Crushing effect evaluation system and method for mulching film cotton stalk crushing and sorting equipment

Abstract

The invention relates to the technical field of mulching film cotton stalk smashing and sorting, and discloses a smashing effect evaluation system and method of mulching film cotton stalk smashing and sorting equipment, and the system comprises a mulching film cotton stalk smashing machine, a mulching film cotton stalk sorting machine and a smashing evaluation module; the first acquisition layer is configured to determine crushing parameters of the mulching film cotton stalk crusher according to the material information and the initial image data; the execution layer is configured to feed the crushed materials into a mulching film cotton stalk sorting machine for sorting to obtain sorted materials; the second acquisition layer is configured to determine an initial crushing effect evaluation value of the mulching film cotton stalk crusher based on the analysis result; the judgment layer is configured to judge whether the initial crushing effect evaluation value is adjusted or not according to the sorting image data; the adjustment layer is configured to use a product value of the adjustment coefficient and the initial crushing effect evaluation value as a final crushing effect evaluation value. The method can be used for scientifically and accurately evaluating the crushing effect of the mulching film cotton stalk crushing and sorting equipment.

Description

Technical Field

[0001] This invention relates to the field of cotton stalk crushing and sorting technology, and more specifically, to a crushing effect evaluation system and method for cotton stalk crushing and sorting equipment. Background Technology

[0002] In agricultural production, the disposal of cotton stalks from plastic film mulching has always been an important and challenging issue. The effective separation of the mulch film from the cotton stalks and the degree of stalk crushing have significant impacts on subsequent resource reuse and environmental protection. Traditional cotton stalk crushing and sorting equipment lacks effective methods for evaluating crushing performance in practical applications. On the one hand, existing evaluation methods often rely solely on subjective judgment based on human experience, which is not only inefficient but also makes it difficult to guarantee the accuracy and reliability of the evaluation results. On the other hand, while some equipment attempts to use simple parameter monitoring to evaluate crushing performance, these parameters are singular and incomplete, failing to comprehensively reflect the actual crushing effect of the equipment in actual operation. For example, focusing only on the particle size of the cotton stalks while ignoring factors such as the degree of separation between the mulch film and the cotton stalks, and energy consumption during the crushing process. This leads to an inability to accurately grasp the equipment's operating status in actual production, hindering the timely detection and adjustment of equipment problems, thus affecting the processing efficiency and quality of the cotton stalks from plastic film mulching, increasing production costs, and hindering the sustainable use of agricultural resources.

[0003] Therefore, it is necessary to design a crushing effect evaluation system and method for plastic film cotton stalk crushing and sorting equipment to solve the problems existing in the current technology. Summary of the Invention

[0004] In view of this, the present invention proposes a crushing effect evaluation system and method for a plastic film cotton stalk crushing and sorting equipment, aiming to solve the problem in the current technology that the inability to accurately grasp the working status of the equipment, the inability to promptly detect and adjust the equipment problems, and thus affect the processing efficiency and quality of plastic film cotton stalks, increase production costs, and are not conducive to the sustainable use of agricultural resources.

[0005] In one aspect, the present invention proposes a crushing effect evaluation system for a cotton stalk crushing and sorting device, comprising: The system includes a plastic film cotton stalk shredder, a plastic film cotton stalk sorter, and a shredding evaluation module. The plastic film cotton stalk shredder and the plastic film cotton stalk sorter are interconnected via a discharge hopper. The shredding evaluation module is connected to both the plastic film cotton stalk shredder and the plastic film cotton stalk sorter. The shredding evaluation module includes a first collection layer, an execution layer, a second collection layer, a judgment layer, an adjustment layer, and a grade determination layer. The first acquisition layer is configured to acquire material information and initial image data of the material to be processed, and determine the crushing parameters of the plastic film cotton stalk crusher based on the material information and initial image data; The execution layer is configured to drive the plastic film cotton stalk shredder to shred the material to be processed according to the shredding parameters, and to obtain shredded material; it is also configured to send the shredded material into the plastic film cotton stalk sorter for sorting, and to obtain sorted material; The second acquisition layer is configured to acquire the crushing image data of the crushed material, analyze the crushing image data, and determine the initial crushing effect evaluation value of the plastic film cotton stalk crusher based on the analysis results; The judgment layer is configured to collect sorting image data of the sorted material and determine whether to adjust the initial crushing effect evaluation value based on the sorting image data; The adjustment layer is configured to, when it is determined that the initial crushing effect evaluation value needs to be adjusted, collect the real-time sorting parameters of the plastic film cotton stalk sorter, determine the adjustment coefficient of the initial crushing effect evaluation value based on the sorting image data and the real-time sorting parameters, and use the product of the adjustment coefficient and the initial crushing effect evaluation value as the final crushing effect evaluation value. The grading layer is configured to determine the pulverizing effect grade of the plastic film cotton stalk pulverizer based on the final pulverizing effect evaluation value.

[0006] Furthermore, when determining the crushing parameters of the plastic film stalk crusher based on the material information and initial image data, the following steps are included: The material information is analyzed to obtain the type of mulch film, thickness of mulch film, moisture content of material and feeding rate of material to be processed; Feature extraction is performed on the initial image data to obtain the cotton stalk length distribution characteristics and the continuous area characteristics of the plastic film mulch of the material to be processed; A material vector group is constructed based on the aforementioned mulch film type, mulch film thickness, material moisture content, and feeding rate; The crushing parameters of the cotton stalk crusher are determined based on the material vector group, the cotton stalk length distribution characteristics, and the continuous area characteristics of the plastic film.

[0007] Furthermore, when determining the crushing parameters of the plastic film cotton stalk crusher based on the material vector group, cotton stalk length distribution characteristics, and plastic film continuous area characteristics, the following are included: The material vector group is compared with the historical crushing group, and the basic crushing parameters of the plastic film cotton stalk crusher are determined based on the comparison results. The compensation coefficient of the basic crushing parameter is determined based on the cotton stalk length distribution characteristics and the continuous area characteristics of the plastic film, and the product of the compensation coefficient and the basic crushing parameter is used as the crushing parameter; When determining the basic crushing parameters of the cotton stalk crusher based on the comparison results, the following are included: If there is a historical material vector group in the historical crushing group that is the same as the material vector group, then the historical crushing parameters corresponding to the historical material vector group shall be used as the basic crushing parameters. If there is no historical material vector group in the historical crushing group that is the same as the material vector group, then the basic crushing parameters are determined based on the material vector group.

[0008] Further, when determining the basic crushing parameters based on the material vector set, the following steps are included: The mulch film type and thickness are compared with a preset pulverization difficulty coefficient mapping table to determine the mulch film pulverization difficulty coefficient. Obtain the standard difficulty value, standard moisture content, and standard feeding rate corresponding to the film pulverization difficulty coefficient, material moisture content, and feeding rate, respectively, and calculate the film pulverization difficulty deviation, moisture content deviation, and rate deviation. A comprehensive deviation index is determined based on the deviations in the difficulty of pulverizing the plastic film, the deviation in moisture content, and the deviation in the pulverization rate. The comprehensive deviation index is compared with the first comprehensive deviation index and the second comprehensive deviation index, and the basic crushing parameters are determined based on the comparison results; wherein, the first comprehensive deviation index is less than the second comprehensive deviation index; When the comprehensive deviation index is less than or equal to the first comprehensive deviation index, the basic crushing parameter is determined to be the first crushing parameter; When the comprehensive deviation index is greater than the first comprehensive deviation index and less than or equal to the second comprehensive deviation index, the basic crushing parameter is determined to be the second crushing parameter; When the comprehensive deviation index is greater than the second comprehensive deviation index, the basic crushing parameter is determined to be the third crushing parameter.

[0009] Furthermore, when determining the compensation coefficient for the basic crushing parameters based on the cotton stalk length distribution characteristics and the continuous area characteristics of the plastic film, the following is included: The cotton stalk length distribution coefficient of the material to be processed is determined based on the cotton stalk length distribution characteristics. The mulch film area coefficient of the material to be treated is determined based on the characteristics of the mulch film area. The cotton stalk length distribution coefficient is compared with the cotton stalk length distribution coefficient threshold, and the plastic film mulch area coefficient is compared with the plastic film mulch area coefficient threshold. The compensation coefficient of the basic crushing parameter is determined based on the comparison results. When the cotton stalk length distribution coefficient is greater than or equal to the cotton stalk length distribution coefficient threshold, and the plastic film mulch area coefficient is greater than or equal to the plastic film mulch area coefficient threshold, the compensation coefficient is determined to be the first compensation coefficient. When the cotton stalk length distribution coefficient is greater than or equal to the cotton stalk length distribution coefficient threshold, and the plastic film mulch area coefficient is less than the plastic film mulch area coefficient threshold, the compensation coefficient is determined to be the second compensation coefficient. When the cotton stalk length distribution coefficient is less than the cotton stalk length distribution coefficient threshold, and the plastic film mulch area coefficient is greater than or equal to the plastic film mulch area coefficient threshold, the compensation coefficient is determined to be the third compensation coefficient. When the cotton stalk length distribution coefficient is less than the cotton stalk length distribution coefficient threshold and the plastic film mulch area coefficient is less than the plastic film mulch area coefficient threshold, the compensation coefficient is determined to be the fourth compensation coefficient.

[0010] Furthermore, when analyzing the pulverized image data and determining the initial pulverization effect evaluation value of the plastic film cotton stalk pulverizer based on the analysis results, the following steps are included: The crushed image data is analyzed using an edge detection combined with an image segmentation algorithm to extract the crushing index values ​​of the crushed material; wherein, the crushing index values ​​include cotton stalk breakage rate, number of connected components, cotton stalk aspect ratio, membrane area ratio, and size uniformity; Obtain the preset breakage rate and preset number of connected components corresponding to the cotton stalk breakage rate and the number of connected components; The difference between the cotton stalk breakage rate and the preset breakage rate, and the difference between the number of connected components and the preset number of connected components are obtained respectively, and recorded as the breakage rate difference and the connected component difference respectively. Obtain the preset length-to-width ratio, preset membrane area ratio, and preset size uniformity corresponding to the cotton stalk length-to-width ratio, membrane area ratio, and size uniformity; The ratios of the cotton stalk length-to-width ratio to the preset length-to-width ratio, the ratio of the membrane area ratio to the preset membrane area ratio, and the ratio of the dimensional uniformity to the preset dimensional uniformity are obtained respectively, and are recorded as the length-to-width ratio, the membrane area ratio, and the dimensional uniformity ratio respectively. The initial crushing effect evaluation value of the plastic film cotton stalk crusher is determined based on the fracture rate difference, connected region difference, length-to-width ratio, membrane area ratio, and dimensional uniformity ratio.

[0011] Further, when determining whether to adjust the initial crushing effect evaluation value based on the sorting image data, the process includes: The sorting image data is analyzed to obtain the impurity ratio of the sorted material; The impurity ratio is compared with the impurity ratio threshold, and the initial pulverization effect evaluation value is adjusted based on the comparison result. If the impurity ratio is greater than or equal to the impurity ratio threshold, it is determined that the initial pulverization effect evaluation value should be adjusted. Otherwise, it is determined that the initial pulverization effect evaluation value will not be adjusted.

[0012] Further, when determining the adjustment coefficient for the initial crushing effect evaluation value based on the sorting image data and real-time sorting parameters, the following is included: The real-time sorting parameters are analyzed to obtain the real-time sorting speed and real-time sorting flow rate of the plastic film cotton stalk sorter; The sorting influencing factors are determined based on the real-time sorting speed, real-time sorting flow rate, and impurity ratio. The sorting impact factor is compared with the first sorting impact factor and the second sorting impact factor, and the adjustment coefficient is determined based on the comparison result; wherein the first sorting impact factor is smaller than the second sorting impact factor; When the sorting impact factor is less than or equal to the first sorting impact factor, the adjustment coefficient and the first adjustment coefficient are determined. When the sorting impact factor is greater than the first sorting impact factor and less than or equal to the second sorting impact factor, the adjustment coefficient is determined to be the second adjustment coefficient. When the sorting impact factor is greater than the second sorting impact factor, the adjustment coefficient is determined to be the third adjustment coefficient.

[0013] Further, when determining the pulverizing effect level of the plastic film cotton stalk pulverizer based on the final pulverizing effect evaluation value, the following is included: The final crushing effect evaluation value is compared with the first crushing effect evaluation value and the second crushing effect evaluation value, and the crushing effect level of the plastic film cotton stalk crusher is determined according to the comparison result; wherein, the first crushing effect evaluation value is less than the second crushing effect evaluation value; When the final pulverization effect evaluation value is less than or equal to the first pulverization effect evaluation value, the pulverization effect level is determined to be low. When the final pulverization effect evaluation value is greater than the first pulverization effect evaluation value and less than or equal to the second pulverization effect evaluation value, the pulverization effect level is determined to be medium. When the final pulverization effect evaluation value is greater than the second pulverization effect evaluation value, the pulverization effect level is determined to be high level.

[0014] Compared with existing technologies, the beneficial effects of this invention are as follows: The pulverization effect evaluation system for the cotton stalk pulverizing and sorting equipment provided by this invention can scientifically and accurately evaluate the pulverization effect of the equipment. Through comprehensive analysis of material information, image data, and real-time sorting parameters, the system can determine reasonable pulverization parameters to ensure the efficiency and accuracy of the pulverization process. Using image analysis technology to obtain pulverization index values ​​to determine the initial pulverization effect evaluation value can intuitively reflect the pulverization quality. Based on the sorting image data, it is determined whether to adjust the evaluation value and to determine the adjustment coefficient, making the evaluation results more consistent with the actual situation. Finally, the pulverization effect level is determined based on the evaluation value, providing a clear reference for equipment performance optimization and improvement.

[0015] In another aspect, the present invention also proposes a method for evaluating the crushing effect of a cotton stalk crushing and sorting device, comprising the following steps: Collect material information and initial image data of the material to be processed, and determine the crushing parameters of the plastic film cotton stalk crusher based on the material information and initial image data; The pulverizing parameters are used to drive the mulch cotton stalk pulverizer to pulverize the material to be processed, thereby obtaining pulverized material; it is also configured to send the pulverized material into the mulch cotton stalk sorter for sorting, thereby obtaining sorted material; Collect crushing image data of the crushed material, analyze the crushing image data, and determine the initial crushing effect evaluation value of the plastic film cotton stalk crusher based on the analysis results; Collect sorting image data of the sorted material, and determine whether to adjust the initial crushing effect evaluation value based on the sorting image data; When it is determined that the initial crushing effect evaluation value needs to be adjusted, the real-time sorting parameters of the plastic film cotton stalk sorter are collected, and the adjustment coefficient of the initial crushing effect evaluation value is determined according to the sorting image data and the real-time sorting parameters. The product of the adjustment coefficient and the initial crushing effect evaluation value is used as the final crushing effect evaluation value. The pulverizing effect level of the plastic film cotton stalk pulverizer is determined based on the final pulverizing effect evaluation value.

[0016] It is understandable that the above-mentioned evaluation system and method for the crushing effect of cotton stalk crushing and sorting equipment has the same beneficial effect, and will not be elaborated here. Attached Figure Description

[0017] Various other advantages and benefits will become apparent to those skilled in the art upon reading the following detailed description of preferred embodiments. The accompanying drawings are for illustrative purposes only and are not intended to limit the invention. Furthermore, the same reference numerals denote the same parts throughout the drawings. In the drawings: Figure 1 This is a structural block diagram of the crushing effect evaluation system for the cotton stalk crushing and sorting equipment provided in an embodiment of the present invention; Figure 2 A flowchart illustrating the method for evaluating the crushing effect of the cotton stalk crushing and sorting equipment provided in this embodiment of the invention; Figure 3 This is a front view of the cotton stalk shredder provided in an embodiment of the present invention; Figure 4 This is a cross-sectional view of the cotton stalk shredder provided in an embodiment of the present invention.

[0018] In the diagram: 100, Cotton stalk shredder; 110, Main base; 120, Drive assembly; 141, Feed hopper; 142, Feed roller; 1421, Feed trough; 143, Cutting tool; 144, Conveying device; 145, Lifting hydraulic cylinder; 200, Cotton stalk sorter; 300, Shredding evaluation module; 310, First collection layer; 320, Execution layer; 330, Second collection layer; 340, Judgment layer; 350, Adjustment layer; 360, Grade determination layer. Detailed Implementation

[0019] Exemplary embodiments of the present disclosure will now be described in more detail with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be implemented in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided to enable a more thorough understanding of the present disclosure and to fully convey the scope of the disclosure to those skilled in the art. It should be noted that, unless otherwise specified, embodiments and features in the embodiments of the present invention can be combined with each other. The present invention will now be described in detail with reference to the accompanying drawings and embodiments.

[0020] See Figure 1 , Figure 3-4 As shown in some embodiments of this application, this embodiment provides a crushing effect evaluation system for a plastic film cotton stalk crushing and sorting device, including: The system includes a cotton stalk crusher 100, a cotton stalk sorter 200, and a crushing evaluation module 300. The cotton stalk crusher 100 and the cotton stalk sorter 200 are interconnected via a discharge hopper. The crushing evaluation module 300 is connected to both the cotton stalk crusher 100 and the cotton stalk sorter 200. The crushing evaluation module 300 includes a first collection layer 310, an execution layer 320, a second collection layer 330, a judgment layer 340, an adjustment layer 350, and a grade determination layer 360. The first acquisition layer 310 is configured to acquire material information and initial image data of the material to be processed, and determine the crushing parameters of the mulch cotton stalk crusher 100 based on the material information and initial image data. The execution layer 320 is configured to drive the plastic film cotton stalk shredder 100 to shred the material to be processed with shredding parameters to obtain shredded material; it is also configured to send the shredded material into the plastic film cotton stalk sorter 200 for sorting to obtain sorted material. The second acquisition layer 330 is configured to acquire crushing image data of the crushed material, analyze the crushing image data, and determine the initial crushing effect evaluation value of the mulch cotton stalk crusher 100 based on the analysis results. The judgment layer 340 is configured to collect sorting image data of the sorted material and determine whether to adjust the initial crushing effect evaluation value based on the sorting image data; The adjustment layer 350 is configured to collect the real-time sorting parameters of the mulch cotton stalk sorter 200 when it is determined that the initial crushing effect evaluation value needs to be adjusted, and to determine the adjustment coefficient of the initial crushing effect evaluation value based on the sorting image data and the real-time sorting parameters, and to use the product of the adjustment coefficient and the initial crushing effect evaluation value as the final crushing effect evaluation value. The grading layer 360 is configured to determine the pulverization effect grade of the plastic film cotton stalk pulverizer 100 based on the final pulverization effect evaluation value.

[0021] In this embodiment, the cotton stalk sorting machine 200 is preferably the cotton stalk sorting machine 200 provided in the patent (publication (announcement) number: CN120421092A).

[0022] In this embodiment, the mulch cotton stalk shredder 100 includes a main base 110, a drive assembly 120, a rotating shaft, and a feeding assembly. The material to be processed enters from the feeding assembly. The drive assembly 120 and the feeding assembly are connected to the top of the main base 110. The rotating shaft is rotatably connected to the inside of the feeding assembly. The drive assembly 120 drives the rotating shaft to rotate. Cutters 143 are connected to the rotating shaft and the two opposite inner walls of the feeding assembly.

[0023] In this embodiment, the feeding assembly includes a feeding hopper 141, a feeding roller 142, and a lifting hydraulic cylinder 145. The top of the feeding hopper 141 is closed, while the side near the cutter 143 is open. The feeding roller 142 is embedded inside the feeding hopper 141, and several feeding slots 1421 are evenly distributed along the circumference of the feeding roller 142. The top of the piston rod of the lifting hydraulic cylinder 145 is connected to one side of the top of the feeding hopper 141, and the bottom of the lifting hydraulic cylinder 145 is connected to the main base 110. The lifting hydraulic cylinder 145 can drive the feeding roller 142 to move up and down within the feeding hopper 141. When the material to be processed enters the feeding hopper 141, the feeding roller 142, driven by the lifting hydraulic cylinder 145, can press the material into the feeding slots 1421. As the feeding roller 142 rotates, the material is conveyed into the feeding assembly and contacts the cutter 143, thus realizing the crushing process.

[0024] In this embodiment, the feeding assembly also includes a drive motor for driving the feeding roller 142 to rotate. The output shaft of the drive motor is fixedly connected to one end of the feeding roller 142. By operating the drive motor, the feeding roller 142 is driven to rotate stably and at a uniform speed, ensuring that the material can enter the feeding hopper 141 according to the preset rhythm and amount.

[0025] In this embodiment, the feeding assembly also includes a conveying device 144 disposed on one side of the feeding hopper 141 for conveying the material to be processed to the lower part of the feeding pressure roller 142. The conveying device 144 is preferably a belt conveyor.

[0026] In this embodiment, the drive assembly 120 and the tool 143 are preferably the drive assembly 120 and the tool 143 provided in the patent (publication (announcement) number: CN120421092A).

[0027] It is understood that the pulverization effect evaluation system for the cotton stalk pulverizing and sorting equipment provided by this invention can scientifically and accurately evaluate the pulverization effect of the equipment. Through comprehensive analysis of material information, image data, and real-time sorting parameters, the system can determine reasonable pulverization parameters to ensure the efficiency and accuracy of the pulverization process. Using image analysis technology to obtain pulverization index values ​​to determine the initial pulverization effect evaluation value can intuitively reflect the pulverization quality. Based on the sorting image data, it is determined whether to adjust the evaluation value and to determine the adjustment coefficient, making the evaluation results more consistent with the actual situation. Finally, the pulverization effect level is determined based on the evaluation value, providing a clear reference for equipment performance optimization and improvement.

[0028] Specifically, when determining the crushing parameters of the plastic film cotton stalk crusher 100 based on material information and initial image data, the following are included: The material information is analyzed to obtain the type of mulch film, thickness of mulch film, moisture content of material and feeding rate of material to be processed; Feature extraction was performed on the initial image data to obtain the cotton stalk length distribution characteristics and the continuous area characteristics of the plastic film mulch of the material to be processed; Material vector groups are constructed based on the type of mulch film, mulch film thickness, material moisture content, and feeding rate; The crushing parameters of the cotton stalk crusher 100 are determined based on the material vector group, the cotton stalk length distribution characteristics, and the continuous area characteristics of the plastic film.

[0029] Understandably, determining the crushing parameters through detailed analysis of material information and initial image data allows for a comprehensive consideration of the various characteristics of the material to be processed. Different types and thicknesses of plastic film affect the difficulty and required force of crushing; the moisture content of the material relates to its toughness and adhesion during crushing; and the feeding rate directly affects the efficiency and quality of crushing. The distribution characteristics of cotton stalk length and the area of ​​continuous plastic film sheets allow for a more intuitive understanding of the material's morphology and structure, thus enabling the development of crushing parameters that better fit the actual situation. In the process of crushing the material using the plastic film cotton stalk crusher 100, the accuracy of the crushing parameters is crucial. Appropriate crushing parameters ensure that the plastic film cotton stalks are thoroughly crushed, improving the crushing effect. Simultaneously, feeding the crushed material into the plastic film cotton stalk sorter 200 for sorting is a key step in further separating the effective components and impurities. The quality of the sorting process also affects the final evaluation of the crushing effect.

[0030] Specifically, when determining the crushing parameters of the cotton stalk crusher 100 based on the material vector set, cotton stalk length distribution characteristics, and continuous mulch film area characteristics, the following parameters are included: The material vector group is compared with the historical crushing group, and the basic crushing parameters of the mulch cotton stalk crusher 100 are determined based on the comparison results. The compensation coefficients for the basic crushing parameters are determined based on the cotton stalk length distribution characteristics and the continuous area characteristics of the plastic film, and the product of the compensation coefficients and the basic crushing parameters is used as the crushing parameters. Among them, when determining the basic crushing parameters of the mulch cotton stalk crusher 100 based on the comparison results, the following are included: If there is a historical material vector group in the historical crushing group that is the same as the material vector group, then the historical crushing parameters corresponding to the historical material vector group will be used as the basic crushing parameters. If there is no historical material vector group in the historical crushing group that is the same as the material vector group, then the basic crushing parameters are determined based on the material vector group.

[0031] In this embodiment, the crushing parameters refer to parameters such as the rotation speed, crushing time, and crushing pressure of the crushing blade 143.

[0032] Understandably, comparing material vector sets with historical pulverization sets to determine basic pulverization parameters allows us to draw upon past pulverization experience. If identical historical material vector sets exist, the corresponding historical pulverization parameters can be directly adopted, enabling quick and accurate determination of basic parameters and improving work efficiency. Conversely, when identical historical material vector sets do not exist, determining basic pulverization parameters based on the material vector sets ensures that the basic parameters are set according to the characteristics of the material being processed, thus providing a targeted approach.

[0033] Specifically, when determining the basic crushing parameters based on the material vector set, the following are included: The type and thickness of the plastic film are compared with a preset mapping table of crushing difficulty coefficients to determine the crushing difficulty coefficient of the plastic film. Obtain the standard difficulty value, standard moisture content, and standard feeding rate corresponding to the film pulverization difficulty coefficient, material moisture content, and feeding rate, respectively, and calculate the film pulverization difficulty deviation, moisture content deviation, and rate deviation. A comprehensive deviation index is determined based on the deviations in difficulty, moisture content, and rate of plastic film pulverization. The comprehensive deviation index is compared with the first comprehensive deviation index and the second comprehensive deviation index, and the basic crushing parameters are determined based on the comparison results; wherein, the first comprehensive deviation index is smaller than the second comprehensive deviation index; When the comprehensive deviation index is less than or equal to the first comprehensive deviation index, the basic crushing parameter is determined as the first crushing parameter; When the comprehensive deviation index is greater than the first comprehensive deviation index and less than or equal to the second comprehensive deviation index, the basic crushing parameter is determined as the second crushing parameter; When the comprehensive deviation index is greater than the second comprehensive deviation index, the basic crushing parameter is determined as the third crushing parameter.

[0034] In this embodiment, the preset pulverization difficulty coefficient mapping table is derived from a large amount of experimental data and actual production experience. It accurately reflects the pulverization difficulty corresponding to different types and thicknesses of plastic film. By comparing the type and thickness of plastic film with this mapping table, the pulverization difficulty coefficient of the plastic film can be determined quickly and accurately.

[0035] In this embodiment, the calculation process for the deviation of the difficulty of mulch film pulverization is as follows: First, obtain the standard difficulty value corresponding to the mulch film pulverization difficulty coefficient; then, subtract the current mulch film pulverization difficulty value from the standard difficulty value; finally, divide the difference by the standard difficulty value. The result is the deviation of the mulch film pulverization difficulty. The calculation process for the moisture content deviation is as follows: Obtain the standard moisture content corresponding to the material moisture content; subtract the standard moisture content from the current material moisture content; then, divide the difference by the standard moisture content. The final result is the moisture content deviation. The calculation process for the rate deviation is as follows: Obtain the standard feeding rate corresponding to the feeding rate; subtract the current feeding rate from the standard feeding rate; then, divide the difference by the standard feeding rate. The result is the rate deviation.

[0036] In this embodiment, the calculation process for the comprehensive deviation index involves first weighting the deviations in film pulverization difficulty, moisture content, and feeding rate, and then summing the weighted results to obtain the comprehensive deviation index. The weighting is determined based on the degree of influence of different factors on the pulverization effect. For example, the deviation in film pulverization difficulty may have a significant impact on the pulverization effect, thus it can be assigned a higher weight; while the impact of the feeding rate deviation is relatively small, so it can be assigned a lower weight. Calculating the comprehensive deviation index through weighted processing more accurately reflects the overall difference between the material characteristics and standard conditions.

[0037] Understandably, calculating these three deviations quantifies the differences between the current material to be processed and the standard conditions in terms of crushing difficulty, moisture content, and feeding rate. The comprehensive deviation index, obtained by combining these three deviations, more comprehensively reflects the impact of the material's characteristics on the crushing process. Determining the basic crushing parameters based on the comparison between the comprehensive deviation index and the first and second comprehensive deviation indices ensures that the basic crushing parameters are set more scientifically and rationally, thereby improving the crushing effect and efficiency of the cotton stalk crusher 100. Furthermore, subsequently determining the compensation coefficients for the basic crushing parameters based on the cotton stalk length distribution characteristics and the continuous area characteristics of the mulch film allows for further adjustment of the crushing parameters, making them more closely match the actual conditions of the material to be processed. This lays a solid foundation for accurately evaluating the crushing effect of the cotton stalk crushing and sorting equipment.

[0038] Specifically, when determining the compensation coefficients for basic crushing parameters based on the cotton stalk length distribution characteristics and the characteristics of the continuous area of ​​plastic film mulch, the following are included: The cotton stalk length distribution coefficient of the material to be treated is determined based on the cotton stalk length distribution characteristics. The mulch film area coefficient of the material to be treated is determined based on the characteristics of the continuous mulch film area. The cotton stalk length distribution coefficient and the cotton stalk length distribution coefficient threshold are compared respectively, and the plastic film contiguous area coefficient and the plastic film contiguous area coefficient threshold are compared respectively. The compensation coefficient of the basic crushing parameter is determined based on the comparison results. When the cotton stalk length distribution coefficient is greater than or equal to the cotton stalk length distribution coefficient threshold, and the plastic film mulch area coefficient is greater than or equal to the plastic film mulch area coefficient threshold, the compensation coefficient is determined as the first compensation coefficient. When the cotton stalk length distribution coefficient is greater than or equal to the cotton stalk length distribution coefficient threshold, and the mulch film area coefficient is less than the mulch film area coefficient threshold, the compensation coefficient is determined as the second compensation coefficient. When the cotton stalk length distribution coefficient is less than the cotton stalk length distribution coefficient threshold and the plastic film mulch area coefficient is greater than or equal to the plastic film mulch area coefficient threshold, the compensation coefficient is determined as the third compensation coefficient. When the cotton stalk length distribution coefficient is less than the cotton stalk length distribution coefficient threshold and the plastic film mulch area coefficient is less than the plastic film mulch area coefficient threshold, the compensation coefficient is determined to be the fourth compensation coefficient.

[0039] In this embodiment, the cotton stalk length distribution characteristic refers to the pattern and characteristics of the length distribution of cotton stalks in the material to be processed. It can be quantified and analyzed by extracting features from the initial image data and then using statistical methods and image processing techniques.

[0040] In this embodiment, when determining the cotton stalk length distribution coefficient of the material to be processed based on the cotton stalk length distribution characteristics, the extracted cotton stalk length data is first grouped and statistically analyzed. For example, the cotton stalk length is divided into different intervals, such as 0-10cm, 10-20cm, and 20-30cm. The number or proportion of cotton stalks in each interval is counted to form a distribution histogram of cotton stalk length. Then, the mean, variance, and other statistical quantities of the cotton stalk length are calculated based on this distribution histogram. Assuming that after statistical analysis, in a group of materials to be processed, the proportion of cotton stalks in the 0-10cm interval is 30%, the proportion in the 10-20cm interval is 50%, and the proportion in the 20-30cm interval is 20%, the calculated mean of the cotton stalk length is 13cm, and the variance is 25. Next, according to preset rules, the cotton stalk length distribution coefficient is determined based on these statistical quantities. If the rule stipulates that when the average cotton stalk length is 10-15cm and the variance is 20-30, the corresponding cotton stalk length distribution coefficient is 0.8, then according to the above calculation results, the cotton stalk length distribution coefficient of this group of materials to be processed is 0.8. Thus, through quantitative analysis of the cotton stalk length distribution characteristics, the cotton stalk length distribution coefficient can be determined more accurately.

[0041] In this embodiment, the feature of the continuous area of ​​the plastic film refers to the size and distribution pattern of the continuous area of ​​the plastic film in the material to be treated. This can also be obtained and analyzed by extracting features from the initial image data and using image processing techniques such as image segmentation and area calculation.

[0042] In this embodiment, when determining the mulch film area coefficient of the material to be processed based on the characteristics of the mulch film area, the first step is to identify and segment the mulch film areas in the image. Threshold segmentation, edge detection, and other methods can be used to separate the mulch film areas from the image. Then, the area of ​​each mulch film area is calculated, and the number or proportion of mulch film areas in different area intervals is statistically analyzed. For example, the mulch film area can be divided into intervals such as 0-100 square centimeters, 100-200 square centimeters, and 200-300 square centimeters, and the proportion of mulch film areas in each interval is statistically analyzed to form a distribution histogram of the mulch film area. Next, the mean, variance, and other statistical quantities of the mulch film area are calculated based on this distribution histogram. Assuming that statistical analysis shows, in a group of materials to be processed, the proportion of continuous plastic film areas in the 0-100 square centimeter range is 40%, in the 100-200 square centimeter range it is 45%, and in the 200-300 square centimeter range it is 15%, the calculated mean area of ​​continuous plastic film areas is 120 square centimeters, and the variance is 30. Then, according to preset rules, the continuous plastic film area coefficient is determined based on these statistical values. If the rule sets that when the mean area of ​​continuous plastic film areas is between 100-150 square centimeters and the variance is between 20-40, the corresponding continuous plastic film area coefficient is 0.7, then according to the above calculation results, the continuous plastic film area coefficient for this group of materials to be processed is 0.7. Through this quantitative analysis of the characteristics of continuous plastic film areas, the continuous plastic film area coefficient can be determined more accurately, thus providing accurate data support for determining the compensation coefficient of the basic crushing parameters. This allows the final crushing parameters to better adapt to the actual situation of the materials to be processed, improving the accuracy of the crushing effect evaluation of the plastic film cotton stalk crushing and sorting equipment.

[0043] Understandably, the compensation coefficients follow the order: First compensation coefficient > Second compensation coefficient > Third compensation coefficient > Fourth compensation coefficient. When both the cotton stalk length distribution coefficient and the plastic film area coefficient are large, it indicates that the cotton stalk length distribution and plastic film area of ​​the material to be processed pose a significant challenge to crushing. A larger compensation coefficient is needed to adjust the basic crushing parameters to ensure crushing effectiveness. For example, longer cotton stalks and larger areas of plastic film increase crushing difficulty; using the first compensation coefficient allows the crushing equipment to have stronger power and more suitable parameters to handle this situation. When the cotton stalk length distribution coefficient is large but the plastic film area coefficient is small, it means that the length of the cotton stalks presents a certain challenge for crushing, but the plastic film's continuity is relatively easier to handle. In this case, the second compensation coefficient is used to moderately adjust the basic crushing parameters. When the cotton stalk length distribution coefficient is small but the plastic film area coefficient is large, the situation is the opposite: the cotton stalk length is easier to handle, but the larger plastic film continuity increases the crushing difficulty; the third compensation coefficient is used for adjustment. When both the cotton stalk length distribution coefficient and the plastic film lining area coefficient are relatively small, it indicates that these two characteristics of the material to be processed have a smaller impact on the crushing process, requiring the smallest compensation coefficient, i.e., the fourth compensation coefficient. This avoids over-adjustment of the crushing parameters, ensuring the stability and efficiency of the crushing process. By determining the compensation coefficient based on different characteristics, the crushing parameters can be adapted more flexibly and accurately to the actual conditions of the material to be processed, further improving the crushing effect and evaluation accuracy of the plastic film cotton stalk crushing and sorting equipment, providing strong support for equipment performance optimization and actual production.

[0044] Specifically, when analyzing the pulverized image data and determining the initial pulverization effect evaluation value of the plastic film cotton stalk pulverizer 100 based on the analysis results, the following is included: Edge detection combined with image segmentation algorithm is used to analyze the crushed image data and extract the crushing index values ​​of the crushed material. The crushing index values ​​include cotton stalk breakage rate, number of connected components, cotton stalk length-to-width ratio, membrane area ratio and size uniformity. Obtain the preset breakage rate and preset number of connected components corresponding to the cotton stalk breakage rate and the number of connected components; The difference between the cotton stalk breakage rate and the preset breakage rate, and the difference between the number of connected components and the preset number of connected components are obtained respectively, and recorded as the breakage rate difference and the connected component difference respectively. Obtain the preset length-to-width ratio, preset membrane area ratio, and preset size uniformity corresponding to the cotton stalk length-to-width ratio, membrane area ratio, and size uniformity; The ratios of cotton stalk length-to-width ratio to preset length-to-width ratio, membrane area ratio to preset membrane area ratio, and dimensional uniformity to preset dimensional uniformity are obtained respectively, and are recorded as length-to-width ratio, membrane area ratio, and dimensional uniformity ratio respectively. The initial crushing effect evaluation value of the plastic film cotton stalk crusher 100 is determined based on the difference in fracture rate, the difference in connected regions, the ratio of length to width, the ratio of membrane area, and the ratio of dimensional uniformity.

[0045] In this embodiment, the cotton stalk breakage rate refers to the proportion of broken cotton stalks to the total number of cotton stalks in the pulverized material. It is an important indicator for measuring the degree of cotton stalk pulverization; a higher breakage rate means the cotton stalks are more thoroughly broken during the pulverization process. The number of connected regions refers to the number of interconnected areas in the pulverized material; a higher number of connected regions indicates more dispersed pulverization. The cotton stalk length-to-width ratio reflects the shape characteristics of the pulverized cotton stalks; a suitable length-to-width ratio helps improve subsequent sorting efficiency. The film area ratio refers to the proportion of the area of ​​the pulverized plastic film fragments to the total material area; this ratio reflects the degree of pulverization of the plastic film during the pulverization process. Size uniformity indicates the consistency of the size of the pulverized material; higher size uniformity means the pulverized material is closer in size, which is important for improving the accuracy of pulverization effect evaluation and the sorting efficiency of the equipment.

[0046] In this embodiment, the crushing image refers to an image of the material after crushing, captured by a high-speed camera installed inside the discharge hopper. The high-speed camera can capture the clear state of the material at the moment of discharge, providing an accurate data source for subsequent analysis. When analyzing the crushing image data, edge detection combined with image segmentation algorithms can accurately identify the contours and boundaries of the crushed material, thereby accurately extracting various crushing index values.

[0047] In this embodiment, when determining the initial crushing effect evaluation value of the cotton stalk crusher 100 based on the fracture rate difference, connected region difference, aspect ratio ratio, membrane area ratio, and dimensional uniformity ratio, firstly, each indicator is assigned a corresponding weight. Since different crushing indicators have varying degrees of influence on the overall crushing effect, the weight must be determined based on actual experimental data, experience, or industry standards. For example, the cotton stalk fracture rate and membrane area ratio have a significant impact, each assigned a weight of 0.3; the number of connected regions and dimensional uniformity are important, each assigned a weight of 0.2; and the cotton stalk aspect ratio has a slightly smaller impact, assigned a weight of 0.1. Next, the fracture rate difference and connected region difference are normalized to ensure they are within the same order of magnitude as other ratios, facilitating subsequent calculations. A common linear normalization formula can be used to map the differences to the 0-1 interval. Then, the normalized fracture rate difference and connected component difference are multiplied by their corresponding weights of 0.3 and 0.2, respectively, to obtain weighted values. Similarly, the aspect ratio, membrane area ratio, and dimensional uniformity ratio are multiplied by their corresponding weights of 0.1, 0.3, and 0.2, respectively, to obtain weighted values. Finally, the five weighted values ​​are summed, and the total is the initial crushing effect evaluation value. For example, assuming the normalized fracture rate difference is 0.8, the connected component difference is 0.7, the aspect ratio is 0.9, the membrane area ratio is 0.85, and the dimensional uniformity ratio is 0.9, the calculated initial crushing effect evaluation value is 0.905. This calculation process comprehensively considers the influence of various crushing indicators on the crushing effect, obtaining a more accurate initial crushing effect evaluation value, providing a strong basis for further optimizing the performance of the cotton stalk crushing and sorting equipment.

[0048] Specifically, when determining whether to adjust the initial crushing effect evaluation value based on sorting image data, this includes: The sorting image data is analyzed to obtain the impurity ratio of the sorted material; The impurity ratio is compared with the impurity ratio threshold, and the initial pulverization effect evaluation value is adjusted based on the comparison results. If the impurity ratio is greater than or equal to the impurity ratio threshold, the initial pulverization effect evaluation value will be adjusted. Otherwise, the initial pulverization effect assessment value will not be adjusted.

[0049] In this embodiment, the sorting image refers to the image of the material after sorting, taken by a high-definition camera at the discharge port of the cotton stalk sorter 200 during the sorting process. The high-definition camera can clearly capture the state of the sorted material, providing reliable data support for judging the proportion of impurities.

[0050] Understandably, when analyzing sorted image data, image recognition and classification algorithms can be used to distinguish impurities from effective components in the material, thereby accurately calculating the impurity ratio. Assuming that after analysis, in a group of sorted materials, the number of impurities is 20 out of a total of 100, then the impurity ratio of that group of sorted materials is 20%. If the impurity ratio threshold is set to 15%, since 20% is greater than 15%, it is determined that the initial crushing effect evaluation value needs to be adjusted. If the impurity ratio is less than the impurity ratio threshold, it indicates that the sorting effect is good, and the initial crushing effect evaluation value basically reflects the actual situation; in this case, no adjustment is needed.

[0051] Specifically, when determining the adjustment coefficient for the initial crushing effect evaluation value based on sorting image data and real-time sorting parameters, the following are included: The real-time sorting parameters are analyzed to obtain the real-time sorting speed and real-time sorting flow rate of the 200-type cotton stalk sorter. The sorting influencing factors are determined based on real-time sorting speed, real-time sorting flow rate, and impurity ratio. The sorting impact factor is compared with the first sorting impact factor and the second sorting impact factor, and the adjustment coefficient is determined based on the comparison results; wherein, the first sorting impact factor is smaller than the second sorting impact factor; When the sorting impact factor is less than or equal to the first sorting impact factor, the adjustment coefficient and the first adjustment coefficient are determined. When the sorting impact factor is greater than the first sorting impact factor and less than or equal to the second sorting impact factor, the adjustment coefficient is determined to be the second adjustment coefficient. When the sorting impact factor is greater than the second sorting impact factor, the adjustment coefficient is determined to be the third adjustment coefficient.

[0052] In this embodiment, when determining the sorting influence factor based on real-time sorting speed, real-time sorting flow rate, and impurity ratio: First, the three factors are quantified to ensure they fall within a comparable and calculable numerical range, such as mapping them to the 0-1 interval. Next, different weights are assigned to each factor, determined based on extensive experimental data, practical experience, or industry standards. For example, the weights for real-time sorting speed and impurity ratio are assumed to be 0.4, 0.3, and 0.3, respectively. Then, the quantified factors are multiplied by their corresponding weights to obtain weighted values. For instance, if the quantified real-time sorting speed is 0.8, the real-time sorting flow rate is 0.7, and the impurity ratio is 0.6, the corresponding weighted values ​​are 0.32, 0.21, and 0.18, respectively. Finally, the three weighted values ​​are summed to obtain the sorting influence factor; in the example above, the sorting influence factor is 0.71. This calculation process comprehensively considers the impact of the three factors on the sorting process, accurately determines the sorting influencing factors, and provides a reliable basis for determining the adjustment coefficient of the initial crushing effect evaluation value, making the crushing effect evaluation of the plastic film cotton stalk crushing and sorting equipment more accurate and scientific.

[0053] It is understandable that the adjustment coefficients should be in the order of first adjustment coefficient < second adjustment coefficient < third adjustment coefficient. When the sorting influencing factor is small, it indicates that factors such as real-time sorting speed, real-time sorting flow rate, and impurity ratio have a relatively small negative impact on the sorting effect, and the initial crushing effect assessment value is not significantly affected by the sorting process. In this case, a smaller first adjustment coefficient is used to fine-tune the initial crushing effect assessment value to make it more closely reflect the actual situation. When the sorting influencing factor is in the middle range, it means that these factors have a certain degree of influence on the sorting effect, and the second adjustment coefficient is needed to moderately adjust the initial crushing effect assessment value to ensure that the assessment value can more accurately reflect the actual performance of the equipment. When the sorting influencing factor is large, it indicates that factors such as real-time sorting speed, real-time sorting flow rate, and impurity ratio seriously affect the sorting effect, and the initial crushing effect assessment value deviates significantly from the actual situation. In this case, a larger third adjustment coefficient is used to make a larger adjustment to the initial crushing effect assessment value, thereby making the assessment result more reliable and accurate. By determining appropriate adjustment coefficients according to different sorting influencing factors, the crushing effect evaluation system of the cotton stalk crushing and sorting equipment can be further optimized.

[0054] Specifically, when determining the pulverizing effect level of the plastic film cotton stalk pulverizer 100 based on the final pulverizing effect evaluation value, the following are included: The final crushing effect evaluation value is compared with the first crushing effect evaluation value and the second crushing effect evaluation value. The crushing effect level of the mulch cotton stalk crusher 100 is determined according to the comparison results; wherein, the first crushing effect evaluation value is less than the second crushing effect evaluation value. When the final pulverization effect evaluation value is less than or equal to the first pulverization effect evaluation value, the pulverization effect level is determined to be low. When the final grinding effect evaluation value is greater than the first grinding effect evaluation value and less than or equal to the second grinding effect evaluation value, the grinding effect level is determined to be medium. When the final pulverization effect evaluation value is greater than the second pulverization effect evaluation value, the pulverization effect level is determined to be high.

[0055] Understandably, different crushing effect levels correspond to different working states and performance characteristics of the cotton stalk crusher 100. A low crushing effect level indicates potential problems with the equipment, such as severe wear of the blades 143, insufficient motor power, or damage to the internal structure of the crushing chamber. A comprehensive inspection and repair are necessary to improve the crushing effect. A medium crushing effect level indicates that the equipment can basically meet daily production needs, but there is still room for improvement. Minor adjustments and optimizations, such as adjusting crushing parameters and cleaning the crushing chamber, can further enhance the crushing effect. A high crushing effect level indicates that the equipment is in good working condition and can efficiently complete the crushing task. In this case, continued normal operation and regular maintenance are recommended to extend the equipment's lifespan. By clearly defining the crushing effect level, operators can take appropriate measures based on actual conditions to better manage and use the cotton stalk crusher 100, thereby improving production efficiency and product quality.

[0056] See Figure 2 As shown in some embodiments of this application, this embodiment provides a method for evaluating the crushing effect of a plastic film cotton stalk crushing and sorting device, including the following steps: S100: Collect material information and initial image data of the material to be processed, and determine the crushing parameters of the plastic film cotton stalk crusher based on the material information and initial image data; S200: The pulverizing parameters are used to drive the mulch film cotton stalk pulverizer to pulverize the material to be processed to obtain pulverized material; it is also configured to send the pulverized material into the mulch film cotton stalk sorter for sorting to obtain sorted material; S300: Collect crushing image data of the crushed material, analyze the crushing image data, and determine the initial crushing effect evaluation value of the plastic film cotton stalk crusher based on the analysis results; S400: Collect sorting image data of the sorted material, and determine whether to adjust the initial crushing effect evaluation value based on the sorting image data; S500: When it is determined that the initial crushing effect evaluation value needs to be adjusted, the real-time sorting parameters of the plastic film cotton stalk sorter are collected, and the adjustment coefficient of the initial crushing effect evaluation value is determined according to the sorting image data and the real-time sorting parameters. The product of the adjustment coefficient and the initial crushing effect evaluation value is used as the final crushing effect evaluation value. S600: Determine the pulverization effect level of the plastic film cotton stalk pulverizer based on the final pulverization effect evaluation value.

[0057] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program goods. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program goods embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0058] This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program goods according to embodiments of this application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart... Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0059] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0060] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0061] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit it. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art should understand that modifications or equivalent substitutions can still be made to the specific implementation of the present invention. Any modifications or equivalent substitutions that do not depart from the spirit and scope of the present invention should be covered within the scope of protection of the claims of the present invention.

Claims

1. A pulverization effect evaluation system of a mulch cotton stalk pulverizing and sorting apparatus, characterized by, The system comprises: a mulch cotton stalk crusher, a mulch cotton stalk sorting machine and a crushing evaluation module; the mulch cotton stalk crusher and the mulch cotton stalk sorting machine are connected to each other through a discharge hopper; the crushing evaluation module is connected to the mulch cotton stalk crusher and the mulch cotton stalk sorting machine, and the crushing evaluation module comprises a first acquisition layer, an execution layer, a second acquisition layer, a judgment layer, an adjustment layer and a grade determination layer; the first acquisition layer is configured to acquire material information and initial image data of the material to be processed, and to determine crushing parameters of the mulch cotton stalk crusher according to the material information and the initial image data; the execution layer is configured to drive the mulch cotton stalk crusher to crush the material to be processed according to the crushing parameters, to obtain crushed material, and to send the crushed material into the mulch cotton stalk sorting machine for sorting, to obtain sorted material; the second acquisition layer is configured to acquire crushing image data of the crushed material, to analyze the crushing image data, and to determine an initial crushing effect evaluation value of the mulch cotton stalk crusher based on the analysis result; the judgment layer is configured to acquire sorting image data of the sorted material, and to determine whether to adjust the initial crushing effect evaluation value according to the sorting image data; the adjustment layer is configured to, when it is determined to adjust the initial crushing effect evaluation value, acquire real-time sorting parameters of the mulch cotton stalk sorting machine, to determine an adjustment coefficient of the initial crushing effect evaluation value according to the sorting image data and the real-time sorting parameters, and to take a product value of the adjustment coefficient and the initial crushing effect evaluation value as a final crushing effect evaluation value; the grade determination layer is configured to determine a crushing effect grade of the mulch cotton stalk crusher according to the final crushing effect evaluation value.

2. The pulverization effect evaluation system of the mulch film and cotton stalk pulverizing and sorting apparatus according to claim 1, characterized by, When the crushing parameters of the mulch cotton stalk crusher are determined according to the material information and the initial image data, the method comprises: analyzing the material information to obtain the mulch type, the mulch thickness, the material moisture content and the feeding rate of the material to be processed; extracting features from the initial image data to obtain the cotton stalk length distribution characteristics and the mulch continuous piece area characteristics of the material to be processed; constructing a material vector group based on the mulch type, the mulch thickness, the material moisture content and the feeding rate; determining the crushing parameters of the mulch cotton stalk crusher according to the material vector group, the cotton stalk length distribution characteristics and the mulch continuous piece area characteristics.

3. The pulverization effect evaluation system of the mulch film and cotton stalk pulverizing and sorting apparatus according to claim 2, characterized by, When the crushing parameters of the mulch cotton stalk crusher are determined according to the material vector group, the cotton stalk length distribution characteristics and the mulch continuous piece area characteristics, the method comprises: comparing the material vector group with a historical crushing group to determine the basic crushing parameters of the mulch cotton stalk crusher according to the comparison result; determining a compensation coefficient of the basic crushing parameters according to the cotton stalk length distribution characteristics and the mulch continuous piece area characteristics, and taking a product value of the compensation coefficient and the basic crushing parameters as the crushing parameters; wherein, when the basic crushing parameters of the mulch cotton stalk crusher are determined according to the comparison result, the method comprises: If there is a historical material vector group identical to the material vector group in the historical crushing group, a historical crushing parameter corresponding to the historical material vector group is taken as the basic crushing parameter; If there is no historical material vector group identical to the material vector group in the historical crushing group, the basic crushing parameter is determined according to the material vector group.

4. The pulverization effect evaluation system of the mulch film and cotton stalk pulverizing and sorting apparatus according to claim 3, characterized by, When the basic crushing parameter is determined according to the material vector group, the following steps are included: The mulch type and mulch thickness are compared with a preset crushing difficulty coefficient mapping table to determine a mulch crushing difficulty coefficient; Standard difficulty values, standard moisture contents and standard feeding rates corresponding to the mulch crushing difficulty coefficient, the material moisture content and the feeding rate are respectively obtained, and a mulch crushing difficulty deviation degree, a moisture content deviation degree and a rate deviation degree are calculated; A comprehensive deviation index is determined based on the mulch crushing difficulty deviation degree, the moisture content deviation degree and the rate deviation degree; The comprehensive deviation index is compared with a first comprehensive deviation index and a second comprehensive deviation index, and the basic crushing parameter is determined according to the comparison result; wherein the first comprehensive deviation index is smaller than the second comprehensive deviation index; When the comprehensive deviation index is smaller than or equal to the first comprehensive deviation index, the basic crushing parameter is determined as a first crushing parameter; When the comprehensive deviation index is greater than the first comprehensive deviation index and smaller than or equal to the second comprehensive deviation index, the basic crushing parameter is determined as a second crushing parameter; When the comprehensive deviation index is greater than the second comprehensive deviation index, the basic crushing parameter is determined as a third crushing parameter.

5. The pulverization effect evaluation system of the mulch film and cotton stalk pulverizing and sorting apparatus according to claim 4, characterized by, When the compensation coefficient of the basic crushing parameter is determined according to the cotton stalk length distribution characteristics and the mulch patch area characteristics, the following steps are included: The cotton stalk length distribution coefficient of the material to be processed is determined according to the cotton stalk length distribution characteristics; The mulch patch area coefficient of the material to be processed is determined according to the mulch patch area characteristics; The cotton stalk length distribution coefficient is compared with a cotton stalk length distribution coefficient threshold value, and the mulch patch area coefficient is compared with a mulch patch area coefficient threshold value, and the compensation coefficient of the basic crushing parameter is determined according to the comparison result; When the cotton stalk length distribution coefficient is greater than or equal to the cotton stalk length distribution coefficient threshold value, and the mulch patch area coefficient is greater than or equal to the mulch patch area coefficient threshold value, the compensation coefficient is determined as a first compensation coefficient; When the cotton stalk length distribution coefficient is greater than or equal to the cotton stalk length distribution coefficient threshold value, and the mulch patch area coefficient is smaller than the mulch patch area coefficient threshold value, the compensation coefficient is determined as a second compensation coefficient; When the cotton stalk length distribution coefficient is smaller than the cotton stalk length distribution coefficient threshold value, and the mulch patch area coefficient is greater than or equal to the mulch patch area coefficient threshold value, the compensation coefficient is determined as a third compensation coefficient; When the cotton stalk length distribution coefficient is smaller than the cotton stalk length distribution coefficient threshold value, and the mulch patch area coefficient is smaller than the mulch patch area coefficient threshold value, the compensation coefficient is determined as a fourth compensation coefficient.

6. The pulverization effect evaluation system of the mulch film and cotton stalk pulverizing and sorting apparatus according to claim 5, wherein When the initial crushing effect evaluation value of the mulch cotton stalk crusher is determined based on the analysis result of the crushing image data, the method comprises the following steps: The crushing image data is analyzed by using edge detection combined with image segmentation algorithm to extract the crushing index value of the crushed material; wherein the crushing index value comprises cotton stalk breaking rate, connected domain number, cotton stalk length-width ratio, film area ratio and size uniformity; The preset breaking rate and the preset connected domain number corresponding to the cotton stalk breaking rate and the connected domain number are obtained; The difference between the cotton stalk breaking rate and the preset breaking rate, and the difference between the connected domain number and the preset connected domain number are obtained respectively, and are recorded as breaking rate difference and connected domain difference respectively; The preset length-width ratio, the preset film area ratio and the preset size uniformity corresponding to the cotton stalk length-width ratio, the film area ratio and the size uniformity are obtained; The ratio of the cotton stalk length-width ratio to the preset length-width ratio, the ratio of the film area ratio to the preset film area ratio, and the ratio of the size uniformity to the preset size uniformity are obtained respectively, and are recorded as length-width ratio, film area ratio and size uniformity ratio respectively; The initial crushing effect evaluation value of the mulch cotton stalk crusher is determined according to the breaking rate difference, the connected domain difference, the length-width ratio, the film area ratio and the size uniformity ratio.

7. The pulverization effect evaluation system of the mulch film and cotton stalk pulverizing and sorting apparatus according to claim 6, characterized by, When it is determined whether to adjust the initial crushing effect evaluation value according to the sorting image data, the method comprises the following steps: The sorting image data is analyzed to obtain the impurity proportion of the sorted material; The impurity proportion is compared with the impurity proportion threshold value, and it is determined whether to adjust the initial crushing effect evaluation value according to the comparison result; If the impurity proportion is greater than or equal to the impurity proportion threshold value, it is determined to adjust the initial crushing effect evaluation value; Otherwise, it is determined not to adjust the initial crushing effect evaluation value.

8. The pulverization effect evaluation system of the mulch film and cotton stalk pulverizing and sorting apparatus according to claim 7, characterized by, When the adjustment coefficient of the initial crushing effect evaluation value is determined according to the sorting image data and the real-time sorting parameter, the method comprises the following steps: The real-time sorting parameter is analyzed to obtain the real-time sorting speed and the real-time sorting flow of the mulch cotton stalk sorting machine; The sorting influence factor is determined according to the real-time sorting speed, the real-time sorting flow and the impurity proportion; The sorting influence factor is compared with the first sorting influence factor and the second sorting influence factor, and the adjustment coefficient is determined according to the comparison result; wherein the first sorting influence factor is less than the second sorting influence factor; When the sorting influence factor is less than or equal to the first sorting influence factor, the adjustment coefficient is determined as the first adjustment coefficient; When the sorting influence factor is greater than the first sorting influence factor and less than or equal to the second sorting influence factor, the adjustment coefficient is determined as the second adjustment coefficient; When the sorting influence factor is greater than the second sorting influence factor, the adjustment coefficient is determined as the third adjustment coefficient.

9. The pulverization effect evaluation system of the mulch film and cotton stalk pulverizing and sorting apparatus according to claim 8, characterized by, When the final crushing effect evaluation value is used to determine the crushing effect grade of the mulch cotton stalk crusher, the method comprises the following steps: The final crushing effect evaluation value is compared with the first crushing effect evaluation value and the second crushing effect evaluation value, and the crushing effect grade of the mulch cotton stalk crusher is determined according to the comparison result; wherein the first crushing effect evaluation value is less than the second crushing effect evaluation value; When the final crushing effect evaluation value is less than or equal to the first crushing effect evaluation value, it is determined that the crushing effect grade is low; When the final crushing effect evaluation value is greater than the first crushing effect evaluation value and less than or equal to the second crushing effect evaluation value, it is determined that the crushing effect grade is medium; When the final crushing effect evaluation value is greater than the second crushing effect evaluation value, it is determined that the crushing effect grade is high.

10. A method for evaluating the crushing effect of a mulch cotton stalk crushing and sorting device, applied to the crushing effect evaluation system of the mulch cotton stalk crushing and sorting device according to any one of claims 1-9, characterized in that, Comprise: Collecting material information and initial image data of the material to be processed, and determining the crushing parameters of the mulch cotton stalk crusher according to the material information and the initial image data; The crushing parameters are used to drive the mulch cotton stalk crusher to crush the material to be processed, and the crushed material is obtained; the crushed material is also configured to be sent to the mulch cotton stalk separator for separation, and the separated material is obtained; Collecting crushing image data of the crushed material, and analyzing the crushing image data, and determining the initial crushing effect evaluation value of the mulch cotton stalk crusher based on the analysis result; Collecting the separation image data of the separated material, and determining whether to adjust the initial crushing effect evaluation value according to the separation image data; When it is determined to adjust the initial crushing effect evaluation value, the real-time separation parameters of the mulch cotton stalk separator are collected, and the adjustment coefficient of the initial crushing effect evaluation value is determined according to the separation image data and the real-time separation parameters, and the product value of the adjustment coefficient and the initial crushing effect evaluation value is taken as the final crushing effect evaluation value; The crushing effect grade of the mulch cotton stalk crusher is determined according to the final crushing effect evaluation value.

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