Grain aleurone layer component intelligent optimization method and system and storage medium

Abstract

The invention discloses a grain aleurone layer component intelligent optimization method and system, a storage medium and a grain aleurone layer component optimization control device.The control device comprises an aleurone layer hopper, the bottom of the aleurone layer hopper is provided with a feeder which is used for conveying an aleurone layer into a first cavity and is driven by a first motor, and the aleurone layer hopper is provided with a second motor; a water spraying device is arranged above the first cavity, the bottom of the first cavity is communicated with a second cavity, a screw rod driven by a second motor is arranged in the second cavity, and one end of the screw rod extends to a discharging part on one side of the second cavity. According to the invention, precise cooperative modulation and closed-loop control of temperature and pressure in the aleurone layer component processing process are realized, and then component optimization, taste improvement and shape shaping of the aleurone layer are completed.

Description

Technical Field

[0001] This invention relates to the field of grain processing technology, and in particular to a method, system, and storage medium for intelligent optimization of the composition of a cereal aleurone layer. Background Technology

[0002] The important components of rice aleurone layer are as follows: dietary fiber, phytic acid, rice polyphenols, oleic acid (monounsaturated fatty acid), protein, octacosanol, inositol, vitamin B1, vitamin B2, niacin (vitamin B3), chromium, magnesium, zinc, selenium, potassium, iron, vitamin E, reduced glutathione, oryzanol, phytosterol, γ-aminobutyric acid, linoleic acid (polyunsaturated fatty acid), and linolenic acid (polyunsaturated fatty acid). Its component characteristics are: (1) comprehensive components, which, after synergistic effect, form three significant abilities: a) blood sugar management, b) hangover relief and liver protection, c) bowel lubrication and sleep aid; (2) phytic acid has a bitter taste; (3) releases a complex odor when it comes into contact with water; (4) the structure of insoluble dietary fiber and soluble dietary fiber is unbalanced.

[0003] In fact, under the action of reasonable temperature and matching pressure, the beneficial changes that occur in the aleurone layer are: (1) insoluble dietary fiber decreases and soluble dietary fiber increases; (2) phytic acid content decreases and inositol content increases; (3) the complex odor of aldehydes and ketones released upon contact with water disappears; (4) the rough texture disappears and becomes smooth; and (5) it becomes soft in the mouth.

[0004] If the aleurone layer can be optimized and significantly improved in terms of composition, taste, and aroma, the rice aleurone layer will have great benefits. At the same time, if the temperature or pressure is too high or the temperature and pressure are not matched, adverse changes will also occur, (1) gelatinization or caramelization, (2) reduction or even disappearance of beneficial components; but under any temperature conditions, the change that will definitely occur is the "polyphenol content". The difference is that under reasonable temperature and pressure, the total phenol content decreases, but the free phenol content increases, while under unreasonable temperature and pressure, both total phenol and free phenol will disappear.

[0005] Current extrusion puffing technology fails to meet process requirements due to significant control deficiencies:

[0006] (1) Temperature and pressure are not closed-loop controlled, that is, temperature and pressure are uncontrollable.

[0007] (2) When the temperature meets the requirements, the pressure is not matched; and vice versa.

[0008] (3) It is impossible to unify the control elements such as temperature, pressure, screw speed, and feeding on a single control platform.

[0009] (4) It is impossible to obtain the target temperature and the matching pressure required by the process at the same time. Summary of the Invention

[0010] The technical problem to be solved by the present invention is to provide a method, system and storage medium for intelligent optimization of the composition of grain aleurone layer, which addresses the shortcomings of the prior art. By controlling the temperature and pressure during the aleurone layer composition processing, the composition of the grain aleurone layer can be optimized while preventing gelatinization or charring of the aleurone layer.

[0011] To solve the above-mentioned technical problems, the technical solution adopted by the present invention is: a method for intelligent optimization of the composition of a grain aleurone layer, applicable to a grain aleurone layer composition optimization control device, the control device including an aleurone layer hopper, a feeder driven by a first motor for conveying the aleurone layer into a first cavity is provided at the bottom of the aleurone layer hopper, a water spraying device is provided above the first cavity, the bottom of the first cavity is connected to a second cavity, a screw driven by a second motor is provided in the second cavity, one end of the screw extending to a discharge section on one side of the second cavity; the method includes: The speed regulation amount ΔV1 of the first motor and the speed regulation amount ΔV2 of the second motor are calculated using the following formulas: ΔV1=[(dT / dV2)×ΔP-(dP / dV2)×ΔT] / [(dP / dV1)×(dT / dV2)-(dP / dV2)×(dT / dV1)]; ΔV2=[(dP / dV1)×ΔT-(dT / dV1)×ΔP] / [(dP / dV1)×(dT / dV2)-(dP / dV2)×(dT / dV1)]; Wherein, P is the pressure inside the second chamber, T is the temperature inside the second chamber, V1 is the rotational speed of the first motor, V2 is the rotational speed of the screw, ΔP is the difference between the current pressure and the target pressure, ΔT is the difference between the current temperature and the target temperature, dP / dV1 is the change in pressure inside the second chamber caused by the rotational speed of the first motor, dP / dV2 is the change in pressure inside the second chamber caused by the rotational speed of the screw, dT / dV1 is the change in temperature inside the second chamber caused by the rotational speed of the first motor, and dT / dV2 is the change in temperature inside the second chamber caused by the rotational speed of the screw.

[0012] In this invention, to further improve control accuracy, the process of obtaining dP / dV1 and dT / dV1 includes: With the screw speed fixed, the speed of the first motor is adjusted multiple times to obtain the changes in pressure and temperature within the second chamber after each adjustment. The ratio of the change in pressure within the second chamber to the change in speed of the first motor during each adjustment is defined as the first ratio. The average of all first ratios is calculated to obtain dP / dV1. The ratio of the change in temperature within the second chamber to the change in speed of the first motor during each adjustment is defined as the second ratio. The average of all second ratios is calculated to obtain dT / dV1. The speed of the first motor is kept constant, and the speed of the second motor is adjusted multiple times to obtain the changes in pressure and temperature in the second cavity after each adjustment. The ratio of the change in pressure in the second cavity to the change in speed of the second motor during each adjustment is defined as the third ratio. The average of all third ratios is calculated to obtain dP / dV2. The ratio of the change in temperature in the second cavity to the change in speed of the second motor during each adjustment is defined as the fourth ratio. The average of all fourth ratios is calculated to obtain dT / dV2.

[0013] In this invention, to further improve control accuracy, the formula for calculating the water flow rate of the spray device is as follows: ΔV3=(a / ΔV1)×(dA / dV1)×(dV3 / dL); Where L is the water flow rate of the spray device, V3 is the water pump speed of the spray device, A is the material flow rate, a is the set water-to-material ratio, dA / dV1 is the change in material flow rate with the speed of the first motor, dL / dV3 is the change in water flow rate with the speed of the water pump, dV3 / dL is the reciprocal of dL / dV3, and ΔV3 is the adjustment amount of the water pump speed.

[0014] In this invention, to further improve control accuracy, the specific process for obtaining dA / dV1 and dL / dV3 includes: The ratio of material flow rate to first motor speed per unit time is obtained multiple times. This ratio is defined as the fifth ratio. The average value of all fifth ratios is calculated to obtain dA / dV1. The ratio of water flow rate to water pump speed of the spray device per unit time is obtained multiple times. This ratio is defined as the sixth ratio. The average value of all sixth ratios is calculated to obtain dL / dV3.

[0015] The water spraying device includes a heating pressure regulator; the formula for calculating the adjustment amount ΔQ of the heating pressure regulator is: ΔQ=x×(t i -t0)-y×(t i -t i-s1 )-z×(t i -t i-s2 ); x, y, and z are settable coefficients, ti is the temperature value obtained by the temperature sensor of the water heating unit of the current water spray device, t0 is the target temperature value, and t i-s1 The temperature value obtained by the water heating unit temperature sensor s1 seconds ago, t i-s2 The temperature value obtained by the water heating element temperature sensor s2 seconds ago.

[0016] A cutter driven by a cutting motor is installed below the discharge section; the adjustment formula for the cutting motor speed is: ΔV4=(ΔV1 / b)×(dI / dV1); Where V4 is the cutting motor speed, I is the product output length, b is the target product length, dI / dV1 is the change in output length as the first motor speed changes, and ΔV4 is the cutting motor speed adjustment amount.

[0017] In this invention, to further improve control accuracy, the calculation process of dI / dV1 includes: The ratio of the discharge length to the speed of the first motor per unit time is obtained multiple times. This ratio is defined as the seventh ratio. The average value of all seventh ratios is calculated to obtain dI / dV1.

[0018] The target temperature and target pressure are generated according to the following formulas: ΔT = 0.4 × ΔSK / (dSK / dT); ΔP = 0.6 × ΔSK / (dSK / dP); ΔT = 0.4 × ΔYF / (dYF / dT); ΔP = 0.6 × ΔYF / (dYF / dP); ΔT = 0.4 × ΔZS / (dZS / dT); ΔP = 0.6 × ΔZS / (dZS / dP); Wherein, dSK / dT, dYF / dT, and dZS / dT represent the changes in soluble dietary fiber conversion rate, free phenol conversion rate, and phytic acid conversion rate with temperature, respectively; ΔSK is the difference between the soluble dietary fiber content at the target temperature and the soluble dietary fiber content in the raw material; ΔYF is the difference between the free phenol content at the target temperature and the free phenol content in the raw material; ΔZS is the difference between the phytic acid content at the target temperature and the phytic acid content in the raw material; and dSK / dP, dYF / dP, and dZS / dP represent the changes in soluble dietary fiber conversion rate, free phenol conversion rate, and phytic acid conversion rate with pressure at the target temperature, respectively.

[0019] As an inventive concept, the present invention also provides a smart optimization system for the composition of a cereal aleurone layer, including 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.

[0020] As an inventive concept, the present invention also provides a computer-readable storage medium having a computer program / instructions stored thereon; when the computer program / instructions are executed by a processor, they implement the steps of the above-described method.

[0021] Compared with the prior art, the beneficial effects of the present invention are as follows: the present invention realizes closed-loop control of temperature and pressure during the processing of aleurone layer components, thereby achieving component optimization and taste improvement of the aleurone layer. Attached Figure Description

[0022] Figure 1 This is a schematic diagram of the structure of the grain aleurone layer composition optimization and control device according to an embodiment of the present invention; Figure 2 This is a schematic diagram of the discharge section structure used in an embodiment of the present invention, wherein the central circle is the discharge port; Figure 3 The product form is defined as b = 2mm in this embodiment of the invention; Figure 4 The product form is defined as b = 40mm in this embodiment of the invention; Figure 5 A schematic diagram of a printing stage with three-dimensional coordinates added below the discharge port of the original control device; Figure 6 The product form printed after adding a three-dimensional coordinate printing table in an embodiment of the present invention; Figure 7 The network topology constructed for embodiments of the present invention; in: 1. Screw drive motor; 2. Feed drive motor; 3. Feeder; 4. Paste layer hopper; 5. Water flow controller; 6. Water distribution container; 7. Water heating unit; 8. Nozzle; 9. Screw; 10. Pressure sensor; 11. Discharge unit; 12. Cutting motor; 13. Cutter; 14. Temperature sensor; 15. Electrical box; 16. First chamber; 17. Second chamber; 18. Printing table. Detailed Implementation

[0023] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0024] In this document, the terms "first," "second," and other similar words are not intended to imply any order, quantity, or importance, but are merely used to distinguish different elements. The terms "one," "a," and other similar words are not intended to indicate the existence of only one of the stated things, but rather that the description refers only to one of the stated things, which may have one or more. The terms "comprising," "including," and other similar words are intended to indicate a logical relationship, not a spatial relationship. For example, "A includes B" means that logically B belongs to A, not that spatially B is located inside A. Furthermore, the meanings of the terms "comprising," "including," and other similar words should be considered open-ended, not closed. For example, "A includes B" means that B belongs to A, but B does not necessarily constitute all of A; A may also include other elements such as C, D, and E.

[0025] Example 1

[0026] This embodiment provides a method for intelligent optimization of the composition of grain aleurone layer. This method is applicable to control devices. In this embodiment, a cooperative intelligent control algorithm is constructed for the device. By coordinating feeding and rotation speed, the structure of the rice aleurone layer is optimized and the taste is improved.

[0027] Driven by intelligent control algorithms, the device can match any temperature and pressure within the process requirements. Under the condition of a defined target temperature and pressure, it can achieve component optimization and taste improvement at different target points.

[0028] Figure 1 This is a schematic diagram of the control device structure in this embodiment. By using any matchable target temperature and pressure, the goals of optimizing the aleurone layer structure and improving the taste can be achieved.

[0029] Figure 1In this control device, there is a paste layer hopper 4. At the bottom of the paste layer hopper 4 is a feeder 3 driven by a first motor (i.e., a feeding drive motor 2) for conveying the paste layer into the first cavity 16. A water spraying device is located above the first cavity. The water spraying device includes a water distribution container 6, inside which is a water pump. The water pump's delivery pipe is connected to the cavity of a water heating unit 7 (with a built-in temperature sensor and an external heater). A water flow controller 5 is installed on the delivery pipe. The water heating unit is located at the bottom of the water distribution container 6. A nozzle 8 is located at the bottom of the water heating unit 7, directly above the first cavity, facilitating the addition of water to the first cavity. The bottom of the first cavity is connected to a second cavity 17. The second chamber houses a screw 9 driven by a second motor (i.e., screw drive motor 1). This screw is divided into three sections: front, middle, and rear, in a ratio of 30:50:20. The first section (feeding position) has a 1cm pitch, while the second section's pitch decreases uniformly from 1.6cm to 1cm. The first section has a constant diameter, while the second and third sections increase in diameter uniformly from 24cm to 32cm. The first section is primarily for feeding, the second section can pressurize and heat the material, and the third section is mainly for stabilizing pressure and removing air bubbles. One end of the screw extends to the discharge section 11 (ring-shaped body) on one side of the second chamber. A cutter 13 driven by a cutting motor 12 is located directly below the discharge section. A temperature sensor 14 and a pressure sensor 10 are installed within the second chamber, which is fixed to an electrical box 15.

[0030] During process control, the feeding speed varies. When the feeding speed changes, the ratio of water to aleurone layer also changes. However, the ratio of water to aleurone layer needs to be constant. Therefore, it is necessary to control the water spray flow rate to ensure that the ratio between water and material is consistent.

[0031] When the water flow rate changes with the feed rate of the aleurone layer, the water temperature in the heating section also changes. However, the temperature of the water in the process should be constant. Therefore, the heater in the water heating section should be adjusted accordingly.

[0032] Therefore, the water heating section and water flow control both need to be determined by the feeding speed, and the three need to be interconnected and coordinated through algorithms.

[0033] Water flow control algorithm: ΔV3=(a / ΔV1)×(dA / dV1)×(dV3 / dL); In the formula, L is the water flow rate, V3 is the water pump speed, V1 is the feed motor speed, A is the material flow rate, a is the water-to-material ratio (a is a settable parameter), dA / dV1 is the change in material flow rate with the feed motor speed, dL / dV3 is the change in water flow rate with the water pump speed, dV3 / dL is the reciprocal of dL / dV3, ΔV3 is the adjustment amount of the water pump speed, and ΔV1 is the change in the feed motor speed.

[0034] Both dA / dV1 and dL / dV3 were obtained experimentally.

[0035] The feed motor can be rotated at any speed. The material flow rate generated per unit time is recorded. The ratio of the latter to the former is dA / dV1. The feed motor speed is adjusted and repeated n times, and the average value is taken.

[0036] The water pump is rotated at any speed, and the water flow rate generated per unit time is recorded. The ratio of the latter to the former is dL / dV3. The pump speed is adjusted and repeated n times, and the average value is taken.

[0037] Water heating unit temperature control algorithm: ΔQ=x×(t i - t0) - y×(t i -t i-3 ) - z×(t i -t i-6 ); ΔQ represents the adjustment amount of the heating pressure regulator, and x, y, and z are settable parameters, which are 1.2, 0.6, and 0.3 respectively in this system; t i t is the current temperature value from the water heating unit temperature sensor, t0 is the target temperature value, and t i-3 The temperature value t was obtained by the water heating unit temperature sensor 3 seconds ago. i-6 This is the temperature value obtained by the water heating element temperature sensor 6 seconds ago.

[0038] During system operation, the feeding speed will vary depending on the setting or change of the target temperature and target pressure. When the feeding speed changes, the cutting rate of the product shape also needs to change accordingly to ensure the consistency of the product shape.

[0039] Control algorithm for cutting motor: ΔV4=(ΔV1 / b)×(dI / dV1); In the formula, V4 is the cutting motor speed, V1 is the feeding motor speed, I is the product output length, b is the target product length (b is a settable parameter), and dI / dV1 is the change in output length caused by the change in feeding motor speed.

[0040] ΔV4 is the speed adjustment of the cutting motor, and ΔV1 is the change in the speed of the feeding motor.

[0041] dI / dV1 is obtained experimentally. The feed motor is rotated at any speed, and the length of material discharged per unit time is measured. The ratio of the latter to the former is dI / dV1. The feed motor speed is repeatedly adjusted, and the corresponding length of material discharged per unit time is measured. The average value is then taken.

[0042] Within the system, P, T, V1, and V2 must have the following relationships: ΔP=[(dP / dV1)×ΔV1]+[(dP / dV2)×ΔV2]; ΔT=[(dT / dV1)× ΔV1]+[(dT / dV2)× ΔV2]; Where P is the pressure inside the cavity, T is the temperature inside the cavity, V1 is the speed of the feed motor, V2 is the speed of the screw, ΔP is the difference between the current pressure and the target pressure, ΔT is the difference between the current temperature and the target temperature, ΔV1 is the pre-modulated adjustment amount of the feed motor speed, that is, the amount of speed change that the feed motor needs to adjust; ΔV2 is the pre-modulated adjustment amount of the screw speed, that is, the amount of speed change that the screw needs to adjust.

[0043] From the above relationship between P, T, V1, and V2, we can conclude that: ΔV1=[(dT / dV2)×ΔP-(dP / dV2)×ΔT] / [(dP / dV1)×(dT / dV2)- (dP / dV2)×(dT / dV1)]; ΔV2=[(dP / dV1)×ΔT-(dT / dV1)×ΔP] / [(dP / dV1)×(dT / dV2)- (dP / dV2)×(dT / dV1)]; That is, the amount of adjustment required for the current feed motor and screw speed is obtained from the difference between the current pressure and the target pressure, and the difference between the current temperature and the target temperature.

[0044] Wherein, ΔP is the difference between the current pressure and the target pressure, ΔT is the difference between the current temperature and the target temperature, ΔV1 is the pre-modulated feed motor speed adjustment amount, that is, the speed change of the feed motor that needs to be adjusted; ΔV2 is the pre-modulated screw speed adjustment amount, that is, the speed change of the screw that needs to be adjusted.

[0045] dP / dV1 is the change in pressure inside the cavity as the speed of the feeding motor changes; dP / dV2 is the change in pressure inside the cavity as the screw speed changes; dT / dV1 is the change in temperature inside the cavity as a function of the feed motor speed; dT / dV2 is the change in temperature inside the cavity caused by the screw rotation speed.

[0046] Methods for obtaining dP / dV1, dP / dV2, dT / dV1, and dT / dV2: With V2 fixed, adjust the change of V1 to 10, 100, and 300 r / min respectively, read the changes of T and P, take the average value, and obtain dP / dV1 and dT / dV1.

[0047] With V1 fixed, adjust the change of V2 to 10, 100, and 300 r / min respectively, read the changes of T and P, take the average value, and obtain dP / dV2 and dT / dV2.

[0048] The conversion effect of rice aleurone layer varies under different target temperatures and pressures, resulting in different degrees of improvement in taste.

[0049] The raw materials were tested for soluble dietary fiber (SK0), free phenols (YF0), and phytic acid (ZS0).

[0050] (1) Set the target temperature to T1 (100℃), set the target pressure to P1 (0.2MPa), set a to 1:5, set b to 2mm, start the system, obtain product C1, and detect the content of soluble dietary fiber (SK1), free phenol (YF1), and phytic acid (ZS1) in C1.

[0051] calculate: Soluble dietary fiber conversion rate, SK1 转 =[(SK1-SK0) / SK0]×100%; Free phenol conversion rate, YF1 转 = [(YF1-YF0) / YF0]×100%; Phytic acid conversion rate, ZS1 转 =[(ZS0-ZS1) / ZS0]×100%; Record SK1 转 YF1 转 Convert ZS to 1 and map it to T1 and P1.

[0052] (2) Set the target temperature to T2 (T2=T1+10℃), set the target pressure to P1 (0.2MPa), set a to 1:5, set b to 2mm, start the system, obtain product C2, and detect the content of soluble dietary fiber (SK2), free phenol (YF2), and phytic acid (ZS2) in C2.

[0053] calculate: Soluble dietary fiber conversion rate, SK2 转 =[(SK2-SK0) / SK0]×100%; Free phenol conversion rate, YF2 转 = [(YF2-YF0) / YF0]×100%; Phytic acid conversion rate, ZS2 转 =[(ZS0-ZS2) / ZS0]×100%; Record SK2 转 YF2转 With ZS2 转 And map them to T2 and P1.

[0054] (3) Set the target temperature to T3 (T3=T1+2×10℃), set the target pressure to P1 (0.2MPa), set a to 1:5, set b to 2mm, start the system, obtain product C3, and detect the content of soluble dietary fiber (SK3), free phenol (YF3), and phytic acid (ZS3) in C3.

[0055] calculate: Soluble dietary fiber conversion rate, SK 3 转 =[(SK3 - SK0) / SK0]×100%; Free phenol conversion rate, YF 3 转 = [(YF3 - YF0) / YF0]×100%; Phytic acid conversion rate, ZS 3 转 =[(ZS0 - ZS3) / ZS0]×100%; Record SK 3 转 YF 3 转 With ZS 3 转 And map them to T3 and P1.

[0056] Calculate the changes in the conversion rates of soluble dietary fiber, free phenols, and phytic acid with temperature under conditions P1, and denote them as dSK / dT, dYF / dT, and dZS / dT, respectively.

[0057] (4) Set the target temperature to T1 (100℃), set the target pressure to P2 (0.3MPa), set a to 1:5, set b to 2mm, start the system, obtain product Cm1, and detect the content of soluble dietary fiber (SKm1), free phenol (YFm1), and phytic acid (ZSm1) in Cm1.

[0058] calculate: Soluble dietary fiber conversion rate, SKm1 转 =[(SKm1-SK0) / SK0]×100%; Free phenol conversion rate, YFm1 转 = [(YFm1-YF0) / YF0]×100%; Phytic acid conversion rate, ZSm1 转 =[(ZS0-ZSm1) / ZS0]×100%; Record SKm1 转 YFm1 转 With ZSm1 转And map them to T1 and P2.

[0059] (5) Set the target temperature to T1 (100℃), set the target pressure to P3 (0.4MPa), set a to 1:5, set b to 2mm, start the system, obtain product Cm2, and detect the content of soluble dietary fiber (SKm2), free phenol (YFm2), and phytic acid (ZSm2) in Cm2.

[0060] calculate: Soluble dietary fiber conversion rate, SKm2 转 = [(SKm2-SK0) / SK0]×100%; Free phenol conversion rate, YFm2 转 = [(YFm2-YF0) / YF0]×100%; Phytic acid conversion rate, ZSm2 转 = [(ZS0-ZSm2) / ZS0]×100%; Record SKm2 转 YFm2 转 With ZS m2 转 And map them to T1 and P3.

[0061] (6) Set the target temperature to T1 (100℃), set the target pressure to P4 (0.5MPa), set a to 1:5, set b to 2mm, start the system, obtain product Cm3, and detect the content of soluble dietary fiber (SKm3), free phenol (YFm3), and phytic acid (ZSm3) in Cm3.

[0062] calculate: Soluble dietary fiber conversion rate, SKm3 转 =[(SKm3-SK0) / SK0]×100%; Free phenol conversion rate, YFm3 转 =[(YFm3-YF0) / YF0]×100%; Phytic acid conversion rate, ZSm3 转 =[(ZS0-ZSm3) / ZS0]×100%; Record SKm3 转 YFm3 转 With ZSm3 转 And map them to T1 and P4.

[0063] Calculate the changes in the conversion rates of soluble dietary fiber, free phenols, and phytic acid with pressure under condition T1, and denote them as dSK / dP, dYF / dP, and dZS / dP, respectively.

[0064] Considering the theoretical critical values ​​of thermal and pressure stability of oleic acid (monounsaturated fatty acid), protein, octacosanol, inositol, chromium, magnesium, zinc, selenium, potassium, iron, vitamin E, reduced glutathione, oryzanol, phytosterol, and γ-aminobutyric acid, the maximum allowable target temperature of the system is defined as 150℃, and the maximum allowable target pressure is defined as 0.5MPa.

[0065] Within the system's allowable target temperature and pressure range, the conversion rate of the target component is set, and the system can automatically generate the target temperature and target pressure based on dSK / dT, dYF / dT, dZS / dT, dSK / dP, dYF / dP, dZS / dP and the following rules.

[0066] ΔT = 0.4 × ΔSK / (dSK / dT); ΔP = 0.6 × ΔSK / (dSK / dP); ΔT = 0.4 × ΔYF / (dYF / dT); ΔP = 0.6 × ΔYF / (dYF / dP); ΔT = 0.4 × ΔZS / (dZS / dT); ΔP = 0.6 × ΔZS / (dZS / dP); ΔT represents the temperature increase based on 100℃, and ΔP represents the pressure increase based on 0.2MPa.

[0067] The structure of the discharge head in this embodiment is as follows: Figure 2 As shown, Figure 2 The central hole is the discharge port.

[0068] Figure 3 To adopt the method of Example 1, the product shape is set to 2mm.

[0069] Figure 4 To adopt the method of Example 1, the product shape is set to 40mm.

[0070] To facilitate printing the abrasive layer into different shapes, a three-dimensional printing stage 18 can be set below the discharge section, such as... Figure 5 As shown, different product forms can be printed using the printing station, for example... Figure 6 As shown in the figure.

[0071] In this embodiment, multiple control devices (i.e.) can also be used. Figure 7 The working units (in the network) are connected to the control center to build a network topology, such as... Figure 7 As shown, each work unit can produce products with different shapes, thus improving work efficiency.

[0072] Example 2

[0073] Embodiment 2 of the present invention provides a control system corresponding to Embodiment 1 above, 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 Embodiment 1 above.

[0074] In some implementations, the memory may be high-speed random access memory (RAM), and may also include non-volatile memory, such as at least one disk storage device.

[0075] In other implementations, the processor can be any type of general-purpose processor, such as a central processing unit (CPU) or a digital signal processor (DSP), and there is no limitation here.

[0076] Example 3

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

[0078] A computer-readable storage medium can be a tangible device that holds and stores instructions for use by an instruction execution device. A computer-readable storage medium can be, for example, but not limited to, an electrical storage device, a magnetic storage device, an optical storage device, an electromagnetic storage device, a semiconductor storage device, or any combination thereof.

[0079] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program products. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take 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 code. The solutions in the embodiments of this application can be implemented in various computer languages, such as the object-oriented programming language Java and the interpreted scripting language JavaScript.

[0080] This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart... Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0081] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0082] Although preferred embodiments of this application have been described, those skilled in the art, upon learning the basic inventive concept, can make other changes and modifications to these embodiments. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments as well as all changes and modifications falling within the scope of this application.

[0083] Obviously, those skilled in the art can make various modifications and variations to this application without departing from the spirit and scope of this application. Therefore, if such modifications and variations fall within the scope of the claims of this application and their equivalents, this application also intends to include such modifications and variations.

Claims

1. A method for intelligent optimization of the composition of a grain aleurone layer, applicable to a grain aleurone layer composition optimization control device, the control device comprising an aleurone layer hopper, a feeder driven by a first motor for conveying the aleurone layer into a first cavity is provided at the bottom of the aleurone layer hopper, a water spraying device is provided above the first cavity, the bottom of the first cavity is connected to a second cavity, a screw driven by a second motor is provided in the second cavity, one end of the screw extending to a discharge section on one side of the second cavity; characterized in that, The method includes: The speed regulation amount ΔV1 of the first motor and the speed regulation amount ΔV2 of the second motor are calculated using the following formulas: ΔV1=[(dT / dV2)×ΔP-(dP / dV2)×ΔT] / [(dP / dV1)×(dT / dV2)-(dP / dV2)×(dT / dV1)]; ΔV2=[(dP / dV1)×ΔT-(dT / dV1)×ΔP] / [(dP / dV1)×(dT / dV2)-(dP / dV2)×(dT / dV1)]; Wherein, P is the pressure inside the second chamber, T is the temperature inside the second chamber, V1 is the rotational speed of the first motor, V2 is the rotational speed of the screw, ΔP is the difference between the current pressure and the target pressure, ΔT is the difference between the current temperature and the target temperature, dP / dV1 is the change in pressure inside the second chamber caused by the rotational speed of the first motor, dP / dV2 is the change in pressure inside the second chamber caused by the rotational speed of the screw, dT / dV1 is the change in temperature inside the second chamber caused by the rotational speed of the first motor, and dT / dV2 is the change in temperature inside the second chamber caused by the rotational speed of the screw.

2. The intelligent optimization method for the composition of the cereal aleurone layer according to claim 1, characterized in that, The process of obtaining dP / dV1 and dT / dV1 includes: With the screw speed fixed, the speed of the first motor is adjusted multiple times to obtain the changes in pressure and temperature within the second chamber after each adjustment. The ratio of the change in pressure within the second chamber to the change in speed of the first motor during each adjustment is defined as the first ratio. The average of all first ratios is calculated to obtain dP / dV1. The ratio of the change in temperature within the second chamber to the change in speed of the first motor during each adjustment is defined as the second ratio. The average of all second ratios is calculated to obtain dT / dV1. The speed of the first motor is kept constant, and the speed of the second motor is adjusted multiple times to obtain the changes in pressure and temperature in the second cavity after each adjustment. The ratio of the change in pressure in the second cavity to the change in speed of the second motor during each adjustment is defined as the third ratio. The average of all third ratios is calculated to obtain dP / dV2. The ratio of the change in temperature in the second cavity to the change in speed of the second motor during each adjustment is defined as the fourth ratio. The average of all fourth ratios is calculated to obtain dT / dV2.

3. The intelligent optimization method for the composition of the cereal aleurone layer according to claim 1, characterized in that, The formula for calculating the water flow rate of the spray device is as follows: ΔV3=(a / ΔV1)×(dA / dV1)×(dV3 / dL); Where L is the water flow rate of the spray device, V3 is the water pump speed of the spray device, A is the material flow rate, a is the set water-to-material ratio, dA / dV1 is the change in material flow rate with the speed of the first motor, dL / dV3 is the change in water flow rate with the speed of the water pump, dV3 / dL is the reciprocal of dL / dV3, and ΔV3 is the adjustment amount of the water pump speed.

4. The intelligent optimization method for the composition of the cereal aleurone layer according to claim 3, characterized in that, The specific process of obtaining dA / dV1 and dL / dV3 includes: The ratio of material flow rate to first motor speed per unit time is obtained multiple times. This ratio is defined as the fifth ratio. The average value of all fifth ratios is calculated to obtain dA / dV1. The ratio of water flow rate to water pump speed of the spray device per unit time is obtained multiple times. This ratio is defined as the sixth ratio. The average value of all sixth ratios is calculated to obtain dL / dV3.

5. The intelligent optimization method for the composition of the grain aleurone layer according to claim 1, characterized in that, The water spraying device includes a heating pressure regulator; the formula for calculating the adjustment amount ΔQ of the heating pressure regulator is: ΔQ=x×(t i -t0)-y×(t i -t i-s1 )-z×(t i -t i-s2 ); x, y, and z are settable coefficients, and t i The current temperature value is obtained from the temperature sensor of the water heating unit of the spray device, t0 is the target temperature value, and t i-s1 The temperature value obtained by the water heating unit temperature sensor s1 seconds ago, t i-s2 The temperature value obtained by the water heating element temperature sensor s2 seconds ago.

6. The intelligent optimization method for the composition of the cereal aleurone layer according to claim 1, characterized in that, A cutter driven by a cutting motor is installed below the discharge section; the adjustment formula for the cutting motor speed is: ΔV4=(ΔV1 / b)×(dI / dV1); Where V4 is the cutting motor speed, I is the product output length, b is the target product length, dI / dV1 is the change in output length as the first motor speed changes, and ΔV4 is the cutting motor speed adjustment amount.

7. The intelligent optimization method for the composition of the cereal aleurone layer according to claim 6, characterized in that, The calculation process of dI / dV1 includes: The ratio of the discharge length to the speed of the first motor per unit time is obtained multiple times. This ratio is defined as the seventh ratio. The average value of all seventh ratios is calculated to obtain dI / dV1.

8. The intelligent optimization method for the composition of the cereal aleurone layer according to claim 1, characterized in that, The target temperature and target pressure are generated according to the following formulas: ΔT = 0.4 × ΔSK / (dSK / dT); ΔP = 0.6 × ΔSK / (dSK / dP); ΔT = 0.4 × ΔYF / (dYF / dT); ΔP = 0.6 × ΔYF / (dYF / dP); ΔT = 0.4 × ΔZS / (dZS / dT); ΔP = 0.6 × ΔZS / (dZS / dP); Wherein, dSK / dT, dYF / dT, and dZS / dT represent the changes in soluble dietary fiber conversion rate, free phenol conversion rate, and phytic acid conversion rate with temperature, respectively; ΔSK is the difference between the soluble dietary fiber content at the target temperature and the soluble dietary fiber content in the raw material; ΔYF is the difference between the free phenol content at the target temperature and the free phenol content in the raw material; ΔZS is the difference between the phytic acid content at the target temperature and the phytic acid content in the raw material; and dSK / dP, dYF / dP, and dZS / dP represent the changes in soluble dietary fiber conversion rate, free phenol conversion rate, and phytic acid conversion rate with pressure at the target temperature, respectively.

9. A smart optimization system for the composition of a cereal aleurone layer, 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 / instructions stored thereon; characterized in that, When the computer program / instructions are executed by the processor, they implement the steps of the method according to any one of claims 1 to 8.

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