CN114121188A - Application and correction method and system of monoglyceride - Google Patents
Application and correction method and system of monoglyceride Download PDFInfo
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- LDVVTQMJQSCDMK-UHFFFAOYSA-N 1,3-dihydroxypropan-2-yl formate Chemical compound OCC(CO)OC=O LDVVTQMJQSCDMK-UHFFFAOYSA-N 0.000 title claims abstract description 128
- 238000000034 method Methods 0.000 title claims abstract description 65
- 238000012937 correction Methods 0.000 title claims abstract description 28
- 238000001514 detection method Methods 0.000 claims abstract description 144
- 238000011156 evaluation Methods 0.000 claims abstract description 74
- 238000003756 stirring Methods 0.000 claims abstract description 60
- 230000002159 abnormal effect Effects 0.000 claims abstract description 48
- 238000011077 uniformity evaluation Methods 0.000 claims abstract description 44
- 230000005856 abnormality Effects 0.000 claims abstract description 36
- 238000009826 distribution Methods 0.000 claims description 16
- 239000002245 particle Substances 0.000 claims description 14
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- 238000012545 processing Methods 0.000 claims description 4
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- OGBUMNBNEWYMNJ-UHFFFAOYSA-N batilol Chemical class CCCCCCCCCCCCCCCCCCOCC(O)CO OGBUMNBNEWYMNJ-UHFFFAOYSA-N 0.000 claims 2
- 230000008569 process Effects 0.000 abstract description 18
- 238000003860 storage Methods 0.000 description 15
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- VBICKXHEKHSIBG-UHFFFAOYSA-N 1-monostearoylglycerol Chemical compound CCCCCCCCCCCCCCCCCC(=O)OCC(O)CO VBICKXHEKHSIBG-UHFFFAOYSA-N 0.000 description 2
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- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 2
- 229920002472 Starch Polymers 0.000 description 1
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Abstract
The invention provides a monoglyceride use correction method and a monoglyceride use correction system, wherein the method comprises the following steps: obtaining a first set of images; obtaining a first uniformity evaluation parameter and a first granularity parameter; obtaining a first characteristic value; obtaining a first real-time stirring parameter, and obtaining a second characteristic value through the first real-time stirring parameter; carrying out abnormal use detection on monoglyceride to obtain a first abnormal use detection result; obtaining first application information, and carrying out the use matching degree evaluation of monoglyceride to obtain a first matching degree evaluation result; a second usage abnormality detection result is obtained, and usage correction is performed based on the second usage abnormality detection result. The technical problems that in the prior art, in the using process of the monoglyceride, due to the fact that the monoglyceride has different qualities, the abnormal using condition is caused, the enterprise has weak detection capability on the abnormal using condition, and the detection accuracy is poor are solved.
Description
Technical Field
The invention relates to the field of food additives, in particular to a method and a system for using and correcting monoglyceride.
Background
Distilled glyceryl monostearate produced by taking natural vegetable oil as a raw material is called monoglyceride for short, and the monoglyceride has the effects of emulsifying, dispersing, stabilizing, foaming, defoaming, starch ageing resistance and the like. It can be used in food, medicine, daily chemical industry, plastics, packaging and cosmetics.
Because the emulsification effect of monoglyceride is influenced by a plurality of factors such as production equipment, process raw materials and the like, in order to more fully exert the effect of molecular distillation monoglyceride and improve the emulsification effect, a use method of preparing a hydrate and then feeding is often suggested, which is beneficial to the dispersion of the molecular distillation monoglyceride in a water base.
However, in the process of implementing the technical scheme of the invention in the embodiment of the present application, it is found that the above technology has at least the following technical problems:
in the using process of the monoglyceride, due to the fact that the monoglyceride has abnormal use caused by quality difference, enterprises have poor detection capability and poor detection accuracy on the abnormal use condition.
Disclosure of Invention
The embodiment of the application provides a method and a system for using and correcting monoglyceride, and solves the technical problems that in the prior art, in the using process of monoglyceride, due to the fact that the monoglyceride has abnormal use conditions caused by quality difference, an enterprise has poor detection capability and poor detection accuracy on the abnormal use conditions. The technical effects that the granularity and the uniformity of monoglyceride are evaluated, monoglyceride materials are analyzed, anomaly detection is carried out through an anomaly detection model, and the detection capability and the detection accuracy of abnormal conditions are improved are achieved.
In view of the above problems, the embodiments of the present application provide a method and a system for correcting the use of monoglyceride.
In a first aspect, the present embodiments provide a method for correcting the use of monoglyceride, where the method includes: acquiring a real-time image of monoglyceride by the image acquisition equipment to obtain a first image set; carrying out monoglyceride particle uniformity evaluation according to the first image set to obtain a first uniformity evaluation parameter and a first granularity parameter; obtaining a first characteristic value according to the first uniformity evaluation parameter and the first granularity evaluation parameter; obtaining a first real-time stirring parameter according to the stirring equipment, and obtaining a second characteristic value through the first real-time stirring parameter; carrying out abnormal use detection on monoglyceride according to the first characteristic value and the second characteristic value to obtain a first abnormal use detection result; obtaining first application information, and performing the use matching degree evaluation of monoglyceride according to the first application information to obtain a first matching degree evaluation result; and obtaining a second use abnormality detection result based on the first matching degree evaluation result and the first use abnormality detection result, and performing use correction based on the second use abnormality detection result.
In another aspect, an embodiment of the present application provides a usage correction system for monoglyceride, where the system includes: the device comprises a first obtaining unit, a second obtaining unit and a third obtaining unit, wherein the first obtaining unit is used for carrying out real-time image acquisition on monoglyceride through image acquisition equipment to obtain a first image set; a second obtaining unit, configured to perform uniformity evaluation on monoglyceride particles according to the first image set, to obtain a first uniformity evaluation parameter and a first granularity parameter; a third obtaining unit, configured to obtain a first feature value according to the first uniformity evaluation parameter and the first granularity evaluation parameter; the fourth obtaining unit is used for obtaining a first real-time stirring parameter according to the stirring equipment and obtaining a second characteristic value through the first real-time stirring parameter; a fifth obtaining unit, configured to perform usage anomaly detection on monoglyceride according to the first characteristic value and the second characteristic value, and obtain a first usage anomaly detection result; a sixth obtaining unit, configured to obtain first application information, perform usage matching degree evaluation on monoglyceride according to the first application information, and obtain a first matching degree evaluation result; a first execution unit configured to obtain a second usage abnormality detection result based on the first matching degree evaluation result and the first usage abnormality detection result, and perform usage correction based on the second usage abnormality detection result.
In a third aspect, an embodiment of the present application provides a usage correction system for monoglyceride, including 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 according to any one 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:
acquiring a first image set by acquiring a real-time image of monoglyceride through the image acquisition equipment; carrying out monoglyceride particle uniformity evaluation according to the first image set to obtain a first uniformity evaluation parameter and a first granularity parameter; obtaining a first characteristic value according to the first uniformity evaluation parameter and the first granularity evaluation parameter; obtaining a first real-time stirring parameter according to the stirring equipment, and obtaining a second characteristic value through the first real-time stirring parameter; carrying out abnormal use detection on monoglyceride according to the first characteristic value and the second characteristic value to obtain a first abnormal use detection result; obtaining first application information, and performing the use matching degree evaluation of monoglyceride according to the first application information to obtain a first matching degree evaluation result; according to the technical scheme, the second use abnormity detection result is obtained based on the first matching degree evaluation result and the first use abnormity detection result, and the use correction is carried out based on the second use abnormity detection result.
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 calibrating the use of monoglyceride according to an embodiment of the present invention;
FIG. 2 is a schematic flow chart of a method for calibrating the use of monoglyceride to obtain a first abnormal use detection result according to an embodiment of the present application;
FIG. 3 is a schematic flow chart of a method for calibrating the use of monoglyceride to obtain a first abnormal use detection result according to an embodiment of the present application;
FIG. 4 is a schematic flow chart of a method for obtaining a first feasibility assessment result using a calibration method for monoglyceride according to an embodiment of the present application;
FIG. 5 is a schematic diagram of a system for calibrating the use of monoglyceride according to an embodiment of the present invention;
fig. 6 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 second obtaining unit 12, a third obtaining unit 13, a fourth obtaining unit 14, a fifth obtaining unit 15, a sixth obtaining unit 16, a first executing unit 17, an electronic device 300, a memory 301, a processor 302, a communication interface 303, and a bus architecture 304.
Detailed Description
The embodiment of the application provides a method and a system for using and correcting monoglyceride, and solves the technical problems that in the prior art, in the using process of monoglyceride, due to the fact that the monoglyceride has abnormal use conditions caused by quality difference, an enterprise has poor detection capability and poor detection accuracy on the abnormal use conditions. The technical effects that the granularity and the uniformity of monoglyceride are evaluated, monoglyceride materials are analyzed, anomaly detection is carried out through an anomaly detection model, and the detection capability and the detection accuracy of abnormal conditions are improved are achieved.
Summary of the application
Monoglyceride is a good emulsifier, can improve instant solubility, prevent precipitation, agglomeration and granulation, improve product quality, and can be used as surfactant in food and cosmetic industries. In the prior art, the technical problems that in the using process of monoglyceride, due to the fact that the monoglyceride has abnormal use caused by quality difference, enterprises are not strong in detection capability of abnormal use conditions and poor in detection accuracy exist.
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 using and correcting monoglyceride, wherein the method comprises the following steps: acquiring a real-time image of monoglyceride by the image acquisition equipment to obtain a first image set; carrying out monoglyceride particle uniformity evaluation according to the first image set to obtain a first uniformity evaluation parameter and a first granularity parameter; obtaining a first characteristic value according to the first uniformity evaluation parameter and the first granularity evaluation parameter; obtaining a first real-time stirring parameter according to the stirring equipment, and obtaining a second characteristic value through the first real-time stirring parameter; carrying out abnormal use detection on monoglyceride according to the first characteristic value and the second characteristic value to obtain a first abnormal use detection result; obtaining first application information, and performing the use matching degree evaluation of monoglyceride according to the first application information to obtain a first matching degree evaluation result; and obtaining a second use abnormality detection result based on the first matching degree evaluation result and the first use abnormality detection result, and performing use correction based on the second use abnormality detection result.
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, an embodiment of the present application provides a method for correcting the use of monoglyceride, wherein the method is applied to a system for correcting the use of monoglyceride, the system is connected to an image acquisition device and a stirring device in communication, and the method includes:
s100: acquiring a real-time image of monoglyceride by the image acquisition equipment to obtain a first image set;
s200: carrying out monoglyceride particle uniformity evaluation according to the first image set to obtain a first uniformity evaluation parameter and a first granularity parameter;
specifically, the image acquisition device is any image acquisition device. And acquiring a real-time image of the monoglyceride based on the image acquisition equipment to obtain a large number of clear monoglyceride pictures and generate the first image set. And at normal temperature, the monoglyceride is a white or light yellow solid, and monoglyceride particle uniformity evaluation is carried out on the first image set to obtain a first uniformity evaluation parameter and a first granularity parameter. To give an example without limitation: monoglyceride granule degree of consistency can be observed to the image of gathering through image acquisition equipment, if the granule degree of consistency is relatively poor, the circumstances such as local colour is darker can appear, if the granule degree of consistency is better, then the colour homogeneity of image, and the distribution is comparatively neat. The first uniformity evaluation parameter is used for evaluating the uniformity of monoglyceride particles, and the first granularity parameter is used for describing the granularity of monoglyceride.
S300: obtaining a first characteristic value according to the first uniformity evaluation parameter and the first granularity evaluation parameter;
s400: obtaining a first real-time stirring parameter according to the stirring equipment, and obtaining a second characteristic value through the first real-time stirring parameter;
specifically, feature extraction is performed on the first uniformity evaluation parameter and the first granularity evaluation parameter obtained according to the uniformity evaluation result of the monoglyceride particles, so as to obtain the first feature value. To give an example without limitation: the first uniformity evaluation parameter comprises color, dispersion and the like, the first granularity evaluation parameter comprises granularity and the like, and a characteristic value reflecting uniformity is obtained through characteristic extraction. The first characteristic value was used to evaluate the homogeneity of monoglyceride. The monoglyceride is used by slowly adding monoglyceride into hot water under stirring. Therefore, the real-time stirring parameters of the stirring equipment are collected, and the second characteristic value is generated after the stirring parameter characteristic extraction is carried out, wherein the second characteristic value reflects the influence of the stirring process on the uniformity of the monoglyceride particles.
S500: carrying out abnormal use detection on monoglyceride according to the first characteristic value and the second characteristic value to obtain a first abnormal use detection result;
further, as shown in fig. 2, the embodiment of the present application further includes:
s510: obtaining historical usage data of monoglyceride through big data, wherein the historical usage data is usage data meeting a first preset requirement;
s520: obtaining a first set of eigenvalues and a second set of eigenvalues from the historical usage data;
s530: constructing an alignment detection model according to the first characteristic value set and the second characteristic value set;
s540: performing feature detection according to the first feature value, the second feature value and the comparison detection model to obtain a first detection output value;
s550: and obtaining the first abnormal use detection result according to the comparison result of the first detection output value and the first preset requirement.
Particularly, in the using process of monoglyceride, the monoglyceride is easily influenced by a plurality of factors such as production equipment, process raw materials and the like, and abnormal conditions occur. And carrying out abnormal use detection on monoglyceride through the first characteristic value and the second characteristic value to obtain a first abnormal use detection result. Historical using data of the monoglyceride is obtained based on the big data, the historical using data are accurately recorded data, and the data are accurate and reliable, namely the using data meet the first preset requirement. And classifying the historical usage data to obtain the first feature value set and the second feature value set. The first characteristic value set is characteristic data of the uniformity of the reaction monoglyceride, and the second characteristic value set is characteristic data of stirring parameters of the reaction stirring device. And constructing a comparison detection model based on the first characteristic value set and the second characteristic value set, wherein the comparison detection model is an abnormal detection model, and capturing abnormal conditions through the existing abnormal detection algorithm.
And inputting the first characteristic value and the second characteristic value as input information into the comparison detection model for characteristic detection, wherein the output result is the first detection output value. The first predetermined requirement is preferably to ensure that the monoglyceride has uniformity during use and is not prone to caking and agglomeration. And comparing the first detection output value with the first preset requirement, and obtaining the first abnormal use detection result based on the comparison result of the first detection output value and the first preset requirement. The first abnormal use detection result can detect the abnormal condition in the monoglyceride use process, so that related workers are reminded to timely process the monoglyceride.
S600: obtaining first application information, and performing the use matching degree evaluation of monoglyceride according to the first application information to obtain a first matching degree evaluation result;
s700: and obtaining a second use abnormality detection result based on the first matching degree evaluation result and the first use abnormality detection result, and performing use correction based on the second use abnormality detection result.
Specifically, because the application range of the monoglyceride material is wide, different application scenes have different requirements on the performance of the monoglyceride, for example, when the monoglyceride material is applied to the field of food, the requirement on the purity of the monoglyceride is strict. Therefore, the first application information of the monoglyceride is obtained, including the application field, the substance which reacts with the monoglyceride, and the like. Due to the fact that the matching degree of the purity, the heavy metal content and the like of the used monoglyceride and an application scene is not enough, abnormity occurs in the using process, such as influence on product quality, failure in achieving expected emulsification effect and the like. Therefore, the evaluation of the using matching degree of the monoglyceride is carried out based on the first application information to obtain the first matching degree evaluation result, the first matching degree evaluation result and the first using abnormity detection result generate a second using abnormity detection result, and the second abnormity detection result takes into account the matching degree of the application information and can carry out more accurate judgment and detection on the abnormity result, so that the monoglyceride is scientifically and reliably corrected.
Further, the embodiment of the present application further includes:
s710: respectively constructing a first characteristic comparison detection model and a second characteristic comparison detection model according to the first characteristic value set and the second characteristic value set through formulas, wherein the formulas are as follows:
wherein,
is the average of the characteristic values and is,
is the standard deviation of the eigenvalues;
s720: and obtaining a first characteristic deviation coefficient according to the first characteristic comparison detection model and the first characteristic value, obtaining a second characteristic deviation coefficient according to the second characteristic comparison detection model and the second characteristic value, and obtaining the first use abnormity detection result according to the first characteristic deviation coefficient and the second characteristic deviation coefficient.
Specifically, the first characteristic value set is characteristic data of the uniformity of the reaction monoglyceride, and the second characteristic value set is characteristic data of the stirring parameters of the reaction stirring device. And respectively constructing the first characteristic comparison detection model and the second characteristic comparison detection model by the formula. Wherein the first and second eigenvalue sets are in accordance with Gaussian distribution, and the average value of the eigenvalues is calculated by the existing data
And standard deviation of characteristic values
Further by
The calculation formula of (2) performs anomaly detection calculation, a threshold value is given, if the threshold value is smaller than the threshold value, the calculation formula is abnormal, otherwise, the calculation formula is normal. Thereby completing the construction of the first feature comparison detection model and the second feature comparison detection model.
Comparing a detection model with the first characteristic value based on the first characteristicObtaining the first characteristic deviation coefficient, obtaining the second characteristic deviation coefficient based on the second characteristic comparison detection model and the second characteristic value, wherein the first characteristic deviation coefficient and the second deviation coefficient are based on
The calculation formula (2) performs the judgment result of the abnormality detection. The method has the advantages that the abnormality detection is carried out through the abnormality detection algorithm, the detection scientificity and accuracy can be improved, the feature comparison detection model is respectively constructed according to the first feature value set and the second feature value set, and the accuracy of the judgment model can be improved.
Further, as shown in fig. 3, the embodiment of the present application further includes:
s721: obtaining a first usage influence coefficient of the first evenness evaluation parameter and the first granularity parameter;
s722: obtaining a second use influence coefficient of the first real-time stirring parameter;
s723: obtaining a first weight distribution result according to the first usage influence coefficient and the second usage influence coefficient;
s724: and performing weight distribution of the first characteristic deviation coefficient and the second characteristic deviation coefficient according to the first weight distribution result, and obtaining the first use abnormity detection result according to the weight distribution result.
Specifically, the influence coefficients of these indices were statistically analyzed, since uniformity, granularity, and stirring parameters all affected the use of monoglyceride. The first and second usage impact coefficients may be obtained, but are not limited to, by historical experimental data, by analysis of historical usage data. And performing weight distribution on the first usage influence coefficient and the second usage influence coefficient based on different application scenes. To give an example without limitation: the uniformity and granularity of monoglyceride have a greater effect on the quality of a certain product, while the stirring parameters have a lesser effect, and weight distribution is performed based on the effect of both on the quality of the product. Obtaining the first usage abnormality detection result based on a result of weight assignment of the first feature deviation coefficient and the second feature deviation coefficient. The anomaly detection result is more accurate.
Further, the embodiment of the present application further includes:
s810: obtaining a first parameter correlation coefficient according to the first characteristic value and the second characteristic value;
s820: when the first abnormal use detection result is abnormal detection, obtaining a first adjustment scheme of the first real-time stirring parameter according to the first parameter association coefficient;
s830: and controlling the stirring equipment to carry out correction processing according to the first adjustment scheme.
Specifically, a first parameter correlation coefficient is obtained based on the first feature value and the second feature value, and the first parameter correlation coefficient is used to represent a degree of correlation between the first feature value and the second feature value. When the first abnormal use detection result is abnormal detection, the process flow needs to be adjusted in real time, and a first adjustment scheme of the first real-time stirring parameter is obtained according to the first parameter correlation coefficient and is used for adjusting the stirring parameter of the stirring equipment in real time, such as: stirring speed, stirring temperature, etc. And correction treatment is carried out, so that the problems in the using process of the monoglyceride can be effectively improved.
Further, the embodiment of the present application further includes:
s831: obtaining a first expected cost threshold;
s832: judging whether the loss cost under the first adjustment scheme meets the first expected cost threshold value;
s833: and when the loss cost under the first adjustment scheme does not meet the first expected cost threshold, setting the first uniformity evaluation parameter and the first granularity evaluation parameter corresponding to the first characteristic value as forbidden use parameters.
Further, as shown in fig. 4, the embodiment of the present application further includes:
s8331: obtaining a first usage result under the first adjustment scheme when the lost cost under the first adjustment scheme satisfies the first expected cost threshold;
s8332: carrying out feasibility degree evaluation on the first adjusting scheme according to the first using result to obtain a first feasibility degree evaluation result;
s8333: and when the first feasibility evaluation result meets a first preset threshold value, mapping and associating the first adjusting scheme with the first evenness evaluation parameter and the first granularity evaluation parameter.
Specifically, the correction processing of the stirring device by using the first adjustment scheme may cause differences between the device occupation time, the power consumption, the effect of finished products, and the like, and the original prefetching result, and may cause a cost loss for the enterprise. And obtaining the expected cost threshold of the production enterprise, namely the first expected cost threshold, and if the first expected cost threshold is exceeded, the enterprise cannot bear the loss and is at a higher risk. Accounting is performed for the loss cost under the first adjustment scenario, for example: and counting the additionally consumed power, the occupation cost of the extra equipment and the like.
Obtaining a loss cost, judging whether the loss cost under the first adjustment scheme meets the first expected cost threshold, if not, indicating that the loss is too large and an enterprise cannot bear the loss, setting the first uniformity evaluation parameter and the first granularity evaluation parameter corresponding to the first characteristic value as usage prohibition parameters, that is, products identical to the first uniformity evaluation parameter and the first granularity evaluation parameter are prohibited from being used by the enterprise. And if the loss cost under the first adjustment scheme meets the first expected cost threshold, indicating that the loss is still within the enterprise bearing range, and obtaining the first use result after adjustment according to the adjustment scheme. Performing feasibility evaluation of the first adjustment scheme according to the first usage result, as an example without limitation: the feasibility evaluation result can be obtained by comparing the economic benefit and the loss cost brought by the quality improvement of the product. And presetting the first preset threshold value for measuring the feasibility evaluation result. If the first feasibility assessment result meets a first preset threshold, the feasibility is high, adjustment and correction can be performed in an enterprise, and then the first adjustment scheme is mapped and associated with the first uniformity assessment parameter and the first granularity assessment parameter, that is, one adjustment scheme corresponds to a series of uniformity assessment parameters and granularity assessment parameters. Therefore, a scientific and reliable adjustment scheme and evaluation parameters with strong pertinence can be obtained, and the use and correction of the monoglyceride are more suitable for the actual conditions of enterprises.
In summary, the application and correction method and system of monoglyceride provided by the embodiment of the present application have the following technical effects:
1. acquiring a first image set by acquiring a real-time image of monoglyceride through the image acquisition equipment; carrying out monoglyceride particle uniformity evaluation according to the first image set to obtain a first uniformity evaluation parameter and a first granularity parameter; obtaining a first characteristic value according to the first uniformity evaluation parameter and the first granularity evaluation parameter; obtaining a first real-time stirring parameter according to the stirring equipment, and obtaining a second characteristic value through the first real-time stirring parameter; carrying out abnormal use detection on monoglyceride according to the first characteristic value and the second characteristic value to obtain a first abnormal use detection result; obtaining first application information, and performing the use matching degree evaluation of monoglyceride according to the first application information to obtain a first matching degree evaluation result; according to the technical scheme, the second use abnormity detection result is obtained based on the first matching degree evaluation result and the first use abnormity detection result, and the use correction is carried out based on the second use abnormity detection result.
2. Due to the adoption of the feasibility degree evaluation and mapping association method, a scientific and reliable adjustment scheme and evaluation parameters with strong pertinence can be obtained, and the technical effect that the application and correction of monoglyceride are more suitable for the actual conditions of enterprises is achieved.
Example two
Based on the same inventive concept as the method for correcting the use of monoglyceride in the previous embodiment, as shown in fig. 5, the present embodiment provides a system for correcting the use of monoglyceride, wherein the system includes:
a first obtaining unit 11, where the first obtaining unit 11 is configured to perform real-time image acquisition of monoglyceride by using an image acquisition device, to obtain a first image set;
a second obtaining unit 12, where the second obtaining unit 12 is configured to perform uniformity evaluation on monoglyceride particles according to the first image set to obtain a first uniformity evaluation parameter and a first granularity parameter;
a third obtaining unit 13, where the third obtaining unit 13 is configured to obtain a first feature value according to the first uniformity evaluation parameter and the first granularity evaluation parameter;
a fourth obtaining unit 14, where the fourth obtaining unit 14 is configured to obtain a first real-time stirring parameter according to a stirring device, and obtain a second eigenvalue through the first real-time stirring parameter;
a fifth obtaining unit 15, where the fifth obtaining unit 15 is configured to perform usage abnormality detection on monoglyceride according to the first characteristic value and the second characteristic value, and obtain a first usage abnormality detection result;
a sixth obtaining unit 16, where the sixth obtaining unit 16 is configured to obtain first application information, and perform usage matching degree evaluation on monoglyceride according to the first application information to obtain a first matching degree evaluation result;
a first execution unit 17, wherein the first execution unit 17 is configured to obtain a second usage abnormality detection result based on the first matching degree evaluation result and the first usage abnormality detection result, and perform usage correction based on the second usage abnormality detection result.
Further, the system comprises:
a seventh obtaining unit, configured to obtain historical usage data of monoglyceride by big data, where the historical usage data is usage data that satisfies a first predetermined requirement;
an eighth obtaining unit, configured to obtain a first set of feature values and a second set of feature values from the historical usage data;
the first construction unit is used for constructing an alignment detection model according to the first characteristic value set and the second characteristic value set;
a ninth obtaining unit, configured to perform feature detection according to the first feature value, the second feature value, and the comparison detection model to obtain a first detection output value;
a tenth obtaining unit, configured to obtain the first usage abnormality detection result according to the comparison result between the first detection output value and the first predetermined requirement.
Further, the system comprises:
an eleventh obtaining unit configured to obtain the first uniformity evaluation parameter and a first usage influence coefficient of the first granularity parameter;
a twelfth obtaining unit, configured to obtain a second usage influence coefficient of the first real-time stirring parameter;
a thirteenth obtaining unit configured to obtain a first weight distribution result from the first usage influence coefficient and the second usage influence coefficient;
a fourteenth obtaining unit, configured to perform weight distribution of the first feature deviation coefficient and the second feature deviation coefficient according to the first weight distribution result, and obtain the first usage abnormality detection result according to the weight distribution result.
Further, the system comprises:
a fifteenth obtaining unit, configured to obtain a first parameter correlation coefficient according to the first feature value and the second feature value;
a sixteenth obtaining unit, configured to, when the first usage abnormality detection result is detection abnormality, obtain a first adjustment scheme of the first real-time stirring parameter according to the first parameter association coefficient;
a second execution unit for controlling the stirring device to perform a correction process according to the first adjustment scheme.
Further, the system comprises:
a seventeenth obtaining unit for obtaining a first expected cost threshold;
a first judging unit, configured to judge whether the loss cost under the first adjustment scheme satisfies the first expected cost threshold;
a third executing unit, configured to set the first uniformity evaluation parameter and the first granularity evaluation parameter corresponding to the first feature value as usage prohibition parameters when the loss cost under the first adjustment scheme does not satisfy the first expected cost threshold.
Further, the system comprises:
an eighteenth obtaining unit for obtaining a first usage result under the first adjustment scheme when the loss cost under the first adjustment scheme satisfies the first expected cost threshold;
a nineteenth obtaining unit, configured to perform feasibility degree evaluation on the first adjustment scheme according to the first usage result, and obtain a first feasibility degree evaluation result;
a fourth execution unit, configured to map and associate the first adjustment scheme with the first uniformity evaluation parameter and the first granularity evaluation parameter when the first feasibility evaluation result satisfies a first preset threshold.
Exemplary electronic device
The electronic apparatus of the embodiment of the present application is described below with reference to fig. 6.
Based on the same inventive concept as the method for correcting the use of monoglyceride in the previous embodiment, the embodiment of the present application further provides a system for correcting the use of monoglyceride, which includes: a processor coupled to a memory, the memory for storing a program that, when executed by the processor, causes a system to perform the method of any of the first aspects.
The electronic device 300 includes: processor 302, communication interface 303, memory 301. Optionally, the electronic device 300 may also include a bus architecture 304. Wherein, the communication interface 303, the processor 302 and the memory 301 may be connected to each other through a bus architecture 304; the bus architecture 304 may be a Peripheral Component Interconnect (PCI) bus, an Extended Industry Standard Architecture (EISA) bus, or the like. The bus architecture 304 may be divided into an address bus, a data bus, a control bus, and the like. For ease of illustration, only one thick line is shown in FIG. 6, but this is not intended to represent only one bus or type of bus.
The communication interface 303 may be any device, such as a transceiver, for communicating with other devices or communication networks, such as an ethernet, a Radio Access Network (RAN), a Wireless Local Area Network (WLAN), a wired access network, and the like.
The memory 301 may be, but is not limited to, a ROM or other type of static storage device that can store static information and instructions, a RAM or other type of dynamic storage device that can store information and instructions, an electrically erasable Programmable read-only memory (EEPROM), a compact disk read-only memory (CD-ROM) or other optical disk storage, optical disk storage (including compact disk, laser disk, optical disk, digital versatile disk, blu-ray disk, etc.), a magnetic disk storage medium or other magnetic storage device, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer. The memory may be self-contained and coupled to the processor through a bus architecture 304. The memory may also be integral to the processor.
The memory 301 is used for storing computer-executable instructions for executing the present application, and is controlled by the processor 302 to execute. The processor 302 is used for executing the computer-executable instructions stored in the memory 301, so as to implement a method for correcting the usage of monoglyceride provided by the above-mentioned embodiments of the present application.
Optionally, the computer-executable instructions in the embodiments of the present application may also be referred to as application program codes, which are not specifically limited in the embodiments of the present application.
The embodiment of the application provides a method for using and correcting monoglyceride, wherein the method comprises the following steps: acquiring a real-time image of monoglyceride by the image acquisition equipment to obtain a first image set; carrying out monoglyceride particle uniformity evaluation according to the first image set to obtain a first uniformity evaluation parameter and a first granularity parameter; obtaining a first characteristic value according to the first uniformity evaluation parameter and the first granularity evaluation parameter; obtaining a first real-time stirring parameter according to the stirring equipment, and obtaining a second characteristic value through the first real-time stirring parameter; carrying out abnormal use detection on monoglyceride according to the first characteristic value and the second characteristic value to obtain a first abnormal use detection result; obtaining first application information, and performing the use matching degree evaluation of monoglyceride according to the first application information to obtain a first matching degree evaluation result; and obtaining a second use abnormality detection result based on the first matching degree evaluation result and the first use abnormality detection result, and performing use correction based on the second use abnormality detection result.
Those of ordinary skill in the art will understand that: the various numbers of the first, second, etc. mentioned in this application are only used for the convenience of description and are not used to limit the scope of the embodiments of this application, nor to indicate the order of precedence. "and/or" describes the association relationship of the associated objects, meaning that there may be three relationships, e.g., a and/or B, which may mean: a exists alone, A and B exist simultaneously, and B exists alone. The character "/" generally indicates that the former and latter associated objects are in an "or" relationship. "at least one" means one or more. At least two means two or more. "at least one," "any," or similar expressions refer to any combination of these items, including any combination of singular or plural items. For example, at least one (one ) of a, b, or c, may represent: a, b, c, a-b, a-c, b-c, or a-b-c, wherein a, b, c may be single or multiple.
In the above embodiments, the implementation may be wholly or partially realized by software, hardware, firmware, or any combination thereof. When implemented in software, may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When loaded and executed on a computer, cause the processes or functions described in accordance with the embodiments of the application to occur, in whole or in part. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable device. The computer instructions may be stored in a computer readable storage medium or transmitted from one computer readable storage medium to another, for example, from one website site, computer, server, or data center to another website site, computer, server, or data center via wired (e.g., coaxial cable, fiber optic, Digital Subscriber Line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device including one or more available media integrated servers, data centers, and the like. The usable medium may be a magnetic medium (e.g., floppy Disk, hard Disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., Solid State Disk (SSD)), among others.
The various illustrative logical units and circuits described in this application may be implemented or operated upon by design of a general purpose processor, a digital signal processor, an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other programmable logic device, discrete gate or transistor logic, discrete hardware components, or any combination thereof. A general-purpose processor may be a microprocessor, but in the alternative, the processor may be any conventional processor, controller, microcontroller, or state machine. A processor may also be implemented as a combination of computing devices, e.g., a digital signal processor and a microprocessor, a plurality of microprocessors, one or more microprocessors in conjunction with a digital signal processor core, or any other similar configuration.
The steps of a method or algorithm described in the embodiments herein may be embodied directly in hardware, in a software element executed by a processor, or in a combination of the two. The software cells may be stored in RAM memory, flash memory, ROM memory, EPROM memory, EEPROM memory, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art. For example, a storage medium may be coupled to the processor such the processor can read information from, and write information to, the storage medium. In the alternative, the storage medium may be integral to the processor. The processor and the storage medium may reside in an ASIC, which may be disposed in a terminal. In the alternative, the processor and the storage medium may reside in different components within the terminal. 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.
Although the present application has been described in conjunction with specific features and embodiments thereof, it will be evident that various modifications and combinations can be made thereto without departing from the spirit and scope of the application. Accordingly, the specification and figures are merely exemplary of the present application as defined in the appended claims and are intended to cover any and all modifications, variations, combinations, or equivalents within the scope of the present application. It will be apparent to those skilled in the art that various changes and modifications may be made in the present application without departing from the scope of the application. Thus, if such modifications and variations of the present application fall within the scope of the claims of the present application and their equivalents, the present application is intended to include such modifications and variations.
Claims (9)
1. A monoglyceride use correction method is applied to a monoglyceride use correction system which is in communication connection with an image acquisition device and a stirring device, and the method comprises the following steps:
acquiring a real-time image of monoglyceride by the image acquisition equipment to obtain a first image set;
carrying out monoglyceride particle uniformity evaluation according to the first image set to obtain a first uniformity evaluation parameter and a first granularity parameter;
obtaining a first characteristic value according to the first uniformity evaluation parameter and the first granularity evaluation parameter;
obtaining a first real-time stirring parameter according to the stirring equipment, and obtaining a second characteristic value through the first real-time stirring parameter;
carrying out abnormal use detection on monoglyceride according to the first characteristic value and the second characteristic value to obtain a first abnormal use detection result;
obtaining first application information, and performing the use matching degree evaluation of monoglyceride according to the first application information to obtain a first matching degree evaluation result;
and obtaining a second use abnormality detection result based on the first matching degree evaluation result and the first use abnormality detection result, and performing use correction based on the second use abnormality detection result.
2. The method of claim 1, wherein the method further comprises:
obtaining historical usage data of monoglyceride through big data, wherein the historical usage data is usage data meeting a first preset requirement;
obtaining a first set of eigenvalues and a second set of eigenvalues from the historical usage data;
constructing an alignment detection model according to the first characteristic value set and the second characteristic value set;
performing feature detection according to the first feature value, the second feature value and the comparison detection model to obtain a first detection output value;
and obtaining the first abnormal use detection result according to the comparison result of the first detection output value and the first preset requirement.
3. The method of claim 2, wherein the method further comprises:
respectively constructing a first characteristic comparison detection model and a second characteristic comparison detection model according to the first characteristic value set and the second characteristic value set through formulas, wherein the formulas are as follows:
wherein,
is the average of the characteristic values and is,
is the standard deviation of the eigenvalues;
and obtaining a first characteristic deviation coefficient according to the first characteristic comparison detection model and the first characteristic value, obtaining a second characteristic deviation coefficient according to the second characteristic comparison detection model and the second characteristic value, and obtaining the first use abnormity detection result according to the first characteristic deviation coefficient and the second characteristic deviation coefficient.
4. The method of claim 3, wherein the method further comprises:
obtaining a first usage influence coefficient of the first evenness evaluation parameter and the first granularity parameter;
obtaining a second use influence coefficient of the first real-time stirring parameter;
obtaining a first weight distribution result according to the first usage influence coefficient and the second usage influence coefficient;
and performing weight distribution of the first characteristic deviation coefficient and the second characteristic deviation coefficient according to the first weight distribution result, and obtaining the first use abnormity detection result according to the weight distribution result.
5. The method of claim 1, wherein the method further comprises:
obtaining a first parameter correlation coefficient according to the first characteristic value and the second characteristic value;
when the first abnormal use detection result is abnormal detection, obtaining a first adjustment scheme of the first real-time stirring parameter according to the first parameter association coefficient;
and controlling the stirring equipment to carry out correction processing according to the first adjustment scheme.
6. The method of claim 5, wherein the method further comprises:
obtaining a first expected cost threshold;
judging whether the loss cost under the first adjustment scheme meets the first expected cost threshold value;
and when the loss cost under the first adjustment scheme does not meet the first expected cost threshold, setting the first uniformity evaluation parameter and the first granularity evaluation parameter corresponding to the first characteristic value as forbidden use parameters.
7. The method of claim 6, wherein the method further comprises:
obtaining a first usage result under the first adjustment scheme when the lost cost under the first adjustment scheme satisfies the first expected cost threshold;
carrying out feasibility degree evaluation on the first adjusting scheme according to the first using result to obtain a first feasibility degree evaluation result;
and when the first feasibility evaluation result meets a first preset threshold value, mapping and associating the first adjusting scheme with the first evenness evaluation parameter and the first granularity evaluation parameter.
8. A system for correcting the use of monoglycerides, the system comprising:
the device comprises a first obtaining unit, a second obtaining unit and a third obtaining unit, wherein the first obtaining unit is used for carrying out real-time image acquisition on monoglyceride through image acquisition equipment to obtain a first image set;
a second obtaining unit, configured to perform uniformity evaluation on monoglyceride particles according to the first image set, to obtain a first uniformity evaluation parameter and a first granularity parameter;
a third obtaining unit, configured to obtain a first feature value according to the first uniformity evaluation parameter and the first granularity evaluation parameter;
the fourth obtaining unit is used for obtaining a first real-time stirring parameter according to the stirring equipment and obtaining a second characteristic value through the first real-time stirring parameter;
a fifth obtaining unit, configured to perform usage anomaly detection on monoglyceride according to the first characteristic value and the second characteristic value, and obtain a first usage anomaly detection result;
a sixth obtaining unit, configured to obtain first application information, perform usage matching degree evaluation on monoglyceride according to the first application information, and obtain a first matching degree evaluation result;
a first execution unit configured to obtain a second usage abnormality detection result based on the first matching degree evaluation result and the first usage abnormality detection result, and perform usage correction based on the second usage abnormality detection result.
9. A system for correcting the use of monoglycerides, comprising: a processor coupled to a memory for storing a program that, when executed by the processor, causes a system to perform the method of any of claims 1-7.
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