Optimization method and system based on charcoal preparation equipment control

Abstract

The invention discloses an optimization method and system based on biochar preparation equipment control, and relates to the technical field of biochar preparation, fine management is performed on raw materials input into biochar preparation equipment, input material feature data sets are obtained by determining component types, proportions and volumes of the input materials, the input material feature data sets are subjected to equivalence combination, and the input material feature data sets are obtained; in the biochar preparation process, carbonization parameters of finished carbon are monitored in real time, recording nodes are determined according to parameter performance, equipment parameters are adjusted, sensing parameters in equipment are collected, a sensing parameter sequence group is generated to reflect the relation between the equipment state and the quality of the finished carbon, and the optimal parameter sequence section is locked by analyzing the carbonization parameter sequence of the finished carbon, so that the quality of the finished carbon is determined. The sensing parameter sequence group corresponding to the sensing parameter sequence group is used as a reference, and the biochar equipment is subjected to optimization control based on the reference sensing parameter sequence group, so that step-by-step optimization of the control parameters of the preparation equipment is realized through the technical scheme, and the quality of the biochar is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of biochar preparation, and in particular to an optimization method and system based on biochar preparation equipment control. Background Art

[0002] In the fields of environmental protection and resource recycling, biochar, as a highly efficient and environmentally friendly soil conditioner and energy material, has long been a hot topic of research. Traditional biochar production processes often rely on empirical experience and lack precise control over input characteristics, the carbonization process, and equipment operating parameters. This results in inconsistent biochar product quality, low production efficiency, and high energy consumption.

[0003] Specifically, the composition and ratio of the input materials directly influence the physical and chemical properties of biochar, yet traditional preparation methods often neglect the meticulous management and optimization of these key parameters. Furthermore, key parameters such as temperature, pressure, and time during the carbonization process are crucial for the biochar's pore structure, specific surface area, and chemical stability. However, traditional processes rely heavily on empirical monitoring and adjustment of these parameters, lacking scientific data support and feedback mechanisms. Summary of the Invention

[0004] The purpose of the present invention is to provide a method and system capable of optimizing control parameters of biochar preparation equipment.

[0005] In order to achieve the above object, the present invention adopts the following technical solutions:

[0006] Optimization methods based on biochar preparation equipment control include:

[0007] Determining the input component type, input component ratio, and input volume of the biochar preparation equipment to obtain an input feature data group, and merging the input feature data groups for equality to obtain several valid input feature data groups;

[0008] Optimize monitoring for each effective feature data set:

[0009] Based on the performance of the carbonization parameters of the finished charcoal when the biochar is tested, a node for starting to record the carbonization parameter sequence of the finished charcoal is determined, and based on the performance of the carbonization parameters of the finished charcoal, the biochar preparation equipment is adjusted, and the sensor parameters in the equipment corresponding to the tested finished charcoal are determined, and based on the order of the collection time nodes, a number of sensor parameter sequences are generated, and the combination of the sensor parameter sequences is recorded as a sensor parameter sequence group;

[0010] Analyze the recorded carbonization parameter sequence of the finished product charcoal, lock the optimal carbonization parameter sequence segment of the finished product charcoal in the carbonization parameter sequence of the finished product charcoal, and identify the sensor parameter sequence group corresponding to the optimal carbonization parameter sequence segment of the finished product charcoal as the reference sensor parameter sequence group;

[0011] Based on the reference sensor parameter sequence group, the biochar equipment is optimized and controlled.

[0012] In some embodiments disclosed herein, a method for performing equality merging on input material characteristic data sets includes:

[0013] Based on the equality of input material component types, the input material characteristic data group is classified to obtain several input material characteristic data group categories;

[0014] A number of input component ratio intervals are set for the input component ratio of each input component type, and the input component ratio interval to which each input component ratio in the input material characteristic data group belongs is determined, and the input component ratio interval group corresponding to the input material characteristic data group is determined. Based on the input component ratio interval group, the input material characteristic data groups in the same input material characteristic data group category are secondary classified;

[0015] Based on the difference between the input material volumes, the input material characteristic data groups that have been classified twice are classified three times, and the input material characteristic data groups after the three classifications are merged for equality.

[0016] In some embodiments disclosed herein, the method for constructing a carbonization parameter sequence for a finished charcoal product includes:

[0017] The finished charcoal output by the biochar preparation equipment is carbonized and the test results are quantified to obtain the carbonization parameters of the finished charcoal. Based on the performance of the carbonization parameters of the finished charcoal, the subsequent testing frequency of the finished charcoal is determined, and the carbonization parameters of the finished charcoal obtained from each test are sorted to obtain the carbonization parameter sequence of the finished charcoal.

[0018] In some embodiments disclosed herein, a method for determining the frequency of subsequent testing of the finished charcoal based on the performance of the carbonization parameters of the finished charcoal includes:

[0019] A standard interval of carbonization parameters of finished charcoal is set for the carbonization parameters of finished charcoal. If the carbonization parameter T of the finished charcoal belongs to the standard interval of carbonization parameters of finished charcoal, the preset standard detection frequency P0 is selected as the detection frequency of the finished charcoal. If the carbonization parameter T of the finished charcoal is less than the lower boundary value T1 of the standard interval of carbonization parameters of finished charcoal, or is greater than the upper boundary value T2 of the standard interval of carbonization parameters of finished charcoal, the standard detection frequency P0 is corrected, and the corrected detection frequency P is recognized as the detection frequency of the finished charcoal.

[0020] Methods for correcting the standard detection frequency P0 include:

[0021] Calculate the absolute value ΔT of the carbonization parameter difference between the carbonization parameter T of the finished charcoal and the lower boundary value T1 of the interval or the upper boundary value T2 of the interval;

[0022] A carbonization parameter difference array t[t1, t2, t3, ..., tn] is set for the absolute value of the carbonization parameter difference ΔT, wherein t1 is a first preset carbonization parameter difference, t2 is a second preset carbonization parameter difference, t3 is a third preset carbonization parameter difference, tn is an nth preset carbonization parameter difference, and t1<t2<t3<...<tn; a frequency correction coefficient array [r1, r2, r3, ..., rn] is set for the standard detection frequency P0, wherein r1 is a first preset frequency correction coefficient, r2 is a second preset frequency correction coefficient, r3 is a third preset frequency correction coefficient, rn is an nth preset frequency correction coefficient, and r1<r2<r3<....<rn;

[0023] If ΔT≤t1, then the corrected detection frequency P=r1*P0;

[0024] If t1<ΔT≤t2, then the corrected detection frequency P=r2*P0;

[0025] If t2<ΔT≤t3, then the corrected detection frequency P=r3*P0; ...;

[0027] If tn-1<ΔT≤tn, then the corrected detection frequency P=rn*P0.

[0028] In some embodiments disclosed herein, a method for adjusting a biochar production device based on the performance of carbonization parameters of the finished charcoal includes:

[0029] Based on the absolute value of the carbonization parameter difference ΔT, the adjustment ratio parameter i&g of the i-th control parameter of the biochar preparation equipment is determined. The determination method includes:

[0030] An adjustment proportional parameter array g[i&g1, i&g2, i&g3, ..., i&gn] is set for the adjustment proportional parameter i&g, wherein i&g1 is the adjustment proportional parameter of the i-th control parameter of the first preset, i&g2 is the adjustment proportional parameter of the i-th control parameter of the second preset, i&g3 is the adjustment proportional parameter of the i-th control parameter of the third preset, i&gn is the adjustment proportional parameter of the i-th control parameter of the n-th preset, and i&g1<i&g2<i&g3<...<i&gn;

[0031] If ΔT≤t1, the adjustment ratio of the i-th control parameter of the biochar preparation equipment is Ki*ln(i&g1+bi), where Ki is the preset i-th control parameter adjustment ratio conversion coefficient and bi is the preset i-th control parameter adjustment ratio adjustment constant;

[0032] If t1<ΔT≤t2, the adjustment ratio of the i-th control parameter of the biochar preparation equipment is Ki*ln(i&g2+bi), where Ki is the preset i-th control parameter adjustment ratio conversion coefficient and bi is the preset i-th control parameter adjustment ratio adjustment constant;

[0033] If t1<ΔT≤t2, the adjustment ratio of the i-th control parameter of the biochar preparation equipment is Ki*ln(i&g2+bi), where Ki is the preset i-th control parameter adjustment ratio conversion coefficient and bi is the preset i-th control parameter adjustment ratio adjustment constant;

[0034] If t2<ΔT≤t3, the adjustment ratio of the i-th control parameter of the biochar preparation equipment is Ki*ln(i&g3+bi), where Ki is the preset i-th control parameter adjustment ratio conversion coefficient, and bi is the preset i-th control parameter adjustment ratio adjustment constant; ...;

[0036] If tn-1<ΔT≤tn, the adjustment ratio of the i-th control parameter of the biochar preparation equipment is Ki*ln(i&gn+bi), where Ki is the preset i-th control parameter adjustment ratio conversion coefficient, and bi is the preset i-th control parameter adjustment ratio adjustment constant.

[0037] In some embodiments disclosed herein, a method for locking an optimal finished charcoal carbonization parameter sequence segment in a finished charcoal carbonization parameter sequence includes:

[0038] Continuously analyzing the carbonization parameters of the finished charcoal in the carbonization parameter sequence of the finished charcoal, if a preset number of carbonization parameters of the finished charcoal meet the standard range of the carbonization parameters of the finished charcoal, then selecting the corresponding carbonization parameter sequence segment of the finished charcoal as the candidate carbonization parameter sequence segment of the finished charcoal;

[0039] Stability analysis and overall quality analysis are performed on several consecutive alternative finished product carbonization parameter sequence segments, and based on the analysis results, the optimal finished product carbonization parameter sequence segment is selected from the alternative finished product carbonization parameter sequence segments.

[0040] In some embodiments disclosed herein, a method for selecting an optimal finished charcoal carbonization parameter sequence segment from candidate finished charcoal carbonization parameter sequence segments includes:

[0041] The optimal carbonization parameters of the finished product carbon are set, and the carbonization parameter difference between each finished product carbonization parameter and the optimal finished product carbonization parameter in the carbonization parameter section of the candidate finished product carbonization parameter is determined;

[0042] Based on the variance of carbonization parameter differences, the stability evaluation of the carbonization parameter sections of the candidate finished carbon is determined;

[0043] Based on the sum of the carbonization parameter differences, the overall quality evaluation of the carbonization parameter sections of the candidate finished carbon is determined;

[0044] Based on the stability evaluation and the overall quality evaluation, the comprehensive optimization evaluation of the carbonization parameter segments of the alternative finished product charcoal is determined, and based on the comprehensive optimization evaluation, the corresponding carbonization parameter segments of the alternative finished product charcoal are selected as the optimal finished product charcoal carbonization parameter sequence segments.

[0045] In some embodiments disclosed herein, a method for determining a comprehensive optimization evaluation of carbonization parameter sections of candidate finished charcoal based on stability evaluation and overall quality evaluation includes:

[0046] A stability emphasis coefficient is set for the stability evaluation, and a quality emphasis coefficient is set for the overall quality evaluation. The product of the stability evaluation and the stability emphasis coefficient is calculated to obtain the first comprehensive priority sub-evaluation. The product of the overall quality evaluation and the quality emphasis coefficient is calculated to obtain the second comprehensive priority sub-evaluation.

[0047] The sum of the first comprehensive priority sub-evaluation and the second comprehensive priority sub-evaluation is calculated to obtain a comprehensive optimization evaluation.

[0048] In some embodiments disclosed herein, there is also disclosed an optimization system based on biochar preparation equipment control, comprising:

[0049] The first module is used to determine the input component type, input component ratio and input volume of the biochar preparation equipment to obtain an input feature data set, and perform equality merging on the input feature data sets to obtain several valid input feature data sets;

[0050] The second module is used to determine the node for starting to record the carbonization parameter sequence of the finished charcoal based on the performance of the carbonization parameters of the finished charcoal when the biochar is tested, and to adjust the biochar preparation equipment based on the performance of the carbonization parameters of the finished charcoal, determine the sensor parameters in the equipment corresponding to the tested finished charcoal, and generate a number of sensor parameter sequences based on the order of the collection time nodes, and record the combination of the sensor parameter sequences as a sensor parameter sequence group;

[0051] The third module is used to analyze the recorded carbonization parameter sequence of the finished charcoal, lock the optimal carbonization parameter sequence segment of the finished charcoal in the carbonization parameter sequence of the finished charcoal, and identify the sensor parameter sequence group corresponding to the optimal carbonization parameter sequence segment of the finished charcoal as the reference sensor parameter sequence group;

[0052] The fourth module is used to optimize the control of the biochar equipment based on the reference sensor parameter sequence group.

[0053] The present invention discloses an optimization method and system based on biochar preparation equipment control, which relates to the technical field of biochar preparation. The raw materials input into the biochar preparation equipment are managed in a refined manner. By determining the component type, proportion and volume of the input materials, a characteristic data group of the input materials is obtained, and the data are merged for equality. During the biochar preparation process, the carbonization parameters of the finished charcoal are monitored in real time, the recording nodes are determined according to the parameter performance, and the equipment parameters are adjusted. The sensor parameters in the equipment are collected and a sensor parameter sequence group is generated to reflect the relationship between the equipment status and the quality of the finished charcoal. By analyzing the carbonization parameter sequence of the finished charcoal, the optimal parameter sequence segment is locked and its corresponding sensor parameter sequence group is used as a reference. Based on the reference sensor parameter sequence group, the biochar equipment is optimized and controlled. Through the above technical scheme, the present invention realizes the gradual optimization of the control parameters of the preparation equipment to improve the quality of the biochar. BRIEF DESCRIPTION OF THE DRAWINGS

[0054] Figure 1 This is a method step diagram of the optimization method based on biochar preparation equipment control proposed in the present invention. DETAILED DESCRIPTION

[0055] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments.

[0056] The purpose of the present invention is to provide a method and system capable of optimizing control parameters of biochar preparation equipment.

[0057] In order to achieve the above object, the present invention adopts the following technical solutions:

[0058] Optimization methods based on biochar preparation equipment control include:

[0059] Step S100 , determining the component type, component ratio and volume of input materials fed into the biochar preparation device to obtain input material characteristic data sets, and merging the input material characteristic data sets for equality to obtain several valid input material characteristic data sets.

[0060] This step primarily aims to determine and optimize the initial conditions for biochar production. The component types, ratios, and volumes of the input materials directly impact biochar quality and yield. By merging these characteristic data sets based on their equivalence, redundant data can be reduced, data processing efficiency can be improved, and a number of valid input characteristic data sets can be generated. These valid data sets will serve as the basis for subsequent optimization and monitoring.

[0061] In some embodiments disclosed herein, a method for performing equality merging on input material characteristic data sets includes:

[0062] Step S101 : classifying input material characteristic data groups based on the equality of input material component types to obtain a plurality of input material characteristic data group categories.

[0063] In step S102, a number of input component ratio intervals are set for the input component ratio of each input component type, and the input component ratio interval to which each input component ratio in the input material characteristic data group belongs is determined, and the input component ratio interval group corresponding to the input material characteristic data group is determined. Based on the input component ratio interval group, the input material characteristic data groups in the same input material characteristic data group category are secondary classified.

[0064] Step S103 : Based on the difference between the input material volumes, the input material characteristic data groups that have been classified twice are classified three times, and the input material characteristic data groups that have been classified three times are merged for equality.

[0065] Optimize monitoring for each effective feature data set:

[0066] In step S200, based on the performance of the carbonization parameters of the finished charcoal when the biochar is tested, a node for starting to record the carbonization parameter sequence of the finished charcoal is determined, and based on the performance of the carbonization parameters of the finished charcoal, the biochar preparation equipment is adjusted, the sensor parameters in the equipment corresponding to the tested finished charcoal are determined, and based on the sequence relationship of the collection time nodes, several sensor parameter sequences are generated, and the combination of the sensor parameter sequences is recorded as a sensor parameter sequence group.

[0067] During the biochar preparation process, the carbonization parameters of the finished charcoal (such as temperature, pressure, time, etc.) are important indicators reflecting the carbonization effect. By determining the node at which to start recording the carbonization parameter sequence of the finished charcoal, key information in the carbonization process can be captured. At the same time, by adjusting the biochar preparation equipment based on the performance of the carbonization parameters of the finished charcoal, the carbonization conditions can be optimized in real time. In addition, by determining the sensor parameters within the equipment corresponding to the detected finished charcoal and generating a sensor parameter sequence group, the relationship between the carbonization parameters and the equipment sensor parameters can be established, providing a basis for subsequent data analysis and optimized control.

[0068] In some embodiments disclosed herein, the method for constructing a carbonization parameter sequence for a finished charcoal product includes:

[0069] Step S201: Perform carbonization detection on the finished charcoal output by the biochar preparation equipment, and quantify the detection results to obtain the carbonization parameters of the finished charcoal. Based on the performance of the carbonization parameters of the finished charcoal, determine the subsequent detection frequency of the finished charcoal, and sort the carbonization parameters of the finished charcoal obtained in each detection to obtain a carbonization parameter sequence of the finished charcoal.

[0070] The core of this step is to conduct carbonization testing on the finished charcoal produced by the biochar production equipment. During this testing process, not only is the degree of carbonization assessed, but the results are also converted into specific quantitative values ​​to determine the carbonization parameters of the finished charcoal. This quantification process ensures the accuracy and comparability of the data.

[0071] The frequency of subsequent testing will be determined based on the carbonization parameter performance of the finished charcoal obtained from the initial test. This means that if the initial test results show that the carbonization parameters fluctuate greatly or do not meet expectations, the frequency of testing may be increased to more closely monitor the carbonization process.

[0072] Finally, the carbonization parameters of the finished charcoal obtained from each test are sorted chronologically or in the order of test, thereby constructing a carbonization parameter sequence for the finished charcoal. This sequence provides a comprehensive perspective on the changes in parameters during the carbonization process, which facilitates subsequent analysis and optimization.

[0073] In some embodiments disclosed herein, a method for determining the frequency of subsequent testing of the finished charcoal based on the performance of the carbonization parameters of the finished charcoal includes:

[0074] Step S2011, a standard range of carbonization parameters of finished charcoal is set for the carbonization parameters of finished charcoal. If the carbonization parameter T of the finished charcoal belongs to the standard range of carbonization parameters of finished charcoal, the preset standard detection frequency P0 is selected as the detection frequency of the finished charcoal. If the carbonization parameter T of the finished charcoal is less than the lower boundary value T1 of the standard range of carbonization parameters of finished charcoal, or is greater than the upper boundary value T2 of the standard range of carbonization parameters of finished charcoal, the standard detection frequency P0 is corrected, and the corrected detection frequency P is recognized as the detection frequency of the finished charcoal.

[0075] Methods for correcting the standard detection frequency P0 include:

[0076] Step S2012: Calculate the absolute value ΔT of the carbonization parameter difference between the carbonization parameter T of the finished char and the lower boundary value T1 or the upper boundary value T2 of the interval.

[0077] A carbonization parameter difference array t[t1, t2, t3, ..., tn] is set for the absolute value of the carbonization parameter difference ΔT, wherein t1 is the first preset carbonization parameter difference, t2 is the second preset carbonization parameter difference, t3 is the third preset carbonization parameter difference, tn is the nth preset carbonization parameter difference, and t1<t2<t3<...<tn. A frequency correction coefficient array [r1, r2, r3, ...., rn] is set for the standard detection frequency P0, wherein r1 is the first preset frequency correction coefficient, r2 is the second preset frequency correction coefficient, r3 is the third preset frequency correction coefficient, rn is the nth preset frequency correction coefficient, and r1<r2<r3<....<rn.

[0078] If ΔT≤t1, the corrected detection frequency P=r1*P0.

[0079] If t1<ΔT≤t2, then the corrected detection frequency P=r2*P0.

[0080] If t2<ΔT≤t3, then the corrected detection frequency P=r3*P0.

[0081] ....

[0082] If tn-1<ΔT≤tn, then the corrected detection frequency P=rn*P0.

[0083] In some embodiments disclosed herein, a method for adjusting a biochar production device based on the performance of carbonization parameters of the finished charcoal includes:

[0084] Step S202: Based on the absolute value of the carbonization parameter difference ΔT, the adjustment ratio parameter i&g of the i-th control parameter of the biochar preparation equipment is determined. The determination method includes:

[0085] An adjustment proportional parameter array g[i&g1, i&g2, i&g3, ..., i&gn] is set for the adjustment proportional parameter i&g, wherein i&g1 is the adjustment proportional parameter of the i-th control parameter of the first preset, i&g2 is the adjustment proportional parameter of the i-th control parameter of the second preset, i&g3 is the adjustment proportional parameter of the i-th control parameter of the third preset, i&gn is the adjustment proportional parameter of the i-th control parameter of the n-th preset, and i&g1<i&g2<i&g3<...<i&gn.

[0086] If ΔT≤t1, the adjustment ratio of the i-th control parameter of the biochar preparation equipment is Ki*ln(i&g1+bi), where Ki is the preset i-th control parameter adjustment ratio conversion coefficient, and bi is the preset i-th control parameter adjustment ratio adjustment constant.

[0087] If t1<ΔT≤t2, the adjustment ratio of the i-th control parameter of the biochar preparation equipment is Ki*ln(i&g2+bi), where Ki is the preset i-th control parameter adjustment ratio conversion coefficient, and bi is the preset i-th control parameter adjustment ratio adjustment constant.

[0088] If t1<ΔT≤t2, the adjustment ratio of the i-th control parameter of the biochar preparation equipment is Ki*ln(i&g2+bi), where Ki is the preset i-th control parameter adjustment ratio conversion coefficient, and bi is the preset i-th control parameter adjustment ratio adjustment constant.

[0089] If t2<ΔT≤t3, the adjustment ratio of the i-th control parameter of the biochar preparation equipment is Ki*ln(i&g3+bi), where Ki is the preset i-th control parameter adjustment ratio conversion coefficient, and bi is the preset i-th control parameter adjustment ratio adjustment constant.

[0090] ....

[0091] If tn-1<ΔT≤tn, the adjustment ratio of the i-th control parameter of the biochar preparation equipment is Ki*ln(i&gn+bi), where Ki is the preset i-th control parameter adjustment ratio conversion coefficient, and bi is the preset i-th control parameter adjustment ratio adjustment constant.

[0092] Step S300 , analyzing the recorded carbonization parameter sequence of the finished charcoal, locking the optimal carbonization parameter sequence segment of the finished charcoal, and identifying the sensor parameter sequence group corresponding to the optimal carbonization parameter sequence segment of the finished charcoal as the reference sensor parameter sequence group.

[0093] This step primarily involves an in-depth analysis of the recorded carbonization parameter sequence for the finished charcoal. By identifying the optimal carbonization parameter sequence segment for the finished charcoal, the optimal carbonization condition combination can be identified. Furthermore, the sensor parameter sequence group corresponding to this optimal carbonization parameter sequence segment is designated as the reference sensor parameter sequence group, providing a reliable basis for subsequent optimization and control of the biochar equipment.

[0094] In some embodiments disclosed herein, a method for locking an optimal finished charcoal carbonization parameter sequence segment in a finished charcoal carbonization parameter sequence includes:

[0095] Step S301, continuously analyzing the carbonization parameters of the finished charcoal in the carbonization parameter sequence of the finished charcoal, if a preset number of carbonization parameters of the finished charcoal meet the standard range of the carbonization parameters of the finished charcoal, then selecting the corresponding carbonization parameter sequence segment of the finished charcoal as the candidate carbonization parameter sequence segment of the finished charcoal;

[0096] Step S302 , performing stability analysis and overall quality analysis on a plurality of consecutive candidate finished charcoal carbonization parameter sequence segments, and selecting the optimal finished charcoal carbonization parameter sequence segment from the candidate finished charcoal carbonization parameter sequence segments based on the analysis results.

[0097] In some embodiments disclosed herein, a method for selecting an optimal finished charcoal carbonization parameter sequence segment from candidate finished charcoal carbonization parameter sequence segments includes:

[0098] Step S3021: setting the optimal carbonization parameters of the finished charcoal, and determining the carbonization parameter difference between each finished charcoal in the carbonization parameter section of the candidate finished charcoal and the optimal carbonization parameter of the finished charcoal.

[0099] Step S3022: Determine the stability evaluation of the carbonization parameter section of the candidate finished charcoal based on the variance of the carbonization parameter difference.

[0100] Step S3023: determining the overall quality evaluation of the carbonization parameter sections of the candidate finished charcoal based on the sum of the carbonization parameter difference amounts.

[0101] Step S3024, based on the stability evaluation and the overall quality evaluation, determine the comprehensive optimization evaluation of the carbonization parameter segment of the candidate finished charcoal, and based on the comprehensive optimization evaluation, select the corresponding carbonization parameter segment of the candidate finished charcoal as the optimal carbonization parameter sequence segment of the finished charcoal.

[0102] In some embodiments disclosed herein, a method for determining a comprehensive optimization evaluation of carbonization parameter sections of candidate finished charcoal based on stability evaluation and overall quality evaluation includes:

[0103] Step S3025: set a stability emphasis coefficient for the stability evaluation, set a quality emphasis coefficient for the overall quality evaluation, calculate the product of the stability evaluation and the stability emphasis coefficient to obtain the first comprehensive priority sub-evaluation, calculate the product of the overall quality evaluation and the quality emphasis coefficient to obtain the second comprehensive priority sub-evaluation.

[0104] Step S3026, calculate the sum of the first comprehensive priority sub-evaluation and the second comprehensive priority sub-evaluation to obtain a comprehensive optimization evaluation.

[0105] Step S400: Optimizing and controlling the biochar equipment based on the reference sensor parameter sequence group.

[0106] Based on the reference sensor parameter sequence obtained in the previous step, this step focuses on optimizing the biochar equipment. By adjusting the equipment's sensor parameters to maintain consistency or close proximity with the reference sensor parameter sequence, precise control of the biochar production process can be achieved, thereby improving biochar quality and yield.

[0107] In some embodiments disclosed herein, there is also disclosed an optimization system based on biochar preparation equipment control, comprising:

[0108] The first module is used to determine the input component type, input component ratio and input volume of the biochar preparation equipment to obtain an input feature data set, and perform equality merging on the input feature data sets to obtain several valid input feature data sets;

[0109] The second module is used to determine the node for starting to record the carbonization parameter sequence of the finished charcoal based on the performance of the carbonization parameters of the finished charcoal when the biochar is tested, and to adjust the biochar preparation equipment based on the performance of the carbonization parameters of the finished charcoal, determine the sensor parameters in the equipment corresponding to the tested finished charcoal, and generate a number of sensor parameter sequences based on the order of the collection time nodes, and record the combination of the sensor parameter sequences as a sensor parameter sequence group;

[0110] The third module is used to analyze the recorded carbonization parameter sequence of the finished charcoal, lock the optimal carbonization parameter sequence segment of the finished charcoal in the carbonization parameter sequence of the finished charcoal, and identify the sensor parameter sequence group corresponding to the optimal carbonization parameter sequence segment of the finished charcoal as the reference sensor parameter sequence group;

[0111] The fourth module is used to optimize the control of the biochar equipment based on the reference sensor parameter sequence group.

[0112] The present invention discloses an optimization method and system based on biochar preparation equipment control, which relates to the technical field of biochar preparation. The raw materials input into the biochar preparation equipment are managed in a refined manner. By determining the component type, proportion and volume of the input materials, a characteristic data group of the input materials is obtained, and the data are merged for equality. During the biochar preparation process, the carbonization parameters of the finished charcoal are monitored in real time, the recording nodes are determined according to the parameter performance, and the equipment parameters are adjusted. The sensor parameters in the equipment are collected and a sensor parameter sequence group is generated to reflect the relationship between the equipment status and the quality of the finished charcoal. By analyzing the carbonization parameter sequence of the finished charcoal, the optimal parameter sequence segment is locked and its corresponding sensor parameter sequence group is used as a reference. Based on the reference sensor parameter sequence group, the biochar equipment is optimized and controlled. Through the above technical scheme, the present invention realizes the gradual optimization of the control parameters of the preparation equipment to improve the quality of the biochar.

[0113] The above description is only a preferred specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any technician familiar with the technical field, within the technical scope disclosed by the present invention, who makes equivalent replacements or changes based on the technical solution and inventive concept of the present invention, should be covered by the scope of protection of the present invention.

Claims

1. An optimization method based on biochar preparation equipment control, characterized in that: include: Determine the input material component type, input material component ratio and input material volume of the biochar preparation device to obtain an input material characteristic data group, and perform equivalent merging on the input material characteristic data groups to obtain a number of effective input material characteristic data groups; Optimize monitoring for each effective feature data set: Based on the performance of the carbonization parameters of the finished charcoal when the biochar is tested, determine the node for starting to record the carbonization parameter sequence of the finished charcoal, and based on the performance of the carbonization parameters of the finished charcoal, adjust the biochar preparation equipment, determine the sensor parameters in the equipment corresponding to the tested finished charcoal, and generate a number of sensor parameter sequences based on the order of the acquisition time nodes, and record the combination of the sensor parameter sequences as a sensor parameter sequence group; Analyze the recorded carbonization parameter sequence of the finished charcoal, lock the optimal carbonization parameter sequence segment of the finished charcoal in the carbonization parameter sequence of the finished charcoal, and identify the sensor parameter sequence group corresponding to the optimal carbonization parameter sequence segment of the finished charcoal as the reference sensor parameter sequence group; Based on the reference sensor parameter sequence group, the biochar equipment is optimized and controlled.

2. The optimization method based on biochar preparation equipment control according to claim 1, characterized in that: Methods for merging input material characteristic data sets equally include: Based on the equality of input material component types, the input material characteristic data group is classified to obtain a number of input material characteristic data group categories; A number of input component ratio intervals are set for the input component ratio of each input component type, the input component ratio interval to which each input component ratio in the input material characteristic data group belongs is determined, the input component ratio interval group corresponding to the input material characteristic data group is determined, and based on the input component ratio interval group, the input material characteristic data groups in the same input material characteristic data group category are secondary classified; Based on the difference between the input material volumes, the input material characteristic data groups that have been classified twice are classified three times, and the input material characteristic data groups that have been classified three times are merged for equality.

3. The optimization method based on biochar preparation equipment control according to claim 1, characterized in that: The method for constructing the carbonization parameter sequence of the finished charcoal includes: The finished charcoal output from the biochar preparation equipment is carbonized and the test results are quantified to obtain the carbonization parameters of the finished charcoal. Based on the performance of the carbonization parameters of the finished charcoal, the subsequent testing frequency of the finished charcoal is determined, and the carbonization parameters of the finished charcoal obtained from each test are sorted to obtain the carbonization parameter sequence of the finished charcoal.

4. The optimization method based on biochar preparation equipment control according to claim 3 is characterized in that: Based on the performance of the carbonization parameters of the finished charcoal, the methods for determining the subsequent testing frequency of the finished charcoal include: A standard interval of carbonization parameters of finished charcoal is set for the carbonization parameters of finished charcoal. If the carbonization parameter T of finished charcoal belongs to the standard interval of carbonization parameters of finished charcoal, the preset standard detection frequency P0 is selected as the detection frequency of finished charcoal. If the carbonization parameter T of finished charcoal is less than the lower boundary value T1 of the standard interval of carbonization parameters of finished charcoal, or greater than the upper boundary value T2 of the standard interval of carbonization parameters of finished charcoal, the standard detection frequency P0 is corrected, and the corrected detection frequency P is recognized as the detection frequency of finished charcoal. Methods for correcting the standard detection frequency P0 include: Calculate the absolute value ΔT of the carbonization parameter difference between the carbonization parameter T of the finished charcoal and the lower boundary value T1 of the interval or the upper boundary value T2 of the interval; A carbonization parameter difference array t[t1, t2, t3, ..., tn] is set for the absolute value of the carbonization parameter difference ΔT, wherein t1 is the first preset carbonization parameter difference, t2 is the second preset carbonization parameter difference, t3 is the third preset carbonization parameter difference, tn is the nth preset carbonization parameter difference, and t1<t2<t3<...<tn, and a frequency correction coefficient array [r1, r2, r3, ...., rn] is set for the standard detection frequency P0, wherein r1 is the first preset frequency correction coefficient, r2 is the second preset frequency correction coefficient, r3 is the third preset frequency correction coefficient, rn is the nth preset frequency correction coefficient, and r1<r2<r3<....<rn; If ΔT≤t1, then the corrected detection frequency P=r1*P0; If t1<ΔT≤t2, then the corrected detection frequency P=r2*P0; If t2<ΔT≤t3, then the corrected detection frequency P=r3*P0; ...； If tn-1<ΔT≤tn, the corrected detection frequency P=rn*P0.

5. The optimization method based on biochar preparation equipment control according to claim 4, characterized in that: Based on the performance of the carbonization parameters of the finished charcoal, the methods for adjusting the biochar preparation equipment include: Based on the absolute value ΔT of the carbonization parameter difference, the adjustment ratio parameter i&g of the i-th control parameter of the biochar preparation equipment is determined, and the determination method includes: An adjustment proportional parameter array g[i&g1, i&g2, i&g3, ..., i&gn] is set for the adjustment proportional parameter i&g, wherein i&g1 is the adjustment proportional parameter of the i-th control parameter of the first preset, i&g2 is the adjustment proportional parameter of the i-th control parameter of the second preset, i&g3 is the adjustment proportional parameter of the i-th control parameter of the third preset, i&gn is the adjustment proportional parameter of the i-th control parameter of the n-th preset, i&g1<i&g2<i&g3<...<i&gn; If ΔT≤t1, the adjustment ratio of the i-th control parameter of the biochar preparation equipment is Ki*ln(i&g1+bi), where Ki is the preset i-th control parameter adjustment ratio conversion coefficient, and bi is the preset i-th control parameter adjustment ratio adjustment constant; If t1<ΔT≤t2, the adjustment ratio of the i-th control parameter of the biochar preparation equipment is Ki*ln(i&g2+bi), where Ki is the preset i-th control parameter adjustment ratio conversion coefficient, and bi is the preset i-th control parameter adjustment ratio adjustment constant; If t1<ΔT≤t2, the adjustment ratio of the i-th control parameter of the biochar preparation equipment is Ki*ln(i&g2+bi), where Ki is the preset i-th control parameter adjustment ratio conversion coefficient, and bi is the preset i-th control parameter adjustment ratio adjustment constant; If t2<ΔT≤t3, the adjustment ratio of the i-th control parameter of the biochar preparation equipment is Ki*ln(i&g3+bi), where Ki is the preset i-th control parameter adjustment ratio conversion coefficient, and bi is the preset i-th control parameter adjustment ratio adjustment constant; ...； If tn-1<ΔT≤tn, the adjustment ratio of the i-th control parameter of the biochar preparation equipment is Ki*ln(i&gn+bi), wherein Ki is the preset i-th control parameter adjustment ratio conversion coefficient, and bi is the preset i-th control parameter adjustment ratio adjustment constant.

6. The optimization method based on biochar preparation equipment control according to claim 1, characterized in that: The method for locking the optimal finished charcoal carbonization parameter sequence section in the finished charcoal carbonization parameter sequence comprises: Continuously analyzing the carbonization parameters of the finished charcoal in the carbonization parameter sequence of the finished charcoal, if a preset number of carbonization parameters of the finished charcoal meet the standard range of the carbonization parameters of the finished charcoal, then selecting the corresponding carbonization parameter sequence segment of the finished charcoal as the candidate carbonization parameter sequence segment of the finished charcoal; Stability analysis and overall quality analysis are performed on several consecutive candidate finished charcoal carbonization parameter sequence segments, and based on the analysis results, the optimal finished charcoal carbonization parameter sequence segment is selected from the candidate finished charcoal carbonization parameter sequence segments.

7. The optimization method based on biochar preparation equipment control according to claim 6, characterized in that: The method for selecting the optimal finished charcoal carbonization parameter sequence section from the candidate finished charcoal carbonization parameter sequence sections comprises: The optimal carbonization parameters of the finished product carbon are set, and the carbonization parameter difference between each finished product carbonization parameter and the optimal finished product carbonization parameter in the carbonization parameter section of the candidate finished product carbon is determined; Based on the variance of carbonization parameter difference, the stability evaluation of carbonization parameter section of candidate finished carbon is determined; Based on the sum of carbonization parameter differences, the overall quality evaluation of the carbonization parameter sections of the candidate finished carbon is determined; Based on the stability evaluation and the overall quality evaluation, the comprehensive optimization evaluation of the carbonization parameter segments of the alternative finished charcoal is determined, and based on the comprehensive optimization evaluation, the corresponding carbonization parameter segments of the alternative finished charcoal are selected as the optimal finished charcoal carbonization parameter sequence segments.

8. The optimization method based on biochar preparation equipment control according to claim 7, characterized in that: Based on the stability evaluation and overall quality evaluation, the method for determining the comprehensive optimization evaluation of the carbonization parameter section of the candidate finished carbon includes: A stability emphasis coefficient is set for the stability evaluation, and a quality emphasis coefficient is set for the overall quality evaluation. The product of the stability evaluation and the stability emphasis coefficient is calculated to obtain the first comprehensive priority sub-evaluation. The product of the overall quality evaluation and the quality emphasis coefficient is calculated to obtain the second comprehensive priority sub-evaluation. The sum of the first comprehensive priority sub-evaluation and the second comprehensive priority sub-evaluation is calculated to obtain a comprehensive optimization evaluation.

9. An optimization system based on biochar preparation equipment control, characterized in that: include: The first module is used to determine the input material component type, input material component ratio and input material volume of the biochar preparation equipment, obtain the input material characteristic data group, and perform equivalent merging on the input material characteristic data groups to obtain several valid input material characteristic data groups; The second module is used to determine the node for starting to record the sequence of carbonization parameters of the finished charcoal based on the performance of the carbonization parameters of the finished charcoal when the biochar is detected, and to adjust the biochar preparation equipment based on the performance of the carbonization parameters of the finished charcoal, determine the sensor parameters in the equipment corresponding to the detected finished charcoal, and generate a number of sensor parameter sequences based on the order of the acquisition time nodes, and record the combination of the sensor parameter sequences as a sensor parameter sequence group; The third module is used to analyze the recorded finished charcoal carbonization parameter sequence, lock the optimal finished charcoal carbonization parameter sequence segment in the finished charcoal carbonization parameter sequence, and identify the sensor parameter sequence group corresponding to the optimal finished charcoal carbonization parameter sequence segment as the reference sensor parameter sequence group; The fourth module is used to optimize the control of the biochar equipment based on the reference sensor parameter sequence group.

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