Raw coal crushing system and method for industrial gas production

Abstract

The invention belongs to the technical field of industrial production, and provides a raw coal crushing system and method for industrial gas production, and the method comprises the steps: extracting the particle percentage of a material corresponding to an interval with a relatively low particle size, and judging the optimization demand of raw coal crushing; according to the linear influence relation between the rotation rate of the crusher and the material particle percentage corresponding to the relatively low particle size interval, the one-time rotation rate adjustment amount of the crusher is determined, and the raw coal crushing quality is guaranteed; on the basis of primary adjustment of the rotation rate of the crusher, the influence relation between the rotation rate and the material uniformity is analyzed, the adjustment amount of the secondary rotation rate is determined, direction consistency analysis of primary adjustment and secondary adjustment is carried out, and whether secondary adjustment can be carried out or not is determined, so that the percentage of unqualified material particles during raw coal crushing is reduced, and the crushing efficiency is improved. And the feeding uniformity during material crushing is guaranteed, and the raw coal crushing quality is further improved.

Description

Technical Field

[0001] The present invention belongs to the technical field of industrial production, and particularly relates to a raw coal crushing system and method for industrial gas production. Background Art

[0002] Precise raw coal crushing can enable the raw coal to fully contact with the reaction medium during the gasification process, promote the reaction to be more thorough, thereby improving the gas output rate and quality, effectively enhancing the energy conversion efficiency, and reducing energy waste. However, there are still deficiencies in the raw coal crushing process. Therefore, it is of great significance to study a raw coal crushing system and method for industrial gas production.

[0003] In the prior art, there is a problem of incomplete monitoring in traditional raw coal crushing. For example, in the traditional raw coal crushing process, a sieve is usually set to screen the crushed materials to obtain raw coal materials with qualified particle sizes. However, the problem is that since the setting of the sieve only restricts the maximum particle size of the materials, some raw coal materials that do not meet the qualified particle size range, that is, the raw coal materials with particle sizes lower than the minimum value of the qualified particle size range, can also pass through the sieve, resulting in a large number of raw coal materials with unqualified particle sizes in the crushed raw coal materials. And in the prior art, when optimizing the particle size of raw coal materials through operating parameters such as the rotation speed of the crusher, there is a lack of comprehensive analysis. For example, when optimizing the particle size of raw coal materials by adjusting the rotation speed of the crusher, if the production continues at the original feeding speed, it may lead to uneven distribution of materials in the crushing chamber, which is not conducive to raw coal crushing, and it is impossible to ensure the uniform distribution of raw coal materials while optimizing the particle size of raw coal materials, and comprehensively improve the quality of raw coal crushing.

[0004] Therefore, the present invention provides a raw coal crushing system and method for industrial gas production. Summary of the Invention

[0005] In order to make up for the deficiencies of the prior art and solve at least one of the technical problems proposed in the background art.

[0006] The technical solution adopted by the present invention to solve its technical problems is as follows:

[0007] In a first aspect, the present invention provides a raw coal crushing method for industrial gas production, including:

[0008] S1: Extract the particle percentage of the materials corresponding to the low particle size range and judge the optimization requirement of raw coal crushing;

[0009] S2: If the optimization requirement of raw coal crushing is high, judge whether there is a linear influence relationship between the rotation speed of the crusher and the particle percentage of the materials corresponding to the low particle size range. If there is, determine the first rotation speed adjustment amount of the crusher according to the linear influence relationship and adjust the rotation speed of the crusher;

[0010] S3: Detect the uniformity of the material particles in the crusher after adjusting the rotation rate, and determine whether the optimization of material uniformity is required.

[0011] S4: If the optimization of material uniformity is required, determine whether there is also a linear influence relationship between the rotation rate of the crusher and the material uniformity. If so, determine the secondary rotation rate adjustment amount of the crusher according to the linear influence relationship, and perform an analysis of the consistency of the adjustment directions with the primary rotation adjustment amount. If they are consistent, perform a secondary adjustment of the rotation rate of the crusher according to the secondary rotation rate adjustment amount.

[0012] In a second aspect, the present invention provides a raw coal crushing system for industrial gas production, including:

[0013] Particle size analysis module: Extract the particle percentage of the material corresponding to the low particle size range, and judge the optimization requirement of raw coal crushing;

[0014] Primary adjustment module: If the optimization requirement of raw coal crushing is high, determine whether there is a linear influence relationship between the rotation rate of the crusher and the particle percentage of the material corresponding to the low particle size range. If so, determine the primary rotation rate adjustment amount of the crusher according to the linear influence relationship, and adjust the rotation rate of the crusher.

[0015] Uniformity analysis module: Detect the uniformity of the material particles in the crusher after adjusting the rotation rate, and determine whether the optimization of material uniformity is required;

[0016] Secondary adjustment module: If the optimization of material uniformity is required, determine whether there is also a linear influence relationship between the rotation rate of the crusher and the material uniformity. If so, determine the secondary rotation rate adjustment amount of the crusher according to the linear influence relationship, and perform an analysis of the consistency of the adjustment directions with the primary rotation adjustment amount. If they are consistent, perform a secondary adjustment of the rotation rate of the crusher according to the secondary rotation rate adjustment amount.

[0017] The beneficial effects of the present invention are as follows:

[0018] 1. According to the particle size distribution curve, extract the particle percentage of the material corresponding to the low particle size range, and judge the optimization requirement of raw coal crushing. When the optimization requirement of raw coal crushing is relatively high, determine whether there is a linear influence relationship between the rotation rate of the crusher and the particle percentage of the material corresponding to the low particle size range. If so, determine the primary rotation rate adjustment amount of the crusher according to the linear influence relationship, ensuring the quality of raw coal crushing.

[0019] 2. Detect the uniformity of material particles in the crusher after adjusting the rotation speed, and determine whether it is necessary to optimize the material uniformity. If it is necessary to optimize the material uniformity, analyze the material uniformity of the crusher at different rotation speeds. If there is also a linear influence relationship between the rotation speed of the crusher and the material uniformity, determine the secondary rotation speed adjustment amount of the crusher according to the linear influence relationship, and conduct an analysis of the consistency of the adjustment direction with the primary rotation adjustment amount. If they are consistent, perform a secondary adjustment of the rotation speed of the crusher according to the secondary rotation speed adjustment amount. Based on the primary adjustment of the rotation speed of the crusher, the present invention also analyzes the influence relationship between the rotation speed and the material uniformity, determines the secondary rotation speed adjustment amount, and conducts an analysis of the consistency of the direction of the primary adjustment and the secondary adjustment to determine whether the secondary adjustment can be carried out. Through the primary adjustment and the secondary adjustment of the rotation speed, the present invention not only reduces the percentage of unqualified material particles during raw coal crushing but also ensures the uniformity of feeding during material crushing, further improving the quality of raw coal crushing. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] The present invention will be further described below with reference to the accompanying drawings.

[0021] Figure 1 is a flowchart of the steps of a raw coal crushing method for industrial gas production according to an embodiment of the present invention;

[0022] Figure 2 is a system module diagram of a raw coal crushing system for industrial gas production according to an embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0023] In order to make the technical means, creative features, achieved purposes, and functions of the present invention easy to understand, the present invention will be further described below in conjunction with specific embodiments.

[0024] Embodiment 1

[0025] Please refer to Figure 1 As shown, a raw coal crushing method for industrial gas production according to an embodiment of the present invention includes the following steps:

[0026] S1: Based on the particle size distribution curve of the material after raw coal crushing, extract the particle percentage of the material corresponding to the low particle size interval, and judge the optimization requirement of raw coal crushing;

[0027] The process of constructing the particle size distribution curve in S1 is as follows:

[0028] Irradiate the crushed material particles with the laser beam of a laser tester, calculate the particle size by measuring parameters such as the intensity and angle of the scattered light, and export the particle size data from the laser tester, including the particle size range, corresponding frequency, quantity, percentage, etc. Use drawing software such as Origin and Excel to construct a particle size distribution curve with the particle size of the material particles as the abscissa and the percentage as the ordinate;

[0029] It should be noted that the process of raw coal crushing is as follows: Load the pre-treated raw coal into the silo, and through the action of a vibrating feeder, send the material into the crusher. The material is crushed by the high-speed rotating hammer heads in the crusher, and the crushed material is screened by a vibrating screen and discharged from the screen holes;

[0030] The method for obtaining the low particle size range in S1 is as follows:

[0031] In the particle size distribution curve, mark the particle size distribution range outside the normal particle size range as the low particle size range;

[0032] It should be noted that the normal particle size range is set in advance by those skilled in the art according to the raw coal crushing requirements. For example, for the raw coal material used in a fixed bed gasifier, the particle size range is [5 - 75 mm];

[0033] Exemplarily, assuming that the overall corresponding particle size distribution range of the particle size distribution curve is: [1 - 75 mm], and the normal particle size range is: [5 - 75 mm], then the low particle size range is: [1 - 5 mm);

[0034] It should be noted that due to the screen set in the raw coal crushing, the screen is set to screen the material particles, and the aperture design of the screen is to limit the maximum particle size of the material. Therefore, the maximum value of the overall corresponding particle size distribution range of the particle size distribution curve will not exceed the maximum value of the normal particle size range;

[0035] It should also be noted that the role of obtaining the low particle size range is as follows:

[0036] Role 1: The low particle size range is used to judge whether there are unqualified particles in the material particles after raw coal crushing, and the particle proportion of the unqualified material particles can be determined by combining the low particle size range with the particle size distribution curve, which is beneficial to understanding the unqualified situation of the material particles after raw coal crushing;

[0037] Role 2: After determining the particle proportion of the unqualified material particles by combining the low particle size range with the particle size distribution curve, it can provide an optimization basis for subsequent raw coal crushing. The optimization adjustment amount can be analyzed and judged according to the unqualified situation of the material particles, improving the quality of raw coal crushing;

[0038] The method for judging the optimization requirement of raw coal crushing in S1 is as follows:

[0039] According to the particle size distribution curve, extract the percentage corresponding to the boundary of the low particle size range, and perform a difference calculation to obtain the particle percentage corresponding to the low particle size range.

[0040] Compare the particle percentage with a preset threshold.

[0041] If the particle percentage is greater than the preset threshold, it means that the proportion of non-conforming material particles generated during raw coal crushing is relatively large, and the raw coal crushing needs to be optimized, and the optimization requirement for raw coal crushing is high.

[0042] If the particle percentage is less than or equal to the preset threshold, it means that the proportion of non-conforming material particles generated during raw coal crushing is relatively small, and there is no need to optimize the raw coal crushing.

[0043] S2: If the optimization requirement for raw coal crushing is high, process and analyze the particle percentages of the materials corresponding to the low particle size ranges at different rotational speeds of the crusher, and determine whether there is a linear influence relationship between the rotational speed of the crusher and the particle percentages of the materials corresponding to the low particle size ranges. If there is, determine the primary rotational speed adjustment amount of the crusher according to the linear influence relationship, and adjust the rotational speed of the crusher.

[0044] The process of processing and analyzing the particle percentages of the materials corresponding to the low particle size ranges at different rotational speeds of the crusher in S2 includes:

[0045] According to the different rotational speeds of the crusher and the particle percentages of the materials corresponding to the low particle size ranges at different rotational speeds, integrate to obtain a rotational speed data set and a particle percentage data set.

[0046] It should be noted that each rotational speed in the rotational speed data set corresponds to a particle percentage of the material in the particle percentage data set.

[0047] Calculate the Pearson correlation coefficient between the rotational speed data set and the particle percentage data set using the Pearson correlation coefficient method, and take the absolute value to obtain a linear relationship value.

[0048] It can be understood that the Pearson correlation coefficient can accurately quantify the strength and direction of the linear relationship between two variables. When studying the rotational speed of the crusher and the percentage of materials in the low particle size range, it can clearly give whether there is a positive or negative correlation between the two, and the degree of correlation, which is convenient for adjusting the rotational speed.

[0049] Exemplarily, the present application makes an exemplary description for determining whether there is a linear influence relationship between the rotational speed of the crusher and the particle percentages of the materials corresponding to the low particle size ranges:

[0050] Suppose the existing set of rotational speed data is: (zs1, zs2, zs3......zsn), where n represents the amount of rotational speed data;

[0051] The set of particle percentage data is: (bf1, bf2, bf3......bfn), where n represents the amount of particle percentage data;

[0052] Calculate the Pearson correlation coefficient r, and the specific calculation formula is as follows:

[0053]

[0054] Where, zsi represents the i-th rotational speed data in the set of rotational speed data, and bfi represents the i-th particle percentage data in the set of particle percentage data; represents the average value of the set of rotational speed data, represents the average value of the set of particle percentage data;

[0055] If the linear relationship value is greater than or equal to the linear relationship threshold, it indicates that there is a linear influence relationship between the rotational speed of the crusher and the particle percentage of the material corresponding to the low particle size range;

[0056] If the linear relationship value is less than the linear relationship threshold, it indicates that there is no linear influence relationship between the rotational speed of the crusher and the particle percentage of the material corresponding to the low particle size range;

[0057] The process of determining the primary rotational speed adjustment amount of the crusher according to the linear influence relationship in S2 includes:

[0058] According to the set of rotational speed data and the set of particle percentage data, construct a two-dimensional rectangular coordinate system with the rotational speed as the X-axis and the particle percentage as the Y-axis, and mark the particle percentage data points within the two-dimensional rectangular coordinate system, and draw the particle percentage change curve;

[0059] Use the least squares method to fit the particle percentage change curve to obtain a linear fitting straight line, obtain the equation function of the linear fitting straight line, and obtain a linear influence model:

[0060] bf = k1 * zs + c

[0061] Where, k1 is the slope of the linear fitting straight line, c is the intercept, zs represents the rotational speed, and bf represents the particle percentage;

[0062] Perform a difference process on the particle percentage and the preset threshold to obtain the particle percentage optimization amount, input the particle percentage optimization amount into the linear influence model, output the primary rotational speed adjustment amount, and adjust the rotational speed of the crusher according to the primary rotational speed adjustment amount;

[0063] The technical solution of the embodiment of the present invention is as follows: According to the particle size distribution curve, the particle percentage of the material corresponding to the low particle size range is extracted, and the optimization requirement of raw coal crushing is judged. When the optimization requirement of raw coal crushing is relatively high, it is judged whether there is a linear influence relationship between the rotation speed of the crusher and the particle percentage of the material corresponding to the low particle size range. If there is, the primary rotation speed adjustment amount of the crusher is determined according to the linear influence relationship, ensuring the quality of raw coal crushing.

[0064] Embodiment 2

[0065] Please refer to Figure 1 As shown in the figure, based on Embodiment 1, a raw coal crushing method for industrial gas production according to an embodiment of the present invention includes the following steps:

[0066] S3: Detect the uniformity of the material particles in the crusher after adjusting the rotation speed, and judge whether it is necessary to optimize the material uniformity;

[0067] The process of detecting the uniformity of the material particles in the crusher after adjusting the rotation speed includes:

[0068] During the crushing process of the material by the crusher, multiple material images are obtained and integrated to obtain a material image group;

[0069] The material image is obtained by shooting with a high-resolution camera in the crushing chamber;

[0070] Based on any one of the material images, the material image is divided into a number of material sub-regions with equal area. The image is preprocessed by using image processing software (such as MATLAB, OpenCV, etc.), such as denoising, enhancing contrast, etc., and an image segmentation algorithm (such as threshold segmentation) is used to separate the material particles from the background, and the number of particles in each material sub-region is determined;

[0071] The process of separating the material particles from the background by using an image segmentation algorithm (such as edge detection) is as follows:

[0072] Select edge detection operators, including Canny, Sobel, Prewitt, Roberts, etc.;

[0073] Apply the edge detection operator, apply the selected edge detection operator to the preprocessed image to generate a binary image, where white pixels represent the detected edges and black pixels represent non-edge regions;

[0074] Dilation, the dilation operation can fill the holes left after edge detection and make the edges of the material particles more complete;

[0075] Erosion, the erosion operation can remove the small protrusions on the edges and make the edges smoother;

[0076] Contour extraction, using a contour extraction algorithm (such as an algorithm based on the Hough transform) to identify the contours of material particles;

[0077] Segmentation and marking, based on the extracted contours, separating the material particles from the background and assigning a unique identifier to each particle; this helps in subsequent counting, measuring, and analyzing of the material particles;

[0078] Integrate the number of particles in each material sub-region contained in the material image into a particle array;

[0079] Calculate the standard deviation and mean of the particle array, and perform a ratio process to obtain the uniformity coefficient of the particle array;

[0080] It can be understood that the ratio process of the standard deviation to the mean results in the coefficient of variation. The coefficient of variation and the standard deviation are usually used as indicators of the degree of dispersion. The degree of dispersion is an important indicator to measure the uniformity of particle distribution. Therefore, the uniformity coefficient (an indicator of material distribution uniformity) is calculated through the calculation method of the coefficient of variation;

[0081] In some embodiments, compare the uniformity coefficient of the particle array with a uniformity coefficient threshold;

[0082] If the uniformity coefficient of the particle array is greater than the uniformity coefficient threshold, it indicates that the material particles in the material image are unevenly distributed, and the material image is marked as a non-uniform material image;

[0083] If the uniformity coefficient of the particle array is less than or equal to the uniformity coefficient threshold, it indicates that the material particles in the material image are evenly distributed;

[0084] Statistically calculate the proportion of the number of non-uniform material images in the material image group;

[0085] Respectively perform a difference process on the uniformity coefficient corresponding to all non-uniform material images and the uniformity coefficient threshold and then take the mean to obtain the uniformity deviation. Perform a ratio process on the uniformity deviation and the uniformity coefficient threshold to obtain the uniformity deviation ratio;

[0086] Perform a product process on the proportion of the number of non-uniform material images in the material image group and the uniformity deviation ratio to obtain the uniformity performance value;

[0087] In some embodiments, compare the uniformity performance value with a uniformity performance threshold;

[0088] If the uniformity performance value is less than or equal to the uniformity performance threshold, it indicates that the number of times of uneven crushing and the degree of unevenness during the crushing process are low, and there is no need to optimize the material uniformity;

[0089] If the uniform performance value is greater than the uniform performance threshold, it indicates that the number of non-uniform crushing occurrences during the crushing process is large and the degree of non-uniformity is high, and optimization of material uniformity is required;

[0090] S4: If optimization of material uniformity is required, analyze the material uniformity of the crusher at different rotational speeds. If there is also a linear influence relationship between the rotational speed of the crusher and the material uniformity, determine the secondary rotational speed adjustment amount of the crusher according to the linear influence relationship, and conduct an analysis of the consistency of the adjustment direction with the primary rotational adjustment amount. If they are consistent, perform a secondary adjustment of the rotational speed of the crusher according to the secondary rotational speed adjustment amount;

[0091] The process of analyzing the material uniformity of the crusher at different rotational speeds in S4 includes:

[0092] Integrate the rotational speed data group and the uniformity data group based on the different rotational speeds of the crusher and the uniform performance values at different rotational speeds;

[0093] Calculate the Pearson correlation coefficient between the rotational speed data group and the uniformity data group using the Pearson correlation coefficient method, and take the absolute value to obtain the linear performance value;

[0094] Exemplarily, this application provides an exemplary description for determining whether there is a linear influence relationship between the rotational speed of the crusher and the material uniformity:

[0095] Assume that the existing rotational speed data group is: (zs1, zs2, zs3......zsn), where n represents the amount of rotational speed data;

[0096] The uniformity data group is: (jy1, jy2, jy3......jyn), where n represents the amount of uniform performance value data;

[0097] Calculate the Pearson correlation coefficient r, and the specific calculation formula is as follows:

[0098]

[0099] Where zsi represents the i-th rotational speed data in the rotational speed data group, and jyi represents the i-th uniform performance value in the uniformity data group; represents the average value of the rotational speed data group, represents the average value of the uniformity data group;

[0100] If the linear performance value is greater than or equal to the linear performance threshold, it indicates that there is a linear influence relationship between the rotational speed of the crusher and the material uniformity;

[0101] If the linear performance value is less than the linear performance threshold, it indicates that there is no linear influence relationship between the rotation rate of the crusher and the material uniformity;

[0102] The process of determining the secondary rotation rate adjustment amount of the crusher according to the linear influence relationship in S2 includes:

[0103] According to the rotation rate data group and the uniformity data group, construct a two-dimensional rectangular coordinate system with the rotation rate as the X-axis and the uniformity performance value as the Y-axis, and mark the uniformity performance value data points within the two-dimensional rectangular coordinate system, and draw a uniformity change curve;

[0104] Use the least squares method to fit the uniformity change curve, obtain a linear uniformity fitting straight line, obtain the equation function of the linear uniformity fitting straight line, and obtain a linear uniformity influence model:

[0105] jy = k2 * zs + b

[0106] Where k2 is the slope of the linear uniformity fitting straight line, b is the intercept, zs represents the rotation rate, and jy represents the uniformity performance value;

[0107] Perform a difference process on the uniformity performance value and the uniformity performance threshold to obtain a uniformity optimization value, input the uniformity optimization value into the linear uniformity influence model, and output to obtain the secondary rotation rate adjustment amount;

[0108] Compare the secondary rotation rate adjustment amount with the primary rotation rate adjustment amount;

[0109] If the positive and negative natures of the secondary rotation rate adjustment amount and the primary rotation rate adjustment amount are the same, it indicates that the adjustment directions of the secondary rotation rate adjustment amount and the primary rotation rate adjustment amount are consistent;

[0110] If the positive and negative natures of the secondary rotation rate adjustment amount and the primary rotation rate adjustment amount are opposite, it indicates that the adjustment directions of the secondary rotation rate adjustment amount and the primary rotation rate adjustment amount are inconsistent;

[0111] It should be noted that the same positive and negative nature means that the secondary rotation rate adjustment amount and the primary rotation rate adjustment amount are both positive or both negative, otherwise, it means that the positive and negative natures are opposite;

[0112] If the adjustment directions of the secondary rotation rate adjustment amount and the primary rotation rate adjustment amount are consistent, then readjust the rotation rate of the crusher according to the secondary rotation rate adjustment amount;

[0113] It is understandable that if the positive / negative nature of the secondary rotation rate adjustment amount is the same as that of the primary rotation rate adjustment amount, the reason for readjusting the rotation rate of the crusher according to the secondary rotation rate adjustment amount is as follows: The primary rotation rate adjustment amount is calculated based on the optimized amount of particle percentage. By adjusting according to the primary rotation rate adjustment amount, the particle percentage corresponding to the lower particle diameter range can be limited at the threshold qualification. Since the adjustment directions of the secondary rotation rate adjustment amount and the primary rotation rate adjustment amount are the same, if the rotation rate of the crusher is continuously adjusted according to the secondary rotation rate adjustment amount, due to the linear influence relationship between the rotation rate and the particle percentage, the particle percentage corresponding to the lower particle diameter range will be lower than the threshold qualification (the particle percentage corresponding to the lower particle diameter range decreases, but it is still qualified).

[0114] The technical solution of the embodiment of the present invention is as follows: Detect the uniformity of the material particles in the crusher after adjusting the rotation rate, and determine whether it is necessary to optimize the material uniformity. If it is necessary to optimize the material uniformity, analyze and process the material uniformity of the crusher at different rotation rates. If there is also a linear influence relationship between the rotation rate of the crusher and the material uniformity, determine the secondary rotation rate adjustment amount of the crusher according to the linear influence relationship, and analyze the consistency of the adjustment directions with the primary rotation adjustment amount. If they are consistent, perform a secondary adjustment of the rotation rate of the crusher according to the secondary rotation rate adjustment amount. Based on the primary adjustment of the rotation rate of the crusher, the present invention also analyzes the influence relationship between the rotation rate and the material uniformity, determines the secondary rotation rate adjustment amount, and analyzes the direction consistency of the primary adjustment and the secondary adjustment to determine whether the secondary adjustment can be performed. Through the primary adjustment and the secondary adjustment of the rotation rate, the present invention not only reduces the percentage of unqualified material particles during raw coal crushing but also ensures the uniformity of the feeding during material crushing, further improving the quality of raw coal crushing.

[0115] Example 3

[0116] Please refer to Figure 2 as shown. A raw coal crushing system for industrial gas production described in the embodiment of the present invention includes:

[0117] Particle size analysis module: Based on the constructed particle size distribution curve of the material after raw coal crushing, extract the particle percentage of the material corresponding to the lower particle diameter range, and judge the optimization requirement of raw coal crushing;

[0118] Primary adjustment module: If the optimization requirement of raw coal crushing is high, analyze and process the particle percentage of the material corresponding to the lower particle diameter range of the crusher at different rotation rates, and judge whether there is a linear influence relationship between the rotation rate of the crusher and the particle percentage of the material corresponding to the lower particle diameter range. If there is, determine the primary rotation rate adjustment amount of the crusher according to the linear influence relationship, and adjust the rotation rate of the crusher;

[0119] Uniformity analysis module: Detect the uniformity of material particles in the crusher after adjusting the rotation speed, and determine whether it is necessary to optimize the material uniformity.

[0120] Secondary adjustment module: If it is necessary to optimize the material uniformity, analyze the material uniformity of the crusher at different rotation speeds. If there is also a linear influence relationship between the rotation speed of the crusher and the material uniformity, determine the secondary rotation speed adjustment amount of the crusher according to the linear influence relationship, and conduct an analysis of the consistency of the adjustment direction with the primary rotation adjustment amount. If they are consistent, perform a secondary adjustment of the rotation speed of the crusher according to the secondary rotation speed adjustment amount.

[0121] The above shows and describes the basic principles, main features and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited by the above embodiments. What is described in the above embodiments and the specification only illustrates the principles of the present invention. Without departing from the spirit and scope of the present invention, the present invention will have various changes and improvements, and these changes and improvements all fall within the scope of the present invention claimed. The scope of protection claimed by the present invention is defined by the appended claims and their equivalents.

Claims

1. A method for pulverizing raw coal for industrial gas production, characterized in that: Including: S1: Extract the particle percentage of the material corresponding to the low particle size range, and judge the optimization requirement of raw coal crushing; S2: If the optimization requirement of raw coal crushing is high, judge whether there is a linear influence relationship between the rotation speed of the crusher and the particle percentage of the material corresponding to the low particle size range. If so, determine the primary rotation speed adjustment amount of the crusher according to the linear influence relationship, and adjust the rotation speed of the crusher; S3: Detect the particle uniformity of the material in the crusher after adjusting the rotation speed, and judge whether the optimization of material uniformity is required; S4: If the optimization of material uniformity is required, judge whether there is also a linear influence relationship between the rotation speed of the crusher and the material uniformity. If so, determine the secondary rotation speed adjustment amount of the crusher according to the linear influence relationship, and analyze the consistency of the adjustment direction with the primary rotation adjustment amount. If they are consistent, perform a secondary adjustment of the rotation speed of the crusher according to the secondary rotation speed adjustment amount.

2. The raw coal crushing method for industrial gas production according to claim 1, wherein: Construct a particle size distribution curve according to the particle percentage. In the particle size distribution curve, mark the particle size distribution range outside the normal particle size range as the low particle size range.

3. The raw coal crushing method for industrial gas production according to claim 2, wherein: Extract the percentage corresponding to the boundary of the low particle size range according to the particle size distribution curve, and perform a difference calculation to obtain the particle percentage corresponding to the low particle size range; If the particle percentage is greater than the preset threshold, it indicates that the optimization requirement of raw coal crushing is high.

4. The raw coal crushing method for industrial gas production according to claim 1, wherein: Obtain different rotation speeds of the crusher and the particle percentages of the materials corresponding to the low particle size range at different rotation speeds, integrate them to obtain a rotation speed data group and a particle percentage data group, calculate the Pearson correlation coefficient between the rotation speed data group and the particle percentage data group, and take the absolute value to obtain a linear relationship value; If the linear relationship value is greater than or equal to the linear relationship threshold, it indicates that there is a linear influence relationship between the rotation speed of the crusher and the particle percentage of the material corresponding to the low particle size range.

5. The raw coal crushing method for industrial gas production according to claim 4, wherein: Draw a particle percentage change curve according to the rotation speed data group and the particle percentage data group; Use the least squares method to fit the particle percentage change curve to obtain a linear fitting straight line, and use the equation function of the linear fitting straight line as the linear influence model; Perform a difference process on the particle percentage and the preset threshold to obtain a particle percentage optimization amount, input the particle percentage optimization amount into the linear influence model, and output to obtain the primary rotation speed adjustment amount.

6. The raw coal crushing method for industrial gas production according to claim 1, wherein: Obtain multiple material images, use an image segmentation algorithm to determine the number of particles in the material sub-region in the material image, integrate them into a particle array, calculate the standard deviation and mean of the particle array, and perform a ratio process to obtain a uniformity coefficient; Mark the material images with a uniformity coefficient greater than the uniformity coefficient threshold as non-uniform material images, and count the proportion of the number of non-uniform material images in the group of material images; After performing a difference operation between the uniformity coefficients corresponding to all non-uniform material images and the uniformity coefficient threshold and then taking the average value, obtain the uniformity deviation, and perform a ratio operation with the uniformity coefficient threshold to obtain the uniformity deviation ratio; Perform a multiplication operation on the proportion of the number of non-uniform material images in the group of material images and the uniformity deviation ratio to obtain the uniformity performance value; If the uniformity performance value is greater than the uniformity performance threshold, it indicates that optimization of material uniformity is required.

7. The raw coal crushing method for industrial gas production according to claim 1, wherein: Obtain different rotation rates of the crusher and the uniformity performance values at different rotation rates, and integrate them to obtain a rotation rate data group and a uniformity data group; Calculate the Pearson correlation coefficient between the rotation rate data group and the uniformity data group, and take the absolute value to obtain the linear performance value; If the linear performance value is greater than or equal to the linear performance threshold, it indicates that there is a linear influence relationship between the rotation rate of the crusher and the material uniformity.

8. The raw coal crushing method for industrial gas production according to claim 7, wherein: Draw a uniformity change curve based on the rotation rate data group and the uniformity data group; Use the least squares method to fit the uniformity change curve to obtain a linear uniformity fitting straight line, obtain the equation function of the linear uniformity fitting straight line, and obtain a linear uniformity influence model; Perform a difference operation between the uniformity performance value and the uniformity performance threshold to obtain a uniformity optimization value, input the uniformity optimization value into the linear uniformity influence model, and output to obtain a secondary rotation rate adjustment amount.

9. The raw coal crushing method for industrial gas production according to claim 1, wherein: If the positive and negative of the secondary rotation rate adjustment amount are the same as those of the primary rotation rate adjustment amount, it indicates that the adjustment directions of the secondary rotation rate adjustment amount and the primary rotation rate adjustment amount are consistent.

10. A raw coal crushing system for industrial gas production, characterized in that: Including: Particle size analysis module: Extract the particle percentage of the material corresponding to the low particle size range and judge the optimization requirement of raw coal crushing; Primary adjustment module: If the optimization requirement of raw coal crushing is high, judge whether there is a linear influence relationship between the rotation rate of the crusher and the particle percentage of the material corresponding to the low particle size range. If so, determine the primary rotation rate adjustment amount of the crusher according to the linear influence relationship and adjust the rotation rate of the crusher; Uniformity analysis module: Detect the particle uniformity of the material in the crusher after adjusting the rotation rate and judge whether optimization of material uniformity is required; Secondary adjustment module: If optimization of material uniformity is required, judge whether there is also a linear influence relationship between the rotation rate of the crusher and the material uniformity. If so, determine the secondary rotation rate adjustment amount of the crusher according to the linear influence relationship and perform an analysis of the consistency of the adjustment direction with the primary rotation adjustment amount. If they are consistent, perform a secondary adjustment of the rotation rate of the crusher according to the secondary rotation rate adjustment amount.

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