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CN-121979346-A - Intelligent optimization method, system and storage medium for cereal aleurone layer components

CN121979346ACN 121979346 ACN121979346 ACN 121979346ACN-121979346-A

Abstract

The invention discloses an intelligent optimization method, system and storage medium for components of a cereal aleurone layer, wherein the control device comprises an aleurone layer hopper, a feeder which is used for conveying an aleurone layer into a first cavity and is driven by a first motor is arranged at the bottom of the aleurone layer hopper, a water spraying device is arranged above the first cavity, the bottom of the first cavity is communicated with a second cavity, a screw driven by a second motor is arranged in the second cavity, and one end of the screw extends to a discharging part at one side of the second cavity. The invention realizes the precise cooperative modulation of temperature and pressure and the closed-loop control thereof in the processing process of the components of the aleurone layer, thereby completing the component optimization and the taste improvement of the aleurone layer and the shape molding.

Inventors

  • JIANG ZHIRONG
  • LI YAN

Assignees

  • 长沙荣业软件有限公司

Dates

Publication Date
20260505
Application Date
20260401

Claims (10)

  1. 1. The intelligent optimization method for the components of the cereal aleurone layer is suitable for an optimization control device for the components of the cereal aleurone layer, the control device comprises an aleurone layer hopper, a feeder which is used for conveying the aleurone layer into a first cavity and driven by a first motor is arranged at the bottom of the aleurone layer hopper, a water spraying device is arranged above the first cavity, the bottom of the first cavity is communicated with a second cavity, a screw driven by the second motor is arranged in the second cavity, and one end of the screw extends to a discharging part on one side of the second cavity, and the intelligent optimization method is characterized by comprising the following steps: the rotation speed adjustment amount Δv1 of the first motor and the rotation speed adjustment 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 in the second cavity, T is the temperature in the second cavity, V1 is the rotation speed of the first motor, V2 is the rotation speed of the screw, deltaP is the difference between the current pressure and the target pressure, deltaT is the difference between the current temperature and the target temperature, dP/dV1 is the variable quantity generated by the change of the pressure in the second cavity along with the rotation speed of the first motor, dP/dV2 is the variable quantity generated by the change of the pressure in the second cavity along with the rotation speed of the screw, dT/dV1 is the variable quantity generated by the change of the temperature in the second cavity along with the rotation speed of the first motor, and dT/dV2 is the variable quantity generated by the change of the temperature in the second cavity along with the rotation speed of the screw.
  2. 2. The intelligent optimization method of cereal aleurone layer components according to claim 1, wherein the acquisition process of dP/dV1 and dT/dV1 comprises: The method comprises the steps of fixing the rotating speed of a screw, regulating the rotating speed of a first motor for a plurality of times to obtain the variation of the pressure in a second cavity and the variation of the temperature in the second cavity after each regulation, defining the ratio of the variation of the pressure in the second cavity to the variation of the rotating speed of the first motor as a first ratio, calculating the average value of all the first ratios to obtain dP/dV1, defining the ratio of the variation of the temperature in the second cavity to the variation of the rotating speed of the first motor as a second ratio, and calculating the average value of all the second ratios to obtain dT/dV1; The method comprises the steps of fixing the rotating speed of a first motor, regulating the rotating speed of a second motor for multiple times to obtain the variation of the pressure in a second cavity and the variation of the temperature in the second cavity after each regulation, defining the ratio of the variation of the pressure in the second cavity to the variation of the rotating speed of the second motor as a third ratio, calculating the average value of all the third ratios to obtain dP/dV2, defining the ratio of the variation of the temperature in the second cavity to the variation of the rotating speed of the second motor as a fourth ratio, and calculating the average value of all the fourth ratios to obtain dT/dV2.
  3. 3. The intelligent optimization method of the ingredients of the cereal aleurone layer according to claim 1, wherein the calculation formula of the water outlet flow of the water spraying device is as follows: ΔV3=(a/ΔV1)×(dA/dV1)×(dV3/dL); Wherein L is the water outlet flow of the water spraying device, V3 is the rotation speed of a water pump of the water spraying device, A is the material flow, a is the set water-material ratio, dA/dV1 is the variable quantity generated by the change of the material flow along with the rotation speed of the first motor, dL/dV3 is the variable quantity generated by the change of the water outlet flow along with the rotation speed of the water pump, dV3/dL is the reciprocal of dL/dV3, and DeltaV 3 is the adjustment quantity of the rotation speed of the water pump.
  4. 4. The intelligent optimization method of cereal aleurone layer ingredients according to claim 3, wherein the specific acquisition process of dA/dV1 and dL/dV3 comprises: Obtaining the ratio of the material flow to the rotating speed of the first motor in unit time for multiple times, defining the ratio as a fifth ratio, and calculating the average value of all the fifth ratios to obtain dA/dV1; and obtaining the ratio of the water outlet flow rate to the rotation speed of the water pump of the water spraying device in unit time for multiple times, defining the ratio as a sixth ratio, and calculating the average value of all the sixth ratios to obtain dL/dV3.
  5. 5. The intelligent optimization method for the ingredients of the cereal aleurone layer according to claim 1, wherein the water spraying device comprises a heating pressure regulator, and the calculation formula of the adjustment quantity delta Q of the heating pressure regulator is as follows: ΔQ=x×(t i -t 0 )-y×(t i -t i-s1 )-z×(t i -t i-s2 ); x, y and z are respectively settable coefficients, t i is a temperature value obtained by a current water spraying device water heating part temperature sensor, t 0 is a target temperature value, t i-s1 is a temperature value obtained by a water heating part temperature sensor before s1 seconds, and t i-s2 is a temperature value obtained by a water heating part temperature sensor before s2 seconds.
  6. 6. The intelligent optimization method for the ingredients of the cereal aleurone layer according to claim 1, wherein a cutter driven by a cutting motor is arranged below the discharging part, and the adjusting formula of the rotating speed of the cutting motor is as follows: ΔV4=(ΔV1/b)×(dI/dV1); Wherein V4 is the rotation speed of the cutting motor, I is the discharge length of the product, b is the target length of the product, dI/dV1 is the variable quantity generated by the change of the discharge length along with the rotation speed of the first motor, and DeltaV 4 is the rotation speed regulating quantity of the cutting motor.
  7. 7. The intelligent optimization method of cereal aleurone layer components according to claim 6, wherein the calculation process of dI/dV1 comprises: And obtaining the ratio of the discharge length to the rotating speed of the first motor in unit time for multiple times, defining the ratio as a seventh ratio, and calculating the average value of all the seventh ratios to obtain dI/dV1.
  8. 8. The intelligent optimization method of cereal aleurone layer ingredients according to claim 1, wherein the target temperature and the target pressure are generated according to the following formula: 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 respectively represent the variable quantity of the soluble dietary fiber conversion rate, the free phenol conversion rate and the phytic acid conversion rate along with the temperature change, delta SK is the difference value of the soluble dietary fiber content and the soluble dietary fiber in the raw material at the target temperature, delta YF is the difference value of the free phenol content and the free phenol content in the raw material at the target temperature, delta ZS is the difference value of the phytic acid content and the phytic acid content in the raw material at the target temperature, and dSK/dP, dYF/dP and dZS/dP respectively represent the variable quantity of the soluble dietary fiber conversion rate, the free phenol conversion rate and the phytic acid conversion rate along with the pressure change at the target temperature.
  9. 9. An intelligent optimization system for components of a cereal aleurone layer comprises a memory, a processor and a computer program stored on the memory, and is characterized in that the processor executes the computer program to realize the steps of the method according to one of claims 1 to 8.
  10. 10. A computer-readable storage medium, on which a computer program/instruction is stored, characterized in that the computer program/instruction, when executed by a processor, implements the steps of the method according to one of claims 1 to 8.

Description

Intelligent optimization method, system and storage medium for cereal aleurone layer components Technical Field The invention relates to the technical field of grain processing, in particular to an intelligent optimization method, system and storage medium for components of a grain aleurone layer. Background The rice aleurone layer contains dietary fiber, phytic acid, rice polyphenols, oleic acid (monounsaturated fatty acid), proteins, octacosanol, inositol, vitamin B1, vitamin B2, nicotinic acid (vitamin B3), chromium, magnesium, zinc, selenium, potassium, iron, vitamin E, reduced glutathione, oryzanol, phytosterol, gamma-aminobutyric acid, linoleic acid (polyunsaturated fatty acid) and linolenic acid (polyunsaturated fatty acid). The composition is characterized in that (1) the components are comprehensive, and have obvious capability in three aspects after synergistic effect, namely, a, blood sugar management, b, alcohol dispelling, liver protecting, c, intestine moistening, sleep aiding, (2) the phytic acid has bitter taste, (3) complex smell is released when the phytic acid meets water, and (4) the insoluble dietary fiber and the soluble dietary fiber have unbalanced structure. In fact, under the effect of reasonable temperature and matched pressure, the beneficial change of the aleurone layer is that (1) insoluble dietary fiber is reduced, soluble dietary fiber is increased, (2) phytic acid content is reduced, inositol content is increased, (3) aldehyde ketone complex smell released by water disappears, (4) rough taste disappears and is smooth, and (5) the mouth is soft. If the optimization and remarkable promotion of the aleurone layer in terms of component structure, taste and smell can be promoted, the rice aleurone layer can play a great role. Meanwhile, if the temperature is too high or the pressure is too high or the temperature and the pressure are not matched, adverse changes are generated at the same time, (1) gelatinization or coking is carried out, (2) beneficial components are reduced or even disappear, but the change which can be necessarily generated under any temperature condition is the polyphenol content, wherein the difference is that the total phenol content is reduced under reasonable temperature and pressure, but the free phenol content is increased, and the total phenol and the free phenol disappear under unreasonable temperature and pressure. Current extrusion and puffing technologies cannot meet the process requirements due to significant control drawbacks: (1) The temperature and the pressure are not controlled in a closed loop, i.e. the temperature and the pressure are not controllable. (2) When the temperature meets the demand, the pressure is not matched and vice versa. (3) The control elements such as temperature, pressure, screw rotation speed, feeding and the like cannot be unified on one control platform. (4) The target temperature of the process demand and the matched pressure thereof cannot be obtained at the same time. Disclosure of Invention The invention aims to solve the technical problem of providing an intelligent optimization method, an intelligent optimization system and a storage medium for components of a cereal aleurone layer, and the components of the cereal aleurone layer are optimized on the premise of preventing the aleurone layer from pasting or coking by controlling the temperature and the pressure in the processing process of the components of the aleurone layer. In order to solve the technical problems, the technical scheme adopted by the invention is that the intelligent optimization method for the components of the cereal aleurone layer is suitable for an optimization control device for the components of the cereal aleurone layer, the control device comprises an aleurone layer hopper, a feeder which is used for conveying the aleurone layer into a first cavity and is driven by a first motor is arranged at the bottom of the aleurone layer hopper, a water spraying device is arranged above the first cavity, the bottom of the first cavity is communicated with a second cavity, a screw driven by the second motor is arranged in the second cavity, and one end of the screw extends to a discharging part at one side of the second cavity, and the method comprises the following steps: the rotation speed adjustment amount Δv1 of the first motor and the rotation speed adjustment 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 in the second cavity, T is the temperature in the second cavity, V1 is the rotation speed of the first motor, V2 is the rotation speed of the screw, deltaP is the difference between the current pressure and the target pressure, deltaT is the difference between the current temperature and the target temperature, dP/dV1 is the variable quantity generated