CN112528567A - Method and device for regulating and controlling hardness of rice flour - Google Patents

Method and device for regulating and controlling hardness of rice flour Download PDF

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CN112528567A
CN112528567A CN202011561327.8A CN202011561327A CN112528567A CN 112528567 A CN112528567 A CN 112528567A CN 202011561327 A CN202011561327 A CN 202011561327A CN 112528567 A CN112528567 A CN 112528567A
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rice
crystallization
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熊武卫
熊壮
熊武波
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Liuzhou Huifang Technology Co ltd
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Abstract

The invention discloses a method and a device for regulating and controlling the hardness of rice flour, wherein the method comprises the following steps: obtaining rice embryo humidity information; judging whether the rice germ humidity information meets a first preset condition or not; when the humidity information of the rice embryo is met, acquiring aging temperature information according to the humidity information of the rice embryo; aging the rice embryo under the aging temperature information to obtain the crystallization change information of the rice embryo in real time; obtaining a standard curve of crystallization change; inputting the rice embryo crystallization change information and the crystallization change standard curve into a first training model; obtaining the first matching degree which represents the matching degree between the change of the crystalline state and the standard change in the rice embryo aging process; when the first matching degree does not meet a second preset condition, first reminding information is obtained; obtaining first adjustment data according to the first matching degree; and obtaining a first adjusting instruction according to the first adjusting data. Solves the technical problems of non-refined hardness regulation and control and difficult quality control of the rice flour production process in the prior art.

Description

Method and device for regulating and controlling hardness of rice flour
Technical Field
The invention relates to the related field of rice flour production processes, in particular to a method and a device for regulating and controlling the hardness of rice flour.
Background
Rice is used as a raw material, and the transformable food is various, and rice flour is one of the varieties with the largest transformation amount and the most potential. The rice flour is a strip-shaped or flat-wide rice product prepared by taking rice as a raw material through the processes of soaking, crushing, pasting, extruding and the like, but different production processes and production equipment cause the rice flour to become hard or broken and have poor viscoelasticity, so that the toughness of the taste is reduced, and the flavor is deteriorated.
However, in the process of implementing the technical solution of the invention in the embodiments of the present application, the inventors of the present application find that the above-mentioned technology has at least the following technical problems:
the prior art has the technical problems that the hardness regulation and control of the rice flour production process are not refined, and the quality is not easy to control.
Disclosure of Invention
The embodiment of the application provides the method and the device for regulating the hardness of the rice flour, solves the technical problems that the hardness regulation and control of the rice flour production process are not refined and the quality is not easy to control in the prior art, achieves the purpose of refining different factors influencing the hardness of the rice flour, and provides the accurate and reasonable technical effect of the method for regulating the hardness of the rice flour.
In view of the above problems, the embodiments of the present application provide a method and apparatus for regulating the hardness of rice flour.
In a first aspect, the present embodiments provide a method for regulating rice flour hardness, the method comprising: obtaining rice embryo humidity information; judging whether the rice germ humidity information meets a first preset condition or not; when the humidity information meets the requirement, acquiring aging temperature information according to the rice embryo humidity information; aging the rice embryo under the aging temperature information to obtain the crystallization change information of the rice embryo in real time; obtaining a standard curve of crystallization change; inputting the rice embryo crystallization change information and the crystallization change standard curve into a first training model, wherein the first training model is obtained by training a plurality of groups of training data, and each group of training data in the plurality of groups comprises: the rice embryo crystallization change information, the crystallization change standard curve and identification information for identifying the degree of matching of crystallization change; obtaining first output information of the first training model, wherein the first output information comprises a first matching degree, and the first matching degree is used for representing the matching degree between the change of the crystalline state and the standard change in the rice embryo aging process; when the first matching degree does not meet a second preset condition, first reminding information is obtained in real time; obtaining first adjustment data according to the first matching degree; and obtaining a first adjusting instruction according to the first adjusting data.
In another aspect, the present application also provides a device for regulating the hardness of rice flour, the device comprising: the first obtaining unit is used for obtaining rice embryo humidity information; the first judging unit is used for judging whether the rice germ humidity information meets a first preset condition or not; the second obtaining unit is used for obtaining aging temperature information according to the rice germ humidity information when the rice germ humidity information is met; the third obtaining unit is used for aging the rice embryo under the aging temperature information to obtain the rice embryo crystallization change information in real time; a fourth obtaining unit for obtaining a standard curve of crystallization variation; a first input unit, configured to input the rice embryo crystallization change information and the crystallization change standard curve into a first training model, where the first training model is obtained by training multiple sets of training data, and each set of training data in the multiple sets includes: the rice embryo crystallization change information, the crystallization change standard curve and identification information for identifying the degree of matching of crystallization change; a fifth obtaining unit, configured to obtain first output information of the first training model, where the first output information includes a first matching degree, and the first matching degree is used to indicate a matching degree between a change in a crystalline state and a standard change in a rice embryo aging process; a sixth obtaining unit, configured to obtain, in real time, first reminding information when the first matching degree does not satisfy a second predetermined condition; a seventh obtaining unit, configured to obtain first adjustment data according to the first matching degree; an eighth obtaining unit, configured to obtain a first adjustment instruction according to the first adjustment data.
In a third aspect, the present invention provides an apparatus for controlling the hardness of rice flour, comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the steps of the method of the first aspect when executing the program.
One or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages:
because the humidity information of the rice embryo is obtained, whether the humidity information of the rice embryo meets the first preset condition or not is judged, if so, further to obtain aging temperature information, and aging the rice embryo at the current aging temperature, inputting the obtained rice embryo crystallization change information and the crystallization change standard curve into a first training model to obtain a first matching degree representing the matching degree between the change of the crystallization state in the rice embryo aging process and the standard change, continuously performing self-correction adjustment based on the characteristic of the first training model to obtain more accurate identification information of the matching degree, if the first matching degree does not meet the second preset condition, the adjustment data is obtained to adjust, so that different factors influencing the rice flour hardness are refined and adjusted, and the technical effect of the accurate and reasonable rice flour hardness adjusting and controlling method is provided.
The foregoing description is only an overview of the technical solutions of the present application, and the present application can be implemented according to the content of the description in order to make the technical means of the present application more clearly understood, and the following detailed description of the present application is given in order to make the above and other objects, features, and advantages of the present application more clearly understandable.
Drawings
Fig. 1 is a schematic flow chart of a method for regulating the hardness of rice flour according to an embodiment of the present application;
FIG. 2 is a schematic structural diagram of an apparatus for controlling hardness of rice flour according to an embodiment of the present disclosure;
fig. 3 is a schematic structural diagram of an exemplary electronic device according to an embodiment of the present application.
Description of reference numerals: a first obtaining unit 11, a first judging unit 12, a second obtaining unit 13, a third obtaining unit 14, a fourth obtaining unit 15, a first input unit 16, a fifth obtaining unit 17, a sixth obtaining unit 18, a seventh obtaining unit 19, an eighth obtaining unit 20, a bus 300, a receiver 301, a processor 302, a transmitter 303, a memory 304, and a bus interface 306.
Detailed Description
The embodiment of the application provides the method and the device for regulating the hardness of the rice flour, solves the technical problems that the hardness regulation and control of the rice flour production process are not refined and the quality is not easy to control in the prior art, achieves the purpose of refining different factors influencing the hardness of the rice flour, and provides the accurate and reasonable technical effect of the method for regulating the hardness of the rice flour. Hereinafter, example embodiments according to the present application will be described in detail with reference to the accompanying drawings. It should be apparent that the described embodiments are merely some embodiments of the present application and not all embodiments of the present application, and it should be understood that the present application is not limited to the example embodiments described herein.
Summary of the application
Rice is used as a raw material, and the transformable food is various, and rice flour is one of the varieties with the largest transformation amount and the most potential. The rice flour is a strip-shaped or flat-wide rice product prepared by taking rice as a raw material through the processes of soaking, crushing, pasting, extruding and the like, but different production processes and production equipment cause the rice flour to become hard or broken and have poor viscoelasticity, so that the toughness of the taste is reduced, and the flavor is deteriorated. But the prior art has the technical problems that the hardness regulation and control of the rice flour production process are not refined, and the quality is not easy to control.
In view of the above technical problems, the technical solution provided by the present application has the following general idea:
the embodiment of the application provides a method for regulating and controlling the hardness of rice flour, which comprises the following steps: obtaining rice embryo humidity information; judging whether the rice germ humidity information meets a first preset condition or not; when the humidity information meets the requirement, acquiring aging temperature information according to the rice embryo humidity information; aging the rice embryo under the aging temperature information to obtain the crystallization change information of the rice embryo in real time; obtaining a standard curve of crystallization change; inputting the rice embryo crystallization change information and the crystallization change standard curve into a first training model, wherein the first training model is obtained by training a plurality of groups of training data, and each group of training data in the plurality of groups comprises: the rice embryo crystallization change information, the crystallization change standard curve and identification information for identifying the degree of matching of crystallization change; obtaining first output information of the first training model, wherein the first output information comprises a first matching degree, and the first matching degree is used for representing the matching degree between the change of the crystalline state and the standard change in the rice embryo aging process; when the first matching degree does not meet a second preset condition, first reminding information is obtained in real time; obtaining first adjustment data according to the first matching degree; and obtaining a first adjusting instruction according to the first adjusting data.
Having thus described the general principles of the present application, various non-limiting embodiments thereof will now be described in detail with reference to the accompanying drawings.
Example one
As shown in fig. 1, the present application provides a method for regulating hardness of rice flour, wherein the method comprises:
step S100: obtaining rice embryo humidity information;
specifically, the rice embryo humidity information refers to the measured water content of the rice flour raw material, namely rice, which is formed into a rice flour gelatinization state by adding water after being crushed and ground. The operation of the rice flour aging process is not easy, and has certain correlation with the rice embryo humidity information, the temperature information and the aging duration, wherein the gelatinization state of the rice flour is influenced due to the difference of the water adding amount of the rice embryo, generally speaking, the dissolution rate of starch contained in the rice embryo is high, and the rice embryo humidity information influences the hardness standard of the rice flour.
Step S200: judging whether the rice germ humidity information meets a first preset condition or not;
specifically, the first preset condition refers to a preset rice embryo suitable humidity threshold value with a certain basis, wherein the first preset condition can be obtained through previous experience or theoretical knowledge, the gelatinization of rice flour under a low-moisture condition has limited moisture absorption, the structure of the rice flour is loose, the hardness of the rice flour does not reach the standard, the rice flour hardening trend is gradually accelerated to fully absorb moisture along with the increase of the water adding amount of the rice embryos, but the rice flour aging trend is slowed down when the water adding amount exceeds the suitable water adding amount, and therefore the humidity information of the rice embryos can be kept stable by setting the first preset condition in advance, and the product quality is guaranteed.
Step S300: when the humidity information meets the requirement, acquiring aging temperature information according to the rice embryo humidity information;
specifically, the aging temperature refers to one of rice flour processing process conditions, and is used for controlling the processing temperature of rice flour, regulating and measuring the processing temperature, wherein if the humidity information of the rice embryo reaches a proper threshold range, the starch is fully gelatinized, and then the maximum aging can be achieved, so that the aging temperature of an aging process flow performed after the rice embryo is added with water is obtained, and a theoretical reference basis is provided.
Step S400: aging the rice embryo under the aging temperature information to obtain the crystallization change information of the rice embryo in real time;
step S500: obtaining a standard curve of crystallization change;
specifically, the rice embryo crystallization change information refers to the crystallinity of starch in the rice embryo in the aging process, the crystallization change standard curve is a standard change curve set in advance, the rice embryo is aged at the aging temperature, namely, the gelatinized rice starch molecules enable broken hydrogen bonds to be combined again at the aging temperature, the crystal structure is formed by rearrangement and crystallization, and the hardening rate and the aging degree of the real-time rice embryo in aging can be judged according to the crystallinity of the crystallization change standard curve by obtaining the real-time rice embryo crystallization change information, so that the technical effect of refining and regulating different factors influencing the rice flour hardness is achieved.
Step S600: inputting the rice embryo crystallization change information and the crystallization change standard curve into a first training model, wherein the first training model is obtained by training a plurality of groups of training data, and each group of training data in the plurality of groups comprises: the rice embryo crystallization change information, the crystallization change standard curve and identification information for identifying the degree of matching of crystallization change;
step S700: obtaining first output information of the first training model, wherein the first output information comprises a first matching degree, and the first matching degree is used for representing the matching degree between the change of the crystalline state and the standard change in the rice embryo aging process;
specifically, the first training model is a Neural network model in machine learning, and a Neural Network (NN) is a complex Neural network device formed by widely connecting a large number of simple processing units (called neurons), reflects many basic features of human brain functions, and is a highly complex nonlinear dynamics learning device. Neural network models are described based on mathematical models of neurons. Artificial Neural Networks (Artificial Neural Networks) are a description of the first-order properties of human brain devices. Briefly, it is a mathematical model. And through training of a large amount of training data, inputting the rice embryo crystallization change information and the crystallization change standard curve into a first training model, and outputting a first matching degree. Further, the training process is essentially a supervised learning process, each group of supervised data comprises the rice embryo crystallization change information, the crystallization change standard curve and identification information for identifying the degree of matching of crystallization change, the neural network model performs continuous self-correction and adjustment until the obtained output result is consistent with the identification information, the group of supervised learning is finished, the next group of data supervised learning is performed, and when the output information of the neural network model reaches a preset accuracy rate/reaches a convergence state, the supervised learning process is finished. Through supervised learning of the neural network model, the neural network model can process the input information more accurately, so that a more accurate first matching degree is obtained, and further, the real-time rice embryo crystallization change can be more accurately evaluated, so that different factors influencing the rice flour hardness can be refined, regulated and controlled, and the technical effect of the accurate and reasonable rice flour hardness regulating and controlling method is provided.
Step S800: when the first matching degree does not meet a second preset condition, first reminding information is obtained in real time;
specifically, the second predetermined condition refers to a matching degree threshold value between the rice embryo crystallization change information and the crystallization change standard curve which is set in advance; when the first matching degree does not meet the second preset condition, the degree of coincidence of the crystallinity of the starch in the rice paste does not reach the standard, the aging process of the rice embryo is influenced, and then the first reminding information is obtained and used for reminding a large error of the aging rate or the temperature of the rice embryo, influencing the accuracy of the aging process regulation and control of the rice flour, and further influencing the hardness of the produced rice flour.
Step S900: obtaining first adjustment data according to the first matching degree;
step S1000: and obtaining a first adjusting instruction according to the first adjusting data.
Specifically, the real-time starch crystallinity is obtained according to the matching degree between the change of the crystalline state in the rice embryo aging process and the standard change, the relevant influence factors influencing the first matching degree are further analyzed, the first adjusting data including the rice embryo humidity information, the aging temperature and the like are obtained, and the corresponding data are refined and adjusted according to the adjustment instruction of a driver.
Further, the step S400 of the embodiment of the present application further includes the step of aging the rice embryo under the aging temperature information to obtain the rice embryo crystallization change information in real time:
step S410: acquiring rice embryo crystallization image information in real time;
step S420: determining crystallization area identification information according to the rice embryo crystallization image information;
step S430: obtaining standard crystallization state grade information according to the rice embryo humidity information and the aging temperature information, wherein the standard crystallization state grade information is grade division information of a crystallization state corresponding to each time point under the rice embryo humidity information and the corresponding aging temperature information;
step S440: inputting the identification information of the crystallization area and the grade information of the standard crystallization state into a second training model, wherein the second training model is obtained by training a plurality of groups of training data, and each group of training data in the plurality of groups comprises: the crystallization area identification information, the standard crystallization state grade information and identification information for identifying a grade matched by the crystallization change;
step S450: obtaining second output information of the second training model, wherein the second output information comprises crystallization grade information, and the crystallization grade information is used for evaluating the crystallization state of the rice embryo in the aging process;
step S460: obtaining the crystallization grade information of two continuous time points to obtain crystallization grade change information;
step S470: and determining the rice embryo crystallization change information according to the crystallization grade change information.
Specifically, the rice embryo crystallization image information acquires the image information of starch crystallization of a rice embryo at a certain aging temperature, the crystallization area identification information is that a crystallization area is identified so as to extract information, wherein crystallization change can be acquired by using a high-power image collector or an optical collector and the like, crystallization analysis is performed according to images, so that correlation analysis is performed according to crystallinity and rice flour texture characteristics, quality characteristics of produced rice flour quality are measured according to convenient correlation systems such as hardness, chewiness and stickiness, grading information is performed according to crystallization states corresponding to each time point under certain rice embryo humidity information and aging temperature information, and then the crystallization area identification information and the standard crystallization state grading information are input into a second training model, wherein the second training model is also a neural network model, through the training of multiple groups of data, the crystallization grade information which is accurately used for evaluating the crystallization state in the rice embryo aging process is output based on the characteristics of the output accurate data, and the related change condition of the rice embryo crystallization is obtained under the condition of obtaining two continuous time points. The rice embryo standard grade information is determined, the rice embryo crystallization change condition is determined according to the crystallinity change between the rice embryo time nodes, and then the relevant influence factors influencing the aging process are obtained, so that different factors influencing the rice flour hardness are refined and regulated, and the technical effect of the accurate and reasonable rice flour hardness regulation and control method is provided.
Further, in the step S900 according to the first matching degree, the obtaining of the first adjustment data further includes:
step S910: obtaining corresponding rice embryo crystallization change information according to the first matching degree;
step S920: obtaining the aging processing time according to the rice embryo crystallization change information;
step S930: and obtaining the first adjustment data according to the rice embryo crystallization change information and the aging processing duration.
Specifically, the change degree of a net structure formed by coagulation of internal starch after rice embryo crystallization can be analyzed through the analysis of the rice embryo crystallization change, wherein the relative crystallinity of crystals is high, the formed crystal structure is good, whether the gel structure of the aged Guo morning rice flour is compact or not and whether the gel structure is uniform or not can be seen through a scanning electron microscope image, the breaking rate of the gel crystal structure is obtained through comprehensive analysis of the obtained aging processing time and the rice embryo crystallization change information, the rice embryo hardness is judged and analyzed, the crystallization change degree is influenced to a certain extent by the aging processing time, the first adjustment data is obtained through monitoring and analysis of all data, and the technical effect of refining regulation is achieved.
Further, the embodiment of the present application further includes:
step S1010: obtaining corresponding aging treatment duration according to the rice embryo crystallization change information;
step S1020: judging whether the aging treatment time length reaches a third preset condition, wherein the third preset condition is a lower limit value of standard aging time length under the rice germ humidity information and the corresponding aging temperature information;
step S1030: when the aging treatment time length reaches the third preset condition, obtaining a predicted aging result according to the current rice embryo crystallization change information and the residual aging time length;
step S1040: and when the predicted aging result does not meet a fourth preset condition, second reminding information is obtained.
Specifically, the fourth predetermined condition refers to a certain hardness standard which is required to be achieved by the rice embryo after the aging process flow. And judging whether the obtained corresponding aging treatment time length reaches the lower limit value of the standard aging time length, wherein the lower limit value of the standard aging time length is carried out on the corresponding rice germ humidity information and the corresponding aging temperature information. According to the determination of the amylose crystal content and the aging duration measured at present, the aging duration result is predicted, whether the aging market meets the process requirements of rice embryos or not is judged, the number of micro-crystal bundles of rice flour is gradually increased from inside to outside along with the increase of the aging time, the gel network structure of the rice flour is changed from loose to compact, the strength is changed from weak to strong, the product has toughness, the broken strip rate is reduced, and second reminding information is obtained to remind that the aging duration of the rice embryos is too long and the hardness of the product is too hard or the aging duration is too short and the elastic mouthfeel is not easy to form when the aging result does not meet a fourth preset condition through prediction. The rice noodle aging effect of the aging time is analyzed and judged firstly, and the rice embryo processing flow which does not reach the aging effect with certain requirements is timely and accurately reminded.
Further, the embodiment of the present application further includes:
step S1110: when the first matching degree meets a second preset condition, obtaining the predicted aging duration according to the rice embryo crystallization change information;
step S1120: judging whether the predicted aging duration meets a fifth preset condition, wherein the fifth preset condition is a standard aging duration interval under the rice germ humidity information and the corresponding aging temperature information;
step S1130: when the first reminding information does not meet the requirement, third reminding information is obtained;
step S1140: and obtaining second adjustment data according to the rice embryo crystallization change information and the predicted aging duration.
Specifically, the rice embryo aging duration of the rice embryo crystallization change information is predicted according to the change information of the amylose crystallinity in the rice embryo, and then is compared with the fifth preset condition of the standard aging duration interval under the rice embryo humidity information and the corresponding aging temperature information, if the rice embryo aging process duration does not meet the preset standard duration, the information of the time duration that the rice embryo still needs to be aged is predicted according to the rice embryo crystallization change information, and then related influence factors are adjusted, the time parameter of the aging process flow is regulated, and the technical effect of refining and regulating the aging duration is achieved, so that the rice flour aging effect is guaranteed.
Further, after determining whether the rice germ humidity information satisfies the first predetermined condition, step S200 in this embodiment of the present application further includes:
step S210: when the rice germ humidity information does not meet the first preset condition, obtaining a standard rice germ humidity requirement;
step S220: obtaining a first correlation according to the rice germ humidity information and the standard rice germ humidity requirement;
step S230: judging whether the first relevance is within the requirement of an adjustment interval;
step S240: and when the first relevance is within the requirement of the adjustment interval, obtaining third adjustment data according to the rice germ humidity information and the first relevance.
Specifically, the first relevance is a correlation degree between the adjustment factor between the rice embryo humidity information and the standard rice embryo humidity requirement and the rice embryo aging effect, if the rice embryo humidity information does not satisfy the first predetermined condition, the real-time rice embryo humidity is adjusted according to the standard rice embryo humidity requirement, the humidity of the rice embryo also has a certain influence on the hardness, the humidity is adjusted, the water content of the rice embryo can be increased to meet the standard rice embryo humidity requirement, the rice embryo humidity can also be increased by adding an additive meeting the relevant use standard, wherein the water adding content is not too much, namely the adjustment interval needs to be met, because the too high water content can change the starch crystallinity in the rice embryo, the compactness and the distributivity of the rice flour gel structure are influenced, and the third adjustment data are obtained, the rice embryo humidity information can be finely regulated, and the rice noodle aging effect can be optimized.
Further, after determining whether the first relevance is within the adjustment interval requirement, step S230 in this embodiment of the present application further includes:
step S231: and when the first relevance is not within the requirement of the adjustment interval, obtaining first replacement information, wherein the first replacement information is used for warning that the rice embryo does not meet the requirement and suggesting replacement.
Specifically, whether the first relevance is within the adjustment interval requirement is judged, if the first relevance is not within the adjustment interval requirement, the gelatinization characteristic of starch is damaged due to excessive water content of rice embryos, most starch cannot participate in ordered arrangement due to unstable humidity, the network structure of subsequent ordered gel is affected, the quality of rice flour is poor, first replacement information needs to be obtained, and the rice embryos which do not meet the requirement are replaced.
In summary, the method and the device for regulating and controlling the hardness of rice flour provided by the embodiment of the application have the following technical effects:
the technical effect of the rice flour hardness regulation and control method is achieved by obtaining the rice germ humidity information, judging whether the rice germ humidity information meets a first preset condition, obtaining aging temperature information if the rice germ humidity information meets the first preset condition, aging the rice germ at the current aging temperature, inputting the obtained rice germ crystallization change information and a crystallization change standard curve into a first training model, obtaining a first matching degree, and obtaining adjustment data for adjustment if the first matching degree does not meet a second preset condition through judgment, so that different factors influencing rice flour hardness are refined and regulated, and the accurate and reasonable rice flour hardness regulation and control method is provided.
Because the rice embryo crystallization change information and the crystallization change standard curve are input into a first training model, the first training model is obtained by training a plurality of groups of data, and a first matching degree of the matching degree between the change of the crystallization state in the rice embryo aging process and the standard change is further obtained based on the characteristic of accurate data obtained by training a neural network model, the rice embryo crystallization is correspondingly adjusted according to the matching degree, and the technical effect of accurately adjusting the hardness of rice flour is achieved.
Because the rice embryo crystallinity in the rice embryo aging process is analyzed, the related influence factors influencing the aging effect, including the rice embryo humidity, the aging time and the aging temperature, are further obtained, so that the accurate data analysis result is obtained, the influence factors are correspondingly refined and adjusted according to the predicted and judged aging result, and the rice flour aging effect is further ensured.
Example two
Based on the same inventive concept as the method for regulating the hardness of rice flour in the previous embodiment, the present invention also provides a device for regulating the hardness of rice flour, as shown in fig. 2, the device comprises:
the first obtaining unit 11 is used for obtaining rice embryo humidity information by the first obtaining unit 11;
the first judging unit 12, the first judging unit 12 is configured to judge whether the rice germ humidity information meets a first predetermined condition;
a second obtaining unit 13, wherein the second obtaining unit 13 is used for obtaining aging temperature information according to the rice embryo humidity information when the aging temperature information is satisfied;
a third obtaining unit 14, where the third obtaining unit 14 is configured to age the rice embryo under the aging temperature information, and obtain the rice embryo crystallization change information in real time;
a fourth obtaining unit 15, the fourth obtaining unit 15 being configured to obtain a standard curve of crystallization variation;
a first input unit 16, where the first input unit 16 is configured to input the rice embryo crystallization change information and the crystallization change standard curve into a first training model, where the first training model is obtained by training multiple sets of training data, and each set of training data in the multiple sets includes: the rice embryo crystallization change information, the crystallization change standard curve and identification information for identifying the degree of matching of crystallization change;
a fifth obtaining unit 17, where the fifth obtaining unit 17 is configured to obtain first output information of the first training model, where the first output information includes a first matching degree, and the first matching degree is used to indicate a matching degree between a change in a crystalline state of the rice embryo in an aging process and a standard change;
a sixth obtaining unit 18, where the sixth obtaining unit 18 is configured to obtain the first reminding information in real time when the first matching degree does not satisfy the second predetermined condition;
a seventh obtaining unit 19, where the seventh obtaining unit 19 is configured to obtain first adjustment data according to the first matching degree;
an eighth obtaining unit 20, where the eighth obtaining unit 20 is configured to obtain a first adjustment instruction according to the first adjustment data.
Further, the apparatus further comprises:
the first acquisition unit is used for acquiring rice embryo crystallization image information in real time;
the first determining unit is used for determining the identification information of the crystallization area according to the rice embryo crystallization image information;
a ninth obtaining unit, configured to obtain standard crystallization state grade information according to the rice embryo humidity information and the aging temperature information, where the standard crystallization state grade information is grade division information of a crystallization state corresponding to each time point under the rice embryo humidity information and the corresponding aging temperature information;
a second input unit, configured to input the crystallization region identification information and the standard crystallization state grade information into a second training model, where the second training model is obtained by training multiple sets of training data, and each set of training data in the multiple sets includes: the crystallization area identification information, the standard crystallization state grade information and identification information for identifying a grade matched by the crystallization change;
a tenth obtaining unit, configured to obtain second output information of the second training model, where the second output information includes crystallization grade information, and the crystallization grade information is used to evaluate a crystallization state of the rice embryo in an aging process;
an eleventh obtaining unit, configured to obtain the crystallization level information at two consecutive time points, and obtain crystallization level variation information;
and the second determining unit is used for determining the rice embryo crystallization change information according to the crystallization grade change information.
Further, the apparatus further comprises:
a twelfth obtaining unit, configured to obtain, according to the first matching degree, the corresponding rice germ crystallization change information;
a thirteenth obtaining unit, configured to obtain an aging processing duration according to the rice embryo crystallization change information;
a fourteenth obtaining unit, configured to obtain the first adjustment data according to the rice embryo crystallization change information and the aging processing time.
Further, the apparatus further comprises:
a fifteenth obtaining unit, configured to obtain a corresponding aging processing duration according to the rice embryo crystallization change information;
a second judging unit, configured to judge whether the aging processing time length reaches a third predetermined condition, where the third predetermined condition is a lower limit value of a standard aging time length under the rice germ humidity information and the corresponding aging temperature information;
a sixteenth obtaining unit, configured to, when the aging processing duration reaches the third predetermined condition, obtain a predicted aging result according to the current rice germ crystallization change information and the remaining aging duration;
a seventeenth obtaining unit, configured to obtain second reminding information when the predicted aging result does not satisfy a fourth predetermined condition.
Further, the apparatus further comprises:
an eighteenth obtaining unit, configured to, when the first matching degree meets a second predetermined condition, obtain a predicted aging duration according to the rice embryo crystallization change information;
a third judging unit, configured to judge whether the predicted aging duration satisfies a fifth predetermined condition, where the fifth predetermined condition is a standard aging duration interval under the rice germ humidity information and the corresponding aging temperature information;
a nineteenth obtaining unit, configured to obtain third reminding information when the first reminding information is not satisfied;
a twentieth obtaining unit, configured to obtain second adjustment data according to the rice embryo crystallization change information and the predicted aging duration.
Further, the apparatus further comprises:
a twenty-first obtaining unit, configured to obtain a standard rice germ humidity requirement when the rice germ humidity information does not meet the first predetermined condition;
a twenty-second obtaining unit, configured to obtain a first correlation according to the rice germ humidity information and the standard rice germ humidity requirement;
a fourth judging unit, configured to judge whether the first relevance is within an adjustment interval requirement;
a twenty-third obtaining unit, configured to obtain third adjustment data according to the rice germ humidity information and the first correlation when the first correlation is within the adjustment interval requirement.
Further, the apparatus further comprises:
a twenty-fourth obtaining unit, configured to obtain first replacement information when the first correlation is not within the adjustment interval requirement, where the first replacement information is used to warn that the rice embryo does not meet the requirement and suggest replacement.
Various modifications and specific examples of the method for regulating hardness of rice flour in the first embodiment of fig. 1 are also applicable to the device for regulating hardness of rice flour in the present embodiment, and the implementation method of the device for regulating hardness of rice flour in the present embodiment is clear to those skilled in the art from the foregoing detailed description of the method for regulating hardness of rice flour, so for the sake of brevity of the description, detailed description is omitted here.
Exemplary electronic device
The electronic device of the embodiment of the present application is described below with reference to fig. 3.
Fig. 3 illustrates a schematic structural diagram of an electronic device according to an embodiment of the present application.
Based on the inventive concept of a method for controlling the hardness of rice flour as in the previous embodiment, the present invention further provides a device for controlling the hardness of rice flour, on which a computer program is stored, which when executed by a processor implements the steps of any one of the methods for controlling the hardness of rice flour as described above.
Where in fig. 3 a bus architecture (represented by bus 300), bus 300 may include any number of interconnected buses and bridges, bus 300 linking together various circuits including one or more processors, represented by processor 302, and memory, represented by memory 304. The bus 300 may also link together various other circuits such as peripherals, voltage regulators, power management circuits, and the like, which are well known in the art, and therefore, will not be described any further herein. A bus interface 306 provides an interface between the bus 300 and the receiver 301 and transmitter 303. The receiver 301 and the transmitter 303 may be the same element, i.e., a transceiver, providing a means for communicating with various other apparatus over a transmission medium.
The processor 302 is responsible for managing the bus 300 and general processing, and the memory 304 may be used for storing data used by the processor 302 in performing operations.
The embodiment of the invention provides a method for regulating and controlling the hardness of rice flour, which comprises the following steps: obtaining rice embryo humidity information; judging whether the rice germ humidity information meets a first preset condition or not; when the humidity information meets the requirement, acquiring aging temperature information according to the rice embryo humidity information; aging the rice embryo under the aging temperature information to obtain the crystallization change information of the rice embryo in real time; obtaining a standard curve of crystallization change; inputting the rice embryo crystallization change information and the crystallization change standard curve into a first training model, wherein the first training model is obtained by training a plurality of groups of training data, and each group of training data in the plurality of groups comprises: the rice embryo crystallization change information, the crystallization change standard curve and identification information for identifying the degree of matching of crystallization change; obtaining first output information of the first training model, wherein the first output information comprises a first matching degree, and the first matching degree is used for representing the matching degree between the change of the crystalline state and the standard change in the rice embryo aging process; when the first matching degree does not meet a second preset condition, first reminding information is obtained in real time; obtaining first adjustment data according to the first matching degree; and obtaining a first adjusting instruction according to the first adjusting data. The technical problem that enterprise assessment of supply chain finance is not intelligent and accurate enough in the prior art is solved, intelligent and accurate assessment of enterprises in the supply chain is achieved, and the technical effect of providing more suitable supply chain financial services is achieved. The method solves the technical problems that the hardness regulation and control of the rice flour production process is not refined and the quality is not easy to control in the prior art, achieves the technical effects of refining different factors influencing the hardness of the rice flour and providing an accurate and reasonable rice flour hardness regulation and control method.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, apparatus, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (devices), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may 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, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks. While preferred embodiments of the present invention have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. Therefore, it is intended that the appended claims be interpreted as including preferred embodiments and all such alterations and modifications as fall within the scope of the invention.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.

Claims (9)

1. A method of regulating rice flour hardness, the method comprising:
obtaining rice embryo humidity information;
judging whether the rice germ humidity information meets a first preset condition or not;
when the humidity information meets the requirement, acquiring aging temperature information according to the rice embryo humidity information;
aging the rice embryo under the aging temperature information to obtain the crystallization change information of the rice embryo in real time;
obtaining a standard curve of crystallization change;
inputting the rice embryo crystallization change information and the crystallization change standard curve into a first training model, wherein the first training model is obtained by training a plurality of groups of training data, and each group of training data in the plurality of groups comprises: the rice embryo crystallization change information, the crystallization change standard curve and identification information for identifying the degree of matching of crystallization change;
obtaining first output information of the first training model, wherein the first output information comprises a first matching degree, and the first matching degree is used for representing the matching degree between the change of the crystalline state and the standard change in the rice embryo aging process;
when the first matching degree does not meet a second preset condition, first reminding information is obtained in real time;
obtaining first adjustment data according to the first matching degree;
and obtaining a first adjusting instruction according to the first adjusting data.
2. The method of claim 1, wherein the aging of the rice embryo under the aging temperature information to obtain the rice embryo crystallization change information in real time comprises:
acquiring rice embryo crystallization image information in real time;
determining crystallization area identification information according to the rice embryo crystallization image information;
obtaining standard crystallization state grade information according to the rice embryo humidity information and the aging temperature information, wherein the standard crystallization state grade information is grade division information of a crystallization state corresponding to each time point under the rice embryo humidity information and the corresponding aging temperature information;
inputting the identification information of the crystallization area and the grade information of the standard crystallization state into a second training model, wherein the second training model is obtained by training a plurality of groups of training data, and each group of training data in the plurality of groups comprises: the crystallization area identification information, the standard crystallization state grade information and identification information for identifying a grade matched by the crystallization change;
obtaining second output information of the second training model, wherein the second output information comprises crystallization grade information, and the crystallization grade information is used for evaluating the crystallization state of the rice embryo in the aging process;
obtaining the crystallization grade information of two continuous time points to obtain crystallization grade change information;
and determining the rice embryo crystallization change information according to the crystallization grade change information.
3. The method of claim 1, wherein said obtaining first adjustment data based on said first degree of match comprises:
obtaining corresponding rice embryo crystallization change information according to the first matching degree;
obtaining the aging processing time according to the rice embryo crystallization change information;
and obtaining the first adjustment data according to the rice embryo crystallization change information and the aging processing duration.
4. The method of claim 1, wherein the method comprises:
obtaining corresponding aging treatment duration according to the rice embryo crystallization change information;
judging whether the aging treatment time length reaches a third preset condition, wherein the third preset condition is a lower limit value of standard aging time length under the rice germ humidity information and the corresponding aging temperature information;
when the aging treatment time length reaches the third preset condition, obtaining a predicted aging result according to the current rice embryo crystallization change information and the residual aging time length;
and when the predicted aging result does not meet a fourth preset condition, second reminding information is obtained.
5. The method of claim 1, wherein the method comprises:
when the first matching degree meets a second preset condition, obtaining the predicted aging duration according to the rice embryo crystallization change information;
judging whether the predicted aging duration meets a fifth preset condition, wherein the fifth preset condition is a standard aging duration interval under the rice germ humidity information and the corresponding aging temperature information;
when the first reminding information does not meet the requirement, third reminding information is obtained;
and obtaining second adjustment data according to the rice embryo crystallization change information and the predicted aging duration.
6. The method of claim 1, wherein the determining whether the rice germ moisture information meets a first predetermined condition comprises:
when the rice germ humidity information does not meet the first preset condition, obtaining a standard rice germ humidity requirement;
obtaining a first correlation according to the rice germ humidity information and the standard rice germ humidity requirement;
judging whether the first relevance is within the requirement of an adjustment interval;
and when the first relevance is within the requirement of the adjustment interval, obtaining third adjustment data according to the rice germ humidity information and the first relevance.
7. The method of claim 6, wherein said determining whether the first association is within an adjustment interval requirement comprises:
and when the first relevance is not within the requirement of the adjustment interval, obtaining first replacement information, wherein the first replacement information is used for warning that the rice embryo does not meet the requirement and suggesting replacement.
8. A device for regulating the hardness of rice flour, wherein the device comprises:
the first obtaining unit is used for obtaining rice embryo humidity information;
the first judging unit is used for judging whether the rice germ humidity information meets a first preset condition or not;
the second obtaining unit is used for obtaining aging temperature information according to the rice germ humidity information when the rice germ humidity information is met;
the third obtaining unit is used for aging the rice embryo under the aging temperature information to obtain the rice embryo crystallization change information in real time;
a fourth obtaining unit for obtaining a standard curve of crystallization variation;
a first input unit, configured to input the rice embryo crystallization change information and the crystallization change standard curve into a first training model, where the first training model is obtained by training multiple sets of training data, and each set of training data in the multiple sets includes: the rice embryo crystallization change information, the crystallization change standard curve and identification information for identifying the degree of matching of crystallization change;
a fifth obtaining unit, configured to obtain first output information of the first training model, where the first output information includes a first matching degree, and the first matching degree is used to indicate a matching degree between a change in a crystalline state and a standard change in a rice embryo aging process;
a sixth obtaining unit, configured to obtain, in real time, first reminding information when the first matching degree does not satisfy a second predetermined condition;
a seventh obtaining unit, configured to obtain first adjustment data according to the first matching degree;
an eighth obtaining unit, configured to obtain a first adjustment instruction according to the first adjustment data.
9. An apparatus for regulating the hardness of rice flour comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor when executing the program implements the steps of the method of any one of claims 1-7.
CN202011561327.8A 2020-12-25 2020-12-25 Method and device for regulating and controlling hardness of rice flour Withdrawn CN112528567A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113137836A (en) * 2021-04-23 2021-07-20 柳州东风容泰化工股份有限公司 Drying method and system for preparing o-chlorobenzonitrile

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110352660A (en) * 2019-07-12 2019-10-22 塔里木大学 A kind of ginning cotton seed vigor Fast nondestructive evaluation information processing method and device
CN110404688A (en) * 2019-07-12 2019-11-05 塔里木大学 A kind of machine pick cotton information processing method miscellaneous clearly and device merging electrostatic and wind-force
CN112098814A (en) * 2020-11-04 2020-12-18 上海菲莱测试技术有限公司 Method and device for improving chip test temperature control precision
CN112100928A (en) * 2020-11-09 2020-12-18 北京邮电大学 Method and device for improving performance of lithium ion battery based on temperature

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110352660A (en) * 2019-07-12 2019-10-22 塔里木大学 A kind of ginning cotton seed vigor Fast nondestructive evaluation information processing method and device
CN110404688A (en) * 2019-07-12 2019-11-05 塔里木大学 A kind of machine pick cotton information processing method miscellaneous clearly and device merging electrostatic and wind-force
CN112098814A (en) * 2020-11-04 2020-12-18 上海菲莱测试技术有限公司 Method and device for improving chip test temperature control precision
CN112100928A (en) * 2020-11-09 2020-12-18 北京邮电大学 Method and device for improving performance of lithium ion battery based on temperature

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113137836A (en) * 2021-04-23 2021-07-20 柳州东风容泰化工股份有限公司 Drying method and system for preparing o-chlorobenzonitrile

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