Raw material crushing device for cereal meal replacement powder and crushing energy-saving control method

Abstract

The invention relates to the technical field of grain grinding, in particular to a raw material crushing device for grain meal replacement powder and a crushing energy-saving control method. The method comprises the steps of firstly obtaining pressure data and vibration data of a raw material crushing device; further obtaining a change coefficient of each piece of pressure data according to the change characteristics of the pressure data with adjacent time sequences in combination with the offset characteristics of the pressure data and the minimum pressure data; further correcting the pressure data according to the variation trend of the vibration data at the same moment and the difference characteristic of the variation coefficient of the pressure data to obtain corrected pressure data; finally, the feeding depth is adjusted according to the fluctuation characteristics of the corrected pressure data, the problems of uneven pressure and mechanical jamming caused by one-time decompression are avoided, the raw materials are evenly treated in the scattering process, the mechanical load is reduced, energy is saved, and the scattering efficiency is improved.

Description

Technical Field

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

[0002] To improve processing efficiency and economic benefits, existing raw material crushing equipment will temporarily store different raw materials after they are matured. The different types of mature cereal meal replacement powder ingredients are packaged at the discharge port in food-grade breathable packaging bags, which are compacted layer by layer to form a tight bundle.

[0003] However, the moisture content of cooked grains is usually high, and due to the high content of starch and other ingredients, the grains inside the food-grade breathable packaging bags are prone to agglomeration, etc., which can easily lead to uneven feeding during the subsequent drying and crushing process. The crushing equipment requires additional energy to overcome the irregular accumulation of raw materials and uneven material flow during operation, which will cause the motor and other transmission components to operate under high load, significantly increasing energy consumption. It may also lead to incomplete crushing, affecting the actual processing efficiency. Summary of the Invention

[0004] In order to solve the technical problem that the agglomeration of cereal raw materials affects processing efficiency and increases energy consumption, the purpose of the present invention is to provide a raw material grinding device and a grinding energy-saving control method for cereal meal replacement powder. The technical solutions adopted are as follows:

[0005] A method for controlling energy-saving pulverization of a raw material pulverizing device for cereal meal replacement powder, the method comprising:

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

[0007] Obtaining a coefficient of variation of each pressure data item based on the variation characteristics of adjacent pressure data items in time series and combining the offset characteristics of the pressure data items with the minimum pressure data item; and correcting the pressure data to obtain corrected pressure data based on the difference characteristics between the variation trend of the vibration data items at the same moment and the variation coefficients of the pressure data items.

[0008] The feed depth is adjusted according to the fluctuation characteristics of the corrected pressure data.

[0009] Furthermore, the method of correcting the pressure data to obtain corrected pressure data based on the difference characteristics between the change trend of the vibration data and the change coefficient of the pressure data at the same time includes:

[0010] Acquire a change trend parameter of each vibration data according to the change trend of the vibration data;

[0011] Obtaining a correlation strength coefficient at each moment according to a difference characteristic between the change trend parameter and the change coefficient of the vibration data at each moment;

[0012] The pressure data is corrected according to the correlation strength coefficient between the vibration data and the pressure data at each moment to obtain corrected pressure data.

[0013] Furthermore, the method for obtaining the change trend parameter includes:

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

[0015] Furthermore, the method for obtaining the coefficient of variation includes:

[0016] The absolute value of the difference between each pressure data and the pressure data adjacent to the right side of the time series is used as the numerator, the difference between the pressure data adjacent to the right side of the time series of the pressure data and the minimum pressure data, and the sum of the preset zero-dividing positive parameter are used as the denominator, and the fractional ratio is normalized as the change coefficient corresponding to the pressure data.

[0017] Furthermore, the method for obtaining the correlation strength coefficient includes:

[0018] After negative correlation mapping is performed on the absolute value of the difference between the variation coefficient at each moment and the variation trend parameter, the mapping value is used as the correlation strength coefficient at each moment.

[0019] Furthermore, the method of correcting the pressure data to obtain corrected pressure data based on the correlation strength coefficient between the vibration data and the pressure data at each moment includes:

[0020] 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 moment is used as the corrected pressure data;

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

[0022] Furthermore, the method for adjusting the feed depth according to the fluctuation characteristics of the corrected pressure data includes:

[0023] Obtaining a fluctuation intensity coefficient according to a fluctuation intensity characteristic of the corrected pressure data;

[0024] The optimal feed depth is obtained according to the fluctuation intensity coefficient and the preset feed depth; the fluctuation intensity coefficient is negatively correlated with the optimal feed depth; and the preset feed depth is positively correlated with the optimal feed depth.

[0025] Furthermore, the method for obtaining the optimal feeding depth includes:

[0026] The fluctuation intensity coefficient is negatively correlated and mapped to serve as an adjustment coefficient; and the product of the adjustment coefficient and the preset feeding depth is used as the optimal feeding depth.

[0027] Furthermore, the calculation formula of the fluctuation intensity coefficient includes:

[0028] The variance of the corrected pressure data is used as a fluctuation intensity coefficient.

[0029] The present invention also proposes a raw material grinding device for cereal meal replacement powder, which includes a memory, a processor, and a computer program stored in the memory and runnable on the processor. When the processor executes the computer program, it implements any one of the steps of the grinding energy-saving control method for the raw material grinding device of cereal meal replacement powder.

[0030] The present invention has the following beneficial effects:

[0031] The present invention first obtains pressure data and vibration data of the raw material crushing device to obtain an analysis basis; further, by comparing the offsets of adjacent pressure data with the minimum pressure and combining the changes of adjacent data, the variation coefficient of each pressure data is obtained, which can better describe the dynamic change characteristics of the pressure of the raw materials during the dispersion process, and can also highlight the local pressure mutation caused by the existence of layer gaps, so that the entire control system can more easily capture the change information at critical moments; further, according to the difference characteristics of the change trend of the vibration data and the variation coefficient of the pressure data at the same time, the pressure data is corrected to obtain corrected pressure data, eliminating the random influence of the raw material bundling layer depth, effectively weakening the random noise influence caused by non-raw material collisions in the system, enhancing the credibility of the data, and improving the accuracy of subsequent adjustment of the feeding depth; finally, according to the fluctuation characteristics of the corrected pressure data, the feeding depth is adjusted, so that the raw materials are evenly processed during the dispersion process, reducing the mechanical load, realizing refined layered dispersion, saving energy and improving the dispersion efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] In order to more clearly illustrate the technical solutions and advantages of the embodiments of the present invention or the prior art, the following briefly introduces the drawings required for use in the embodiments or the prior art descriptions. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0033] Figure 1 A schematic diagram of a raw material grinding device for cereal meal replacement powder provided by one embodiment of the present invention;

[0034] Figure 2 This is a flow chart of a method for controlling energy-saving pulverization of a raw material pulverizing device for cereal meal replacement powder provided by one embodiment of the present invention;

[0035] Figure 3 The present invention provides a flowchart of a method for obtaining corrected pressure data according to an embodiment of the present invention.

[0036] The numbers in the figure are: 1. Motor; 2. Drive plate; 3. Connecting rod; 4. Push rod; 5. Push rod slide; 6. Scrapping seat; 7. Scrapping needle; 8. Partition; 9. Raw material; 10. Conveyor belt roller; 11. Conveyor belt. DETAILED DESCRIPTION

[0037] In order to further illustrate the technical means and effects adopted by the present invention to achieve the predetermined purpose of the invention, the following, in combination with the accompanying drawings and preferred embodiments, describes in detail the specific implementation method, structure, characteristics and effects of a raw material crushing device and crushing energy-saving control method for a cereal meal replacement powder proposed by the present invention. In the following description, different "one embodiment" or "another embodiment" does not necessarily refer to the same embodiment. In addition, specific features, structures or characteristics in one or more embodiments may be combined in any suitable form.

[0038] Unless defined otherwise, 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 invention belongs.

[0039] The following describes in detail a specific scheme of a raw material grinding device and a grinding energy-saving control method for cereal meal replacement powder provided by the present invention in conjunction with the accompanying drawings.

[0040] See also Figure 1 , which shows a schematic diagram of a raw material grinding device for cereal meal replacement powder provided by one embodiment of the present invention; Figure 1 The winning bid numbers are: 1. Motor; 2. Drive plate; 3. Connecting rod; 4. Push rod; 5. Push rod slide; 6. Breaking seat; 7. Breaking needle; 8. Partition; 9. Raw material; 10. Conveyor belt roller; 11. Conveyor belt.

[0041] When the raw material crushing device of the 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, and the raw material 9 can be fed and loaded. The raw material 9 is position-restricted by the cross-partition plate 8 to prevent the raw material 9 from deviating from the conveyor belt 11 after being crushed. The motor 1 drives the transmission disk 2 to rotate, and drives the connecting rod 3 to move, and acts on the push rod 4 to realize reciprocating motion in the push rod slide 5. The scattering seat 6 applies pressure to the raw material 9 under the action of the push rod 4, and the scattering needle 7 is inserted into the raw material 9. At this time, part of the raw material 9 is separated from the whole, and falls on the conveyor belt 11 and is sent to the crusher to complete the raw material crushing.

[0042] In order to improve processing efficiency and economic benefits, existing raw material crushing equipment usually discharges the raw materials directly after one-time crushing. However, in the actual production process of cereal meal replacement powder, multiple types of cereals need to undergo different processing techniques such as maturation and drying to achieve proportional mixing, including different types of cereals such as quinoa, white kidney beans, peas, oats, brown rice, etc. Therefore, different cereals need to be temporarily stored after maturation to efficiently cope with the processing rhythm of various raw materials and avoid reduced production efficiency due to equipment idleness or long waiting time. Food-grade breathable packaging bags or boxes are usually used for storage within 1-2 days, and the moisture and temperature and humidity environment are strictly controlled.

[0043] As the raw materials 9 gradually accumulate, the particles at the bottom are compressed by the gravity of the raw materials 9 above them, and the stacking pressure gradually increases with the height of the stack. This pressure increases the contact area between the particles, generating greater friction and compression 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 migrates further to the contact points under pressure, acting as a "natural adhesive" and significantly enhancing the adhesion between the particles.

[0044] As more grains are piled up, the pressure of the stacking layers causes the underlying grains to become even tighter, gradually filling the gaps between the grains. The surface of the grains becomes more firmly bonded due to the presence of water, oil, or starch gelatinized substances. Some grains (such as white beans or peas) undergo partial starch gelatinization during the cooking process, and the gelatinized material forms a sticky film upon cooling. Grains with a high oil content (such as oats or quinoa) may release a certain amount of oil during storage. These substances will further solidify or oxidize under conditions of pressure, temperature, and humidity, thereby strengthening the bond between the grains. As storage time increases, this layer-by-layer compaction and adhesion process will continue to repeat, causing the originally loose grains to gradually evolve into larger block structures.

[0045] Since there is less interpenetration of the intermediate products of the raw materials 9 between the layers, the raw materials 9 have a higher compactness within their layers but a lower compactness between the layers. Therefore, in the process of using the dispersing device to disperse the raw materials, the relationship between the raw material feeding depth and the raw material bundling layer depth can be judged by the state change of the raw materials 9, thereby achieving refined layered dispersing, saving energy and improving dispersing efficiency.

[0046] During the breaking up process, the pressure on the breaking up 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 bundled raw material layer, it is equivalent to the pressure of the breaking up seat 6 on the raw material 9 needing to divide the raw material layer into two. At this time, the pressure on the compressed part of the raw material will increase, and will interact with the entire raw material 9, causing the raw material 9 to vibrate as a whole. After crushing, the raw material blocks collide with the cross partition 8. The larger the raw material blocks, the greater the vibration of the machine. Therefore, it is necessary to carefully analyze the breaking up changes of the reciprocating motion of each breaking up device.

[0047] Therefore, a pressure sensor is installed at the tip of the beating needle 7 to extract pressure data, and a vibration sensor is installed on the diaphragm 8 to analyze the state changes of the raw material 9 during beating. The pressure sensor and the vibration sensor are selected to have the same sampling time interval, and the sampling period is set to the duration of one reciprocating motion of the beating device, that is, the completion of one beating operation.

[0048] See also Figure 2 , which shows a flow chart of a method for controlling energy-saving pulverization of a raw material pulverizing device for cereal meal replacement powder according to one embodiment of the present invention, specifically comprising:

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

[0050] In one embodiment of the present invention, considering that the agglomeration of a batch of cereal raw materials is similar, the same control method can be used, and the acquisition frequency is set to 100 Hz to collect pressure data and vibration data of a raw material crushing device during a single breaking operation as a basis for analysis.

[0051] In another embodiment of the present invention, it is possible to set the data collection for multiple sampling periods, that is, multiple breaking operations, and also to set a control interval, such as controlling the raw material crushing device once every hour.

[0052] Step S2: According to the change characteristics of the adjacent pressure data in time series, combined with the offset characteristics of the pressure data and the minimum pressure data, the change coefficient of each pressure data is obtained; according to the difference characteristics of the change trend of the vibration data at the same moment and the change coefficient of the pressure data, the pressure data is corrected to obtain the corrected pressure data.

[0053] While the depth of the bundled layers within the raw material 9 cannot be directly determined, the pressure change reflected in the raw material 9 is a significant decrease in the pressure data. The pressure change during the breakup is primarily affected by the relationship between the right side (in the feed direction) and the raw material 9. If the raw material feed depth remains constant, and the bundled layers of the raw material 9 are within the layer gap at a certain sampling moment, the pressure on the breakup seat 6 will be significantly reduced, indicating that the breakup is easier. Therefore, the lower the pressure, the greater the impact of the layer gap, and the smaller the vibration effect of the raw material 9.

[0054] Taking into account that the minimum pressure data within the sampling period corresponds to the layer gap, it can be used to determine whether the current pressure state is under the influence of the layer gap. By comparing the offset between adjacent pressure data and the minimum pressure, this "fault" phenomenon can be sensitively captured. By using the changes in adjacent data, the dynamic change characteristics of the pressure of the raw material 9 during the dispersion process can be better described. It can also highlight the local pressure mutation caused by the existence of the layer gap, making it easier for the entire control system to capture the change information at the critical moment. Therefore, according to the change characteristics of the adjacent pressure data in time series, 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 pressure changes is efficiently captured, reflecting the impact of the inter-layer interval on the process, facilitating the dynamic adjustment of the feed depth, saving energy while improving processing efficiency, and reducing equipment wear and excessive vibration.

[0055] Preferably, in one embodiment of the present invention, the absolute value of the difference between each pressure data point and the adjacent pressure data point to the right of the time series is used as the numerator, the sum of the difference between the adjacent pressure data point to the right of the time series point and the minimum pressure data point and a preset positive factor dividing by zero is used as the denominator, and the fractional ratio is normalized to serve as the coefficient of variation of the corresponding pressure data point. Here, the right side is the positive direction of the time series.

[0056] The formula for calculating the coefficient of variation includes:

[0057]

[0058] Where i represents the serial number of the acquisition time; BK i represents the coefficient of variation of the i-th pressure data; norm() represents the 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+1th pressure data; || represents the absolute value sign; y0 represents the minimum value of the pressure data; C0 represents a preset zero-dividing positive parameter, in this example, C0=0.01.

[0059] In the calculation formula of the coefficient of variation, the change characteristics of the pressure data adjacent in time series are expressed by the absolute value of the difference, the offset characteristics of the pressure data and the minimum pressure data are expressed by the difference, and the denominator is prevented from being zero by means of a preset positive division parameter.

[0060] In another embodiment of the present invention, the pressure data adjacent to the left side of the time series of the pressure data can be calculated, such as Or use the adjacent pressure data on both sides for calculation, such as

[0061] Since the vibration data changes detected by the diaphragm 8 are not only affected by the vibration of the raw materials 9 under greater pressure, but also by the vibration of the motor 1, connecting rod 3, conveyor belt 11 and other equipment, when the pressure between the scattering device and the raw materials 9 changes significantly, that is, when the raw materials 9 collide with the diaphragm 8, its vibration data will show a more obvious vibration change trend. Correspondingly, only the pressure data changes that correspond to the vibration change trend have a higher confidence level. When the two show a clear correspondence, it means that the pressure data is more likely to reflect the actual state of the raw material bundling layer.

[0062] Therefore, according to the difference characteristics of the change trend of the vibration data and the change 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 random influence of the depth of the raw material bundling layer, effectively weaken the influence of random noise caused by non-raw material collisions in the system, enhance the credibility of the data, and 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 invention, see Figure 3 , which shows a flow chart of a method for obtaining corrected pressure data provided by an embodiment of the present invention, 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, it is first necessary to obtain the variation trend parameters of each vibration data according to the variation trend of the vibration data to facilitate comparison.

[0066] Considering that the changing trend of vibration data can be measured by the slope, and because 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 changing trend parameter at the corresponding moment to characterize the changing trend of the vibration data.

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

[0068] It should be noted that when obtaining the slope of vibration data, 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 can be performed, and the tangent slope on the curve can be obtained as the slope; median filtering can also be used for smoothing, which and mean filtering are both existing technologies and will not be repeated here.

[0069] Step S202: Obtaining the correlation strength coefficient at each moment based on the difference characteristics of the variation trend parameter and the variation coefficient of the vibration data at each moment.

[0070] Considering that the smaller the absolute value of the difference between the variation coefficient and the variation trend parameter at the same moment, the smaller the difference between the two, and the stronger the correlation between the changes in vibration data and pressure data, the variation coefficient at each moment and the absolute value of the difference between the variation trend parameter are negatively correlated and mapped, and the mapped value is used as the correlation strength coefficient at each moment.

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

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

[0073] Where i represents the serial number of the acquisition time; BK i Indicates the coefficient of variation of the i-th pressure data; XY i k represents the correlation strength coefficient between the vibration data and pressure data at the i-th moment; i It represents the changing trend parameter of the i-th vibration data; exp() represents the exponential function with the natural constant e as the base; || represents taking the absolute value.

[0074] In the calculation formula of the correlation strength coefficient, |BK i -k i | is used as the independent variable of the exp(-x) function for negative correlation mapping, and the logical relationship is adjusted to obtain the correlation strength coefficient, which reflects the difference characteristics of the change trend of the vibration data and the change coefficient of the pressure data at the same time. The smaller the correlation strength coefficient, the greater the difference characteristics, where x represents the independent variable.

[0075] Step S203: Correcting the pressure data to obtain corrected pressure data according to the correlation strength coefficient between the vibration data and the pressure data at each moment.

[0076] After obtaining the correlation strength coefficient that characterizes the correlation between the changes in vibration data and pressure data, the pressure data can be corrected to obtain corrected pressure data, thereby improving the confidence of the data.

[0077] Considering that when the correlation strength coefficient is small, it means that the correlation between the changes in pressure data and vibration data is weak, the weight of the data is reduced at this time. Therefore, when the correlation strength coefficient is less than or equal to the preset correlation threshold, the product of the correlation strength coefficient and the pressure data at the corresponding moment is used as the corrected pressure data; the influence of the pressure data is reduced by multiplying it with the correlation strength coefficient.

[0078] Considering that when the correlation strength coefficient is large, the trends of vibration data and pressure data are more consistent, when the correlation strength coefficient is greater than the preset correlation threshold, the pressure data at the corresponding moment is used as the corrected pressure data to retain the real and valid pressure data.

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

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

[0081] Taking into account that different feeding depths have different effects on the dispersion of raw material layers, resulting in different pressure data fluctuation characteristics, the feeding depth is adjusted according to the fluctuation characteristics of the corrected pressure data, so that the raw materials are evenly treated during the dispersion process, achieving refined layered dispersion, avoiding the consumption of more energy to overcome the adhesion and unevenness between layers of the raw materials 9 due to excessive feeding, as well as the unnecessary mechanical collisions and additional energy consumption caused, reducing mechanical load, saving energy and improving dispersion efficiency.

[0082] Preferably, in one embodiment of the present invention, considering that when the raw material feeding depth reaches the optimal state, the stratification effect between the raw material layers is better in each reciprocating motion cycle, the breaking process is more uniform, and the fluctuation of the pressure data is smaller, the more intense the fluctuation of the corrected pressure data is, the more it indicates that the reciprocating motion of the breaking seat 6 driven by the raw material feeding depth at this time does not effectively break up the layers. At this time, it is necessary to reduce the raw material feeding depth to reduce the raw material accumulation;

[0083] Based on this, the fluctuation intensity coefficient is obtained according to the fluctuation intensity characteristics of the corrected pressure data;

[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 used as the fluctuation intensity coefficient. After negative correlation mapping, the fluctuation intensity coefficient is used as the adjustment coefficient; the product of the adjustment coefficient and the preset feed depth is used as the optimal feed depth. The calculation formula for the optimal feed depth includes:

[0086]

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

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

[0089] As another example, the formula for calculating the optimal feed depth includes: α is the adjustment coefficient, which is used to control the adjustment range of the feed depth. The larger α is, the larger the maximum adjustment range is.

[0090] In another embodiment of the present invention, iterative control is set until norm(Δσ(y i )) is relatively small, stop the iteration, specifically: after each adjustment of the feed depth, collect the data of a sampling cycle after the adjustment, calculate the latest norm(Δσ(y i )), when norm(Δσ(y i )) is greater than or equal to the set iteration threshold, such as 0.1, it is determined to continue the iteration, h″=[1-norm(Δσ(y i ))]×h′, h′ represents the latest feed depth before the latest iteration, and h′′ represents the feed depth after the latest iteration; until norm(Δσ(y i )) is less than 0.1, the iteration is stopped, and the latest feed depth is the optimal feed depth.

[0091] It should be noted that the preset feed depth is the maximum feed depth when the raw material crushing device is set, which can be obtained through the product manual and is no longer limited here.

[0092] One embodiment of the present invention also provides a raw material grinding device for cereal meal replacement powder, which includes a memory, a processor and a computer program, wherein the memory is used to store the corresponding computer program, and the processor is used to run the corresponding computer program. When the computer program is running in the processor, it can implement the grinding energy-saving control method of the raw material grinding device for cereal meal replacement powder described in steps S1-S3.

[0093] In summary, in order to solve the technical problem that the agglomeration of cereal raw materials affects processing efficiency and increases energy consumption, a raw material crushing device and a crushing energy-saving control method for cereal meal replacement powder are provided. The present invention first obtains the pressure data and vibration data of the raw material crushing device; further, according to the change characteristics of the pressure data adjacent in time sequence, combined with the offset characteristics of the pressure data and the minimum pressure data, the change coefficient of each pressure data is obtained; further, according to the difference characteristics of the change trend of the vibration data at the same moment 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 uneven pressure and mechanical jamming problems caused by one-time decompression, so that the raw materials are evenly processed during the breaking process, reducing the mechanical load.

[0094] It should be noted that the order in which the embodiments of the present invention are described above is for illustrative purposes only and does not necessarily represent the superiority or inferiority of the embodiments. The processes depicted in the accompanying drawings do not necessarily require the specific order or sequential order shown to achieve the desired results. In certain embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0095] The various embodiments in this specification are described in a progressive manner, and the same or similar parts between the various embodiments can be referred to each other. Each embodiment focuses on the differences from other embodiments.

Claims

1. A method for controlling energy saving of a grinding device for a raw material grinding of a cereal meal replacement powder, characterized in that: The method comprises: Obtain pressure data and vibration data of the raw material crushing device; Obtaining a coefficient of variation of each pressure data item based on the variation characteristics of adjacent pressure data items in time series and combining the offset characteristics of the pressure data items with the minimum pressure data item; and correcting the pressure data to obtain corrected pressure data based on the difference characteristics between the variation trend of the vibration data items at the same moment and the variation coefficients of the pressure data items. The feed depth is adjusted according to the fluctuation characteristics of the corrected pressure data.

2. The method for controlling energy saving of a pulverizing device for a raw material pulverizing of a cereal meal replacement powder according to claim 1, characterized in that: The method of correcting the pressure data to obtain corrected pressure data based on the difference between the change trend of the vibration data and the change coefficient of the pressure data at the same time includes: Acquire a change trend parameter of each vibration data according to the change trend of the vibration data; Obtaining a correlation strength coefficient at each moment according to a difference characteristic between the change trend parameter and the change coefficient of the vibration data at each moment; The pressure data is corrected according to the correlation strength coefficient between the vibration data and the pressure data at each moment to obtain corrected pressure data.

3. The method for controlling energy saving of a pulverizing device for a raw material pulverizing of a cereal meal replacement powder according to claim 1, characterized in that: The method for obtaining the change trend parameter includes: The slope of the vibration data at each moment is mean filtered using a preset neighborhood window, and the slope value after filtering is used as the change trend parameter at the corresponding moment.

4. The method for controlling energy saving of a pulverizing device for a raw material pulverizing of a cereal meal replacement powder according to claim 2, characterized in that: The method for obtaining the coefficient of variation includes: The absolute value of the difference between each pressure data and the pressure data adjacent to the right side of the time series is used as the numerator, the difference between the pressure data adjacent to the right side of the time series of the pressure data and the minimum pressure data, and the sum of the preset zero-dividing positive parameter are used as the denominator, and the fractional ratio is normalized as the change coefficient corresponding to the pressure data.

5. The method for controlling energy saving of a pulverizing device for a raw material pulverizing of a cereal meal replacement powder according to claim 2, characterized in that: The method for obtaining the correlation strength coefficient includes: After negative correlation mapping is performed on the absolute value of the difference between the variation coefficient at each moment and the variation trend parameter, the mapping value is used as the correlation strength coefficient at each moment.

6. The method for controlling energy saving of a pulverizing device for a raw material pulverizing of a cereal meal replacement powder according to claim 5, characterized in that: The method of correcting the pressure data to obtain corrected pressure data according to the correlation strength coefficient between the vibration data and the pressure data at each moment includes: 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 moment is used as the corrected pressure data; When the correlation strength coefficient is greater than a preset correlation threshold, the pressure data at the corresponding moment is used as the corrected pressure data.

7. The method for controlling energy saving of a pulverizing device for a raw material pulverizing of a cereal meal replacement powder according to claim 1, characterized in that: The method for adjusting the feed depth according to the fluctuation characteristics of the corrected pressure data includes: Obtaining a fluctuation intensity coefficient according to a fluctuation intensity characteristic of the corrected pressure data; The optimal feed depth is obtained according to the fluctuation intensity coefficient and the preset feed depth; the fluctuation intensity coefficient is negatively correlated with the optimal feed depth; and the preset feed depth is positively correlated with the optimal feed depth.

8. The method for controlling energy saving of a pulverizing device for a raw material pulverizing of a cereal meal replacement powder according to claim 7, characterized in that: The method for obtaining the optimal feeding depth includes: The fluctuation intensity coefficient is negatively correlated and mapped to serve as an adjustment coefficient; the product of the adjustment coefficient and the preset feeding depth is used as the optimal feeding depth.

9. The method for controlling energy saving of a pulverizing device for a raw material pulverizing of a cereal meal replacement powder according to claim 7, characterized in that: The calculation formula of the volatility coefficient includes: The variance of the corrected pressure data is used as a fluctuation intensity coefficient.

10. A raw material grinding device for 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: When the processor executes the computer program, the steps of the grinding energy-saving control method of the raw material grinding device of the cereal meal replacement powder as described in any one of claims 1 to 9 are implemented.

Images