CN117215277A - Production control method and system of veterinary drug feed - Google Patents
Production control method and system of veterinary drug feed Download PDFInfo
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- CN117215277A CN117215277A CN202311488989.0A CN202311488989A CN117215277A CN 117215277 A CN117215277 A CN 117215277A CN 202311488989 A CN202311488989 A CN 202311488989A CN 117215277 A CN117215277 A CN 117215277A
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- 239000000273 veterinary drug Substances 0.000 title claims abstract description 16
- 238000000195 production control method Methods 0.000 title claims abstract description 12
- 230000000694 effects Effects 0.000 claims abstract description 92
- 238000000034 method Methods 0.000 claims abstract description 79
- 230000008569 process Effects 0.000 claims abstract description 59
- 239000013598 vector Substances 0.000 claims abstract description 58
- 239000002994 raw material Substances 0.000 claims abstract description 55
- 238000004519 manufacturing process Methods 0.000 claims abstract description 43
- 238000011156 evaluation Methods 0.000 claims description 50
- 239000002245 particle Substances 0.000 claims description 39
- 239000000843 powder Substances 0.000 claims description 36
- 238000010298 pulverizing process Methods 0.000 claims description 26
- 230000001276 controlling effect Effects 0.000 claims description 15
- 230000000875 corresponding effect Effects 0.000 claims description 15
- 230000006870 function Effects 0.000 claims description 12
- 238000012216 screening Methods 0.000 claims description 7
- 230000002596 correlated effect Effects 0.000 claims description 4
- 238000004590 computer program Methods 0.000 claims description 3
- 230000004044 response Effects 0.000 claims description 3
- 238000000227 grinding Methods 0.000 description 7
- 238000005457 optimization Methods 0.000 description 5
- 238000003860 storage Methods 0.000 description 4
- 238000010276 construction Methods 0.000 description 3
- 238000010586 diagram Methods 0.000 description 3
- 241001465754 Metazoa Species 0.000 description 2
- 230000002159 abnormal effect Effects 0.000 description 2
- 238000004458 analytical method Methods 0.000 description 2
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- 238000004891 communication Methods 0.000 description 2
- 239000003814 drug Substances 0.000 description 2
- 238000002156 mixing Methods 0.000 description 2
- 230000009467 reduction Effects 0.000 description 2
- 230000003068 static effect Effects 0.000 description 2
- 208000031295 Animal disease Diseases 0.000 description 1
- 238000009395 breeding Methods 0.000 description 1
- 230000001488 breeding effect Effects 0.000 description 1
- 230000009194 climbing Effects 0.000 description 1
- 238000001816 cooling Methods 0.000 description 1
- 238000007405 data analysis Methods 0.000 description 1
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- 230000002068 genetic effect Effects 0.000 description 1
- 235000020627 health maintaining nutrition Nutrition 0.000 description 1
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- 238000004806 packaging method and process Methods 0.000 description 1
- 238000003825 pressing Methods 0.000 description 1
- 238000012795 verification Methods 0.000 description 1
Abstract
The application relates to the field of production control, in particular to a production control method and a production control system for veterinary feed, wherein the method comprises the following steps: constructing a crushing effect model, wherein the dosage vector comprises the dosage of each raw material; constructing a unit temperature rise model; determining a target temperature interval according to the active temperature interval of each raw material in the veterinary drug feed; constructing an optimizing problem based on the target temperature interval, the unit temperature rise model and the crushing effect model, wherein the optimizing problem comprises an objective function and constraint conditions; solving the optimizing problem to obtain target power and target crushing duration, and controlling crushing equipment to finish the crushing process based on the target power and the target crushing duration. According to the technical scheme, the accurate control of the crushing process can be realized, so that the product quality and the production efficiency of veterinary feed are improved.
Description
Technical Field
The application relates to the field of production control in general, in particular to a production control method and a production control system for veterinary feed.
Background
The veterinary feed is an important component in the cultivation link, and can help animals obtain healthy nutrition and promote growth and development of the animals. The veterinary drug feed can effectively prevent and treat animal diseases and reduce the breeding cost.
The production flow of veterinary feeds generally comprises the following links: raw material treatment, crushing, mixing and blending, pressing and granulating, cooling and screening, packaging and the like. In the crushing process, the crushing efficiency can be ensured by using larger power of the crushing equipment, but the temperature rise can be caused by the larger power of the crushing equipment, so that the crushing quality and the quality of veterinary medicine feed are affected.
At present, a patent application document with publication number of CN116610081A discloses a feed production control method, which is used for interacting basic information of production equipment and configuring the subordinate relation of the production equipment; collecting a production process for obtaining feed, positioning production equipment and calling a subordinate relation; performing equipment interaction and reading equipment operation data; collecting product data to generate stage product data; executing data analysis of equipment operation data to generate equipment abnormal control analysis results; performing data acquisition verification of product data at the execution stage to generate production auxiliary information; inputting the affiliation, the equipment operation data, the production auxiliary information and the abnormal control analysis result into an intelligent optimization model, outputting an optimization control result, and carrying out production control of the feed based on the result.
However, the method directly inputs the association between the production process and production equipment of the feed into the intelligent optimization model to obtain an optimization control result, so that the production control of the feed is realized, but the association between the equipment operation parameters and the environment parameters in the crushing process is ignored, for example, the environment temperature is increased due to the fact that the operation power is high, the quality of the veterinary feed product is reduced, and the production efficiency is reduced due to the fact that the operation power is low.
Disclosure of Invention
In order to solve the technical problems in the prior art, the application provides a production control method and a production control system for veterinary drug feed, so that the product quality and the production efficiency of the veterinary drug feed are improved.
The application provides a production control method of veterinary medicine feed, which is used for controlling crushing equipment to complete the crushing process and comprises the following steps: constructing a crushing effect model, wherein the input of the crushing effect model is a dosage vector, the crushing duration and the power of crushing equipment, and the output is a crushing effect evaluation index, the crushing effect evaluation index is used for reflecting the crushing efficiency of the crushing process and whether the size of powder particles after the crushing process is finished meets the set size, and the dosage vector comprises the dosage of each raw material; building a unit temperature rise model, wherein the input of the unit temperature rise model is the consumption vector and the power of the crushing equipment, the output is the unit temperature rise, and the unit temperature rise is the temperature rise in unit time in the crushing process; determining a target temperature interval according to the active temperature interval of each raw material in the veterinary drug feed; constructing an optimizing problem based on the target temperature interval, the unit temperature rise model and the crushing effect model, wherein the optimizing problem comprises an objective function and constraint conditions, and the objective function satisfies a relation:
wherein,for the quantity vector, +.>For the power of the comminuting device, +.>For the duration of pulverization, ->For the model of the pulverizing effect->For the value of the objective function, for characterizing the usage vector +.>The maximum value of the corresponding crushing effect evaluation index; the constraint condition satisfies a relationshipThe formula:
wherein,for ambient temperature->For the unit temperature rise model, a quantity vector +.>And Power->Corresponding unit temperature rise; />For the target temperature interval,/a->And->Respectively the minimum power and the maximum allowable power of the crushing equipment; solving the optimizing problem to obtain target power and target crushing duration, and controlling crushing equipment to finish the crushing process based on the target power and the target crushing duration.
In some embodiments, before the constructing the shredding effect model, the method further comprises: constructing a crushing effect initial model, wherein the crushing effect initial model meets the relation:
wherein,representing the transpose of the usage vector, ">For the power of the comminuting device, < > for>For the duration of pulverization, ->Is a raw material parameter vector comprising the influencing parameters of each raw material on the comminution process,/->And->Negative and positive correlation coefficients, respectively, of the comminution duration,>is an evaluation index of the crushing effect; wherein the raw material parameter vector, the negative correlation coefficient and the positive correlation coefficient are predetermined coefficients.
In some embodiments, the constructing the shredding effect model includes: in any historical crushing process, collecting a dosage vector, the power of crushing equipment and the crushing time length, and collecting a crushing effect evaluation index after the historical crushing process is finished; storing the usage vector, the power of the crushing apparatus, the crushing duration, and the crushing effect evaluation index as a set of crushed samples in response to the crushing effect evaluation index being greater than a set index value; fitting the initial crushing effect model on all the crushing samples by using a least square method, and determining the numerical value of the undetermined coefficient to obtain the crushing effect model.
In some embodiments, collecting the crushing effect evaluation index after the historical crushing process is finished comprises: after the historical crushing process is finished, acquiring the crushing time length and the weight of all powder particles; screening all the powder particles by using a screen, and obtaining the weight of the residual powder particles on the screen after screening is finished, wherein the screen is provided with screen holes with set sizes, and the set sizes are equal to the maximum allowable sizes of the powder particles; calculating a crushing effect evaluation index based on the usage vector, the weight of the remaining powder particles, the crushing duration, and the weight of all powder particles, the crushing effect evaluation index satisfying the relation:
wherein,for the duration of pulverization, ->For the weight of the remaining powder particles>For the weight of all powder particles>Is an evaluation index of the pulverizing effect.
In some embodiments, the initial model of unit rise satisfies the relationship:
wherein,for a raw material temperature rise vector comprising the influencing parameters of each raw material on the temperature rise,/->For the power temperature rise parameter, < >>For the power of the comminuting device, +.>Transpose of quantity vector, +.>For the temperature rise, +.>For the duration of pulverization, ->Is a unit temperature rise, wherein->And->And the undetermined coefficient of the unit temperature rise initial model is obtained.
In some embodiments, the target temperature interval is the intersection of each raw material activity temperature interval in the veterinary feed.
In some embodiments, solving the optimization problem to obtain the target power and the target shredding duration comprises: solving the optimizing problem by utilizing an optimizing algorithm, and taking the corresponding crushing duration and the power of the crushing equipment when the crushing effect evaluation index takes the maximum value as the target crushing duration and the target power on the premise of meeting the constraint condition.
The application also provides a veterinary feed production control system comprising a processor and a memory, the memory storing computer program instructions which, when executed by the processor, implement a veterinary feed production control method according to the first aspect of the application.
According to the production control method of the veterinary drug feed, a crushing effect model is firstly constructed, and crushing effect evaluation indexes are determined according to the consumption of each raw material, the crushing duration and the power of crushing equipment; constructing a unit temperature rise model, and determining unit temperature rise according to the consumption of each raw material and the power of the crushing equipment; further, the maximum temperature in the crushing process is calculated according to the unit temperature rise model, and the corresponding crushing duration and the power of crushing equipment when the crushing effect evaluation index reaches the maximum are solved as constraint conditions, so that the accurate control of the crushing process is realized, and the product quality and the production efficiency of veterinary feed are improved.
Drawings
The above, as well as additional purposes, features, and advantages of exemplary embodiments of the present application will become readily apparent from the following detailed description when read in conjunction with the accompanying drawings. In the drawings, embodiments of the application are illustrated by way of example and not by way of limitation, and like reference numerals refer to similar or corresponding parts and in which:
FIG. 1 is a flow chart of a method of controlling the production of a veterinary feed in accordance with an embodiment of the present application;
fig. 2 is a block diagram of a veterinary feed production control system according to an embodiment of the present application.
Detailed Description
The following description of the embodiments of the present application will be made clearly and fully with reference to the accompanying drawings, in which it is evident that the embodiments described are some, but not all embodiments of the application. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
It should be understood that when the terms "first," "second," and the like are used in the claims, the specification and the drawings of the present application, they are used merely for distinguishing between different objects and not for describing a particular sequential order. The terms "comprises" and "comprising" when used in the specification and claims of the present application are taken to specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.
According to a first aspect of the present application there is provided a method of controlling the production of a veterinary feed. Fig. 1 is a flowchart of a method for controlling the production of veterinary feed according to an embodiment of the application. The order of the steps in the flow diagrams may be changed, and some steps may be omitted, according to different needs.
S11, constructing a crushing effect model, wherein the input of the crushing effect model is a dosage vector, the crushing duration and the power of crushing equipment, and the output is a crushing effect evaluation index, the crushing effect evaluation index is used for reflecting the crushing efficiency of the crushing process and whether the size of powder particles after the crushing process is finished meets the set size, and the dosage vector comprises the dosage of each raw material.
In one embodiment, in the veterinary feed crushing process, the particle sizes and hardness of different raw materials are different, in order to achieve a crushing result meeting the requirements, the crushing equipment is required to operate under different power and crushing duration, so that the crushing effect evaluation indexes of the crushing process are different, the crushing effect evaluation indexes are used for reflecting the crushing efficiency of the crushing process, and whether the particle sizes of the powder after the crushing process are up to a set size or not. Thus, the control parameters of the veterinary feed comminution process include the power of the comminution apparatus and the comminution duration.
Since the particle size and hardness of the different raw materials are different, the dosage of the different raw materials needs to be collected to form a dosage vector when constructing a crushing effect model, and the dosage vector is 1 lineVectors of columns>For the production of veterinary feed, the number of types of all raw materials is such that the amount vector corresponds to one raw material per column, i.e. the amount vector comprises the amount of each raw material.
Illustratively, when the number of kinds of all raw materials is 10 in the production of veterinary feed, the dosage vector is a vector of 1 row and 10 column; if a veterinary feed is pulverized by using only the 1 st, 5 th and sixth raw materials, and the dosage is sequentially 10, 3.5 and 15, the corresponding dosage vector is。
After the dosage vector is determined, the larger the crushing duration is, the more easily the powder particle size after the crushing process is finished reaches the crushing requirement, so that the crushing effect evaluation index is increased, but the larger the crushing duration is, the reduction of the crushing efficiency is caused, and the reduction of the crushing effect evaluation index is caused, so that a positive correlation term is constructed based on the crushing duration in the applicationAnd a negative correlation term->And using the undetermined parameters->And->Characterizing the influence degree of the crushing time on the size of powder particles and the crushing efficiency; in addition, the larger the power of the crushing equipment is, the more easily the powder particle size after the crushing process is finished reaches the crushing requirement, and the higher the crushing efficiency is, so that the power of the crushing equipment is positively correlated with the crushing effect evaluation index; constructing a crushing effect initial model, wherein the crushing effect initial model meets the relation:
wherein,representing the transpose of the usage vector, ">For the power of the comminuting device, < > for>For the duration of pulverization, ->Is a raw material parameter vector comprising the influencing parameters of each raw material on the comminution process,/->And->Negative and positive correlation coefficients, respectively, of the comminution duration,>is an evaluation index of the crushing effect; wherein the raw material parameter vector, the negative correlation coefficient and the positive correlation coefficient are predetermined coefficients.
Specifically, the constructing the crushing effect model includes: in any historical crushing process, collecting a dosage vector, the power of crushing equipment and the crushing time length, and collecting a crushing effect evaluation index after the historical crushing process is finished; storing the usage vector, the power of the crushing apparatus, the crushing duration, and the crushing effect evaluation index as a set of crushed samples in response to the crushing effect evaluation index being greater than a set index value; fitting the initial crushing effect model on all the crushing samples by using a least square method, and determining the numerical value of the undetermined coefficient to obtain the crushing effect model.
Wherein the value of the set index value is 1.
In one embodiment, collecting the crushing effect evaluation index after the end of the historic crushing process includes: after the historical crushing process is finished, acquiring the crushing time length and the weight of all powder particles; screening all the powder particles by using a screen, and obtaining the weight of the residual powder particles on the screen after screening is finished, wherein the screen is provided with screen holes with the set size; calculating a crushing effect evaluation index based on the usage vector, the weight of the remaining powder particles, the crushing duration, and the weight of all powder particles, the crushing effect evaluation index satisfying the relation:
wherein,for the duration of pulverization, ->For the weight of the remaining powder particles>For the weight of all powder particles>Is an evaluation index of the pulverizing effect.
Wherein the set size of the mesh is related to the comminution requirements, said set size being equal to the maximum allowable size of the powder particles. It will be appreciated that the number of components,characterizing the weight of powder particles obtained in unit time, which can be used to characterize the pulverizing efficiency; />The ratio of powder particles larger than the maximum allowable size of all powder particles can be used to characterize whether the powder particle size meets the set size.
Thus, the construction of the crushing effect model is completed, the consumption of each raw material, the crushing time length and the power of the crushing equipment are input into the crushing effect model, and the crushing effect evaluation index can be output, and is positively correlated with the crushing effect, and comprehensively reflects the crushing efficiency of the crushing process, and whether the size of the powder particles after the crushing process is finished meets the set size.
S12, constructing a unit temperature rise model, wherein the input of the unit temperature rise model is the consumption vector and the power of the crushing equipment, the output is the unit temperature rise, and the unit temperature rise is the temperature rise in unit time in the crushing process.
In one embodiment, during the comminution of veterinary feed, the raw material may rub against the comminuting device to generate heat, and in particular between the raw material particles and the blades rotating at high speed, the heat being inevitably generated by the friction, so that the temperature of the raw material increases; at the same time, the operation of the crushing equipment itself can also raise the temperature of the raw material, and the temperature rise of the raw material can affect the activity of the raw material. Therefore, in order to improve the quality of veterinary feed products and ensure the activity of raw materials in the crushing process, a unit temperature rise model needs to be constructed to determine the temperature rise amount in unit time in the crushing process.
Specifically, the construction of the unit temperature rise model includes: constructing a unit temperature rise initial model, wherein in the unit temperature rise initial model, the unit temperature rise is positively correlated with the using amount vector and the power; in any historical crushing process, collecting a dosage vector, the power of crushing equipment and the crushing time, and collecting the temperature rise after the historical crushing process is finished to be used as a group of temperature rise samples; fitting the unit temperature rise initial model on all temperature rise samples by using a least square method, and determining the numerical value of the undetermined coefficient in the unit temperature rise initial model to obtain the unit temperature rise model.
Wherein, the initial model of unit temperature rise satisfies the relation:
wherein,for a raw material temperature rise vector comprising the influencing parameters of each raw material on the temperature rise,/->For the power temperature rise parameter, < >>For the power of the comminuting device, +.>Transpose of quantity vector, +.>For the temperature rise, +.>For the duration of pulverization, ->Is a unit temperature rise, wherein->And->And the undetermined coefficient of the unit temperature rise initial model is obtained.
Thus, the construction of the unit temperature rise model is completed, the unit temperature rise in the crushing process can be output by inputting the using amount vector and the power of the crushing equipment into the unit temperature rise model.
S13, determining a target temperature interval according to the active temperature interval of each raw material in the veterinary feed.
In one embodiment, the veterinary feed comprises a plurality of raw materials, each raw material having a different active temperature interval. For example, if the activity of a raw material is insensitive to temperature changes, the activity temperature interval corresponding to the raw material is larger; if the activity of a raw material is sensitive to temperature change, the corresponding activity temperature interval of the raw material is smaller, and the temperature range in which the raw material keeps active is taken as the activity temperature interval of the raw material.
The intersection of the active temperature ranges of each raw material in the veterinary drug feed is taken as a target temperature range.
S14, constructing an optimizing problem based on the target temperature interval, the unit temperature rise model and the crushing effect model.
In one embodiment, the dosage vector of the veterinary drug feed is known, in order to improve the product quality and the production efficiency of the veterinary drug feed, the grinding effect evaluation index is ensured to be maximum in a target temperature interval, so far, the production control process of the veterinary drug feed is converted into an optimizing problem, namely, the grinding equipment power and the grinding duration when the grinding effect evaluation index is maximum are searched on the premise that the maximum temperature in the grinding process is restrained in the target temperature interval and the power is the allowable power of the grinding equipment.
The optimizing problem comprises an objective function and a constraint condition, wherein the objective function is that the crushing effect evaluation index is maximized, the constraint condition is that the maximum temperature in the crushing process is in a target temperature interval, and the power of crushing equipment is in an allowable power range.
The objective function satisfies the relation:
wherein,for the quantity vector, +.>For the power of the comminuting device, +.>For the duration of pulverization, ->For the model of the pulverizing effect->For the value of the objective function, for characterizing the usage vector +.>Maximum value of the corresponding grinding effect evaluation index.
The constraint condition satisfies the relation:
wherein,for ambient temperature->For the unit temperature rise model, a quantity vector +.>And Power->Corresponding unit temperature rise; />For the target temperature interval,/a->And->Respectively the minimum power and the maximum allowable power of the crushing equipment.
It will be appreciated that the argument in the objective function is the power of the comminution apparatusPulverizing duration +.>。
Therefore, the production control problem of veterinary feed is converted into the optimizing problem, the mathematical modeling process is completed, the maximum temperature in the crushing process is restrained within the target temperature interval, and the crushing equipment power and the crushing duration when the crushing effect evaluation index reaches the maximum are searched on the premise that the power is the allowable power of the crushing equipment.
And S15, solving the optimizing problem to obtain target power and target crushing duration, and controlling crushing equipment to finish the crushing process based on the target power and the target crushing duration.
In an alternative embodiment, the optimizing problem is solved by utilizing an optimizing algorithm, and on the premise that the constraint condition is met, the corresponding crushing duration and the power of the crushing equipment when the crushing effect evaluation index takes the maximum value are taken as the target crushing duration and the target power. Then, the pulverizing apparatus is controlled to complete the pulverizing process based on the target power and the target pulverizing duration.
Wherein the optimizing algorithm is any existing optimizing algorithm such as a mountain climbing algorithm, an ant colony algorithm or a genetic algorithm.
Therefore, the target power and the target crushing duration are determined by solving the optimizing problem, so that the control of the crushing process in the production process of the veterinary drug feed is realized, and the product quality and the production efficiency of the veterinary drug feed are improved.
According to the production control method of the veterinary drug feed, a crushing effect model is firstly constructed, and crushing effect evaluation indexes are determined according to the consumption of each raw material, the crushing duration and the power of crushing equipment; constructing a unit temperature rise model, and determining unit temperature rise according to the consumption of each raw material and the power of the crushing equipment; further, the maximum temperature in the crushing process is calculated according to the unit temperature rise model, and the corresponding crushing duration and the power of crushing equipment when the crushing effect evaluation index reaches the maximum are solved as constraint conditions, so that the accurate control of the crushing process is realized, and the product quality and the production efficiency of veterinary feed are improved.
According to a second aspect of the present application, there is also provided a veterinary feed production control system. Fig. 2 is a block diagram of a veterinary feed production control system according to an embodiment of the present application. As shown in fig. 2, the apparatus 50 comprises a processor and a memory storing computer program instructions which, when executed by the processor, implement a method of controlling the production of veterinary feed according to the first aspect of the application. The device also includes other components, such as a communication bus and a communication interface, which are well known to those skilled in the art, and the arrangement and function of which are known in the art and therefore not described in detail herein.
In the context of this patent, the foregoing memory may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. For example, the computer readable storage medium may be any suitable magnetic or magneto-optical storage medium, such as, for example, resistance change Memory RRAM (Resistive Random Access Memory), dynamic Random Access Memory DRAM (Dynamic Random Access Memory), static Random Access Memory SRAM (Static Random-Access Memory), enhanced dynamic Random Access Memory EDRAM (Enhanced Dynamic Random Access Memory), high-Bandwidth Memory HBM (High-Bandwidth Memory), hybrid storage cube HMC (Hybrid Memory Cube), etc., or any other medium that may be used to store the desired information and that may be accessed by an application, a module, or both. Any such computer storage media may be part of, or accessible by, or connectable to, the device. Any of the applications or modules described herein may be implemented using computer-readable/executable instructions that may be stored or otherwise maintained by such computer-readable media.
The technical features of the above-described embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above-described embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.
The above examples illustrate only a few embodiments of the application, which are described in detail and are not to be construed as limiting the scope of the claims. It should be noted that it will be apparent to those skilled in the art that several variations and modifications can be made without departing from the spirit of the application, which are all within the scope of the application. Accordingly, the scope of protection of the present application is to be determined by the appended claims.
Claims (9)
1. The production control method of veterinary feed is characterized by being used for controlling a crushing device to complete the crushing process:
constructing a crushing effect model, wherein the input of the crushing effect model is a dosage vector, the crushing duration and the power of crushing equipment, and the output is a crushing effect evaluation index, the crushing effect evaluation index is used for reflecting the crushing efficiency of the crushing process and whether the size of powder particles after the crushing process is finished meets the set size, and the dosage vector comprises the dosage of each raw material;
building a unit temperature rise model, wherein the input of the unit temperature rise model is the consumption vector and the power of the crushing equipment, the output is the unit temperature rise, and the unit temperature rise is the temperature rise in unit time in the crushing process;
determining a target temperature interval according to the active temperature interval of each raw material in the veterinary drug feed;
constructing an optimizing problem based on the target temperature interval, the unit temperature rise model and the crushing effect model, wherein the optimizing problem comprises an objective function and constraint conditions, and the objective function satisfies a relation:
wherein,for the quantity vector, +.>For the power of the comminuting device, +.>For the duration of pulverization, ->For the model of the pulverizing effect->To be the instituteThe value of the objective function representing the usage vector +.>The maximum value of the corresponding crushing effect evaluation index;
the constraint condition satisfies the relation:
wherein,for ambient temperature->For the unit temperature rise model, a quantity vector +.>And Power->Corresponding unit temperature rise; />For the target temperature interval,/a->And->Respectively the minimum power and the maximum allowable power of the crushing equipment;
solving the optimizing problem to obtain target power and target crushing duration, and controlling crushing equipment to finish the crushing process based on the target power and the target crushing duration.
2. The method for controlling the production of a veterinary feed according to claim 1, wherein, before said constructing the pulverization effect model, the method further comprises:
constructing a crushing effect initial model, wherein the crushing effect initial model meets the relation:
wherein,representing the transpose of the usage vector, ">For the power of the comminuting device, < > for>For the duration of pulverization, ->Is a raw material parameter vector comprising the influencing parameters of each raw material on the comminution process,/->And->Negative and positive correlation coefficients, respectively, of the comminution duration,>is an evaluation index of the crushing effect; wherein the raw material parameter vector, the negative correlation coefficient and the positive correlation coefficient are predetermined coefficients.
3. The method for controlling the production of veterinary feeds according to claim 2, wherein the constructing a model of the pulverizing effect comprises:
in any historical crushing process, collecting a dosage vector, the power of crushing equipment and the crushing time length, and collecting a crushing effect evaluation index after the historical crushing process is finished;
storing the usage vector, the power of the crushing apparatus, the crushing duration, and the crushing effect evaluation index as a set of crushed samples in response to the crushing effect evaluation index being greater than a set index value;
fitting the initial crushing effect model on all the crushing samples by using a least square method, and determining the numerical value of the undetermined coefficient to obtain the crushing effect model.
4. A method of controlling the production of a veterinary feed as claimed in claim 3, wherein collecting the crushing effect evaluation index after the end of the history crushing process comprises:
after the historical crushing process is finished, acquiring the crushing time length and the weight of all powder particles;
screening all the powder particles by using a screen, and obtaining the weight of the residual powder particles on the screen after screening is finished, wherein the screen is provided with screen holes with set sizes, and the set sizes are equal to the maximum allowable sizes of the powder particles;
calculating a crushing effect evaluation index based on the usage vector, the weight of the remaining powder particles, the crushing duration, and the weight of all powder particles, the crushing effect evaluation index satisfying the relation:
wherein,for the duration of pulverization, ->For the weight of the remaining powder particles>For the weight of all powder particles>Is an evaluation index of the pulverizing effect.
5. The method for controlling the production of veterinary feeds according to claim 1, wherein the constructing the unit temperature rise model comprises:
constructing a unit temperature rise initial model, wherein in the unit temperature rise initial model, the unit temperature rise is positively correlated with the using amount vector and the power;
in any historical crushing process, collecting a dosage vector, the power of crushing equipment and the crushing time, and collecting the temperature rise after the historical crushing process is finished to be used as a group of temperature rise samples;
fitting the unit temperature rise initial model on all temperature rise samples by using a least square method, and determining the numerical value of the undetermined coefficient in the unit temperature rise initial model to obtain the unit temperature rise model.
6. The method for controlling the production of a veterinary feed according to claim 5, wherein the initial model per unit temperature rise satisfies the following relationship:
wherein,for a raw material temperature rise vector comprising the influencing parameters of each raw material on the temperature rise,/->For the power temperature rise parameter, < >>For the power of the comminuting device, +.>Transpose of quantity vector, +.>For the temperature rise, +.>For the duration of pulverization, ->Is a unit temperature rise, wherein->And->And the undetermined coefficient of the unit temperature rise initial model is obtained.
7. The method for controlling the production of a veterinary feed according to claim 1, wherein the target temperature range is an intersection of each raw material activity temperature range in the veterinary feed.
8. The method of claim 7, wherein solving the optimizing problem to obtain the target power and the target pulverizing time period comprises:
solving the optimizing problem by utilizing an optimizing algorithm, and taking the corresponding crushing duration and the power of the crushing equipment when the crushing effect evaluation index takes the maximum value as the target crushing duration and the target power on the premise of meeting the constraint condition.
9. A veterinary feed production control system comprising a processor and a memory, the memory storing computer program instructions which, when executed by the processor, implement a veterinary feed production control method according to any one of claims 1 to 8.
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| CN202311488989.0A CN117215277B (en) | 2023-11-09 | 2023-11-09 | Production control method and system of veterinary drug feed |
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| CN202311488989.0A CN117215277B (en) | 2023-11-09 | 2023-11-09 | Production control method and system of veterinary drug feed |
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Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
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| US20080108048A1 (en) * | 2006-10-31 | 2008-05-08 | Bartee James F | Model predictive control of fermentation temperature in biofuel production |
| CN102781251A (en) * | 2009-12-18 | 2012-11-14 | 希尔氏宠物营养品公司 | Animal feed compositions and processes for producing |
| CN116991132A (en) * | 2023-09-27 | 2023-11-03 | 广东省农业科学院动物科学研究所 | Fish embrittlement feed quality control method and system |
| CN116993527A (en) * | 2023-09-26 | 2023-11-03 | 深圳市金新农科技股份有限公司 | Live pig feed production data optimization acquisition monitoring method |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20080108048A1 (en) * | 2006-10-31 | 2008-05-08 | Bartee James F | Model predictive control of fermentation temperature in biofuel production |
| CN102781251A (en) * | 2009-12-18 | 2012-11-14 | 希尔氏宠物营养品公司 | Animal feed compositions and processes for producing |
| CN116993527A (en) * | 2023-09-26 | 2023-11-03 | 深圳市金新农科技股份有限公司 | Live pig feed production data optimization acquisition monitoring method |
| CN116991132A (en) * | 2023-09-27 | 2023-11-03 | 广东省农业科学院动物科学研究所 | Fish embrittlement feed quality control method and system |
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