Grain aleurone layer extraction method, rice mill control system and storage medium

Abstract

The invention discloses a cereal aleurone layer extraction method, a rice mill control system and a storage medium, the relationship between the emery roll control frequency of a novel rice mill and the single milling depth and the relationship between the opening degree of the novel rice mill and the milling times of the same object are established, and the cereal aleurone layer can be accurately extracted by adopting the method provided by the invention. The frequency quantity of the frequency converter of the rice mill is controlled, that is, the single-time milling depth is controlled by controlling the emery roll control frequency, and experiments prove that aleurone layers of grains can be accurately extracted. The discharging opening degree of the rice mill is controlled, so that the milling frequency is more accurately controlled, and the accuracy and reliability of aleurone layer extraction are improved.

Description

Technical Field

[0001] The invention relates to grain processing technology, in particular to a method for extracting aleurone from grains, a rice milling machine control system and a storage medium. Background Art

[0002] The new rice machine is different from the general rice machine: (1) General rice mills use a large rice milling chamber. One rice mill is one (or two) large rice milling chambers. However, the new rice mills use the differential idea to divide a large rice milling chamber into several small rice milling chambers.

[0003] (2) The processing methods of general rice mills are "grinding" and "cutting" (iron rollers are "grinding" and "rubbing"); while the processing method of new rice mills is mainly "cutting", which significantly weakens the "grinding" because the extrusion pressure of the divided single rice milling chamber is weaker and there are fewer collisions and tumbling.

[0004] (3) The most important thing is that the control elements of the two are different. The general rice machine can directly perform closed-loop control through rice milling pressure or current feedback. The new rice machine is different. The rice milling chamber has become several, and there is no condition or necessity to measure the rice milling pressure. At the same time, on the one hand, it provides frequency conversion control of the sand roller, and changes the speed of the sand roller through frequency conversion operation. The minimum control unit is 0.1Hz; on the other hand, it also provides precise control of the opening and closing degree of the feeding and discharging, and the minimum control unit can reach 0.1% of the entire opening and closing range; any change in any control element can bring about a change in the rice machine current, and even bring about a corresponding change in the processing technology.

[0005] For new rice machines, the change of current is composed of complex factors. The combined changes of multiple control elements can cause current fluctuations or not, but can bring significant changes in the processing technology, namely: (1) There is no corresponding or linear relationship between current and processing technology.

[0006] (2) The changing factors that make up the current are diversified, and the linear relationship between the control factors and the current is lost.

[0007] Therefore, the intelligent control method and algorithm for online closed-loop extraction of the endosperm based on a universal rice machine are completely unsuitable for the process requirements of extracting the endosperm with a new rice machine.

[0008] The endosperm layer has become the most valuable raw material for functional and health foods due to its rare characteristics of functional effectiveness, safety and naturalness. Therefore, whether from the perspective of food security or the requirements of residents' health, the extraction of endosperm layer will become the core demand of grain processing in the future.

[0009] The new rice machine, with its uniform processing, can better meet the precise processing requirements for extracting the endosperm. Although its output is only 1 / 4-1 / 3 of that of the general rice machine, the new rice machine will still have a place in the future. Summary of the invention

[0010] The technical problem to be solved by the present invention is to provide a method for extracting aleurone layer of grains, a rice milling machine control system and a storage medium to accurately extract aleurone layer of grains in view of the deficiencies in the prior art.

[0011] In order to solve the above technical problems, the technical solution adopted by the present invention is: a method for extracting aleurone layer of grains, which is implemented by a rice milling machine system, wherein the rice milling machine system comprises a plurality of rice milling machines arranged in sequence, wherein the plurality of rice milling machines arranged in sequence are divided into four groups, and each group comprises M rice milling machines; the method comprises: In the i-th rice milling process, the frequency of the inverter that needs to be adjusted ΔMi is expressed as: ΔMi=mzi×ΔZ-myi×ΔYmi; i=1, 2; ΔZ=Z-Z0, Z is the percentage of class Z detected in the i-th rice milling process, Z0 is the maximum allowable value of class Z in the i-th rice milling process, mzi is the change of class Z in the i-th rice milling process with the change of the emery roller speed control frequency, my1 is the change of the total number of classes E, F, G, H, and I in the first rice milling process with the change of the emery roller speed control frequency, ΔYm1=the sum of the number of classes E, F, G, H, and I in the first rice milling process-Ym10, Ym10 is the maximum allowable value of the sum of the number of classes E, F, G, H, and I in the first rice milling process, my2 is the change of the total number of classes F, G, H, and I in the second rice milling process with the change of the emery roller speed control frequency, ΔYm2 = the sum of the quantities of F, G, H, and I in the second rice milling process - Ym20, where Ym20 is the maximum allowable value of the sum of the quantities of F, G, H, and I in the second rice milling process; In the j-th rice milling process, the frequency of the frequency converter ΔMj that needs to be adjusted is expressed as: ΔMj=myj×ΔYmj-mkj×ΔIj; j=3, 4; my3 is the change in the total number of categories A, B, and C in the third rice milling process as the frequency of the emery roller speed control changes, my4 is the change in the total number of categories A, B, C, and D in the fourth rice milling process as the frequency of the emery roller speed control changes, ΔYm3 is the sum of the number of detection values ​​of categories A, B, and C in the third rice milling process, ΔYm4 is the sum of the number of detection values ​​of categories A, B, C, and D in the fourth rice milling process, mk3 is the change in category I in the third rice milling process as the frequency of the emery roller speed control changes, mk4 is the change in category I in the fourth rice milling process as the frequency of the emery roller speed control changes, and ΔIj is the detection value of category I in the j-th rice milling process; Classes Z, A, B, C, D, E, F, G, H, and I are defined as grains with no cortex milled, 20% cortex milled, 50% cortex milled, 80% cortex milled, 100% cortex milled, 20% aleurone milled, 50% aleurone milled, 80% aleurone milled, 100% aleurone milled, and milled to the endosperm, respectively.

[0012] The present invention controls the frequency of the frequency converter of the rice mill, that is, controls the single grinding depth by controlling the frequency of the sand roller. Experiments have shown that the present invention can accurately extract the aleurone layer of grains. The control process of the present invention is simple and reliable.

[0013] The method of the present invention further comprises: The frequency of the frequency converter required to be adjusted in the i-th rice milling process and / or the j-th rice milling process is correspondingly superimposed on the frequency converter frequency of the i-th rice milling machine and / or the j-th rice milling machine.

[0014] To further the method of the present invention further comprises: In the first rice milling process, the opening and closing degree change ΔN1 of the opening and closing plates that need to be adjusted in each rice mill is expressed as: ΔN1=na1×ΔA+nb1×ΔB-nc1×ΔC1-ny1×ΔYn1; In the second rice milling process, the opening and closing degree change ΔN2 of the opening and closing plates that need to be adjusted in each rice mill is expressed as: ΔN2=n(a+b)2×Δ(A+B)+nc2×ΔC2+nd2×ΔD2-ny2×ΔYn2; In the third rice milling process, the opening and closing degree change ΔN3 of the opening and closing plates that need to be adjusted in each rice mill is expressed as: ΔN3=n(a+b+c)3×Δ(A+B+C)+nd3×ΔD3+ne3×ΔE+nf3×ΔF-ng3×ΔG3-nh3×ΔH3; In the fourth rice milling process, the opening and closing degree change ΔN4 of the opening and closing plates that need to be adjusted in each rice mill is expressed as: ΔN4=ny4×ΔYn4+ng4×ΔG4+nh4×ΔH4-ni4×ΔI4; na1 is the change of category A in the first rice milling process as the opening and closing degree of the discharge changes, nb1 is the change of category B in the first rice milling process as the opening and closing degree of the discharge changes, nci is the change of category C in the i-th rice milling process as the opening and closing degree of the discharge changes, ny1 is the change of the total number of categories D, E, F, G, H, and I in the first rice milling process as the opening and closing degree of the discharge changes, ny2 is the change of the total number of categories E, F, G, H, and I in the second rice milling process as the opening and closing degree of the discharge changes, ny4 is the change of the total number of categories A, B, C, D, E, and F in the fourth rice milling process as the opening and closing degree of the discharge changes , n(a+b)2 is the change in the sum of the number of categories A and B in the second rice milling process as the opening and closing degree of the discharge changes, n(a+b+c)3 is the change in the sum of the number of categories A, B, and C in the third rice milling process as the opening and closing degree of the discharge changes, ΔA=the detection value of category A in the first rice milling process-A0, A0 is the maximum allowable value of category A in the first rice milling process, ΔB=100%-the detection value of category B in the first rice milling process, ΔCi=the detection value of category C in the i-th rice milling process-C0i, C0i is the maximum allowable value of category C in the i-th rice milling process, ΔYn1 is the sum of the detection values ​​of categories D, E, F, G, H, and I in the first rice milling process- Yn10, Δ(A+B)=the sum of the detection values ​​of class A and class B in the second rice milling process-the maximum allowable values ​​of class A and class B in the second rice milling process, Δ(A+B+C) is the sum of the detection values ​​of class A, B, and C in the third rice milling process, nd2 and nd3 are the changes of class D in the second and third rice milling processes as the discharge opening and closing degree changes, ne3, nf3, ng3, and nh3 are the changes of class E, F, G, and H in the third rice milling process as the discharge opening and closing degree changes, ng4, nh4, and ni4 are the changes of class G, H, and I in the fourth rice milling process as the discharge opening and closing degree changes, ΔD2=100 %-the detection value of Class D in the second rice milling process, ΔD3=the detection value of Class D in the third rice milling process-5%, ΔYn2=the sum of the quantities of Class F, G, H, and I in the second rice milling process-(the maximum allowable value of the sum of the quantities of Class F, G, H, and I), ΔE=the detection value of Class E in the third rice milling process-15%, ΔF=100%-the detection value of Class F in the third rice milling process, ΔGj=the detection value of Class G in the jth rice milling process-10%, ΔH3 is the detection value of Class H in the third rice milling process, ΔH4=100%-the detection value of Class H in the fourth rice milling process, ΔYn4 is the sum of the detection values ​​of Class A, B, C, D, E, and F in the fourth rice milling process.

[0015] The present invention further controls the discharging opening and closing degree of the rice milling machine, thereby more accurately controlling the number of milling times, and further improving the accuracy and reliability of the aleurone layer extraction.

[0016] In the expressions of ΔN1~ΔN4, the process of determining the variation of various data caused by the change of the discharge opening and closing degree in the sth rice milling process includes: For the sth rice milling process, adjust the frequency of the sand roller speed frequency conversion controller of all rice milling machines in the rice milling process to RHz, adjust the discharge opening and closing degree to Q%, and maintain it for more than T minutes; Obtain the first-class detection value L and the second-class detection value Yn of each rice milling machine in N rounds in the rice milling process; s=i, j; Calculate the average value of the first type of detection value of the first rice milling machine in N rounds in the rice milling process to obtain L s1-1 Calculate the average value of the second type of detection value of the first rice milling machine N rounds in the rice milling process to obtain Yn s-1 ; The first-class detection values ​​of all rounds of the second, third, and fourth rice milling machines in the rice milling process are combined to obtain Ls234; the second-class detection values ​​of all rounds of the second, third, and fourth rice milling machines in the rice milling process are combined to obtain Yns234; The discharge opening and closing degree of the first rice milling machine in the rice milling process is adjusted to (Q+0.1)%, and maintained for T minutes. The average value of the first type of detection value of the first rice milling machine in N rounds in the rice milling process is calculated to obtain L s1-1a ; Calculate the average value of the second type of detection values ​​of the 2nd, 3rd, and 4th rice mills in the rice milling process in N rounds, and get Yn s1-1a ; Combine the first-class detection values ​​of all rounds of the 2nd, 3rd, and 4th rice milling machines in the rice milling process to obtain Ls234a; Combine the second-class detection values ​​of all rounds of the 2nd, 3rd, and 4th rice milling machines in the rice milling process to obtain Yns234a; Then: the change nt of the t-type data in the s-th rice milling process caused by the change of the opening and closing degree of the k-th rice milling machine s-k Expressed as: nt s-k =dM / [(L s1-1a -L s1-1 )-(Ls234a - Ls234)]; t=a, b, c, d, (a+b), (a+b+c), e, f, g, h, i; dM is a constant; The change ny of the remaining data types other than the t type data in the sth rice milling process caused by the change of the opening and closing degree of the kth rice milling machine s-k Expressed as: ny s-k =dM / [(Yn s1-1a -Yn s-1 )-(Yns234a-Yns234)]; Adjust the frequency of the sand roller speed variable frequency controller to N different frequency values, and calculate nt at the corresponding frequency value. s-kandny s-k , calculate nt at all frequency values ​​of the kth rice mill in the sth rice milling process s-k The average value of nt corresponding to all rice mills in the sth rice milling process s-k The mean of the average values ​​is taken as nts; calculate the ny of all frequency values ​​of the kth rice mill in the sth rice milling process s-k The average value of ny corresponding to all rice mills in the sth rice milling process s-k The mean of the average values ​​is taken as nys; k=1~M; in, For the first rice milling process, the second-category test value refers to the sum of the test values ​​of categories D, E, F, G, H, and I, and the first-category test value refers to the test values ​​of all types of data other than the first and second-category test values; For the second rice milling process, the second type of test value refers to the sum of the test values ​​of E, F, G, H, and I, and the first type of test value refers to the test values ​​of various types of data other than the first and second type of test values; For the fourth rice milling process, the second category test value refers to the sum of the test values ​​of categories A, B, C, D, E, and F, and the first category test value refers to the test values ​​of various types of data other than the first and second category test values.

[0017] The determination process of mzi and myj includes: The frequency change mzi-k corresponding to the kth rice mill in the i-th rice milling process is expressed as: mzi-k=dM / [(Z 1-ka -Z 1-k )-(Z 234a -Z 234 )]; k = 1 ~ M; The change in the aleurone process data corresponding to the kth rice mill in the jth rice milling process as the sand roller speed control frequency changes is expressed as: myj-k=dM / [(Y m1-ka -Y m1-k )-(Y m234a -Y m234 )]; s = i, j; dM is a constant; Z 1-ka , Z 1-k , Z 234a , Z 234 , Y m1-ka , Y m1-k , Y m234a , Y m234 The determination process includes: Adjust the opening and closing degree of the feeding flow of all rice mills to P%; adjust the opening and closing degree of the discharging flow of all rice mills in the i-th rice milling process to Q%, and adjust the frequency of the frequency conversion controller of the sand roller speed to RHz, and keep it for T minutes; Obtain N rounds of online process detection data of each rice milling machine in the i-th rice milling process, and count the Z-type data and aleurone process data corresponding to each rice milling machine in the i-th rice milling process in each round; Calculate the average value of all rounds of Z-type data corresponding to the k-th rice mill in the i-th rice milling process, and get Z 1-k ; Calculate the average value of the aleurone process data of all rounds corresponding to the kth rice milling machine in the i-th rice milling process, and get Y m1-k ; Calculate the average value of all Z-type data obtained by the 2nd, 3rd, and 4th rice mills in the i-th rice milling process within T minutes, and get Z 234 Calculate the average value of all the aleurone process data obtained by the 2nd, 3rd, and 4th rice milling machines in the i-th rice milling process within T minutes, and get Y m234 ; The frequency of the speed inverter controller of the kth rice mill in the i-th rice milling process is adjusted to (R+0.1) Hz and maintained for T minutes. The Z-type data and the aleurone process data of the kth rice mill in the i-th rice milling process are obtained. The average value of the Z-type data of the first rice mill in the i-th rice milling process at the frequency (R+0.1) Hz is calculated to obtain Z 1-ka ; Calculate the average value of the first rice milling machine aleurone layer process data in the i-th rice milling process at a frequency of (R+0.1) Hz, and obtain Y m1-ka ; Calculate the average value of Z type data of the 2nd, 3rd and 4th rice milling machines in the i-th rice milling process at a frequency of (R+0.1) Hz, and get Z 234a ; Calculate the average value of the aleurone process data of the 2nd, 3rd, and 4th rice milling machines in the i-th rice milling process at a frequency of (R+0.1) Hz, and obtain Y m234a ; Adjust the frequency of the frequency converter controller to N different frequency values, calculate mzi-k and mys-k at the corresponding frequency values, calculate the average value of mzi-k at all frequency values ​​of the k-th rice milling machine in the i-th rice milling process, and take the average value of the average values ​​of mzi-k corresponding to all rice milling machines in the i-th rice milling process as mzi; calculate the average value of mys-k at all frequency values ​​of the k-th rice milling machine in the i-th rice milling process, and take the average value of the average values ​​of mys-k corresponding to all rice milling machines in the i-th rice milling process as mys; in, For the first rice milling process, the aleurone process data refers to the sum of the test values ​​of categories E, F, G, H, and I; For the second rice milling process, the aleurone process data refers to the sum of the F, G, H, and I test values; For the third rice milling process, the aleurone process data refers to the sum of the A, B, and C test values; For the 4th rice milling process, the endosperm process data refers to the sum of A, B, C, and D test values.

[0018] The N different frequency values ​​are: 41Hz, 45Hz, 39.9Hz, 39Hz, and 35Hz.

[0019] P=80, Q=60, R=40, T=20, N=5, dM=0.1.

[0020] M=4.

[0021] As an inventive concept, the present invention further provides a rice milling machine control system, comprising a memory, a processor and a computer program stored in the memory; the processor executes the computer program to implement the steps of the above method.

[0022] As an inventive concept, the present invention also provides a computer-readable storage medium having a computer program / instruction stored thereon; the computer program / instruction implements the steps of the above method when executed by a processor.

[0023] Compared with the prior art, the present invention has the following beneficial effects: the present invention establishes the relationship between the sand roller control frequency of the new rice machine and the single grinding depth, as well as the relationship between the opening and closing degree of the new rice machine and the number of grinding times of the same object, so that the cereal starch layer can be accurately extracted. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] Figure 1 The aleurone layer obtained in the embodiment of the present invention; Figure 2 The rice germ obtained in the embodiment of the present invention; Figure 3 The first-class treasure obtained by the embodiment of the present invention; Figure 4 This is the Erdaozhen obtained in the embodiment of the present invention. DETAILED DESCRIPTION

[0025] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0026] The embodiment of the present invention establishes the relationship between the control frequency of the emery roller of the new rice machine and the single grinding depth, establishes the relationship between the opening and closing degree of the new rice machine and the number of grinding times of the same object, finds the comprehensive relationship between the grain grinding process and the emery roller frequency conversion and flow opening and closing degree, and constructs an intelligent controller for extracting the grain starch layer with the new rice machine.

[0027] The original traditional production line of the new type rice machine is upgraded to the "rice treasure production line" (patent number: ZL202111359213.X). The "rice treasure" is the "cereal endosperm" (including part of the rice germ) in the embodiment of the present invention.

[0028] (1) Considering the low output of the new rice machine, the number of rice machines per lane was increased from 1 to 4; (2) Considering the uniformity of the new rice machine, the six front and rear passes were reduced to four; (3) The rice milling processes 1 and 2 are constructed as “pretreatment processes”, whose process goal is to remove the outer layer of grains, and the rice milling processes 3 and 4 are constructed as “aleurone extraction processes” (including rice germ); (4) Considering that the end-stage aleurone extracted at the end of the extraction process objectively contains a small amount of endosperm starch, the end of the third stage is defined as the “first stage treasure” and the end of the fourth stage is defined as the “second stage treasure”.

[0029] According to "A method for online process detection of rice processing" (patent number: ZL201911406271.6), an online process detection system is configured for the new production line. Taking into account the uniformity and controllability of the new rice mill, an online process detection robot is configured for every two rice mills, and the two rice mills are in the same rice milling process. The online detection time of each round of a single machine is defined as 2 minutes, that is, one round (2 rice mills) of online process detection is completed every 4 minutes.

[0030] According to the method described in "A method and system for processing instant rice bran" (patent number: ZL202411296311.7), the online process detection robot is trained and the process detection categories are defined respectively: Type Z, the outer skin layer is not ground off; Category A, outer cortex milled 20%; Category B, outer cortex milled 50%; Category C, outer cortex milled 80%; Category D, outer cortex milled 100%; Class E, the aleurone layer was milled 20%; Class F, the aleurone layer was milled 50%; Class G, the aleurone layer was milled 80%; Class H, the aleurone layer was milled 100%; Type I, ground to the endosperm.

[0031] Among the above categories, Z and I are separate categories in terms of grinding depth. The former does not remove the outer layer, while the latter has a grinding depth that reaches the endosperm; A, B, C, and D have the same grinding depth, and part or all of the outer layer has been ground away. There are differences in the grinding area, but the endosperm is intact; E, F, G, and H have the same grinding depth, and part or all of the endosperm has been ground away. Only the grinding area is different, but the endosperm is not ground.

[0032] Define the process target and maximum allowable process deviation for each rice milling process: 1, i.e. 1 of the pretreatment process, the core goal of the process is to be clustered in Class B, the maximum allowable value of Class A is 10%, the maximum allowable value of Class C is 20%, and the (Z+D+E+F+G+H+I) class is 0; 2nd pass, i.e. the last pass of the pretreatment process, the core goal of the process is to cluster in class D, the allowable value of class (Z+A+B) is 0, the maximum allowable value of class C is 10%, the maximum allowable value of class E is 10%, and the allowable value of class (F+G+H+I) is 0; The 3rd pass is the first pass of the aleurone extraction process. The core goal of the process is to cluster in the F category. The allowable value of the (Z+A+B+C) category is 0, the maximum allowable value of the D category is 5%, the maximum allowable value of the E category is 15%, the maximum allowable value of the G category is 10%, and the allowable value of the (H+I) category is 0; Step 4, i.e. the second step of the endosperm extraction process, is also the last step of the production line. The core goal of the process is to cluster it into class H. The allowable value for class (Z+A+B+C+D+E+F) is 0, the maximum allowable value for class G is 10%, and the maximum allowable value for class I is 0, in order to ensure the purity of the endosperm in the second step.

[0033] According to the definition of the target process, a control model is constructed for each rice milling process.

[0034] Research on the actual production line found that there is a linear relationship between the rotation speed of the new rice machine's sand roller and the single grinding depth - the greater the speed, the deeper the grinding, the smaller the speed, the shallower the grinding. Since there is also a good linear relationship between the speed and the frequency of the control motor, a corresponding linear relationship can be established between the frequency of controlling the sand roller speed and the grinding depth.

[0035] Insufficient grinding depth indicates that the frequency of controlling the sand roller speed needs to be increased; excessive grinding depth indicates that the control frequency needs to be reduced. The percentage of each category after detection can directly reflect whether the control frequency is reasonable.

[0036] At the same time, the study also found that under the condition of fixed feed opening, the discharge opening determines the number of times the processed material is ground in the grinding chamber.

[0037] In summary, the grinding depth is controlled by the frequency of adjusting the rotation speed, and the grinding area is determined by the size of the opening and closing degree. The embodiment of the present invention constructs an intelligent control model based on this.

[0038] Practice has proved that this control model has excellent process effect.

[0039] Example 1 This embodiment provides a method for extracting aleurone from cereals.

[0040] (1) The online intelligent control model of rice milling is: ΔM1=mz1×ΔZ-my1×ΔYm1; ΔN1=na1×ΔA+nb1×ΔB-nc1×ΔC-ny1×ΔYn1; Among them, mz1, my1, na1, nb1, nc1, and ny1 are parameters; ΔZ=Z-Z0, Z is the percentage of the currently detected Z category, Z0 is the maximum allowable value of the Z category in the first rice milling lane, that is, 0, therefore, ΔZ = the current detection value of Z; ΔYm1=current (E+F+G+H+I) category-Ym10, Ym10 is the maximum allowable value of the 1st rice milling (E+F+G+H+I) category, that is, 0, therefore, ΔYm1=current (E+F+G+H+I) category detection value; E+F+G+H+I means the sum of the detection values ​​of E, F, G, H, and I categories, and so on; ΔA = current Class A detection value - A0, A0 is the maximum Class A allowable value for 1st rice milling, i.e. 10%; ΔB=100%-(current Class B detection value); ΔC = current C-class detection value - C0, C0 is the maximum C-class allowable value of the first rice milling pass, i.e. 20%; ΔYn1=current detection value of (D+E+F+G+H+I) class - Yn10, Yn10 is 0; ΔM1 is the frequency of the inverter that needs to be adjusted according to the current process status; ΔN1 is the change in opening and closing degree that the system needs to adjust according to the current process status; When ∆N1 is greater than 0, it is defined as the direction in which the opening and closing plate moves toward “closing”; when ∆N1 is less than 0, it is defined as the direction in which the opening and closing plate moves toward “opening”.

[0041] (2) Online intelligent control model for two-pass rice milling ΔM2=mz2×ΔZ-my2×ΔYm2; ΔN2=n(a+b)2×Δ(A+B)+nc2×ΔC+nd2×ΔD-ny2×ΔYn2; Among them, mz2, my2, n(a+b)2, nc2, nd2, and ny2 are parameters; ΔZ=Z-Z0, Z is the percentage of the Z category currently detected, Z0 is 0, that is, ΔZ=Z; ΔYm2 = current (F+G+H+I) category - Ym20, Ym20 is the maximum allowable value of the 2-pass rice milling (F+G+H+I) category, that is, 0, therefore, ΔYm2 = current (F+G+H+I) category; Δ(A+B) = current (A+B) class - maximum allowable value of 2-pass rice milling (A+B) class, i.e. 0. Therefore, Δ(A+B) = current (A+B) class; ΔC = current detection value of Class C - 10%; ΔD=100%-current D-class detection value; ΔYn2 = the maximum allowable value of the current (F+G+H+I) class - (F+G+H+I) class, that is, ΔYn2 = the current (F+G+H+I) class detection value; ΔM2 is the frequency adjustment amount of the 2-channel sand roller inverter of the machine obtained through model calculation; ΔN2 is the adjustment amount of the opening and closing degree of the two-channel discharge of the machine obtained by the algorithm. Its direction is defined as: when it is greater than 0, the opening and closing plate moves in the "closing" direction, and when it is less than 0, the opening and closing plate moves in the "opening" direction.

[0042] (3) Online intelligent control model for three-stage rice milling ΔM3=my3×ΔYm3-mk3×ΔI; ΔN3=n(a+b+c)3×Δ(A+B+C)+nd3×ΔD+ne3×ΔE+nf3×ΔF-ng3×ΔG-nh3×ΔH; Among them, my3, mk3, n(a+b+c)3, nd3, ne3, nf3, ng3, nh3 are parameters; ΔYm3=current (A+B+C) class detection value; ΔI = current detection value of Class I; Δ(A+B+C)=current (A+B+C) class detection value; ΔD = current D-class detection value - 5%; ΔE=current detection value of Class E - 15%; ΔF=100%-current F-class detection value; ΔG = current G-type detection value - 10%; ΔH=current H-class detection value; ΔM3 and ΔN3 are the frequency conversion adjustment amount and opening degree adjustment amount respectively obtained by the algorithm and the current process detection value. When ΔN3 is greater than 0, the opening and closing plate moves in the "closing" direction, and when ΔN3 is less than 0, the opening and closing plate moves in the "opening" direction.

[0043] (4) Online intelligent control model for 4-stage rice milling ΔM4=my4×ΔYm4-mk4×ΔI; ΔN4=ny4×ΔYn4+ng4×ΔG+nh4×ΔH-ni4×ΔI; Among them, my4, mk4, ny4, ng4, nh4, and ni4 are parameters; ΔYm4=current (A+B+C+D) class detection value; ΔI = current detection value of Class I; ΔYn4=current (A+B+C+D+E+F) class detection value; ΔG = current G-class detection value - 10%; ΔH=100%-current detection value of class H; ΔI = current detection value of Class I; ΔM4 and ΔN4 are the frequency adjustment amount and the discharge opening and closing degree adjustment amount respectively calculated according to the model and parameters as well as the current process detection values; when ΔN4 is greater than 0, the opening and closing plate moves in the "closing" direction, and when ΔN4 is less than 0, the opening and closing plate moves in the "opening" direction.

[0044] Determine the parameters of each rice milling intelligent control model Parameters of the 1-way rice milling intelligent control model The essence of each parameter is that mz1 is the change of class Z in a rice milling process as the frequency of the sand roller speed control changes. Similarly, my1 is the change of class (E+F+G+H+I) in a rice milling process as the frequency of the sand roller speed control changes. Na1 is the change of class A in a rice milling process as the opening and closing degree of the discharge changes. Similarly, nb1 and nc1 are the changes of class B and class C respectively as the opening and closing degree of the discharge changes. Ny1 is the change of class (D+E+F+G+H+I) as the opening and closing degree changes.

[0045] 1. Determine mz1 and my1 (1) The four rice mills for one rice milling lane are numbered 1-1, 1-2, 1-3, and 1-4, and are matched with detection robots and intelligent feeders respectively.

[0046] (2) Adjust the opening and closing position of the feed flow of all equipment to 80% and fix it (practice has proved that this feed flow is the optimal processing flow of the equipment, and the feed flow of the equipment in the entire production line is fixed at this position).

[0047] (3) The discharging opening and closing positions of 1-1, 1-2, 1-3, and 1-4 were adjusted to 60% and fixed, and the frequency of the frequency converter of the sand roller speed was adjusted to 40 Hz and maintained for 20 minutes. The online process detection data of each rice machine for five rounds were obtained, and the Z-type data and (E+F+G+H+I)-type data (abbreviated as Ym) of 1-1, 1-2, 1-3, and 1-4 were counted respectively.

[0048] The average values ​​of the Z and Ym data of the five rounds of 1-1 are taken and recorded as Z 1-1 With Y m1-1 .

[0049] (4) Take the average of all Z-type values ​​obtained by 1-2, 1-3, and 1-4 within these 20 minutes, and record it as Z234; take the average of all Ym-type values ​​of 1-2, 1-3, and 1-4, and record it as Ym234.

[0050] (5) Adjust the frequency of the 1-1 speed variable frequency controller to 40.1 Hz and maintain it for 20 minutes. Obtain the process test data of five rounds of 1-1, and take the average of its Z value and Ym value, and record it as Z 1-1a With Y m1-1a .

[0051] The Z class values ​​of this stage 1-2, 1-3, and 1-4 are averaged and recorded as Z234a.

[0052] The average of the Ym class values ​​of stages 1-2, 1-3, and 1-4 is recorded as Ym234a.

[0053] (6) Calculate the mz value of 1-1: mz1-1=dM / dZ; Here, the frequency change value is 0.1, so dM=0.1; The change value of class Z is (Z 1-1a -Z 1-1 ), but the objective change of incoming materials must be considered, and the change of incoming materials itself brings about the change of process. Therefore, the offset caused by the change of incoming materials needs to be considered. This offset is directly reflected in the process changes of 1-2, 1-3, and 1-4, and this offset is equal to (Z234a-Z234), so dZ=[(Z 1-1a -Z 1-1 )-(Z234a-Z234)]; In summary, mz1-1=0.1 / [(Z 1-1a -Z 1-1 )-(Z234a-Z234)] (7) Calculate the value of my for 1-1: my1-1=dM / dYm; Here, dM=0.1; The change value of Ym is (Y m1-1a -Y m1-1 ), it is also necessary to consider the offset caused by the change of incoming materials, the offset is (Ym234a-Ym234), so dYm=[(Y m1-1a -Ym 1-1 )-(Ym234a-Ym234)]; my1-1=0.1 / [(Y m1-1a -Y m1-1 )-(Ym234a-Ym234)]; (8) Adjust the frequency of the variable frequency controller to 41 Hz, and then calculate mz1-1 and my1-1; Adjust the frequency of the variable frequency controller to 45Hz, and calculate mz1-1 and my1-1; Adjust the frequency of the frequency converter to 39.9 Hz and calculate mz1-1 and my1-1; Adjust the frequency of the variable frequency controller to 39Hz and calculate mz1-1 and my1-1; Adjust the frequency of the variable frequency controller to 35Hz and calculate mz1-1 and my1-1; Take the average values ​​of mz1-1 and my1-1 obtained above to complete the parameter iteration of mz1-1 and my1-1.

[0054] Using the same method, we can get the values ​​of mz1-2 and my1-2, mz1-3 and my1-3, and mz1-4 and my1-4.

[0055] (9) Average the iterative values ​​of mz1-1, mz1-2, mz1-3, and mz1-4 to obtain the value of mz1; Average the iterated my1-1, my1-2, my1-3, and my1-4 to get the value of my1.

[0056] 2. Determine the values ​​of na1, nb1, nc1 and ny1 (1) Adjust the frequency of the sand roller speed inverter controller of the 1-1, 1-2, 1-3, and 1-4 meter machines to 40 Hz, and adjust the discharge opening degree to 60%.

[0057] (2) Maintain the above state for 20 minutes, and obtain the A value, B value, C value and (D+E+F+G+H+I) value (total is Yn value) of the five rounds of 1-1, 1-2, 1-3, and 1-4 meter machines respectively.

[0058] Take the average of the A-class values ​​of the five rounds of 1-1 and record it as A 1-1 ; Take the average of the B values ​​of the five rounds of 1-1 and record it as B 1-1 ; Take the average of the C values ​​of the five rounds of 1-1 and record it as C 1-1 ; Take the average of the Yn values ​​of the five rounds of 1-1 and record it as Yn 1-1 .

[0059] The data from the five rounds 1-2, 1-3, and 1-4 were combined to obtain A234, B234, C234, and Yn234, respectively.

[0060] (3) Adjust the opening and closing degree of 1-1 to 60.1% and keep it for 20 minutes. Use the same method to obtain A 1-1a , B 1-1a , C 1-1a , Y n1-1a ; A234a, B234a, C234a, and Yn234a within this time period are also obtained.

[0061] (4) Calculate the values ​​of na, nb, nc, and ny for 1-1 respectively.

[0062] (a) na1-1 = dN / dA, where dN is 0.1%; The value of dA is (A 1-1a -A 1-1 ), the offset caused by the change of incoming materials needs to be considered and corrected with the change values ​​of 1-2, 1-3, and 1-4. The offset is (A234a-A234), so dA=[(A 1-1a -A 1-1 )-(A234a - A234)].

[0063] Therefore na1-1=0.1% / [(A 1-1a -A 1-1 )-(A234a-A234)]; (b)nb1-1=dN / dB, where dN is 0.1%; dB=[(B 1-1a -B 1-1 )-(B234a-B234)]; nb1-1=0.1% / [(B 1-1a -B 1-1 )-(B234a-B234)].

[0064] (c) Similarly: nc1-1=0.1% / [(B 1-1a -B 1-1 )-(B234a-B234)]; Ny1-1=0.1% / [(Yn1-1a -Y n1-1 )-(Yn234a-Yn234)].

[0065] According to the same iteration and correction method as that used to obtain mz1 and my1, the determined values ​​of na1, nb1, nc1 and ny1 are obtained.

[0066] In the same way, all other parameters are obtained and determined.

[0067] Parameters of the 2nd rice milling intelligent control model: mz2, my2, n(a+b)2, nc2, nd2, ny2; Parameters of the 3-way rice milling intelligent control model: my3, mk3, n(a+b+c)3, nd3, ne3, nf3, ng3, nh3; Parameters of 4 intelligent rice milling models: my4, mk4, ny4, ng4, nh4, ni4.

[0068] Substitute the parameters into the intelligent control model of each rice milling process.

[0069] Different processed varieties have different outer skins, different endosperm thicknesses, and different processing properties. Different processed varieties will result in different parameters in the model.

[0070] Therefore, the intelligent control model remains unchanged, but the parameters for different processing varieties need to be determined separately according to the method described.

[0071] Application examples: 16 new rice machines in the original production line are used to process traditional white rice; the original production line is upgraded to a rice production line for extracting the endosperm (and rice germ): Each sub-process is designed as 4 rice machines; Passes 1 and 2 are used as pre-treatment processes; Steps 3 and 4 are extraction processes, the product from step 3 is the first-grade treasure, and the product from step 4 is the second-grade treasure; A total of 8 online process inspection robots are configured, and the online process inspection system of the production line is constructed through inspection robots, online intelligent material pickers, material pipes and industrial Internet; Through the industrial Internet, the rice machine, online process detection system, front-end intelligent controller and private cloud (intelligent control) platform are integrated to build a complete rice production line.

[0072] An intelligent control model based on real-time online process detection data is constructed by the method of the embodiment of the present invention, and various parameters (processing variety: Datangchang No. 1) are determined according to the method of the embodiment of the present invention as follows:

[0073] Substitute various parameters into the intelligent control model, and extract the aleurone layer of Datangchang No. 1. The obtained aleurone layer and rice germ are as follows Figure 1 and Figure 2 As shown in the figure, the purity of the endosperm and rice germ is very high. After staining with dye and observing under a 1,000x microscope, the first and second rice grains are as follows: Figure 3 and Figure 4 From a microscopic perspective, it can be seen that the first-grade treasures are mainly composed of aleurone cell walls, while the second-grade treasures have a larger proportion of aleurone particles, and even in the microscopic state, there is still a pure aleurone layer with no visible impurities.

[0074] Example 2 Embodiment 2 of the present invention provides a control system corresponding to the above-mentioned embodiment 1, including a memory, a processor and a computer program stored in the memory; the processor executes the computer program in the memory to implement the steps of the method of the above-mentioned embodiment 1.

[0075] In some implementations, the memory may be a high-speed random access memory (RAM), and may also include a non-volatile memory, such as at least one disk memory.

[0076] In some other implementations, the processor may be a central processing unit (CPU), a digital signal processor (DSP), or other general-purpose processors of various types, which are not limited herein.

[0077] Example 3 Embodiment 3 of the present invention provides a computer-readable storage medium corresponding to the above embodiment 1, on which a computer program / instruction is stored. When the computer program / instruction is executed by a processor, the steps of the method of the above embodiment 1 are implemented.

[0078] Computer readable storage media can be tangible devices that hold and store instructions used by instruction execution devices. Computer readable storage media can be, for example, but not limited to, electronic storage devices, magnetic storage devices, optical storage devices, electromagnetic storage devices, semiconductor storage devices, or any combination thereof.

[0079] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present application may adopt the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program codes. The schemes in the embodiments of the present application may be implemented in various computer languages, for example, object-oriented programming language Java and literal scripting language JavaScript, etc.

[0080] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0081] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0082] Although the preferred embodiments of the present application have been described, those skilled in the art may make other changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications falling within the scope of the present application.

[0083] Obviously, those skilled in the art can make various changes and modifications to the present application without departing from the spirit and scope of the present application. Thus, if these modifications and variations of the present application fall within the scope of the claims of the present application and their equivalents, the present application is also intended to include these modifications and variations.

Claims

1. A method for extracting aleurone from cereals, which is implemented by a rice milling machine system, wherein the rice milling machine system comprises a plurality of rice milling machines arranged in sequence, wherein the plurality of rice milling machines arranged in sequence are divided into four groups, and each group comprises M rice milling machines; characterized in that: The method includes: In the i-th rice milling process, the frequency of the inverter that needs to be adjusted ΔMi is expressed as: ΔMi=mzi×ΔZ-myi×ΔYmi; i=1, 2; ΔZ=Z-Z0, Z is the percentage of class Z detected in the i-th rice milling process, Z0 is the maximum allowable value of class Z in the i-th rice milling process, mzi is the change of class Z in the i-th rice milling process with the change of the sand roller speed control frequency, my1 is the change of the total number of classes E, F, G, H, and I in the first rice milling process with the change of the sand roller speed control frequency, ΔYm1=E in the first rice milling process , the sum of the number of categories E, F, G, H, and I - Ym10, Ym10 is the maximum allowable value of the sum of the number of categories E, F, G, H, and I in the first rice milling process, my2 is the change in the total number of categories F, G, H, and I in the second rice milling process as the frequency of the sand roller speed control changes, ΔYm2=the sum of the number of categories F, G, H, and I in the second rice milling process - Ym20, Ym20 is the maximum allowable value of the sum of the number of categories F, G, H, and I in the second rice milling process; In the j-th rice milling process, the frequency of the frequency converter ΔMj that needs to be adjusted is expressed as: ΔMj=myj×ΔYmj-mkj×ΔIj; j=3, 4; my3 is the change in the total number of categories A, B, and C in the third rice milling process as the frequency of the emery roller speed control changes, my4 is the change in the total number of categories A, B, C, and D in the fourth rice milling process as the frequency of the emery roller speed control changes, ΔYm3 is the sum of the number of detection values ​​of categories A, B, and C in the third rice milling process, ΔYm4 is the sum of the number of detection values ​​of categories A, B, C, and D in the fourth rice milling process, mk3 is the change in category I in the third rice milling process as the frequency of the emery roller speed control changes, mk4 is the change in category I in the fourth rice milling process as the frequency of the emery roller speed control changes, and ΔIj is the detection value of category I in the j-th rice milling process; Classes Z, A, B, C, D, E, F, G, H, and I are defined as grains with no cortex milled, 20% cortex milled, 50% cortex milled, 80% cortex milled, 100% cortex milled, 20% aleurone milled, 50% aleurone milled, 80% aleurone milled, 100% aleurone milled, and milled to the endosperm, respectively.

2. The method for extracting cereal aleurone layer according to claim 1, characterized in that: Also includes: The frequency of the frequency converter required to be adjusted in the i-th rice milling process and / or the j-th rice milling process is correspondingly superimposed on the frequency converter frequency of the i-th rice milling machine and / or the j-th rice milling machine.

3. The method for extracting cereal aleurone layer according to claim 1, characterized in that: Also includes: In the first rice milling process, the opening and closing degree change ΔN1 of the opening and closing plates that need to be adjusted in each rice mill is expressed as: ΔN1=na1×ΔA+nb1×ΔB-nc1×ΔC1-ny1×ΔYn1; In the second rice milling process, the opening and closing degree change ΔN2 of the opening and closing plates that need to be adjusted in each rice mill is expressed as: ΔN2=n(a+b)2×Δ(A+B)+nc2×ΔC2+nd2×ΔD2-ny2×ΔYn2; In the third rice milling process, the opening and closing degree change ΔN3 of the opening and closing plates that need to be adjusted in each rice mill is expressed as: ΔN3=n(a+b+c)3×Δ(A+B+C)+nd3×ΔD3+ne3×ΔE+nf3×ΔF-ng3×ΔG3-nh3×ΔH3; In the fourth rice milling process, the opening and closing degree change ΔN4 of the opening and closing plates that need to be adjusted in each rice mill is expressed as: ΔN4=ny4×ΔYn4+ng4×ΔG4+nh4×ΔH4-ni4×ΔI4; na1 is the change of category A in the first rice milling process as the opening and closing degree of the discharge changes, nb1 is the change of category B in the first rice milling process as the opening and closing degree of the discharge changes, nci is the change of category C in the i-th rice milling process as the opening and closing degree of the discharge changes, ny1 is the change of the total number of categories D, E, F, G, H, and I in the first rice milling process as the opening and closing degree of the discharge changes, ny2 is the change of the total number of categories E, F, G, H, and I in the second rice milling process as the opening and closing degree of the discharge changes, ny4 is the change of the total number of categories A, B, C, D, E, and F in the fourth rice milling process as the opening and closing degree of the discharge changes , n(a+b)2 is the change in the sum of the number of categories A and B in the second rice milling process as the opening and closing degree of the discharge changes, n(a+b+c)3 is the change in the sum of the number of categories A, B, and C in the third rice milling process as the opening and closing degree of the discharge changes, ΔA=the detection value of category A in the first rice milling process-A0, A0 is the maximum allowable value of category A in the first rice milling process, ΔB=100%-the detection value of category B in the first rice milling process, ΔCi=the detection value of category C in the i-th rice milling process-C0i, C0i is the maximum allowable value of category C in the i-th rice milling process, ΔYn1 is the sum of the detection values ​​of categories D, E, F, G, H, and I in the first rice milling process- Yn10, Δ(A+B)=the sum of the detection values ​​of class A and class B in the second rice milling process-the maximum allowable values ​​of class A and class B in the second rice milling process, Δ(A+B+C) is the sum of the detection values ​​of class A, B, and C in the third rice milling process, nd2 and nd3 are the changes of class D in the second and third rice milling processes as the discharge opening and closing degree changes, ne3, nf3, ng3, and nh3 are the changes of class E, F, G, and H in the third rice milling process as the discharge opening and closing degree changes, ng4, nh4, and ni4 are the changes of class G, H, and I in the fourth rice milling process as the discharge opening and closing degree changes, ΔD2=100 %-the detection value of Class D in the second rice milling process, ΔD3=the detection value of Class D in the third rice milling process-5%, ΔYn2=the sum of the quantities of Class F, G, H, and I in the second rice milling process-(the maximum allowable value of the sum of the quantities of Class F, G, H, and I), ΔE=the detection value of Class E in the third rice milling process-15%, ΔF=100%-the detection value of Class F in the third rice milling process, ΔGj=the detection value of Class G in the jth rice milling process-10%, ΔH3 is the detection value of Class H in the third rice milling process, ΔH4=100%-the detection value of Class H in the fourth rice milling process, ΔYn4 is the sum of the detection values ​​of Class A, B, C, D, E, and F in the fourth rice milling process.

4. The method for extracting cereal aleurone layer according to claim 3, characterized in that: In the expressions of ΔN1~ΔN4, the process of determining the variation of various data caused by the change of the discharge opening and closing degree in the sth rice milling process includes: For the sth rice milling process, adjust the frequency of the sand roller speed frequency conversion controller of all rice milling machines in the rice milling process to RHz, adjust the discharge opening and closing degree to Q%, and maintain it for more than T minutes; Obtain the first-class detection value L and the second-class detection value Yn of each rice milling machine in N rounds in the rice milling process; s=i, j; Calculate the average value of the first type of detection value of the first rice milling machine in N rounds in the rice milling process to obtain L s1-1 Calculate the average value of the second type of detection value of the first rice milling machine N rounds in the rice milling process to obtain Yn s-1 ; The first-class detection values ​​of all rounds of the second, third, and fourth rice milling machines in the rice milling process are combined to obtain Ls234; the second-class detection values ​​of all rounds of the second, third, and fourth rice milling machines in the rice milling process are combined to obtain Yns234; The discharge opening and closing degree of the first rice milling machine in the rice milling process is adjusted to (Q+0.1)%, and maintained for T minutes. The average value of the first type of detection value of the first rice milling machine in N rounds in the rice milling process is calculated to obtain L s1-1a ; Calculate the average value of the second type of detection values ​​of the 2nd, 3rd, and 4th rice mills in the rice milling process in N rounds, and get Yn s1-1a ; Combine the first-class detection values ​​of all rounds of the 2nd, 3rd, and 4th rice milling machines in the rice milling process to obtain Ls234a; Combine the second-class detection values ​​of all rounds of the 2nd, 3rd, and 4th rice milling machines in the rice milling process to obtain Yns234a; Then: the change nt of the t-type data in the s-th rice milling process caused by the change of the opening and closing degree of the k-th rice milling machine s-k Expressed as: nt s-k =dM / [(L s1-1a -L s1-1 )-(Ls234a - Ls234)]; t=a, b, c, d, (a+b), (a+b+c), e, f, g, h, i; dM is a constant; The change ny of the remaining data types other than the t type data in the sth rice milling process caused by the change of the opening and closing degree of the kth rice milling machine s-k Expressed as: ny s-k =dM / [(Yn s1-1a -Yn s-1 )-(Yns234a-Yns234)]; Adjust the frequency of the sand roller speed variable frequency controller to N different frequency values, and calculate nt at the corresponding frequency value. s-k andny s-k , calculate nt at all frequency values ​​of the kth rice mill in the sth rice milling process s-k The average value of nt corresponding to all rice mills in the sth rice milling process s-k The mean of the average values ​​is taken as nts; calculate the ny of all frequency values ​​of the kth rice mill in the sth rice milling process s-k The average value of ny corresponding to all rice mills in the sth rice milling process s-k The mean of the average values ​​is taken as nys; k=1~M; in, For the first rice milling process, the second-category test value refers to the sum of the test values ​​of categories D, E, F, G, H, and I, and the first-category test value refers to the test values ​​of all types of data other than the first and second-category test values; For the second rice milling process, the second type of test value refers to the sum of the test values ​​of E, F, G, H, and I, and the first type of test value refers to the test values ​​of various types of data other than the first and second type of test values; For the fourth rice milling process, the second category test value refers to the sum of the test values ​​of categories A, B, C, D, E, and F, and the first category test value refers to the test values ​​of various types of data other than the first and second category test values.

5. The method for extracting cereal aleurone layer according to claim 1, characterized in that: The determination process of mzi and myj includes: The frequency change mzi-k corresponding to the kth rice mill in the i-th rice milling process is expressed as: mzi-k=dM / [(Z 1-ka -Z 1-k )-(Z 234a -Z 234 )]; k = 1 ~ M; The change in the aleurone process data corresponding to the kth rice mill in the jth rice milling process as the sand roller speed control frequency changes is expressed as: myj-k=dM / [(Y m1-ka -Y m1-k )-(Y m234a -Y m234 )]; s = i, j; dM is a constant; Z 1-ka , Z 1-k , Z 234a , Z 234 , Y m1-ka , Y m1-k , Y m234a , Y m234 The determination process includes: Adjust the opening and closing degree of the feeding flow of all rice mills to P%; adjust the opening and closing degree of the discharging flow of all rice mills in the i-th rice milling process to Q%, and adjust the frequency of the frequency conversion controller of the sand roller speed to RHz, and keep it for T minutes; Obtain N rounds of online process detection data of each rice milling machine in the i-th rice milling process, and count the Z-type data and aleurone process data corresponding to each rice milling machine in the i-th rice milling process in each round; Calculate the average value of all rounds of Z-type data corresponding to the k-th rice mill in the i-th rice milling process, and get Z 1-k ; Calculate the average value of the aleurone process data of all rounds corresponding to the kth rice milling machine in the i-th rice milling process, and get Y m1-k ; Calculate the average value of all Z-type data obtained by the 2nd, 3rd, and 4th rice mills in the i-th rice milling process within T minutes, and get Z 234 Calculate the average value of all the aleurone process data obtained by the 2nd, 3rd, and 4th rice milling machines in the i-th rice milling process within T minutes, and get Y m234 ; The frequency of the speed inverter controller of the kth rice mill in the i-th rice milling process is adjusted to (R+0.1) Hz and maintained for T minutes. The Z-type data and the aleurone process data of the kth rice mill in the i-th rice milling process are obtained. The average value of the Z-type data of the first rice mill in the i-th rice milling process at the frequency (R+0.1) Hz is calculated to obtain Z 1-ka ; Calculate the average value of the first rice milling machine aleurone layer process data in the i-th rice milling process at a frequency of (R+0.1) Hz, and obtain Y m1-ka ; Calculate the average value of Z type data of the 2nd, 3rd and 4th rice milling machines in the i-th rice milling process at a frequency of (R+0.1) Hz, and get Z 234a ; Calculate the average value of the aleurone process data of the 2nd, 3rd, and 4th rice milling machines in the i-th rice milling process at a frequency of (R+0.1) Hz, and obtain Y m234a ; Adjust the frequency of the frequency converter controller to N different frequency values, calculate mzi-k and mys-k at the corresponding frequency values, calculate the average value of mzi-k at all frequency values ​​of the k-th rice milling machine in the i-th rice milling process, and take the average value of the average values ​​of mzi-k corresponding to all rice milling machines in the i-th rice milling process as mzi; calculate the average value of mys-k at all frequency values ​​of the k-th rice milling machine in the i-th rice milling process, and take the average value of the average values ​​of mys-k corresponding to all rice milling machines in the i-th rice milling process as mys; in, For the first rice milling process, the aleurone process data refers to the sum of the test values ​​of categories E, F, G, H, and I; For the second rice milling process, the aleurone process data refers to the sum of the F, G, H, and I test values; For the third rice milling process, the aleurone process data refers to the sum of the A, B, and C test values; For the 4th rice milling process, the endosperm process data refers to the sum of A, B, C, and D test values.

6. The method for extracting cereal aleurone layer according to claim 5, characterized in that: The N different frequency values ​​are: 41Hz, 45Hz, 39.9Hz, 39Hz, 35Hz.

7. The method for extracting aleurone from cereals according to any one of claims 3 to 6, characterized in that: P=80, Q=60, R=40, T=20, N=5, dM=0.

1.

8. The method for extracting aleurone from cereals according to any one of claims 1 to 6, characterized in that: M=4。 9. A rice milling machine control system, comprising a memory, a processor and a computer program stored in the memory; characterized in that: The processor executes the computer program to implement the steps of the method according to any one of claims 1 to 8.

10. A computer-readable storage medium having a computer program / instruction stored thereon; characterized in that: When the computer program / instructions are executed by a processor, the steps of the method according to any one of claims 1 to 8 are implemented.

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