Beer gas stripping hop adding control method and device based on parameter self-adjustment

Abstract

The invention discloses a beer gas stripping hop adding control method and device based on parameter self-adjustment, and relates to the technical field of self-adaptive control systems. The beer gas stripping hop adding control method based on parameter self-adjustment comprises the following steps: converting a beer gas stripping signal; identifying a carbon dioxide flow state; carbon dioxide flow regulation and control. Whether signal monitoring parameter optimization is carried out or not is judged according to the effectiveness analysis result of the current signal conversion process, then flow state recognition accuracy analysis is carried out to judge whether flow abnormity correction is carried out or not, and finally flow adjustment stability analysis is carried out to judge whether flow valve compensation optimization is carried out or not. The effect of improving timeliness of carbon dioxide flow adjustment imbalance corresponding to the beer gas stripping hops adding control process is achieved, and the problem that in the prior art, due to the fact that carbon dioxide flow adjustment imbalance corresponding to the beer gas stripping hops adding control process is achieved, the accuracy of evaluation of the hops aroma absorptivity by beer is not high is solved.

Description

Technical Field

[0001] The present invention relates to the technical field of adaptive control systems, and in particular to a beer air stripping hop addition control method and device based on parameter self-regulation. Background Art

[0002] Traditional hop addition mostly relies on fixed process parameters, which are difficult to adapt to the dynamic changes of wort composition, temperature, pressure, etc. during the fermentation process, resulting in low hop utilization and flavor fluctuations. As an emerging hop addition method, beer gas stripping hopping technology has a significantly higher transfer efficiency of non-polar compounds than traditional dry hopping, but it requires precise control of parameters such as temperature and carbon dioxide flow rate. Gas stripping technology promotes the release of hop aroma substances by regulating the periodic changes of carbon dioxide pressure, but it requires real-time adjustment of parameters such as pressure, time, and gas flow to match the needs of the fermentation stage; by building a self-regulating system, dynamic optimization of parameters such as temperature and carbon dioxide flow during the gas stripping process can be achieved, which can solve the problems of low transfer efficiency and difficult flavor control in traditional technologies.

[0003] In the beer brewing process, hops are a key raw material. During beer stripping, hops are added in appropriate amounts at specific stages, and inert gases (such as carbon dioxide) are used to enhance the dissolution of hop components. Existing technologies automatically adjust the amount of hops added, the timing of addition, and the intensity of stripping by real-time monitoring of key parameters in beer brewing (such as temperature, pressure, flow), thereby achieving precise control of hop addition and improving the flavor quality and stability of beer.

[0004] Specifically: use granulated hops in proportion to add to the desorption container, raise the temperature of the desorption container to the set value, and provide thermodynamic conditions for the volatilization of aroma molecules; carbon dioxide is an inert gas, and is introduced into the desorption container at a constant flow rate, which can effectively flush the hop particles and carry volatile aroma compounds into the gas phase; the aroma-containing gaseous carbon dioxide enters the low-temperature absorption container, and the temperature of the absorption container is lower than that of the desorption container, forming a temperature gradient, which promotes the dissolution of gas-phase aroma molecules into the beer; dynamic adjustment of key parameters (such as temperature feedback, flow rate control), the sensor monitors the temperature difference between the desorption end and the absorption end in real time, maintains the thermodynamic driving force through temperature feedback, and adjusts the carbon dioxide flow rate in real time according to the desorption efficiency. By controlling the flow rate, it is avoided that the flow rate is too high and the aroma molecules are not fully absorbed.

[0005] In the prior art, after long-term use, the flow sensor may be corroded by impurities in the brewing environment, resulting in inaccurate measurement data. The system makes adjustments based on inaccurate flow data, and at this time, extra time is required to obtain more accurate flow data, which makes the valve drive device respond slowly and unable to change the opening in time according to the system's adjustment instructions, so that the carbon dioxide flow cannot reach the set value quickly and accurately. Secondly, during the beer brewing process, some impurities such as hop debris and sediment may accumulate in the pipeline. These impurities will cause partial blockage of the pipeline, affecting the circulation of carbon dioxide. Fluctuations in ambient temperature and air pressure in the pipeline will affect the physical properties of carbon dioxide, such as density. , viscosity, etc., if the system does not fully consider the factors of air pressure and temperature changes; in addition, during the beer brewing process, if the brewing process parameters are temporarily adjusted, such as the temperature and pressure of the desorption container, these changes will change the desorption rate of the hop aroma molecules and the carrying capacity of carbon dioxide. The temperature in the absorption container is monitored in real time by a temperature sensor, and the temperature gradient is maintained according to the feedback signal to ensure that the aroma molecules can be efficiently dissolved in the beer; and the system may not respond to these process adjustments in time, and still operate according to the original flow regulation strategy. There is a problem of low accuracy in the evaluation of the hop aroma absorption rate of beer due to the imbalance of carbon dioxide flow regulation corresponding to the beer gas lift hop addition control process. Summary of the Invention

[0006] The embodiments of the present application provide a method and device for controlling the addition of hops to beer by gas stripping based on parameter self-adjustment, thereby solving the problem in the prior art of low accuracy in the assessment of the hop aroma absorption rate of beer caused by an imbalance in the corresponding carbon dioxide flow rate regulation during the control process of the addition of hops to beer by gas stripping, and achieving an improvement in the timeliness of the corresponding carbon dioxide flow rate regulation during the control process of the addition of hops to beer by gas stripping.

[0007] The embodiment of the application provides a beer gas stripping hop adding control method based on parameter self-adjustment, and the method comprises the following steps: collecting a current signal of a corresponding flow sensor in a pre-fermentation period of beer brewing in real time, simultaneously performing effectiveness analysis on a signal conversion process of the current signal based on converted signal acquisition data, so as to determine whether there is a signal monitoring parameter optimization demand, the signal monitoring parameter optimization indicating that the conversion efficiency of the current signal is improved by adjusting a signal sampling frequency and signal filtering strength; if it is determined that the signal conversion is qualified, a carbon dioxide flow control period is acquired and carbon dioxide flow control effectiveness analysis is performed; in a first control period, an accuracy analysis is performed on a carbon dioxide flow state recognition process corresponding to a middle-fermentation period of beer brewing, so as to determine whether there is a flow abnormality correction demand, the flow abnormality correction indicating that the state recognition efficiency of the carbon dioxide flow is improved by adjusting a beer fermentation tank temperature and chemical polarity; if it is determined that the recognition accuracy is qualified, in a second control period, a stability analysis is performed on a carbon dioxide flow adjustment link corresponding to a post-fermentation period of beer brewing, so as to determine whether there is a flow valve compensation optimization demand, the flow valve compensation optimization indicating that the adjustment stability of the carbon dioxide flow is improved by correcting a valve flow overshoot and adjusting a gas temperature.

[0008] The embodiment of the application provides a beer gas stripping hop adding control device based on parameter self-adjustment, and the device comprises a signal monitoring controller, a temperature monitoring controller, a flow monitoring controller, a digital signal processor, an oscilloscope, a power spectrum density analyzer, an infrared gas sensor, a dissolved gas electrode, a thermal mass flowmeter and a spectrum analyzer; the signal monitoring controller is used for adjusting and controlling a signal sampling frequency and signal filtering strength; the temperature monitoring controller is used for adjusting and controlling a beer fermentation tank temperature; the flow monitoring controller is used for adjusting and controlling a valve flow overshoot; the digital signal processor is used for monitoring a signal harmonic component; the oscilloscope is used for monitoring a time-domain fluctuation amplitude; the power spectrum density analyzer is used for monitoring a noise energy amplitude; the infrared gas sensor is used for monitoring a gas-phase concentration; the dissolved gas electrode is used for monitoring a liquid-phase concentration; the thermal mass flowmeter is used for monitoring a flow fluctuation amplitude; and the spectrum analyzer is used for monitoring a flow frequency fluctuation value.

[0009] The one or more technical solutions provided in the embodiment of the application have at least the following technical effects or advantages: 1. The effectiveness of the signal conversion process of the current signal is analyzed through the acquired signal conversion data to determine whether there is a need for signal monitoring parameter optimization, reduce signal monitoring errors, and achieve precise control of the signal conversion link. Then, in the first control period, the accuracy of the carbon dioxide flow state identification process corresponding to the middle stage of beer brewing and fermentation is analyzed to determine whether there is a need for flow anomaly correction, reduce the flow deviation range, and achieve precise monitoring and evaluation of the carbon dioxide flow state. Finally, in the second control period, the stability of the carbon dioxide flow regulation link corresponding to the late stage of beer brewing and fermentation is analyzed to determine whether there is a need for flow valve compensation optimization, reduce flow fluctuations, and achieve in-depth analysis and precise optimization of the flow regulation link, thereby achieving improved timeliness of carbon dioxide flow regulation corresponding to the beer gas lift hop addition control process.

[0010] 2. The effectiveness of the signal conversion process of the current signal is analyzed through the acquired signal conversion data, and the proportional difference between the signal conversion data and the preset signal conversion data in the database is obtained. At the same time, the proportional difference results are corrected and processed in combination with the signal conversion data correction factor. Coupled processing is performed to obtain the signal conversion effectiveness interference index, accurately capture problems such as signal harmonic component distortion, time domain fluctuation anomalies, and excessive noise energy, and improve the accuracy of signal anomaly identification. By converting complex signal features into intuitive quantitative values, quantitative evaluation of the current signal conversion process and refined hierarchical control of signal quality are realized, reducing the impact of signal problems on carbon dioxide flow.

[0011] 3. By analyzing the accuracy of the carbon dioxide flow state recognition process, the gas phase concentration and liquid phase concentration of carbon dioxide in the beer fermentation tank at the end of the first control period are obtained, and compared with the set gas phase concentration and liquid phase concentration differences respectively, the gas phase concentration fraction and liquid phase concentration fraction are obtained and summed and averaged to obtain the state recognition accuracy interference index. This two-dimensional analysis mode can accurately capture the coupled changes in the gas and liquid phase concentrations. When the gas phase concentration increases, the system can synchronously monitor the liquid phase concentration, thereby quickly locating problems such as fermentation metabolism abnormalities or fluctuations in gas lift efficiency. Compared with single-parameter monitoring, the accuracy of concentration anomaly recognition is improved, thereby realizing the conversion of complex multi-parameter influencing factors into intuitive quantitative data and improving the monitorability of carbon dioxide concentration errors. BRIEF DESCRIPTION OF THE DRAWINGS

[0012] Figure 1 A flow chart of a method for controlling beer hop addition by gas stripping based on parameter self-regulation provided in an embodiment of the present application; Figure 2 Flowchart of the acquisition signal conversion process provided in the embodiment of the present application; Figure 3 A flow chart of the flow state identification process provided in an embodiment of the present application; Figure 4 A flow chart of the flow stability identification process provided in an embodiment of the present application. DETAILED DESCRIPTION

[0013] The embodiment of the present application solves the problem of low accuracy in evaluating the hop aroma absorption rate of beer caused by imbalance in carbon dioxide flow regulation corresponding to the beer gas stripping hop addition control process in the prior art by providing a beer gas stripping hop addition control method and device based on parameter self-adjustment. The method collects the current signal of the flow sensor corresponding to the early stage of beer brewing and fermentation in real time, and analyzes the effectiveness of the signal conversion process of the current signal based on the acquired signal conversion data to determine whether there is a need to optimize the signal monitoring parameters. If it is determined that the signal conversion is qualified, the carbon dioxide flow control period is obtained and the effectiveness analysis of the carbon dioxide flow control is performed: in the first control period, the accuracy analysis of the carbon dioxide flow state recognition process corresponding to the middle stage of beer brewing and fermentation is performed to determine whether there is a need to correct the flow abnormality. If the recognition accuracy is determined to be qualified, a stability analysis of the carbon dioxide flow regulation link corresponding to the late stage of beer brewing and fermentation is performed in the second control period to determine whether there is a need for flow valve compensation optimization, thereby improving the timeliness of carbon dioxide flow regulation corresponding to the beer stripping and hop addition control process.

[0014] The technical solution in the embodiment of the present application is to solve the problem of low accuracy of beer hop aroma absorption rate assessment caused by imbalance in carbon dioxide flow regulation corresponding to the beer stripping hop addition control process. The overall idea is as follows: The effectiveness analysis results of the current signal conversion process are used to determine whether signal monitoring parameters should be optimized. Then, the flow state recognition accuracy is analyzed to determine whether flow anomaly correction should be performed. Finally, the flow regulation stability analysis is performed to determine whether flow valve compensation optimization should be performed. This achieves the effect of improving the timeliness of carbon dioxide flow regulation corresponding to the beer stripping and hop addition control process.

[0015] In order to better understand the above technical solution, the above technical solution will be described in detail below with reference to the accompanying drawings and specific implementation methods.

[0016] like Figure 1As shown, it is a flow chart of a beer stripping hop addition control method based on parameter self-regulation provided in an embodiment of the present application, the method comprising the following steps: real-time acquisition of the current signal of the flow sensor corresponding to the early stage of beer brewing and fermentation, and at the same time, performing an effectiveness analysis on the signal conversion process of the current signal based on the acquired signal conversion data to determine whether there is a need for signal monitoring parameter optimization, where the signal monitoring parameter optimization means improving the conversion efficiency of the current signal by adjusting the signal sampling frequency and the signal filtering strength; if it is determined that the signal conversion is qualified, obtaining the carbon dioxide flow control period and performing a carbon dioxide flow control effectiveness analysis: in the first control period, performing an accuracy analysis on the carbon dioxide flow state recognition process corresponding to the middle stage of beer brewing and fermentation to determine whether there is a need for flow anomaly correction, where the flow anomaly correction means improving the state recognition efficiency of the carbon dioxide flow by adjusting the temperature and chemical polarity of the beer fermentation tank; if it is determined that the recognition accuracy is qualified, performing a stability analysis on the carbon dioxide flow regulation link corresponding to the late stage of beer brewing and fermentation in the second control period to determine whether there is a need for flow valve compensation optimization, where the flow valve compensation optimization means improving the regulation stability of the carbon dioxide flow by correcting the valve flow overshoot and adjusting the gas temperature.

[0017] In this embodiment, during the signal acquisition process, the signal conversion data of the early fermentation stage is collected in real time and the effectiveness of this process is analyzed, which reduces the signal monitoring error and realizes the precise control of the signal conversion link; the first control period focuses on the middle fermentation stage, and by adopting the gas phase concentration and gas-liquid concentration correlation analysis model, the influence of the gas-liquid equilibrium change on the flow rate is dynamically captured, the flow deviation range is reduced, and the precise monitoring and evaluation of the carbon dioxide flow state is realized; the second control period is for the late fermentation stage, and by quantitatively analyzing the flow fluctuation amplitude and frequency fluctuation value, the system gives priority to correcting the valve overshoot, and at the same time links the gas temperature adjustment to reduce the flow fluctuation, thereby realizing the in-depth analysis and precise optimization of the flow regulation link, and through three stages of adaptive adjustment, the timeliness of the carbon dioxide flow regulation corresponding to the beer gas lift and hop addition control process is improved.

[0018] Furthermore, the effectiveness of the signal conversion process of the current signal is analyzed based on the acquired signal conversion data. The specific steps are: at the end of the signal conversion period, the proportional difference between the signal conversion data and the preset signal conversion data in the database is obtained, and at the same time, the proportional difference results are corrected in combination with the signal conversion data correction factor, and the corrected results are coupled to obtain the signal conversion effectiveness interference index; the signal conversion data includes signal harmonic components, time domain fluctuation amplitude and noise energy amplitude, the preset signal conversion data includes preset signal harmonic components, preset time domain fluctuation amplitude and preset noise energy amplitude, the signal data conversion correction factor includes signal harmonic component correction factor, time domain fluctuation amplitude correction factor and noise energy amplitude correction factor, and the signal conversion effectiveness interference index represents the quantitative data of the degree of influence of the signal conversion data on the current signal conversion efficiency.

[0019] Specifically, the specific limiting expression of the signal conversion effectiveness interference index Y is: Where, Y represents the signal conversion effectiveness interference index corresponding to the current signal of the flow sensor at the early stage of beer brewing and fermentation at the end of the signal conversion period, Y1 represents the signal harmonic component score corresponding to the current signal of the flow sensor at the early stage of beer brewing and fermentation at the end of the signal conversion period, Y2 represents the time domain fluctuation amplitude score corresponding to the current signal of the flow sensor at the early stage of beer brewing and fermentation at the end of the signal conversion period, and Y3 represents the noise energy amplitude score corresponding to the current signal of the flow sensor at the early stage of beer brewing and fermentation at the end of the signal conversion period.

[0020] Among them, the specific limiting expression of the signal harmonic component fraction Y1 is: , the specific limiting expression of the time domain fluctuation amplitude fraction Y2 is: , the specific limiting expression of the noise energy amplitude fraction Y3 is: , where Indicates the correction amount of the signal harmonic component. N1 represents the signal harmonic component corresponding to the current signal of the flow sensor at the end of the signal conversion period in the early stage of beer brewing and fermentation. N10 represents the preset signal harmonic component. The preset signal harmonic component is represented by the sum and average of the historical signal harmonic components at the end of the historical signal conversion period in the database. Indicates the time domain fluctuation amplitude correction amount, N2 indicates the time domain fluctuation amplitude corresponding to the current signal of the flow sensor at the end of the signal conversion period in the early stage of beer brewing and fermentation, and N20 indicates the preset time domain fluctuation amplitude. The preset time domain fluctuation amplitude is represented by the sum and average of the historical time domain fluctuation amplitudes at the end of the historical signal conversion period in the database. It represents the noise energy amplitude correction amount, N3 represents the noise energy amplitude corresponding to the current signal of the flow sensor at the end of the signal conversion period in the early stage of beer brewing and fermentation, and N30 represents the preset noise energy amplitude. The preset noise energy amplitude is represented by the sum and average of the historical noise energy amplitudes at the end of the historical signal conversion period in the database.

[0021] Among them, the signal harmonic component correction factor, the time domain fluctuation amplitude correction factor and the noise energy amplitude correction factor are respectively the influence degrees of the signal harmonic component score, the time domain fluctuation amplitude score and the noise energy amplitude score preset in the database on each stage link. Specifically, the database stores preset correction factors corresponding to the signal harmonic component score, the time domain fluctuation amplitude score and the noise energy amplitude score. There is a preset mapping relationship between these correction values ​​and the signal harmonic component score, the time domain fluctuation amplitude score and the noise energy amplitude score. The signal harmonic component score, the time domain fluctuation amplitude score and the noise energy amplitude score can be input into this mapping relationship to obtain the corresponding correction amount.

[0022] In this example, the signal harmonic component correction factor, the time domain fluctuation amplitude correction factor, and the noise energy amplitude correction factor generally range from 0 to 1, and the sum of the three is 1.

[0023] In this embodiment, the signal conversion effectiveness interference index increases with the increase of the signal harmonic component, time domain fluctuation amplitude and noise energy amplitude, wherein noise is a random signal that is superimposed on the original signal. In the time domain, noise will make the waveform of the signal irregular and increase the fluctuation amplitude of the signal, thereby increasing the time domain fluctuation amplitude. In the frequency domain, noise will be distributed over a wider frequency range, which may mask or interfere with the harmonic components in the signal, making the detection and analysis of the signal harmonic components difficult, and may even introduce false harmonic components, thereby affecting the signal conversion efficiency. By clarifying the coupling influence relationship between noise, harmonic components and time domain fluctuation amplitude, the system can predict the trend of signal quality degradation and realize the improvement of current signal conversion efficiency during the signal conversion process.

[0024] like Figure 2As shown, it is a flow chart of the acquisition signal conversion process provided by an embodiment of the present application. The specific design logic is: first, the effectiveness of the conversion process of the real-time acquisition electrical signal is analyzed, and whether the actual signal conversion effectiveness interference index is greater than the preset signal conversion effectiveness interference index is determined to determine whether there is a need for signal monitoring parameter optimization and decide on subsequent operations; if the acquired signal conversion effectiveness interference index is greater than the preset signal conversion effectiveness interference index, the signal sampling frequency is adjusted, and then it is determined whether it is not greater than the preset signal conversion effectiveness interference index, and the signal filtering intensity is continued to be adjusted, and it is determined again. If it is still greater than the preset signal conversion effectiveness interference index, a signal monitoring and early warning is performed, thereby realizing process control of signal monitoring parameter optimization and abnormal early warning.

[0025] It is further understood that to determine whether there is a need for signal monitoring parameter optimization, the specific steps are: based on the obtained signal conversion effectiveness interference index and the signal conversion effectiveness interference index preset in the database, determine whether there is a need for signal monitoring parameter optimization: if the obtained signal conversion effectiveness interference index is not greater than the signal conversion effectiveness interference index preset in the database, it is determined that there is no need for signal monitoring parameter optimization, otherwise it is determined that there is a need for signal monitoring parameter optimization and signal monitoring parameter optimization is performed; the specific process of signal monitoring parameter optimization is: based on the mapping relationship between the obtained signal conversion effectiveness interference index deviation and the signal sampling frequency adjustment value in the database, the actual signal sampling frequency adjustment value is obtained, which is used to prompt the signal monitoring controller to slow down the signal sampling speed based on the obtained actual signal sampling frequency adjustment value to reduce the data processing burden. The signal conversion effectiveness interference index deviation represents the difference between the preset signal conversion effectiveness interference index and the obtained signal conversion effectiveness interference index; if the signal conversion effectiveness interference index re-obtained after a signal sampling frequency adjustment is not greater than the preset signal conversion effectiveness interference index, the signal sampling frequency adjustment is completed and accuracy analysis is performed, otherwise the signal filtering strength adjustment is performed, and the preset signal conversion effectiveness interference index is represented by the result of summing and averaging the historical signal conversion effectiveness interference indicators at the end of the historical signal conversion period in the database.

[0026] Among them, the specific process of signal filter strength adjustment is: based on the mapping relationship between the signal conversion effectiveness interference index deviation re-obtained after a signal sampling frequency adjustment and the signal filter strength adjustment value in the database, the actual signal filter strength adjustment value is obtained, which is used to prompt the signal monitoring controller to reduce the interference rate in the signal conversion process based on the actual signal filter strength adjustment value obtained; if the signal conversion effectiveness interference index re-obtained after a signal filter strength adjustment is not greater than the preset signal conversion effectiveness interference index, the signal monitoring parameter optimization is completed and the accuracy analysis is performed, otherwise a signal monitoring early warning is performed.

[0027] In this embodiment, after obtaining the actual signal filter strength adjustment value, the signal monitoring controller first parses it into an executable filter parameter configuration instruction. Subsequently, the signal monitoring controller sends an adjustment instruction to the signal conditioning module through an internal communication interface (such as SPI, I2C or CAN bus), and dynamically modifies the cutoff frequency, gain or filter coefficient of the filter circuit (such as the RC time constant of the low-pass filter). It can suppress and filter the noise and interference components in the signal in a targeted manner, and realize precise adaptive adjustment of the filter parameters. This example can specifically reduce signal distortion caused by factors such as electromagnetic interference and environmental noise, reduce the interference rate in the signal conversion process, and shorten the average response time of signal abnormalities through the combination of dynamic adjustment and early warning mechanism, effectively avoiding the risk of misjudgment of carbon dioxide flow due to signal distortion.

[0028] Furthermore, an accuracy analysis of the carbon dioxide flow state recognition process corresponding to the middle stage of beer brewing fermentation is conducted, and the specific steps are as follows: obtaining the gas phase concentration and liquid phase concentration of carbon dioxide in the corresponding beer fermentation tank at the end of the first control period, synchronously obtaining the set gas phase concentration and liquid phase concentration from the database, and comparing the differences respectively to obtain a gas phase concentration score and a liquid phase concentration score, the gas phase concentration score represents the ratio of the gas phase concentration of carbon dioxide in the corresponding beer fermentation tank at the end of the first control period to the set gas phase concentration, the set gas phase concentration is represented by the sum and average of the historical gas phase concentrations at the end of the first control period in the database, the liquid phase concentration score represents the ratio of the liquid phase concentration of carbon dioxide in the corresponding beer fermentation tank at the end of the first control period to the set liquid phase concentration, the set liquid phase concentration is represented by the sum and average of the historical liquid phase concentrations at the end of the first control period in the database; the gas phase concentration score and the liquid phase concentration score are summed and averaged to obtain a state recognition accuracy interference index, which represents quantitative data on the degree of influence of the gas phase concentration and the liquid phase concentration on the accuracy of carbon dioxide flow state recognition.

[0029] It should be understood that in the accuracy analysis of this example, the gas phase concentration and liquid phase concentration of carbon dioxide in the beer fermentation tank at the end of the first control period are obtained and compared with the set concentration obtained by summing and averaging historical data. Due to the vigorous fermentation metabolism, the obtained gas phase concentration fraction and liquid phase concentration fraction are often large, that is, the state recognition accuracy interference index increases with the increase of the gas phase concentration fraction and the liquid phase concentration fraction. This fully shows that under conditions of vigorous fermentation metabolism, the greater the gas phase concentration and liquid phase concentration, the stronger the interference to the accuracy of carbon dioxide flow state recognition.

[0030] Specifically: Under the situation of vigorous fermentation metabolism, microbial activity is extremely intense, and carbon dioxide will be produced continuously and in large quantities. At this time, the concentration of carbon dioxide in the gas phase will rise rapidly, quickly breaking the original relatively stable dynamic equilibrium state between the gas and liquid phases. The carbon dioxide in the liquid phase will diffuse into the gas phase in large quantities according to the concentration gradient, trying to re-establish balance, but the carbon dioxide produced by vigorous metabolism is endless, causing the gas phase concentration to continue to rise.

[0031] This example significantly improved the state monitoring accuracy of the mid-fermentation gas stripping process through accuracy analysis of the carbon dioxide flow state. This method abandons the limitations of single-parameter evaluation, simultaneously collects gaseous carbon dioxide and liquid carbon dioxide concentrations, and performs quantitative analysis of the differences with preset standards. It can comprehensively capture abnormal concentration fluctuations caused by changes in fermentation metabolism and gas stripping efficiency. The state recognition accuracy interference index is calculated by weighted average of the gas phase concentration and liquid phase concentration fractions, converting complex multi-parameter influencing factors into intuitive quantitative data, thereby improving the monitorability of carbon dioxide concentration errors.

[0032] like Figure 3 As shown, it is a flow state identification process flow chart provided in an embodiment of the present application. The specific design logic is: after the validity analysis of the signal conversion data, the accuracy of the carbon dioxide flow state identification process is analyzed in the first control period. If the state identification accuracy interference index is not greater than the preset state identification accuracy interference index, it is determined that there is no flow abnormality correction need and the flow temperature analysis is performed; if it is not satisfied, it is determined that there is a flow abnormality correction need and the beer fermentation tank temperature is adjusted. After adjustment, it is judged again. If the adjusted index is still greater than the preset state identification accuracy interference index, a chemical polarity adjustment warning is sent, thereby realizing process control of carbon dioxide flow state identification and fermentation tank temperature adjustment.

[0033] What needs to be further understood is that the specific steps for determining whether there is a need for flow anomaly correction are as follows: based on the obtained state recognition accuracy interference index and the preset state recognition accuracy interference index in the database, determine whether there is a need for flow anomaly correction: if the obtained state recognition accuracy interference index is not greater than the preset state recognition accuracy interference index, it is determined that there is no need for flow anomaly correction and a stability analysis is performed; otherwise, it is determined that there is a need for flow anomaly correction and flow anomaly correction is performed. The preset state recognition accuracy interference index is represented by the sum and average of the historical state recognition accuracy interference indicators at the end of the first historical control period in the database.

[0034] The specific process of flow anomaly correction is: based on the obtained state recognition accuracy interference index deviation and carbon dioxide release speed deviation, the actual beer fermenter temperature adjustment value is obtained by mapping in the database, which is used to prompt the temperature monitoring terminal to reduce the temperature fluctuation amplitude in the fermenter based on the obtained actual beer fermenter temperature adjustment value, so as to improve the flow utilization rate. The state recognition accuracy interference index deviation represents the difference between the preset state recognition accuracy interference index and the obtained state recognition accuracy interference index. If the state recognition accuracy interference index obtained after the first beer fermenter temperature adjustment is not greater than the preset state recognition accuracy interference index, the beer fermenter temperature adjustment is completed and the stability analysis is performed, otherwise the chemical polarity adjustment instruction is sent. The chemical polarity adjustment instruction is used to prompt the preset personnel to adjust the actual chemical polarity according to the actual chemical polarity adjustment value obtained after the first beer fermenter temperature adjustment, so as to improve the dissolution rate of carbon dioxide in gas-liquid two-phase.

[0035] In the embodiment, the temperature adjustment value is obtained by double association mapping-adaptive weight algorithm, which forms a close cooperative working mechanism with the temperature monitoring terminal. Specifically, the algorithm first constructs a two-dimensional mapping database of state recognition accuracy interference index deviation and carbon dioxide release speed deviation based on historical production data, and establishes a nonlinear relationship model between the two by using linear regression algorithm. When the temperature monitoring terminal collects the temperature data in the fermenter and transmits it to the system, the system will analyze the state recognition accuracy interference index deviation synchronously. When the system detects the deviation, it quickly locates the corresponding carbon dioxide release speed deviation reference value in the database through interpolation algorithm, realizing the quick conversion from data difference to adjustment strategy.

[0036] The example is based on the quantitative mapping relationship between the state recognition accuracy interference index deviation and the carbon dioxide release speed, and innovatively takes temperature adjustment as the primary intervention means. By accurately reducing the temperature fluctuation of the fermenter, the imbalance of carbon dioxide flow caused by temperature anomaly is effectively suppressed, and the flow utilization rate is improved. The process sets a hierarchical decision mechanism. When the temperature adjustment does not achieve the expected effect, the system automatically triggers the chemical polarity adjustment instruction to prompt the preset personnel to improve the dissolution rate of carbon dioxide in gas-liquid two-phase according to the actual chemical polarity adjustment value.

[0037] Furthermore, a stability analysis is conducted on the actuator adjustment link of the carbon dioxide flow corresponding to the late stage of beer brewing and fermentation. The specific steps are: obtaining the flow fluctuation amplitude and flow frequency fluctuation value of the carbon dioxide in the beer fermentation tank at the end of the second control period, and simultaneously obtaining the set flow fluctuation amplitude and flow frequency fluctuation value from the database, and comparing the differences respectively to obtain the flow fluctuation amplitude score and the flow frequency fluctuation value score. The flow fluctuation amplitude score represents the ratio of the flow fluctuation amplitude of the carbon dioxide in the beer fermentation tank at the end of the second control period to the set flow fluctuation amplitude, and the flow frequency fluctuation value score represents the ratio of the flow frequency fluctuation value of the carbon dioxide in the beer fermentation tank at the end of the second control period to the set flow frequency fluctuation value; the flow fluctuation amplitude score and the flow frequency fluctuation value score are summed and averaged to obtain a flow regulation stability interference index. The flow regulation stability interference index represents quantitative data on the degree of influence of the flow fluctuation amplitude and flow frequency fluctuation value on the stability of carbon dioxide flow regulation. The set flow fluctuation amplitude and flow frequency fluctuation value are respectively represented by the sum and average of the historical flow fluctuation amplitude and historical flow frequency fluctuation value at the end of the historical second control period in the database.

[0038] In this embodiment, the flow regulation stability interference index increases with the increase of the flow fluctuation amplitude and the flow frequency fluctuation value, wherein the flow fluctuation amplitude represents the difference between the maximum and minimum values ​​of the historical carbon dioxide flow in the corresponding beer fermentation tank during the historical second control period, and the flow frequency fluctuation value represents the number of fluctuations of the carbon dioxide flow in the beer fermentation tank during the historical second control period; there is a significant coupling relationship between the fluctuation amplitude of the carbon dioxide flow and the frequency fluctuation value. Excessive flow fluctuation amplitude is often accompanied by abnormal changes in frequency. When adjusting the flow, it will not only cause the flow value to increase in a short period of time, but also cause the frequency of flow changes to increase; conversely, abnormal fluctuations in flow frequency will also aggravate the instability of the amplitude. If the system's response frequency to flow control does not match the actual demand in the fermentation tank, it will cause the carbon dioxide flow to oscillate repeatedly near the set value, further increasing the fluctuation amplitude.

[0039] This example simultaneously collects flow fluctuation amplitude and frequency fluctuation values, which can comprehensively monitor abnormal flow fluctuations and improve the accuracy of stability assessment. By quantifying the difference between the measured value and the preset standard, it is converted into an intuitive fluctuation amplitude score and frequency score, and then the stability index is obtained by weighted averaging. This realizes the quantitative traceability of multi-parameter influences, improves error traceability, and reduces the frequency fluctuation error by dynamically adjusting the flow fluctuation amplitude.

[0040] like Figure 4As shown, it is a flow stability identification process flow chart provided in an embodiment of the present application. The specific design logic is: after the accuracy analysis of the carbon dioxide flow state identification process, the stability of the actuator adjustment link of the carbon dioxide flow is analyzed in the second control period. If the flow adjustment stability interference index is not greater than the preset flow adjustment stability interference index, it is determined that there is no flow valve compensation optimization demand and a monitoring instruction for the next carbon dioxide flow control period is sent; if it is not satisfied, it is determined that there is a flow valve compensation optimization demand and flow valve compensation optimization is performed. After adjustment, it is judged again. If the adjusted index is still greater than the preset flow adjustment stability interference index, a gas temperature adjustment abnormality warning instruction is sent to further improve the flow stability.

[0041] What needs to be further understood is that the specific steps for determining whether there is a need for flow valve compensation optimization are as follows: determining whether there is a need for flow valve compensation optimization based on the obtained flow regulation stability interference index and the flow regulation stability interference index preset in the database: if the obtained flow regulation stability interference index is not greater than the preset flow regulation stability interference index, it is determined that there is no need for flow valve compensation optimization and a monitoring instruction for the next carbon dioxide flow control period is sent; otherwise, it is determined that there is a need for flow valve compensation optimization and flow valve compensation optimization is performed. The preset flow regulation stability interference index is represented by the sum and average of the historical flow regulation stability interference indicators at the end of the historical second control period in the database.

[0042] The specific process of flow valve compensation optimization is as follows: based on the mapping relationship between the obtained flow regulation stability interference index deviation and the valve flow overshoot correction value in the database, an actual valve flow overshoot correction value is obtained. The correction value is used to prompt the flow monitoring terminal to shorten the flow regulation transition time based on the obtained actual valve flow overshoot correction value, thereby improving the sensitivity of the valve opening to the control signal. The flow regulation stability interference index deviation represents the difference between the preset flow regulation stability interference index and the obtained flow regulation stability interference index. If the flow regulation stability interference index re-obtained after the valve flow overshoot correction optimization is not greater than the preset flow regulation stability interference index, the valve flow overshoot correction optimization is completed and a monitoring instruction for the next carbon dioxide flow control period is issued. Otherwise, a gas temperature regulation abnormality warning instruction is issued. The gas temperature regulation abnormality warning instruction is used to prompt the preset personnel to reduce the impact rate on carbon dioxide density and viscosity based on the obtained gas temperature adjustment value to improve flow stability. The gas temperature adjustment value represents the result obtained by mapping the flow regulation stability interference index deviation re-obtained after the valve flow overshoot correction optimization into the database.

[0043] In this embodiment, the flow monitoring terminal is adjusted through a built-in adaptive control algorithm. The adaptive control algorithm is used to dynamically track the changing trend of the flow regulation stability interference index. By combining the mapping relationship between the valve flow overshoot correction amount and the flow regulation stability interference index deviation in the database, the PID parameters (proportional, differential, integral) are dynamically optimized to obtain the actual valve flow overshoot correction amount, effectively shortening the transition time of the flow regulation and improving the response sensitivity of the valve opening to the control signal.

[0044] This example improves the accuracy of valve anomaly identification by quantifying the combined deviation of flow fluctuation amplitude and frequency into intuitive numerical values. When the stability index is detected to exceed the preset threshold, the valve control parameters are precisely adjusted based on the mapping relationship between the deviation value and the valve overshoot correction amount, shortening the flow regulation transition time, effectively reducing flow overshoot problems caused by valve hysteresis and response delay, and improving the response sensitivity of the valve opening to the control signal. If the initial compensation optimization does not achieve the expected results, the gas temperature regulation abnormality warning is automatically triggered. By adjusting the temperature parameters to optimize the carbon dioxide density and viscosity characteristics, the flow stability is further improved.

[0045] An embodiment of the present application provides a beer stripping hop addition control device based on parameter self-regulation, including: a signal monitoring controller, a temperature monitoring controller, a flow monitoring controller, a digital signal processor, an oscilloscope, a power spectrum density analyzer, an infrared gas sensor, a dissolved gas electrode, a thermal mass flowmeter and a spectrum analyzer; the signal monitoring controller is used to adjust the signal sampling frequency and signal filtering strength; the temperature monitoring controller is used to adjust the temperature of the beer fermentation tank; the flow monitoring controller is used to adjust the valve flow overshoot; the digital signal processor is used to monitor the signal harmonic component; the oscilloscope is used to monitor the time domain fluctuation amplitude; the power spectrum density analyzer is used to monitor the noise energy amplitude; the infrared gas sensor is used to monitor the gas phase concentration; the dissolved gas electrode is used to monitor the liquid phase concentration; the thermal mass flowmeter is used to monitor the flow fluctuation amplitude; and the spectrum analyzer is used to monitor the flow frequency fluctuation value.

[0046] It should be understood that the memory in the embodiments of the present invention may be a volatile memory or a non-volatile memory, or may include both volatile and non-volatile memories. Among them, the non-volatile memory may be a read-only memory (ROM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), an electrically erasable programmable read-only memory (EEPROM), or a flash memory. The volatile memory may be a random access memory (RAM), which is used as an external cache. By way of example and not limitation, many forms of random access memory (RAM) are available, such as static RAM (SRAM), dynamic random access memory (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDR SDRAM), enhanced SDRAM (ESDRAM), synchronous link DRAM (SLDRAM), and direct rambus RAM (DR RAM).

[0047] The above embodiments can be implemented in whole or in part via software, hardware (e.g., circuits), firmware, or any other combination thereof. When implemented using software, the above embodiments can be implemented in whole or in part in the form of a computer program product. The computer program product comprises one or more computer instructions or computer programs. When loaded or executed on a computer, the processes or functions described in accordance with the embodiments of the present invention are fully or partially performed. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another. For example, the computer instructions can be transmitted from one website, computer, server, or data center to another website, computer, server, or data center via wired means (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium accessible by a computer or a data storage device such as a server or data center that contains a collection of one or more available media. The available medium can be magnetic media (e.g., floppy disks, hard disks, magnetic tapes), optical media (e.g., DVDs), or semiconductor media. The semiconductor media can be a solid-state drive.

[0048] It should be understood that the term "and / or" as used herein simply describes a relationship between associated objects, indicating that three possible relationships exist. For example, "A and / or B" can represent: A alone, A and B together, or B alone. A and B can be singular or plural. Furthermore, the character " / " as used herein generally indicates an "or" relationship between the associated objects, but it may also indicate an "and / or" relationship. For specific understanding, please refer to the context.

[0049] In this disclosure, "at least one" means one or more, and "plurality" means two or more. "At least one of the following" or similar expressions refers to any combination of these items, including any combination of single or plural items. For example, "at least one of a, b, or c" can mean: a, b, c, ab, ac, bc, or abc, where a, b, and c can be single or plural.

[0050] It should be understood that in various embodiments of the present invention, the size of the serial numbers of the above-mentioned processes does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present invention.

[0051] Those skilled in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professionals and technicians can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of the present invention.

[0052] Those skilled in the art will clearly understand that, for the convenience and brevity of description, the specific working processes of the above-described equipment, devices and units can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0053] In the several embodiments provided by the present invention, it should be understood that the disclosed devices, apparatuses and methods can be implemented in other ways. For example, the device embodiments described above are merely illustrative. For example, the division of the units is merely a logical function division. In actual implementation, there may be other division methods, such as multiple units or components can be combined or integrated into another device, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interface, indirect coupling or communication connection of the device or unit, which can be electrical, mechanical or other forms.

[0054] The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of these units may be selected to achieve the purpose of this embodiment according to actual needs.

[0055] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.

[0056] If the functions are implemented as software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the portion that contributes to the prior art, or the portion of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions for enabling a computer device (which can be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in various embodiments of the present invention. The aforementioned storage media include various media that can store program code, such as USB flash drives, mobile hard drives, read-only memories (ROM), random access memories (RAM), magnetic disks, or optical disks.

[0057] The above description is merely a specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any modifications or substitutions that can be easily conceived by a person skilled in the art within the technical scope disclosed in the present invention should be included in the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be based on the scope of protection of the claims.

Claims

1. A method for controlling beer hop addition by air stripping based on parameter self-regulation, characterized in that: The following steps are involved: S1, real-time collection of current signals from a flow sensor corresponding to the early stage of beer brewing and fermentation, and analysis of the effectiveness of the signal conversion process of the current signal based on the acquired signal conversion data to determine whether there is a need for signal monitoring parameter optimization. The signal monitoring parameter optimization refers to improving the conversion efficiency of the current signal by adjusting the signal sampling frequency and signal filtering strength; S2: If the signal conversion is determined to be qualified, the CO2 flow control period is obtained and the effectiveness of the CO2 flow control is analyzed: S21, during a first control period, performing an accuracy analysis on a carbon dioxide flow rate state recognition process corresponding to a mid-stage of beer brewing and fermentation to determine whether flow anomaly correction is required, wherein the flow anomaly correction involves adjusting the temperature and chemical polarity of the beer fermentation tank to improve the efficiency of carbon dioxide flow rate state recognition; S22. If it is determined that the recognition accuracy is qualified, then in the second control period, a stability analysis is performed on the actuator adjustment link of the carbon dioxide flow corresponding to the late stage of beer brewing and fermentation to determine whether there is a need for flow valve compensation optimization. The flow valve compensation optimization means improving the regulation stability of the carbon dioxide flow by correcting the valve flow overshoot and adjusting the gas temperature.

2. The beer stripping hop addition control method based on parameter self-regulation according to claim 1, characterized in that: The effectiveness analysis of the signal conversion process of the current signal based on the acquired signal conversion data is performed in the following specific steps: At the end of the signal conversion period, the proportional difference between the signal conversion data and the signal conversion data preset in the database is obtained, and the proportional difference results are corrected by combining the signal conversion data correction factor, and the corrected results are coupled to obtain the signal conversion effectiveness interference index; The signal conversion data includes signal harmonic components, time domain fluctuation amplitude and noise energy amplitude, and the signal conversion effectiveness interference index represents quantitative data of the degree of influence of the signal conversion data on the current signal conversion efficiency.

3. The beer stripping hop addition control method based on parameter self-regulation according to claim 2, characterized in that: The specific steps of determining whether there is a need for signal monitoring parameter optimization are as follows: Based on the obtained signal conversion effectiveness interference index and the signal conversion effectiveness interference index preset in the database, determine whether there is a need for signal monitoring parameter optimization: If the obtained signal conversion effectiveness interference index is not greater than the signal conversion effectiveness interference index preset in the database, it is determined that there is no need for signal monitoring parameter optimization; otherwise, it is determined that there is a need for signal monitoring parameter optimization and signal monitoring parameter optimization is performed; The specific process of signal monitoring parameter optimization is as follows: Based on the mapping relationship between the obtained signal conversion effectiveness interference index deviation and the signal sampling frequency adjustment value in the database, an actual signal sampling frequency adjustment value is obtained, which is used to prompt the signal monitoring controller to slow down the signal sampling speed based on the obtained actual signal sampling frequency adjustment value to reduce the data processing burden; If the signal conversion validity interference index reacquired after a signal sampling frequency adjustment is not greater than the preset signal conversion validity interference index, the signal sampling frequency adjustment is completed and accuracy analysis is performed, otherwise the signal filtering strength adjustment is performed.

4. The beer stripping hop addition control method based on parameter self-regulation according to claim 3, characterized in that: The specific process of adjusting the signal filtering strength is as follows: Based on the mapping relationship between the signal conversion effectiveness interference index deviation re-obtained after a signal sampling frequency adjustment and the signal filter strength adjustment value in the database, an actual signal filter strength adjustment value is obtained, which is used to prompt the signal monitoring controller to reduce the interference rate in the signal conversion process based on the actual signal filter strength adjustment value obtained; If the signal conversion effectiveness interference index reacquired after a signal filtering strength adjustment is not greater than the preset signal conversion effectiveness interference index, the signal monitoring parameter optimization is completed and the accuracy analysis is performed, otherwise a signal monitoring warning is performed.

5. The beer stripping hop addition control method based on parameter self-regulation according to claim 1, characterized in that: The accuracy analysis of the carbon dioxide flow state recognition process corresponding to the mid-stage of beer brewing and fermentation is carried out in the following specific steps: Obtain the gas phase concentration and liquid phase concentration of carbon dioxide in the corresponding beer fermentation tank at the end of the first control period, simultaneously obtain the set gas phase concentration and liquid phase concentration from the database, and compare the differences to obtain the gas phase concentration score and liquid phase concentration score; The gas phase concentration fraction and the liquid phase concentration fraction are summed and averaged to obtain a state recognition accuracy interference index, which represents quantitative data on the degree of influence of the gas phase concentration and the liquid phase concentration on the carbon dioxide flow state recognition accuracy.

6. The beer stripping hop addition control method based on parameter self-regulation according to claim 5, characterized in that: The specific steps for determining whether there is a need to correct abnormal traffic flow are as follows: Based on the obtained state recognition accuracy interference index and the preset allowable range of the state recognition accuracy interference index in the database, determine whether there is a need for flow anomaly correction: If the obtained state recognition accuracy interference index is not greater than the preset state recognition accuracy interference index, it is determined that there is no need for flow anomaly correction and a stability analysis is performed; otherwise, it is determined that there is a need for flow anomaly correction and flow anomaly correction is performed.

7. The beer stripping hop addition control method based on parameter self-regulation according to claim 6, characterized in that: The specific process of flow anomaly correction is as follows: Based on the obtained state recognition accuracy, the interference index deviation and the carbon dioxide release rate deviation are mapped in the database to obtain the actual beer fermentation tank temperature adjustment value, which is used to prompt the temperature monitoring terminal to reduce the temperature fluctuation amplitude in the fermentation tank based on the obtained actual beer fermentation tank temperature adjustment value, so as to improve the flow utilization rate; If the state recognition accuracy interference index reacquired after one beer fermentation tank temperature adjustment is not greater than the preset state recognition accuracy interference index, the beer fermentation tank temperature adjustment is completed and the stability analysis is performed, otherwise a chemical polarity adjustment instruction is sent; The chemical polarity adjustment instruction is used to prompt the preset personnel to increase the solubility rate of carbon dioxide in both gas and liquid according to the actual chemical polarity adjustment value obtained after a beer fermentation tank temperature adjustment. The actual chemical polarity adjustment value represents the result obtained by mapping the state recognition accuracy interference index deviation re-obtained after a beer fermentation tank temperature adjustment in the database.

8. The beer stripping hop addition control method based on parameter self-regulation according to claim 1, characterized in that: The stability analysis of the actuator adjustment link of the carbon dioxide flow corresponding to the late stage of beer brewing fermentation is carried out in the following specific steps: Obtain the flow fluctuation amplitude and flow frequency fluctuation value of the carbon dioxide in the beer fermentation tank at the end of the second control period, and simultaneously obtain the set flow fluctuation amplitude and flow frequency fluctuation value from the database, and compare the differences to obtain the flow fluctuation amplitude score and flow frequency fluctuation value score; The flow fluctuation amplitude score and the flow frequency fluctuation value score are summed and averaged to obtain a flow regulation stability interference index, which represents quantitative data on the degree of influence of the flow fluctuation amplitude and the flow frequency fluctuation value on the stability of carbon dioxide flow regulation.

9. The beer stripping hop addition control method based on parameter self-regulation according to claim 8, characterized in that: The specific steps of determining whether there is a need for flow valve compensation optimization are as follows: Based on the obtained flow regulation stability interference index and the flow regulation stability interference index preset in the database, it is determined whether there is a need for flow valve compensation optimization: If the obtained flow regulation stability interference index is not greater than the preset flow regulation stability interference index, it is determined that there is no flow valve compensation optimization requirement and a monitoring instruction for the next carbon dioxide flow control period is sent; otherwise, it is determined that there is a flow valve compensation optimization requirement and flow valve compensation optimization is performed; The specific process of flow valve compensation optimization is as follows: Based on the mapping relationship between the obtained flow regulation stability interference index deviation and the valve flow overshoot correction value in the database, the actual valve flow overshoot correction value is obtained, which is used to prompt the flow monitoring terminal to shorten the flow regulation transition time based on the obtained actual valve flow overshoot correction value, so as to improve the sensitivity of the valve opening to the control signal. If the flow regulation stability interference index re-obtained after the valve flow overshoot correction optimization is not greater than the preset flow regulation stability interference index, the valve flow overshoot correction optimization is completed and a monitoring instruction for the next carbon dioxide flow control period is sent; otherwise, a gas temperature regulation abnormality warning instruction is sent; The gas temperature regulation abnormality warning instruction is used to prompt the preset personnel to reduce the impact rate on carbon dioxide density and viscosity according to the obtained gas temperature regulation value to improve flow stability. The gas temperature regulation value represents the result obtained by mapping the flow regulation stability interference index deviation re-obtained after the valve flow overshoot correction optimization in the database.

10. A device using the beer stripping hop addition control method based on parameter self-adjustment according to any one of claims 1 to 9, characterized in that: include: Signal monitoring controller, temperature monitoring controller, flow monitoring controller, digital signal processor, oscilloscope, power spectrum density analyzer, infrared gas sensor, dissolved gas electrode, thermal mass flowmeter and spectrum analyzer; The signal monitoring controller is used to adjust the signal sampling frequency and signal filtering strength; The temperature monitoring controller is used to regulate the temperature of the beer fermentation tank; The flow monitoring controller is used to regulate the valve flow overshoot; The digital signal processor is used to monitor signal harmonic components; The oscilloscope is used to monitor the time domain fluctuation amplitude; The power spectrum density analyzer is used to monitor the noise energy amplitude; The infrared gas sensor is used to monitor gas phase concentration; The dissolved gas electrode is used to monitor the liquid phase concentration; The thermal mass flowmeter is used to monitor the flow fluctuation amplitude; The spectrum analyzer is used to monitor the flow frequency fluctuation value.

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