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

Abstract

The application discloses a beer gas extraction 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 extraction hop adding control method based on parameter self-adjustment comprises the following steps: beer gas extraction signal conversion; carbon dioxide flow state identification; and carbon dioxide flow regulation.The effectiveness analysis result of the current signal conversion process is used to determine whether signal monitoring parameter optimization is to be performed, then the flow state identification accuracy analysis is performed to determine whether flow abnormality correction is to be performed, and finally the flow regulation stability analysis is performed to determine whether flow valve compensation optimization is to be performed, so that the effect of improving the timeliness of the beer gas extraction hop adding control process corresponding to carbon dioxide flow regulation imbalance is achieved, and the problem of low beer hop aroma absorption rate evaluation accuracy caused by the imbalance of the beer gas extraction hop adding control process corresponding to carbon dioxide flow regulation in the prior art is solved.

Description

Technical Field

[0001] This invention relates to the field of adaptive control system technology, and in particular to a method and apparatus for controlling beer hop addition based on parameter self-adjustment. Background Technology

[0002] Traditional hop addition methods mostly rely on fixed process parameters, making it difficult to adapt to dynamic changes in wort composition, temperature, and pressure during fermentation. This results in low hop utilization and flavor fluctuations. Alternating layer hops, as an emerging hop addition method, offer significantly higher efficiency in transferring non-polar compounds than traditional dry hopping. However, it requires precise control of parameters such as temperature and carbon dioxide flow rate. Alternating layer technology promotes the release of hop aroma compounds by regulating the periodic changes in carbon dioxide pressure, but it necessitates real-time adjustments to parameters such as pressure, time, and gas flow rate to match the needs of each fermentation stage. By constructing a self-regulating system, dynamic optimization of parameters such as temperature and carbon dioxide flow rate during the alternating layer process can be achieved, solving the problems of low transfer efficiency and difficulty in flavor control inherent in traditional techniques.

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

[0004] Specifically, the process involves: adding granulated hops in a specific ratio to the desorption container, raising its temperature to a set value to provide thermodynamic conditions for aroma molecule volatilization; introducing carbon dioxide, an inert gas, at a constant flow rate into the desorption container to effectively wash the hop particles and carry volatile aroma compounds into the gas phase; the aroma-containing gaseous carbon dioxide then enters a low-temperature absorption container, where the temperature is lower than that of the desorption container, creating a temperature gradient that promotes the dissolution of gaseous aroma molecules into the beer; and dynamically adjusting key parameters (such as temperature feedback and flow rate control). Sensors monitor the temperature difference between the desorption and absorption ends in real time, maintaining the thermodynamic driving force through temperature feedback, and adjusting the carbon dioxide flow rate in real time based on the desorption efficiency. Controlling the flow rate prevents excessive flow that could lead to insufficient absorption of aroma molecules.

[0005] In existing technologies, flow sensors, after prolonged use, may be corroded by impurities in the brewing environment, leading to inaccurate measurement data. The system then adjusts based on this inaccurate flow data, requiring additional time to acquire more accurate data. This results in a slow response time for the valve actuator, making it unable to promptly adjust the valve opening according to the system's control commands. Consequently, the carbon dioxide flow cannot quickly and accurately reach the set value. Secondly, during beer brewing, impurities such as hop debris and sediment may accumulate in the pipes, causing partial blockages and affecting carbon dioxide flow. Fluctuations in ambient temperature and pipe pressure also affect the physical properties of carbon dioxide, such as density. Factors such as viscosity, etc., can cause problems if the system does not fully consider changes in air pressure and temperature. Furthermore, during beer brewing, temporary adjustments to brewing process parameters, such as the temperature and pressure of the desorption container, can alter the desorption rate of hop aroma molecules and their carbon dioxide carrying capacity. A temperature sensor monitors the temperature inside the absorption container in real time and maintains a temperature gradient based on feedback signals to ensure efficient dissolution of aroma molecules in the beer. However, the system may not respond promptly to these process adjustments and may continue operating according to the original flow regulation strategy. This can lead to an imbalance in the carbon dioxide flow regulation during the beer hop extraction and addition control process, resulting in inaccurate assessments of the beer's hop aroma absorption rate. Summary of the Invention

[0006] This application provides a method and apparatus for controlling the addition of hops to beer based on parameter self-adjustment. This solves the problem in the prior art where the accuracy of evaluating the beer’s hop aroma absorption rate is not high due to the imbalance in the regulation of carbon dioxide flow rate in the beer hop addition control process. This improves the timeliness of the carbon dioxide flow rate regulation in the beer hop addition control process.

[0007] The embodiment of the present application provides a control method for beer stripping hop addition based on parameter self - adjustment, which includes the following steps: Real - time collect the current signal of the corresponding flow sensor in the early stage of beer brewing fermentation. At the same time, conduct an effectiveness analysis on the signal conversion process of the current signal based on the obtained signal conversion data to determine whether there is a need for signal monitoring parameter optimization. Signal monitoring parameter optimization means improving the conversion efficiency of the current signal by adjusting the signal sampling frequency and signal filtering intensity; If it is determined that the signal conversion is qualified, obtain the carbon dioxide flow control period and conduct an effectiveness analysis of carbon dioxide flow control: In the first control period, conduct an accuracy analysis on the carbon dioxide flow state recognition process corresponding to the middle stage of beer brewing fermentation to determine whether there is a need for flow anomaly correction. Flow anomaly correction means improving the state recognition efficiency of carbon dioxide flow by adjusting the temperature of the beer fermentation tank and chemical polarity; If it is determined that the recognition accuracy is qualified, in the second control period, conduct a stability analysis on the carbon dioxide flow regulation link corresponding to the late stage of beer brewing fermentation to determine whether there is a need for flow valve compensation optimization. Flow valve compensation optimization means improving the regulation stability of carbon dioxide flow by correcting the valve flow overshoot and adjusting the gas temperature.

[0008] The embodiment of the present application provides a control device for beer stripping hop addition based on parameter self - adjustment, including: a signal monitoring controller, a temperature monitoring controller, a flow monitoring controller, a digital signal processor, an oscilloscope, a power spectral 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 regulate the signal sampling frequency and signal filtering intensity; 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 the signal harmonic components; The oscilloscope is used to monitor the time - domain fluctuation amplitude; The power spectral 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; The spectrum analyzer is used to monitor the flow frequency fluctuation value.

[0009] One or more technical solutions provided in the embodiment of the present application have at least the following technical effects or advantages:

[0010] 1. By analyzing the effectiveness of the signal conversion process of the current signal through the acquired signal conversion data, it is possible to determine whether there is a need to optimize the signal monitoring parameters, 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 status identification process corresponding to the middle stage of beer brewing and fermentation is analyzed to determine whether there is a need to correct flow anomalies, reduce the flow deviation range, and achieve precise monitoring and evaluation of carbon dioxide flow status. Finally, in the second control period, the stability of the carbon dioxide flow regulation link corresponding to the later stage of beer brewing and fermentation is analyzed to determine whether there is a need to optimize the flow valve compensation, reduce flow fluctuations, and achieve in-depth analysis and precise optimization of the flow regulation link. This improves the timeliness of carbon dioxide flow regulation in the beer gas extraction and hop addition control process.

[0011] 2. By acquiring signal conversion data, the effectiveness of the current signal conversion process is analyzed. 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 by combining the signal conversion data correction factor and coupled to obtain the signal conversion effectiveness interference index. This accurately captures problems such as signal harmonic component distortion, abnormal time-domain fluctuations, and excessive noise energy, improving the accuracy of signal anomaly identification. By converting complex signal characteristics 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.

[0012] 3. By performing accuracy analysis on the carbon dioxide flow state identification 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. The difference between these concentrations is compared with the set gas phase concentration and liquid phase concentration, and the gas phase concentration fraction and liquid phase concentration fraction are obtained. The summation and averaging are then performed to obtain the state identification accuracy interference index. This dual-dimensional analysis mode can accurately capture the coupled changes in the concentrations of the gas and liquid phases. When the gas phase concentration increases, the system can simultaneously monitor the liquid phase concentration, thereby quickly locating problems such as abnormal fermentation metabolism or fluctuations in gas extraction efficiency. Compared with single-parameter monitoring, this improves the accuracy of concentration anomaly identification, thus transforming complex multi-parameter influencing factors into intuitive quantitative data and improving the monitorability of carbon dioxide concentration errors. Attached Figure Description

[0013] Figure 1 A flowchart of a beer hop addition control method based on parameter self-adjustment provided in an embodiment of this application;

[0014] Figure 2 This is a flowchart of the signal acquisition and conversion process provided in an embodiment of this application;

[0015] Figure 3Flow state identification process flowchart provided by the embodiment of the present application;

[0016] Figure 4 Flow stability identification process flowchart provided by the embodiment of the present application. Detailed implementation manners

[0017] In the embodiment of the present application, by providing a method and device for controlling the addition of hops in beer stripping based on parameter self-regulation, the problem that the evaluation accuracy of the absorption rate of hop aroma by beer is not high due to the imbalance in the adjustment of carbon dioxide flow rate in the process of controlling the addition of hops in beer stripping in the prior art is solved. By collecting the current signal of the flow sensor corresponding to the early stage of beer brewing fermentation in real time, and at the same time, based on the obtained signal conversion data, the effectiveness analysis of the signal conversion process of the current signal is carried out to judge 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 carbon dioxide flow control is carried out: in the first control period, the accuracy analysis of the carbon dioxide flow state identification process corresponding to the middle stage of beer brewing fermentation is carried out to judge whether there is a need to correct abnormal flow.

[0018] If it is determined that the identification accuracy is qualified, then in the second control period, the stability analysis of the carbon dioxide flow adjustment link corresponding to the late stage of beer brewing fermentation is carried out to judge whether there is a need to optimize the flow valve compensation, realizing the improvement of the timeliness of carbon dioxide flow adjustment in the process of controlling the addition of hops in beer stripping.

[0019] The technical solution in the embodiment of the present application aims to solve the problem that the evaluation accuracy of the absorption rate of hop aroma by beer is not high due to the imbalance in the adjustment of carbon dioxide flow rate in the process of controlling the addition of hops in beer stripping. The general idea is as follows:

[0020] Based on the effectiveness analysis result of the current signal conversion process, it is judged whether to optimize the signal monitoring parameters, then the accuracy analysis of the flow state identification is carried out to judge whether to correct abnormal flow, and finally the stability analysis of the flow adjustment is carried out to judge whether to optimize the flow valve compensation, achieving the effect of improving the timeliness of carbon dioxide flow adjustment in the process of controlling the addition of hops in beer stripping.

[0021] To better understand the above technical solution, the above technical solution will be described in detail below in combination with the accompanying drawings of the specification and specific implementation manners.

[0022] Such as Figure 1The diagram shows a flowchart of a parameter-self-adjusting beer hop addition control method based on parameter adjustment, provided in an embodiment of this application. The method includes the following steps: Real-time acquisition of the current signal from the flow sensor corresponding to the early stage of beer brewing and fermentation; simultaneous effectiveness analysis of the signal conversion process based on the acquired signal conversion data to determine if there is a need for signal monitoring parameter optimization. Signal monitoring parameter optimization means improving the conversion efficiency of the current signal by adjusting the signal sampling frequency and signal filtering intensity. If the signal conversion is deemed qualified, a carbon dioxide flow control period is acquired and a carbon dioxide flow control effectiveness analysis is performed: In the first control period, the accuracy of the carbon dioxide flow status identification process corresponding to the middle stage of beer brewing and fermentation is analyzed to determine if there is a need for flow anomaly correction. Flow anomaly correction means improving the status identification efficiency of the carbon dioxide flow by adjusting the temperature and chemical polarity of the beer fermentation tank. If the identification accuracy is deemed qualified, in the second control period, the stability of the carbon dioxide flow regulation process corresponding to the later stage of beer brewing and fermentation is analyzed to determine if there is a need for flow valve compensation optimization. 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.

[0023] In this embodiment, during signal acquisition, real-time acquisition of signal conversion data from the early fermentation stage and effective analysis of this process reduce signal monitoring errors and achieve precise control over the signal conversion stage. The first control period focuses on the middle stage of fermentation. By employing a gas phase concentration and gas-liquid concentration correlation analysis model, the influence of gas-liquid balance changes on flow rate is dynamically captured, reducing the flow rate deviation range and achieving precise monitoring and evaluation of carbon dioxide flow status. The second control period targets the later stage of fermentation. By quantitatively analyzing the amplitude and frequency fluctuations of flow rate fluctuations, the system prioritizes correcting valve overshoot and simultaneously links gas temperature regulation to reduce flow rate fluctuations. This achieves in-depth analysis and precise optimization of the flow rate regulation stage. Through three stages of adaptive regulation, the timeliness of carbon dioxide flow rate regulation corresponding to the beer gas extraction and hop addition control process is improved.

[0024] Furthermore, based on the acquired signal conversion data, an effectiveness analysis is performed on the signal conversion process of the current signal. The specific steps are as follows: 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. At the same time, 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. 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. The signal conversion effectiveness interference index represents the quantitative data of the influence of the signal conversion data on the current signal conversion efficiency.

[0025] Specifically, the specific constraint expression for the signal conversion effectiveness interference index Y is as follows: In the formula, Y represents the signal conversion effectiveness interference index of the current signal of the flow sensor corresponding to the early stage of beer brewing and fermentation at the end of the signal conversion period, Y1 represents the signal harmonic component fraction of the current signal of the flow sensor corresponding to the early stage of beer brewing and fermentation at the end of the signal conversion period, Y2 represents the time domain fluctuation amplitude fraction of the current signal of the flow sensor corresponding to the early stage of beer brewing and fermentation at the end of the signal conversion period, and Y3 represents the noise energy amplitude fraction of the current signal of the flow sensor corresponding to the early stage of beer brewing and fermentation at the end of the signal conversion period.

[0026] The specific limiting expression for the signal harmonic component fraction Y1 is as follows: The specific constraint expression for the time-domain fluctuation amplitude fraction Y2 is: The specific constraint expression for the noise energy amplitude fraction Y3 is: In the formula, This represents the signal harmonic component correction amount. N1 represents the signal harmonic component corresponding to the current signal of the flow sensor in the early stage of beer brewing fermentation at the end of the signal conversion period. N10 represents the preset signal harmonic component, which 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. N2 represents the time-domain fluctuation amplitude correction amount, where N2 represents the time-domain fluctuation amplitude of the current signal from the flow sensor during the early stage of beer brewing fermentation at the end of the signal conversion period, and N20 represents 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. N3 represents the noise energy amplitude correction amount. N3 represents the noise energy amplitude corresponding to the current signal of the flow sensor in the early stage of beer brewing and fermentation at the end of the signal conversion period. N30 represents the preset noise energy amplitude, which 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.

[0027] Among them, the signal harmonic component correction factor, the time domain fluctuation amplitude correction factor, and the noise energy amplitude correction factor are the influence degrees of the signal harmonic component fraction, the time domain fluctuation amplitude fraction, and the noise energy amplitude fraction preset in the database on each stage. Specifically, the database stores preset correction factors corresponding to the signal harmonic component fraction, the time domain fluctuation amplitude fraction, and the noise energy amplitude fraction. There is a preset mapping relationship between these correction values ​​and the signal harmonic component fraction, the time domain fluctuation amplitude fraction, and the noise energy amplitude fraction. The signal harmonic component fraction, the time domain fluctuation amplitude fraction, and the noise energy amplitude fraction can be input into this mapping relationship to obtain the corresponding correction amount.

[0028] In this example, the values ​​of the signal harmonic component correction factor, time domain fluctuation amplitude correction factor, and noise energy amplitude correction factor are typically between 0 and 1, and the sum of the three is 1.

[0029] In this embodiment, the signal conversion effectiveness interference index increases with the increase of signal harmonic components, time-domain fluctuation amplitude, and noise energy amplitude. Noise is a random signal that is superimposed on the original signal. In the time domain, noise makes the signal waveform irregular and increases the signal fluctuation amplitude, thus increasing the time-domain fluctuation amplitude. In the frequency domain, noise is distributed over a wide frequency range and may mask or interfere with the harmonic components in the signal, making the detection and analysis of 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 improve the current signal conversion efficiency during the signal conversion process.

[0030] like Figure 2The diagram shown is a flowchart of the signal acquisition and conversion process provided in this application embodiment. The specific design logic is as follows: First, the effectiveness of the real-time acquired electrical signal conversion process is analyzed. By checking whether the actual signal conversion effectiveness interference index is not greater than the preset signal conversion effectiveness interference index, it is determined whether there is a need for signal monitoring parameter optimization, and subsequent operations are decided. If the acquired signal conversion effectiveness interference index is greater than the preset signal conversion effectiveness interference index, the signal sampling frequency is adjusted. Then, it is checked whether it is not greater than the preset signal conversion effectiveness interference index, and the signal filtering strength is adjusted again. If it is still greater than the preset signal conversion effectiveness interference index, a signal monitoring early warning is issued. This realizes the process control of signal monitoring parameter optimization and abnormal early warning.

[0031] Further understanding is needed regarding the specific steps for determining whether there is a need for signal monitoring parameter optimization: Based on the acquired signal conversion effectiveness interference index and the preset signal conversion effectiveness interference index in the database, determine whether there is a need for signal monitoring parameter optimization. If the acquired signal conversion effectiveness interference index is not greater than the preset signal conversion effectiveness interference index 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 for signal monitoring parameter optimization is as follows: Based on the mapping relationship between the acquired 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. This value is used to prompt the signal monitoring controller to slow down the signal sampling speed based on the acquired 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 acquired signal conversion effectiveness interference index. If the signal conversion effectiveness interference index reacquired 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 is adjusted. The preset signal conversion effectiveness interference index is represented by the sum and average of the historical signal conversion effectiveness interference indices at the end of the historical signal conversion period in the database.

[0032] The specific process for adjusting the signal filtering strength is as follows: Based on the mapping relationship between the deviation of the signal conversion effectiveness interference index re-acquired after a signal sampling frequency adjustment and the signal filtering strength adjustment value in the database, the actual signal filtering strength adjustment value is obtained. This value is used to prompt the signal monitoring controller to reduce the interference rate during the signal conversion process based on the obtained actual signal filtering strength adjustment value. If the signal conversion effectiveness interference index re-acquired after a signal filtering strength adjustment is not greater than the preset signal conversion effectiveness interference index, the signal monitoring parameters are optimized and accuracy analysis is performed; otherwise, a signal monitoring warning is issued.

[0033] In this embodiment, after obtaining the actual signal filtering strength adjustment value, the signal monitoring controller first parses it into an executable filtering parameter configuration instruction. Subsequently, the signal monitoring controller sends the adjustment instruction to the signal conditioning module through an internal communication interface (such as SPI, I2C, or CAN bus) to dynamically modify the cutoff frequency, gain, or filter coefficients (such as the RC time constant of a low-pass filter). This enables targeted suppression and filtering of noise and interference components in the signal, achieving precise adaptive adjustment of the filtering parameters. This example can specifically reduce signal distortion caused by electromagnetic interference, environmental noise, and other factors, reduce the interference rate during signal conversion, and shorten the average response time of signal anomalies through the combination of dynamic adjustment and early warning mechanisms, effectively avoiding the risk of misjudgment of carbon dioxide flow due to signal distortion.

[0034] Furthermore, an accuracy analysis was conducted on the carbon dioxide flow state identification process during the mid-stage of beer brewing fermentation. The specific steps were as follows: The gas phase concentration and liquid phase concentration of carbon dioxide in the beer fermentation tank at the end of the first control period were obtained. Simultaneously, the set gas phase concentration and liquid phase concentration were retrieved from the database, and their differences were compared to obtain gas phase concentration scores and liquid phase concentration scores. The gas phase concentration score represents the ratio of the gas phase concentration of carbon dioxide in the 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 average of 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 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 average of historical liquid phase concentrations at the end of the first control period in the database. The gas phase concentration scores and liquid phase concentration scores were then summed and averaged to obtain a state identification accuracy interference index. This index represents the quantitative data on the combined influence of gas phase concentration and liquid phase concentration on the accuracy of carbon dioxide flow state identification.

[0035] It is important to understand 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 compared with the set concentration obtained by summing and averaging based on 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 interference index of state recognition accuracy increases with the increase of gas phase concentration fraction and liquid phase concentration fraction. This fully demonstrates that under the condition of vigorous fermentation metabolism, the higher the gas phase concentration and liquid phase concentration, the stronger the interference on the accuracy of carbon dioxide flow state recognition.

[0036] Specifically, under conditions of vigorous fermentation metabolism, microbial activity is extremely intense, and carbon dioxide is continuously and massively produced. At this time, the carbon dioxide concentration in the gas phase will rapidly increase, quickly breaking the relatively stable dynamic equilibrium between the gas and liquid phases. Carbon dioxide in the liquid phase will diffuse into the gas phase in large quantities according to the concentration gradient, attempting to re-establish the equilibrium. However, the carbon dioxide produced by vigorous metabolism is continuous, causing the gas phase concentration to rise continuously.

[0037] This example significantly improves the accuracy of state monitoring during the mid-fermentation gas stripping process by analyzing the accuracy of carbon dioxide flow status. This method overcomes the limitations of single-parameter evaluation by simultaneously collecting gaseous and liquid carbon dioxide concentrations and performing quantitative analysis of differences with preset standards. It can comprehensively capture abnormal concentration fluctuations caused by changes in fermentation metabolism and gas stripping efficiency. By calculating the interference index of state identification accuracy through the weighted average of gaseous and liquid concentration fractions, it transforms complex multi-parameter influencing factors into intuitive quantitative data, thereby improving the monitorability of carbon dioxide concentration errors.

[0038] like Figure 3 The diagram shown is a flowchart of the flow status identification process provided in this application embodiment. The specific design logic is as follows: After the signal conversion data validity analysis, the accuracy of the carbon dioxide flow status identification process is analyzed in the first control period. If the status identification accuracy interference index is not greater than the preset status identification accuracy interference index, it is determined that there is no need for flow abnormality correction and flow temperature analysis is performed. If it is not satisfied, it is determined that there is a need for flow abnormality correction and the temperature of the beer fermentation tank is adjusted. After adjustment, it is judged again. If the adjusted index is still greater than the preset status identification accuracy interference index, a chemical polarity adjustment warning is sent, thereby realizing the process control of carbon dioxide flow status identification and fermentation tank temperature adjustment.

[0039] Further understanding is needed regarding the specific steps for determining whether there is a need for traffic anomaly correction: Based on the obtained state identification accuracy interference index and the preset state identification accuracy interference index in the database, determine whether there is a need for traffic anomaly correction: If the obtained state identification accuracy interference index is not greater than the preset state identification accuracy interference index, it is determined that there is no need for traffic anomaly correction and stability analysis is performed; otherwise, it is determined that there is a need for traffic anomaly correction and traffic anomaly correction is performed. The preset state identification accuracy interference index is represented by the sum and average of the historical state identification accuracy interference indices at the end of the first historical control period in the database.

[0040] The specific process for correcting abnormal flow rates is as follows: Based on the deviation of the acquired state recognition accuracy interference index and the deviation of carbon dioxide release rate, the actual temperature adjustment value of the beer fermentation tank is mapped in the database. This value is used to prompt the temperature monitoring terminal to reduce the temperature fluctuation amplitude inside the fermentation tank based on the acquired actual temperature adjustment value, thereby improving flow utilization. The deviation of the state recognition accuracy interference index represents the difference between the preset state recognition accuracy interference index and the acquired state recognition accuracy interference index. If the state recognition accuracy interference index re-acquired after a 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 stability analysis is performed; otherwise, a chemical polarity adjustment command is sent. The chemical polarity adjustment command is used to prompt the preset personnel to improve the solubility of carbon dioxide in both gas and liquid phases based on 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 deviation of the state recognition accuracy interference index re-acquired after a beer fermentation tank temperature adjustment in the database.

[0041] In this embodiment, the temperature regulation value is obtained through a dual-association mapping-adaptive weighting algorithm. This algorithm forms a close collaborative working mechanism with the temperature monitoring terminal. Specifically, the algorithm first constructs a two-dimensional mapping database of the deviation of the state identification accuracy interference index and the deviation of the carbon dioxide release rate based on historical production data. A linear regression algorithm is used to establish a nonlinear relationship model between the two. When the temperature monitoring terminal collects the temperature data in the fermenter in real time and transmits it to the system, the system will synchronously analyze the deviation of the state identification accuracy interference index. The system detects the deviation and quickly locates the corresponding carbon dioxide release rate deviation reference value in the database through an interpolation algorithm, realizing the rapid transformation from data difference to regulation strategy.

[0042] This example innovatively uses temperature regulation as the primary intervention method based on the quantitative mapping relationship between the deviation of the interference index in state recognition accuracy and the carbon dioxide release rate. By precisely reducing the temperature fluctuation of the fermenter, it effectively suppresses the imbalance of carbon dioxide flow caused by abnormal temperature, thereby improving the flow utilization rate. The process is set up with a hierarchical decision-making mechanism. When the temperature regulation does not achieve the expected effect, the system automatically triggers the chemical polarity adjustment command to prompt the preset personnel to increase the solubility of carbon dioxide in the gas-liquid two phases according to the actual chemical polarity adjustment value.

[0043] Furthermore, a stability analysis was conducted on the actuator regulation of carbon dioxide flow during the later stages of beer brewing fermentation. The specific steps were as follows: The flow fluctuation amplitude and frequency fluctuation value of carbon dioxide in the beer fermentation tank at the end of the second control period were obtained. Simultaneously, the set flow fluctuation amplitude and frequency fluctuation values ​​were retrieved from the database, and their differences were compared to obtain flow fluctuation amplitude scores and flow frequency fluctuation value scores. The flow fluctuation amplitude score represents the ratio of the flow fluctuation amplitude of carbon dioxide in the beer fermentation tank at the end of the second control period to the set flow fluctuation amplitude. The flow frequency fluctuation value score represents the ratio of the flow frequency fluctuation value of 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 flow frequency fluctuation value score were summed and averaged to obtain a flow regulation stability interference index. The flow regulation stability interference index represents the quantitative data on the combined influence of flow fluctuation amplitude and flow frequency fluctuation values ​​on the stability of carbon dioxide flow regulation. The set flow fluctuation amplitude and flow frequency fluctuation values ​​were represented by the summed and averaged results of historical flow fluctuation amplitudes and historical flow frequency fluctuation values ​​at the end of historical second control periods in the database.

[0044] In this embodiment, the flow regulation stability interference index increases with the increase of flow fluctuation amplitude and flow frequency fluctuation value. Here, flow fluctuation amplitude represents the difference between the maximum and minimum values ​​of historical carbon dioxide flow in the corresponding beer fermentation tank during the historical second control period, and flow frequency fluctuation value represents the number of fluctuations in carbon dioxide flow in the beer fermentation tank during the historical second control period. There is a significant coupling relationship between the fluctuation amplitude and frequency fluctuation value of carbon dioxide flow. Excessive flow fluctuation amplitude is often accompanied by abnormal frequency changes. When adjusting the flow, not only will the flow value increase in a short period of time, but the frequency of flow change will also increase. Conversely, abnormal fluctuations in flow frequency will also exacerbate the instability of 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 around the set value, further increasing the fluctuation amplitude.

[0045] This example simultaneously collects traffic fluctuation amplitude and frequency fluctuation values, enabling comprehensive monitoring of abnormal traffic fluctuations and improving the accuracy of stability assessment. By quantifying the differences between measured values ​​and preset standards, it transforms them into intuitive fluctuation amplitude and frequency scores, which are then weighted and averaged to obtain a stability index. This achieves quantitative traceability of the impact of multiple parameters, improves error traceability, and reduces frequency fluctuation errors by dynamically adjusting and controlling the traffic fluctuation amplitude.

[0046] like Figure 4The diagram shown is a flowchart of the flow stability identification process provided in this application embodiment. The specific design logic is as follows: After the accuracy analysis of the carbon dioxide flow status identification process, the stability of the actuator adjustment link of the carbon dioxide flow is analyzed in the second control period. If the 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 command for the next carbon dioxide flow control period is sent. If it is not satisfied, it is determined that there is a need for flow valve compensation optimization and flow valve compensation optimization is performed. After adjustment, it is judged again. If the adjusted index is still greater than the preset flow regulation stability interference index, a gas temperature regulation abnormality warning command is sent to further improve flow stability.

[0047] Further understanding is needed regarding the specific steps for determining whether there is a need for flow valve compensation optimization: Based on the acquired flow regulation stability interference index and the preset flow regulation stability interference index in the database, it is determined whether there is a need for flow valve compensation optimization. If the acquired 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 command 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 indices at the end of the historical second control period in the database.

[0048] The specific process for flow valve compensation optimization is as follows: Based on the mapping relationship between the acquired flow regulation stability interference index deviation and the valve flow overshoot correction in the database, the actual valve flow overshoot correction is obtained. This is used to prompt the flow monitoring terminal to shorten the transition time of flow regulation based on the acquired actual valve flow overshoot correction, 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 acquired flow regulation stability interference index. If the flow regulation stability interference index re-acquired 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 the monitoring command for the next carbon dioxide flow control period is sent. Otherwise, a gas temperature regulation abnormality warning command is sent. The gas temperature regulation abnormality warning command is used to prompt the preset personnel to reduce the impact rate on carbon dioxide density and viscosity based on the acquired gas temperature regulation value, thereby improving flow stability. The gas temperature regulation value represents the result obtained by mapping the flow regulation stability interference index deviation re-acquired after the valve flow overshoot correction optimization in the database.

[0049] In this embodiment, the flow monitoring terminal adjusts the flow using a built-in adaptive control algorithm. This algorithm dynamically tracks the changing trend of the flow regulation stability interference index. By combining the mapping relationship between the valve flow overshoot correction and the deviation of the flow regulation stability interference index in the database, the PID parameters (proportional, derivative, integral) are dynamically optimized to obtain the actual valve flow overshoot correction, effectively shortening the flow regulation transition time and improving the valve opening's response sensitivity to the control signal.

[0050] This example improves the accuracy of valve anomaly identification by quantifying the combined deviation of flow fluctuation amplitude and frequency into an intuitive value. 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 and effectively reducing the flow overshoot problem caused by valve hysteresis and response delay. This improves the sensitivity of valve opening to control signal response. If the initial compensation optimization does not achieve the expected effect, a gas temperature regulation anomaly warning is automatically triggered. By adjusting the temperature parameters to optimize the carbon dioxide density and viscosity characteristics, the flow stability is further improved.

[0051] This application provides a parameter-self-adjusting beer hop addition control device, including: a signal monitoring controller, a temperature monitoring controller, a flow monitoring controller, a digital signal processor, an oscilloscope, a power spectral density analyzer, an infrared gas sensor, a dissolved gas electrode, a thermal mass flow meter, and a spectrum analyzer; the signal monitoring controller is used to adjust the signal sampling frequency and signal filtering intensity; 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 harmonic components of the signal; the oscilloscope is used to monitor the time-domain fluctuation amplitude; the power spectral 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 flow meter is used to monitor the flow fluctuation amplitude; and the spectrum analyzer is used to monitor the flow frequency fluctuation value.

[0052] It should be understood that the memory in the embodiments of the present invention can be volatile memory or non-volatile memory, or may include both volatile and non-volatile memory. The non-volatile memory can be read-only memory (ROM), programmable read-only memory (PROM), erasable programmable read-only memory (EPROM), electrically erasable programmable read-only memory (EEPROM), or flash memory. The volatile memory can be random access memory (RAM), which is used as an external cache. By way of example, but not limitation, many forms of random access memory (RAM) are available, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate synchronous DRAM (DDR SDRAM), enhanced synchronous DRAM (ESDRAM), synchronous linked DRAM (SLDRAM), and direct rambus RAM (DR RAM).

[0053] The above embodiments can be implemented, in whole or in part, by software, hardware (such as circuits), firmware, or any other combination thereof. When implemented using software, the above embodiments can be implemented, in whole or in part, as a computer program product. The computer program product includes one or more computer instructions or computer programs. When the computer instructions or computer programs are loaded or executed on a computer, all or part of the processes or functions described in the embodiments of the present invention are generated. 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 (e.g., infrared, wireless, microwave, etc.) means. The computer-readable storage medium can be any available medium that a computer can access or a data storage device such as a server or data center that includes one or more sets of available media. The available medium can be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium. A semiconductor medium can be a solid-state drive.

[0054] It should be understood that the term "and / or" in this article is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A existing alone, A and B existing simultaneously, or B existing alone. A and B can be singular or plural. Additionally, the character " / " in this article generally indicates an "or" relationship between the preceding and following related objects, but it can also represent an "and / or" relationship. Please refer to the context for a more accurate understanding.

[0055] In this invention, "at least one" means one or more, and "more than one" means two or more. "At least one of the following" or similar expressions refer to any combination of these items, including any combination of a single item or a plurality of items. For example, at least one of a, b, or c can represent: a, b, c, ab, ac, bc, or abc, where a, b, and c can be a single item or multiple items.

[0056] It should be understood that, in various embodiments of the present invention, the order of the above-mentioned process numbers does not imply 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.

[0057] Those skilled in the art will recognize that the units and algorithm steps of the various examples 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 implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementations should not be considered beyond the scope of this invention.

[0058] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working processes of the devices, apparatuses, and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here.

[0059] In the several embodiments provided by this invention, it should be understood that the disclosed devices, apparatuses, and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another device, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection between devices or units may be electrical, mechanical, or other forms.

[0060] The units described as separate components may or may not be physically separate. 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 the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0061] In addition, the functional units in the various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit.

[0062] If the aforementioned 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 this invention, or the part that contributes to the prior art, or a part 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 to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0063] 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 variations or substitutions that can be easily conceived by those skilled in the art within the technical scope disclosed in the present invention should be included within the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be determined by the scope of the claims.

Claims

1. A method of hop addition control for beer gas stripping based on parameter self-adjustment, characterized in that, The method comprises the following steps: S1, collecting the current signal of the corresponding flow sensor in the early stage of beer brewing fermentation in real time, and simultaneously performing validity analysis on the signal conversion process of the current signal based on the obtained signal conversion data to obtain a signal conversion validity interference index; if the obtained signal conversion validity interference index is not greater than a preset signal conversion validity interference index in a database, it is determined that there is no signal monitoring parameter optimization requirement; otherwise, it is determined that there is a signal monitoring parameter optimization requirement, and an actual signal sampling frequency adjustment value is obtained based on the mapping relationship between the deviation of the obtained signal conversion validity interference index and the signal sampling frequency adjustment value in the database, 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 obtained after adjusting the signal sampling frequency once is not greater than the preset signal conversion validity interference index, the signal sampling frequency adjustment is completed and accuracy analysis is performed; otherwise, signal filtering strength adjustment is performed; S2, if it is determined that the signal conversion is qualified, a carbon dioxide flow control period is obtained and carbon dioxide flow control validity analysis is performed: S21, in the first control period, accuracy analysis is performed on the carbon dioxide flow state recognition process corresponding to the middle stage of beer brewing fermentation to obtain a state recognition accuracy interference index; if the obtained state recognition accuracy interference index is not greater than a preset state recognition accuracy interference index, it is determined that there is no flow abnormal correction requirement and stability analysis is performed; otherwise, it is determined that there is a flow abnormal correction requirement and flow abnormal correction is performed. S22, if it is determined that the recognition accuracy is qualified, then in the second control period, the stability of the actuator adjustment link corresponding to the carbon dioxide flow in the late stage of beer brewing fermentation is analyzed to obtain a flow regulation stability disturbance index, if the obtained flow regulation stability disturbance index is not greater than a preset flow regulation stability disturbance 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 based on the mapping relationship between the obtained flow regulation stability disturbance index deviation and the valve flow overshoot correction amount in the database, an actual valve flow overshoot correction amount is obtained, which is used to prompt the flow monitoring terminal to shorten the transition time of flow regulation based on the obtained actual valve flow overshoot correction amount, so as to improve the sensitivity of the valve opening degree to the response of the control signal; if the flow regulation stability disturbance index reobtained after the valve flow overshoot correction optimization is not greater than the preset flow regulation stability disturbance index, the valve flow overshoot correction optimization is completed and the monitoring instruction for the next carbon dioxide flow control period is sent, otherwise, a gas temperature regulation abnormality early warning instruction is sent; the gas temperature regulation abnormality early warning instruction is used to prompt the preset personnel to reduce the influence rate of carbon dioxide density and viscosity according to the obtained gas temperature regulation value, so as to improve the flow stability, and the gas temperature regulation value represents the result obtained by mapping the deviation of the flow regulation stability disturbance index reobtained after the valve flow overshoot correction optimization in the database.

2. The method for controlling the addition of hops based on the self-adjustment of parameters of beer gas extraction according to claim 1, characterized in that, The specific steps of the effectiveness analysis of the signal conversion process based on the obtained signal conversion data are as follows: At the end of the signal conversion period, the proportional difference degrees between the signal conversion data and the preset signal conversion data in the database are obtained, and each proportional difference degree result is corrected by combining the signal conversion data correction factor, and the corrected results are coupled to obtain a signal conversion effectiveness disturbance index; The signal conversion data includes signal harmonic components, time domain fluctuation amplitudes and noise energy amplitudes, and the signal conversion effectiveness disturbance index represents the influence degree quantization data of the signal conversion data on the conversion efficiency of the current signal.

3. The method for controlling the addition of hops based on the self-adjustment of parameters of beer gas extraction according to claim 1, characterized in that, The specific process of the signal filtering strength adjustment is as follows: Based on the mapping relationship between the signal conversion effectiveness disturbance index deviation reobtained after the adjustment of the signal sampling frequency and the signal filtering strength adjustment value in the database, an actual signal filtering 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 obtained actual signal filtering strength adjustment value; If the signal conversion effectiveness disturbance index reobtained after the adjustment of the signal filtering strength is not greater than the preset signal conversion effectiveness disturbance index, the signal monitoring parameter optimization is completed and the accuracy analysis is performed, otherwise, the signal monitoring early warning is performed.

4. The method for controlling the addition of hops based on the self-adjustment of parameters of beer gas extraction according to claim 1, characterized in that, The specific steps of the accuracy analysis of the carbon dioxide flow state recognition process corresponding to the middle stage of beer brewing fermentation are as follows: Obtain the gas phase concentration and liquid phase concentration of carbon dioxide in the beer fermentation tank at the end of the first control period, and 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 the liquid phase concentration score; Sum and average the gas phase concentration score and the liquid phase concentration score to obtain the state recognition accuracy interference index, which represents the degree of influence of the gas phase concentration and the liquid phase concentration on the accuracy of carbon dioxide flow state recognition.

5. The method for controlling the addition of hops based on the self-adjustment of parameters of beer gas extraction according to claim 1, characterized in that, The specific process of the flow anomaly correction is: Based on the obtained state recognition accuracy interference index deviation and carbon dioxide release speed deviation, the actual beer fermentation tank 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 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-time 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 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 adjust the actual chemical polarity according to the actual chemical polarity adjustment value obtained after one-time beer fermentation tank temperature adjustment, so as to improve the dissolution rate of carbon dioxide in gas and liquid, and the actual chemical polarity adjustment value represents the result obtained by mapping the state recognition accuracy interference index deviation reacquired after one-time beer fermentation tank temperature adjustment in the database.

6. The method for controlling the addition of hops based on the self-adjustment of parameters of beer gas extraction according to claim 1, characterized by, The specific steps of the stability analysis of the actuator adjustment link of the carbon dioxide flow corresponding to the late stage of beer brewing fermentation are: Obtain the flow fluctuation amplitude and flow frequency fluctuation value of 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 the flow frequency fluctuation value score; Sum and average the flow fluctuation amplitude score and the flow frequency fluctuation value score to obtain the flow regulation stability interference index, which represents the degree of influence of the flow fluctuation amplitude and the flow frequency fluctuation value on the stability of carbon dioxide flow regulation.

7. An apparatus for applying the method of self-regulating parameter-based control of beer gas-driven hop addition according to any one of claims 1 to 6, characterized in that It includes: 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 regulate the signal sampling frequency and signal filtering intensity; The temperature monitoring controller is used to regulate the beer fermentation tank temperature; The flow monitoring controller is used to regulate 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; The spectrum analyzer is used to monitor the flow frequency fluctuation value.

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