong caking coal mainly adopts a G value and a Y value, wherein the G value and the Y value mainly reflect the caking property of the coking coal, and the G value and the Y value have no positive correlation with the coking property of the coking coal and can not comprehensively reflect the quality of the strong caking coal.
In view of this, the present application is hereby presented.
Disclosure of Invention
The embodiment of the application aims to provide a quality evaluation method of strongly-bonded coal, which can effectively improve the technical problem.
The embodiment of the application provides a quality evaluation method of strongly-bonded coal, which comprises the following steps:
at least two kinds of strong caking coal to be evaluated are respectively and independently matched with auxiliary coal with the same type to form matched coal groups respectively, each group of matched coal groups comprises at least one part of matched coal, the matched coal of different groups corresponds to each other one by one, the matched coal in one-to-one correspondence contains the strong caking coal with the same coal blending ratio and different types and the auxiliary coal with the same coal blending ratio and the same type, and the CBI of each part of matched coal is 0.95-1.10.
And obtaining the CRI and CSR of the blended coal as performance indexes of the strongly-sticky coal contained in the blended coal.
And comparing the performance indexes of the strongly caking coal of different types to obtain the quality evaluation result of the strongly caking coal.
In the implementation process, the corresponding blended coal contains the strongly-bonded coal to be evaluated with the same blending ratio and different types and the auxiliary coal with the same blending ratio and the same type, so that the interference of the change of other coal types on the coke thermal performance (CRI and CSR) indexes of the blended coal is eliminated, and when the performance indexes of at least two kinds of strongly-bonded coal are compared, a more accurate quality evaluation result of the strongly-bonded coal can be obtained. By limiting the CBI of the blended coal to be in the range of 0.95-1.10, the difference of the thermal performance indexes of the cokes refined by different blending schemes is inspected, and compared with the single strong caking coal for coking alone, the interference of surplus active components and insufficient coking (more coke bubbles are generated) of the single strong caking coal can be effectively eliminated, and the quality of the strong caking coal can be more accurately evaluated.
In conclusion, the quality evaluation method of the strongly-bonded coal utilizes coke thermal performance indexes (CRI and CSR) of blended coal to evaluate the quality of single strongly-bonded coal, more truly simulates the effect of the strongly-bonded coal in actual coal blending coking industrial production, and makes up the defect of evaluating the coal quality by utilizing the G, Y value of single strongly-bonded coal or the thermal performance index measured by single coking.
Detailed Description
Embodiments of the present application will be described in detail below with reference to examples, but those skilled in the art will appreciate that the following examples are only illustrative of the present application and should not be construed as limiting the scope of the present application. The examples, in which specific conditions are not specified, were conducted under conventional conditions or conditions recommended by the manufacturer. The reagents or instruments used are not indicated by the manufacturer, and are all conventional products available commercially.
Applicants have found that certain highly sticky coals with slightly different G, Y values tend to have a greater impact on the thermal properties of blended coal coke, subject to measurement criteria. And the strong-caking coal is used for independent coking, and because the active components are excessive, more coke bubbles are often formed, the CRI and CSR indexes of the strong-caking coal cannot be accurately compared, and after part of the strong-caking coal is independently coked, the coke sample cannot meet the requirements of CRI and CSR measurement national standard sample preparation. Accordingly, the present application is based on this.
The following specifically describes a method for evaluating the quality of a highly caking coal according to the example of the present application:
a quality evaluation method of strongly caking coal, comprising:
s1, at least two kinds of strong caking coals to be evaluated are respectively and independently matched with auxiliary coals with the same type to form matched coal groups, each matched coal group comprises at least one part of matched coal, the matched coals of different groups are in one-to-one correspondence, and the matched coal in one-to-one correspondence contains the strong caking coals with the same coal blending ratio and different types and the auxiliary coals with the same coal blending ratio and the same type.
The corresponding blended coal contains the strongly-bonded coal to be evaluated with the same blending ratio and different types and the auxiliary coal with the same blending ratio and the same type, so that the interference of the change of other coal types on the coke thermal performance (CRI and CSR) indexes of the blended coal is eliminated, and a more accurate quality evaluation result of the strongly-bonded coal can be obtained when the performance indexes of at least two kinds of strongly-bonded coal are compared.
Specifically, the blended coal is prepared from a plurality of single coals according to a certain blending ratio, wherein in the application, the auxiliary coal is all the single coals except the single strong caking coal to be evaluated in each blended coal.
It should be noted that the auxiliary coal may include non-coking coal, but in the actual use process, the auxiliary coal is generally coking coal (including but not limited to gas coal, coking coal, lean coal, fat coal, etc.), so in order to truly simulate the role of the strongly-sticky coal in the actual coal blending and coking industrial production, the auxiliary coal is coking coal, and the auxiliary coal may be composed of one or more coking coals.
It should be noted that the auxiliary coal does not contain the strongly-caking coal to be detected, but may contain other strongly-caking coals not to be detected, but optionally does not contain the strongly-caking coal in order to further avoid interfering with the detection result.
Optionally, the blending ratio of the strongly-bonded coal in the blended coal is 10-30%, specifically 16-26%, which meets the application ratio of the strongly-bonded coal in the actual blending coking industrial production and can truly reflect the function of the strongly-bonded coal in the actual blending coking industrial production.
The main reasons for the large amount of coke bubbles generated by the single coking of the strongly caking coal are that the active components are excessive, the inert components are insufficient, namely the composition equilibrium constant CBI greatly deviates from the theoretical optimal value of 1.0, and the CBI of the strongly caking coal A in the subsequent examples is 0.35. Thus, specifically, the CBI per blend coal is between 0.95 and 1.10. The method is characterized in that strongly-caking coal to be detected and auxiliary coal are blended for coking, the coal blending ratio of corresponding blended coal is fixed, the CBI of the blended coal is limited in a certain range [0.95-1.10], and interference caused by excessive or insufficient active components of the blended coal (which deviate from a theoretical value of 1.0 to a great extent) on coke quality comparison is effectively eliminated.
That is, in the actual operation process, the coal blending is preset and the CBI of the coal blending is obtained, the coal blending which does not accord with the CBI of 0.95-1.10 is removed, and the coal blending which accords with the CBI of 0.95-1.10 is used as the coal blending which can be used for quality evaluation in the application.
Alternatively, the method for determining the CBI of blended coal comprises:
step 1: the CBI and blending ratio of each individual coal constituting the blended coal were obtained separately.
Alternatively, in step 1, the method for determining the CBI of each individual coal comprises:
(1) and obtaining vitrinite reflectivity of each single coal forming the blended coal, setting a plurality of continuous vitrinite reflectivity statistical intervals and obtaining the distribution frequency of the vitrinite reflectivity in each statistical interval.
Since the content of the stable components in the coking coal is generally less than 3% when the content of the microconstituents (live and inert components) of a single coal is determined according to national standards, some coking coals do not even have the stable components in the process of microconstituent determination, and the content of the vitrinite generally exceeds 50%, optionally, when the single coal forming the blended coal comprises the coking coal, the stable components contained in the coking coal are classified into the vitrinite. That is, the reflectivity of a small amount of stable groups in the coking coal is not measured independently, and the stable groups are classified into vitrinite groups and considered, so that the deviation caused by the stable groups is ignored.
Optionally, a value of the vitrinite reflectance statistical interval is less than or equal to 0.1, for example, 0.02 to 0.1, specifically, for example, a value of the vitrinite reflectance statistical interval is 0.02, 0.04, 0.05, 0.06, 0.08, and/or 0.1, and the like, where the larger the value is, the accuracy of the obtained CBI of the single coal may be reduced.
(2) And obtaining the actual content of the active components of the single coal in each statistical interval.
Optionally, the method of actual content of active ingredient per statistical interval comprises:
and obtaining the total vitrinite content of the single coal according to a mode shown by national standards, and obtaining the actual content of the active components in the corresponding statistical intervals by utilizing the product of the total vitrinite content and the distribution frequency of each statistical interval.
(3) Fitting an equation according to the change rule of the inert-activity ratio of the single coal with different metamorphism degrees:
Figure BDA0002755811170000051
x is the vitrinite reflectance and y is the theoretical inert to active ratio.
And fitting an equation according to the change rule of the inert-to-active ratio of the single coal, and obtaining a corresponding theoretical inert-to-active ratio y by taking the value of the vitrinite reflectance x in each statistical interval. Wherein, different values of x will influence the value of the inert-to-active ratio y in each statistical interval, and will influence the final calculation precision.
Based on the fitting equation which is a gaussian curve, in the application, x is the median value of the reflectivity of the vitrinite in each statistical interval, that is, the theoretical inert-to-active ratio corresponding to the median value of the reflectivity of the vitrinite in each statistical interval is selected and obtained, so that the theoretical content of the inert component in each statistical interval can be accurately reflected, and the accuracy of the final result is effectively improved.
That is, the theoretical inert-to-active ratio y corresponding to the median value of the vitrinite reflectance in each statistical interval is obtained according to the fitting equation of the inert-to-active ratio change rules of the single coal with different metamorphism degrees.
(4) And obtaining the theoretical content of the inert component in each statistical interval according to the product of the actual content of the active component in each statistical interval and the theoretical inert-to-active ratio y.
(5) And summing the theoretical contents of the inert components in all the statistical intervals to obtain the theoretical total content of the inert components of the single coal.
(6) And obtaining the composition equilibrium constant CBI of the single coal by utilizing the actual content of the inert components and the theoretical total content of the inert components of the single coal.
As the coking coal vitrinite active masses with different metamorphism degrees have differences, the vitrinite component orders of different coking coals are counted, the theoretical contents of the inert components corresponding to vitrinite groups in different intervals are respectively calculated by using a universal fitting equation, and finally the theoretical contents of the inert components in all the intervals are summed to calculate the theoretical content of the inert components of the single coal.
Step 2: and obtaining the weighted CBI of each single coal through the product of the CBI of each single coal and the corresponding coal blending ratio, and summing the weighted CBI of each single coal in the blended coal to obtain the CBI of the blended coal.
And S2, obtaining the CRI and CSR of the blended coal as performance indexes of the strongly-bonded coal contained in the blended coal.
If single matched coal is adopted for coking and CRI and CSR indexes are compared, on one hand, the influence of single detection error on a single comparison result is large, on the other hand, the repeatability deviation of CRI and CSR detection specified by the current national standard GB/T4000-2017 of coke thermal performance index detection is respectively 2.4 percent and 3.2 percent, when the single blended coal corresponding to different strongly-bonded coals is coked and the deviation of the CRI and the CSR indexes is small, as shown in the application table 5, in the schemes 2 and 3 corresponding to the highly-caking coal A, B, the contained highly-caking coal is obviously different, however, the Δ CRI of the blended coal corresponding to the schemes 2 and 3 is within the national standard repeatability deviation, so that the reliability of the quality evaluation conclusion of the highly-caking coal is reduced, further, the value of the Δ CRI of the scheme 2 shown in the application table 5 is completely opposite to the mean value Δ CRI, and the reliability of the quality evaluation conclusion of the highly-caking coal is also reduced.
Therefore, optionally, in the step of blending at least two kinds of strongly sticky coal to be evaluated with auxiliary coal of the same kind independently and forming blended coal groups respectively: each group of the mixed coal group comprises at least two parts of mixed coal;
and obtaining the CRI and the CSR of each part of blended coal corresponding to each kind of strong sticky coal, and taking the CRI and the CSR as the performance indexes of the blended coal contained in each part of blended coal. That is, the preferred embodiment of the present application uses at least two portions of blended coal, and uses the average value of the coke thermal performance indexes in the series of schemes as the quality evaluation basis, thereby reducing the influence of the repeatability deviation of a single experimental scheme and improving the reliability of the comparison data.
Further optionally, in the step of blending at least two strongly-sticky coals to be evaluated with auxiliary coals of the same kind independently and forming blended coal groups respectively: each group of the mixed coal group comprises at least three parts of mixed coal; the arrangement of the three or more than three parts of the matched coal can effectively reduce random errors and improve the reliability of the comparison data.
And S3, comparing the performance indexes of the strongly-bonded coal of different types to obtain the quality evaluation result of the strongly-bonded coal.
When the performance indexes of different types of strong caking coal are compared, the comparison can be carried out according to the existing CRI and CSR judging modes, namely, the comparison is carried out by comparing the CRI difference value of the matched coal corresponding to the different types of strong caking coal and the CSR difference value.
And when each group of blended coal group comprises at least two blended coals, comparing the average CRI difference value and the average CSR difference value of all the blended coals corresponding to the different kinds of strongly-bonded coals to obtain the quality evaluation result of the strongly-bonded coals.
The method for evaluating the quality of the highly caking coal according to the present invention will be described in further detail with reference to examples.
Examples
A quality evaluation method of strongly caking coal, comprising:
s1, obtaining two kinds of strong caking coal to be evaluated as strong caking coal A and strong caking coal B respectively. The method comprises the steps of respectively and independently matching strongly-caking coal A and strongly-caking coal B with auxiliary coals of the same type to form matched coal groups, measuring the CBI of the matched coal contained in each matched coal group by adopting the method for measuring the CBI of the matched coal provided by the application, removing the matched coal scheme with the CBI of 0.95-1.10, and selecting five groups of matched coals with the CBI of 0.95-1.10 as schemes 1(A) -5(A) containing the strongly-caking coal A independently and schemes 1(B) -5(B) containing the strongly-caking coal B independently, wherein the schemes 1(A) -5(A) and the schemes 1(B) -5(B) are in one-to-one correspondence in sequence, and are specifically shown in tables 1 and 2.
TABLE 1 coal blending scheme for A series of strongly caking coal and quality index of refined coke
Figure BDA0002755811170000081
TABLE 2 coal blending scheme for strong caking coal B series and quality index of refined coke
Figure BDA0002755811170000091
Taking the scheme 1(A) in the table 1 as an example, the method for determining the CBI of the blended coal specifically comprises the following steps: (1) the CBI and coal blending ratio of each individual coal constituting the protocol 1(A) were obtained separately. The process of obtaining CBI is described by taking the strongly caking coal A as an example, and please refer to Table 3 specifically.
Table 3: example of calculation of composition equilibrium constant CBI of strongly-bonded coal A
Figure BDA0002755811170000092
Figure BDA0002755811170000101
Wherein, the first column in table 3 is the vitrinite reflectance statistical interval of the strongly-caking coal a, and the second column is the frequency distribution of the vitrinite reflectance of the strongly-caking coal a in each statistical interval; the third column is the median of the specular component reflectivity interval; the fourth column is a theoretical inert ratio value corresponding to the median value in the vitrinite reflectivity interval; the fifth column is the actual content of the active component in each statistical interval, and the frequency of each interval of the vitrinite is multiplied by the total content of the vitrinite (in the example, the actual active component content of the strongly caking coal A is 80.1 percent, and the actual inert component content is 19.9 percent); the sixth column is the theoretical content of inert components of the strongly sticky coal a, corresponding to the product of the fifth column and the fourth column. And summing the intervals in the sixth row to obtain the theoretical content of the inert components of the strongly-bonded coal A of 56.6 percent, and dividing the actual content of the inert components of the strongly-bonded coal A by the theoretical content of the inert components to obtain the composition equilibrium constant CBI of 0.35.
According to the method, the CBI and the coal blending ratio of other single coals composing the scheme 1(A) are obtained in the same way.
(2) And obtaining the weighted CBI of each single coal through the product of the CBI of each single coal and the corresponding coal blending ratio, and summing the weighted CBI of each single coal in the blended coal to obtain the CBI of the blended coal. The details are shown in Table 4.
TABLE 4 scheme 1(A) calculation example of equilibrium constant CBI of coal blend composition
Coal kind CBI of single coal The proportion of the components is% Weighted CBI
Strongly caking coal A 0.35 26 0.091
Coking coal C 0.80 37 0.296
Coking coal D 1.25 16 0.200
Lean coal E 1.99 10 0.199
Gas coal F 1.74 11 0.191
Total up to - 0.98
And multiplying the CBI of each single coal in the scheme 1(A) by the blending ratio thereof to obtain a weighted CBI, and summing the weighted CBI of each single coal in the scheme 1(A) to obtain a blended coal CBI of 0.98 in the scheme 1 (A).
According to the above-described method, CBIs constituting the blended coals of schemes 2(A) -5(A) and schemes 1(B) -5(B) are obtained in the same manner.
S2, detecting the coke thermal performance indexes, namely detecting the coke quality indexes of the blended coal corresponding to each scheme by using the current national standard GB/T4000-2017, and obtaining the coke quality indexes as shown in tables 1 and 2.
S3, comparing the influence difference of the strong caking coal A, B on the thermal property of the coke refined by the blending coal under the same proportioning condition. The results are shown in Table 5.
TABLE 5 difference in the influence of two strongly caking coals A or B on coke thermal properties
Figure BDA0002755811170000111
As can be seen from Table 5, on the premise that the coal ratio of the two kinds of strongly sticky coal is 18% -26% and the CBI of each part of blended coal is in the range of 0.95-1.10, the influence of the strongly sticky coal A on the CRI of coke refined from the blended coal is lower by 3.55% on average, and the influence of the strongly sticky coal A on the CSR of coke refined from the blended coal is higher by 7.52% on average, so that the quality of the strongly sticky coal A is superior to that of the strongly sticky coal B.
In conclusion, the quality evaluation method of the strong caking coal provided by the application utilizes the thermal performance indexes (CRI and CSR) of the blended coal coke to evaluate the quality of the single strong caking coal, more truly simulates the effect of the strong caking coal in the actual coal blending coking industrial production, and makes up the defect of evaluating the coal quality by utilizing the G, Y value of the single strong caking coal or the thermal performance index measured by single coking.
The foregoing is merely exemplary of the present application and is not intended to limit the present application, which may be modified or varied by those skilled in the art. Any modification, equivalent replacement, improvement and the like made within the spirit and principle of the present application shall be included in the protection scope of the present application.

Claims (10)

1. A quality evaluation method of strongly caking coal is characterized by comprising the following steps:
at least two kinds of strongly sticky coal to be evaluated are respectively and independently matched with auxiliary coal with the same type to form matched coal groups, and each matched coal group comprises at least one matched coal; the blended coals in different groups correspond to one another one by one, wherein the blended coals in one-to-one correspondence contain the strongly caking coals with the same blending ratio and different types and the auxiliary coals with the same blending ratio and the same type, and the CBI of each blended coal is 0.95-1.10;
obtaining the CRI and CSR of the blended coal as performance indexes of the strongly-sticky coal contained in the blended coal;
and comparing the performance indexes of the strongly caking coal of different species to obtain a quality evaluation result of the strongly caking coal.
2. The method for evaluating the quality of the highly-caking coal according to claim 1, wherein at least two highly-caking coals to be evaluated are independently blended with auxiliary coals of the same type and form a blended coal group, respectively, in the step of: each group of the mixed coal group comprises at least two parts of mixed coal;
and obtaining the CRI and the CSR of each part of the blended coal corresponding to each kind of the strong caking coal, and comparing the average CRI difference value and the average CSR difference value of the at least two parts of the blended coal corresponding to different kinds of the strong caking coal to obtain the quality evaluation result of the strong caking coal.
3. The method for evaluating the quality of highly-caking coal according to claim 2, wherein each group of blended coal comprises at least three blended coals.
4. The method of evaluating the quality of a highly caking coal according to claim 1, wherein the method of measuring the CBI of a blended coal comprises:
respectively obtaining CBI and coal blending ratio of each single coal composing the blended coal;
obtaining the weighted CBI of each single coal through the product of the CBI of each single coal and the corresponding coal blending ratio, and summing the weighted CBI of each single coal in the blended coal to obtain the CBI of the blended coal.
5. The method for evaluating the quality of strongly caking coal according to claim 4, wherein the method for determining the CBI of each of said individual coals comprises:
obtaining vitrinite reflectivity of each single coal forming the blended coal, setting a plurality of continuous vitrinite reflectivity statistical intervals and obtaining distribution frequency of the vitrinite reflectivity in each statistical interval;
obtaining the actual content of the active components of the single coal in each statistical interval;
fitting an equation according to the change rule of the inert-activity ratio of the single coal with different metamorphism degrees:
Figure FDA0002755811160000021
x is the vitrinite reflectivity, y is the theoretical inert-to-live ratio, and the theoretical inert-to-live ratio y corresponding to the vitrinite reflectivity median value of each statistical interval is obtained;
obtaining the theoretical content of the inert component in each statistical interval according to the product of the actual content of the active component in each statistical interval and the theoretical inert-to-active ratio y;
summing the theoretical contents of the inert components in all the statistical intervals to obtain the theoretical total content of the inert components of the single coal;
and obtaining the composition equilibrium constant CBI of the single coal by utilizing the actual content of the inert components of the single coal and the theoretical total content of the inert components.
6. The method of claim 5, wherein when the individual coals constituting the blended coal include coking coals, stable fractions contained in the coking coals are classified into vitrinite fractions.
7. The quality evaluation method of the strongly-bonded coal according to claim 5, wherein the value of the vitrinite reflectivity statistic interval is less than or equal to 0.1.
8. The method for evaluating the quality of the strongly-bonded coal according to claim 5, wherein the method for obtaining the actual content of the active component for each statistical interval comprises:
and obtaining the total vitrinite content of the single coal, and obtaining the actual content of the active component in the corresponding statistical interval by utilizing the product of the total vitrinite content and the distribution frequency of the statistical interval.
9. The method of evaluating the quality of highly-caking coal according to claim 1, wherein said auxiliary coal is coking coal.
10. The method of evaluating the quality of a highly caking coal according to any one of claims 1 to 9, wherein said auxiliary coal does not contain a highly caking coal.
CN202011206167.5A 2020-11-02 2020-11-02 Quality evaluation method of strongly-bonded coal Pending CN112330137A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202011206167.5A CN112330137A (en) 2020-11-02 2020-11-02 Quality evaluation method of strongly-bonded coal

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202011206167.5A CN112330137A (en) 2020-11-02 2020-11-02 Quality evaluation method of strongly-bonded coal

Publications (1)

Publication Number Publication Date
CN112330137A true CN112330137A (en) 2021-02-05

Family

ID=74324616

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202011206167.5A Pending CN112330137A (en) 2020-11-02 2020-11-02 Quality evaluation method of strongly-bonded coal

Country Status (1)

Country Link
CN (1) CN112330137A (en)

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102994129A (en) * 2012-12-03 2013-03-27 广东韶钢松山股份有限公司 Gas coal blended coking blending coal and preparation method thereof
CN109409785A (en) * 2018-11-29 2019-03-01 武汉钢铁有限公司 The method for establishing the coal quality comparative evaluation model of different coking coal inter-species

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102994129A (en) * 2012-12-03 2013-03-27 广东韶钢松山股份有限公司 Gas coal blended coking blending coal and preparation method thereof
CN109409785A (en) * 2018-11-29 2019-03-01 武汉钢铁有限公司 The method for establishing the coal quality comparative evaluation model of different coking coal inter-species

Non-Patent Citations (7)

* Cited by examiner, † Cited by third party
Title
任学延 等: "微观强粘比概念在炼焦配煤生产中的应用", 燃料与化工, vol. 39, no. 6, pages 11 - 13 *
崔桂忱: "《燃气制气工 初、中级工》", 31 March 1993, 中国建筑工业出版社, pages: 264 *
张文成 等: "微强黏比配煤参数的应用研究", 煤化工, no. 1, pages 21 - 23 *
李德平 等: "不同变质程度炼焦煤最佳活惰比研究", 煤化工, vol. 45, no. 6, pages 59 - 62 *
李德平 等: "强粘煤对焦炭质量影响差异研究", 南方金属, no. 3, pages 163 - 165 *
潘开灵 等: "活惰组分比例对焦炭CRI和CSR指标的影响", 燃料与化工, vol. 48, no. 6, pages 25 - 27 *
胡德生 等: "宝钢煤岩配煤方法的研究", 钢铁, vol. 36, no. 1, pages 1 - 5 *

Similar Documents

Publication Publication Date Title
US10295521B2 (en) Methods and apparatuses for spectral qualification of fuel properties
CN109777528B (en) Molecular grade diesel oil blending method
CN103275740B (en) Evaluation method of fat coal quality
CN113238022B (en) Evaluation method for cost performance of coking coal
CN109409785B (en) Method for establishing coal quality comparison evaluation model among different coking coal types
CN109540837B (en) Method for rapidly detecting lignocellulose content of ramie leaves by near infrared
CA1158048A (en) Process for adjusting the proportions of coals in a coal blend
CN112330137A (en) Quality evaluation method of strongly-bonded coal
CN103278611A (en) 1/3 coking coal quality evaluation method
CN114518443A (en) Method for evaluating stability of thick oil colloid
CN113684048B (en) Coking coal blending method, coal blending system and industrial control equipment
CN104102821A (en) Method for establishing gas coal quality evaluation model
CN112858265B (en) Calibration method and evaluation system of chemiluminescence nitrogen determinator
CN115619022A (en) Coke quality prediction method based on support vector machine and application thereof
KR102299553B1 (en) Prediction method for cold strength of coke
CN112029525A (en) Method for identifying weathering oxidation deterioration degree of coking coal
CN107290288A (en) A kind of flue-cured tobacco brown stain degree rapid assay methods and its application
CN114062589A (en) Method for evaluating cigarette ash characteristics
CN105713632B (en) Coal blending method mainly using fat coal
Hrušková et al. Solvent retention capacity values in relation to the Czech commercial wheat quality
CN112881645B (en) Method for accurately predicting coke cold strength by introducing coal rock components
Geng et al. A New Predictive Vehicle Particulate Emissions Index Based on Gasoline Simulated Distillation
CN113466288B (en) Method for evaluating sorghum by using peak gelatinization temperature
Delwiche et al. On the use of native corn starch as a standard reference material for falling number
CN107957426A (en) Method for indirectly calibrating single-wavelength X-ray sulfur content tester

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination