A low erucic rapeseed oil dehulling cold pressing integrated equipment and process method

Abstract

The application relates to the technical field of other biological industries, and particularly relates to a low erucic acid rapeseed oil peeling cold pressing integrated device and process method, the process method comprising the following steps: S1, stone removal and cleaning of rapeseed and drying; S2, peeling and conditioning treatment of the dried rapeseed; S3, cold pressing treatment of the peeling and conditioning rapeseed by using the peeling cold pressing integrated device, and the main shaft rotating speed is controlled by analyzing the influence of the main shaft rotating speed on the rapeseed oil yield. The application takes into account the erucic acid difference and oil content difference of rapeseed raw materials between different batches, solves the problem that the fixed main shaft rotating speed is difficult to dynamically respond to the change of rapeseed raw material characteristics, strictly controls the erucic acid content to reach the standard, and improves the rapeseed oil yield of low erucic acid rapeseed oil.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of other biological industry, and in particular to a low erucic acid rapeseed oil peeling cold pressing integrated equipment and process method. BACKGROUND

[0002] Rapeseed oil is one of the main edible oils in China, and as part of the other biological industry, the production process of cold-pressed rapeseed oil not only affects the quality of the final product, but also plays an important role in promoting the development of the entire industry chain. Cold-pressed rapeseed oil is widely welcomed due to its simple preparation process and the ability to retain more heat-sensitive active ingredients; however, the rapeseed oil obtained by traditional cold pressing methods usually has a higher erucic acid content, and long-term consumption of rapeseed oil with high erucic acid content can cause diseases such as blood vessel wall thickening and myocardial fat deposition due to excessive accumulation of erucic acid, which is not conducive to human health.

[0003] In the existing cold pressing process of low erucic acid rapeseed oil and the production process of other biological industry, the existing technology often uses a higher main shaft speed to increase production. However, a higher main shaft speed can cause the residual oil rate of the dry cake after pressing to increase, thereby increasing production costs. At the same time, changes in the main shaft speed can also affect the pressing temperature, which can further cause the erucic acid content in the rapeseed oil to exceed the standard, thereby affecting product quality. The existing technology does not fully consider the differences in erucic acid and oil content between different batches of rapeseed raw materials when setting the main shaft speed, and the use of a fixed main shaft speed cannot dynamically respond to changes in the characteristics of the rapeseed raw materials, which can cause the erucic acid content to exceed the standard and the oil production to be low. SUMMARY

[0004] To solve the above technical problems, the present application provides a low erucic acid rapeseed oil peeling cold pressing integrated equipment and process method to solve the existing problems.

[0005] The low erucic acid rapeseed oil peeling cold pressing integrated equipment and process method of the present application adopts the following technical solutions:

[0006] One embodiment of the present application provides a low erucic acid rapeseed oil peeling cold pressing process method, which includes the following steps:

[0007] S1: stone removal and cleaning of the rapeseed and drying;

[0008] S2: peeling and conditioning treatment of the dried rapeseed;

[0009] S3: cold pressing treatment of the peeling and conditioning rapeseed using a peeling cold pressing integrated equipment, and the main shaft speed is controlled by analyzing the influence of the main shaft speed on the oil production of the rapeseed, specifically:

[0010] In a preset number of cold-pressing processes, the average erucic acid content and oil content of all rapeseed before cold pressing are obtained for each cold-pressing process, as well as the average erucic acid content, residual oil rate, and oil yield of all rapeseed after cold pressing, and the pressing temperature and spindle speed set during the cold pressing process are also obtained, and the vibration data of the spindle is obtained in real time. The cold-pressing process with an average erucic acid content less than the preset erucic acid threshold is recorded as a qualified process.

[0011] By analyzing the difference between the average oil content of all rapeseed before cold pressing and the residual oil rate after cold pressing in each qualified process, as well as the dispersion of the spindle vibration data at all times, and in combination with the oil production, the spindle speed adaptation coefficient in each qualified process is determined in order to screen out good qualified processes.

[0012] A regression equation was constructed to establish the relationships between pressing temperature, spindle speed, and the average erucic acid content before and after cold pressing. Based on the maximum and minimum values ​​of erucic acid content after cold pressing from all sub-qualified processes, the average oil content and pressing temperature of all rapeseed before cold pressing for the current cold pressing process, and in conjunction with the regression equation, the constraints of the optimization algorithm were determined. The optimization algorithm was then used to select the optimal qualified process from all good qualified processes to regulate the spindle speed of the current cold pressing process.

[0013] Preferably, the drying time is 6 to 8 hours.

[0014] Preferably, the rotation speed during the peeling process is 1450–1550 r / min.

[0015] Preferably, the water temperature during the conditioning process is 10–30°C, the water spraying amount is 2%–3% of the rapeseed quantity, and the moisture content is 10%–11% when the conditioning is completed.

[0016] Preferably, the expression for the spindle speed adaptation coefficient in each qualified process is: In the formula, B i C represents the difference between the average oil content before the i-th qualified cold pressing process and the residual oil content after cold pressing; i D represents the oil yield after the i-th qualified cold pressing process; i τ represents the dispersion of the spindle vibration data at all times during the i-th qualified process; τ represents a preset constant greater than 0.

[0017] Preferably, the screening of good and qualified processes includes:

[0018] Clustering is performed on a preset number of qualified processes. The metric distance is set as the difference in the average oil content before cold pressing among qualified processes. The rotation speed adaptation coefficient of all qualified processes in each cluster is used as the input of the threshold segmentation algorithm, and the segmentation threshold is output. Qualified processes with rotation speed adaptation coefficient greater than or equal to the segmentation threshold are regarded as good qualified processes.

[0019] Preferably, the regression equation between the mean values of the pressing temperature, the spindle speed, and the erucic acid content before cold pressing and the mean value of the erucic acid content after cold pressing includes:

[0020] Taking the mean values of the pressing temperature, the spindle speed, and the erucic acid content before cold pressing for a preset number of processes as the independent variables of the regression model, and taking the mean value of the erucic acid content after cold pressing as the dependent variable of the regression model, to obtain a preset number of equations with unknown regression coefficients and residual terms for each item;

[0021] Using the least squares method to solve the regression coefficients for each item in each equation, calculating the mean values of the regression coefficients and the residual terms for each item in the preset number of equations respectively, and denoting them as the average regression coefficients and the average residuals respectively. Substituting the average regression coefficients and the average residuals for each item into the equations with unknown regression coefficients and residual terms for each item, to obtain the regression equation between the mean values of the pressing temperature, the spindle speed, and the erucic acid content before cold pressing and the mean value of the erucic acid content after cold pressing.

[0022] Preferably, the method for determining the constraint conditions of the optimization algorithm is:

[0023] Taking the maximum and minimum values of the mean values of the erucic acid content after cold pressing in a preset number of qualified processes as the values of the dependent variable in the regression equation, and taking the mean value of the oil content before cold pressing and the pressing temperature of all rapeseeds in the current cold pressing process as the values of the independent variables in the regression equation. Solving the regression equation to obtain the spindle speeds corresponding to the maximum and minimum values of the mean value of the erucic acid content after cold pressing respectively, and denoting them as s1 and s2. The constraint condition S is: min(s1, s2) < S < max(s1, s2), where min() and max() respectively represent the minimum value function and the maximum value function.

[0024] Preferably, using the optimization algorithm to screen out the optimal qualified process from all good qualified processes to regulate the spindle speed of the current cold pressing process includes:

[0025] Combining the mean values of the erucic acid content and the oil content before cold pressing of all good qualified processes, the mean values of the erucic acid content, the residual oil rate, and the oil yield after cold pressing of all rapeseeds, and the set pressing temperature and spindle speed during cold pressing to form a multi-group. Taking the multi-group as the initial distribution position of the good qualified processes in the optimization algorithm, taking R = max(A) as the objective function of the optimization algorithm, and taking min(s1, s2) < S < max(s1, s2) as the constraint condition of the optimization algorithm, outputting the optimal qualified process, and taking the spindle speed of the optimal qualified process as the spindle speed of the current cold pressing process, where A represents the speed adaptation coefficient of the current cold pressing process.

[0026] Secondly, embodiments of this application also provide an integrated device for peeling and cold pressing low erucic acid rapeseed oil, including a memory, a processor, and a computer program stored in the memory and running on the processor. When the processor executes the computer program, it implements the steps of any of the above-described methods for peeling and cold pressing low erucic acid rapeseed oil.

[0027] This application has at least the following beneficial effects:

[0028] This application addresses the problem in existing technologies that fail to adequately consider the differences between batches of raw materials, leading to unreasonable spindle speed settings and potentially excessive erucic acid content in rapeseed oil after cold pressing, as well as high residual oil content in the cake. Firstly, by analyzing oil extraction efficiency, production efficiency, and stability information, a speed adaptation coefficient is constructed to evaluate the rationality of the spindle speed in the cold pressing process. Then, combined with cluster analysis and threshold segmentation, a high speed adaptation coefficient, representing efficient and stable pressing, is selected as a qualified process. In this embodiment, the speed is dynamically adjusted according to the oil content of the raw material, effectively reducing the residual oil content in the cake and increasing yield and efficiency while ensuring that erucic acid levels meet standards. First, this application establishes a model, i.e., a regression equation, relating pressing temperature, rotation speed, initial erucic acid content, and final erucic acid content through regression analysis. Then, using the maximum and minimum erucic acid content values ​​among all qualified processes, the oil content and temperature of the current process, and the regression equation, a safe range of rotation speed constraints is determined. Finally, an optimization algorithm is used to select the optimal qualified process within the constraints, aiming to maximize the rotation speed adaptation coefficient, and its rotation speed setting is applied to the current process. This method effectively ensures efficient oil extraction while considering the impact of differences in raw material oil content, strictly controlling erucic acid content to meet standards, and increasing the yield of low-erucic acid rapeseed oil. Attached Figure Description

[0029] To more clearly illustrate the technical solutions and advantages in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0030] Figure 1 A flowchart illustrating the steps of a low-erucic acid rapeseed oil peeling and cold pressing process according to an embodiment of this application;

[0031] Figure 2 This is a schematic diagram of the spindle speed control process provided in one embodiment of this application. Detailed Implementation

[0032] To further illustrate the technical means and effects adopted by this application to achieve the intended purpose of the invention, the following, in conjunction with the accompanying drawings and preferred embodiments, details the specific implementation, structure, features, and effects of an integrated low-erucic acid rapeseed oil peeling and cold pressing equipment and process method proposed in this application. In the following description, different "one embodiment" or "another embodiment" do not necessarily refer to the same embodiment. Furthermore, specific features, structures, or characteristics in one or more embodiments can be combined in any suitable form.

[0033] Unless otherwise defined, terms such as “comprising,” “including,” or any other variations thereof are intended to cover a non-exclusive inclusion, such that a circuit structure, article, or device that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such an article or device. Without further limitation, an element defined by the phrase “comprising one…” does not exclude the presence of other identical elements in the article or device that includes said element. Furthermore, the term “and / or” as used herein includes any and all combinations of one or more of the associated listed items. All technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application pertains. The specific scheme of a low-erucic acid rapeseed oil peeling and cold pressing integrated equipment and process method provided by this application is described below in conjunction with the accompanying drawings.

[0034] The following describes in detail, with reference to the accompanying drawings, a specific scheme for a low-erucic acid rapeseed oil peeling and cold pressing process provided in this application.

[0035] Example 1

[0036] Example 1 provides a low-erucic acid rapeseed oil peeling and cold pressing process. For details, please refer to [link to relevant documentation]. Figure 1 The process includes the following steps:

[0037] S1: Remove stones from rapeseed and dry it.

[0038] First, the rapeseed is destoned and cleaned using a gravity grading destoner and a seed selection vehicle to obtain clean rapeseed raw materials. Then, the initial erucic acid content of the rapeseed is analyzed using a near-infrared spectrometer to obtain low erucic acid rapeseed with an erucic acid content of less than 3%. After that, the low erucic acid rapeseed is dried at 60°C using a low-temperature grain dryer for 6 hours.

[0039] S2: Dehull and condition the dried rapeseed.

[0040] The rapeseed is dehulled using an integrated dehulling and cold pressing equipment at a speed of 1450 r / min to obtain rapeseed kernels. The rapeseed kernels are then subjected to low-temperature conditioning in a conditioning chamber with a water temperature set at 10℃. 2% water is sprayed in according to the quantity of rapeseed kernels. Conditioning is considered complete when the moisture content of the rapeseed kernels reaches 10%. The integrated dehulling and cold pressing equipment includes a dehulling chamber, a conditioning chamber, and a pressing chamber. The process involves classifying the rapeseed embryos according to set process parameters, low-temperature conditioning, and cold pressing to remove oil.

[0041] S3: The dehulled and conditioned rapeseed is cold-pressed using an integrated dehulling and cold-pressing equipment. The main shaft speed is adjusted by analyzing the effect of the main shaft speed on the rapeseed oil yield.

[0042] The rapeseed embryos after conditioning are continuously pressed twice by an integrated peeling and cold pressing equipment, with a raw material moisture content of 7%, to obtain peeled and cold-pressed crude rapeseed oil. Furthermore, in this embodiment, the oil temperature and ambient temperature are controlled below 20°C, and the crude rapeseed oil is continuously circulated and filtered for 5 hours using a plate and frame filter press to finally obtain peeled and cold-pressed low erucic acid rapeseed oil. The plate and frame filter press is set with 24 filter plates, a working pressure of less than 0.4 MPa, and a high-density all-cotton filter cloth.

[0043] In existing cold-pressing processes for low-erucic acid rapeseed oil and other bio-based production processes, current technologies often employ high spindle speeds to increase yield. However, higher spindle speeds lead to increased residual oil content in the pressed cake, increasing production costs. Furthermore, variations in spindle speed affect pressing temperature, potentially resulting in excessive erucic acid content in the rapeseed oil, impacting product quality. Existing technologies do not adequately consider the differences in erucic acid content and oil content between different batches of rapeseed feed. Using a fixed spindle speed makes it difficult to dynamically respond to changes in rapeseed feed characteristics, thus potentially leading to excessive erucic acid and high residual oil content in the pressed cake, indicating an imperfect cold-pressing process.

[0044] Therefore, based on the above analysis, this embodiment analyzes the impact of the spindle speed on rapeseed oil yield in the integrated peeling and cold pressing equipment, and adjusts the spindle speed to break the influence of a fixed spindle speed on rapeseed oil yield. The specific process is as follows:

[0045] S301: In a preset number of cold-pressing processes, the average erucic acid content and oil content of all rapeseed before cold pressing, the average erucic acid content, residual oil rate and oil yield of all rapeseed after cold pressing, and the set pressing temperature and spindle speed during the cold pressing process are obtained by using a near-infrared spectrometer, and the vibration data of the spindle are obtained in real time; the cold-pressing process with an average erucic acid content less than the preset erucic acid threshold is recorded as a qualified process.

[0046] In a predetermined number of cold-pressing processes, the average erucic acid content and average oil content of all rapeseed before cold pressing are obtained using a near-infrared spectroscopy method; the average erucic acid content of all rapeseed after cold pressing is collected using a gas chromatograph; the residual oil rate and oil yield of each cold pressing process are obtained using Soxhlet extraction; the oil yield of each cold pressing process is calculated using the weight of all rapeseed and the pressing time; the pressing temperature and spindle speed set in each cold pressing process are recorded manually; finally, the vibration data of the spindle during the cold pressing process are collected by the central control system of the integrated peeling and cold pressing equipment. In this embodiment, the vibration data collection frequency is set to 1Hz, and the data collection time is from the start of pressing to the end of pressing. In actual applications, as other implementation methods, implementers can also set the data collection frequency according to specific circumstances. This embodiment does not impose any special restrictions.

[0047] Since the initial erucic acid content of rapeseed varies greatly from 0.7% to 50%, and the national standard defines erucic acid content of less than 3% as low erucic acid, in this embodiment, the cold pressing process with an average erucic acid content less than the preset erucic acid threshold is recorded as a qualified process. The preset erucic acid threshold is 3%.

[0048] It should be noted that the preset quantity is set manually. In this embodiment, the preset quantity is 150. In actual application, as other implementation methods, implementers can also set it according to specific circumstances. This embodiment does not impose any special restrictions.

[0049] Additional notes regarding the gas chromatography: 0.1g of the cold-pressed sample was weighed and placed in a centrifuge tube. Then, 2.5ml of n-hexane and 0.5mol / L sodium methoxide solution were added, shaken thoroughly, and centrifuged for 10min. Subsequently, the erucic acid content of the prepared rapeseed oil was obtained by gas chromatography using methyl heptadecanate as an internal standard and the area normalization method. Soxhlet extraction: Oil cake was randomly sampled, and the residual oil content of the dry cake was calculated by Soxhlet extraction.

[0050] To eliminate the influence of different dimensions among data, all data are normalized according to their categories. Commonly used normalization methods include z-score normalization and maximum-minimum normalization. This embodiment uses maximum-minimum normalization. In practical applications, as other implementation methods, implementers can also choose other normalization methods according to specific circumstances. This embodiment does not impose any special restrictions on the selection of normalization methods.

[0051] Among them, the maximum-minimum normalization method is a well-known technique, and the specific process of using it to normalize data will not be elaborated here.

[0052] S302: By analyzing the difference between the average oil content of all rapeseed before cold pressing and the residual oil rate after cold pressing in each qualified process, as well as the dispersion of the spindle vibration data at all times, and in combination with the oil production, the spindle speed adaptation coefficient in each qualified process is determined in order to screen out good qualified processes.

[0053] While ensuring that the erucic acid content of cold-pressed rapeseed oil meets the standards, a deeper analysis of the complex relationship between the initial oil content of rapeseed, spindle speed, output and residual oil content of dry cake can be conducted to further reduce the residual oil content of dry cake and lower production costs while meeting high-efficiency output requirements.

[0054] For high-oil-content rapeseed, the oil content in the dried cake remains high even after two pressings, necessitating a reduction in spindle speed to decrease residual oil content. Conversely, for low-oil-content rapeseed, the spindle speed can be increased to avoid over-pressing, improve pressing efficiency, and reduce equipment energy consumption. Therefore, this embodiment analyzes the difference between the average oil content before and after cold pressing of all rapeseed in each qualified process, as well as the dispersion of spindle vibration data at all times. Combined with the oil yield, it determines the spindle speed adaptation coefficient for each qualified process. This analysis examines the rationality of the spindle speed setting during cold pressing to select a suitable qualified process. Specifically:

[0055] As one implementation method, in this embodiment, the spindle speed adaptation coefficient A in the i-th qualified process is... i The expression is: In the formula, B i C represents the difference between the average oil content before the i-th qualified cold pressing process and the residual oil content after cold pressing; i D represents the oil yield after the i-th qualified cold pressing process; i The dispersion of the spindle vibration data at all times during the i-th qualified process is indicated; τ represents a preset constant greater than 0, used to prevent the denominator from being 0. In this embodiment, the value of τ is set manually, and the value of τ in this embodiment is 0.01. In actual application, as other implementation methods, implementers can also set it themselves according to specific circumstances. This embodiment does not impose any special restrictions.

[0056] It should be noted that there are many methods to measure the dispersion of a set of data. In this embodiment, the information entropy of the spindle vibration data at all times in the i-th qualified process is taken as the dispersion of the spindle vibration data at all times in the i-th qualified process. In practical applications, as other implementation methods, implementers may also use other methods such as variance, standard deviation or coefficient of variation to measure the dispersion of the data set, depending on the specific circumstances. This embodiment does not impose any special restrictions on the selection of methods to measure the dispersion of the data set.

[0057] The method for calculating information entropy is a well-known technique, and its specific calculation process will not be elaborated here.

[0058] Based on the spindle speed adaptation coefficient in each successful process, it can be understood that the speed adaptation coefficient aims to evaluate whether the spindle speed setting in the cold pressing process is reasonable. It is mainly evaluated through oil extraction efficiency, stability, and production efficiency. If the difference between the average oil content before cold pressing and the residual oil rate after cold pressing is larger in the i-th successful process, it indicates that more oil was successfully extracted in the i-th cold pressing, and the pressing effect is better. This indicates that the current spindle speed is effective in oil extraction, and the corresponding speed adaptation coefficient is larger. At the same time, if the oil yield after cold pressing in the i-th successful process is larger, it indicates that the production efficiency of the i-th cold pressing process is higher, and the current spindle speed is more suitable. Therefore, the corresponding speed adaptation coefficient is larger. In addition, if the dispersion of the vibration data of the spindle at all times in the i-th successful process is smaller, it indicates that the cold pressing is less stable in this process. A smaller dispersion of vibration data means that friction, temperature, etc. are within a controllable range, indicating that the current speed is suitable in maintaining stable equipment operation and increasing oil yield. Therefore, the corresponding speed adaptation coefficient is correspondingly larger.

[0059] Conversely, if the difference between the average oil content before the i-th qualified cold pressing and the residual oil content after cold pressing is smaller, it indicates that the amount of oil successfully extracted in the i-th cold pressing is relatively small, and the pressing effect is poor. This suggests that the current spindle speed may be inefficient in oil extraction or too high, causing damage to the oil path, and the corresponding speed adaptation coefficient is small. At the same time, if the oil yield after the i-th qualified cold pressing is smaller, it indicates that the production efficiency of the i-th cold pressing process is low. This suggests that the current spindle speed may be too low, resulting in slow processing speed, or too high, causing the material to pass through the pressing zone too quickly without sufficient oil extraction. Therefore, the corresponding speed adaptation coefficient is small. In addition, if the dispersion of the vibration data of the spindle at all times in the i-th qualified process is larger, it indicates that the stability of cold pressing is worse during this process. A large dispersion of vibration data means that problems such as increased friction, increased temperature, and uneven stress on components may exceed the controllable range. This indicates that the current speed poses a risk in maintaining stable equipment operation and may affect the equipment's lifespan and continuous production. Therefore, the corresponding speed adaptation coefficient is correspondingly small.

[0060] Furthermore, in this embodiment, a preset number of qualified processes are clustered. The metric distance is set as the difference in the average oil content before cold pressing among qualified processes. That is, in this embodiment, the absolute value of the difference in the average oil content before cold pressing among qualified processes is used as the metric distance. The rotation speed adaptation coefficient of all qualified processes in each cluster is used as the input of the threshold segmentation algorithm, and the segmentation threshold is output. Qualified processes with a rotation speed adaptation coefficient greater than or equal to the segmentation threshold are regarded as good qualified processes, which are used to characterize efficient and stable cold pressing processes.

[0061] It should be noted that there are many commonly used clustering algorithms. In this embodiment, the k-means clustering algorithm is used to cluster qualified processes. The purpose is to cluster qualified processes with similar average oil content before cold pressing together. In practical applications, as other implementation methods, implementers can also use density clustering algorithms or other clustering methods according to specific circumstances. This embodiment does not impose any special restrictions on the selection of clustering methods. In addition, the elbow method is used in this embodiment to determine the number of clusters in the clustering algorithm.

[0062] Among them, the k-means clustering algorithm and the elbow method are well-known techniques, and their specific principles and processes will not be elaborated here.

[0063] It should be noted that there are many commonly used threshold segmentation algorithms. In this embodiment, the maximum inter-class variance algorithm is used to classify qualified processes. In actual applications, as other implementation methods, implementers can also set their own methods according to specific circumstances. This embodiment does not impose any special restrictions.

[0064] Among them, the Otsu's inter-class variance algorithm is a well-known technique, and its specific principle will not be elaborated here.

[0065] Thus, this embodiment constructs a rotation speed adaptation coefficient by analyzing oil extraction efficiency, production efficiency, and stability information, evaluates the rationality of the spindle speed in the cold pressing process, and further combines cluster analysis and threshold segmentation to screen out good qualified processes with high rotation speed adaptation coefficients that represent efficient and stable pressing. This embodiment dynamically adjusts the rotation speed according to the oil content of the raw material, effectively reducing the residual oil rate of the dry cake while ensuring that erucic acid meets the standards, thereby improving yield and efficiency, optimizing the cold pressing process of low erucic acid rapeseed oil, and reducing production costs.

[0066] S303: Construct regression equations between pressing temperature, spindle speed, and the average erucic acid content before and after cold pressing; based on the maximum and minimum values ​​of erucic acid content after cold pressing of all sub-qualified processes, and the average oil content and pressing temperature of all rapeseed before cold pressing in the current cold pressing process, and combined with the regression equations, determine the constraints of the optimization algorithm, and use the optimization algorithm to select the optimal qualified process from all good qualified processes in order to regulate the spindle speed of the current cold pressing process.

[0067] Although cold-pressed rapeseed oil uses low-erucic acid rapeseed as raw material, the change in the spindle speed during the pressing process of the integrated peeling and cold-pressing equipment will affect the pressing temperature. The pressing temperature will then affect the erucic acid content of the rapeseed after cold pressing. Therefore, if the initial erucic acid content is high, and the pressing temperature and spindle speed are not set properly, the erucic acid content may exceed the standard, thus affecting the quality of the oil.

[0068] Therefore, in order to improve the low erucic acid stability of subsequent cold-pressed rapeseed oil, it is first necessary to analyze the effects of the initial erucic acid content of the rapeseed raw material, the pressing temperature, and the spindle speed on the final erucic acid content of the rapeseed, and then optimize the boundary range of the spindle speed selection accordingly. The specific process is as follows:

[0069] This embodiment first constructs a regression equation between pressing temperature, spindle speed, and the average erucic acid content before and after cold pressing. Specifically:

[0070] In this embodiment, the average pressing temperature, spindle speed, and erucic acid content before cold pressing of a preset number of processes are used as independent variables of the regression model, and the average erucic acid content after cold pressing is used as the dependent variable of the regression model, resulting in a preset number of equations with unknown regression coefficients and residual terms.

[0071] Furthermore, the least squares method is used to solve the regression coefficients of each equation. The mean values ​​of the regression coefficients and residuals of the preset number of equations are calculated and denoted as the average regression coefficients and average residuals, respectively. The average regression coefficients and average residuals are substituted into the equations where the regression coefficients and residuals are unknown, to obtain the regression equations between the average values ​​of pressing temperature, spindle speed, and erucic acid content before cold pressing and the average value of erucic acid content after cold pressing.

[0072] The specific expression of the regression model is: P=β1×X+β2×Y+β3×Z+ε; where P represents the dependent variable of the regression model, which in this embodiment corresponds to the mean erucic acid content after cold pressing; X, Y, and Z are all independent variables in the regression model, which in this embodiment correspond to the pressing temperature, spindle speed, and mean erucic acid content before cold pressing, respectively; β1, β2, and β3 are the regression coefficients of the corresponding independent variables; and ε represents the residual term.

[0073] The principle of using the least squares method to solve the regression equation for regression coefficients and residuals is a well-known technique. The specific process of using the least squares method to solve the regression equation for regression coefficients and residuals will not be elaborated here.

[0074] Furthermore, considering that the initial oil content of rapeseed raw materials is inherently high, and the oil content varies significantly between different batches, while the residual oil content of the dried cake after cold pressing is usually low and the variation is also small, evaluating the rationality of the spindle speed setting solely through the speed adaptation coefficient may be inaccurate. Therefore, this embodiment uses the maximum value among the average erucic acid content after cold pressing of all sub-qualified processes, the average oil content of all rapeseed before cold pressing of the current sub-cold pressing process, and the pressing temperature, combined with the regression equation, to determine the constraints of the optimization algorithm. The optimization algorithm is then used to select the optimal qualified process from all good qualified processes to regulate the spindle speed of the current sub-cold pressing process, specifically:

[0075] As a specific implementation, in this embodiment, the maximum and minimum values among the mean erucic acid contents after a preset number of qualified cold pressing processes are respectively used as the values of the dependent variable in the regression equation. The mean oil content of all rapeseeds before cold pressing and the pressing temperature in the current cold pressing process are used as the values of the independent variables in the regression equation. By solving the regression equation, the main shaft speeds corresponding to the maximum and minimum values of the mean erucic acid content after cold pressing are obtained, denoted as s1 and s2 respectively. The constraint condition S is: min(s1, s2) < S < max(s1, s2), where min() and max() represent the minimum value function and the maximum value function respectively.

[0076] Further, the mean erucic acid content and the mean oil content before cold pressing of all good qualified processes, the mean erucic acid content, the residual oil rate and the oil yield after cold pressing of all rapeseeds, as well as the pressing temperature and the main shaft speed set during cold pressing are combined into a multi - tuple. The multi - tuple is used as the initial distribution position of the good qualified process in the optimization algorithm. R = max(A) is used as the objective function of the optimization algorithm, and min(s1, s2) < S < max(s1, s2) is used as the constraint condition of the optimization algorithm, that is, the safe constraint range of the speed. The optimal qualified process is output, and the main shaft speed of the optimal qualified process is used as the main shaft speed of the current cold pressing process, where A represents the speed adaptation coefficient of the current cold pressing process.

[0077] Preferably, the schematic diagram of the main shaft speed regulation process provided in this embodiment is as Figure 2 shown.

[0078] It should be noted that there are many commonly used optimization algorithms. In this embodiment, the dragonfly algorithm is used to select the optimal main shaft speed. The relevant parameters of the dragonfly algorithm are set in this embodiment as follows: the separation weight is 0.1, the alignment weight is 0.1, the aggregation weight is 0.7, the food factor is 1, the natural enemy weight is 1, the initial inertia weight is 0.9, and it linearly decreases to 0.4 with the number of iterations. The number of iterations is 30. In the actual application process, as other implementation manners, the implementer can also set it according to the specific situation by himself / herself, and this embodiment does not make special restrictions.

[0079] Among them, the dragonfly algorithm is a well - known technology, and the specific process of using it to iteratively optimize and screen the good qualified process to obtain the optimal qualified process will not be elaborated here.

[0080] Thus, this embodiment establishes a model, i.e., a regression equation, relating pressing temperature, rotation speed, initial erucic acid content, and final erucic acid content through regression analysis. Further, using the maximum and minimum erucic acid content values ​​across all qualified processes, along with the oil content and temperature of the current process, the safe range of rotation speed constraints is determined in conjunction with the regression equation. Finally, an optimization algorithm is employed to select the optimal qualified process within the constraints, aiming to maximize the rotation speed adaptation coefficient, and its rotation speed setting is applied to the current process. This method effectively ensures efficient oil extraction while considering the impact of differences in raw material oil content, strictly controlling erucic acid content to meet standards, and increasing the yield of low-erucic acid rapeseed oil.

[0081] Example 2

[0082] Example 2 provides a low-erucic acid rapeseed oil peeling and cold pressing process. For details, please refer to [link to relevant documentation]. Figure 1 The process includes the following steps:

[0083] S1: Remove stones from rapeseed and dry it.

[0084] In this embodiment, the drying time is 7 hours, and the remaining operations are the same as in Embodiment 1.

[0085] S2: Dehull and condition the dried rapeseed.

[0086] In this embodiment, the rotation speed during the peeling process is 1500 r / min, and the rest of the operation is the same as in Embodiment 1.

[0087] S3: The dehulled and conditioned rapeseed is cold-pressed using an integrated dehulling and cold-pressing equipment. The main shaft speed is adjusted by analyzing the effect of the main shaft speed on the rapeseed oil yield.

[0088] In this embodiment, the water temperature during the conditioning process is 20°C, the water spray volume is 2.5% of the rapeseed quantity, and the moisture content is 10.5% when the conditioning is completed. The remaining operations are the same as in Embodiment 1.

[0089] Example 3

[0090] Example 3 provides a low-erucic acid rapeseed oil peeling and cold pressing process. For details, please refer to [link to relevant documentation]. Figure 1 The process includes the following steps:

[0091] S1: Remove stones from rapeseed and dry it.

[0092] In this embodiment, the drying time is 8 hours, and the remaining operations are the same as in Embodiment 1.

[0093] S2: Dehull and condition the dried rapeseed.

[0094] In this embodiment, the rotation speed during the peeling process is 1550 r / min, and the rest of the operation is the same as in Embodiment 1.

[0095] S3: The dehulled and conditioned rapeseed is cold-pressed using an integrated dehulling and cold-pressing equipment. The main shaft speed is adjusted by analyzing the effect of the main shaft speed on the rapeseed oil yield.

[0096] In this embodiment, the water temperature during the conditioning process is 30°C, the amount of water sprayed is 3% of the amount of rapeseed, and the moisture content is 11% when the conditioning is completed. The remaining operations are the same as in Embodiment 1.

[0097] Based on the same inventive concept as the above method, this application embodiment also provides an integrated device for peeling and cold pressing low erucic acid rapeseed oil, including a memory, a processor, and a computer program stored in the memory and running on the processor. When the processor executes the computer program, it implements the steps of any one of the above-described methods for peeling and cold pressing low erucic acid rapeseed oil.

[0098] It should be noted that the order of the embodiments described above is merely for descriptive purposes and does not represent the superiority or inferiority of the embodiments. Furthermore, specific embodiments of this specification have been described above. Additionally, the processes depicted in the accompanying drawings do not necessarily require a specific or sequential order to achieve the desired results. In some implementations, multitasking and parallel processing are possible or may be advantageous.

[0099] The various embodiments in this specification are described in a progressive manner. The same or similar parts between the various embodiments can be referred to each other. Each embodiment focuses on describing the differences from other embodiments.

[0100] The above-described embodiments are only used to illustrate the technical solutions of this application, and are not intended to limit them; modifications to the technical solutions described in the foregoing embodiments, or equivalent substitutions of some of the technical features, do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of this application, and should all be included within the protection scope of this application.

Claims

1. A method for dehulling and cold-pressing low-erucic acid rapeseed oil, characterized in that, The process includes the following steps: S1: Remove stones from rapeseed and dry it; S2: Dehull and condition the dried rapeseed; S3: The dehulled and conditioned rapeseed is cold-pressed using an integrated dehulling and cold-pressing equipment. The effect of the spindle speed on the rapeseed oil yield is analyzed, and the spindle speed is adjusted accordingly. In a preset number of cold-pressing processes, the average erucic acid content and oil content of all rapeseed before cold pressing are obtained for each cold-pressing process, as well as the average erucic acid content, residual oil rate, and oil yield of all rapeseed after cold pressing, and the pressing temperature and spindle speed set during the cold pressing process are also obtained, and the vibration data of the spindle is obtained in real time. The cold-pressing process with an average erucic acid content less than the preset erucic acid threshold is recorded as a qualified process. By analyzing the differences between the average oil content of all rapeseed before cold pressing and the residual oil rate after cold pressing in each qualified process, as well as the dispersion of the spindle vibration data at all times, and combined with the oil yield, the spindle speed adaptation coefficient in each qualified process is determined in order to screen out good qualified processes. A regression equation was constructed to establish the relationships between pressing temperature, spindle speed, and the average erucic acid content before and after cold pressing. Based on the maximum and minimum values ​​of erucic acid content after cold pressing from all sub-qualified processes, the average oil content of all rapeseed before cold pressing and the pressing temperature for the current cold pressing process, and in conjunction with the regression equation, the constraints of the optimization algorithm were determined. The optimization algorithm was then used to select the optimal qualified process from all good qualified processes to regulate the spindle speed of the current cold pressing process. The expression for the spindle speed adaptation coefficient in each successful process is: In the formula, This represents the difference between the average oil content before the i-th qualified cold pressing process and the residual oil content after cold pressing; This represents the oil yield after the i-th qualified cold pressing process; This indicates the degree of dispersion of the spindle vibration data at all times during the i-th successful process. A constant representing a preset number greater than 0; Selecting good qualified processes includes: clustering a preset number of qualified processes, where the metric distance is set as the difference in the average oil content before cold pressing among qualified processes, using the rotation speed adaptation coefficient of all qualified processes in each cluster as the input of the threshold segmentation algorithm, outputting the segmentation threshold, and identifying qualified processes with a rotation speed adaptation coefficient greater than or equal to the segmentation threshold as good qualified processes.

2. The method for dehulling and cold-pressing low-erucic acid rapeseed oil as described in claim 1, characterized in that, The drying time is 6 to 8 hours.

3. The method for dehulling and cold-pressing low-erucic acid rapeseed oil as described in claim 1, characterized in that, The rotation speed during the peeling process is 1450~1550 r / min.

4. The method for dehulling and cold-pressing low-erucic acid rapeseed oil as described in claim 1, characterized in that, The water temperature during the conditioning process is 10~30℃, the amount of water sprayed is 2%~3% of the amount of rapeseed, and the moisture content is 10%~11% when the conditioning is completed.

5. The method for dehulling and cold-pressing low-erucic acid rapeseed oil as described in claim 1, characterized in that, Regression equations were constructed between pressing temperature, spindle speed, and the mean erucic acid content before and after cold pressing, including: Using the average pressing temperature, spindle speed, and erucic acid content before cold pressing for a predetermined number of processes as the independent variables of the regression model, and the average erucic acid content after cold pressing as the dependent variable of the regression model, a predetermined number of regression coefficients and residual terms are obtained. The least squares method is used to solve the regression coefficients of each equation. The mean values ​​of the regression coefficients and residuals of the predetermined number of equations are calculated and denoted as the average regression coefficient and the average residual, respectively. The average regression coefficients and the average residuals are substituted into the equations where the regression coefficients and residuals are unknown, so as to obtain the regression equations between the average values ​​of pressing temperature, spindle speed and erucic acid content before cold pressing and the average values ​​of erucic acid content after cold pressing.

6. The method for dehulling and cold-pressing low-erucic acid rapeseed oil as described in claim 1, characterized in that, The method for determining the constraints of the optimization algorithm is as follows: The maximum and minimum values ​​of the average erucic acid content after cold pressing of a predetermined number of qualified processes are taken as the dependent variables in the regression equation. The average oil content of all rapeseed before cold pressing and the pressing temperature are taken as the independent variables in the regression equation. The regression equation is solved to obtain the spindle speeds corresponding to the maximum and minimum values ​​of the average erucic acid content after cold pressing, denoted as s1 and s2 respectively. The constraint condition S is: In the formula, min() and max() represent the minimum value function and the maximum value function, respectively.

7. The method for dehulling and cold-pressing low-erucic acid rapeseed oil as described in claim 6, characterized in that, An optimization algorithm is used to select the optimal qualified process from all good qualified processes in order to control the spindle speed of the current cold pressing process, including: The average erucic acid content and oil content of all qualified processes before cold pressing, the average erucic acid content, residual oil rate, and oil yield of all rapeseed after cold pressing, and the set pressing temperature and spindle speed during cold pressing are combined into a tuple. This tuple is used as the initial distribution position of qualified processes in the optimization algorithm. As the objective function of the optimization algorithm, As a constraint condition for the optimization algorithm, the optimal qualified process is output, and the spindle speed of the optimal qualified process is used as the spindle speed of the current cold pressing process, where A represents the speed adaptation coefficient of the current cold pressing process.

8. A low-erucic acid rapeseed oil peeling and cold pressing integrated device, comprising a memory, a processor, and a computer program stored in the memory and running on the processor, characterized in that, When the processor executes the computer program, it implements a low-erucic acid rapeseed oil peeling and cold pressing process as described in any one of claims 1-7.

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