Microbial fermentation control system based on intelligent sensor

Abstract

The invention relates to the technical field of microbial fermentation, in particular to a microbial fermentation control system based on an intelligent sensor, and the system comprises a data collection module which is used for periodically collecting environment information and reactant information in a fermentation tank; the data analysis module is used for constructing a fermentation coupling model based on the information change condition of reactants in the fermentation tank in the target time period, constructing a microorganism growth curve according to the environment information change condition, and determining a microorganism growth key area based on the microorganism growth curve; the data judgment module is used for determining a microbial fermentation process based on the fermentation coupling model and the microbial growth key area, and judging whether microbial fermentation meets a preset standard or not according to the microbial fermentation process; and the control and adjustment module is used for determining a control and adjustment mode of the fermentation tank based on a judgment result that the microbial fermentation process does not meet the preset standard. The microbial fermentation environment can be accurately controlled, so that the fermentation effect and the fermentation efficiency are improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of microbial fermentation, and particularly relates to a microbial fermentation control system based on intelligent sensors. BACKGROUND

[0002] Microbial fermentation refers to a process of converting raw materials into products required by human beings through specific metabolic pathways under suitable conditions by using microorganisms. The production level of microbial fermentation mainly depends on the genetic characteristics of the strain itself and the culture conditions. The automatic control production of biological fermentation projects not only improves the production efficiency of the workshop but also guarantees the high quality of the products. The fermentation process is the key to determining the success or failure of the entire fermentation production process and is the most complex and most susceptible to contamination stage in the entire production process. Therefore, the fermentation tank and its process pipeline should be cleaned and sterilized before production, and the culture medium should be added to the tank and then sterilized. At the same time when the sterilization is completed, the control of the process parameters such as the pressure and temperature of the fermentation tank should be started to ensure the sterility in the tank. These process parameters not only affect the efficiency of fermentation but also determine the fermentation effect. However, the traditional microbial fermentation control is mainly manual monitoring and control. When the change of the fermentation environment is monitored, it is determined by human whether the control adjustment of the process parameters is required. However, due to the complexity and uncertainty of the parameters in the fermentation tank during the fermentation process, it is difficult to achieve accurate control of the fermentation process by human regulation, resulting in low fermentation efficiency and poor fermentation effect.

[0003] Chinese Patent Publication No. CN116144489B discloses a microbial fermentation automatic control system, which comprises: obtaining temperature time series data of a fermentation tank to form a temperature curve and obtaining a plurality of target curve segments; selecting a first temperature curve and a first target curve segment to obtain distance parameters of data points of the first target curve segment and data points of the remaining target curve segments; performing shortest path matching on the first target curve segment and the remaining target curve segments according to the distance parameters to obtain a matching result, and obtaining net heat of the fermentation tank at the time sequence of the first target curve segment according to the matching result; clustering the first target curve segment to obtain a cluster; obtaining a compensation amount of an adjustment amount; and adjusting and compensating the heat of the fermentation tank according to the compensation amount of the adjustment amount to complete the control of the microbial fermentation.

[0004] The prior art has the following problems: only the temperature data in the fermentation tank is analyzed to adjust the heat of the fermentation tank, which is difficult to ensure the accuracy of the adjustment, thereby reducing the fermentation efficiency and the fermentation effect. SUMMARY

[0005] Therefore, the present application provides a microbial fermentation control system based on intelligent sensors to overcome the problems that human regulation is difficult to achieve accurate control of the fermentation process and only considers the influence of temperature factors, resulting in low fermentation efficiency and poor fermentation effect.

[0006] To achieve the above object, the present application provides a microorganism fermentation control system based on intelligent sensor, comprising:

[0007] a data acquisition module, configured to periodically acquire environmental information and reactant information inside the fermenter, wherein the environmental information comprises air pressure and temperature, and the reactant information comprises substrate concentration, pH value and cell concentration;

[0008] a data analysis module, connected with the data acquisition module, configured to construct a fermentation coupling model based on the change of the reactant information inside the fermenter in a target time period, and construct a microorganism growth curve according to the change of the environmental information, and determine a microorganism growth critical zone based on the microorganism growth curve;

[0009] a data judgment module, connected with the data analysis module, configured to determine a microorganism fermentation process based on the fermentation coupling model and the microorganism growth critical zone, and determine whether the microorganism fermentation meets a preset standard according to the microorganism fermentation process;

[0010] a control adjustment module, connected with the data judgment module and the data analysis module respectively, configured to determine a control adjustment mode of the fermenter based on the determination result that the microorganism fermentation process does not meet the preset standard, comprising:

[0011] determining an environmental information adjustment amount based on the key environmental information corresponding to the microorganism growth critical zone;

[0012] or, determining predicted reactant information based on the fermentation coupling model, and determining a nutrient solution addition parameter including nutrient solution addition amount and addition time based on the predicted reactant information.

[0013] Further, the data acquisition module comprises:

[0014] an environmental information acquisition submodule, comprising a plurality of environmental monitoring components arranged at a plurality of first preset positions in a monitoring area inside the fermenter;

[0015] a reactant information acquisition submodule, comprising a plurality of reactant monitoring components arranged at a plurality of second preset positions in a fermentation area inside the fermenter.

[0016] Further, the data analysis module comprises:

[0017] an environmental information analysis submodule connected to the environmental information collection submodule, configured to determine an environmental change curve corresponding to each first preset position and an environmental representation curve corresponding to each collection time point based on changes in the environmental information of each first preset position, and determine a target time period and a key preset position based on the environmental change curve and the environmental representation curve.

[0018] Further, the data analysis module further comprises:

[0019] a curve construction submodule connected to the environmental information analysis submodule, configured to determine a fermentation environmental influence coefficient based on changes in the environmental information of the key preset position in the target time period, and construct a microorganism growth curve based on the fermentation influence coefficient.

[0020] Further, the data analysis module further comprises:

[0021] a model construction submodule connected to the reactant information collection submodule, configured to determine a plurality of reactant fermentation factors based on changes in the reactant information of each second preset position, and construct a fermentation coupling model based on the reactant fermentation factors.

[0022] Further, the data analysis module further comprises:

[0023] a curve analysis submodule connected to the curve construction submodule, configured to determine a microorganism growth key zone based on a curve change rate of the microorganism growth curve.

[0024] Further, the data analysis module further comprises:

[0025] a fermentation process determination submodule connected to the model construction submodule and the curve analysis submodule, configured to determine a key time period based on a time period during which the microorganism growth key zone lasts, and determine a microorganism fermentation process based on changes in the reactant information in the key time period and the fermentation coupling model.

[0026] Further, the data analysis module further comprises:

[0027] a fermentation determination submodule connected to the fermentation process determination submodule, configured to determine a standard fermentation index based on the microorganism fermentation process, and determine whether the microorganism fermentation meets a preset standard based on a comparison result of current environmental information and current reactant information with the standard fermentation index.

[0028] If the current environmental information and the current reactant information both meet the standard fermentation index, it is determined that the microorganism fermentation meets the preset standard.

[0029] Further, the control adjustment module determines that the control adjustment mode of the fermenter is a first adjustment mode based on a comparison result that the current environment information does not conform to the standard fermentation index.

[0030] The first adjustment mode is to determine an environment information adjustment amount based on the key environment information corresponding to the key microbial growth zone.

[0031] Further, the control adjustment module determines that the control adjustment mode of the fermenter is a second adjustment mode based on a comparison result that the current reactant information does not conform to the standard fermentation index.

[0032] The second adjustment mode is to determine predicted reactant information based on the fermentation coupling model, and to determine the nutrient solution addition parameters based on the predicted reactant information.

[0033] Compared with the prior art, the present application has the beneficial effects that by setting the data acquisition module, the environment information and the reactant information in the fermenter are periodically collected, the real-time dynamic monitoring of the fermentation process can be realized, and multi-dimensional data support is provided for subsequent data analysis. By setting the data analysis module, the fermentation coupling model is constructed based on the change of the reactant information inside the fermenter in the target time period, the product synthesis and the internal law in the fermentation process can be coupled. The environment information has a direct impact on microbial fermentation, by constructing the microbial growth curve, the growth characteristics of the microorganism can be analyzed, the basis for the fermentation control in the subsequent microbial fermentation process is provided, and the precision of the control is improved. By setting the data determination module, the microbial fermentation process is determined based on the fermentation coupling model and the microbial growth key zone, and it is judged whether it conforms to the preset standard, the fermentation process can be accurately analyzed, the fermentation abnormality can be avoided, and the fermentation efficiency and the fermentation effect are further improved. By setting the control adjustment module, the control adjustment mode of the fermenter is determined based on the determination result of the data determination module, the precise control of the microbial fermentation process can be realized. The control adjustment mode includes adjusting the environment information and adjusting the nutrient solution addition, the environment conditions or the nutrient supply of the fermenter can be flexibly adjusted, different fermentation conditions and needs can be adapted, the fermentation efficiency and the fermentation effect are improved, and the stability of the fermentation process is ensured.

[0034] Further, the data acquisition module of the present application can more accurately acquire the environmental information at different positions in the fermenter by setting the environmental information acquisition submodule, which sets environmental monitoring components at a plurality of first preset positions in the monitoring area inside the fermenter, and can provide more comprehensive data through multi-point monitoring to reflect the subtle changes and distribution of the environment in the fermenter. By setting the reactant information acquisition submodule, reactant monitoring components are set at a plurality of second preset positions in the fermentation area inside the fermenter, which can comprehensively monitor the relevant information of the reactants, and multi-point monitoring can help locate the specific position of the reactant changes in the fermentation process and analyze the reactant dynamics in different areas of the fermenter.

[0035] Further, the data analysis module of the present application can determine the dynamic change trend of the environmental information of each collection point (first preset position) with time by setting the environmental information analysis submodule and determining the corresponding environmental change curve by analyzing the environmental information change of each first preset position, and can determine the overall environmental dynamics in the fermenter by analyzing the environmental information change of each collection point in the fermenter at each collection time point to determine the corresponding environmental characterization curve, which can comprehensively analyze the correlation of the environmental information at different positions in the fermenter. By analyzing the environmental change curve and the environmental characterization curve, the important time period for microbial growth and product synthesis in the fermentation process can be determined, and the target time period and key preset position can be determined, which can reduce the data processing amount and improve the accuracy of data analysis, thereby further improving the precise monitoring and control of the fermentation process.

[0036] Further, the data analysis module of the present application can determine the dynamic change trend of the environmental information of each collection point (first preset position) with time by setting the environmental information analysis submodule and determining the corresponding environmental change curve by analyzing the environmental information change of each first preset position, and can determine the overall environmental dynamics in the fermenter by analyzing the environmental information change of each collection point in the fermenter at each collection time point to determine the corresponding environmental characterization curve, which can comprehensively analyze the correlation of the environmental information at different positions in the fermenter. By analyzing the environmental change curve and the environmental characterization curve, the important time period for microbial growth and product synthesis in the fermentation process can be determined, and the target time period and key preset position can be determined, which can reduce the data processing amount and improve the accuracy of data analysis, thereby further improving the precise monitoring and control of the fermentation process.

[0037] Further, the data analysis module of the present application can determine the dynamic change trend of the environmental information of each collection point (first preset position) with time by setting the environmental information analysis submodule and determining the corresponding environmental change curve by analyzing the environmental information change of each first preset position, and can determine the overall environmental dynamics in the fermenter by analyzing the environmental information change of each collection point in the fermenter at each collection time point to determine the corresponding environmental characterization curve, which can comprehensively analyze the correlation of the environmental information at different positions in the fermenter. By analyzing the environmental change curve and the environmental characterization curve, the important time period for microbial growth and product synthesis in the fermentation process can be determined, and the target time period and key preset position can be determined, which can reduce the data processing amount and improve the accuracy of data analysis, thereby further improving the precise monitoring and control of the fermentation process.

[0038] Further, the data determination module of the present application can determine the key time period based on the duration of the key zone of microbial growth through the fermentation process determination submodule, accurately locate the stage that has a decisive influence on microbial growth and product synthesis in the fermentation process, and comprehensively analyze multi-source data by combining the changes in the reactant information in the key time period and the fermentation coupling model, so as to more comprehensively and accurately determine the microbial fermentation process and avoid errors and uncertainties caused by single data analysis, thereby further improving the fermentation efficiency and fermentation effect.

[0039] Further, the data determination module of the present application can determine the key time period based on the duration of the key zone of microbial growth through the fermentation process determination submodule, accurately locate the stage that has a decisive influence on microbial growth and product synthesis in the fermentation process, and comprehensively analyze multi-source data by combining the changes in the reactant information in the key time period and the fermentation coupling model, so as to more comprehensively and accurately determine the microbial fermentation process and avoid errors and uncertainties caused by single data analysis, thereby further improving the fermentation efficiency and fermentation effect.

[0040] Further, the data determination module of the present application can determine the key time period based on the duration of the key zone of microbial growth through the fermentation process determination submodule, accurately locate the stage that has a decisive influence on microbial growth and product synthesis in the fermentation process, and comprehensively analyze multi-source data by combining the changes in the reactant information in the key time period and the fermentation coupling model, so as to more comprehensively and accurately determine the microbial fermentation process and avoid errors and uncertainties caused by single data analysis, thereby further improving the fermentation efficiency and fermentation effect. BRIEF DESCRIPTION OF DRAWINGS

[0041] Figure 1 The structural block diagram of the microbial fermentation control system based on intelligent sensors of the embodiment of the present application is shown in the figure;

[0042] Figure 2 The structural block diagram of the data acquisition module of the embodiment of the present application is shown in the figure;

[0043] Figure 3 The structural block diagram of the data analysis module of the embodiment of the present application is shown in the figure;

[0044] Figure 4 The structural block diagram of the data determination module of the embodiment of the present application is shown in the figure. DETAILED DESCRIPTION

[0045] In order to make the objects and advantages of the present application more clear and apparent, the present application will be further described below in combination with embodiments; it should be understood that the specific embodiments described herein are only used to explain the present application and do not limit the present application.

[0046] The preferred embodiments of the present application will be described below with reference to the accompanying drawings. Those skilled in the art will appreciate that the embodiments are only used to explain the technical principles of the present application, and are not intended to limit the protection scope of the present application.

[0047] It should be noted that, in the description of the present application, the terms indicating the direction or positional relationship of "upper", "lower", "left", "right", "inner", "outer" and the like are based on the direction or positional relationship shown in the drawings, which is only for the convenience of description, and does not indicate or imply that the device or element must have a particular orientation, be constructed and operated in a particular orientation, and therefore cannot be understood as a limitation on the present application.

[0048] In addition, it should be noted that, in the description of the present application, unless otherwise explicitly specified and limited, the terms "mounting", "connecting", "connection" should be understood broadly, for example, it can be fixed connection, or detachable connection, or integral connection; it can be mechanical connection, or electrical connection; it can be direct connection, or indirect connection through intermediate medium, or internal communication of two elements. Those skilled in the art can understand the specific meaning of the above terms in the present application according to the specific circumstances.

[0049] Please refer to Figures 1-4 , the structure block diagram of the microorganism fermentation control system based on intelligent sensor of the embodiment of the present application is shown; Figure 1 , the structure block diagram of the microorganism fermentation control system based on intelligent sensor of the embodiment of the present application is shown; Figure 2 , the structure block diagram of the data acquisition module of the embodiment of the present application is shown; Figure 3 , the structure block diagram of the data analysis module of the embodiment of the present application is shown; Figure 4 , the structure block diagram of the data analysis module of the embodiment of the present application is shown; the microorganism fermentation control system based on intelligent sensor provided by the embodiment of the present application comprises:

[0050] The data acquisition module is used to periodically collect the environmental information and the reactant information inside the fermentation tank, wherein the environmental information comprises air pressure and temperature, and the reactant information comprises substrate concentration, pH value and cell concentration;

[0051] Specifically, the data acquisition module comprises:

[0052] The environmental information acquisition submodule comprises a plurality of environmental monitoring components arranged at a plurality of first preset positions in the monitoring area inside the fermentation tank;

[0053] The reactant information acquisition submodule comprises a plurality of reactant monitoring components arranged at a plurality of second preset positions in the fermentation area inside the fermentation tank.

[0054] In the implementation, the specific structure of the environment monitoring assembly and the reactant monitoring assembly is not limited, the environment monitoring assembly at least includes a gas pressure sensor and a temperature sensor, and the reactant monitoring assembly at least includes a biological sensor (detecting substrate concentration), a pH sensor (detecting acid-base degree) and a capacitance sensor (detecting the concentration of bacteria by detecting the change of the dielectric constant of the fermentation liquid).

[0055] It can be understood that, in the fermentation tank, the reactant liquid surface is taken as a demarcation line, the liquid surface above is a monitoring area, and the liquid surface below is a fermentation area, a plurality of first preset positions are uniformly distributed on the fermentation tank wall of the monitoring area (the fermentation tank wall area of the monitoring area is positively correlated with the number of the first preset positions), and a corresponding environment monitoring assembly is arranged at each first preset position; a plurality of second preset positions are uniformly distributed on the fermentation tank wall of the fermentation area and the bottom of the fermentation tank (the fermentation tank wall area of the fermentation area and the bottom area of the fermentation tank are positively correlated with the number of the second preset positions), and a corresponding reactant monitoring assembly is arranged at each second preset position.

[0056] The data acquisition module of the present application can more accurately acquire the environment information at different positions in the fermentation tank by arranging the environment monitoring assembly at a plurality of first preset positions in the monitoring area in the fermentation tank, and multi-point monitoring can provide more comprehensive data to reflect the subtle changes and distribution of the environment in the fermentation tank. By arranging the reactant information acquisition submodule, the reactant monitoring assembly is arranged at a plurality of second preset positions in the fermentation area in the fermentation tank, the related information of the reactant can be comprehensively monitored, and multi-point monitoring is helpful for positioning the specific position of the reactant change in the fermentation process and analyzing the reactant dynamics in different areas in the fermentation tank.

[0057] The data analysis module is connected with the data acquisition module, used to construct a fermentation coupling model based on the change of the reactant information in the fermentation tank in a target time period, construct a microorganism growth curve based on the change of the environment information, and determine a microorganism growth key area based on the microorganism growth curve;

[0058] Specifically, the data analysis module includes:

[0059] The environment information analysis submodule is connected with the environment information acquisition submodule, used to determine the environment change curve corresponding to each first preset position and the environment representation curve corresponding to each acquisition time point based on the change of the environment information of each first preset position, and determine the target time period and the key preset position based on the environment change curve and the environment representation curve.

[0060] In the implementation, for each first preset position, a corresponding environmental characteristic value (environmental characteristic value HT=(QY / BQY+WD / BWD)) / 2 is determined according to the collected air pressure and temperature, wherein QY is the air pressure, BQY is the preset air pressure, WD is the temperature, and BWD is the preset temperature. The actual implementer can set the preset air pressure based on the actual situation or the average value of the fermentation air pressure that passes the qualification test in the historical data, and set the preset temperature based on the actual situation or the average value of the fermentation temperature that passes the qualification test in the historical data. The collection time point is taken as the independent variable, and the environmental characteristic value determined at the first preset position at each collection time point is taken as the dependent variable, to construct an environmental change curve corresponding to each first preset position. For each collection time point, the first preset positions are labeled (the monitoring area can be sorted from bottom to top, any first preset position in the same height at the bottom end (the bottom layer) is labeled 1, the first preset positions on the same axis as the label 1 are taken as the starting point of the label of each layer in ascending order clockwise or counterclockwise, and the label direction is the same as that of the bottom layer), and the label of the first preset position is taken as the independent variable, and the environmental characteristic value determined at the first preset position is taken as the dependent variable, to construct an environmental characteristic curve corresponding to each collection time point.

[0061] It can be understood that the curve change rate corresponding to each collection time point in each environmental change curve is calculated, and if the curve change rate is greater than the preset environmental change rate for a duration greater than the preset duration, the corresponding time period is determined as the target time period, wherein the target time period includes a plurality of collection time points. The actual implementer can determine the preset duration based on the actual situation or the average value of the duration that passes the qualification test in the historical data, and preferably, the preset duration is set to 1 / 5-1 / 6 of the total fermentation duration. The actual implementer can set the preset environmental change rate based on the actual situation, and preferably, the preset environmental change rate is set to 0.9-1.5.

[0062] It can be understood that the environment characteristic curve corresponding to each collection time point in the target time period is determined as a key environment characteristic curve, the maximum pressure difference in each preset position group in each key environment characteristic curve is compared with the preset pressure difference, and the maximum temperature difference is compared with the preset temperature difference to determine a key preset position group, wherein each layer of the label is a preset position group, the pressure difference and the temperature difference of any two first preset positions collected at each collection time point in each preset position group are calculated, if the maximum pressure difference of any preset position group at any collection time point is greater than the preset pressure difference and the temperature difference between the maximum pressure position corresponding to the preset position group and the minimum temperature is greater than the preset temperature difference, or the maximum temperature difference of any preset position group at any collection time point is greater than the preset temperature difference and the pressure difference between the maximum temperature position corresponding to the preset position group and the minimum pressure is greater than the preset pressure difference, then the first preset position corresponding to the maximum pressure and the maximum temperature is taken as the key preset position. The actual implementer can set the preset pressure difference based on the actual situation or the maximum pressure difference in the fermentation tank in the fermentation process that passes the eligibility test based on historical data, and the actual implementer can set the preset temperature difference based on the actual situation or the maximum temperature difference in the fermentation tank in the fermentation process that passes the eligibility test based on historical data. Preferably, the preset pressure difference is set to a value range of 0.01 MPa to 0.02 MPa, and the preset temperature difference is set to a value range of 1°C to 2°C.

[0063] The mean of the environmental information difference is set as the preset environmental information difference.

[0064] The data analysis module of the present application sets an environment information analysis submodule, determines the corresponding environment change curve by analyzing the environment information change of each first preset position, can determine the dynamic change trend of the environment information of each collection point (first preset position) with time, determines the corresponding environment characteristic curve by analyzing the environment information change of each collection point in the fermentation tank at each collection time point, can comprehensively analyze the correlation of the environment information at different positions in the fermentation tank, and determines the overall environment dynamics in the fermentation tank. Through analysis of the environment change curve and the environment characteristic curve, the important time period and the important collection point for microbial growth and product synthesis in the fermentation process can be determined, the target time period and the key preset position can be determined, the data processing amount can be reduced, the accuracy of data analysis can be improved, and thus the precise monitoring and control of the fermentation process can be further improved.

[0065] Specifically, the data analysis module further comprises:

[0066] A curve construction submodule connected with the environment information analysis submodule, used to determine a fermentation environment influence coefficient according to the environment information change of the key preset position in the target time period, and construct a microbial growth curve based on the fermentation influence coefficient.

[0067] In implementation, the first gas pressure ratio is determined according to a ratio of the minimum gas pressure to the maximum gas pressure collected at the key preset position within the target time period, the first temperature ratio is determined according to a ratio of the minimum temperature to the maximum temperature collected at the key preset position within the target time period, and the product of the first gas pressure ratio and the first temperature ratio is determined as the fermentation environment influence coefficient.

[0068] It can be understood that the initial growth curve model is trained based on the microbial growth data in the historical data and the fermentation environment influence coefficient, and the microbial growth curve is constructed based on the trained growth curve model, and those skilled in the art know that any growth curve model capable of representing the microbial growth curve in the prior art falls within the protection scope of the present application, for example, Logistic model, Gompertz model, etc., which will not be described here.

[0069] The data analysis module of the present application can quantify the comprehensive influence degree of the environmental information on the microbial growth by setting the curve construction submodule to determine the fermentation environment influence coefficient based on the change of the environmental information at the key preset position within the target time period, and represent the growth state of the microorganism in the fermentation tank.

[0070] Specifically, the data analysis module further comprises:

[0071] The model construction submodule is connected with the reactant information collection submodule, and is used to determine a plurality of reactant fermentation factors based on the change of the reactant information at each second preset position, and construct a fermentation coupling model based on the reactant fermentation factors.

[0072] In implementation, for each second preset position, a substrate concentration change curve corresponding to each second preset position is constructed based on the substrate concentration change amount at adjacent collection time points, a reactant change curve corresponding to each second preset position is constructed based on the pH change amount at adjacent collection time points, and for each second preset position, a cell concentration change curve corresponding to each second preset position is constructed based on the cell concentration change amount at adjacent collection time points, the curve change rate of each position of the substrate concentration change curve, the pH change curve, and the cell concentration change curve is calculated, and if there is any substrate concentration curve change rate greater than a preset substrate concentration change rate, or there is any pH curve change rate greater than a preset pH change rate, or there is any cell concentration curve change rate greater than a preset cell concentration change rate, then the corresponding substrate concentration curve change rate, pH curve change rate, and cell concentration curve change rate are determined as the reactant fermentation factor.

[0073] It can be understood that the initial neural network model is trained by taking the reactant fermentation factor as an input variable and taking the corresponding fermentation degree (determined based on the proportion of the product to the reactant in the fermentation tank) as an output variable, to obtain the fermentation coupling model.

[0074] The data analysis module of the present application can determine a plurality of reactant fermentation factors according to the change of the reactant information at each second preset position, can represent the correlation between the reactant information and the product synthesis in the fermentation process, can construct a fermentation coupling model, can accurately couple the dynamic change of the fermentation process, can realize accurate prediction and simulation, and thus can improve the fermentation effect.

[0075] Specifically, the data analysis module further comprises:

[0076] a curve analysis submodule connected with the curve construction submodule, used to determine a microbial growth key zone based on the curve change rate of the microbial growth curve.

[0077] In implementation, the duration period during which the curve change rate of the microbial growth curve is greater than a preset growth change rate is determined as the microbial growth key zone, and the actual implementer can set the preset growth change rate based on the actual situation, and preferably, the preset growth change rate is set to have a value range of 0.5-1.0.

[0078] It can be understood that the curve change rate can be calculated based on the numerical differentiation method or the mathematical fitting method, which is prior art and will not be described herein.

[0079] a data determination module connected with the data analysis module, used to determine a microbial fermentation process based on the fermentation coupling model and the microbial growth key zone, and determine whether the microbial fermentation meets a preset standard according to the microbial fermentation process;

[0080] Specifically, the data determination module comprises:

[0081] a fermentation process determination submodule connected with the model construction submodule and the curve analysis submodule respectively, used to determine a key time period based on the duration period of the microbial growth key zone, and determine the microbial fermentation process based on the change of the reactant information in the key time period and the fermentation coupling model.

[0082] In implementation, a substrate concentration coefficient is determined based on the ratio of the minimum substrate concentration to the maximum substrate concentration collected at each second preset position in the key time period, an acid-base degree coefficient is determined based on the ratio of the minimum acid-base degree to the maximum acid-base degree collected at each second preset position in the key time period, a cell concentration coefficient is determined based on the ratio of the minimum cell concentration to the maximum cell concentration collected at each second preset position in the key time period, a target comprehensive reactant coefficient is determined according to the mean value of the substrate concentration coefficient, the acid-base degree coefficient and the cell concentration coefficient, and a target fermentation degree is determined according to the output of the fermentation coupling model.

[0083] In a specific embodiment, a training sample set is constructed based on the comprehensive reactant coefficient and the fermentation degree in the passability test in the historical data, and a neural network model is trained based on the training sample set to obtain a microbial fermentation process model, and the target comprehensive reactant coefficient and the target fermentation degree are input into the microbial fermentation process model to obtain the microbial fermentation process output by the microbial fermentation process model.

[0084] In another specific embodiment, a microbial fermentation process control table can be set based on actual conditions, and a corresponding comprehensive reactant coefficient range and fermentation degree are set for each microbial fermentation process. The fermentation degree includes the initial fermentation stage (product / reactant ratio is [0-0.3]), the middle fermentation stage (product / reactant ratio is [0.3-0.7]), and the end fermentation stage (product / reactant ratio is [0.7-1.0]). In the initial fermentation stage, the substrate concentration, pH, and cell concentration are relatively low, and the change degree is small, so the corresponding comprehensive reactant coefficient is small, preferably, the comprehensive reactant coefficient range is set to 0.1-0.5. In the middle fermentation stage, as the fermentation reaction occurs, the substrate concentration and pH gradually decrease, and the cell concentration increases, and the change degree is large, so the corresponding comprehensive reactant coefficient is large, preferably, the comprehensive reactant coefficient range is set to 0.8-1.0. In the end fermentation stage, the substrate concentration and pH are low, and the change degree is small, and the cell concentration gradually increases, and the change degree is large, so the corresponding comprehensive reactant coefficient is larger than that in the initial fermentation stage, but smaller than that in the middle fermentation stage, preferably, the comprehensive reactant coefficient range is set to 0.5-0.8.

[0085] The data determination module of the present application can accurately locate the stage that has a decisive influence on microbial growth and product synthesis in the fermentation process by setting the fermentation process determination submodule, determining the key time period based on the duration of the key period of microbial growth, and combining the reactant information change in the key time period and the fermentation coupling model to comprehensively analyze multi-source data, which can more comprehensively and accurately determine the microbial fermentation process, avoid errors and uncertainties caused by single data analysis, and further improve the fermentation efficiency and fermentation effect.

[0086] Specifically, the data determination module further comprises:

[0087] The fermentation determination submodule is connected with the fermentation process determination submodule, and is used to determine the standard fermentation index based on the microbial fermentation process, and determine whether the microbial fermentation meets the preset standard based on the comparison result of the current environmental information and the current reactant information with the standard fermentation index.

[0088] If the current environmental information and the current reactant information both meet the standard fermentation index, it is determined that the microbial fermentation meets the preset standard.

[0089] In the implementation, if the current environment information and / or the current reactant information does not meet the standard fermentation index, it is determined that the microbial fermentation does not meet the preset standard.

[0090] It can be understood that the actual implementer can set the standard pressure range based on the maximum average air pressure and the minimum average air pressure corresponding to each microbial fermentation process of each microbial fermentation process passing the eligibility test in the historical data, the actual implementer can set the standard temperature range based on the maximum average temperature and the minimum average temperature corresponding to each microbial fermentation process of each microbial fermentation process passing the eligibility test in the historical data, the actual implementer can set the standard substrate concentration range based on the maximum average substrate concentration and the minimum average substrate concentration corresponding to each microbial fermentation process of each microbial fermentation process passing the eligibility test in the historical data, the actual implementer can set the standard pH range based on the maximum average pH and the minimum average pH corresponding to each microbial fermentation process of each microbial fermentation process passing the eligibility test in the historical data, and the actual implementer can set the standard cell concentration range based on the maximum average cell concentration and the minimum average cell concentration corresponding to each microbial fermentation process of each microbial fermentation process passing the eligibility test in the historical data. The standard fermentation index includes the standard pressure range, the standard temperature range, the standard substrate concentration range, the standard pH range, and the standard cell concentration range.

[0091] The data determination module of the present application can accurately determine whether the fermentation process meets the preset standard by setting the fermentation determination submodule, determining the standard fermentation index based on the microbial fermentation process, and can timely discover abnormal conditions in the fermentation process by real-time comparison and determination, thereby improving the fermentation efficiency and the fermentation effect.

[0092] The control adjustment module is connected with the data determination module and the data analysis module respectively, and is used to determine the control adjustment mode of the fermentation tank based on the determination result that the microbial fermentation process does not meet the preset standard, including,

[0093] determining the environmental information adjustment amount based on the key environmental information corresponding to the key microbial growth area;

[0094] Alternatively, the predicted reactant information is determined based on the fermentation coupling model, and the nutrient solution addition parameters including the nutrient solution addition amount and the addition time are determined based on the predicted reactant information.

[0095] Specifically, the control adjustment module determines that the control adjustment mode of the fermentation tank based on the comparison result that the current environment information does not meet the standard fermentation index is the first adjustment mode.

[0096] The first adjustment mode is to determine the environmental information adjustment amount based on the key environmental information corresponding to the key microbial growth area.

[0097] In the implementation, the average value of the air pressure corresponding to the microorganism growth critical zone is determined as the critical air pressure, the average value of the temperature corresponding to the microorganism growth critical zone is determined as the critical temperature, the difference between the critical air pressure and the current air pressure is determined as the air pressure adjustment amount, the difference between the critical temperature and the current temperature is determined as the temperature adjustment amount, and the environmental information adjustment amount includes the air pressure adjustment amount and the temperature adjustment amount.

[0098] Specifically, the control adjustment module determines, based on the comparison result that the current reactant information does not conform to the standard fermentation index, that the control adjustment mode of the fermentation tank is a second adjustment mode.

[0099] The second adjustment mode is to determine predicted reactant information based on the fermentation coupling model and to determine the nutrient solution addition parameter based on the predicted reactant information.

[0100] In the implementation, the predicted reactant information is determined based on the fermentation degree output by the fermentation coupling model and a preset fermentation degree reference table or any prediction model capable of outputting predicted reactant information. The actual implementer can set the preset fermentation degree reference table based on the actual situation.

[0101] In the implementation, the predicted substrate concentration coefficient is determined based on the ratio of the predicted substrate concentration to the current substrate concentration, the predicted pH value coefficient is determined based on the ratio of the predicted pH value to the current pH value, and the predicted cell concentration coefficient is determined based on the ratio of the predicted cell concentration to the current cell concentration. The comprehensive adjustment coefficient is determined according to the average value of the predicted substrate concentration coefficient, the predicted pH value coefficient, and the predicted cell concentration coefficient. The nutrient solution addition amount is determined according to the product of the comprehensive adjustment coefficient and the standard nutrient solution addition amount. The nutrient solution addition time corresponding nutrient solution addition time length (i.e., the time length of the nutrient solution addition time from the current time) is determined according to the product of the comprehensive adjustment coefficient and the standard nutrient solution addition time corresponding standard nutrient solution addition time length (i.e., the time length of the standard nutrient solution addition time from the current time).

[0102] It can be understood that the current environmental information is the environmental information collected at the critical preset position at the current time, and the current reactant information is the average value of the reactant information collected at each second preset position at the current time.

[0103] It can be understood that the actual implementer can set the standard nutrient solution addition amount and the standard nutrient solution addition time based on the actual situation. Preferably, the standard nutrient solution addition amount is set to have a value range of 0.1L-0.5L, and the time length of the standard nutrient solution addition time from the current time is set to have a value range of 15min-30min.

[0104] The control adjustment module determines different control adjustment modes by comparing the current environment information and the current reactant information with the standard fermentation index, determines the environment information adjustment amount based on the key environment information corresponding to the key microbial growth area, and can accurately adjust the current environment information that does not meet the standard fermentation index, which helps to quickly restore the stability of the fermentation environment and ensures that the microorganism grows in the most suitable fermentation conditions. The predicted reactant information is determined based on the fermentation coupling model, and the nutrient solution addition parameters are determined based on the predicted reactant information, which can optimize the supply of nutrient solution, avoid the decline of product quality caused by insufficient or excessive nutrients, and improve the fermentation efficiency and fermentation effect.

[0105] The data acquisition module is arranged to periodically collect the environment information and the reactant information in the fermentation tank, which can realize real-time dynamic monitoring of the fermentation process and provide multi-dimensional data support for subsequent data analysis. The data analysis module is arranged to construct a fermentation coupling model based on the change of the reactant information in the fermentation tank in a target time period, which can couple the product synthesis and the internal law in the fermentation process. The environment information has a direct impact on microbial fermentation, and by constructing a microbial growth curve, the growth characteristics of the microorganism can be analyzed to provide a basis for the subsequent fermentation control of the microbial fermentation process and improve the accuracy of the control. The data determination module is arranged to determine the microbial fermentation process based on the fermentation coupling model and the microbial growth key area, and to judge whether it meets the preset standard, which can accurately analyze the fermentation process, avoid fermentation abnormalities, and further improve the fermentation efficiency and fermentation effect. The control adjustment module is arranged to determine the control adjustment mode of the fermentation tank based on the determination result of the data determination module, which can realize accurate control of the microbial fermentation process. The control adjustment mode includes adjusting the environment information and adjusting the nutrient solution addition, which can flexibly adjust the environmental conditions or nutrient supply of the fermentation tank, adapt to different fermentation conditions and needs, improve the fermentation efficiency and fermentation effect, and ensure the stability of the fermentation process.

[0106] So far, the technical solutions of the present application have been described in conjunction with the preferred embodiments shown in the drawings, but those skilled in the art will readily understand that the protection scope of the present application is obviously not limited to these specific embodiments. Those skilled in the art can make equivalent changes or replacements to related technical features without departing from the principles of the present application, and the technical solutions after these changes or replacements will fall within the protection scope of the present application.

Claims

1. A microbial fermentation control system based on intelligent sensors, characterized in that, include: The data acquisition module is used to periodically collect environmental information and reactant information inside the fermenter. The environmental information includes air pressure and temperature, and the reactant information includes substrate concentration, pH, and cell concentration. The data analysis module, which is connected to the data acquisition module, is used to construct a fermentation coupling model based on the changes in reactant information inside the fermenter within a target time period, construct a microbial growth curve based on changes in environmental information, and determine the key microbial growth zone based on the microbial growth curve. The data determination module, which is connected to the data analysis module, is used to determine the microbial fermentation process based on the fermentation coupling model and the key microbial growth zone, and to determine whether the microbial fermentation meets the preset standards based on the microbial fermentation process. A control and adjustment module, connected to both the data determination module and the data analysis module, is used to determine the control and adjustment method of the fermenter based on the determination result that the microbial fermentation process does not meet a preset standard. This includes... The environmental information adjustment amount is determined based on the key environmental information corresponding to the critical microbial growth zone. Alternatively, the predicted reactant information can be determined based on the fermentation coupling model, and the nutrient solution addition parameters, including the amount of nutrient solution added and the addition time, can be determined based on the predicted reactant information.

2. The microbial fermentation control system based on intelligent sensors according to claim 1, characterized in that, The data acquisition module includes: The environmental information acquisition submodule includes several environmental monitoring components set at several first preset positions in the monitoring area inside the fermenter; The reactant information acquisition submodule includes several reactant monitoring components set at several second preset locations in the fermentation area inside the fermenter.

3. The microbial fermentation control system based on intelligent sensors according to claim 2, characterized in that, The data analysis module includes: An environmental information analysis submodule, which is connected to the environmental information acquisition submodule, is used to determine the environmental change curve corresponding to each first preset location and the environmental characterization curve corresponding to each acquisition time point based on the environmental information change at each first preset location, and to determine the target time period and key preset location based on the environmental change curve and the environmental characterization curve.

4. The microbial fermentation control system based on intelligent sensors according to claim 3, characterized in that, The data analysis module also includes: The curve construction submodule, which is connected to the environmental information analysis submodule, is used to determine the fermentation environment influence coefficient based on the changes in environmental information at key preset locations within the target time period, and to construct a microbial growth curve based on the fermentation influence coefficient.

5. The microbial fermentation control system based on intelligent sensors according to claim 4, characterized in that, The data analysis module also includes: The model construction submodule, which is connected to the reactant information acquisition submodule, is used to determine several reactant fermentation factors based on the changes in reactant information at each of the second preset locations, and to construct a fermentation coupling model based on each reactant fermentation factor.

6. The microbial fermentation control system based on intelligent sensors according to claim 5, characterized in that, The data analysis module also includes: The curve analysis submodule, which is connected to the curve construction submodule, is used to determine the critical zone of microbial growth based on the curve change rate of the microbial growth curve.

7. The microbial fermentation control system based on intelligent sensors according to claim 6, characterized in that, The data determination module includes: The fermentation process determination submodule is connected to the model construction submodule and the curve analysis submodule, respectively. It is used to determine the key time period based on the duration of the key growth zone of the microorganism, and to determine the microbial fermentation process based on the changes in reactant information within the key time period and the fermentation coupling model.

8. The microbial fermentation control system based on intelligent sensors according to claim 7, characterized in that, The data determination module also includes: The fermentation determination submodule, which is connected to the fermentation process determination submodule, is used to determine standard fermentation indicators based on the microbial fermentation process, and to determine whether the microbial fermentation meets the preset standards based on the comparison results between the current environmental information and the current reactant information and the standard fermentation indicators. If both the current environmental information and the current reactant information meet the standard fermentation indicators, then the microbial fermentation is determined to meet the preset standards.

9. The microbial fermentation control system based on intelligent sensors according to claim 8, characterized in that, The control adjustment module determines the control adjustment mode of the fermenter as the first adjustment mode based on the comparison results of the current environmental information not meeting the standard fermentation indicators. The first adjustment method involves determining the environmental information adjustment amount based on the key environmental information corresponding to the critical microbial growth zone.

10. The microbial fermentation control system based on intelligent sensors according to claim 9, characterized in that, The control adjustment module determines the control adjustment mode of the fermenter to be the second adjustment mode based on the comparison results of the current reactant information not meeting the standard fermentation index. The second adjustment method involves determining the predicted reactant information based on the fermentation coupling model and determining the nutrient solution addition parameters based on the predicted reactant information.

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