CN115044429A - Data processing method and system suitable for process of brewing beer by utilizing spartina anglica polysaccharide - Google Patents

Data processing method and system suitable for process of brewing beer by utilizing spartina anglica polysaccharide Download PDF

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CN115044429A
CN115044429A CN202210977709.1A CN202210977709A CN115044429A CN 115044429 A CN115044429 A CN 115044429A CN 202210977709 A CN202210977709 A CN 202210977709A CN 115044429 A CN115044429 A CN 115044429A
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陈琳
曾尚明珠
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Jiangsu Chongpei Biotechnology Co ltd
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    • C12BIOCHEMISTRY; BEER; SPIRITS; WINE; VINEGAR; MICROBIOLOGY; ENZYMOLOGY; MUTATION OR GENETIC ENGINEERING
    • C12CBEER; PREPARATION OF BEER BY FERMENTATION; PREPARATION OF MALT FOR MAKING BEER; PREPARATION OF HOPS FOR MAKING BEER
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Abstract

The invention provides a data processing method and a data processing system suitable for a process for brewing beer by utilizing spartina anglica polysaccharide, wherein a pump speed calculation model obtains a pump speed value of a wort pump according to a pump speed value coefficient and a reference pump speed value, and controls the wort pump to carry out a rotary process in a rotary precipitation stage on wort under the pump speed value; obtaining first precipitation time of the wort according to the pump speed value of a wort pump, and after the whirling process is finished in the whirling precipitation tank, controlling the whirling precipitation tank to carry out the precipitation process in the whirling precipitation stage on the wort according to the first precipitation time; obtaining a second turbidity value of the wort when the precipitation process is finished, and finishing the precipitation process of the wort if the second turbidity value is less than or equal to a preset turbidity value; if the second turbidity value is larger than the preset turbidity value, continuing the precipitation process of the wort, wherein the total time length of the precipitation process does not exceed the preset maximum precipitation time. The scheme can reasonably arrange the pump speed and the settling time of the rotary sedimentation wheat juice pump according to different conditions.

Description

Data processing method and system suitable for process of brewing beer by utilizing spartina anglica polysaccharide
Technical Field
The invention relates to a data processing technology, in particular to a data processing method and a data processing system suitable for a process of brewing beer through utilizing spartina anglica polysaccharide.
Background
The beer culture is one of the food culture, and the development of the beer industry in various countries reflects the improvement of the national economic level and the national living level from one aspect. In recent years, with the increasing level of life and consumption of people, the pursuit of the brand and taste of the brewed beer is also increasing. The taste of the refined beer is closely related to the production mode of the refined beer, and the production level of the refined beer determines the final quality of the refined beer.
The rotary precipitation is a very important link in the production process of the concentrated beer of the spartina anglica polysaccharide. During wort boiling, due to protein denaturation and coagulation and continuous oxidation of polyphenol substances, a large amount of thermal coagula can be generated, and the thermal coagula can have adverse effects on beer color, foam property, bitterness and taste, so that the thermal coagula needs to be separated after wort boiling is finished. In the prior art, dregs such as hot coagulates, hop residues and the like are generally separated by adopting a rotary precipitation method, and the whole rotary precipitation process is completed by various data which are manually set in advance. Therefore, how to reasonably arrange the pumping speed and the settling time of the wort pump in the rotary settling according to different situations is very important.
Disclosure of Invention
The embodiment of the invention provides a data processing method and a data processing system suitable for a process of brewing beer by utilizing cordgrass polysaccharide, which can reasonably arrange the pump speed and the precipitation time of a wheat juice pump in rotary precipitation according to different conditions.
In a first aspect of the embodiments of the present invention, there is provided a data processing method suitable for a process of brewing beer with teosinte polysaccharide, comprising:
obtaining a first turbidity value, a first wort pH value, a first barley protein content and a first volume value of wort after the wort is boiled in the process of brewing the grass polysaccharide refined beer, and determining the first hop adding amount according to the first volume value of the wort;
calculating a pump speed value calculation model according to the first barley protein content, the first turbidity value, the first wort pH value and the first hop addition amount to obtain a pump speed value coefficient of the wort pump in a rotary precipitation stage, wherein the pump speed value calculation model comprises a protein calculation unit, a turbidity calculation unit, a pH value calculation unit and a hop addition amount calculation unit;
the pump speed calculation model obtains a pump speed value of the wheat juice pump according to the pump speed value coefficient and the reference pump speed value, and controls the wheat juice pump to carry out a convolution process in a convolution precipitation stage on the wheat juice under the pump speed value;
obtaining a first precipitation time of the wort according to the pump speed value of the wort pump, and after the whirling process is finished in the whirling precipitation tank, controlling the whirling precipitation tank to carry out the precipitation process in the whirling precipitation stage on the wort according to the first precipitation time;
obtaining a second turbidity value of the wort when the precipitation process is finished, and finishing the precipitation process of the wort if the second turbidity value is less than or equal to a preset turbidity value;
and if the second turbidity value is larger than the preset turbidity value, continuing the precipitation process of the wort, wherein the total time length of the precipitation process does not exceed the preset maximum precipitation time.
Optionally, in a possible implementation manner of the first aspect, the pump speed value calculation model calculates according to the first barley protein content, the first turbidity value, the first wort pH value and the first hop addition amount to obtain a pump speed value coefficient of the wort pump in the backspin precipitation stage, and the pump speed value calculation model includes a protein calculation unit, a turbidity calculation unit, a pH value calculation unit and a hop addition amount calculation unit, and includes:
the pump speed value calculation model obtains a preset second barley protein content, a preset third turbidity value, a preset second wort pH value and a preset second hop adding amount;
the protein calculation unit obtains a protein offset coefficient according to the protein content of the first barley and the protein content of the second barley;
the turbidity calculation unit obtains a turbidity value offset coefficient according to the first turbidity value and the third turbidity value;
the pH value calculating unit obtains a pH value deviation coefficient according to the pH value of the first wort and the pH value of the second wort;
the hop addition amount calculation unit obtains a hop addition amount offset coefficient according to the first hop addition amount and the second hop addition amount;
and obtaining the pumping speed value coefficient of the wheat juice pump in the rotary precipitation stage according to the protein deviation coefficient, the turbidity value deviation coefficient, the pH value deviation coefficient and the hop addition quantity deviation coefficient.
Optionally, in a possible implementation manner of the first aspect, the obtaining a pump speed value coefficient of the wort pump in the backspin precipitation stage according to the protein shift coefficient, the turbidity value shift coefficient, the pH value shift coefficient and the hop addition amount shift coefficient comprises:
calculating protein offset coefficient, turbidity value offset coefficient, pH value offset coefficient and hop addition amount offset coefficient by the following formula,
Figure 335079DEST_PATH_IMAGE001
Figure 816002DEST_PATH_IMAGE002
wherein the content of the first and second substances,
Figure 658056DEST_PATH_IMAGE003
as a function of the protein offset coefficient,
Figure 115582DEST_PATH_IMAGE004
is the protein content of the first barley, and is,
Figure 992271DEST_PATH_IMAGE005
is the protein content of the second barley, and is,
Figure 110006DEST_PATH_IMAGE006
is a weight value of the protein bias coefficient,
Figure 439356DEST_PATH_IMAGE007
in order to shift the coefficient for the turbidity value,
Figure 700573DEST_PATH_IMAGE008
is a first turbidity value of the sample to be measured,
Figure 228507DEST_PATH_IMAGE009
in order to be the third turbidity value,
Figure 520073DEST_PATH_IMAGE010
is a weight value of the turbidity value offset coefficient,
Figure 336719DEST_PATH_IMAGE011
is the coefficient of pH value deviation, and is,
Figure 932786DEST_PATH_IMAGE012
the pH value of the first wort is the pH value,
Figure 751444DEST_PATH_IMAGE013
the pH value of the second wort is the pH value,
Figure 243605DEST_PATH_IMAGE014
is the weight value of the pH value offset coefficient,
Figure 344285DEST_PATH_IMAGE015
is the offset coefficient of the added amount of the hops,
Figure 681726DEST_PATH_IMAGE016
is the first hop addition amount,
Figure 623399DEST_PATH_IMAGE017
is the added amount of the second hop,
Figure 817620DEST_PATH_IMAGE018
the weight value is the weight value of the offset coefficient of the added amount of the hops;
and sequentially adding the protein offset coefficient, the turbidity value offset coefficient, the pH value offset coefficient and the hop addition amount offset coefficient to obtain a pump speed value coefficient.
Optionally, in a possible implementation manner of the first aspect, the pump speed calculation model obtains a pump speed value of the wort pump according to the pump speed value coefficient and a reference pump speed value, and controls the wort pump to perform a whirling process in a whirling precipitation stage on wort at the pump speed value, including:
the pumping speed value of the wheat juice pump is calculated by the following formula,
Figure 608858DEST_PATH_IMAGE019
wherein the content of the first and second substances,
Figure 982946DEST_PATH_IMAGE020
is the pump speed value of the wheat juice pump,
Figure 339978DEST_PATH_IMAGE021
is the second of protein offset coefficient, turbidity value offset coefficient, pH value offset coefficient and hop addition offset coefficient
Figure 173941DEST_PATH_IMAGE022
The number of the offset coefficients is such that,
Figure 186897DEST_PATH_IMAGE023
is a coefficient of the pump speed value,
Figure 633184DEST_PATH_IMAGE024
is a constant number of times, and is,
Figure 782406DEST_PATH_IMAGE025
is a weighted value of the pump speed value coefficient,
Figure 787271DEST_PATH_IMAGE026
is a reference pump speed value;
controlling the wort pump to carry out the whirling process in the whirling precipitation stage on the wort at the pump speed value.
Optionally, in a possible implementation manner of the first aspect, the obtaining a first precipitation time of the wort according to the pump speed value of the wort pump, and after the whirling process is finished in the whirling precipitation tank, controlling the whirling precipitation tank to perform the precipitation process in the whirling precipitation stage on the wort according to the first precipitation time includes:
generating a pump speed value deviation coefficient according to the pump speed value of the wort pump and a reference pump speed value, and obtaining first precipitation time of wort according to the pump speed value deviation coefficient and the reference precipitation time;
the first settling time of the wort was calculated using the following formula,
Figure 418732DEST_PATH_IMAGE027
wherein the content of the first and second substances,
Figure 901666DEST_PATH_IMAGE028
the first precipitation time of the wort is,
Figure 170974DEST_PATH_IMAGE029
in order to shift the coefficient for the pump speed value,
Figure 143478DEST_PATH_IMAGE030
the precipitation time is taken as a reference for precipitation time,
Figure 632490DEST_PATH_IMAGE031
a weight value of the first precipitation time;
and after the whirling process is finished in the whirling precipitation tank, controlling the whirling precipitation tank to carry out the precipitation process in the whirling precipitation stage on the wort according to the first precipitation time.
Optionally, in a possible implementation manner of the first aspect, a preset weight interval of the precipitate corresponding to the first volume value of the wort is obtained, and a minimum value of the preset weight interval is taken as a first precipitate weight of the precipitate;
obtaining a second precipitation weight of precipitates in the wort after the rotary precipitation stage, and taking a first volume value of the wort corresponding to the second precipitation weight as a target volume value if the second precipitation weight is less than the first precipitation weight;
when the next target volume value under the same condition appears, acquiring a weight value of first settling time corresponding to the target volume value, and taking the weight value of the first settling time as a first time weight value;
and correcting the first time weight value according to the first sediment weight and the second sediment weight to obtain a second time weight value, and adjusting the first sediment time according to the second time weight value to obtain a second sediment time.
Optionally, in a possible implementation manner of the first aspect, the modifying the first time weight value according to the first deposit weight and the second deposit weight to obtain a second time weight value includes:
calculating the difference between the first sediment weight and the second sediment weight, weighting the difference to obtain a second time weight value, calculating the second time weight value by using the following formula,
Figure 919115DEST_PATH_IMAGE032
wherein the content of the first and second substances,
Figure 777350DEST_PATH_IMAGE033
is the weight value of the second time, and,
Figure 419290DEST_PATH_IMAGE034
is a first time weight value and is,
Figure 425292DEST_PATH_IMAGE035
in order to be the first weight of the precipitate,
Figure 515608DEST_PATH_IMAGE036
in order to obtain the second weight of precipitate,
Figure 493928DEST_PATH_IMAGE037
to increase the correction weight value.
In a second aspect of the embodiments of the present invention, there is provided a data processing system suitable for use in a process for brewing a beer from a teosinte polysaccharide, comprising:
the system comprises an acquisition module, a storage module and a processing module, wherein the acquisition module is used for acquiring a first turbidity value, a first wort pH value, a first barley protein content and a first volume value of wort after the wort is subjected to a boiling stage in the process of brewing the grass polysaccharide refined beer, and determining a first hop adding amount according to the first volume value of the wort;
the calculating module is used for calculating a pump speed value calculating model according to the first barley protein content, the first turbidity value, the first wort pH value and the first hop adding amount to obtain a pump speed value coefficient of the wort pump in a backspin precipitation stage, and the pump speed value calculating model comprises a protein calculating unit, a turbidity calculating unit, a pH value calculating unit and a hop adding amount calculating unit;
the convolution module is used for obtaining a pump speed value of the wheat juice pump by the pump speed calculation model according to the pump speed value coefficient and the reference pump speed value, and controlling the wheat juice pump to carry out convolution process in a convolution precipitation stage on the wheat juice under the pump speed value;
the precipitation module is used for obtaining first precipitation time of the wort according to the pump speed value of the wort pump, and controlling the rotary precipitation tank to carry out a precipitation process in a rotary precipitation stage on the wort according to the first precipitation time after the rotary precipitation tank finishes the rotary process;
the first judgment module is used for acquiring a second turbidity value of the wort when the precipitation process is finished, and finishing the precipitation process of the wort if the second turbidity value is less than or equal to a preset turbidity value;
and the second judgment module is used for continuing the precipitation process of the wort if the second turbidity value is greater than the preset turbidity value, wherein the total time length of the precipitation process does not exceed the preset maximum precipitation time.
In a third aspect of the embodiments of the present invention, there is provided an electronic device, including: memory, a processor and a computer program, the computer program being stored in the memory, the processor running the computer program to perform the method of the first aspect of the invention and the various possible references to the first aspect.
A fourth aspect of the embodiments of the present invention provides a readable storage medium, in which a computer program is stored, and the computer program is used for implementing the first aspect of the present invention and various possible related methods of the first aspect when executed by a processor.
The invention has the following beneficial effects:
1. according to the data processing method and the data processing system suitable for the process of brewing the beer by the cordgrass polysaccharide, the pump speed and the precipitation time of the wort pump in the rotary precipitation can be reasonably arranged according to different conditions, so that the whole rotary precipitation process is more sufficient, the separation effect of the rotary precipitation is greatly improved, dregs can be discharged more cleanly, and the good taste is ensured when the yeast is fermented and recovered. In addition, in order to prevent the calculated precipitation time from being inaccurate, the invention can further adjust the precipitation time, so that the wort can be fully precipitated in the precipitation time.
2. The present invention considers data on relevant factors of multiple dimensions, including the first barley protein content, the first turbidity value, the first wort pH and the first hop addition, and calculates these data to obtain a reasonable pump speed value and settling time. The reasonable pump speed value and the reasonable sedimentation time under different volumes can be determined through the calculation mode, and different pump speed values and sedimentation times can be calculated according to different practical conditions, so that the calculated result is more consistent with the practical application scene of the invention.
3. The method can collect the weight change of the sediment in the wort after each whirling precipitation is finished, and can correct the first precipitation time in a deep learning mode if the weight of the sediment does not meet the requirement, so that a model for calculating the precipitation time can be continuously subjected to iterative training, and the precipitation time of the wort can be adjusted. Through this kind of mode, can prevent that the wort from precipitating insufficient problem appearance in the settling time, make the settling time after the adjustment more accurate, guarantee that the wort can fully precipitate in the settling time.
Drawings
FIG. 1 is a schematic flow chart of a data processing method suitable for a process for brewing the beer through the millets polysaccharide;
FIG. 2 is a schematic diagram of a data processing system suitable for a process of brewing beer from the cordgrass polysaccharide according to an embodiment of the present invention;
fig. 3 is a schematic diagram of a hardware structure of an electronic device according to an embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, which is a schematic flow chart of a data processing method suitable for a process of brewing the grass polysaccharide refined beer according to an embodiment of the present invention, an execution subject of the method shown in fig. 1 may be a software and/or hardware device. The execution subject of the present application may include, but is not limited to, at least one of: user equipment, network equipment, etc. The user equipment may include, but is not limited to, a computer, a smart phone, a Personal Digital Assistant (PDA), the above mentioned electronic equipment, and the like. The network device may include, but is not limited to, a single network server, a server group of multiple network servers, or a cloud of numerous computers or network servers based on cloud computing, wherein cloud computing is one type of distributed computing, a super virtual computer consisting of a cluster of loosely coupled computers. The present embodiment does not limit this. The method comprises steps S1 to S6, and specifically comprises the following steps:
s1, obtaining a first turbidity value, a first wort pH value, a first barley protein content and a first volume value of wort after the wort is boiled in the process of brewing the grass polysaccharide refined beer, and determining the first hop adding amount according to the first volume value of the wort.
The first turbidity value refers to the turbidity of the wort after the wort boiling stage in the process of the concentrated brewing of the milgrass polysaccharide, the first pH value refers to the pH value of the wort after the wort boiling stage in the process of the concentrated brewing of the milgrass polysaccharide, the first protein content of the barley refers to the protein content of the wort after the wort boiling stage in the process of the concentrated brewing of the milgrass polysaccharide, the first volume value of the wort refers to the volume value of the wort obtained in the process of the concentrated brewing of the milgrass polysaccharide, and the first hop adding amount refers to the hop amount added into the wort determined according to the first volume value.
It will be appreciated that the amount of hops added is generally related to the volume of wort, and therefore the first hop addition can be determined using a first value for the volume of wort.
In practice, the first turbidity value can be obtained using a turbidity sensor, the first wort pH can be obtained using a pH sensor, and the first barley protein content can be obtained using a protein sensor. The above data may also be obtained in other manners, and this scheme is not limited thereto.
In addition, during the wort boiling process, due to the denaturation and solidification of protein and the continuous oxidation of polyphenol substances, a large amount of hot coagula can be generated, dregs such as the hot coagula and hop residues can make the wort turbid, the subsequent fermentation process of the wort can be influenced, and the taste of the produced rice straw polysaccharide refined beer is not good.
Therefore, in order to separate dregs such as the hot coagulum and the hop residues better, the first turbidity value, the first wort pH value, the first barley protein content and the hop addition amount are obtained, and the subsequent operation is carried out to improve the separation of dregs such as the hot coagulum and the hop residues, thereby improving the taste of the rice grass polysaccharide brewed beer.
S2, calculating by a pump speed value calculation model according to the first barley protein content, the first turbidity value, the first wort pH value and the first hop addition amount to obtain a pump speed value coefficient of the wort pump in the backspin precipitation stage, wherein the pump speed value calculation model comprises a protein calculation unit, a turbidity calculation unit, a pH value calculation unit and a hop addition amount calculation unit.
Wherein, the pump speed value calculation model refers to a calculation model for calculating the pump speed value of the wheat juice pump; the pump speed value coefficient refers to the coefficient for adjusting the pump speed value of the wheat juice pump; the protein calculation unit is a unit for calculating the protein content in the pump speed value calculation model to obtain a protein offset coefficient; the turbidity calculation unit is a unit for calculating the turbidity of the wort in a pump speed value calculation model to obtain a turbidity value deviation coefficient; the pH value calculating unit is a unit for calculating the pH value of the wort in a pump speed value calculating model to obtain a pH value deviation coefficient; the hop addition amount calculation unit is a unit for calculating the hop addition amount in the pump speed value calculation model to obtain the hop addition amount offset coefficient.
Specifically, after obtaining the first barley protein content, the first turbidity value, the first wort pH value and the first hop addition amount, the pump speed value calculation model may calculate them to obtain a pump speed value coefficient for subsequently adjusting the pump speed value of the wort pump.
In some embodiments, the pump speed value coefficient may be obtained through steps S201 to S206, which are as follows:
s201, obtaining the preset second barley protein content, the preset third turbidity value, the preset second wort pH value and the preset second hop adding amount by using a pump speed value calculation model.
Wherein the second barley protein content refers to the preset barley juice protein content of the barley juice after the barley juice is boiled in the process of finely brewing the beer by the rice grass polysaccharide, the third turbidity value refers to the preset barley juice turbidity of the barley juice after the barley juice is boiled in the process of finely brewing the beer by the rice grass polysaccharide, the pH value of the second barley juice refers to the preset barley juice pH value of the barley juice after the barley juice is boiled in the process of finely brewing the beer by the rice grass polysaccharide, and the second hop adding amount refers to the preset hop amount added into the barley juice. The data can be preset by the staff.
The second barley protein content, the third turbidity value, the second wort pH value, and the second hop addition amount may be set in advance according to conditions such as the kind of malt and the volume of wort, and the third turbidity value may be set in advance according to conditions such as the degree of solubility of malt.
It can be understood that, since the actual situation may change, the present solution may make the calculated result more suitable for the actual application scenario through various data preset under the same condition and various data actually obtained.
The same conditions here mean that the same raw materials and processes are used for producing the wormseed beer of the cord grass polysaccharide, such as malt and drinking water.
S202, the protein calculating unit obtains a protein deviation coefficient according to the protein content of the first barley and the protein content of the second barley.
In practical applications, since the protein content of the first barley is different from the protein content of the second barley, which is set in advance, due to various factors, the protein deviation coefficient can be obtained by the protein content of the first barley and the protein content of the second barley.
S203, the turbidity calculation unit obtains a turbidity value offset coefficient according to the first turbidity value and the third turbidity value.
In practical application, the actually obtained first turbidity value is different from the preset third turbidity value due to the influence of various factors, and the turbidity value offset coefficient can be obtained through the first turbidity value and the third turbidity value.
And S204, the pH value calculating unit obtains a pH value deviation coefficient according to the pH value of the first wort and the pH value of the second wort.
In practical application, the first wort pH value obtained in practice is different from the second wort pH value set in advance because of being influenced by various factors, and the pH value deviation coefficient can be obtained through the first wort pH value and the second wort pH value.
S205, the hop addition amount calculation unit obtains the hop addition amount offset coefficient according to the first hop addition amount and the second hop addition amount.
In practical applications, the first hop addition amount actually obtained is different from the second hop addition amount set in advance because of being influenced by various factors, and the hop addition amount bias coefficient can be obtained by the first hop addition amount and the second hop addition amount.
S206, obtaining a pump speed value coefficient of the wheat juice pump in the rotary precipitation stage according to the protein offset coefficient, the turbidity value offset coefficient, the pH value offset coefficient and the hop addition amount offset coefficient.
Specifically, the protein offset coefficient, turbidity value offset coefficient, pH value offset coefficient and hop addition amount offset coefficient can be calculated by the following formulas,
Figure 247383DEST_PATH_IMAGE001
Figure 6260DEST_PATH_IMAGE002
wherein the content of the first and second substances,
Figure 634688DEST_PATH_IMAGE003
as a function of the protein offset coefficient,
Figure 231629DEST_PATH_IMAGE004
is the protein content of the first barley, and is,
Figure 654520DEST_PATH_IMAGE005
is the protein content of the second barley, and is,
Figure 900694DEST_PATH_IMAGE006
is a weight value of the protein bias coefficient,
Figure 67233DEST_PATH_IMAGE007
in order to shift the coefficient for the turbidity value,
Figure 521610DEST_PATH_IMAGE008
is a first turbidity value of the sample to be measured,
Figure 177719DEST_PATH_IMAGE009
in order to be the third turbidity value,
Figure 848872DEST_PATH_IMAGE010
is a weight value of the turbidity value offset coefficient,
Figure 583217DEST_PATH_IMAGE011
is the coefficient of pH value deviation, and is,
Figure 656215DEST_PATH_IMAGE012
the pH value of the first wort is the pH value,
Figure 420909DEST_PATH_IMAGE013
the pH value of the second wort is the pH value,
Figure 110516DEST_PATH_IMAGE014
is the weight value of the pH value offset coefficient,
Figure 385902DEST_PATH_IMAGE015
is the offset coefficient of the added amount of the hop,
Figure 110144DEST_PATH_IMAGE016
is the first hop addition amount,
Figure 311318DEST_PATH_IMAGE017
is the added amount of the second hop,
Figure 160326DEST_PATH_IMAGE018
is the weight value of the offset coefficient of the hop addition amount.
As can be seen from the above-mentioned formula,
Figure 502052DEST_PATH_IMAGE038
the larger the size, the protein content of the first barley is indicated
Figure 346380DEST_PATH_IMAGE004
The larger the amount of the protein, the more the amount of the precipitate and the lees such as hop residue are precipitated, and the protein offset coefficient
Figure 452876DEST_PATH_IMAGE003
The larger will be; on the contrary, in the case of a single-layer structure,
Figure 87382DEST_PATH_IMAGE038
the smaller, the first barley protein content is indicated
Figure 203106DEST_PATH_IMAGE004
The smaller the amount of the protein, the less the amount of the precipitate and the lees such as hop residue are precipitated, and the protein drift coefficient is
Figure 105203DEST_PATH_IMAGE003
The smaller will be.
In addition, when
Figure 943452DEST_PATH_IMAGE038
The larger the numerical value is, the weight value of the protein offset coefficient at that time
Figure 298210DEST_PATH_IMAGE006
The smaller the ratio, the more the weight of the protein offset coefficient
Figure 217625DEST_PATH_IMAGE006
Coefficient of shift for protein
Figure 974228DEST_PATH_IMAGE003
Performing size-adjusting treatment to prevent diseases
Figure 189571DEST_PATH_IMAGE038
Too large a value causes errors; when in use
Figure 297204DEST_PATH_IMAGE038
The smaller the value, the weighted value of the protein bias coefficient at that time
Figure 489151DEST_PATH_IMAGE006
The larger the ratio will be, the more the weight value of the protein offset coefficient can be used in this way
Figure 100261DEST_PATH_IMAGE006
Coefficient of shift for protein
Figure 545893DEST_PATH_IMAGE003
Performing enlargement treatment to prevent diseases
Figure 875243DEST_PATH_IMAGE038
Too small a value causes an error. The adjustment method is a small-amplitude adjustment.
Figure 136460DEST_PATH_IMAGE039
The larger the value, the first turbidity value is indicated
Figure 336497DEST_PATH_IMAGE008
The larger the turbidity value of the wort after the boiling stage, the more the precipitation amount of the hot coagulated product and the lees such as hop residue, and the shift coefficient of the turbidity value
Figure 955959DEST_PATH_IMAGE007
The larger will be; on the contrary, in the case of a single-layer structure,
Figure 507026DEST_PATH_IMAGE039
the smaller the first turbidity value
Figure 306355DEST_PATH_IMAGE008
The smaller the turbidity value of the wort after the boiling stage, the less the precipitation amount of the hot coagulated product and the lees such as hop residue, and the shift coefficient of the turbidity value
Figure 390593DEST_PATH_IMAGE007
The smaller will be.
In addition, when
Figure 679491DEST_PATH_IMAGE039
When the numerical value is larger, the weight value of the turbidity value offset coefficient at the moment
Figure 452275DEST_PATH_IMAGE010
The smaller the probability will be, the way this can be shifted by the weighting value of the turbidity value shift coefficient
Figure 353498DEST_PATH_IMAGE010
Shift coefficient to turbidity value
Figure 793706DEST_PATH_IMAGE007
Performing a reduction treatment to prevent the disease
Figure 191189DEST_PATH_IMAGE039
Too large a value causes errors; when in use
Figure 982428DEST_PATH_IMAGE039
The smaller the value is, the weight value of the turbidity value shift coefficient at that time
Figure 442270DEST_PATH_IMAGE010
The larger the value will be, the more the way this can be by shifting the weight value of the coefficient by the turbidity value
Figure 2564DEST_PATH_IMAGE010
Shift coefficient to turbidity value
Figure 570948DEST_PATH_IMAGE007
Performing enlargement treatment to prevent diseases
Figure 583904DEST_PATH_IMAGE039
Too small a value causes an error. The adjustment method is a small-amplitude adjustment.
Figure 826929DEST_PATH_IMAGE040
The larger the pH value, the pH value of the first wort is
Figure 976150DEST_PATH_IMAGE012
The larger the pH value of the wort is, the higher the pH value of the wort after the boiling stage is, the less the amount of thermal coagulation and lees such as hop residue are precipitated, and the pH value shift coefficient is
Figure 981015DEST_PATH_IMAGE011
The smaller will be; on the contrary, in the case of a single-layer structure,
Figure 776540DEST_PATH_IMAGE040
the lower the pH value of the first wort is
Figure 259474DEST_PATH_IMAGE012
The smaller the pH value of wort after boiling, the more the precipitation amount of thermal coagulation product and lees such as hop residue, and the pH shift coefficient
Figure 794360DEST_PATH_IMAGE011
The larger will be.
In addition, when
Figure 438968DEST_PATH_IMAGE040
The larger the value, the weight value of the pH value shift coefficient at that time
Figure 724718DEST_PATH_IMAGE014
The smaller the pH shift coefficient is, the more the pH shift coefficient is weighted
Figure 745764DEST_PATH_IMAGE041
Coefficient of shift to pH
Figure 931894DEST_PATH_IMAGE011
Performing a reduction treatment to prevent the disease
Figure 511518DEST_PATH_IMAGE040
Too large a value causes errors; when in use
Figure 986362DEST_PATH_IMAGE040
The smaller the value, the weighted value of the pH value shift coefficient at that time
Figure 607836DEST_PATH_IMAGE014
The larger the pH value is, the more the pH value can be weighted
Figure 353200DEST_PATH_IMAGE041
Coefficient of shift to pH
Figure 605190DEST_PATH_IMAGE011
Performing enlargement treatment to prevent diseases
Figure 364068DEST_PATH_IMAGE040
Too small a value causes an error. The adjustment method is a small-amplitude adjustment.
Figure 726916DEST_PATH_IMAGE042
The first hop addition is indicated as larger
Figure 323857DEST_PATH_IMAGE016
The larger the amount of the precipitate and the more lees such as hop residue, the more the amount of hop is added
Figure 12327DEST_PATH_IMAGE015
The larger will be; on the contrary, in the case of a single-layer structure,
Figure 461763DEST_PATH_IMAGE042
the smaller the amount of the first hop added
Figure 926505DEST_PATH_IMAGE016
The smaller the amount of the precipitate and the smaller the amount of lees such as hop residue, the more the amount of hop added is shifted
Figure 144997DEST_PATH_IMAGE015
The smaller will be.
In addition, when
Figure 738789DEST_PATH_IMAGE042
The weight value of the offset coefficient of the added amount of hops at that time is larger as the numerical value is larger
Figure 675521DEST_PATH_IMAGE018
The smaller the ratio of the weight of the hop addition amount to the weight of the offset coefficient
Figure 941024DEST_PATH_IMAGE018
Coefficient of bias for hop addition
Figure 14022DEST_PATH_IMAGE015
Performing a reduction treatment to prevent the disease
Figure 44295DEST_PATH_IMAGE042
Too large a value causes errors; when in use
Figure 937165DEST_PATH_IMAGE042
The smaller the value is, the weight value of the offset coefficient of the added amount of hops at that time
Figure 743709DEST_PATH_IMAGE018
The larger the hop addition amount is, the higher the weight value of the offset coefficient of the hop addition amount can be
Figure 936793DEST_PATH_IMAGE018
Coefficient of bias for hop addition
Figure 137967DEST_PATH_IMAGE015
Performing enlargement treatment to prevent diseases
Figure 16668DEST_PATH_IMAGE042
Too small a value causes an error. The adjustment method is a small-amplitude adjustment.
And sequentially adding the protein offset coefficient, the turbidity value offset coefficient, the pH value offset coefficient and the hop addition amount offset coefficient to obtain a pump speed value coefficient.
After obtaining the protein offset coefficient, turbidity value offset coefficient, pH value offset coefficient and hop addition amount offset coefficient, the above-mentioned pump speed value coefficient can be obtained by sequentially adding them.
The pump speed value coefficient can be obtained according to data under various actual conditions in the mode, so that the calculated pump speed value coefficient can better accord with the actual application scene of the scheme.
And S3, the pump speed calculation model obtains the pump speed value of the wheat juice pump according to the pump speed value coefficient and the reference pump speed value, and the wheat juice pump is controlled to carry out the convolution process in the convolution precipitation stage on the wheat juice under the pump speed value.
The reference pump speed value is in one-to-one correspondence with the second barley protein content, the third turbidity value, the second wort pH value, and the second hop addition amount, and is a pump speed value set according to the second barley protein content, the third turbidity value, the second wort pH value, and the second hop addition amount.
In some embodiments, the pump speed value of the wort pump may be calculated using the following formula,
Figure DEST_PATH_IMAGE044AA
wherein the content of the first and second substances,
Figure DEST_PATH_IMAGE046A
is the pump speed value of the wheat juice pump,
Figure DEST_PATH_IMAGE048A
is the second of protein offset coefficient, turbidity value offset coefficient, pH value offset coefficient and hop addition offset coefficient
Figure DEST_PATH_IMAGE050A
The number of the offset coefficients is such that,
Figure 358394DEST_PATH_IMAGE052
is a coefficient of the pump speed value,
Figure 202722DEST_PATH_IMAGE054
is a constant number of times, and is,
Figure 810683DEST_PATH_IMAGE056
is a weighted value of the pump speed value coefficient,
Figure 943724DEST_PATH_IMAGE058
is the baseline pump speed value.
The main concept of the above formula is:
coefficient of pump speed
Figure DEST_PATH_IMAGE060A
The larger the amount of the thermal coagulation product in the wort, the more the lees such as hop residue and the like, and therefore, the pump speed of the wort pump is set so that the thermal coagulation product in the wort and lees such as hop residue and the like can be separated more effectively
Figure DEST_PATH_IMAGE046AA
The larger will be.
It is understood that the protein offset coefficient, turbidity value offset coefficient, pH value offset coefficient and hop addition amount offset coefficient may be more than 0 or less than 0 after being added in sequence, so the present scheme will be discussed in different cases when the protein offset coefficient, turbidity value offset coefficient, pH value offset coefficient and hop addition amount offset coefficient are added in sequence
Figure 603988DEST_PATH_IMAGE062
At this time, it is indicated that the precipitation amount of the hot coagulated product and the precipitation amount of the lees such as hop residue in the wort do not reach the preset values, and the wort pump may be operated at the reference pump speed value without adding the pump speed value of the barley pump.
Controlling the wort pump to carry out the whirling process in the whirling precipitation stage on the wort at the pump speed value.
After the pump speed value is calculated, the whirling process of the wort pump in the whirling precipitation stage can be controlled under the pump speed value.
The pump speed value calculated by the formula can be adjusted differently according to actual conditions, so that dregs such as hot coagulates and hop residues in the wort can be better separated, and the phenomenon that the separation effect of dregs such as the hot coagulates and the hop residues is poor due to the unreasonable pump speed value of the wort pump is prevented.
S4, obtaining a first precipitation time of the wort according to the pumping speed value of the wort pump, and controlling the rotary precipitation tank to carry out the precipitation process in the rotary precipitation stage on the wort according to the first precipitation time after the rotary precipitation tank finishes the rotary process.
It is understood that the main function of the rotary sedimentation tank is to separate dregs such as hot coagula and hop residue in the wort to obtain clear wort. Therefore, after the whirling process is completed, the wort is precipitated to separate dregs such as hot coagula and hop residue in the wort, and clear wort can be obtained. Wherein, the first precipitation time refers to the required precipitation time after the wort is subjected to the whirling process.
In some embodiments, the first settling time may be obtained through steps S401 to S403, and is as follows:
s401, generating a pump speed value deviation coefficient according to the pump speed value and the reference pump speed value of the wort pump, and obtaining first settling time of wort according to the pump speed value deviation coefficient and the reference settling time.
The reference settling time corresponds to the reference pump speed value, and is set according to the reference pump speed value.
S402, calculating the first precipitation time of the wort by using the following formula,
Figure DEST_PATH_IMAGE064A
wherein the content of the first and second substances,
Figure DEST_PATH_IMAGE066A
the first precipitation time of the wort is,
Figure DEST_PATH_IMAGE068A
in order to shift the coefficient for the pump speed value,
Figure DEST_PATH_IMAGE070A
the precipitation time is taken as a reference for precipitation time,
Figure DEST_PATH_IMAGE072A
is the weighted value of the first settling time.
The main concept of the above formula is:
pump speed value offset factor
Figure DEST_PATH_IMAGE068AA
The larger the size, the more the wort is indicatedThe more the precipitate and the dregs such as hop residue are, the first precipitation time of wort is for better separation of the hot precipitate and the dregs such as hop residue in wort
Figure DEST_PATH_IMAGE066AA
The larger will be.
And S403, after the whirling process is finished in the whirling precipitation tank, controlling the whirling precipitation tank to carry out the precipitation process in the whirling precipitation stage on the wort according to the first precipitation time.
After the first precipitation time is calculated, the whirling precipitation tank can be controlled to carry out the precipitation process in the whirling precipitation stage on the wort within the first precipitation time after the whirling process is finished.
The first precipitation time obtained through the formula can be used for precipitating and separating dregs such as the precipitation amount of the hot coagulates and the hop residues in the wort according to different actual conditions, so that the problem of taste when subsequent fermentation and yeast recovery are influenced due to the poor separation effect of the dregs such as the precipitation amount of the hot coagulates and the hop residues in the wort caused by overlong or overlong precipitation time is prevented.
And S5, acquiring a second turbidity value of the wort when the precipitation process is finished, and finishing the precipitation process of the wort if the second turbidity value is less than or equal to the preset turbidity value.
Wherein the second turbidity value refers to the turbidity value of the wort after the precipitation process of the wort in the process of brewing the beer by the spartina anglica polysaccharide, and the preset turbidity value refers to the preset turbidity value of the wort after the precipitation process of the wort in the process of brewing the beer by the spartina anglica polysaccharide.
In practical application, if the second turbidity value is less than or equal to the preset turbidity value, the turbidity value of the wort is smaller than the turbidity value of the wort required to be achieved, or equal to the turbidity value of the wort required to be achieved, the precipitation amount of the hot coagula in the wort and dregs such as hop dregs are completely separated, and therefore the precipitation process of the wort can be finished.
S6, if the second turbidity value is larger than the preset turbidity value, continuing the precipitation process of the wort, wherein the total time length of the precipitation process does not exceed the preset maximum precipitation time.
In practical applications, if the second turbidity value is greater than the preset turbidity value, it is indicated that the wort turbidity value is greater than the required wort turbidity value, and the precipitation amount of the hot coagulated product in the wort and the dregs such as hop residue are not completely separated, so that the wort is required to be continuously precipitated.
It should also be noted that the precipitation time is not too long, otherwise off-flavours tend to occur, and therefore the total length of the precipitation process may not exceed the preset maximum precipitation time. Wherein, the preset maximum precipitation time refers to the longest length of the precipitation process which is preset.
In some embodiments, in order to make the calculated first settling time more suitable for the actual application scenario, the present solution further provides steps S601 to S604 to adjust the calculated first settling time.
S601, acquiring a preset weight interval of the sediment corresponding to the first volume value of the wort, and taking the minimum value of the preset weight interval as the first sediment weight of the sediment.
In practical applications, the thermal coagulum is a coagulum that solidifies out at a higher temperature. Above 60 ℃, the thermal concretion can be separated out continuously, and the thermal concretion can not be separated out below 60 ℃. The precipitation amount is about 0.3% to 0.7% of the wort amount.
Therefore, the weight of the dregs (i.e. the precipitate) separated from the wort after the whirling precipitation is in a certain corresponding relationship with the volume of the wort.
Wherein, the preset weight interval refers to the precipitate weight interval corresponding to the first volume value; the first sediment weight refers to the smallest weight value in the sediment weight interval.
S602, obtaining a second precipitation weight of the precipitate in the wort after the whirling precipitation stage, and if the second precipitation weight is less than the first precipitation weight, taking a first volume value of the wort corresponding to the second precipitation weight as a target volume value.
Wherein the second precipitation weight refers to the weight of the precipitate separated from the wort after the rotary precipitation stage; the target volume value refers to the volume value corresponding to the first settling time that needs to be adjusted.
It can be understood that if the second deposition weight is smaller than the first deposition weight, it indicates that the second deposition weight does not reach the deposition weight interval corresponding to the first volume value, and it is likely that the deposition is not completely deposited, so the first deposition time can be adjusted to make the wort deposition more sufficient.
S603, when the next target volume value under the same condition appears, acquiring a weight value of first settling time corresponding to the target volume value, and taking the weight value of the first settling time as a first time weight value.
Specifically, when the next target volume value appears under the same conditions of the manufacturing process, the manufacturing raw materials and the like, the weight value of the first settling time corresponding to the target volume value is used as the first time weight value. Wherein the first time weight value refers to a weight value of the first settling time.
For example, when the target volume value is 20m 2 Under the same conditions, the volume of wort at the next time is 20m 2 Then, the weight value of the first sedimentation time corresponding to the target volume value may be used as the first time weight value.
In addition, since the environmental factors are relatively fixed and the changes are slight, the scheme does not take the environmental factors into consideration.
S604, correcting the first time weight value according to the first deposition weight and the second deposition weight to obtain a second time weight value, and adjusting the first deposition time according to the second time weight value to obtain a second deposition time.
In practical application, in order to make the calculated first settling time more consistent with a practical application scenario, the first settling time may be adjusted by correcting the first time weight value.
Wherein, the second time weighted value refers to the corrected first time weighted value; the second settling time refers to the settling time required by the wort calculated according to the second time weight value.
Calculating the difference between the first sediment weight and the second sediment weight, weighting the difference to obtain a second time weight value, calculating the second time weight value by using the following formula,
Figure DEST_PATH_IMAGE074A
wherein the content of the first and second substances,
Figure DEST_PATH_IMAGE076
is the weight value of the second time, and,
Figure DEST_PATH_IMAGE078
is a first time weight value and is,
Figure DEST_PATH_IMAGE080
in order to be the first weight of the precipitate,
Figure DEST_PATH_IMAGE082A
in order to obtain the second weight of precipitate,
Figure DEST_PATH_IMAGE084
to increase the correction weight value.
As can be seen from the above formula, when
Figure DEST_PATH_IMAGE086
The larger the weight of the precipitate is, the smaller the weight of the precipitate separated from the wort after the whirling precipitation stage is, and the smaller the separated precipitate is, and the corrected second time weight value can be increased by weighting treatment, so that the precipitation time of the wort is increased to make the precipitation more sufficient,
Figure 385648DEST_PATH_IMAGE086
the larger the value of the second temporal weight value after the weighting process is, the larger the value is.
After the second time weight value is calculated, the first settling time can be adjusted through the second time weight value to obtain a second settling time.
Adjust first settling time through above-mentioned mode, can prevent that the wort from deposiing insufficient problem in first settling time, make the second settling time after the adjustment accord with the applicable scene of this scheme more.
Referring to fig. 2, a schematic structural diagram of a data processing system suitable for a process of brewing a grass polysaccharide refined beer according to an embodiment of the present invention is shown, the data processing system suitable for the process of brewing the grass polysaccharide refined beer includes:
the system comprises an acquisition module, a storage module and a processing module, wherein the acquisition module is used for acquiring a first turbidity value, a first wort pH value, a first barley protein content and a first volume value of wort after the wort is subjected to a boiling stage in the process of brewing the grass polysaccharide refined beer, and determining a first hop adding amount according to the first volume value of the wort;
the calculating module is used for calculating a pump speed value calculating model according to the first barley protein content, the first turbidity value, the first wort pH value and the first hop adding amount to obtain a pump speed value coefficient of the wort pump in a backspin precipitation stage, and the pump speed value calculating model comprises a protein calculating unit, a turbidity calculating unit, a pH value calculating unit and a hop adding amount calculating unit;
the convolution module is used for obtaining a pump speed value of the wheat juice pump by the pump speed calculation model according to the pump speed value coefficient and the reference pump speed value, and controlling the wheat juice pump to carry out convolution process in a convolution precipitation stage on the wheat juice under the pump speed value;
the precipitation module is used for obtaining first precipitation time of the wort according to the pump speed value of the wort pump, and controlling the rotary precipitation tank to carry out a precipitation process in a rotary precipitation stage on the wort according to the first precipitation time after the rotary precipitation tank finishes the rotary process;
the first judgment module is used for acquiring a second turbidity value of the wort when the precipitation process is finished, and finishing the precipitation process of the wort if the second turbidity value is less than or equal to a preset turbidity value;
and the second judgment module is used for continuing the precipitation process of the wort if the second turbidity value is greater than the preset turbidity value, wherein the total time length of the precipitation process does not exceed the preset maximum precipitation time.
The system of the embodiment shown in fig. 2 can be correspondingly used to execute the steps in the method embodiment shown in fig. 1, and the implementation principle and technical effect are similar, which are not described herein again.
Referring to fig. 3, which is a schematic diagram of a hardware structure of an electronic device according to an embodiment of the present invention, the electronic device 30 includes: a processor 31, a memory 32 and a computer program; wherein
A memory 32 for storing the computer program, which may also be a flash memory (flash). The computer program is, for example, an application program, a functional module, or the like that implements the above method.
A processor 31 for executing the computer program stored in the memory to implement the steps performed by the apparatus in the above method. Reference may be made in particular to the description relating to the preceding method embodiment.
Alternatively, the memory 32 may be separate or integrated with the processor 31.
When the memory 32 is a device independent of the processor 31, the apparatus may further include:
a bus 33 for connecting the memory 32 and the processor 31.
The present invention also provides a readable storage medium, in which a computer program is stored, which, when being executed by a processor, is adapted to implement the methods provided by the various embodiments described above.
The readable storage medium may be a computer storage medium or a communication medium. Communication media includes any medium that facilitates transfer of a computer program from one place to another. Computer storage media may be any available media that can be accessed by a general purpose or special purpose computer. For example, a readable storage medium is coupled to the processor such that the processor can read information from, and write information to, the readable storage medium. Of course, the readable storage medium may also be an integral part of the processor. The processor and the readable storage medium may reside in an Application Specific Integrated Circuits (ASIC). Additionally, the ASIC may reside in user equipment. Of course, the processor and the readable storage medium may also reside as discrete components in a communication device. The readable storage medium may be a read-only memory (ROM), a random-access memory (RAM), a CD-ROM, a magnetic tape, a floppy disk, an optical data storage device, and the like.
The present invention also provides a program product comprising execution instructions stored in a readable storage medium. The at least one processor of the device may read the execution instructions from the readable storage medium, and the execution of the execution instructions by the at least one processor causes the device to implement the methods provided by the various embodiments described above.
In the above embodiments of the apparatus, it should be understood that the Processor may be a Central Processing Unit (CPU), other general purpose processors, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of a method disclosed in connection with the present invention may be embodied directly in a hardware processor, or in a combination of the hardware and software modules within the processor.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present invention.

Claims (10)

1. A data processing method suitable for a technology of brewing beer by using spartina anglica polysaccharide is characterized by comprising the following steps:
obtaining a first turbidity value, a first wort pH value, a first barley protein content and a first volume value of wort after the wort is boiled in the process of brewing the grass polysaccharide refined beer, and determining the first hop adding amount according to the first volume value of the wort;
calculating a pump speed value calculation model according to the first barley protein content, the first turbidity value, the first wort pH value and the first hop addition amount to obtain a pump speed value coefficient of the wort pump in a rotary precipitation stage, wherein the pump speed value calculation model comprises a protein calculation unit, a turbidity calculation unit, a pH value calculation unit and a hop addition amount calculation unit;
the pump speed calculation model obtains a pump speed value of the wheat juice pump according to the pump speed value coefficient and the reference pump speed value, and controls the wheat juice pump to carry out a convolution process in a convolution precipitation stage on the wheat juice under the pump speed value;
obtaining a first precipitation time of the wort according to the pumping speed value of the wort pump, and after the whirling process is finished in the whirling precipitation tank, controlling the whirling precipitation tank to carry out the precipitation process in the whirling precipitation stage on the wort according to the first precipitation time;
obtaining a second turbidity value of the wort when the precipitation process is finished, and finishing the precipitation process of the wort if the second turbidity value is less than or equal to a preset turbidity value;
and if the second turbidity value is larger than the preset turbidity value, continuing the precipitation process of the wort, wherein the total time length of the precipitation process does not exceed the preset maximum precipitation time.
2. The method of claim 1,
the pump speed value calculation model calculates according to the first barley protein content, the first turbidity value, the first wort pH value and the first hop addition amount to obtain a pump speed value coefficient of the wort pump in the rotary precipitation stage, and comprises a protein calculation unit, a turbidity calculation unit, a pH value calculation unit and a hop addition amount calculation unit, and comprises:
the pump speed value calculation model obtains a preset second barley protein content, a preset third turbidity value, a preset second wort pH value and a preset second hop adding amount;
the protein calculation unit obtains a protein offset coefficient according to the protein content of the first barley and the protein content of the second barley;
the turbidity calculation unit obtains a turbidity value offset coefficient according to the first turbidity value and the third turbidity value;
the pH value calculating unit obtains a pH value deviation coefficient according to the pH value of the first wort and the pH value of the second wort;
the hop addition amount calculation unit obtains a hop addition amount offset coefficient according to the first hop addition amount and the second hop addition amount;
and obtaining the pump speed value coefficient of the wheat juice pump in the rotary precipitation stage according to the protein offset coefficient, the turbidity value offset coefficient, the pH value offset coefficient and the hop addition amount offset coefficient.
3. The method of claim 2,
the method for obtaining the pump speed value coefficient of the wheat juice pump in the rotary precipitation stage according to the protein offset coefficient, the turbidity value offset coefficient, the pH value offset coefficient and the hop addition amount offset coefficient comprises the following steps:
calculating protein offset coefficient, turbidity value offset coefficient, pH value offset coefficient and hop addition amount offset coefficient by the following formula,
Figure 484463DEST_PATH_IMAGE002
Figure 995079DEST_PATH_IMAGE004
wherein the content of the first and second substances,
Figure DEST_PATH_IMAGE006A
as a function of the protein offset coefficient,
Figure 259969DEST_PATH_IMAGE008
is the protein content of the first barley, and is,
Figure 546856DEST_PATH_IMAGE010
is the protein content of the second barley, and is,
Figure 626808DEST_PATH_IMAGE012
is a weight value of the protein bias coefficient,
Figure 308325DEST_PATH_IMAGE014
in order to shift the coefficient for the turbidity value,
Figure 998194DEST_PATH_IMAGE016
is a first turbidity value of the sample to be measured,
Figure 665936DEST_PATH_IMAGE018
in order to be the third turbidity value,
Figure DEST_PATH_IMAGE020A
is a weight value of the turbidity value offset coefficient,
Figure DEST_PATH_IMAGE022A
is the coefficient of pH value deviation, and is,
Figure DEST_PATH_IMAGE024A
the pH value of the first wort is the pH value,
Figure DEST_PATH_IMAGE026A
the pH value of the second wort is the pH value,
Figure DEST_PATH_IMAGE028A
is the weight value of the pH value offset coefficient,
Figure DEST_PATH_IMAGE030A
is the offset coefficient of the added amount of the hop,
Figure DEST_PATH_IMAGE032A
is the first hop addition amount,
Figure DEST_PATH_IMAGE034A
is the added amount of the second hop,
Figure DEST_PATH_IMAGE036A
the weight value is the weight value of the offset coefficient of the added amount of the hops;
and sequentially adding the protein offset coefficient, the turbidity value offset coefficient, the pH value offset coefficient and the hop addition amount offset coefficient to obtain a pump speed value coefficient.
4. The method of claim 3,
the pump speed calculation model obtains a pump speed value of the wort pump according to the pump speed value coefficient and a reference pump speed value, and controls the wort pump to carry out a whirling process in a whirling precipitation stage on wort under the pump speed value, wherein the whirling process comprises the following steps:
the pumping speed value of the wheat juice pump is calculated by the following formula,
Figure DEST_PATH_IMAGE038
wherein the content of the first and second substances,
Figure DEST_PATH_IMAGE040
is the pump speed value of the wheat juice pump,
Figure DEST_PATH_IMAGE042
is the second of protein offset coefficient, turbidity value offset coefficient, pH value offset coefficient and hop addition offset coefficient
Figure DEST_PATH_IMAGE044
The number of the offset coefficients is such that,
Figure DEST_PATH_IMAGE046
is a coefficient of the pump speed value,
Figure DEST_PATH_IMAGE048
is a constantThe number of the first and second groups is,
Figure DEST_PATH_IMAGE050
is a weighted value of the pump speed value coefficient,
Figure DEST_PATH_IMAGE052
is a reference pump speed value;
controlling the wort pump to carry out the whirling process in the whirling precipitation stage on the wort at the pump speed value.
5. The method of claim 4,
the first precipitation time of the wort is obtained according to the pump speed value of the wort pump, and after the whirling process of the whirling precipitation tank is finished, the whirling precipitation tank is controlled to carry out the precipitation process in the whirling precipitation stage on the wort according to the first precipitation time, and the precipitation process comprises the following steps:
generating a pump speed value deviation coefficient according to the pump speed value of the wort pump and a reference pump speed value, and obtaining first precipitation time of wort according to the pump speed value deviation coefficient and the reference precipitation time;
the first settling time of the wort was calculated using the following formula,
Figure DEST_PATH_IMAGE054
wherein the content of the first and second substances,
Figure DEST_PATH_IMAGE056
the first precipitation time of the wort is,
Figure DEST_PATH_IMAGE058
in order to shift the coefficient for the pump speed value,
Figure DEST_PATH_IMAGE060
the precipitation time is taken as a reference for precipitation time,
Figure DEST_PATH_IMAGE062
the weighted value of the first precipitation time;
and after the whirling process is finished in the whirling precipitation tank, controlling the whirling precipitation tank to carry out the precipitation process in the whirling precipitation stage on the wort according to the first precipitation time.
6. The method of claim 1, further comprising:
obtaining a preset weight interval of the precipitate corresponding to the first volume value of the wort, and taking the minimum value of the preset weight interval as the first precipitate weight of the precipitate;
obtaining a second precipitation weight of precipitates in the wort after the rotary precipitation stage, and taking a first volume value of the wort corresponding to the second precipitation weight as a target volume value if the second precipitation weight is less than the first precipitation weight;
when the next target volume value under the same condition appears, acquiring a weight value of first settling time corresponding to the target volume value, and taking the weight value of the first settling time as a first time weight value;
and correcting the first time weight value according to the first deposition weight and the second deposition weight to obtain a second time weight value, and adjusting the first deposition time according to the second time weight value to obtain a second deposition time.
7. The method of claim 6,
the correcting the first time weight value according to the first sediment weight and the second sediment weight to obtain a second time weight value includes:
calculating the difference between the first sediment weight and the second sediment weight, weighting the difference to obtain a second time weight value, calculating the second time weight value by using the following formula,
Figure DEST_PATH_IMAGE064
wherein,
Figure DEST_PATH_IMAGE066
Is the weight value of the second time, and,
Figure DEST_PATH_IMAGE068
is a first time weight value and is,
Figure DEST_PATH_IMAGE070
in order to be the first weight of the precipitate,
Figure DEST_PATH_IMAGE072
in order to obtain the second weight of precipitate,
Figure DEST_PATH_IMAGE074
to increase the correction weight value.
8. A data processing system suitable for use in a process for brewing a grass polysaccharide beer comprising:
the system comprises an acquisition module, a storage module and a processing module, wherein the acquisition module is used for acquiring a first turbidity value, a first wort pH value, a first barley protein content and a first volume value of wort after the wort is subjected to a boiling stage in the process of brewing the grass polysaccharide refined beer, and determining a first hop adding amount according to the first volume value of the wort;
the calculating module is used for calculating a pump speed value calculating model according to the first barley protein content, the first turbidity value, the first wort pH value and the first hop adding amount to obtain a pump speed value coefficient of the wort pump in a backspin precipitation stage, and the pump speed value calculating model comprises a protein calculating unit, a turbidity calculating unit, a pH value calculating unit and a hop adding amount calculating unit;
the convolution module is used for obtaining a pump speed value of the wheat juice pump by the pump speed calculation model according to the pump speed value coefficient and the reference pump speed value, and controlling the wheat juice pump to carry out convolution process in a convolution precipitation stage on the wheat juice under the pump speed value;
the sedimentation module is used for obtaining first sedimentation time of the wort according to the pumping speed value of the wort pump, and after the whirling process is finished in the whirling sedimentation tank, controlling the whirling sedimentation tank to carry out the sedimentation process in the whirling sedimentation stage on the wort according to the first sedimentation time;
the first judgment module is used for acquiring a second turbidity value of the wort when the precipitation process is finished, and finishing the precipitation process of the wort if the second turbidity value is less than or equal to a preset turbidity value;
and the second judgment module is used for continuing the precipitation process of the wort if the second turbidity value is greater than the preset turbidity value, wherein the total time length of the precipitation process does not exceed the preset maximum precipitation time.
9. An electronic device, comprising: memory, a processor and a computer program, the computer program being stored in the memory, the processor running the computer program to perform the method of any of claims 1 to 7.
10. A readable storage medium, in which a computer program is stored which, when being executed by a processor, is adapted to carry out the method of any one of claims 1 to 7.
CN202210977709.1A 2022-08-16 2022-08-16 Data processing method and system suitable for process of brewing beer by utilizing spartina anglica polysaccharide Pending CN115044429A (en)

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