CN108132207B - Front peak identification technical method for coke pore structure detection - Google Patents
Front peak identification technical method for coke pore structure detection Download PDFInfo
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Abstract
A front peak identification technical method for coke pore structure detection is characterized in that coke is firstly cut into blocks, then a coke block is placed under a microscope for shooting, an obtained microscopic picture is input into a computer, the computer marks all gray data values on a coordinate graph according to the size, the computer carries out smoothing treatment on the coordinate graph to obtain a peak containing a pore with a lower value range in the smooth graph, namely a front peak, the computer finds out a gray value corresponding to the maximum gray value position of front peak distribution and marks the gray value as a front peak limit value, and after the front peak limit value is obtained, the formula is passed: the method comprises the following steps of calculating a hole wall segmentation threshold value which is a front peak threshold value plus an offset value, and dividing all pixel blocks into two types according to the hole wall segmentation threshold value, namely: and (4) air holes and focal walls, and recording the sizes of the air holes or the focal walls in each line of pixels on the picture by a computer through continuous statistics. The invention can realize the quick, accurate and automatic identification of coke air holes and coke walls, has high detection speed and is convenient to use.
Description
Technical Field
The invention belongs to the field of coke detection, and particularly relates to a technical method for identifying a front peak for coke pore structure detection.
Background
The strength of the coke depends to some extent on its pore structure. At present, the porosity detection of metallurgical coke and cast coke only comprises methods of air extraction and water drainage and true and false density calculation, and the apparent porosity or total porosity of the coke can only be obtained by the methods, so that specific structural parameters such as the diameter, thickness and distribution of coke pores and coke walls cannot be obtained. The distribution parameters can be obtained by using an optical microscope ocular ruler and adopting a manual row-by-row measurement method, but the method has a series of defects of long time consumption, high eye intensity, no representativeness of single-block detection, poor reproducibility and the like, and cannot be implemented in practice. In order to more scientifically evaluate the coke quality and research the coal blending requirement, the coke industry urgently needs a coke pore structure detection technology and an instrument which can accurately, quickly and really meet the production requirement.
Disclosure of Invention
The invention provides a technical method for identifying a front peak for detecting a coke pore structure, which is used for overcoming the defects in the prior art.
The invention is realized by the following technical scheme:
a front peak identification technical method for coke pore structure detection comprises the following steps:
the method comprises the following steps: cutting irregular coke blocks into regular square blocks, reinforcing the coke blocks by using a binder, and finely grinding the coke blocks until the surfaces of the coke blocks are bright;
step two: placing the square coke block obtained in the step one under a microscope, and shooting a microscopic picture of the initial area of the finely ground coke block by a high-precision camera arranged on the microscope;
step three: inputting the obtained microscopic picture into a computer, extracting the gray value of each pixel point in the picture by the computer, recording the corresponding horizontal and vertical coordinate values of the pixel points, and marking all gray data values on a coordinate graph by the computer according to the size, wherein the horizontal coordinate represents the gray value, and the vertical coordinate represents the number or percentage of the data;
step four: after the coordinate diagram is generated, the computer carries out smoothing treatment on tiny miscellaneous peaks formed by various reasons by adopting a five-point three-time processing method to obtain a peak which at least comprises a pore with a lower value range in the smooth diagram and is a front peak, and the computer finds out a gray value corresponding to the maximum gray value position of front peak distribution by utilizing a data sorting principle and records the gray value as a front peak limit value;
step five: after the front peak limit value is calculated, the formula is used for: calculating a hole wall segmentation limit value which is a pre-peak limit value plus an offset value, wherein the offset value is a numerical value determined by an experiment, dividing all pixel blocks on the picture into two types according to the calculated hole wall segmentation limit value when statistics is started, marking the pixel block higher than the hole wall segmentation limit value as a focal wall, and marking the pixel block lower than the hole wall segmentation limit value as an air hole;
step six: after the pixel blocks are classified, respectively counting the number of adjacent continuous pixel blocks of the same type, and multiplying the number by the side length (micrometer) of each pixel block to obtain the diameter of a certain air hole or the thickness (micrometer) of a certain focal wall;
step seven: the computer continuously counts and records the size of each air hole or focal wall in each row of pixels in the picture, and calculates according to the following method:
average porosity% (% average porosity) (micrometer) of the sum of all pore diameters (micrometer)/(sum of all pore diameters + sum of all coke wall thicknesses);
average pore diameter (micron) is the sum of all pore diameters (micron)/total pore number;
average wall thickness (microns) is the sum of all focal wall thicknesses (microns)/total focal wall number;
the content of the pore diameter of a certain step is equal to the number of pores falling in the step/the total number of pores;
the coke wall content% of a certain step is the number of coke walls falling in the step/the total number of coke walls;
step eight: and repeating the second step to the seventh step, shooting and counting the average porosity, the average wall thickness (micrometer), the average pore diameter (micrometer), the pore diameter size distribution and the focal wall thickness size distribution data of all the area micrographs of the lump coke sample in the equidistant distribution, and summarizing and averaging the average porosity, the average wall thickness (micrometer), the average pore diameter (micrometer), the pore diameter size distribution and the focal wall thickness size distribution data. Finally obtaining parameters of the lump coke sample such as average porosity, average wall thickness (micrometer), average pore diameter (micrometer), pore diameter size distribution, coke wall thickness size distribution and the like.
Preferably, the length of the coke slab in step one is 40mm, the width of the coke slab in step one is 40mm, and the height of the coke slab in step one is 20 mm.
Preferably, the offset value ranges between 2900 and 3100.
The invention has the advantages that: the invention can realize the quick, accurate and automatic identification of coke pores and coke walls, and solves the problems of no automation technology, low efficiency judgment by manpower, poor sampling representativeness and poor reproducibility in the field of measuring the coke pore structure by a microscope method at present; the invention does not need manual auxiliary judgment any more, has high detection speed which is generally 1-2 minutes per sample, and can meet the condition of more samples to be detected in daily production.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without creative efforts.
FIG. 1 is a schematic diagram of "front peaks" and "pore wall segmentation limits" of the present coke pore front identification technique;
FIG. 2 is a diagram showing the recognition effect of the present coke pore front recognition technique;
FIG. 3 is a report of the results of the coke pore front identification technique.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the embodiments of the present invention, and it is obvious that the described embodiments are some embodiments of the present invention, but not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Example 1
A front peak identification technical method for coke pore structure detection comprises the following steps:
the method comprises the following steps: cutting irregular coke blocks into regular square blocks, wherein the length of each coke block is 40mm, the width of each coke block is 40mm, and the height of each coke block is 20mm, reinforcing the coke blocks by using an adhesive, and finely grinding the coke blocks until the surfaces of the coke blocks are bright;
step two: placing the square coke block obtained in the step one under a microscope, and shooting a microscopic picture of the initial area of the finely ground coke block by a high-precision camera arranged on the microscope;
step three: inputting the obtained microscopic picture into a computer, extracting the gray value of each pixel point in the picture by the computer, recording the corresponding horizontal and vertical coordinate values of the pixel points, and marking all gray data values on a coordinate graph by the computer according to the size, wherein the horizontal coordinate represents the gray value and the vertical coordinate represents the data number;
step four: after the coordinate diagram is generated, the computer carries out smoothing treatment on tiny miscellaneous peaks formed by various reasons by adopting a five-point three-time processing method to obtain a peak which at least comprises a pore with a lower value range in the smooth diagram and is a front peak, and the computer finds out a gray value corresponding to the maximum gray value position of front peak distribution by utilizing a data sorting principle and records the gray value as a front peak limit value;
step five: after the front peak limit value is calculated, the formula is used for: calculating a hole wall segmentation limit value which is a pre-peak limit value plus an offset value, wherein the hole wall segmentation limit value is a numerical value determined by an experiment, the offset value is 2900, starting statistics, dividing all pixel blocks on the picture into two types according to the calculated hole wall segmentation limit value, marking the pixel block higher than the hole wall segmentation limit value as a focal wall, and marking the pixel block lower than the hole wall segmentation limit value as an air hole;
step six: after the pixel blocks are classified, respectively counting the number of adjacent continuous pixel blocks of the same type, and multiplying the number by the side length (micrometer) of each pixel block to obtain the diameter of a certain air hole or the thickness (micrometer) of a certain focal wall;
step seven: the computer continuously counts and records the size of each air hole or focal wall in each row of pixels in the picture, and calculates according to the following method:
average porosity% (% average porosity) (micrometer) of the sum of all pore diameters (micrometer)/(sum of all pore diameters + sum of all coke wall thicknesses);
average pore diameter (micron) is the sum of all pore diameters (micron)/total pore number;
average wall thickness (microns) is the sum of all focal wall thicknesses (microns)/total focal wall number;
the content of the pore diameter of a certain step is equal to the number of pores falling in the step/the total number of pores;
the coke wall content% of a certain step is the number of coke walls falling in the step/the total number of coke walls;
step eight: and repeating the second step to the seventh step, shooting and counting the average porosity, the average wall thickness (micrometer), the average pore diameter (micrometer), the pore diameter size distribution and the focal wall thickness size distribution data of all the area micrographs of the lump coke sample in the equidistant distribution, and summarizing and averaging the average porosity, the average wall thickness (micrometer), the average pore diameter (micrometer), the pore diameter size distribution and the focal wall thickness size distribution data. Finally obtaining parameters of the lump coke sample such as average porosity, average wall thickness (micrometer), average pore diameter (micrometer), pore diameter size distribution, coke wall thickness size distribution and the like.
Example 2
A front peak identification technical method for coke pore structure detection comprises the following steps:
the method comprises the following steps: cutting irregular coke blocks into regular square blocks, wherein the length of each coke block is 40mm, the width of each coke block is 40mm, and the height of each coke block is 20mm, reinforcing the coke blocks by using an adhesive, and finely grinding the coke blocks until the surfaces of the coke blocks are bright;
step two: placing the square coke block obtained in the step one under a microscope, and shooting a microscopic picture of the initial area of the finely ground coke block by a high-precision camera arranged on the microscope;
step three: inputting the obtained microscopic picture into a computer, extracting the gray value of each pixel point in the picture by the computer, recording the corresponding horizontal and vertical coordinate values of the pixel points, and marking all gray data values on a coordinate graph by the computer according to the size, wherein the horizontal coordinate represents the gray value and the vertical coordinate represents the data number;
step four: after the coordinate diagram is generated, the computer carries out smoothing treatment on tiny miscellaneous peaks formed by various reasons by adopting a five-point three-time processing method to obtain a peak which at least comprises a pore with a lower value range in the smooth diagram and is a front peak, and the computer finds out a gray value corresponding to the maximum gray value position of front peak distribution by utilizing a data sorting principle and records the gray value as a front peak limit value;
step five: after the front peak limit value is calculated, the formula is used for: calculating a hole wall segmentation limit value which is a pre-peak limit value plus an offset value, wherein the hole wall segmentation limit value is a numerical value determined by an experiment, the offset value is 3000, when statistics is started, dividing all pixel blocks on the picture into two types according to the calculated hole wall segmentation limit value, marking the pixel block higher than the hole wall segmentation limit value as a focal wall, and marking the pixel block lower than the hole wall segmentation limit value as an air hole;
step six: after the pixel blocks are classified, respectively counting the number of adjacent continuous pixel blocks of the same type, and multiplying the number by the side length (micrometer) of each pixel block to obtain the diameter of a certain air hole or the thickness (micrometer) of a certain focal wall;
step seven: the computer continuously counts and records the size of each air hole or focal wall in each row of pixels in the picture, and calculates according to the following method:
average porosity% (% average porosity) (micrometer) of the sum of all pore diameters (micrometer)/(sum of all pore diameters + sum of all coke wall thicknesses);
average pore diameter (micron) is the sum of all pore diameters (micron)/total pore number;
average wall thickness (microns) is the sum of all focal wall thicknesses (microns)/total focal wall number;
the content of the pore diameter of a certain step is equal to the number of pores falling in the step/the total number of pores;
the coke wall content% of a certain step is the number of coke walls falling in the step/the total number of coke walls;
step eight: and repeating the second step to the seventh step, shooting and counting the average porosity, the average wall thickness (micrometer), the average pore diameter (micrometer), the pore diameter size distribution and the focal wall thickness size distribution data of all the area micrographs of the lump coke sample in the equidistant distribution, and summarizing and averaging the average porosity, the average wall thickness (micrometer), the average pore diameter (micrometer), the pore diameter size distribution and the focal wall thickness size distribution data. Finally obtaining parameters of the lump coke sample such as average porosity, average wall thickness (micrometer), average pore diameter (micrometer), pore diameter size distribution, coke wall thickness size distribution and the like.
Example 3
A front peak identification technical method for coke pore structure detection comprises the following steps:
the method comprises the following steps: cutting irregular coke blocks into regular square blocks, wherein the length of each coke block is 40mm, the width of each coke block is 40mm, and the height of each coke block is 20mm, reinforcing the coke blocks by using an adhesive, and finely grinding the coke blocks until the surfaces of the coke blocks are bright;
step two: placing the square coke block obtained in the step one under a microscope, and shooting a microscopic picture of the initial area of the finely ground coke block by a high-precision camera arranged on the microscope;
step three: inputting the obtained microscopic picture into a computer, extracting the gray value of each pixel point in the picture by the computer, recording the corresponding horizontal and vertical coordinate values of the pixel points, and marking all gray data values on a coordinate graph by the computer according to the size, wherein the horizontal coordinate represents the gray value and the vertical coordinate represents the data number;
step four: after the coordinate diagram is generated, the computer carries out smoothing treatment on tiny miscellaneous peaks formed by various reasons by adopting a five-point three-time processing method to obtain a peak which at least comprises a pore with a lower value range in the smooth diagram and is a front peak, and the computer finds out a gray value corresponding to the maximum gray value position of front peak distribution by utilizing a data sorting principle and records the gray value as a front peak limit value;
step five: after the front peak limit value is calculated, the formula is used for: calculating a hole wall segmentation limit value which is a pre-peak limit value plus an offset value, wherein the hole wall segmentation limit value is a numerical value determined by an experiment, the offset value is 3100, starting statistics, dividing all pixel blocks on the picture into two types according to the calculated hole wall segmentation limit value, marking the pixel block higher than the hole wall segmentation limit value as a focal wall, and marking the pixel block lower than the hole wall segmentation limit value as an air hole;
step six: after the pixel blocks are classified, respectively counting the number of adjacent continuous pixel blocks of the same type, and multiplying the number by the side length (micrometer) of each pixel block to obtain the diameter of a certain air hole or the thickness (micrometer) of a certain focal wall;
step seven: the computer continuously counts and records the size of each air hole or focal wall in each row of pixels in the picture, and calculates according to the following method:
average porosity% (% average porosity) (micrometer) of the sum of all pore diameters (micrometer)/(sum of all pore diameters + sum of all coke wall thicknesses);
average pore diameter (micron) is the sum of all pore diameters (micron)/total pore number;
average wall thickness (microns) is the sum of all focal wall thicknesses (microns)/total focal wall number;
the content of the pore diameter of a certain step is equal to the number of pores falling in the step/the total number of pores;
the coke wall content% of a certain step is the number of coke walls falling in the step/the total number of coke walls;
step eight: and repeating the second step to the seventh step, shooting and counting the average porosity, the average wall thickness (micrometer), the average pore diameter (micrometer), the pore diameter size distribution and the focal wall thickness size distribution data of all the area micrographs of the lump coke sample in the equidistant distribution, and summarizing and averaging the average porosity, the average wall thickness (micrometer), the average pore diameter (micrometer), the pore diameter size distribution and the focal wall thickness size distribution data. Finally obtaining parameters of the lump coke sample such as average porosity, average wall thickness (micrometer), average pore diameter (micrometer), pore diameter size distribution, coke wall thickness size distribution and the like.
Example 4
A front peak identification technical method for coke pore structure detection comprises the following steps:
the method comprises the following steps: cutting irregular coke blocks into regular square blocks, wherein the length of each coke block is 40mm, the width of each coke block is 40mm, and the height of each coke block is 20mm, reinforcing the coke blocks by using an adhesive, and finely grinding the coke blocks until the surfaces of the coke blocks are bright;
step two: placing the square coke block obtained in the step one under a microscope, and shooting a microscopic picture of the initial area of the finely ground coke block by a high-precision camera arranged on the microscope;
step three: inputting the obtained microscopic picture into a computer, extracting the gray value of each pixel point in the picture by the computer, recording the corresponding horizontal and vertical coordinate values of the pixel points, and marking all gray data values on a coordinate graph by the computer according to the size, wherein the horizontal coordinate represents the gray value and the vertical coordinate represents the data percentage;
step four: after the coordinate diagram is generated, the computer carries out smoothing treatment on tiny miscellaneous peaks formed by various reasons by adopting a five-point three-time processing method to obtain a peak which at least comprises a pore with a lower value range in the smooth diagram and is a front peak, and the computer finds out a gray value corresponding to the maximum gray value position of front peak distribution by utilizing a data sorting principle and records the gray value as a front peak limit value;
step five: after the front peak limit value is calculated, the formula is used for: calculating a hole wall segmentation limit value which is a pre-peak limit value plus an offset value, wherein the hole wall segmentation limit value is a numerical value determined by an experiment, the offset value is 2900, starting statistics, dividing all pixel blocks on the picture into two types according to the calculated hole wall segmentation limit value, marking the pixel block higher than the hole wall segmentation limit value as a focal wall, and marking the pixel block lower than the hole wall segmentation limit value as an air hole;
step six: after the pixel blocks are classified, respectively counting the number of adjacent continuous pixel blocks of the same type, and multiplying the number by the side length (micrometer) of each pixel block to obtain the diameter of a certain air hole or the thickness (micrometer) of a certain focal wall;
step seven: the computer continuously counts and records the size of each air hole or focal wall in each row of pixels in the picture, and calculates according to the following method:
average porosity% (% average porosity) (micrometer) of the sum of all pore diameters (micrometer)/(sum of all pore diameters + sum of all coke wall thicknesses);
average pore diameter (micron) is the sum of all pore diameters (micron)/total pore number;
average wall thickness (microns) is the sum of all focal wall thicknesses (microns)/total focal wall number;
the content of the pore diameter of a certain step is equal to the number of pores falling in the step/the total number of pores;
the coke wall content% of a certain step is the number of coke walls falling in the step/the total number of coke walls;
step eight: and repeating the second step to the seventh step, shooting and counting the average porosity, the average wall thickness (micrometer), the average pore diameter (micrometer), the pore diameter size distribution and the focal wall thickness size distribution data of all the area micrographs of the lump coke sample in the equidistant distribution, and summarizing and averaging the average porosity, the average wall thickness (micrometer), the average pore diameter (micrometer), the pore diameter size distribution and the focal wall thickness size distribution data. Finally obtaining parameters of the lump coke sample such as average porosity, average wall thickness (micrometer), average pore diameter (micrometer), pore diameter size distribution, coke wall thickness size distribution and the like.
Example 5
A front peak identification technical method for coke pore structure detection comprises the following steps:
the method comprises the following steps: cutting irregular coke blocks into regular square blocks, wherein the length of each coke block is 40mm, the width of each coke block is 40mm, and the height of each coke block is 20mm, reinforcing the coke blocks by using an adhesive, and finely grinding the coke blocks until the surfaces of the coke blocks are bright;
step two: placing the square coke block obtained in the step one under a microscope, and shooting a microscopic picture of the initial area of the finely ground coke block by a high-precision camera arranged on the microscope;
step three: inputting the obtained microscopic picture into a computer, extracting the gray value of each pixel point in the picture by the computer, recording the corresponding horizontal and vertical coordinate values of the pixel points, and marking all gray data values on a coordinate graph by the computer according to the size, wherein the horizontal coordinate represents the gray value and the vertical coordinate represents the data percentage;
step four: after the coordinate diagram is generated, the computer carries out smoothing treatment on tiny miscellaneous peaks formed by various reasons by adopting a five-point three-time processing method to obtain a peak which at least comprises a pore with a lower value range in the smooth diagram and is a front peak, and the computer finds out a gray value corresponding to the maximum gray value position of front peak distribution by utilizing a data sorting principle and records the gray value as a front peak limit value;
step five: after the front peak limit value is calculated, the formula is used for: calculating a hole wall segmentation limit value which is a pre-peak limit value plus an offset value, wherein the hole wall segmentation limit value is a numerical value determined by an experiment, the offset value is 3000, when statistics is started, dividing all pixel blocks on the picture into two types according to the calculated hole wall segmentation limit value, marking the pixel block higher than the hole wall segmentation limit value as a focal wall, and marking the pixel block lower than the hole wall segmentation limit value as an air hole;
step six: after the pixel blocks are classified, respectively counting the number of adjacent continuous pixel blocks of the same type, and multiplying the number by the side length (micrometer) of each pixel block to obtain the diameter of a certain air hole or the thickness (micrometer) of a certain focal wall;
step seven: the computer continuously counts and records the size of each air hole or focal wall in each row of pixels in the picture, and calculates according to the following method:
average porosity% (% average porosity) (micrometer) of the sum of all pore diameters (micrometer)/(sum of all pore diameters + sum of all coke wall thicknesses);
average pore diameter (micron) is the sum of all pore diameters (micron)/total pore number;
average wall thickness (microns) is the sum of all focal wall thicknesses (microns)/total focal wall number;
the content of the pore diameter of a certain step is equal to the number of pores falling in the step/the total number of pores;
the coke wall content% of a certain step is the number of coke walls falling in the step/the total number of coke walls;
step eight: and repeating the second step to the seventh step, shooting and counting the average porosity, the average wall thickness (micrometer), the average pore diameter (micrometer), the pore diameter size distribution and the focal wall thickness size distribution data of all the area micrographs of the lump coke sample in the equidistant distribution, and summarizing and averaging the average porosity, the average wall thickness (micrometer), the average pore diameter (micrometer), the pore diameter size distribution and the focal wall thickness size distribution data. Finally obtaining parameters of the lump coke sample such as average porosity, average wall thickness (micrometer), average pore diameter (micrometer), pore diameter size distribution, coke wall thickness size distribution and the like.
Example 4
A front peak identification technical method for coke pore structure detection comprises the following steps:
the method comprises the following steps: cutting irregular coke blocks into regular square blocks, wherein the length of each coke block is 40mm, the width of each coke block is 40mm, and the height of each coke block is 20mm, reinforcing the coke blocks by using an adhesive, and finely grinding the coke blocks until the surfaces of the coke blocks are bright;
step two: placing the square coke block obtained in the step one under a microscope, and shooting a microscopic picture of the initial area of the finely ground coke block by a high-precision camera arranged on the microscope;
step three: inputting the obtained microscopic picture into a computer, extracting the gray value of each pixel point in the picture by the computer, recording the corresponding horizontal and vertical coordinate values of the pixel points, and marking all gray data values on a coordinate graph by the computer according to the size, wherein the horizontal coordinate represents the gray value and the vertical coordinate represents the data percentage;
step four: after the coordinate diagram is generated, the computer carries out smoothing treatment on tiny miscellaneous peaks formed by various reasons by adopting a five-point three-time processing method to obtain a peak which at least comprises a pore with a lower value range in the smooth diagram and is a front peak, and the computer finds out a gray value corresponding to the maximum gray value position of front peak distribution by utilizing a data sorting principle and records the gray value as a front peak limit value;
step five: after the front peak limit value is calculated, the formula is used for: calculating a hole wall segmentation limit value which is a pre-peak limit value plus an offset value, wherein the hole wall segmentation limit value is a numerical value determined by an experiment, the offset value is 3100, starting statistics, dividing all pixel blocks on the picture into two types according to the calculated hole wall segmentation limit value, marking the pixel block higher than the hole wall segmentation limit value as a focal wall, and marking the pixel block lower than the hole wall segmentation limit value as an air hole;
step six: after the pixel blocks are classified, respectively counting the number of adjacent continuous pixel blocks of the same type, and multiplying the number by the side length (micrometer) of each pixel block to obtain the diameter of a certain air hole or the thickness (micrometer) of a certain focal wall;
step seven: the computer continuously counts and records the size of each air hole or focal wall in each row of pixels in the picture, and calculates according to the following method:
average porosity% (% average porosity) (micrometer) of the sum of all pore diameters (micrometer)/(sum of all pore diameters + sum of all coke wall thicknesses);
average pore diameter (micron) is the sum of all pore diameters (micron)/total pore number;
average wall thickness (microns) is the sum of all focal wall thicknesses (microns)/total focal wall number;
the content of the pore diameter of a certain step is equal to the number of pores falling in the step/the total number of pores;
the coke wall content% of a certain step is the number of coke walls falling in the step/the total number of coke walls;
step eight: and repeating the second step to the seventh step, shooting and counting the average porosity, the average wall thickness (micrometer), the average pore diameter (micrometer), the pore diameter size distribution and the focal wall thickness size distribution data of all the area micrographs of the lump coke sample in the equidistant distribution, and summarizing and averaging the average porosity, the average wall thickness (micrometer), the average pore diameter (micrometer), the pore diameter size distribution and the focal wall thickness size distribution data. Finally obtaining parameters of the lump coke sample such as average porosity, average wall thickness (micrometer), average pore diameter (micrometer), pore diameter size distribution, coke wall thickness size distribution and the like.
Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (3)
1. A front peak identification technical method for coke pore structure detection is characterized by comprising the following steps: the method comprises the following steps:
the method comprises the following steps: cutting irregular coke blocks into regular square blocks, reinforcing the coke blocks by using a binder, and finely grinding the coke blocks until the surfaces of the coke blocks are bright;
step two: placing the square coke block obtained in the step one under a microscope, and shooting a microscopic picture of the initial area of the finely ground coke block by a high-precision camera arranged on the microscope; extracting the gray value of each pixel point in the picture and simultaneously recording the corresponding horizontal and vertical coordinate values;
step three: inputting the obtained microscopic picture into a computer, extracting the gray value of each pixel point in the picture by the computer, recording the corresponding horizontal and vertical coordinate values, and marking all gray data values on a coordinate graph by the computer according to the size, wherein the horizontal coordinate represents the gray value, and the vertical coordinate represents the number or percentage of the data;
step four: after the coordinate diagram is generated, the computer carries out smoothing treatment on tiny miscellaneous peaks formed by various reasons by adopting a five-point three-time treatment method to obtain a peak which at least comprises a pore with a lower value range in the smooth diagram, namely a front peak, and the computer finds out a gray value corresponding to the maximum gray value position of the front peak distribution by utilizing a data sorting principle and records the gray value as a front peak limit value;
step five: after the front peak limit value is calculated, the formula is used for: calculating a hole wall segmentation limit value which is a pre-peak limit value plus an offset value, wherein the offset value is a numerical value determined by an experiment, dividing all pixel blocks on the picture into two types according to the calculated hole wall segmentation limit value when statistics is started, marking the pixel block higher than the hole wall segmentation limit value as a focal wall, and marking the pixel block lower than the hole wall segmentation limit value as an air hole;
step six: after the pixel blocks are classified, respectively counting the number of adjacent continuous pixel blocks of the same type, and multiplying the number by the side length of each pixel block to obtain the diameter of a certain air hole or the thickness of a certain focal wall;
step seven: the computer continuously counts and records the size of each air hole or focal wall in each row of pixels in the picture, and calculates according to the following method:
average porosity% (% average porosity) ((average porosity) (% average porosity) (-))) (average;
the average pore diameter is the sum of all pore diameters/total pore number;
the average wall thickness is the sum of all the coke wall thicknesses/the total coke wall number;
the content of the pore diameter of a certain step is equal to the number of pores falling in the step/the total number of pores;
the coke wall content% of a certain step is the number of coke walls falling in the step/the total number of coke walls;
step eight: repeatedly operating the second step to the seventh step, shooting and counting the average porosity, average wall thickness, average pore diameter, pore diameter distribution and focal wall thickness distribution data of all area micrographs of the block coke sample in equidistant distribution, and summarizing and averaging; finally obtaining the parameters of the average porosity, the average wall thickness, the average pore diameter, the pore diameter size distribution and the coke wall thickness size distribution of the block coke sample.
2. The method of claim 1, wherein the method comprises the following steps: the length of the coke block in step one is 40mm, the width of the coke block in step one is 40mm, and the height of the coke block in step one is 20 mm.
3. The method of claim 1, wherein the method comprises the following steps: the offset value ranges between 2900 and 3100.
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