Seed and peel separation method of torreya grandis

Abstract

The invention relates to the technical field of seed and peel separation, and discloses a torreya grandis seed and peel separation method which comprises the following steps: determining torreya grandis to be screened, and performing grouping treatment on the torreya grandis to be screened according to a length interval to obtain a torreya grandis group to be separated; collecting physical characteristic data of the to-be-separated Chinese torreya group, analyzing the physical characteristic data, and determining the initial crushing strength of the to-be-separated Chinese torreya group based on an analysis result; carrying out crushing separation test on the to-be-separated torreya grandis group with the initial crushing force by adopting shell breaking equipment, collecting test data after the crushing separation test, and judging whether the initial crushing force is adjusted or not according to the test data; and if yes, actual operation parameters of the shell breaking equipment are collected, the initial breaking strength is adjusted according to the actual operation parameters, and the final breaking strength is obtained. The Chinese torreya seed and peel separation efficiency and accuracy are improved, and the breakage rate of kernels is reduced.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of seed skin separation, in particular to a seed skin separation method of torreya grandis. BACKGROUND

[0002] Torreya grandis is a kind of precious nuts, and its fruit is composed of a hard shell and an inner kernel. In the traditional processing of torreya grandis, the separation of seed skin is an important and tedious step.

[0003] During the seed skin separation process of torreya grandis, the torreya grandis fruits usually need to be pretreated, such as washing and drying, to ensure the smooth progress of the subsequent separation steps. Then, specific mechanical devices or manual tools are used to apply appropriate force to the torreya grandis fruits to separate the shell from the kernel. The key in this process is to control the force and method of separation to avoid damaging the kernel while ensuring the effective removal of the seed skin.

[0004] However, the existing seed skin separation methods have many shortcomings. For example, traditional mechanical devices often have difficulty in accurately controlling the separation force, which can easily cause kernel damage and affect the quality and value of the product. Although manual tool separation can reduce kernel damage to some extent, it is low in efficiency and cannot meet the needs of large-scale production.

[0005] Therefore, it is necessary to design a seed skin separation method of torreya grandis to solve the problems in the current technology. SUMMARY

[0006] In view of this, the present application provides a seed skin separation method of torreya grandis, aiming to develop an efficient and non-destructive seed skin separation method of torreya grandis.

[0007] The present application provides a seed skin separation method of torreya grandis, comprising:

[0008] Determine the to-be-screened torreya grandis, group the to-be-screened torreya grandis according to length intervals, and obtain a to-be-separated torreya grandis group;

[0009] Collect physical property data of the to-be-separated torreya grandis group, analyze the physical property data, and determine the initial breaking force of the to-be-separated torreya grandis group based on the analysis result;

[0010] Use the breaking shell equipment to break and separate the to-be-separated torreya grandis group at the initial breaking force, collect test data after the breaking and separation test, and determine whether to adjust the initial breaking force according to the test data;

[0011] If yes, collect the actual running parameters of the breaking shell equipment, and adjust the initial breaking force according to the actual running parameters to obtain the final breaking force.

[0012] Further, according to the length interval, the to-be-screened Chinese pine nuts are grouped, and when the to-be-separated Chinese pine nut group is obtained, the method comprises:

[0013] The first length interval, the second length interval and the third length interval are set;

[0014] The to-be-screened Chinese pine nuts with lengths in the first length interval are divided into a first to-be-separated Chinese pine nut group;

[0015] The to-be-screened Chinese pine nuts with lengths in the second length interval are divided into a second to-be-separated Chinese pine nut group;

[0016] The to-be-screened Chinese pine nuts with lengths in the third length interval are divided into a third to-be-separated Chinese pine nut group.

[0017] Further, the physical characteristic data is analyzed, and based on the analysis result, the initial crushing intensity of the to-be-separated Chinese pine nut group is determined, and the method comprises:

[0018] The physical characteristic data is analyzed to obtain a shell thickness characteristic value, a shell hardness characteristic value, a water content characteristic value and a shell kernel combination tightness characteristic value of the to-be-separated Chinese pine nut group;

[0019] The conventional crushing intensity of the to-be-separated Chinese pine nut group is determined according to the shell thickness characteristic value;

[0020] Whether the conventional crushing intensity is optimized is determined according to the shell hardness characteristic value;

[0021] If yes, an optimization characteristic group is constructed according to the water content characteristic value and the shell kernel combination tightness characteristic value, an optimization coefficient of the conventional crushing intensity is determined according to the optimization characteristic group, and a product value of the optimization coefficient and the conventional crushing intensity is taken as the initial crushing intensity.

[0022] Further, when the conventional crushing intensity of the to-be-separated Chinese pine nut group is determined according to the shell thickness characteristic value, the method comprises:

[0023] The shell thickness characteristic value is compared with a first shell thickness characteristic value and a second shell thickness characteristic value, and the conventional crushing intensity of the to-be-separated Chinese pine nut group is determined according to the comparison result; wherein the first shell thickness characteristic value is smaller than the second shell thickness characteristic value;

[0024] When the shell thickness characteristic value is smaller than or equal to the first shell thickness characteristic value, the conventional crushing intensity of the to-be-separated Chinese pine nut group is determined as a first crushing intensity;

[0025] determining the conventional breaking intensity of the group of the Chinese torreya nuts to be separated as a second breaking intensity when the shell thickness characteristic value is greater than the first shell thickness characteristic value and less than or equal to the second shell thickness characteristic value, the second breaking intensity being greater than the first breaking intensity;

[0026] determining the conventional breaking intensity of the group of the Chinese torreya nuts to be separated as a third breaking intensity when the shell thickness characteristic value is greater than the second shell thickness characteristic value, the third breaking intensity being greater than the second breaking intensity.

[0027] Further, when judging whether to optimize the conventional breaking intensity according to the shell hardness characteristic value, the method comprises:

[0028] obtaining a shell hardness standard value corresponding to the shell hardness characteristic value, and calculating a ratio of the shell hardness characteristic value and the shell hardness standard value, denoted as a shell hardness ratio;

[0029] comparing the shell hardness ratio with a shell hardness ratio threshold value, and judging whether to optimize the conventional breaking intensity according to a comparison result;

[0030] determining not to optimize the conventional breaking intensity when the shell hardness ratio is within the shell hardness ratio threshold value range;

[0031] determining to optimize the conventional breaking intensity when the shell hardness ratio is outside the shell hardness ratio threshold value range.

[0032] Further, when determining the optimization coefficient of the conventional breaking intensity according to the optimization characteristic group, the method comprises:

[0033] comparing the optimization characteristic group with a historical optimization group, and determining the optimization coefficient of the conventional breaking intensity according to a comparison result;

[0034] when there is a historical optimization characteristic group identical to the optimization characteristic group in the historical optimization group, taking a historical optimization coefficient corresponding to the historical optimization characteristic group as the optimization coefficient;

[0035] when there is no historical optimization characteristic group identical to the optimization characteristic group in the historical optimization group, calculating a similarity of the historical optimization group and each historical optimization characteristic group, obtaining a highest similarity, and determining the optimization coefficient according to the highest similarity.

[0036] Further, when determining the optimization coefficient according to the highest similarity, the method comprises:

[0037] comparing the highest similarity with a similarity threshold value, and determining the optimization coefficient according to a comparison result;

[0038] when the highest similarity is greater than or equal to the similarity threshold, taking the historical optimization coefficient corresponding to the highest similarity as the optimization coefficient;

[0039] when the highest similarity is less than the similarity threshold, calculating a difference between the highest similarity and the similarity threshold, denoted as a similarity difference;

[0040] comparing the similarity difference with a first similarity difference and a second similarity difference, and determining the optimization coefficient according to a comparison result; wherein the first similarity difference is less than the second similarity difference;

[0041] when the similarity difference is less than or equal to the first similarity difference, determining the optimization coefficient as a first optimization coefficient;

[0042] when the similarity difference is greater than the first similarity difference and less than or equal to the second similarity difference, determining the optimization coefficient as a second optimization coefficient, the second optimization coefficient being less than the first optimization coefficient;

[0043] when the similarity difference is greater than the second similarity difference, determining the optimization coefficient as a third optimization coefficient, the third optimization coefficient being less than the second optimization coefficient.

[0044] Further, when determining whether to adjust the initial crushing intensity according to the test data, the method comprises:

[0045] parsing the test data to obtain a whole kernel rate of the group of Chinese torreya nuts to be separated;

[0046] comparing the whole kernel rate with a preset whole kernel rate threshold, and determining whether to adjust the initial crushing intensity according to a comparison result;

[0047] when the whole kernel rate is greater than or equal to the preset whole kernel rate threshold, determining not to adjust the initial crushing intensity;

[0048] when the whole kernel rate is less than the preset whole kernel rate threshold, determining to adjust the initial crushing intensity.

[0049] Further, when adjusting the initial crushing intensity according to the actual operation parameter to obtain a final crushing intensity, the method comprises:

[0050] parsing the actual operation parameter to obtain an actual crushing frequency and an actual crushing time of the shell breaking equipment;

[0051] determining a separation influence factor of the group of Chinese torreya nuts to be separated according to the actual crushing frequency and the actual crushing time;

[0052] According to the separation influence factor, an adjustment coefficient of the initial crushing intensity is determined, and a product value of the adjustment coefficient and the initial crushing intensity is taken as the final crushing intensity.

[0053] Further, when the adjustment coefficient of the initial crushing intensity is determined according to the separation influence factor, the method comprises the following steps:

[0054] The separation influence factor is compared with a first separation influence factor and a second separation influence factor, and an adjustment coefficient of the initial crushing intensity is determined according to a comparison result; wherein the first separation influence factor is smaller than the second separation influence factor;

[0055] When the separation influence factor is smaller than or equal to the first separation influence factor, the adjustment coefficient of the initial crushing intensity is determined as a first adjustment coefficient;

[0056] When the separation influence factor is greater than the first separation influence factor and smaller than or equal to the second separation influence factor, the adjustment coefficient of the initial crushing intensity is determined as a second adjustment coefficient, and the second adjustment coefficient is greater than the first adjustment coefficient;

[0057] When the separation influence factor is greater than the second separation influence factor, the adjustment coefficient of the initial crushing intensity is determined as a third adjustment coefficient, and the third adjustment coefficient is greater than the second adjustment coefficient.

[0058] Compared with the prior art, the method for separating the seed coat of torreya grandis provided by the present application can accurately control the separation of torreya grandis fruits with different length intervals and different physical properties, achieving efficient and lossless separation of the seed coat. By grouping the torreya grandis fruits according to their length, it can be ensured that each group of torreya grandis fruits has similar physical properties, thereby improving the accuracy and efficiency of the subsequent separation steps. At the same time, by collecting and analyzing the physical property data of the torreya grandis fruits, such as shell thickness, shell hardness, moisture content, and shell kernel tightness, the initial crushing intensity of each group of torreya grandis fruits can be further accurately determined, avoiding damage to the kernels during the separation process. In addition, the present embodiment also provides a method for adjusting the initial crushing intensity to ensure that the best separation effect can be achieved during actual operation. This method not only improves the efficiency and accuracy of the separation of the seed coat of torreya grandis, but also reduces the breakage rate of the kernels, thereby improving the quality and value of the torreya grandis products. BRIEF DESCRIPTION OF DRAWINGS

[0059] Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The accompanying drawings are intended to further aid the full understanding of the preferred embodiments. The drawings are for purposes of illustration only and are not intended to limit the application thereto. Like reference numerals denote like elements throughout the text. In the drawings:

[0060] Figure 1 A flow chart of the method for separating the seed coat of torreya grandis is provided in the embodiments of the present application. DETAILED DESCRIPTION

[0061] Exemplary embodiments of the present disclosure will be described in detail with reference to the drawings. Although exemplary embodiments of the present disclosure are shown in the drawings, it is understood that the present disclosure can be implemented in various forms and should not be limited by the embodiments set forth herein. Rather, these embodiments are provided so that the present disclosure can be more thoroughly understood, and the scope of the present disclosure can be accurately conveyed to those skilled in the art. It should be noted that the embodiments in the present application and the features in the embodiments can be combined with each other without conflict. The present application will be described in detail below with reference to the drawings and in conjunction with the embodiments.

[0062] Referring to Figure 1 As shown in the drawings, in some embodiments of the present application, the present embodiment provides a method for separating the seed coat of torreya grandis, comprising the following steps:

[0063] S100: determining the torreya grandis to be screened, grouping the torreya grandis to be screened according to length intervals, and obtaining a group of torreya grandis to be separated;

[0064] S200: collecting physical property data of the group of torreya grandis to be separated, analyzing the physical property data, and determining an initial crushing intensity of the group of torreya grandis to be separated based on the analysis result;

[0065] S300: using a shell breaking device to perform a crushing and separation test on the group of torreya grandis to be separated at the initial crushing intensity, collecting test data after the crushing and separation test, and determining whether to adjust the initial crushing intensity according to the test data;

[0066] S400: if yes, collecting actual operating parameters of the shell breaking device, and adjusting the initial crushing intensity according to the actual operating parameters to obtain a final crushing intensity.

[0067] In the present embodiment, the initial crushing intensity refers to a crushing intensity value preset before the shell breaking device starts the crushing and separation operation, which is determined according to the physical property data of the group of torreya grandis to be separated, aiming to ensure the crushing and separation effect while minimizing the damage to the seed kernels.

[0068] It can be understood that the seed skin separation method of torreya grandis provided by the embodiment can accurately control the torreya grandis fruits with different length intervals and different physical properties, and realize efficient and non-destructive separation of the seed skin. By grouping the lengths of the torreya grandis fruits, it can be ensured that each group of torreya grandis fruits has similar physical properties, thereby improving the accuracy and efficiency of the subsequent separation steps. At the same time, by collecting and analyzing the physical property data of the torreya grandis fruits, such as shell thickness, shell hardness, moisture content and shell kernel combination tightness, the initial breaking degree of each group of torreya grandis fruits can be further accurately determined to avoid damage to the kernels during the separation process. In addition, the embodiment also provides a method for adjusting the initial breaking degree to ensure that the best separation effect can be achieved during actual operation. This method not only improves the efficiency and accuracy of the separation of torreya grandis seed skin, but also reduces the kernel breakage rate, thereby improving the quality and value of torreya grandis products.

[0069] Specifically, when the grouping processing is performed on the to-be-screened torreya grandis according to the length interval to obtain a to-be-separated torreya grandis group, the method comprises:

[0070] setting a first length interval, a second length interval and a third length interval;

[0071] dividing the to-be-screened torreya grandis with a length in the first length interval into a first to-be-separated torreya grandis group;

[0072] dividing the to-be-screened torreya grandis with a length in the second length interval into a second to-be-separated torreya grandis group;

[0073] dividing the to-be-screened torreya grandis with a length in the third length interval into a third to-be-separated torreya grandis group.

[0074] It can be understood that by setting different length intervals, the torreya grandis fruits can be classified more finely, so that each group of torreya grandis fruits has more consistent physical properties in the subsequent breaking and separation steps. This grouping processing method helps to improve the uniformity and consistency of the seed skin separation, and further improves the separation efficiency and product quality. In actual operation, the first length interval, the second length interval and the third length interval can be flexibly set according to the actual size distribution of the torreya grandis fruits to ensure the rationality and effectiveness of the grouping processing.

[0075] Specifically, when the physical property data is analyzed and the initial breaking degree of the to-be-separated torreya grandis group is determined based on the analysis result, the method comprises:

[0076] analyzing the physical property data to obtain shell thickness characteristic value, shell hardness characteristic value, moisture content characteristic value and shell kernel combination tightness characteristic value of the to-be-separated torreya grandis group;

[0077] determining the conventional breaking degree of the to-be-separated torreya grandis group according to the shell thickness characteristic value;

[0078] determining whether to optimize the conventional breaking intensity according to the shell hardness characteristic value;

[0079] If yes, constructing an optimization characteristic group according to the water content characteristic value and the shell- kernel combination tightness characteristic value, determining an optimization coefficient of the conventional breaking intensity according to the optimization characteristic group, and taking the product value of the optimization coefficient and the conventional breaking intensity as the initial breaking intensity.

[0080] It can be understood that through in-depth analysis of physical property data, the characteristics of torreya grandis fruits can be more accurately grasped, thereby providing more accurate control parameters for breaking and separating torreya grandis fruits. The shell thickness characteristic value reflects the thickness of the shell of torreya grandis fruits, which is an important basis for determining the conventional breaking intensity. The shell hardness characteristic value reveals the hardness of the shell of torreya grandis fruits, which helps to determine whether the conventional breaking intensity needs to be optimized. When the shell hardness is high, the breaking intensity may need to be increased to ensure the separation effect; when the shell hardness is low, the breaking intensity can be appropriately reduced to avoid damaging the kernel. The water content characteristic value and the shell- kernel combination tightness characteristic value further provide clues for optimizing the breaking intensity. Torreya grandis fruits with high water content may need to increase humidity control during breaking to prevent too much debris from being generated during separation of the shell and the kernel. Torreya grandis fruits with high shell- kernel combination tightness need more precise control of the breaking intensity to ensure complete separation of the shell and the kernel.

[0081] Specifically, when determining the conventional breaking intensity of the group of torreya grandis fruits to be separated according to the shell thickness characteristic value, the method comprises:

[0082] comparing the shell thickness characteristic value with a first shell thickness characteristic value and a second shell thickness characteristic value, and determining the conventional breaking intensity of the group of torreya grandis fruits to be separated according to the comparison result; wherein the first shell thickness characteristic value is less than the second shell thickness characteristic value;

[0083] when the shell thickness characteristic value is less than or equal to the first shell thickness characteristic value, determining the conventional breaking intensity of the group of torreya grandis fruits to be separated as a first breaking intensity;

[0084] when the shell thickness characteristic value is greater than the first shell thickness characteristic value and less than or equal to the second shell thickness characteristic value, determining the conventional breaking intensity of the group of torreya grandis fruits to be separated as a second breaking intensity, the second breaking intensity being greater than the first breaking intensity;

[0085] when the shell thickness characteristic value is greater than the second shell thickness characteristic value, determining the conventional breaking intensity of the group of torreya grandis fruits to be separated as a third breaking intensity, the third breaking intensity being greater than the second breaking intensity.

[0086] It can be understood that by comparing the shell thickness characteristic value with the preset first shell thickness characteristic value and the second shell thickness characteristic value, the conventional breaking force of torreya grandis fruits can be determined more accurately. This comparison method fully considers the diversity of the shell thickness of torreya grandis fruits, ensuring that torreya grandis fruits of different thicknesses can be properly broken. When the shell thickness characteristic value is small, i.e. the shell of torreya grandis fruits is thin, a smaller first breaking force is selected to avoid excessive breaking and protect the integrity of the kernel. When the shell thickness characteristic value is large, i.e. the shell of torreya grandis fruits is thick, a larger second breaking force or a third breaking force is selected to ensure effective separation of the shell and the kernel. This method of flexibly adjusting the breaking force according to the shell thickness characteristic value not only improves the efficiency and accuracy of seed coat separation, but also further reduces the breakage rate of kernels, bringing significant advantages to the processing and production of torreya grandis products.

[0087] Specifically, when determining whether to optimize the conventional breaking force according to the shell hardness characteristic value, the following steps are included:

[0088] A shell hardness standard value corresponding to the shell hardness characteristic value is obtained, and a ratio of the shell hardness characteristic value and the shell hardness standard value is calculated, denoted as a shell hardness ratio;

[0089] The shell hardness ratio is compared with a shell hardness ratio threshold value, and whether to optimize the conventional breaking force is determined according to the comparison result;

[0090] When the shell hardness ratio is within the shell hardness ratio threshold value range, it is determined that the conventional breaking force is not optimized;

[0091] When the shell hardness ratio is outside the shell hardness ratio threshold value range, it is determined that the conventional breaking force is optimized.

[0092] Specifically, when determining the optimization coefficient of the conventional breaking force according to the optimization characteristic group, the following steps are included:

[0093] The optimization characteristic group is compared with a historical optimization group, and the optimization coefficient of the conventional breaking force is determined according to the comparison result;

[0094] When there is a historical optimization characteristic group in the historical optimization group that is the same as the optimization characteristic group, a historical optimization coefficient corresponding to the historical optimization characteristic group is taken as the optimization coefficient;

[0095] When there is no historical optimization characteristic group in the historical optimization group that is the same as the optimization characteristic group, the similarity of the historical optimization group and each historical optimization characteristic group is calculated, the highest similarity is obtained, and the optimization coefficient is determined according to the highest similarity.

[0096] It can be understood that the similarity calculation process is an optimization coefficient determination method based on feature matching. First, a plurality of historical optimization groups are extracted from the historical optimization database, each of which contains a moisture content characteristic value, a shell kernel combination tightness characteristic value, and a corresponding optimization coefficient. Then, the optimization feature group of the current to-be-separated torreya group is compared with the historical optimization groups one by one. If a completely matched historical optimization feature group is found, the corresponding optimization coefficient is directly used. If no completely matched historical optimization feature group is found, the similarity of the current optimization feature group and each historical optimization group is calculated. The similarity calculation can comprehensively consider the difference degree of the moisture content characteristic value and the shell kernel combination tightness characteristic value, and use methods such as Euclidean distance and cosine similarity for quantification. Finally, the historical optimization group with the highest similarity is selected, and its optimization coefficient is appropriately adjusted as the optimization coefficient of the current to-be-separated torreya group.

[0097] It can be understood that the similarity calculation method considers the moisture content characteristic value, the shell kernel combination tightness characteristic value, and the weight relationship between them, ensuring that the determination of the optimization coefficient has scientific basis and accuracy. In this way, more personalized crushing force optimization schemes can be provided for torreya fruits with different physical properties, further improving the efficiency of seed coat separation and the protection effect of kernel. In addition, comparing the historical optimization group with the optimization feature group not only makes full use of past experience data, but also helps to realize intelligent and automated crushing force adjustment, improving the controllability and stability of the entire separation process.

[0098] Specifically, when the highest similarity is used to determine the optimization coefficient, it includes:

[0099] The highest similarity is compared with a similarity threshold value, and the optimization coefficient is determined according to the comparison result;

[0100] When the highest similarity is greater than or equal to the similarity threshold value, the historical optimization coefficient corresponding to the highest similarity is used as the optimization coefficient;

[0101] When the highest similarity is less than the similarity threshold value, the difference between the highest similarity and the similarity threshold value is calculated, denoted as a similarity difference;

[0102] The similarity difference is compared with a first similarity difference and a second similarity difference, and the optimization coefficient is determined according to the comparison result; wherein the first similarity difference is less than the second similarity difference;

[0103] When the similarity difference is less than or equal to the first similarity difference, the optimization coefficient is determined as a first optimization coefficient;

[0104] determining the optimization coefficient as a second optimization coefficient when the similarity difference value is greater than the first similarity difference value and less than or equal to the second similarity difference value, the second optimization coefficient being less than the first optimization coefficient;

[0105] determining the optimization coefficient as a third optimization coefficient when the similarity difference value is greater than the second similarity difference value, the third optimization coefficient being less than the second optimization coefficient.

[0106] It can be understood that by setting the similarity threshold value and the first similarity difference value and the second similarity difference value, the optimization coefficient can be determined more carefully according to the highest similarity. When the highest similarity is high, it means that the physical characteristics of the current group of Chinese juniper to be separated are very close to a group in the historical optimization group, so the optimization coefficient corresponding to the historical optimization group can be directly used to ensure the accuracy and stability of the crushing intensity. When the highest similarity is low, it means that the physical characteristics of the current group of Chinese juniper to be separated are different from the historical optimization group, so the optimization coefficient needs to be adjusted flexibly according to the similarity difference value. By setting different similarity difference value intervals and corresponding different optimization coefficients, fine adjustment of the crushing intensity can be realized to adapt to Chinese juniper fruits with different physical characteristics, further improving the efficiency of seed coat separation and the protection effect of the kernel.

[0107] Specifically, when determining whether to adjust the initial crushing intensity according to the test data, the method comprises:

[0108] analyzing the test data to obtain the whole kernel rate of the group of Chinese juniper to be separated;

[0109] comparing the whole kernel rate with a preset whole kernel rate threshold value, and determining whether to adjust the initial crushing intensity according to the comparison result;

[0110] when the whole kernel rate is greater than or equal to the preset whole kernel rate threshold value, it is determined that the initial crushing intensity is not adjusted;

[0111] when the whole kernel rate is less than the preset whole kernel rate threshold value, it is determined that the initial crushing intensity is adjusted.

[0112] It can be understood that the whole kernel rate, as an important indicator for measuring the effect of seed coat separation, directly reflects the integrity of the kernel in the separation process. When the whole kernel rate is high, it means that the current crushing intensity can meet the separation requirements and cause less damage to the kernel, so there is no need to adjust. When the whole kernel rate is low, it means that the crushing intensity needs to be further optimized to improve the efficiency of seed coat separation and the protection effect of the kernel.

[0113] Specifically, when adjusting the initial crushing intensity according to the actual operation parameters to obtain the final crushing intensity, the method comprises:

[0114] analyzing the actual operation parameter to obtain an actual crushing frequency and an actual crushing time of the hull breaking device;

[0115] determining a separation influence factor of the group of Chinese torreya nuts to be separated according to the actual crushing frequency and the actual crushing time;

[0116] determining an adjustment coefficient of the initial crushing intensity according to the separation influence factor, and taking a product value of the adjustment coefficient and the initial crushing intensity as the final crushing intensity.

[0117] In the embodiment, the separation influence factor is obtained by the following formula:

[0118] SIF = A f t;

[0119] wherein SIF represents the separation influence factor, A represents a normalization coefficient, f represents the actual crushing frequency, and t represents the actual crushing time.

[0120] It can be understood that the calculation of the separation influence factor comprehensively considers the actual crushing frequency and the actual crushing time of the hull breaking device, which are directly related to the actual effect of seed coat separation. The actual crushing frequency reflects the number of crushing operations performed by the device in unit time, while the actual crushing time represents the duration of each crushing operation. By reasonably setting these two parameters, it can be ensured that the hull breaking device can achieve the expected separation effect while not causing unnecessary damage to the kernels during operation. Specifically, the calculation formula of the separation influence factor fully considers the interaction between the crushing frequency and the crushing time, as well as their comprehensive influence on the seed coat separation effect. This calculation method ensures that the determination of the adjustment coefficient has a scientific basis, thereby achieving accurate adjustment of the initial crushing intensity.

[0121] Specifically, when determining the adjustment coefficient of the initial crushing intensity according to the separation influence factor, the method comprises:

[0122] comparing the separation influence factor with a first separation influence factor and a second separation influence factor, and determining the adjustment coefficient of the initial crushing intensity according to the comparison result; wherein the first separation influence factor is less than the second separation influence factor;

[0123] when the separation influence factor is less than or equal to the first separation influence factor, determining the adjustment coefficient of the initial crushing intensity as a first adjustment coefficient;

[0124] when the separation influence factor is greater than the first separation influence factor and less than or equal to the second separation influence factor, determining the adjustment coefficient of the initial crushing intensity as a second adjustment coefficient, the second adjustment coefficient being greater than the first adjustment coefficient.

[0125] When the separation influence factor is greater than the second separation influence factor, the adjustment coefficient of the initial breaking intensity is determined as a third adjustment coefficient, and the third adjustment coefficient is greater than the second adjustment coefficient.

[0126] It can be understood that, by comparing the separation influence factor with the preset first separation influence factor and the second separation influence factor, the adjustment coefficient of the initial breaking intensity can be determined more accurately. This comparison mode fully considers various factors in the actual operation of the hull breaking equipment, and ensures that the determination of the adjustment coefficient is scientific and reasonable. When the separation influence factor is small, that is, the actual breaking frequency and the actual breaking time of the hull breaking equipment are short, the smaller first adjustment coefficient is selected to avoid excessive adjustment and maintain the stability of the initial breaking intensity. When the separation influence factor is large, that is, the actual breaking frequency and the actual breaking time of the hull breaking equipment are long, the larger second adjustment coefficient or third adjustment coefficient is selected to ensure that the breaking intensity can adapt to the actual separation demand. This method of flexibly adjusting the breaking intensity according to the separation influence factor not only further improves the efficiency and accuracy of the seed coat separation, but also effectively reduces the breakage rate of the kernel.

[0127] Those skilled in the art will appreciate that embodiments of the application can be supplied as a method, a system, or a computer program product. Accordingly, the application can be embodied in the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the application can be embodied in the form of a computer program product on one or more computer readable storage media (including, but not limited to, disk memory, CD-ROMs, optical storage media, etc.) having computer usable program code embodied thereon.

[0128] The application is described with reference to the flowcharts and / or block diagrams of the methods, apparatus (system) and computer program products according to the embodiments of the application. It should be understood that each flow and / or block in the flowcharts and / or block diagrams can be implemented by computer program instructions, and the combination of the flows and / or blocks in the flowcharts and / or block diagrams. These computer program instructions can be provided to the processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing devices to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing devices produce a device that implements the flowcharts and / or block diagrams. Figure 1 The device that implements the function specified in one flow or multiple flows and / or blocks. Figure 1 The device that implements the function specified in one flow or multiple flows and / or blocks.

[0129] These computer program instructions can also be stored in a computer readable storage medium that can guide the computer or other programmable data processing devices to work in a specific way, so that the instructions stored in the computer readable storage medium produce a manufactured product including instruction devices that implement the flowcharts and / or block diagrams.Figure 1 one or more processes and / or functions described in one or more blocks. Figure 1 one or more blocks.

[0130] These computer program instructions can also be loaded into computer or other programmable data processing devices, so that a series of operation steps are performed on the computer or other programmable data processing devices to generate computer-implemented processes, so that the instructions executed on the computer or other programmable data processing devices provide processes for implementing the flow Figure 1 one or more processes and / or functions described in one or more blocks. Figure 1 one or more blocks.

[0131] Finally, it should be noted that: the above examples are only used to illustrate the technical solutions of the present application, but not to limit it, although the above embodiments of the present application have been described in detail, those skilled in the art should understand: the specific embodiments of the present application can still be modified or replaced by the equivalent, without departing from the spirit and scope of the present application, any modification or equivalent replacement, which should be covered within the scope of protection of the claims of the present application.

Claims

1. A method for separating the seed coat of Torreya grandis cv. Master, characterized by, The method comprises the following steps: determining to-be-screened Chinese pine nuts, grouping the to-be-screened Chinese pine nuts according to length intervals, and obtaining a to-be-separated Chinese pine nut group; collecting physical property data of the to-be-separated Chinese pine nut group, analyzing the physical property data, and determining an initial breaking force of the to-be-separated Chinese pine nut group based on the analysis result; using a shell breaking device to break and separate the to-be-separated Chinese pine nut group at the initial breaking force, collecting test data after the breaking and separating test, and determining whether to adjust the initial breaking force based on the test data; if yes, collecting actual operation parameters of the shell breaking device, adjusting the initial breaking force based on the actual operation parameters, and obtaining a final breaking force.

2. The method of separating the seed coat of torreya grandis according to claim 1, characterized in that, When the to-be-screened Chinese pine nuts are grouped according to length intervals to obtain a to-be-separated Chinese pine nut group, the method comprises the following steps: setting a first length interval, a second length interval and a third length interval; dividing the to-be-screened Chinese pine nuts with lengths in the first length interval into a first to-be-separated Chinese pine nut group; dividing the to-be-screened Chinese pine nuts with lengths in the second length interval into a second to-be-separated Chinese pine nut group; dividing the to-be-screened Chinese pine nuts with lengths in the third length interval into a third to-be-separated Chinese pine nut group.

3. The method of separating the seed coat of torreya grandis according to claim 2, characterized in that, When the physical property data is analyzed and an initial breaking force of the to-be-separated Chinese pine nut group is determined based on the analysis result, the method comprises the following steps: analyzing the physical property data to obtain a shell thickness characteristic value, a shell hardness characteristic value, a water content characteristic value and a shell kernel combination tightness characteristic value of the to-be-separated Chinese pine nut group; determining a conventional breaking force of the to-be-separated Chinese pine nut group according to the shell thickness characteristic value; determining whether to optimize the conventional breaking force according to the shell hardness characteristic value; if yes, constructing an optimization characteristic group according to the water content characteristic value and the shell kernel combination tightness characteristic value, determining an optimization coefficient of the conventional breaking force according to the optimization characteristic group, and taking a product value of the optimization coefficient and the conventional breaking force as the initial breaking force.

4. The method of separating the seed coat of torreya grandis according to claim 3, characterized in that, When the conventional breaking force of the to-be-separated Chinese pine nut group is determined according to the shell thickness characteristic value, the method comprises the following steps: comparing the shell thickness characteristic value with a first shell thickness characteristic value and a second shell thickness characteristic value, and determining the conventional breaking force of the to-be-separated Chinese pine nut group according to the comparison result; wherein the first shell thickness characteristic value is smaller than the second shell thickness characteristic value; when the shell thickness characteristic value is smaller than or equal to the first shell thickness characteristic value, determining the conventional breaking force of the to-be-separated Chinese pine nut group as a first breaking force; when the shell thickness characteristic value is greater than the first shell thickness characteristic value and smaller than or equal to the second shell thickness characteristic value, determining the conventional breaking force of the to-be-separated Chinese pine nut group as a second breaking force, and the second breaking force is greater than the first breaking force; when the shell thickness characteristic value is greater than the second shell thickness characteristic value, determining the conventional breaking force of the to-be-separated Chinese pine nut group as a third breaking force, and the third breaking force is greater than the second breaking force.

5. The method of separating the seed coat of torreya grandis according to claim 4, characterized in that, When it is determined whether to optimize the conventional breaking force according to the shell hardness characteristic value, the method comprises the following steps: obtaining a shell hardness standard value corresponding to the shell hardness characteristic value, and calculating a ratio of the shell hardness characteristic value and the shell hardness standard value, denoted as a shell hardness ratio value; comparing the shell hardness ratio value with a shell hardness ratio value threshold, and determining whether to optimize the conventional breaking intensity according to a comparison result; when the shell hardness ratio value is within the shell hardness ratio value threshold range, determining not to optimize the conventional breaking intensity; when the shell hardness ratio value is outside the shell hardness ratio value threshold range, determining to optimize the conventional breaking intensity.

6. The method of separating the seed coat of torreya grandis according to claim 5, characterized in that, when determining the optimization coefficient of the conventional breaking intensity according to the optimization feature group, comprising: comparing the optimization feature group with a historical optimization group, and determining the optimization coefficient of the conventional breaking intensity according to a comparison result; when there is a historical optimization feature group same as the optimization feature group in the historical optimization group, taking a historical optimization coefficient corresponding to the historical optimization feature group as the optimization coefficient; when there is no historical optimization feature group same as the optimization feature group in the historical optimization group, calculating a similarity of the historical optimization group and each historical optimization feature group, obtaining a highest similarity, and determining the optimization coefficient according to the highest similarity.

7. The method of separating the seed coat of torreya grandis according to claim 6, characterized in that, when determining the optimization coefficient according to the highest similarity, comprising: comparing the highest similarity with a similarity threshold, and determining the optimization coefficient according to a comparison result; when the highest similarity is greater than or equal to the similarity threshold, taking a historical optimization coefficient corresponding to the highest similarity as the optimization coefficient; when the highest similarity is less than the similarity threshold, calculating a difference value of the highest similarity and the similarity threshold, denoted as a similarity difference value; comparing the similarity difference value with a first similarity difference value and a second similarity difference value, and determining the optimization coefficient according to a comparison result; wherein the first similarity difference value is less than the second similarity difference value; when the similarity difference value is less than or equal to the first similarity difference value, determining the optimization coefficient as a first optimization coefficient; when the similarity difference value is greater than the first similarity difference value and less than or equal to the second similarity difference value, determining the optimization coefficient as a second optimization coefficient, and the second optimization coefficient is less than the first optimization coefficient; when the similarity difference value is greater than the second similarity difference value, determining the optimization coefficient as a third optimization coefficient, and the third optimization coefficient is less than the second optimization coefficient.

8. The method of separating the seed coat of torreya grandis according to claim 7, characterized in that, when determining whether to adjust the initial breaking intensity according to the test data, comprising: analyzing the test data to obtain a whole kernel rate of the to-be-separated torreya group; comparing the whole kernel rate with a preset whole kernel rate threshold, and determining whether to adjust the initial breaking intensity according to a comparison result; when the whole kernel rate is greater than or equal to the preset whole kernel rate threshold, determining not to adjust the initial breaking intensity; when the whole kernel rate is less than the preset whole kernel rate threshold, determining to adjust the initial breaking intensity.

9. The method of separating the seed coat of torreya grandis according to claim 8, characterized in that, when adjusting the initial breaking intensity according to the actual operation parameter to obtain a final breaking intensity, comprising: The actual operation parameter is analyzed to obtain an actual crushing frequency and an actual crushing time of the shell breaking device; A separation influence factor of the group of Chinese torreya to be separated is determined according to the actual crushing frequency and the actual crushing time; An adjustment coefficient of the initial crushing intensity is determined according to the separation influence factor, and a product value of the adjustment coefficient and the initial crushing intensity is taken as the final crushing intensity.

10. The method of separating the seed coat of torreya grandis according to claim 9, characterized in that, When the adjustment coefficient of the initial crushing intensity is determined according to the separation influence factor, the method comprises the following steps: The separation influence factor is compared with a first separation influence factor and a second separation influence factor, and the adjustment coefficient of the initial crushing intensity is determined according to a comparison result; wherein the first separation influence factor is smaller than the second separation influence factor; When the separation influence factor is smaller than or equal to the first separation influence factor, the adjustment coefficient of the initial crushing intensity is determined as a first adjustment coefficient; When the separation influence factor is greater than the first separation influence factor and smaller than or equal to the second separation influence factor, the adjustment coefficient of the initial crushing intensity is determined as a second adjustment coefficient, and the second adjustment coefficient is greater than the first adjustment coefficient; When the separation influence factor is greater than the second separation influence factor, the adjustment coefficient of the initial crushing intensity is determined as a third adjustment coefficient, and the third adjustment coefficient is greater than the second adjustment coefficient.

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