An optimized management system for data analysis of alternative fuels

Abstract

The present invention discloses a data analysis and optimization management system for alternative fuels, which relates to the technical field of alternative fuel crushing, and includes an optimal crushing duration acquisition module, a crushing operation duration calculation formula acquisition module, a crushing operation duration acquisition module, and a control module; by accurately calculating and controlling the optimal crushing duration of each alternative fuel, it ensures that the crushing process is carried out under optimal conditions, thereby improving the overall crushing efficiency, avoiding resource waste caused by improper crushing duration, helping to reduce energy consumption and improve resource utilization rate. The accurately controlled crushing duration helps to ensure the quality of the fuel after crushing, provides an effective solution for the efficient and energy-saving crushing of alternative fuels, and is of great significance for improving the processing efficiency and quality of alternative fuels.

Description

Technical Field

[0001] The present invention relates to the technical field of alternative fuel crushing, and particularly to a data analysis and optimization management system for alternative fuels. Background Art

[0002] Alternative fuels contain a considerable amount of compounds such as alkali chlorine, alkali sulfur, and phosphorus that affect cement production, increasing the alkali-chlorine-sulfur cycle during the production process and to a certain extent affecting the output and quality of clinker. Driven by the national "dual carbon" goal, it has become one of the best alternative fuels for fossil fuels to reduce carbon emissions, contribute to "dual carbon", and is applied to industrial facilities such as cement plants to achieve the goals of energy conservation, emission reduction, and improved energy efficiency.

[0003] When preprocessing alternative fuels, a three-axis crusher is required to perform screening and crushing operations on various alternative fuels. After the three-axis crusher performs the crushing operation, the crushed alternative fuels are screened by a disk screen through a magnetic separator, and the alternative fuels that do not meet the crushing standards are screened out, so that the alternative fuels that do not meet the crushing standards are placed on the disk screen, simply referred to as oversize materials;

[0004] However, when the three-axis crusher performs crushing operations on various alternative fuels, due to the different types of alternative fuels and the different weights of alternative fuels that need to be crushed each time, the required crushing operation duration is different. When performing crushing operations on different alternative fuels, it is impossible to select the optimal crushing operation duration according to the different types and weights of alternative fuels that need to be crushed, resulting in the inability to control the weight and quality of oversize materials, and causing improper operation of the equipment due to improper crushing duration (too short or too long), resulting in additional energy consumption and waste of resources, and even causing repeated crushing operations on alternative fuels, affecting the crushing rate and crushing effect of alternative fuels, and affecting the crushing rate of alternative fuels. Based on this, a data analysis and optimization management system for alternative fuels is proposed. Summary of the Invention

[0005] The purpose of the present invention is to provide a data analysis and optimization management system for alternative fuels, which solves the technical problem that it is impossible to select the optimal crushing operation duration according to the different types and weights of alternative fuels that need to be crushed, resulting in the crushing rate and crushing effect of alternative fuels being affected due to improper crushing duration, and affecting the crushing rate of alternative fuels.

[0006] The purpose of the present invention can be achieved by the following technical solutions:

[0007] A data analysis and optimization management system for alternative fuels, comprising:

[0008] Optimal crushing duration acquisition module, which analyzes the weights of oversize materials corresponding to various alternative fuel groups with different weights at different crushing durations, and obtains the optimal crushing durations corresponding to various alternative fuel groups with different weights;

[0009] Crushing operation duration calculation formula acquisition module, which analyzes the optimal crushing durations corresponding to various fuels at different preset weights, and obtains the crushing operation duration calculation formulas corresponding to various fuels;

[0010] Crushing operation duration acquisition module, which obtains the type of the alternative fuel to be processed, substitutes the single crushing weight of the alternative fuel to be processed into the crushing operation duration calculation formula corresponding to the type of the alternative fuel to be processed, calculates the crushing operation duration required for the alternative fuel to be processed, and outputs it to the control module;

[0011] Control module, which controls the specific crushing duration of the alternative fuel to be processed according to the specific value of the obtained crushing operation duration.

[0012] As a further solution of the present invention: The specific method for obtaining the optimal crushing durations corresponding to various alternative fuel groups with different weights is as follows:

[0013] S1: Arbitrarily select one type from various alternative fuels as the target type of fuel;

[0014] S2: Obtain the weights of oversize materials Wa corresponding to the target type of fuel with the same preset weight Z1 at different crushing durations Ta. Define the ratio between the absolute value of the difference between the preset weight Z1 of the target type of fuel and the weights of oversize materials corresponding to it at different crushing durations and the preset weight Z1 as the crushing coefficient Xa corresponding to the target type of fuel at different crushing durations, where a represents the number of different crushing durations corresponding to it, a is a positive integer, and a≥1, and Z1 is a preset value;

[0015] Place the different crushing durations of the target type of fuel and the crushing coefficients Xa corresponding to them at different crushing durations in a two-dimensional column coordinate system. Sort the different crushing durations Ta in ascending order according to their corresponding values. Use the sorted different crushing durations Ta as the abscissa of the two-dimensional coordinate system, and at the same time use the crushing coefficients Xa corresponding to different crushing durations as the ordinate of the two-dimensional coordinate system. Then obtain the crushing data points TXa(Ta, Xa) corresponding to the target type of fuel at different crushing durations. Connect each crushing data point in sequence to draw the crushing coefficient curve corresponding to the target type of fuel. Define the line segment between every two adjacent crushing data points as the stage crushing curve, and calculate the stage slope Ki corresponding to each stage crushing curve, where i represents the number of stage crushing curves, i is a positive integer, and i = a - 1;

[0016] S3: Analyze the stage slopes Ki corresponding to the crushing curves of each stage respectively to obtain the optimal crushing duration corresponding to the target type of fuel at the preset weight Z1;

[0017] S4: Repeat the above steps S2 - S3, and the optimal crushing durations Je corresponding to the target type of fuel at each different preset weight Ze can be obtained, where e represents the number of different preset weights, e is a positive integer, and e ≥ 1, b represents the number of different preset weights, and b ≥ 1;

[0018] S5: Repeat the above steps S1 - S4, and the optimal crushing durations corresponding to various types of alternative fuels at each different preset weight can be obtained.

[0019] As a further solution of the present invention: The specific method for obtaining the stage slopes corresponding to the crushing curves of each stage is as follows:

[0020] Define the crushing data point closer to the origin of the two - dimensional coordinate system among the two crushing data points of the stage crushing curve as the starting - end point, and the one farther from the origin of the two - dimensional coordinate system as the ending - end point. Mark the coordinates of the starting - end point and the ending - end point corresponding to each stage crushing curve as DAi(Ax i, Ay i) and DB i(Bx i, By i) respectively. According to the coordinates of the starting - end point and the ending - end point corresponding to each stage crushing curve, through the formula: Ki = (By i - Ay i) / (Bx i - Ax i), calculate the stage slope Ki corresponding to each stage crushing curve.

[0021] As a further solution of the present invention: The specific method for obtaining the optimal crushing duration corresponding to the target type of fuel at the preset weight is as follows:

[0022] Among the stage slopes Ki corresponding to the crushing curves of each stage, obtain the stage crushing curve corresponding to the maximum value of the stage slope Ki, and use it as the peak - stage crushing curve. Compare the stage slopes corresponding to the stage crushing curves after the peak - stage crushing curve with the limit value Q1 in turn until the stage slope is less than the limit value Q1 and then stop the comparison, and obtain the coordinates of the starting - end point of the stage crushing curve corresponding to the stage slope less than the limit value Q1. Define the crushing duration corresponding to the abscissa of the starting - end point as the optimal crushing duration J1 corresponding to the target type of fuel at the preset weight Z1.

[0023] As a further solution of the present invention: The specific method for obtaining the calculation formula of the crushing operation duration corresponding to each type of fuel is as follows:

[0024] S01: Select the same type of alternative fuel as the target type of fuel in step S1 from various alternative fuels;

[0025] Place the different preset weights Ze of the target-class fuel and the corresponding best crushing durations Je at different preset weights Ze in a two-dimensional cylindrical coordinate system to generate multiple nodes Re, and the node coordinates are Re(Ze, Je);

[0026] S02: According to the node coordinates Re(Ze, Je) corresponding to each node on the crushing duration change curve, obtain the data change coefficient Hh between every two adjacent nodes on the crushing duration change curve, summarize the quantities corresponding to the positive and negative values in the data change coefficient Hh respectively and analyze them, and then obtain the calculation formula for the crushing operation duration of the target-class fuel;

[0027] S03: Repeat the above steps S01 - S02 to obtain the calculation formulas for the crushing operation durations corresponding to various alternative fuels respectively.

[0028] As a further solution of the present invention: The specific way to obtain the data change coefficient between every two adjacent nodes on the crushing duration change curve is:

[0029] Obtain the data change coefficient Hh between every two adjacent nodes on the crushing duration change curve through Hh = [Je - J(e - 1)] / [Ze - Z(e - 1)], where h is the number of data change coefficients, and h = e - 1.

[0030] As a further solution of the present invention: The specific way to obtain the calculation formula for the crushing operation duration of the target-class fuel is:

[0031] Summarize the quantities corresponding to the positive and negative values in the data change coefficient Hh respectively, and mark them as +N and -N. When both +N and -N are 0, it means that the best crushing duration of the target-class fuel does not change with the weight of the target-class fuel and is a constant value. Then, take the best crushing duration J1 corresponding to the target-class fuel at the preset weight Z1 as the crushing operation duration K1 of the target-class fuel, and then obtain the calculation formula for the crushing operation duration of the target-class fuel: K1 = J1 + BZ × 0, where BZ is the weight of the target-class fuel that needs to be crushed once, and it is obtained through an actual metering device;

[0032] When one of +N and -N is 0, substitute the node coordinates Re(Ze, Je) on the crushing duration change curve into the preset linear function: Je = m1 × Ze + m2, where m1 and m2 are the unknown parameter and the unknown slope and intercept values respectively, obtain the specific values θ1 and β1 of m1 and m2, and substitute them into the preset linear function: Je = m1 × Ze + m2, and then obtain the calculation formula for the crushing operation duration of the target-class fuel: K1 = θ1 × BZ + β1;

[0033] When both +N and -N are not zero, the respective node coordinates Re(Ze, Je) on the crushing duration change curve are successively substituted into the preset fitting function: Je = m3×Ze 2 + m4×Ze + m5. After solving the preset fitting function equation, the specific values θ2, θ3, and β2 of m3, m4, and m5 are obtained, and they are substituted into the preset fitting function: Je = m3×Ze 2 + m4×Ze + m5, thereby obtaining the calculation formula for the crushing operation duration of the target type of fuel: K1 = θ2×BZ 2 + θ3×BZ + β2.

[0034] As a further solution of the present invention: The specific method for obtaining the crushing operation duration required for the alternative fuel to be processed is as follows:

[0035] When a crushing operation needs to be performed on the alternative fuel to be processed, the type of the alternative fuel to be processed is obtained, and the single - time crushing weight of the alternative fuel to be processed is used as the value of BZ and substituted into the calculation formula for the crushing operation duration corresponding to the type of the alternative fuel to be processed. Then, the crushing operation duration required for the alternative fuel to be processed is calculated and output to the control module.

[0036] Advantages of the present invention:

[0037] In the present invention, through the precise calculation and control of the optimal crushing duration for each alternative fuel, it is ensured that the crushing process is carried out under optimal conditions, thereby improving the overall crushing efficiency, avoiding resource waste caused by inappropriate crushing duration (too short or too long), contributing to reducing energy consumption and increasing resource utilization rate. The precisely controlled crushing duration helps to ensure the quality of the crushed fuel, meet the required standards for subsequent use or treatment, enables the processing of different types of alternative fuels, and can adjust the crushing strategy according to actual needs, showing strong adaptability and flexibility. It provides an effective solution for the efficient and energy - saving crushing of alternative fuels and is of great significance for improving the processing efficiency and quality of alternative fuels. Brief Description of the Drawings

[0038] The present invention will be further described below with reference to the drawings.

[0039] Figure 1 is a schematic diagram of the system framework structure of the present invention;

[0040] Figure 2 is a schematic diagram of the working process structure of the three - axis crusher of the present invention;

[0041] Figure 3 is an analysis flowchart of the number of positive and negative values in the variation coefficient of the present invention. Detailed Embodiments

[0042] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0043] Embodiment 1

[0044] Please refer to Figures 1 - 3 As shown, the present invention is a data analysis and optimization management system for alternative fuels, including;

[0045] An optimal crushing duration acquisition module, which is used to perform crushing operations on various alternative fuels with different weights at different crushing durations, analyze the weights of the oversize materials corresponding to each group of alternative fuels with different weights at different crushing durations, and obtain the optimal crushing duration corresponding to each group of alternative fuels with different weights. The specific method is as follows:

[0046] S1: Arbitrarily select one type from various alternative fuels as the target type of fuel;

[0047] S2: Obtain the weights of the oversize materials corresponding to the target type of fuel with the same preset weight Z1 at different crushing durations Ta, and mark them as Wa, where a represents the number of different crushing durations corresponding thereto, a is a positive integer, and a ≥ 1, Z1 is a preset value, and the specific value is determined by relevant personnel according to actual requirements;

[0048] By Ba = |Z1 - Wa|, obtain the absolute value Ba of the difference between the preset weight Z1 of the target type of fuel and the weights of the oversize materials corresponding to it at different crushing durations, and the ratio between the absolute value Ba of the difference and the preset weight Z1, and define it as the crushing coefficient Xa corresponding to the target type of fuel at different crushing durations, that is, Xa = Ba / Z1;

[0049] Place the different crushing durations of the target type of fuel and the crushing coefficients Xa corresponding to them at different crushing durations in a two-dimensional column coordinate system, sort the different crushing durations Ta in ascending order according to the corresponding values, use the sorted different crushing durations Ta as the abscissa of the two-dimensional coordinate system, and at the same time use the crushing coefficients Xa corresponding to the different crushing durations as the ordinate of the two-dimensional coordinate system, and then obtain the crushing data points TXa(Ta, Xa) corresponding to the target type of fuel at different crushing durations, and connect each crushing data point in sequence to draw and generate the crushing coefficient curve corresponding to the target type of fuel;

[0050] Define the line segment between every two adjacent broken data points as the stage broken curve. It should be noted that among the two broken data points of the stage broken curve, the one closer to the origin of the two-dimensional coordinate system is defined as the starting endpoint, and the one farther from the origin of the two-dimensional coordinate system is defined as the ending endpoint;

[0051] Mark the starting endpoint coordinates and ending endpoint coordinates corresponding to each stage broken curve as DA i(Ax i,Ay i) and DB i(Bx i,By i) respectively. According to the coordinates of the starting endpoint and ending endpoint corresponding to each stage broken curve, through the formula: K i=(By i - Ay i) / (Bx i - Ax i), calculate the stage slope Ki corresponding to each stage broken curve, where i represents the number of stage broken curves, i is a positive integer, and i = a - 1;

[0052] S3: Among the stage slopes Ki corresponding to each stage broken curve, obtain the stage broken curve corresponding to the maximum stage slope Ki, and take it as the peak stage broken curve. Compare the stage slopes corresponding to each stage broken curve after the peak stage broken curve with the limit value Q1 in turn until the stage slope is less than the limit value Q1, then stop the comparison, and obtain the starting endpoint coordinates of the stage broken curve corresponding to the stage slope less than the limit value Q1. Define the broken duration corresponding to the starting endpoint abscissa as the optimal broken duration J1 of the target type of fuel under the preset weight Z1. The specific value of the limit value Q1 is determined by relevant personnel according to actual requirements;

[0053] S4: Repeat the above steps S2 - S3, and the optimal broken duration Je corresponding to the target type of fuel under each different preset weight Ze can be obtained, where e represents the number of different preset weights, e is a positive integer, and e≥1, b represents the number of different preset weights, and b≥1;

[0054] S5: Repeat the above steps S1 - S4, and the optimal broken duration corresponding to each type of alternative fuel under each different preset weight can be obtained;

[0055] By calculating the absolute value of the difference and its ratio between the preset weight and the weight of the oversize material, that is, the breaking coefficient, and drawing a breaking coefficient curve in the two-dimensional coordinate system, and analyzing the stage slope to determine the optimal breaking duration, this method can ensure that each type of alternative fuel can be processed under its optimal breaking duration, so as to achieve the purpose of energy conservation, emission reduction and efficiency improvement.

[0056] Example 2

[0057] As the second embodiment of the present invention, when the present application is specifically implemented, compared with the first embodiment, the technical solution of this embodiment is only different from that of the first embodiment in that this embodiment further includes a crushing operation duration calculation formula acquisition module, a crushing operation duration acquisition module, and a control module;

[0058] The crushing operation duration calculation formula acquisition module draws the best crushing curves corresponding to various fuels according to the best crushing durations corresponding to various fuels at different preset weights respectively, and simultaneously analyzes and obtains the crushing operation duration calculation formulas corresponding to various fuels respectively. The specific method is as follows:

[0059] S01: Select the same type of alternative fuel as the target fuel from various alternative fuels as the target fuel in step S1;

[0060] Place the various different preset weights Ze of the target fuel and the best crushing durations Je corresponding to the various different preset weights Ze respectively in a two-dimensional column coordinate system, sort the various different preset weights Ze in ascending order, and use the various different preset weights Ze as the abscissa, and use the best crushing durations Je corresponding to the target fuel at the various different preset weights Ze as the ordinate, thereby generating multiple nodes Re, and the node coordinates are Re(Ze, Je);

[0061] S02: According to the node coordinates Re(Ze, Je) corresponding to each node on the crushing duration change curve, obtain the data change coefficient between every two adjacent nodes on the crushing duration change curve. Through Hh = [Je - J(e - 1)] / [Ze - Z(e - 1)], obtain the data change coefficient between every two adjacent nodes on the crushing duration change curve, where h is the number of data change coefficients, h = e - 1; summarize the quantities corresponding to the positive and negative values in the data change coefficients Hh respectively, and mark them as +N and -N respectively. When both +N and -N are 0, it means that the best crushing duration of the target fuel does not change with the weight of the target fuel and is a constant value. Then, use the best crushing duration J1 corresponding to the target fuel at the preset weight Z1 as the crushing operation duration K1 of the target fuel, and further obtain the crushing operation duration calculation formula of the target fuel: K1 = J1 + BZ × 0, where BZ is the weight that the target fuel needs to be crushed once, and it is obtained through an actual metering device;

[0062] When one of +N and -N is 0, substitute the node coordinates Re(Ze, Je) on the crushing duration change curve into the preset linear function: Je = m1 × Ze + m2 in turn, where m1 and m2 are unknown parameters and unknown slope and intercept values respectively;

[0063] Obtain the specific values θ1 and β1 of m1 and m2, substitute them into the preset linear function: Je = m1×Ze + m2, and then obtain the calculation formula for the crushing operation duration of the target type of fuel: K1 = θ1×BZ + β1;

[0064] When both +N and -N are not zero, then substitute the respective node coordinates Re(Ze, Je) on the crushing duration change curve into the preset fitting function: Je = m3×Ze 2 + m4×Ze + m5;

[0065] After solving the preset fitting function equation, obtain the specific values θ2, θ3, and β2 of m3, m4, and m5, and substitute them into the preset fitting function: Je = m3×Ze 2 + m4×Ze + m5, and then obtain the calculation formula for the crushing operation duration of the target type of fuel: K1 = θ2×BZ 2 + θ3×BZ + β2;

[0066] S03: Repeat the above steps S01 - S02 to obtain the calculation formulas for the crushing operation durations corresponding to various alternative fuels;

[0067] The crushing operation duration acquisition module, when it is necessary to perform a crushing operation on the alternative fuel to be processed, obtains the type of the alternative fuel to be processed, takes the single - time crushing weight of the alternative fuel to be processed as the value of BZ, substitutes it into the calculation formula for the crushing operation duration corresponding to the type of the alternative fuel to be processed, and then calculates and obtains the required crushing operation duration KT of the alternative fuel to be processed, and outputs it to the control module;

[0068] The control module controls the specific crushing duration of the alternative fuel to be processed according to the specific value of the obtained crushing operation duration KT;

[0069] So that the three - axis crusher can obtain the specific crushing duration according to the type and single - time crushing weight of the alternative fuel to be processed, realize the precise crushing operation of the alternative fuel, avoid incomplete crushing due to too short crushing duration and waste of crushing resources due to too long crushing duration, and further improve the crushing efficiency of the alternative fuel;

[0070] Based on determining the optimal crushing duration for various alternative fuels, further analyze and establish a calculation formula for the crushing operation duration. According to the different preset weights of the fuels and their corresponding optimal crushing durations, use a linear or fitting function model to calculate the crushing operation duration, so as to achieve accurate prediction and control of the crushing operation time. According to the type and single-time crushing weight of the alternative fuel to be processed, use the previously obtained crushing operation duration calculation formula to predict the specific crushing duration required, and precisely control the actual crushing duration of the fuel to be processed through the control module. This not only avoids the problems of incomplete crushing or over-crushing, but also greatly improves the crushing efficiency and resource utilization rate;

[0071] Through the accurate calculation and control of the optimal crushing duration for each alternative fuel, it ensures that the crushing process is carried out under optimal conditions, thereby improving the overall crushing efficiency, avoiding resource waste caused by improper crushing duration (too short or too long), contributing to reducing energy consumption and increasing resource utilization rate. The precisely controlled crushing duration helps to ensure the quality of the crushed fuel, meet the required standards for subsequent use or processing, enables the processing of different types of alternative fuels, and adjusts the crushing strategy according to actual needs, showing strong adaptability and flexibility. It provides an effective solution for the efficient and energy-saving crushing of alternative fuels and is of great significance for improving the processing efficiency and quality of alternative fuels;

[0072] Embodiment III

[0073] As Embodiment III of the present invention, when this application is specifically implemented, compared with Embodiment I and Embodiment II, the technical solution of this embodiment lies in combining and implementing the solutions of the above-mentioned Embodiment I and Embodiment II.

[0074] The above formulas are all calculated by taking the numerical values after dimensionless. The formula is obtained by collecting a large amount of data for software simulation to get a formula closest to the real situation. The preset parameters and threshold selection in the formula are set by those skilled in the art according to the actual situation.

[0075] The above is only the specific implementation manner of this application, but the protection scope of this application is not limited thereto. Any person skilled in the art within the technical scope disclosed by this application can easily think of changes or substitutions, which should all be covered within the protection scope of this application. Therefore, the protection scope of this application should be subject to the protection scope of the claims.

Claims

1. A data analysis and optimization management system for alternative fuels, characterized in that: include: The optimal crushing time acquisition module analyzes the weight of the oversize corresponding to each alternative fuel group with different weights at different crushing times, and obtains the optimal crushing time corresponding to each alternative fuel group with different weights; A crushing operation time calculation formula acquisition module analyzes the optimal crushing time corresponding to each type of fuel under different preset weights and obtains the crushing operation time calculation formula corresponding to each type of fuel; A crushing operation time acquisition module obtains the type of the alternative fuel to be processed, substitutes the single crushing weight of the alternative fuel to be processed into the crushing operation time calculation formula corresponding to the type of the alternative fuel to be processed, calculates the crushing operation time required for the alternative fuel to be processed, and outputs it to the control module; A control module controls the specific crushing time of the alternative fuel to be processed according to the specific value of the crushing operation time obtained; The specific method for obtaining the optimal crushing time corresponding to each type of alternative fuel group with different weights is: S1: Randomly select one type of alternative fuel as the target fuel; S2: Obtain the weight Wa of the oversize material corresponding to the target fuel with the same preset weight Z1 under different crushing times Ta, and define the crushing coefficient Xa corresponding to the target fuel under different crushing times as the ratio of the absolute value of the difference between the preset weight Z1 of the target fuel and the weight of the oversize material corresponding to the different crushing times and the preset weight Z1, where a refers to the number of the corresponding different crushing times, a is a positive integer, and a≥1, and Z1 is a preset value; The different crushing times of the target fuel and the crushing coefficients Xa corresponding to the different crushing times are placed in a two-dimensional cylindrical coordinate system, and the different crushing times Ta are sorted from small to large according to the corresponding values. According to the sorting of the different crushing times Ta, they are used as the horizontal coordinates of the two-dimensional coordinate system, and the crushing coefficients Xa corresponding to the different crushing times are used as the vertical coordinates of the two-dimensional coordinate system, so as to obtain the crushing data points TXa (Ta, Xa) corresponding to the target fuel at different crushing times, and connect each crushing data point in turn to draw a crushing coefficient curve corresponding to the target fuel, define the line segment between each two adjacent crushing data points as a stage crushing curve, and calculate the stage slope Ki corresponding to each stage crushing curve, where i refers to the number of stage crushing curves, i is a positive integer, and i=a-1; S3: Analyze the stage slope Ki corresponding to each stage crushing curve to obtain the optimal crushing time corresponding to the target type of fuel under the preset weight Z1; S4: Repeat S2-S3 to obtain the optimal crushing time Je corresponding to the target fuel under different preset weights Ze, where e refers to the number of different preset weights, e is a positive integer, and e≥1, and b refers to the number of different preset weights, and b≥1; S5: Repeat S1-S4 to obtain the optimal crushing time corresponding to each type of alternative fuel under different preset weights.

2. The data analysis and optimization management system for alternative fuels according to claim 1, characterized in that: The specific method of obtaining the stage slopes corresponding to the crushing curves of each stage is: The two broken data points of the stage broken curve that are close to the origin of the two-dimensional coordinate system are defined as the head endpoint, and the point far from the origin of the two-dimensional coordinate system is defined as the terminal endpoint. The coordinates of the head endpoint and the terminal endpoint corresponding to the broken curve of each stage are marked as DAi (Axi, Ayi) and DBi (Bxi, Byi), respectively. According to the coordinates of the head endpoint and the terminal endpoint corresponding to the broken curve of each stage, the stage slope Ki corresponding to the broken curve of each stage is calculated by the formula: Ki = (Byi-Ayi) / (Bxi-Axi).

3. The data analysis and optimization management system for alternative fuels according to claim 2, characterized in that: The specific method for obtaining the optimal crushing time corresponding to the target type of fuel under the preset weight is: The stage crushing curve corresponding to the maximum value of the stage slope Ki among the stage slopes Ki corresponding to each stage crushing curve is obtained, and it is used as the peak stage crushing curve, and the stage slopes corresponding to each stage crushing curve after the peak stage crushing curve are compared with the limit value Q1 in turn, and the comparison is stopped until the stage slope is less than the limit value Q1, and the coordinates of the first end endpoint of the stage crushing curve corresponding to the stage slope less than the limit value Q1 are obtained, and the crushing time corresponding to the horizontal coordinate of the first end endpoint is defined as the optimal crushing time J1 corresponding to the target type fuel under the preset weight Z1.

4. The data analysis and optimization management system for alternative fuels according to claim 2, characterized in that: The specific calculation formulas for the crushing operation duration corresponding to each type of fuel are as follows: S01: From various types of alternative fuels, select the same type of alternative fuel as that in step S1 as a target type fuel; Place different preset weights Ze of the target fuel and the optimal crushing time Je corresponding to each different preset weight Ze in a two-dimensional cylindrical coordinate system to generate multiple nodes Re, with the node coordinates being Re (Ze, Je); S02: According to the node coordinates Re (Ze, Je) corresponding to each node on the crushing time change curve, the data change coefficient Hh between each two adjacent nodes on the crushing time change curve is obtained, and the numbers corresponding to the positive and negative values ​​in the data change coefficient Hh are summarized and analyzed, so as to obtain the crushing operation time calculation formula of the target fuel; S03: Repeat S01-S02 to obtain the calculation formulas for the crushing operation time corresponding to each type of alternative fuel.

5. The data analysis and optimization management system for alternative fuels according to claim 4, characterized in that: The specific method of obtaining the data change coefficient between each two adjacent nodes on the breakup duration change curve is: The data variation coefficient Hh between every two adjacent nodes on the fragmentation duration variation curve is obtained by Hh=[Je-J(e-1)] / [Ze-Z(e-1)], where h is the number of data variation coefficients and h=e-1.

6. The data analysis and optimization management system for alternative fuels according to claim 5, characterized in that: The specific method for obtaining the calculation formula for the crushing operation time of the target fuel is: Summarize the numbers corresponding to the positive and negative values ​​in the data variation coefficient Hh, and mark them as +N and -N respectively. When +N and -N are both 0, it means that the optimal crushing time of the target fuel does not change with the weight of the target fuel and remains a constant value. Then, the optimal crushing time J1 corresponding to the target fuel under the preset weight Z1 is used as the crushing operation time K1 of the target fuel, and then the crushing operation time calculation formula of the target fuel is obtained: K1=J1+BZ×0, where BZ is the weight of the target fuel that needs to be crushed in a single operation, which is obtained through actual metering equipment; When one of +N and -N is 0, the coordinates of each node Re (Ze, Je) on the crushing time change curve are sequentially substituted into the preset linear function: Je = m1 × Ze + m2, where m1 and m2 are unknown parameters and unknown intercept values, respectively, and the specific values ​​of m1 and m2 θ1 and β1 are obtained, which are substituted into the preset linear function: Je = m1 × Ze + m2, and then the crushing operation time calculation formula of the target fuel is obtained: K1 = θ1 × BZ + β1; When both +N and -N are not 0, the coordinates of each node Re (Ze, Je) on the breaking time variation curve are sequentially substituted into the preset fitting function: Je = m3 × Ze 2 +m4×Ze+m5, after solving the preset fitting function equation, the specific values ​​of m3, m4 and m5 are obtained, θ2, θ3 and β2, and they are substituted into the preset fitting function: Je=m3×Ze 2 +m4×Ze+m5, and then obtain the calculation formula for the crushing operation time of the target fuel: K1=θ2×BZ 2 +θ3×BZ+β2.

7. The data analysis and optimization management system for alternative fuels according to claim 6, characterized in that: The specific method to obtain the crushing operation time required for the alternative fuel to be processed is: When it is necessary to perform a crushing operation on the alternative fuel to be processed, the type of the alternative fuel to be processed is obtained, and the single crushing weight of the alternative fuel to be processed is used as the value of BZ, which is substituted into the crushing operation time calculation formula corresponding to the type of alternative fuel to be processed, and then the crushing operation time required for the alternative fuel to be processed is calculated and output to the control module.

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