CN106124714A - Sulfur dioxide on-line monitoring method during wine production and device - Google Patents
Sulfur dioxide on-line monitoring method during wine production and device Download PDFInfo
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- RAHZWNYVWXNFOC-UHFFFAOYSA-N Sulphur dioxide Chemical compound O=S=O RAHZWNYVWXNFOC-UHFFFAOYSA-N 0.000 title claims abstract description 220
- 238000000034 method Methods 0.000 title claims abstract description 31
- 238000012544 monitoring process Methods 0.000 title claims abstract description 17
- 238000004519 manufacturing process Methods 0.000 title abstract 4
- 238000012417 linear regression Methods 0.000 claims abstract description 55
- 239000007788 liquid Substances 0.000 claims abstract description 48
- 238000013124 brewing process Methods 0.000 claims abstract description 25
- LFQSCWFLJHTTHZ-UHFFFAOYSA-N Ethanol Chemical compound CCO LFQSCWFLJHTTHZ-UHFFFAOYSA-N 0.000 claims description 106
- 238000009614 chemical analysis method Methods 0.000 claims description 8
- 238000002474 experimental method Methods 0.000 claims description 7
- 238000012360 testing method Methods 0.000 claims description 5
- 238000012806 monitoring device Methods 0.000 claims description 4
- 238000004364 calculation method Methods 0.000 claims description 3
- 238000010494 dissociation reaction Methods 0.000 abstract description 6
- 230000005593 dissociations Effects 0.000 abstract description 6
- 235000013305 food Nutrition 0.000 abstract description 4
- 239000007791 liquid phase Substances 0.000 abstract description 4
- 238000003908 quality control method Methods 0.000 abstract description 3
- 239000002994 raw material Substances 0.000 abstract description 3
- 238000005259 measurement Methods 0.000 abstract 1
- 235000010269 sulphur dioxide Nutrition 0.000 description 79
- 239000012071 phase Substances 0.000 description 14
- 239000000126 substance Substances 0.000 description 5
- 238000004458 analytical method Methods 0.000 description 4
- 238000001514 detection method Methods 0.000 description 4
- 241000219095 Vitis Species 0.000 description 3
- 235000009754 Vitis X bourquina Nutrition 0.000 description 3
- 235000012333 Vitis X labruscana Nutrition 0.000 description 3
- 235000014787 Vitis vinifera Nutrition 0.000 description 3
- 238000004590 computer program Methods 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 241000894006 Bacteria Species 0.000 description 1
- 208000035143 Bacterial infection Diseases 0.000 description 1
- NINIDFKCEFEMDL-UHFFFAOYSA-N Sulfur Chemical compound [S] NINIDFKCEFEMDL-UHFFFAOYSA-N 0.000 description 1
- 239000000654 additive Substances 0.000 description 1
- 230000000996 additive effect Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- YNLAOSYQHBDIKW-UHFFFAOYSA-M diethylaluminium chloride Chemical compound CC[Al](Cl)CC YNLAOSYQHBDIKW-UHFFFAOYSA-M 0.000 description 1
- 238000004821 distillation Methods 0.000 description 1
- 230000002349 favourable effect Effects 0.000 description 1
- 235000013373 food additive Nutrition 0.000 description 1
- 239000002778 food additive Substances 0.000 description 1
- 239000011521 glass Substances 0.000 description 1
- 230000005764 inhibitory process Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000003647 oxidation Effects 0.000 description 1
- 238000007254 oxidation reaction Methods 0.000 description 1
- 229910052717 sulfur Inorganic materials 0.000 description 1
- 239000011593 sulfur Substances 0.000 description 1
- 239000004291 sulphur dioxide Substances 0.000 description 1
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
- G01N33/02—Food
- G01N33/14—Beverages
- G01N33/146—Beverages containing alcohol
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- Engineering & Computer Science (AREA)
- Food Science & Technology (AREA)
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- Life Sciences & Earth Sciences (AREA)
- Chemical & Material Sciences (AREA)
- Medicinal Chemistry (AREA)
- Physics & Mathematics (AREA)
- Analytical Chemistry (AREA)
- Biochemistry (AREA)
- General Health & Medical Sciences (AREA)
- General Physics & Mathematics (AREA)
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- Investigating Or Analyzing Materials By The Use Of Electric Means (AREA)
Abstract
nullThe invention discloses a kind of sulfur dioxide on-line monitoring method during wine production and device，Relate to Food Monitoring technical field，Present invention gas-liquid phase equilibrium during wine production and dissociation equilibrium principle are set about，Take into full account the many factors of impact balance，After data during obtaining wine production，Vapor liquid equilibrium coefficient and the ionic equilibrium coefficient of current wine equilibrium system is calculated by linear regression function，Wine Middle molecule state sulfur dioxide concentration is calculated according to liquid phase molecular state sulfur dioxide equilibrium relation，And then calculate free state sulfur dioxide concentration according to liquid Middle molecule state sulfur dioxide with free state sulfur dioxide dissociation equilibrium relation，It is capable of quickly、Lossless、Free sulfur dioxide concentration in Intelligent Measurement wine，There is good convenience and real-time，Contribute to realizing the most efficiently、Wine quality monitoring accurately and the quality control in brewing process and raw material saving.
Description
Technical Field
The invention relates to the technical field of food monitoring, in particular to a method and a device for online monitoring of sulfur dioxide in a wine brewing process.
Background
In the wine brewing process, sulfur dioxide is a universal additive in the world and has the function of preventing wine from being oxidized and rotten. But the residual amount of sulfur dioxide must be strictly controlled, and when the adding amount is small, the wine is easy to brown and generate bacterial diseases; when the grape wine is excessively used, the grape wine can generate pungent smelly sulfur smell, the quality of the grape wine is influenced, and the health of a human body is also influenced.
The residual quantity of sulfur dioxide in the wine is not more than 0.25g/L in the national food safety standard food additive use standard (GB 2760-. Other commonly used chemical detection methods include distillation and pararosaniline hydrochloride. The chemical detection method has good accuracy, needs a special glass instrument, has a complex analysis process and high time cost, and is not suitable for real-time online monitoring.
Disclosure of Invention
In view of the above, the present invention has been made to provide an on-line sulfur dioxide monitoring method and apparatus for use in wine brewing process that overcomes or at least partially solves the above mentioned problems.
According to one aspect of the invention, a method for online monitoring of sulfur dioxide in a wine brewing process is provided, the method comprising:
s1: obtaining the current gas-phase sulfur dioxide concentration, the current pH value and the current ethanol concentration of the wine in the wine brewing process;
s2: determining a current gas-liquid balance coefficient through a linear regression function according to the current ethanol concentration, wherein the linear regression function is a corresponding relation between the ethanol concentration and the gas-liquid balance coefficient;
s3: calculating the current molecular sulfur dioxide concentration in the wine according to the current gas-phase sulfur dioxide concentration and the gas-liquid equilibrium coefficient;
s4: determining a current ion balance coefficient through a multiple linear regression function according to the current pH value and the current ethanol concentration, wherein the multiple linear regression function is a corresponding relation among the pH value, the ethanol concentration and the ion balance coefficient;
s5: and determining the current free-state sulfur dioxide concentration according to the current pH value, the current molecular-state sulfur dioxide concentration and the current ion balance coefficient.
Optionally, in step S2, the linear regression function is
K＝α0+α1×E+
Wherein K is the gas-liquid equilibrium coefficient, α0Is constant, α1Is the correlation coefficient, is the random error term, and E is the ethanol concentration.
Optionally, in step S3, calculating the current molecular sulfur dioxide concentration in the wine according to the current gas-phase sulfur dioxide concentration and the gas-liquid equilibrium coefficient,
whereinK is the gas-liquid equilibrium coefficient, SMIs the molecular sulfur dioxide concentration, M is the molecular mass of sulfur dioxide, and G is the gas phase sulfur dioxide concentration.
Optionally, in step S4, the multiple linear regression function is
P＝β0+β1×E+β2×PH+
Wherein P is the ion balance coefficient, β0Is constant, β1,β2Is the correlation coefficient, is the random error term, E is the ethanol concentration, and PH is the pH value.
Optionally, in step S5, determining the current free-state sulfur dioxide concentration according to the current pH value, the current molecular-state sulfur dioxide concentration, and the current ion balance coefficient by the following formula,
SF＝SM(1+10(PH-P))
wherein S isMMolecular sulfur dioxide concentration, pH value, P ion balance coefficient, SFIs the free sulfur dioxide concentration.
Optionally, the method further comprises:
and obtaining a relative error between the concentration of the free sulfur dioxide calculated in a preset time period and a measured value, and detecting the wine liquid sample by adopting a chemical analysis method to correct the linear regression function and/or the multiple linear regression function by setting gradient tests with different pH values and ethanol concentrations when the relative error is larger than the preset error.
Optionally, before determining the current gas-liquid equilibrium coefficient by a linear regression function according to the current ethanol concentration, the method further includes:
and (3) detecting the wine liquid sample by a chemical analysis method through setting gradient experiments of different ethanol concentrations to establish the linear regression function.
Optionally, before determining the current ion balance coefficient by the multiple linear regression function according to the current pH value and the current ethanol concentration, the method further includes:
and (3) detecting the wine liquid sample by a chemical analysis method through setting gradient experiments with different pH values and ethanol concentrations to establish the multiple linear regression function.
Optionally, the method further comprises:
and judging whether the concentration of the current free sulfur dioxide is within a preset concentration range, and if not, carrying out early warning reminding.
According to another aspect of the present invention, there is provided an online sulfur dioxide monitoring device for use in a wine brewing process, the device comprising:
the parameter acquisition unit is used for acquiring the current gas-phase sulfur dioxide concentration, the current pH value and the current ethanol concentration of the wine in the wine brewing process;
the first coefficient determining unit is used for determining a current gas-liquid balance coefficient through a linear regression function according to the current ethanol concentration, wherein the linear regression function is a corresponding relation between the ethanol concentration and the gas-liquid balance coefficient;
the molecular concentration calculating unit is used for calculating the current molecular sulfur dioxide concentration in the wine according to the current gas-phase sulfur dioxide concentration and the gas-liquid equilibrium coefficient;
a second coefficient determining unit, configured to determine a current ion balance coefficient through a multiple linear regression function according to the current pH value and the current ethanol concentration, where the multiple linear regression function is a corresponding relationship between the pH value, the ethanol concentration, and the ion balance coefficient;
and the ion concentration calculation unit is used for determining the current free-state sulfur dioxide concentration according to the current pH value, the current molecular-state sulfur dioxide concentration and the current ion balance coefficient.
The method starts from the principle of gas-liquid phase balance and dissociation balance in the wine brewing process, fully considers various factors influencing balance, calculates the gas-liquid balance coefficient and the ion balance coefficient of the current wine balance system through a linear regression function after acquiring data in the wine brewing process, calculates the concentration of molecular sulfur dioxide in the wine according to the gas-liquid molecular sulfur dioxide balance relation, and further calculates the concentration of free sulfur dioxide according to the dissociation balance relation of molecular sulfur dioxide and free sulfur dioxide in the liquid, can realize rapid, nondestructive and intelligent detection of the concentration of free sulfur dioxide in the wine, has good convenience and real-time performance, and is favorable for realizing direct, efficient and accurate quality control and raw material saving in the wine quality monitoring and brewing processes.
Drawings
FIG. 1 is a flow chart of a sulfur dioxide on-line monitoring method for use in a wine brewing process according to one embodiment of the present invention;
fig. 2 is a block diagram of a sulfur dioxide on-line monitoring device used in a wine brewing process according to an embodiment of the present invention.
Detailed Description
The following detailed description of embodiments of the present invention is provided in connection with the accompanying drawings and examples. The following examples are intended to illustrate the invention but are not intended to limit the scope of the invention.
FIG. 1 is a flow chart of a sulfur dioxide on-line monitoring method for use in a wine brewing process according to one embodiment of the present invention; referring to fig. 1, the method includes:
s1: and obtaining the current gas-phase sulfur dioxide concentration, the current pH value and the current ethanol concentration of the wine in the wine brewing process.
It should be noted that, a gas sensor may be used to obtain the current gas-phase sulfur dioxide concentration, and the pH sensor and the ethanol sensor are used to respectively obtain the pH and the ethanol concentration of the wine liquid.
In order to realize remote monitoring, in this embodiment, the current gas-phase sulfur dioxide concentration, the current pH value of the wine, and the current ethanol concentration may be obtained through a wireless sensor network.
S2: and determining a current gas-liquid balance coefficient through a linear regression function according to the current ethanol concentration, wherein the linear regression function is the corresponding relation between the ethanol concentration and the gas-liquid balance coefficient.
In this embodiment, the linear regression function may be
K＝α0+α1×E+
Wherein K is the gas-liquid equilibrium coefficient, α0Is constant, α1Is a correlation coefficient, is a random error term, and N (0,2) And E is the ethanol concentration.
It is understood that the linear regression function can be established by setting gradient experiments of different ethanol concentrations and detecting the wine liquid sample by chemical analysis before step S2.
S3: and calculating the current molecular sulfur dioxide concentration in the wine according to the current gas-phase sulfur dioxide concentration and the gas-liquid equilibrium coefficient.
In this embodiment, the current molecular sulfur dioxide concentration in the wine can be calculated according to the current gas-phase sulfur dioxide concentration and the gas-liquid equilibrium coefficient by the following formula,
whereinK is the gas-liquid equilibrium coefficient, SMIs the molecular sulfur dioxide concentration, M is the molecular mass of sulfur dioxide, and G is the gas phase sulfur dioxide concentration.
S4: and determining the current ion balance coefficient through a multiple linear regression function according to the current pH value and the current ethanol concentration, wherein the multiple linear regression function is the corresponding relation among the pH value, the ethanol concentration and the ion balance coefficient.
In this embodiment, the multiple linear regression function may be
P＝β0+β1×E+β2×PH+
Wherein P is the ion balance coefficient, β0Is constant, β1,β2Is a correlation coefficient, is a random error term, and N (0,2) E is the ethanol concentration and pH is the pH value.
It is understood that, before step S4, the multiple linear regression function can be established by setting gradient experiments with different pH values and ethanol concentrations and detecting wine liquid samples by chemical analysis.
S5: and determining the current free-state sulfur dioxide concentration according to the current pH value, the current molecular-state sulfur dioxide concentration and the current ion balance coefficient.
In this embodiment, the current free sulfur dioxide concentration can be determined according to the current pH, the current molecular sulfur dioxide concentration, and the current ion balance coefficient by the following formula,
SF＝SM(1+10(PH-P))
wherein S isMMolecular sulfur dioxide concentration, pH value, P ion balance coefficient, SFIs the free sulfur dioxide concentration.
S6: acquiring a relative error between the concentration of free sulfur dioxide calculated in a preset time period and a measured value, and detecting a wine liquid sample by adopting a chemical analysis method to correct the linear regression function and/or the multiple linear regression function by setting gradient tests with different pH values and ethanol concentrations when the relative error is larger than the preset error;
it can be understood that, in order to ensure the accuracy of the calculation of the linear regression function and/or the multiple linear regression function, in this embodiment, a relative error between the concentration of the free sulfur dioxide calculated within a preset time period and the measured value may be obtained, and when the relative error is greater than the preset error, it indicates that the accuracy of the calculated concentration of the free sulfur dioxide does not meet the requirement, and the linear regression function and/or the multiple linear regression function may be corrected by setting gradient tests of different pH values and ethanol concentrations and detecting the wine liquid sample by a chemical analysis method;
of course, when the relative error is not greater than the preset error, it indicates that the accuracy of the calculated free sulfur dioxide concentration is satisfactory without correcting the linear regression function and/or the multiple linear regression function.
In a particular implementation, the relative error may be calculated by
Wherein n is the number of times of calculating the concentration of the free sulfur dioxide in a preset time period,in order to determine the free sulfur dioxide concentration by the chemical analysis experiment at the i-th time,is the free sulphur dioxide concentration calculated for the ith time.
S7: and judging whether the concentration of the current free sulfur dioxide is within a preset concentration range, and if not, carrying out early warning reminding.
It can be understood that when the concentration of the current free sulfur dioxide is within the preset concentration range, the concentration of the current free sulfur dioxide is in a normal level, and early warning reminding is not needed.
If the current free sulfur dioxide concentration SFHigher than the upper limit value of the preset concentration range (namely, the upper limit value of food safety)The quality of the wine is unsafe and harmful to human health, and early warning reminding is needed; if the current free sulfur dioxide concentration SFLower than the lower limit of the predetermined concentration range (i.e., lower limit of putrefaction inhibition)Sulfur dioxide cannot effectively resist oxidation and bacteria, wine can be rotten, and early warning is needed.
The embodiment starts from the principle of gas-liquid phase balance and dissociation balance in the wine brewing process, and fully considers various factors influencing balance, after data in the wine brewing process are obtained, the gas-liquid balance coefficient and the ion balance coefficient of the current wine balance system are calculated through a linear regression function, the concentration of molecular sulfur dioxide in wine is calculated according to the gas-liquid molecular sulfur dioxide balance relation, and then the concentration of free sulfur dioxide is calculated according to the dissociation balance relation of molecular sulfur dioxide and free sulfur dioxide in liquid, so that the rapid, nondestructive and intelligent detection of the concentration of free sulfur dioxide in wine can be realized, and the wine quality monitoring system has good convenience and real-time performance, and is beneficial to realizing direct, efficient and accurate quality control and raw material saving in the wine quality monitoring and brewing process.
Method embodiments are described as a series of acts or combinations for simplicity of explanation, but it should be understood by those skilled in the art that the present invention is not limited by the order of acts or acts described, as some steps may occur in other orders or concurrently with other steps in accordance with the embodiments of the invention. Furthermore, those skilled in the art will appreciate that the embodiments described in the specification are presently preferred and that no particular act is required to implement the invention.
FIG. 2 is a block diagram of a sulfur dioxide on-line monitoring device for use in a wine brewing process according to an embodiment of the present invention; referring to fig. 2, the apparatus includes:
a parameter obtaining unit 201, configured to obtain a current gas-phase sulfur dioxide concentration, a current pH value of the wine, and a current ethanol concentration in a wine brewing process;
a first coefficient determining unit 202, configured to determine a current gas-liquid equilibrium coefficient through a linear regression function according to the current ethanol concentration, where the linear regression function is a corresponding relationship between the ethanol concentration and the gas-liquid equilibrium coefficient;
the molecular concentration calculating unit 203 is used for calculating the current molecular sulfur dioxide concentration in the wine according to the current gas-phase sulfur dioxide concentration and the gas-liquid equilibrium coefficient;
a second coefficient determining unit 204, configured to determine a current ion balance coefficient through a multiple linear regression function according to the current pH value and the current ethanol concentration, where the multiple linear regression function is a corresponding relationship between the pH value, the ethanol concentration, and the ion balance coefficient;
and the ion concentration calculating unit 205 is configured to determine the current free-state sulfur dioxide concentration according to the current pH value, the current molecular-state sulfur dioxide concentration, and the current ion balance coefficient.
As for the apparatus embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and for the relevant points, reference may be made to the partial description of the method embodiment.
It should be noted that, in the respective components of the apparatus of the present invention, the components therein are logically divided according to the functions to be implemented thereof, but the present invention is not limited thereto, and the respective components may be newly divided or combined as necessary.
Various component embodiments of the invention may be implemented in hardware, or in software modules running on one or more processors, or in a combination thereof. In the device, the PC remotely controls the equipment or the device through the Internet, and accurately controls each operation step of the equipment or the device. The present invention may also be embodied as apparatus or device programs (e.g., computer programs and computer program products) for performing a portion or all of the methods described herein. The program for realizing the invention can be stored on a computer readable medium, and the file or document generated by the program has statistics, generates a data report and a cpk report, and the like, and can carry out batch test and statistics on the power amplifier. It should be noted that the above-mentioned embodiments illustrate rather than limit the invention, and that those skilled in the art will be able to design alternative embodiments without departing from the scope of the appended claims. In the claims, any reference signs placed between parentheses shall not be construed as limiting the claim. The word "comprising" does not exclude the presence of elements or steps not listed in a claim. The word "a" or "an" preceding an element does not exclude the presence of a plurality of such elements. The invention may be implemented by means of hardware comprising several distinct elements, and by means of a suitably programmed computer. In the unit claims enumerating several means, several of these means may be embodied by one and the same item of hardware. The usage of the words first, second and third, etcetera do not indicate any ordering. These words may be interpreted as names.
The above embodiments are only for illustrating the invention and are not to be construed as limiting the invention, and those skilled in the art can make various changes and modifications without departing from the spirit and scope of the invention, therefore, all equivalent technical solutions also belong to the scope of the invention, and the scope of the invention is defined by the claims.
Claims (10)
1. An on-line sulfur dioxide monitoring method used in a wine brewing process is characterized by comprising the following steps:
s1: obtaining the current gas-phase sulfur dioxide concentration, the current pH value and the current ethanol concentration of the wine in the wine brewing process;
s2: determining a current gas-liquid balance coefficient through a linear regression function according to the current ethanol concentration, wherein the linear regression function is a corresponding relation between the ethanol concentration and the gas-liquid balance coefficient;
s3: calculating the current molecular sulfur dioxide concentration in the wine according to the current gas-phase sulfur dioxide concentration and the gas-liquid equilibrium coefficient;
s4: determining a current ion balance coefficient through a multiple linear regression function according to the current pH value and the current ethanol concentration, wherein the multiple linear regression function is a corresponding relation among the pH value, the ethanol concentration and the ion balance coefficient;
s5: and determining the current free-state sulfur dioxide concentration according to the current pH value, the current molecular-state sulfur dioxide concentration and the current ion balance coefficient.
2. The method of claim 1, wherein in step S2, the linear regression function is
K＝α0+α1×E+
Wherein K is the gas-liquid equilibrium coefficient, α0Is constant, α1Is the correlation coefficient, is the random error term, and E is the ethanol concentration.
3. The method of claim 1, wherein in step S3, the current molecular sulfur dioxide concentration in the wine is calculated according to the current gas-phase sulfur dioxide concentration and the gas-liquid equilibrium coefficient,
wherein K is a gas-liquid equilibrium coefficient, SMIs the molecular sulfur dioxide concentration, M is the molecular mass of sulfur dioxide, and G is the gas phase sulfur dioxide concentration.
4. The method of claim 1, wherein in step S4, the multiple linear regression function is
P＝β0+β1×E+β2×PH+
Wherein,p is the ion balance coefficient, β0Is constant, β1,β2Is the correlation coefficient, is the random error term, E is the ethanol concentration, and PH is the pH value.
5. The method of claim 1, wherein in step S5, the current free-state sulfur dioxide concentration is determined according to the current pH value, the current molecular-state sulfur dioxide concentration, and the current ion balance coefficient by the following formula,
SF＝SM(1+10(PH-P))
wherein S isMMolecular sulfur dioxide concentration, pH value, P ion balance coefficient, SFIs the free sulfur dioxide concentration.
6. The method of any one of claims 1 to 5, further comprising:
and obtaining a relative error between the concentration of the free sulfur dioxide calculated in a preset time period and a measured value, and detecting the wine liquid sample by adopting a chemical analysis method to correct the linear regression function and/or the multiple linear regression function by setting gradient tests with different pH values and ethanol concentrations when the relative error is larger than the preset error.
7. The method of any one of claims 1-5, wherein prior to determining a current gas-liquid equilibrium coefficient by a linear regression function based on the current ethanol concentration, the method further comprises:
and (3) detecting the wine liquid sample by a chemical analysis method through setting gradient experiments of different ethanol concentrations to establish the linear regression function.
8. The method of any one of claims 1 to 5, wherein prior to determining a current ion balance coefficient by a multiple linear regression function based on the current pH and current ethanol concentration, the method further comprises:
and (3) detecting the wine liquid sample by a chemical analysis method through setting gradient experiments with different pH values and ethanol concentrations to establish the multiple linear regression function.
9. The method of any one of claims 1 to 5, further comprising:
and judging whether the concentration of the current free sulfur dioxide is within a preset concentration range, and if not, carrying out early warning reminding.
10. An online sulfur dioxide monitoring device used in a wine brewing process is characterized by comprising:
the parameter acquisition unit is used for acquiring the current gas-phase sulfur dioxide concentration, the current pH value and the current ethanol concentration of the wine in the wine brewing process;
the first coefficient determining unit is used for determining a current gas-liquid balance coefficient through a linear regression function according to the current ethanol concentration, wherein the linear regression function is a corresponding relation between the ethanol concentration and the gas-liquid balance coefficient;
the molecular concentration calculating unit is used for calculating the current molecular sulfur dioxide concentration in the wine according to the current gas-phase sulfur dioxide concentration and the gas-liquid equilibrium coefficient;
a second coefficient determining unit, configured to determine a current ion balance coefficient through a multiple linear regression function according to the current pH value and the current ethanol concentration, where the multiple linear regression function is a corresponding relationship between the pH value, the ethanol concentration, and the ion balance coefficient;
and the ion concentration calculation unit is used for determining the current free-state sulfur dioxide concentration according to the current pH value, the current molecular-state sulfur dioxide concentration and the current ion balance coefficient.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109240228A (en) * | 2018-09-03 | 2019-01-18 | 深圳市智物联网络有限公司 | A kind of data processing method and processing equipment |
| CN109470754A (en) * | 2018-12-18 | 2019-03-15 | 福建省农业科学院农业工程技术研究所 | A kind of method for early warning of grape wine storage period excessive oxidation |
| CN109470754B (en) * | 2018-12-18 | 2021-01-08 | 福建省农业科学院农业工程技术研究所 | Early warning method for excessive oxidation during wine storage period |
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