Raw material grinding device and grinding energy-saving control method of a cereal meal replacement powder

Abstract

The present application relates to the technical field of grain milling, in particular to a raw material crushing device for grain meal replacement powder and a crushing energy-saving control method. First, the pressure data and vibration data of the raw material crushing device are obtained; further, according to the change characteristics of the time-series adjacent pressure data, the offset characteristics of the pressure data and the smallest pressure data are combined to obtain the change coefficient of each pressure data; further, according to the difference characteristics of the change trend of the vibration data at the same time and the change coefficient of the pressure data, the pressure data is corrected to obtain the corrected pressure data; finally, according to the fluctuation characteristics of the corrected pressure data, the feeding depth is adjusted to avoid the problems of uneven pressure and mechanical jam caused by one-time decompression, so that the raw materials are uniformly treated during the scattering process, the mechanical load is reduced, the energy is saved, and the scattering efficiency is improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of grain milling, in particular to a raw material crushing device for grain meal replacement powder and a crushing energy-saving control method. BACKGROUND

[0002] In order to improve processing efficiency and economic benefits, the existing raw material crushing device will temporarily store different raw materials after they are cooked. Different types of cooked raw materials for grain meal replacement powder are packaged using food-grade breathable packaging bags at the discharge port, and the raw materials are compressed layer by layer to form a compact bundle.

[0003] However, cooked grain particles usually have a high water content, and due to the high content of starch and other substances, the grain particles inside the food-grade breathable packaging bag are prone to caking and other conditions, which can cause uneven feeding during the subsequent drying and crushing process. The crushing equipment needs additional energy to overcome irregular raw material accumulation and uneven material flow when it is working, which can cause the motor and other transmission components to operate under high load, thereby significantly increasing energy consumption, and also can cause incomplete crushing and affect the actual processing efficiency. SUMMARY

[0004] In order to solve the technical problems of grain raw material caking affecting processing efficiency and increasing energy consumption, the purpose of the present application is to provide a raw material crushing device for grain meal replacement powder and a crushing energy-saving control method, and the technical solution adopted is as follows:

[0005] A crushing energy-saving control method for a raw material crushing device for grain meal replacement powder, the method comprising:

[0006] Obtaining pressure data and vibration data of the raw material crushing device;

[0007] According to the change characteristics of the time-series adjacent pressure data, combining the offset characteristics of the pressure data and the smallest pressure data, obtaining the change coefficient of each pressure data; according to the difference characteristics of the change trend of the vibration data at the same time and the change coefficient of the pressure data, correcting the pressure data to obtain corrected pressure data;

[0008] According to the fluctuation characteristics of the corrected pressure data, adjusting the feeding depth.

[0009] Further, the method of correcting the pressure data according to the difference characteristics of the change trend of the vibration data at the same time and the change coefficient of the pressure data to obtain corrected pressure data comprises:

[0010] According to the change trend of the vibration data, obtaining a change trend parameter of each vibration data;

[0011] According to the difference characteristics of the change trend parameter and the change coefficient of the vibration data at each moment, an association strength coefficient at each moment is obtained;

[0012] According to the association strength coefficient of the vibration data and the pressure data at each moment, the pressure data is corrected to obtain corrected pressure data.

[0013] Further, the change trend parameter acquisition method comprises:

[0014] The slope of the vibration data at each moment is subjected to mean filtering with a preset neighborhood window, and the filtered slope value is taken as the change trend parameter at the corresponding moment.

[0015] Further, the change coefficient acquisition method comprises:

[0016] The absolute value of the difference between each pressure data and the pressure data adjacent to the right of the time sequence is taken as the numerator, the sum of the difference between the pressure data adjacent to the right of the time sequence and the minimum pressure data and a preset zero positive parameter is taken as the denominator, and the fractional ratio after normalization is taken as the change coefficient of the corresponding pressure data.

[0017] Further, the association strength coefficient acquisition method comprises:

[0018] The absolute value of the difference between the change coefficient at each moment and the change trend parameter is subjected to negative correlation mapping, and the mapping value is taken as the association strength coefficient at each moment.

[0019] Further, the method of correcting the pressure data according to the association strength coefficient of the vibration data and the pressure data at each moment to obtain corrected pressure data comprises:

[0020] When the association strength coefficient is less than or equal to a preset association threshold, the product of the association strength coefficient and the pressure data at the corresponding moment is taken as the corrected pressure data;

[0021] When the association strength coefficient is greater than the preset association threshold, the pressure data at the corresponding moment is taken as the corrected pressure data.

[0022] Further, the method of adjusting the feed depth according to the fluctuation characteristics of the corrected pressure data comprises:

[0023] According to the fluctuation intensity characteristics of the corrected pressure data, a fluctuation intensity coefficient is obtained;

[0024] According to the fluctuation severity coefficient and a preset feeding depth, an optimal feeding depth is obtained; the fluctuation severity coefficient is negatively correlated with the optimal feeding depth; and the preset feeding depth is positively correlated with the optimal feeding depth.

[0025] Further, the method for obtaining the optimal feeding depth comprises:

[0026] After the fluctuation severity coefficient is negatively correlated and mapped, the fluctuation severity coefficient is taken as an adjustment coefficient; and a product of the adjustment coefficient and the preset feeding depth is taken as the optimal feeding depth.

[0027] Further, the calculation formula of the fluctuation severity coefficient comprises:

[0028] The variance of the corrected pressure data is taken as the fluctuation severity coefficient.

[0029] The application further provides a raw material crushing device for grain meal replacement powder, which comprises a storage, a processor, and a computer program stored in the storage and executable on the processor, and the processor implements the steps of the energy-saving control method for the raw material crushing device of any one of the grain meal replacement powder.

[0030] The application has the following beneficial effects:

[0031] The application first obtains pressure data and vibration data of the raw material crushing device to obtain an analysis basis; further, by comparing the deviation of adjacent pressure data from the minimum pressure and combining the change of adjacent data, the change coefficient of each pressure data is obtained, which can preferably describe the dynamic change characteristics of the pressure of the raw material in the scattering process and highlight the local pressure mutation caused by the interlayer gap, so that the whole control system can more easily capture the change information at the key moment; further, according to the difference characteristics of the change trend of the vibration data at the same time and the change coefficient of the pressure data, the pressure data is corrected to obtain corrected pressure data, the randomness of the raw material baling layer depth is eliminated, the random noise caused by the non-raw material collision in the system is effectively weakened, the credibility of the data is enhanced, and the accuracy of the subsequent adjustment of the feeding depth is improved; finally, according to the fluctuation characteristics of the corrected pressure data, the feeding depth is adjusted, so that the raw material is uniformly treated in the scattering process, the mechanical load is reduced, the fine layered scattering is realized, the energy is saved, and the scattering efficiency is improved. BRIEF DESCRIPTION OF DRAWINGS

[0032] In order to more clearly illustrate the technical solutions and advantages of the embodiments of the application or the prior art, the following will briefly introduce the drawings needed to be used in the embodiments or the prior art description. Obviously, the drawings in the following description are only some embodiments of the application, and for those skilled in the art, other drawings can also be obtained without creative labor.

[0033] Figure 1 A schematic view of a raw material crushing device of a grain meal replacement powder according to an embodiment of the present application;

[0034] Figure 2 A flow chart of a crushing energy-saving control method of a raw material crushing device of a grain meal replacement powder according to an embodiment of the present application;

[0035] Figure 3 A flow chart of a method for acquiring corrected pressure data according to an embodiment of the present application.

[0036] In the figure, reference numerals are: 1, motor; 2, transmission disc; 3, connecting rod; 4, push rod; 5, push rod sliding groove; 6, scattering seat; 7, scattering needle; 8, transverse partition plate; 9, raw material; 10, conveyor belt roller; 11, conveyor belt. DETAILED DESCRIPTION

[0037] In order to further illustrate the technical means and effects taken by the present application to achieve the predetermined purposes, the following describes in detail the specific embodiments, structures, features and effects of a raw material crushing device of a grain meal replacement powder and a crushing energy-saving control method according to the present application, with reference to the accompanying drawings and preferred embodiments. In the following description, different "one embodiment" or "another embodiment" do not necessarily refer to the same embodiment. In addition, the specific features, structures or characteristics in one or more embodiments can be combined in any suitable form.

[0038] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which the present application belongs.

[0039] The following describes in detail the specific scheme of a raw material crushing device of a grain meal replacement powder and a crushing energy-saving control method according to the present application, with reference to the accompanying drawings.

[0040] Please refer to Figure 1 which shows a schematic view of a raw material crushing device of a grain meal replacement powder according to an embodiment of the present application; Figure 1 In the figure, reference numerals are: 1, motor; 2, transmission disc; 3, connecting rod; 4, push rod; 5, push rod sliding groove; 6, scattering seat; 7, scattering needle; 8, transverse partition plate; 9, raw material; 10, conveyor belt roller; 11, conveyor belt.

[0041] When the raw material crushing device for cereal meal replacement powder is working, the power is turned on, and the raw material 9 to be crushed is placed on the conveyor belt 11. The conveyor belt roller 10 drives the conveyor belt 11 to work, which can feed the raw material 9. The position of the raw material 9 is restricted by the cross partition 8 to prevent the position of the raw material 9 from deviating from the conveyor belt 11 after being crushed. The motor 1 drives the transmission disc 2 to rotate and drives the connecting rod 3 to move, which in turn acts on the push rod 4 to achieve reciprocating motion in the push rod groove 5. The dispersing seat 6 applies pressure to the raw material 9 under the action of the push rod 4. The dispersing needle 7 is inserted into the raw material 9. At this time, part of the raw material 9 separates from the whole and falls onto the conveyor belt 11 and is sent into the crusher to complete the crushing of the raw material.

[0042] To improve processing efficiency and economic benefits, existing raw material crushing devices typically crush and discharge the material directly after a single operation. However, the actual production process of cereal meal replacement powder requires various types of grains to undergo different processing techniques such as cooking and drying to achieve a proper blending ratio. These grains include quinoa, white kidney beans, peas, oats, brown rice, and other different types of grains. Therefore, different grains need to be temporarily stored after cooking to efficiently handle the processing rhythm of various raw materials and avoid reduced production efficiency due to equipment idleness or excessive waiting time. Typically, food-grade breathable packaging bags or boxes are used for storage within 1-2 days, with strict control over moisture and temperature / humidity.

[0043] As raw material 9 gradually accumulates, the bottom particles are compressed by the gravity of the raw material 9 above, and the accumulation pressure gradually increases with the increase of the stacking height. This pressure increases the contact area between particles and generates greater friction and squeezing force at the contact points. For grains with high moisture content or sticky surfaces (such as cooked peas, oats, or white kidney beans), the moisture on the particle surface will further migrate to the contact points under pressure, acting as a "natural adhesive" and significantly enhancing the adhesion between particles.

[0044] As more grains accumulate, the increasing pressure from the layers further increases the compactness of the bottom layer, gradually filling the gaps between the grains. The grain surfaces become more firmly bonded due to the presence of moisture, oil, or starch gelatinized substances. Some grains (such as white kidney beans or peas) undergo partial starch gelatinization during the cooking process, and the gelatinized material forms a sticky film upon cooling. Grains with higher oil content (such as oats or quinoa) may release a certain amount of oil during storage. These substances will further solidify or oxidize under varying pressure, temperature, and humidity conditions, thereby strengthening the bond between the grains. As storage time increases, this process of layer-by-layer compaction and bonding repeats continuously, causing the originally loose grains to gradually evolve into larger, blocky structures.

[0045] Since the intermediate product of the raw material 9 between the layers is less interpenetrated, the raw material 9 has higher compactness within the layer and lower compactness between the layers, so in the process of scattering by the scattering device, the relationship between the raw material feeding depth and the raw material baling layer depth can be judged by the state change of the raw material 9, fine layered scattering is realized, energy is saved, and scattering efficiency is improved.

[0046] In the process of scattering, the pressure on the scattering needle 7 mainly comes from the compressed part of the raw material 9. When the volume of the compressed part of the raw material 9 is smaller than the baled raw material layer, it is equivalent to the pressure of the scattering seat 6 on the raw material 9 at this time, which needs to divide the raw material layer into two parts. At this time, the pressure of the raw material compressed part will increase, and will interact with the whole raw material 9, causing the whole raw material 9 to vibrate, and the broken raw material blocks will collide with the transverse partition plate 8. The larger the raw material block, the greater the vibration of the machine, so it is necessary to analyze the scattering change of each scattering device reciprocating motion in detail.

[0047] Therefore, by setting a pressure sensor on the tip of the scattering needle 7 to extract pressure data, and setting a vibration sensor on the transverse partition plate 8, the state change of the raw material 9 during scattering is analyzed. The pressure sensor and the vibration sensor select the same sampling time interval, and the sampling period is set to the length of one reciprocating motion of the scattering device, that is, the length of one scattering operation.

[0048] Please refer to Figure 2 , which shows a flow chart of a crushing energy-saving control method of a raw material crushing device of a grain meal replacement powder provided by an embodiment of the present application, specifically comprising:

[0049] Step S1: Obtain the pressure data and vibration data of the raw material crushing device.

[0050] In an embodiment of the present application, considering that the agglomeration of a batch of grain raw materials is similar, the same control method can be used, and the collection frequency is set to 100Hz. The pressure data and vibration data of the raw material crushing device in one scattering operation are collected as the basis for analysis.

[0051] In another embodiment of the present application, multiple sampling periods, i.e. multiple scattering operations, can be set, and the control interval can also be set, such as controlling the raw material crushing device once an hour.

[0052] Step S2: According to the change characteristics of the time-series adjacent pressure data, combining the offset characteristics of the pressure data and the minimum pressure data, obtain the change coefficient of each pressure data; according to the difference characteristics of the change trend of the vibration data at the same time and the change coefficient of the pressure data, correct the pressure data to obtain the corrected pressure data.

[0053] Since the layer depth of the raw material bale in the raw material 9 cannot be directly obtained, but the pressure change of the raw material 9 reflects a significant decrease in the pressure data: the pressure change of the breaking is mainly affected by the correlation of the right part (the feeding direction) with the raw material 9. When the bale layer of the raw material 9 is just in the layer gap at a certain sampling time, the pressure on the breaking seat 6 at this moment will be significantly reduced, that is, the breaking difficulty is lower. Therefore, the smaller the pressure received is, the greater the influence of the layer interval at this time, and the smaller the vibration of the raw material 9.

[0054] Considering that the minimum pressure data in the sampling period corresponds to the layer gap, it can be used to judge whether the current pressure state is under the influence of the layer gap. By comparing the offset of the adjacent pressure data and the minimum pressure, the "fault" phenomenon can be sensitively captured. By using the change of the adjacent data, the dynamic change characteristics of the pressure of the raw material 9 in the breaking process can be well described, and the local pressure mutation caused by the existence of the layer gap can be highlighted, so that the whole control system can more easily capture the change information at the key moment. Therefore, according to the change characteristics of the time-series adjacent pressure data, combined with the offset characteristics of the pressure data and the minimum pressure data, the change coefficient of each pressure data is obtained; the dynamic behavior of the pressure change is efficiently captured, the influence of the layer interval on the process is reflected, the feeding depth is dynamically adjusted, energy is saved, the processing efficiency is improved, and equipment wear and excessive vibration are reduced.

[0055] Preferably, in an embodiment of the present application, the absolute value of the difference between each pressure data and the time-series adjacent pressure data on the right side is taken as the numerator, the sum of the difference between the time-series adjacent pressure data on the right side of the pressure data and the minimum pressure data and the preset positive zero parameter is taken as the denominator, and the fractional ratio after normalization is taken as the change coefficient of the corresponding pressure data. Wherein, right is the time-series positive direction.

[0056] The calculation formula of the change coefficient includes:

[0057]

[0058] Wherein, i represents the serial number of the collection time; BK i represents the change coefficient of the i th pressure data; norm() represents a linear normalization function; y i represents the data value of the i th pressure data; y i+1 represents the data value of the i+1 th pressure data; || represents the absolute value symbol; y0 represents the minimum value of the pressure data; C0 represents the preset positive zero parameter, in this example, C0=0.01.

[0059] In the calculation formula of the variation coefficient, the variation characteristics of the time-series adjacent pressure data are represented by the absolute value of the difference, the offset characteristics of the pressure data and the minimum pressure data are represented by the difference, and the preset zero-division positive parameter is used to prevent the denominator from being zero.

[0060] In another embodiment of the present application, the time-series left adjacent pressure data of the pressure data can be calculated, such as or the two adjacent pressure data are calculated at the same time, such as

[0061] Since the diaphragm 8 monitors the change of the vibration data, not only the vibration condition of the raw material 9 under a large pressure, but also the vibration of the motor 1, the connecting rod 3, the conveyor belt 11 and other equipment, and when the scattering device and the raw material 9 have a large pressure change, that is, the raw material 9 collides with the diaphragm 8, the vibration data shows a more obvious vibration change trend, and only the pressure data corresponding to the vibration change trend has a higher confidence, and when the two are obviously corresponding, it means that the pressure data is more likely to reflect the true state of the raw material bundling level;

[0062] Therefore, according to the difference characteristics of the vibration data change trend and the variation coefficient of the pressure data at the same time, the pressure data is corrected to obtain the corrected pressure data, which can effectively eliminate the randomness of the raw material bundling level depth, effectively weaken the random noise caused by non-raw material collision in the system, and enhance the credibility of the data. It can be used to judge the rationality of the raw material feeding depth and adjust the feeding depth.

[0063] Preferably, in one embodiment of the present application, please refer to Figure 3 which shows a flowchart of a method for obtaining corrected pressure data provided by one embodiment of the present application, specifically comprising:

[0064] Step S201: obtaining a change trend parameter of each vibration data according to the change trend of the vibration data.

[0065] Considering that the variation coefficient represents the variation characteristics of the pressure data, in order to compare the changes of the vibration data and the pressure data, first, the change trend parameter of each vibration data is obtained according to the change trend of the vibration data, which is convenient for comparison.

[0066] Considering that the change trend of the vibration data can be measured by the slope, and since the vibration data may be affected by random fluctuations in a short period of time, a preset neighborhood window is used to perform mean filtering on the slope, which can smooth the data and reduce noise interference. The filtered slope value is used as the change trend parameter of the corresponding time, representing the change trend of the vibration data.

[0067] As an example, the length of the preset neighborhood window is 5, and the data at both ends is not subjected to mean filtering.

[0068] It should be noted that when the slope of the vibration data is obtained, the difference between adjacent data points can be calculated as the slope, or the vibration data can be mapped to a two-dimensional coordinate system, curve fitting is performed, and the tangent slope on the curve is obtained as the slope; median filtering can also be used for smoothing, which is also a prior art and will not be described in detail.

[0069] Step S202: According to the difference characteristics of the change trend parameter and the change coefficient of the vibration data at each moment, the correlation strength coefficient of each moment is obtained.

[0070] It is considered that the smaller the absolute value of the difference between the change coefficient and the change trend parameter at the same moment, the smaller the difference between the two, and the stronger the correlation between the change of the vibration data and the pressure data. Therefore, after negatively correlating the absolute value of the difference between the change coefficient and the change trend parameter at each moment, the mapping value is taken as the correlation strength coefficient of each moment.

[0071] As an example, the calculation formula of the correlation strength coefficient includes:

[0072] XY i =exp(-|BK i -k i |);

[0073] Wherein, i represents the serial number of the collection moment; BK i represents the change coefficient of the i-th pressure data; XY i represents the correlation strength coefficient of the i-th moment of the vibration data and the pressure data; k i represents the change trend parameter of the i-th vibration data; exp() represents the exponential function with natural constant e as the base number; || represents taking the absolute value.

[0074] In the calculation formula of the correlation strength coefficient, |BK i -k i | is taken as the independent variable of the exp(-x) function for negatively correlated mapping, adjusting the logical relationship to obtain the correlation strength coefficient, reflecting the difference characteristics of the change trend of the vibration data and the change coefficient of the pressure data at the same moment. The smaller the correlation strength coefficient, the greater the difference characteristics, wherein x represents the independent variable.

[0075] Step S203: According to the correlation strength coefficient of the vibration data and the pressure data at each moment, the pressure data is corrected to obtain the corrected pressure data.

[0076] After the correlation strength coefficient is obtained, the pressure data can be corrected to obtain corrected pressure data, and the confidence of the data is improved.

[0077] When the correlation strength coefficient is small, it indicates that the correlation between the pressure data and the vibration data is weak, and the weight of the data is reduced at this time. Therefore, when the correlation strength coefficient is less than or equal to a preset correlation threshold, the product of the correlation strength coefficient and the pressure data at the corresponding time is taken as the corrected pressure data. The influence of the pressure data is reduced by multiplying the correlation strength coefficient.

[0078] When the correlation strength coefficient is large, the trend of the vibration data and the pressure data is consistent. Therefore, when the correlation strength coefficient is greater than the preset correlation threshold, the pressure data at the corresponding time is taken as the corrected pressure data, and the real and effective pressure data is retained.

[0079] As an example, the preset correlation threshold is 0.65.

[0080] Step S3: Adjust the feeding depth according to the fluctuation characteristics of the corrected pressure data.

[0081] Different feeding depths have different effects on the dispersion of the raw material level, causing different pressure data fluctuation characteristics. Therefore, the feeding depth is adjusted according to the fluctuation characteristics of the corrected pressure data, so that the raw material is uniformly processed during the dispersion process, realizing fine layered dispersion, avoiding excessive energy consumption to overcome the adhesion of the raw material 9 and the unevenness between the layers, unnecessary mechanical collision and additional energy consumption, reducing the mechanical load, saving energy and improving the dispersion efficiency.

[0082] Preferably, in an embodiment of the present application, when the raw material feeding depth reaches the optimal state, the layered effect between the raw material layers is better in each reciprocating motion cycle, the dispersion process is more uniform, and the fluctuation of the pressure data is smaller. Therefore, the more intense the fluctuation of the corrected pressure data is, the more it indicates that the reciprocating motion of the dispersion seat 6 pushed by the raw material feeding depth does not effectively disperse the layers at this time. At this time, the raw material feeding depth needs to be reduced to reduce the amount of raw material accumulation.

[0083] Therefore, according to the fluctuation intensity characteristics of the corrected pressure data, a fluctuation intensity coefficient is obtained.

[0084] The optimal feeding depth is obtained according to the fluctuation intensity coefficient and the preset feeding depth. The fluctuation intensity coefficient is negatively correlated with the optimal feeding depth. The preset feeding depth is positively correlated with the optimal feeding depth.

[0085] As an example, the variance of the corrected pressure data is taken as the fluctuation intensity coefficient. After negative correlation mapping of the fluctuation intensity coefficient, the fluctuation intensity coefficient is taken as the adjustment coefficient; the product of the adjustment coefficient and the preset feeding depth is taken as the optimal feeding depth. The calculation formula of the optimal feeding depth comprises:

[0086]

[0087] wherein, represents the optimal feeding depth; norm() represents a linear normalization function; Δσ(y i ) represents the variance of the corrected pressure data; h represents the preset feeding depth; [1-norm(Δσ(y i ))] represents the adjustment coefficient.

[0088] In the calculation formula of the optimal feeding depth, the fluctuation characteristics of the corrected pressure data are represented by the variance. The greater the variance of the corrected pressure data, the smaller the adjustment coefficient after negative correlation mapping, the greater the reduction degree of the preset feeding depth, and the smaller the optimal feeding depth.

[0089] As another example, the calculation formula of the optimal feeding depth comprises: α is the adjustment coefficient, which is used to control the adjustment range of the feeding depth. The greater α is, the greater the maximum adjustment range is.

[0090] In another embodiment of the present application, iterative control is set until norm(Δσ(y i )) is small, and the iteration is stopped. Specifically, after each adjustment of the feeding depth, data of one sampling period after the adjustment is collected, the latest norm(Δσ(y i )) is calculated, and when norm(Δσ(y i )) is greater than or equal to a set iteration threshold value such as 0.1, it is determined to continue iteration, h″=[1-norm(Δσ(y i ))]×h′, h′ represents the latest feeding depth before the latest iteration, and h′ represents the feeding depth after the latest iteration. When norm(Δσ(y i )) is less than 0.1, the iteration is stopped, and the latest feeding depth is the optimal feeding depth.

[0091] It should be noted that the preset feeding depth is the maximum feeding depth set when the raw material crushing device is set, which can be obtained through a product manual and is not limited herein.

[0092] The raw material crushing device of the grain meal replacement powder also provides a raw material crushing device of the grain meal replacement powder, and a crushing energy-saving control method of the raw material crushing device.

[0093] In summary, in view of the technical problems that the caking of the grain raw material affects the processing efficiency and increases the energy consumption, the raw material crushing device of the grain meal replacement powder and the crushing energy-saving control method are provided. The pressure data and the vibration data of the raw material crushing device are first acquired; further, the change coefficient of each pressure data is acquired according to the change characteristics of the time-sequentially adjacent pressure data, and in combination with the offset characteristics of the pressure data and the minimum pressure data; further, the modified pressure data is obtained by correcting the pressure data according to the difference characteristics of the change trend of the vibration data at the same time and the change coefficient of the pressure data; finally, the feeding depth is adjusted according to the fluctuation characteristics of the modified pressure data, so as to avoid the problems of uneven pressure and mechanical jam caused by one-time decompression, so that the raw material is uniformly treated in the scattering process, and the mechanical load is reduced.

[0094] It should be noted that the above-mentioned embodiment sequence of the present application is only for description, and does not represent the advantages and disadvantages of the embodiments. The processes depicted in the drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multi-task processing and parallel processing are also possible or may be advantageous.

[0095] Each embodiment in the specification is described in a progressive manner, and the same and similar parts between each embodiment can be referred to each other. Each embodiment mainly describes the differences from other embodiments.

Claims

1. A comminution energy-saving control method for a raw material comminution device of a cereal meal replacement powder, characterized by, The method comprises: acquiring pressure data and vibration data of a raw material crushing device; obtaining a change coefficient of each pressure data according to a change feature of the pressure data in time sequence and a deviation feature of the pressure data and the minimum pressure data; correcting the pressure data according to a difference feature of a change trend of the vibration data at the same time and the change coefficient to obtain corrected pressure data; adjusting the feeding depth according to a fluctuation feature of the corrected pressure data; the method for correcting the pressure data to obtain corrected pressure data comprises: obtaining a change trend parameter of each vibration data according to the change trend of the vibration data; obtaining a correlation intensity coefficient of each time according to a difference feature of the change trend parameter and the change coefficient of the vibration data at each time; correcting the pressure data according to the correlation intensity coefficient of the vibration data and the pressure data at each time to obtain corrected pressure data; the method for obtaining the correlation intensity coefficient comprises: negatively correlating the absolute value of the difference between the change coefficient and the change trend parameter at each time, and taking the mapped value as the correlation intensity coefficient at each time; the method for adjusting the feeding depth comprises: obtaining a fluctuation intensity coefficient according to the fluctuation feature of the corrected pressure data; obtaining an optimal feeding depth according to the fluctuation intensity coefficient and a preset feeding depth; the fluctuation intensity coefficient is negatively correlated with the optimal feeding depth; the preset feeding depth is positively correlated with the optimal feeding depth.

2. The comminution energy-saving control method of a raw material comminution device for a cereal meal replacement powder according to claim 1, characterized by, the method for obtaining the change trend parameter comprises: performing mean filtering on the slope of the vibration data at each time with a preset neighborhood window, and taking the filtered slope value as the change trend parameter at the corresponding time.

3. The method of claim 1, wherein the method is characterized by: the method for obtaining the change coefficient comprises: taking the absolute value of the difference between each pressure data and the pressure data adjacent to the right of the time sequence as the numerator, taking the sum of the difference between the pressure data adjacent to the right of the time sequence and the minimum pressure data and a preset positive zero parameter as the denominator, normalizing the fraction ratio to obtain the change coefficient of the corresponding pressure data.

4. The comminution energy-saving control method of a raw material comminution device of a cereal meal replacement powder according to claim 1, characterized by, the method for correcting the pressure data to obtain corrected pressure data according to the correlation intensity coefficient of the vibration data and the pressure data at each time comprises: when the correlation intensity coefficient is less than or equal to a preset correlation threshold, taking the product of the correlation intensity coefficient and the pressure data at the corresponding time as the corrected pressure data; when the correlation intensity coefficient is greater than the preset correlation threshold, taking the pressure data at the corresponding time as the corrected pressure data.

5. The method of claim 1, wherein the method is characterized by: the method for obtaining the optimal feeding depth comprises: negatively correlating the fluctuation intensity coefficient to obtain an adjustment coefficient, and taking the product of the adjustment coefficient and the preset feeding depth as the optimal feeding depth.

6. The comminution energy-saving control method of a raw material comminution device for a cereal meal replacement powder according to claim 1, characterized by, the calculation formula of the fluctuation intensity coefficient comprises: taking the variance of the corrected pressure data as the fluctuation intensity coefficient.

7. A raw material grinding device for a cereal meal replacement powder, the device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that, The processor implements the steps of the crushing energy-saving control method of the raw material crushing device of the cereal meal replacement powder according to any one of claims 1-6 when executing the computer program.

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