A fermentation tank pressure self-adaptive regulating device

Abstract

The present invention discloses a fermentation tank pressure adaptive adjustment device, which relates to the technical field of pressure control and adjustment. The device comprises: receiving fermentation task information of the fermentation tank; extracting the qth fermentation pressure control scheme and the qth fermentation material information corresponding to the qth fermentation node; obtaining the qth fermentation environment prediction information; predicting the fermentation loss of the qth fermentation pressure control scheme, and obtaining the qth fermentation loss prediction index; optimizing and adjusting the qth fermentation pressure control scheme, and generating the qth optimized fermentation pressure control scheme; and adjusting the pressure of the fermentation tank retroactively. The device solves the technical problem that the existing fermentation tank pressure adjustment is difficult to accurately extract the information characteristics of the fermentation node in the face of a complex and changeable fermentation process, which leads to the inability to accurately adjust the pressure in the tank in real time, resulting in poor fermentation efficiency and quality, and realizes efficient and accurate control of the fermentation process, achieving the technical effect of improving fermentation efficiency and stability.

Description

Technical Field

[0001] The present application relates to the field of pressure control and regulation, and in particular to a fermentation tank pressure adaptive regulation device. Background Art

[0002] In modern bioengineering and fermentation technology, fermentation tanks are crucial equipment, among which pressure control is the key factor to ensure the smooth progress of the fermentation process. With the rapid development of biotechnology, higher requirements are placed on the precise control of environmental parameters in the fermentation process, especially in the fermentation process under high pressure or special gas environment. The stable control of the pressure in the tank not only affects the growth rate of microorganisms and product quality, but is also directly related to the safety and economy of the production process. Traditional fermentation tank pressure control often relies on manual adjustment or simple mechanical control systems. This method is incapable of coping with complex and changeable fermentation processes. It cannot accurately extract the pressure control scheme and material information corresponding to each fermentation node, and cannot adjust the pressure in the tank in real time and accurately, so that the pressure in the fermentation process is always kept in the best state, affecting the efficiency, stability and controllability of the fermentation process.

[0003] Therefore, in the current fermentation tank pressure regulation technology, there is a technical problem that it is difficult to accurately extract the information characteristics of the fermentation nodes in the face of the complex and changeable fermentation process, which leads to the inability to accurately adjust the pressure in the tank in real time, resulting in poor fermentation efficiency and quality. Summary of the invention

[0004] The present application provides a fermentation tank pressure adaptive regulation device, which adopts technical means such as feature extraction, solution optimization, and traceability regulation to solve the technical problem that the existing fermentation tank pressure regulation is difficult to accurately extract the information features of the fermentation nodes in the face of a complex and changeable fermentation process, which leads to the inability to accurately regulate the pressure in the tank in real time, resulting in poor fermentation efficiency and quality. The application realizes efficient and precise control of the fermentation process, and achieves the technical effect of improving fermentation efficiency and stability.

[0005] The present application provides a fermentation tank pressure adaptive regulation device, the device comprising: a fermentation task receiving component, the fermentation task receiving component is used to receive the fermentation task information of the fermentation tank, the fermentation task information includes Q fermentation pressure control schemes and Q fermentation material information corresponding to Q fermentation nodes, wherein Q is a positive integer greater than 1; a task feature extraction component, the task feature extraction component is used to extract the qth fermentation pressure control scheme and the qth fermentation material information corresponding to the qth fermentation node according to the fermentation task information, wherein q is a positive integer and q belongs to Q; a fermentation environment prediction component, the fermentation environment prediction component is used to perform environmental prediction on the fermentation tank according to the qth fermentation node environment prediction, obtaining the qth fermentation environment prediction information; a fermentation loss prediction component, the fermentation loss prediction component is used to predict the fermentation loss of the qth fermentation pressure control scheme according to the qth fermentation environment prediction information and the qth fermentation material input information, and obtain the qth fermentation loss prediction index; a fermentation tuning component, the fermentation tuning component is based on an embedded fermentation pressure optimization algorithm, combined with the qth fermentation loss prediction index to optimize the qth fermentation pressure control scheme, and generate a qth optimized fermentation pressure control scheme; a fermentation pressure tracing adjustment component, the fermentation pressure tracing adjustment component is used to perform pressure tracing adjustment on the fermentation tank based on the qth optimized fermentation pressure control scheme.

[0006] In a possible implementation, the fermentation loss prediction component also performs the following processing: the fermentation loss prediction component includes a fermentation simulation channel, a fermentation evaluation channel and a fermentation loss calculation function; the basic information of the fermentation tank is collected to generate basic data of the fermentation tank; based on the fermentation simulation channel, a fermentation simulation model is established in combination with the basic data of the fermentation tank, the qth fermentation environment prediction information and the qth fermentation material input information; based on the fermentation evaluation channel, a fermentation simulation evaluation is performed according to the qth fermentation pressure control scheme and the fermentation simulation model to generate a qth fermentation rate evaluation coefficient, a qth fermentation product quality evaluation coefficient and a qth fermentation safety evaluation coefficient; the qth fermentation rate evaluation coefficient, the qth fermentation product quality evaluation coefficient and the qth fermentation safety evaluation coefficient are input into the fermentation loss calculation function to generate the qth fermentation loss prediction index.

[0007] In a possible implementation, the fermentation loss prediction component further performs the following processing: the fermentation loss calculation function is:

[0008] ;

[0009] in, Characterizing the fermentation loss prediction index, , , Calculate the gain constraint for fermentation losses, , , are greater than 0, and , , The sum of is 1, Characterize the fermentation loss calculation factor, and greater than 1, Characterize the fermentation rate evaluation coefficient, Characterize the expected fermentation rate evaluation coefficient, Characterize the quality evaluation coefficient of fermentation products, Characterize the quality evaluation coefficient of the expected fermentation product, Characterize the fermentation safety evaluation factor, Characterize the expected fermentation safety evaluation factor.

[0010] In a possible implementation, the fermentation loss prediction component also performs the following processing: simulated fermentation is performed according to the qth fermentation pressure control scheme and the fermentation simulation model to obtain simulated fermentation rate monitoring data, simulated fermentation product monitoring data and simulated fermentation safety monitoring data; the fermentation evaluation channel includes a fermentation rate evaluation model, a fermentation product quality evaluation model and a fermentation safety evaluation model; the simulated fermentation rate monitoring data is input into the fermentation rate evaluation model to obtain the qth fermentation rate evaluation coefficient; the simulated fermentation product monitoring data is input into the fermentation product quality evaluation model to obtain the qth fermentation product quality evaluation coefficient; the simulated fermentation safety monitoring data is input into the fermentation safety evaluation model to obtain the qth fermentation safety evaluation coefficient.

[0011] In a possible implementation, the fermentation tuning component also performs the following processing: the fermentation tuning component includes a predetermined fermentation loss prediction index; it is determined whether the qth fermentation loss prediction index is less than the predetermined fermentation loss prediction index; if the qth fermentation loss prediction index is greater than / equal to the predetermined fermentation loss prediction index, the pressure regulation constraint interval of the fermentation tank is activated; according to the pressure regulation constraint interval and the predetermined fermentation loss prediction index, in combination with the fermentation loss prediction component, the qth fermentation pressure control scheme is subjected to fermentation loss constraint optimization, and a qth fermentation pressure control scheme optimization source that satisfies the constraint optimization capacity constraint is generated; according to the qth fermentation pressure control scheme optimization source, fermentation loss minimization optimization is performed to generate the qth optimized fermentation pressure control scheme.

[0012] In a possible implementation, the fermentation tuning component further performs the following processing: adjusting the qth fermentation pressure control scheme according to the pressure adjustment constraint interval to generate a first adjusted fermentation pressure control scheme; calculating the first fermentation loss prediction index corresponding to the first adjusted fermentation pressure control scheme according to the fermentation loss prediction component; judging whether the first fermentation loss prediction index is less than the predetermined fermentation loss prediction index; if the first fermentation loss prediction index is less than the predetermined fermentation loss prediction index, adding the first adjusted fermentation pressure control scheme to the qth fermentation pressure control scheme optimization source; if the first fermentation loss prediction index is greater than / equal to the predetermined fermentation loss prediction index, eliminating the first adjusted fermentation pressure control scheme, and continuing to perform fermentation loss constraint optimization on the qth fermentation pressure control scheme according to the pressure adjustment constraint interval, the predetermined fermentation loss prediction index and the fermentation loss prediction component until the qth fermentation pressure control scheme optimization source that satisfies the constraint optimization capacity constraint is obtained.

[0013] In a possible implementation, the fermentation pressure tracing and adjustment component also performs the following processing: controlling the fermentation tank based on the qth optimized fermentation pressure control scheme, and collecting real-time fermentation pressure data according to the fermentation pressure tracing and adjustment component; mapping and comparing the qth optimized fermentation pressure control scheme with the real-time fermentation pressure data to generate a fermentation pressure deviation vector; performing a deviation depth assessment based on the fermentation pressure deviation vector to generate a fermentation pressure deviation depth coefficient; determining whether the fermentation pressure deviation depth coefficient is greater than a fermentation pressure deviation depth threshold; if the fermentation pressure deviation depth coefficient is greater than the fermentation pressure deviation depth threshold, performing pressure regulation on the fermentation tank according to the fermentation pressure deviation vector.

[0014] In a possible implementation, the fermentation pressure tracing and adjustment component also performs the following processing: according to the fermentation pressure tracing and adjustment component, the qth fermentation real-time environmental information of the fermentation tank is obtained; according to the qth fermentation environment prediction information and the qth fermentation real-time environmental information, a deviation comparison is performed to generate a qth fermentation environment deviation vector; according to the qth fermentation environment deviation vector, an evaluation of the impact of fermentation pressure control is performed to generate a qth environmental deviation fermentation pressure influence coefficient; it is determined whether the qth environmental deviation fermentation pressure influence coefficient is greater than the preset environmental deviation fermentation pressure influence coefficient; if the qth environmental deviation fermentation pressure influence coefficient is greater than the preset environmental deviation fermentation pressure influence coefficient, compensating and adjusting the qth optimized fermentation pressure control scheme according to the qth fermentation environment deviation vector.

[0015] The present application proposes a fermentation tank pressure adaptive adjustment device to receive the fermentation task information of the fermentation tank; extract the qth fermentation pressure control scheme and the qth fermentation material information corresponding to the qth fermentation node; obtain the qth fermentation environment prediction information; predict the fermentation loss of the qth fermentation pressure control scheme and obtain the qth fermentation loss prediction index; optimize the qth fermentation pressure control scheme and generate the qth optimized fermentation pressure control scheme; and perform pressure traceability adjustment on the fermentation tank. This solves the technical problem that the existing fermentation tank pressure adjustment is difficult to accurately extract the information characteristics of the fermentation nodes in the face of complex and changeable fermentation processes, which leads to the inability to accurately adjust the pressure in the tank in real time, resulting in poor fermentation efficiency and quality. This achieves efficient and accurate control of the fermentation process and achieves the technical effect of improving fermentation efficiency and stability. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the technical solution of the embodiment of the present disclosure, the accompanying drawings of the embodiment of the present disclosure will be briefly introduced below. A flow chart is used in the present application to illustrate the operations performed by the device according to the embodiment of the present application. It should be understood that the previous or following operations are not necessarily performed precisely in order. On the contrary, various steps can be processed in reverse order or simultaneously as needed. At the same time, other operations can also be added to these processes, or one or more operations can be removed from these processes.

[0017] Figure 1 A schematic diagram of the structure of a fermentation tank pressure adaptive regulation device provided in an embodiment of the present application;

[0018] Figure 2 A schematic diagram of the execution process of a fermentation loss prediction component in a fermentation tank pressure adaptive regulation device provided in an embodiment of the present application.

[0019] Description of the reference numerals: fermentation task receiving component 10 , task feature extraction component 20 , fermentation environment prediction component 30 , fermentation loss prediction component 40 , fermentation optimization component 50 , fermentation pressure tracing and adjustment component 60 . DETAILED DESCRIPTION

[0020] The above description is only an overview of the technical solution of the present application. In order to more clearly understand the technical means of the present application, it can be implemented in accordance with the contents of the specification. In order to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are listed below.

[0021] In order to make the purpose, technical solutions and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings. The described embodiments should not be regarded as limiting the present application. All other embodiments obtained by ordinary technicians in the field without making creative work are within the scope of protection of this application.

[0022] In the following description, reference is made to "some embodiments", which describe a subset of all possible embodiments, but it is understood that "some embodiments" may be the same subset or different subsets of all possible embodiments, and may be combined with each other without conflict, and the terms "first\second" involved are merely to distinguish similar objects and do not represent a specific ordering of objects. The terms "including" and "having" and any variations are intended to cover non-exclusive inclusions, for example, a process, device, product, or server that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or modules that are not clearly listed or inherent to these processes, products, or devices. Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those generally understood by technicians in the technical field of this application. The terms used herein are for the purpose of describing the embodiments of the present application only.

[0023] The present application embodiment provides a fermentation tank pressure adaptive regulation device, such as Figure 1 As shown, the device comprises:

[0024] The fermentation task receiving component 10 is used to receive the fermentation task information of the fermentation tank, and the fermentation task information includes Q fermentation pressure control schemes and Q fermentation material delivery information corresponding to Q fermentation nodes, wherein Q is a positive integer greater than 1. The fermentation task information refers to the task information and related operation information of each key stage (i.e., fermentation node) in the entire fermentation process, including the operation requirements, pressure control schemes and material delivery information of multiple fermentation nodes. The role of the fermentation task receiving component is to accurately receive and parse this information to provide precise guidance for the subsequent fermentation process. Specifically, the Q fermentation nodes refer to the Q key stages set in the fermentation process, each stage has its specific operation and control requirements, and the Q fermentation nodes may be set based on time, temperature, pH value, dissolved oxygen content, etc. The Q fermentation pressure control schemes refer to the conditions at each fermentation node in order to maintain or adjust the pressure in the fermentation tank. The specific control strategy set according to the pressure, such as adjusting the opening of the air inlet valve, changing the gas composition in the fermentation tank, adjusting the stirring speed, etc., to ensure that the pressure in the tank can reach the preset optimal value at each fermentation node. The Q fermentation material information details the type, quantity and method of material to be added at each fermentation node. These fermentation materials may include strains, nutrients, acid-base regulators, etc. Their amount and timing of addition have an important influence on the smooth progress of the fermentation process and the quality of the final product. Q is a positive integer greater than 1, which means that the fermentation process is divided into multiple stages, and each stage has its specific control and operation requirements.

[0025] The task feature extraction component 20 is used to extract the qth fermentation pressure control scheme and the qth fermentation material information corresponding to the qth fermentation node according to the fermentation task information, wherein q is a positive integer and q belongs to Q. The function of the task feature extraction component is to parse and extract the key feature information of each fermentation node according to the received fermentation task information, and the qth fermentation node refers to one of the Q fermentation nodes. Specifically, the task feature extraction component identifies and extracts the pressure control scheme corresponding to the qth fermentation node from the fermentation task information, including a series of instructions and parameters, such as target pressure value, pressure adjustment rate, pressure maintenance time, etc., which are used to guide the fermentation tank on how to adjust and control the pressure at this node; in addition to the pressure control scheme, the task feature extraction component also extracts the material information related to the qth fermentation node, including the type, quantity, and time of the materials to be put on the fermentation node, so as to ensure that the correct materials are added to the fermentation tank at the right time to meet the nutritional and condition requirements of the fermentation process. Through the work of the task feature extraction component, detailed operation instructions and parameters for each fermentation node can be obtained, providing accurate data support for subsequent fermentation environment prediction, fermentation loss prediction, and fermentation tuning steps, thereby improving fermentation efficiency and product quality.

[0026] The fermentation environment prediction component 30 is used to predict the environment of the fermentation tank according to the qth fermentation node and obtain the qth fermentation environment prediction information. The fermentation environment prediction component is responsible for predicting the environment in the fermentation tank according to the known fermentation task information, especially the specific parameters of the qth fermentation node (such as the qth fermentation pressure control scheme and the qth fermentation material information). The function of the fermentation environment prediction component is to simulate and predict the change trend and state of various environmental parameters (such as temperature, pH value, dissolved oxygen, pressure, etc.) in the fermentation tank at the qth fermentation node. Specifically, all known information related to the qth fermentation node is collected, including the fermentation pressure control scheme, material information, historical fermentation data, etc. Based on the collected data, a prediction model is established using a machine learning algorithm to describe the change law and relationship of environmental parameters during the fermentation process. The specific parameters of the qth fermentation node are input into the prediction model to simulate the change of environmental parameters in the fermentation tank under this condition, and the results of the simulation prediction are output as the qth fermentation environment prediction information, including the change trend of various environmental parameters in the future period, the possible extreme values, and the warning of abnormal conditions. The fermentation environment prediction component can predict environmental changes in advance before the environmental parameters in the fermentation tank change, so as to take corresponding measures in time to adjust and optimize, ensure that the fermentation process is carried out under the best environmental conditions, and improve fermentation efficiency and product quality.

[0027] The fermentation loss prediction component 40 is used to predict the fermentation loss of the qth fermentation pressure control scheme according to the qth fermentation environment prediction information and the qth fermentation input material information, and obtain the qth fermentation loss prediction index. The fermentation loss prediction component mainly predicts the fermentation loss of the qth fermentation pressure control scheme according to the qth fermentation environment prediction information and the qth fermentation input material information, and obtains the qth fermentation loss prediction index. Specifically, the fermentation loss prediction component takes the qth fermentation environment prediction information and the qth fermentation input material information as input, simulates and predicts the fermentation process under the qth fermentation pressure control scheme. During the prediction process, the influence of environmental factors (such as temperature, humidity, oxygen concentration, etc.) on the growth and metabolism of microorganisms and the influence of input materials on the fermentation process are considered, so as to predict the fermentation loss that may occur at the qth fermentation node. After simulation and prediction, the fermentation loss prediction component outputs the corresponding qth fermentation loss prediction index. The qth fermentation loss prediction index is used to indicate the degree of loss that may occur in the fermentation process at the qth fermentation node based on the current environmental prediction and input material information. The high or low index reflects the pros and cons of the current fermentation scheme.

[0028] Fermentation tuning component 50, the fermentation tuning component 50 optimizes the qth fermentation pressure control scheme based on the embedded fermentation pressure optimization algorithm and the qth fermentation loss prediction index to generate the qth optimized fermentation pressure control scheme. The fermentation tuning component optimizes the qth fermentation pressure control scheme based on the embedded fermentation pressure optimization algorithm and the qth fermentation loss prediction index to generate the qth optimized fermentation pressure control scheme. Specifically, the fermentation pressure optimization algorithm is designed based on the operating principles of fermentation engineering and bioreactors, and can accurately optimize pressure control for specific fermentation tasks. By simulating and analyzing the effects of pressure on microbial growth, metabolism and product accumulation during the fermentation process, combined with real-time data feedback, the pressure control scheme is dynamically adjusted to achieve the best fermentation effect. In the optimization process, the qth fermentation loss prediction index is fully considered, and the fermentation losses that may occur under the current pressure control scheme are quantitatively evaluated. The fermentation tuning component analyzes the current pressure. The component will iteratively adjust the pressure control parameters (such as pressure set value, pressure change rate, etc.) according to the built-in fermentation pressure optimization algorithm. In each iteration, the component will re-evaluate the qth fermentation loss prediction index under the new pressure control scheme and compare it with the previous result. If the new scheme can reduce the prediction loss, the component will accept the scheme and continue to look for a better solution; otherwise, it will abandon the scheme and try other possible parameter combinations. After multiple iterations and optimization, it will eventually generate an optimized qth fermentation pressure control scheme, which can minimize the prediction loss and improve the fermentation efficiency and product quality while ensuring the smooth progress of the fermentation process.

[0029] The fermentation pressure tracing and regulating component 60 is used to perform pressure tracing and regulating on the fermentation tank based on the qth optimized fermentation pressure control scheme. The fermentation pressure tracing and regulating component receives the qth optimized fermentation pressure control scheme as input, and traces and regulates the pressure in the fermentation tank according to the optimized scheme. Specifically, the fermentation pressure tracing and regulating component monitors and collects the fermentation tank in real time through sensors and other equipment, obtains the real-time pressure data and other related parameters (such as temperature, pH value, dissolved oxygen content, etc.) of the fermentation tank, compares the real-time pressure data with the target pressure value in the qth optimized fermentation pressure control scheme, analyzes the difference between the real-time data and the target value, and determines whether adjustment is required. If there is a deviation between the real-time pressure and the target value, the adjustment mechanism is started, such as adjusting the gas flow, using a pressure sensor to automatically control the pressure, etc., so that the pressure in the fermentation tank gradually approaches and stabilizes within the target value range. Through accurate pressure tracing and regulating, it can be ensured that the pressure in the fermentation tank is always kept within the range that is most conducive to fermentation, thereby improving the fermentation efficiency and product quality.

[0030] According to an embodiment of the present invention, a fermentation tank pressure adaptive adjustment device is used to solve the technical problem that the existing fermentation tank pressure adjustment is difficult to accurately extract the information characteristics of the fermentation node in the face of a complex and changeable fermentation process, which leads to the inability to accurately adjust the pressure in the tank in real time, resulting in poor fermentation efficiency and quality, and realizes efficient and accurate control of the fermentation process, achieving the technical effect of improving fermentation efficiency and stability. A fermentation tank pressure adaptive adjustment device includes: a fermentation task receiving component 10, a task feature extraction component 20, a fermentation environment prediction component 30, a fermentation loss prediction component 40, a fermentation optimization component 50, and a fermentation pressure tracing adjustment component 60.

[0031] The specific configuration of the fermentation loss prediction component 40 will be described in detail below. Figure 2 As shown, the fermentation loss prediction component 40 may further include: the fermentation loss prediction component includes a fermentation simulation channel, a fermentation evaluation channel and a fermentation loss calculation function. The fermentation simulation channel refers to the use of virtual simulation technology to simulate the entire fermentation process, simulate the changes in key parameters such as temperature, pressure, pH value in the fermentation tank, and the growth and metabolic process of microorganisms, including the input of raw materials, the conversion of reactants, the generation and collection of products, etc. Through simulation, the influence of different parameters on the fermentation process can be analyzed, and the dynamic changes of the fermentation process under given conditions can be predicted; the fermentation evaluation channel is responsible for evaluating the quality and efficiency of the fermentation process, including the feasibility of the process, economic benefits and product quality, etc., specifically, evaluating whether the fermentation process can achieve the expected goals, such as the taste and purity of the product, comparing the ratio of input to output, evaluating the economic effect of the fermentation process, and evaluating the quality of the product by testing the ingredients, taste, aroma, etc. of the product; the fermentation loss calculation function is used to quantitatively predict the loss in the fermentation process, specifically, input the data provided by the fermentation simulation channel and the fermentation evaluation channel, such as the change trend of key parameters, the quality evaluation results of the product, etc., output the fermentation loss prediction index, and calculate the potential losses of different fermentation schemes.

[0032] The fermentation loss prediction component 40 also includes collecting the basic information of the fermenter and generating the basic data of the fermenter. The basic data of the fermenter includes the equipment information and real-time operation data of the fermenter. Specifically, the equipment information includes the technical parameters such as the design capacity, working pressure, and working temperature of the fermenter. The real-time operation data includes the temperature data of different areas or layers in the fermenter, the pressure data in the fermenter (such as the intake pressure, exhaust pressure, etc.), the speed data of the stirring device equipped with the fermenter, the liquid level data in the fermenter, the gas flow data entering or exiting the fermenter, the pH value of the fermentation liquid, and the dissolved oxygen content. It also includes, based on the fermentation simulation channel, combining the basic data of the fermenter, the qth fermentation environment prediction information, and the qth fermentation material information, to establish a fermentation simulation model. Based on the fermentation simulation channel, the basic data of the fermenter, the qth fermentation environment prediction information, and the qth fermentation material information are used as input data to simulate various reactions and changes in the fermentation process, such as the growth, metabolism, and product generation of microorganisms, and output simulation results, such as the predicted fermentation product yield, quality, fermentation time, etc., and finally establish a fermentation simulation model.

[0033] The fermentation loss prediction component 40 also includes, based on the fermentation evaluation channel, performing fermentation simulation evaluation according to the qth fermentation pressure control scheme and the fermentation simulation model, generating the qth fermentation rate evaluation coefficient, the qth fermentation product quality evaluation coefficient and the qth fermentation safety evaluation coefficient. The qth fermentation rate evaluation coefficient is used to evaluate the growth rate of microorganisms, the generation rate of metabolites, etc. during the qth batch fermentation process. The qth fermentation rate evaluation coefficient can be generated by comparing the fermentation rate predicted by the simulation model with the actual fermentation rate and combining the influence of the pressure control scheme on the fermentation rate; the qth fermentation product quality evaluation coefficient is used to evaluate the quality of the qth batch of fermentation products, including sensory indicators such as taste, color, and smell, as well as physical and chemical indicators such as chemical composition and nutritional value. The qth fermentation product quality evaluation coefficient is generated by comparing the product quality predicted by the simulation model with the actual product quality and combining the influence of the pressure control scheme on the product quality; the qth fermentation safety evaluation coefficient is used to evaluate the safety of the qth batch fermentation process, including microbial safety, chemical safety, etc. The qth fermentation safety evaluation coefficient is generated by comparing the safety risk predicted by the simulation model with the safety risk in the actual fermentation process and combining the influence of the pressure control scheme on safety. The fermentation loss prediction component 40 further includes inputting the qth fermentation rate evaluation coefficient, the qth fermentation product quality evaluation coefficient and the qth fermentation safety evaluation coefficient into the fermentation loss calculation function to generate the qth fermentation loss prediction index.

[0034] The specific configuration of the fermentation loss prediction component 40 will be described in detail below. The fermentation loss prediction component 40 may further include: the fermentation loss calculation function is:

[0035] ;

[0036] in, Characterizing the fermentation loss prediction index, , , Calculate the gain constraint for fermentation losses, , , are greater than 0, and , , The sum of is 1, Characterize the fermentation loss calculation factor, and greater than 1, Characterize the fermentation rate evaluation coefficient, Characterize the expected fermentation rate evaluation coefficient, Characterize the quality evaluation coefficient of fermentation products, Characterize the quality evaluation coefficient of the expected fermentation product, Characterize the fermentation safety evaluation factor, Characterize the expected fermentation safety evaluation factor.

[0037] The specific configuration of the fermentation loss prediction component 40 will be described in detail below. The fermentation loss prediction component 40 may further include: performing simulated fermentation according to the qth fermentation pressure control scheme and the fermentation simulation model to obtain simulated fermentation rate monitoring data, simulated fermentation product monitoring data and simulated fermentation safety monitoring data. The simulated fermentation is carried out in a virtual environment using the qth fermentation pressure control scheme and the fermentation simulation model. The model will simulate the changes in pressure during the fermentation process according to the input pressure control scheme, and predict the changes in other fermentation parameters (such as temperature, pH value, dissolved oxygen content, metabolites, etc.) caused by this, and obtain simulated fermentation rate monitoring data, simulated fermentation product monitoring data and simulated fermentation safety monitoring data. Specifically, the simulated fermentation rate monitoring data is the monitoring data of microbial growth and metabolic rate during the simulation process, reflecting the speed and efficiency of the fermentation process under a given pressure control scheme; the simulated fermentation product monitoring data is the monitoring data of metabolites produced during the simulation process, which may include the concentration, type, generation rate, etc. of various metabolites, reflecting the quality and yield of fermentation products under given conditions; the simulated fermentation safety monitoring data is the monitoring data of safety-related parameters during the simulation process, which may include the risk of microbial contamination, accumulation of chemical substances, and safety problems that may be caused by excessive or low pressure.

[0038] The fermentation loss prediction component 40 also includes that the fermentation evaluation channel includes a fermentation rate evaluation model, a fermentation product quality evaluation model and a fermentation safety evaluation model. The fermentation rate evaluation model is used to evaluate the growth rate of microorganisms and the generation rate of metabolites during the fermentation process. Through simulation or actual measurement data, the change trend of the fermentation rate is analyzed to determine whether it meets the expected goals or optimization requirements, such as the growth of the bacteria per unit time, the generation of products, etc.; the fermentation product quality evaluation model is used to evaluate the quality of the fermentation product, including physical indicators, chemical indicators, microbial indicators, etc., and through the detection and analysis of various indicators of the fermentation product, its quality is evaluated to meet the standard requirements or meet market demand, such as the appearance, color, texture, pH value, acidity, nutrients, bacterial population quantity and type of the product; the fermentation safety evaluation model is used to evaluate the safety of the fermentation process, including microbial safety, chemical safety and other aspects. By detecting and analyzing the harmful substances and microbial contamination that may be generated during the fermentation process, its impact on human health is evaluated, such as the toxic substances that may exist in food, the risk of microbial contamination, the accumulation of chemical substances, etc. It also includes inputting the simulated fermentation rate monitoring data into the fermentation rate evaluation model to obtain the qth fermentation rate evaluation coefficient; inputting the simulated fermentation product monitoring data into the fermentation product quality evaluation model to obtain the qth fermentation product quality evaluation coefficient; and inputting the simulated fermentation safety monitoring data into the fermentation safety evaluation model to obtain the qth fermentation safety evaluation coefficient.

[0039] Below, the specific configuration of the fermentation tuning component 50 will be described in detail. The fermentation tuning component 50 may further include: the fermentation tuning component includes a predetermined fermentation loss prediction index. The predetermined fermentation loss prediction index refers to a fermentation loss prediction index pre-set based on historical data, which is convenient for timely discovery and adjustment of adverse factors in the fermentation process to reduce losses, improve production efficiency and product quality. It also includes judging whether the qth fermentation loss prediction index is less than the predetermined fermentation loss prediction index. It also includes activating the pressure regulation constraint interval of the fermenter if the qth fermentation loss prediction index is greater than / equal to the predetermined fermentation loss prediction index. When the qth fermentation loss prediction index is greater than or equal to the predetermined fermentation loss prediction index, the fermentation process may have a greater risk of loss or adverse factors have occurred, and the pressure regulation constraint interval of the fermenter is activated. Specifically, the pressure regulation constraint interval of the fermenter is a set of preset pressure ranges or restrictions based on the characteristics of the fermentation process and empirical data to ensure that the fermentation process is carried out in a safe and efficient state.

[0040] The fermentation tuning component 50 also includes, according to the pressure adjustment constraint interval and the predetermined fermentation loss prediction index, in combination with the fermentation loss prediction component, performing fermentation loss constraint optimization on the qth fermentation pressure control scheme, and generating the qth fermentation pressure control scheme optimization source that satisfies the constraint optimization capacity constraint. Fermentation loss constraint optimization refers to minimizing the fermentation loss prediction index while satisfying the pressure adjustment constraint interval and other possible constraints (such as temperature, pH value constraints, etc.), finding a set of optimal fermentation pressure control parameters (such as pressure setting value, pressure change rate, etc.), and after the fermentation loss constraint optimization process, generating the qth fermentation pressure control scheme optimization source that satisfies the constraint optimization capacity constraint, which includes the optimal fermentation pressure control parameters and the corresponding control strategy. It also includes performing fermentation loss minimization optimization according to the qth fermentation pressure control scheme optimization source to generate the qth optimized fermentation pressure control scheme. An objective optimization function is set with the goal of minimizing fermentation losses. According to the objective function and the constraints in the optimization source, the fermentation pressure control parameters are optimized and calculated to find a set of optimal fermentation pressure control parameters so that the objective function (i.e., fermentation losses) is minimized, and finally the qth optimized fermentation pressure control scheme is generated.

[0041] The specific configuration of the fermentation tuning component 50 will be described in detail below. The fermentation tuning component 50 may further include: adjusting the qth fermentation pressure control scheme according to the pressure adjustment constraint interval to generate a first adjustment fermentation pressure control scheme. Identify the qth fermentation pressure control scheme, including parameters such as the pressure value set during the fermentation process and the pressure change rate. According to the pressure adjustment constraint interval and the actual situation of the current fermentation process, the system will adjust the qth fermentation pressure control scheme, such as adjusting the set pressure value, changing the pressure change rate, optimizing the pressure control strategy, etc., and then generate a new fermentation pressure control scheme, that is, the first adjustment fermentation pressure control scheme. The first adjustment fermentation pressure control scheme refers to the corresponding scheme after the qth fermentation pressure control scheme is adjusted. It also includes, according to the fermentation loss prediction component, calculating the first fermentation loss prediction index corresponding to the first adjustment fermentation pressure control scheme. The first adjustment fermentation pressure control scheme is applied to the fermentation loss prediction component for analysis and processing, and the corresponding first fermentation loss prediction index is calculated to reflect the fermentation loss level that may occur under the new control scheme.

[0042] The fermentation optimization component 50 also includes judging whether the first fermentation loss prediction index is less than the predetermined fermentation loss prediction index; if the first fermentation loss prediction index is less than the predetermined fermentation loss prediction index, adding the first fermentation pressure control scheme to the qth fermentation pressure control scheme optimization source. The first fermentation loss prediction index is compared with the predetermined fermentation loss prediction index. If the first fermentation loss prediction index is less than the predetermined fermentation loss prediction index, it means that the current first fermentation pressure control scheme can produce a fermentation loss lower than the preset threshold in prediction, and the first fermentation pressure control scheme is added to the qth fermentation pressure control scheme optimization source. The qth fermentation pressure control scheme optimization source contains all possible fermentation pressure control schemes found in the optimization process that meet certain conditions (such as the fermentation loss prediction index is lower than the predetermined threshold). It also includes eliminating the first fermentation pressure control scheme if the first fermentation loss prediction index is greater than / equal to the predetermined fermentation loss prediction index.

[0043] The fermentation tuning component 50 also includes, according to the pressure regulation constraint interval, the predetermined fermentation loss prediction index and the fermentation loss prediction component, continuing to perform fermentation loss constraint optimization on the qth fermentation pressure control scheme until the qth fermentation pressure control scheme optimization source that satisfies the constraint optimization capacity constraint is obtained. During the fermentation process, the preset constraints and prediction components are used to continuously iterate and optimize the fermentation pressure control scheme until an optimal solution set that satisfies both the pressure regulation constraint interval and the fermentation loss limit is found. Specifically, the particle swarm optimization algorithm is used to search for the optimal fermentation pressure control scheme within the pressure regulation constraint interval. During the search process, the fermentation loss prediction component is used to calculate the fermentation loss prediction index of each candidate solution, and the candidate solution whose fermentation loss prediction index is higher than the predetermined fermentation loss prediction index is excluded. If the optimal solution that satisfies all constraints is not found at present, new candidate solutions are continuously generated, and fermentation loss prediction and evaluation are repeated. After multiple iterations and optimizations, a qth fermentation pressure control scheme optimization source that satisfies the constraint optimization capacity constraint is generated, which includes multiple optimal or suboptimal solutions within the pressure regulation constraint interval and whose fermentation loss prediction index is lower than the predetermined threshold.

[0044] The specific configuration of the fermentation pressure tracing and regulating component 60 will be described in detail below. The fermentation pressure tracing and regulating component 60 may further include: controlling the fermentation tank based on the qth optimized fermentation pressure control scheme, and collecting real-time fermentation pressure data according to the fermentation pressure tracing and regulating component. The fermentation tank is controlled by the qth optimized fermentation pressure control scheme, that is, the pressure in the fermentation tank is automatically adjusted and controlled according to the parameters and strategies in the pressure control scheme. During the fermentation process, the fermentation pressure tracing and regulating component continuously collects the real-time fermentation pressure data in the fermentation tank using the integrated pressure sensor and data acquisition module to obtain the real-time fermentation pressure data. It also includes mapping and comparing the qth optimized fermentation pressure control scheme with the real-time fermentation pressure data to generate a fermentation pressure deviation vector. Mapping and comparing refers to comparing the expected pressure value set in the qth optimized fermentation pressure control scheme with the actual fermentation pressure data collected in real time. If there is a deviation between the real-time data and the expected data, the size and direction of the deviation are calculated and organized into a vector, that is, a fermentation pressure deviation vector. It also includes performing a deviation depth assessment according to the fermentation pressure deviation vector to generate a fermentation pressure deviation depth coefficient. Deviation depth assessment refers to the quantitative analysis of the fermentation pressure deviation vector, which aims to determine the severity of the deviation and the possible impact on the fermentation process, such as the size of the deviation (i.e. the difference between the actual pressure value and the expected value), the duration of the deviation, the frequency of the deviation, and the trend of the deviation (whether it is gradually increasing or decreasing). Based on the results of the deviation depth assessment, a fermentation pressure deviation depth coefficient is generated to quantify the severity of the fermentation pressure deviation.

[0045] The fermentation pressure tracing and regulating component 60 also includes judging whether the fermentation pressure deviation depth coefficient is greater than the fermentation pressure deviation depth threshold. It also includes, if the fermentation pressure deviation depth coefficient is greater than the fermentation pressure deviation depth threshold, regulating the pressure of the fermentation tank according to the fermentation pressure deviation vector. If the fermentation pressure deviation depth coefficient is greater than the fermentation pressure deviation depth threshold, it means that the current fermentation pressure deviation has had an impact on the fermentation process that cannot be ignored, and immediate measures need to be taken to correct it. By analyzing the deviation vector, key information such as the size, duration, frequency of occurrence, and trend of the deviation can be understood. According to the analysis of the fermentation pressure deviation vector, a corresponding pressure regulation strategy is formulated, such as adjusting the opening of the exhaust valve, changing the feed rate, adjusting the stirring speed, etc., in order to gradually restore the pressure in the fermentation tank to the expected value, thereby eliminating the deviation.

[0046] Below, the specific configuration of the fermentation pressure tracing and regulating component 60 will be described in detail. The fermentation pressure tracing and regulating component 60 may further include: obtaining the qth fermentation real-time environmental information of the fermenter according to the fermentation pressure tracing and regulating component. The fermentation real-time environmental information of the fermenter, such as real-time pressure data, temperature data, pH value, dissolved oxygen data, etc., is collected and recorded in real time by the fermentation pressure tracing and regulating component. It also includes performing a deviation comparison based on the qth fermentation environment prediction information and the qth fermentation real-time environmental information to generate the qth fermentation environment deviation vector. The qth fermentation environment prediction information is compared with the qth fermentation real-time environmental information to find the difference between the predicted value and the actual value, that is, the deviation, and the deviation values ​​of each parameter are organized into a vector, that is, the qth fermentation environment deviation vector, which contains the deviation information of multiple parameters at different time points or stages. It also includes performing a fermentation pressure control impact evaluation based on the qth fermentation environment deviation vector to generate the qth environmental deviation fermentation pressure influence coefficient. Fermentation pressure control impact evaluation refers to the assessment of the correlation and sensitivity between environmental deviation and fermentation pressure. For example, a small change in some environmental parameters may have a significant impact on the fermentation pressure, and a large change in some parameters may have a small impact on the fermentation pressure. Based on the evaluation results, the qth environmental deviation fermentation pressure influence coefficient is generated, which indicates the degree of influence of environmental deviation on fermentation pressure.

[0047] The fermentation pressure traceability adjustment component 60 also includes judging whether the qth environmental deviation fermentation pressure influence coefficient is greater than the preset environmental deviation fermentation pressure influence coefficient; if the qth environmental deviation fermentation pressure influence coefficient is greater than the preset environmental deviation fermentation pressure influence coefficient, compensating and adjusting the qth optimized fermentation pressure control scheme according to the qth fermentation environment deviation vector. Among them, the preset environmental deviation fermentation pressure influence coefficient refers to the threshold value set according to the characteristics and requirements of the fermentation process, which is used to judge whether the influence of the actual environmental deviation on the fermentation pressure control has reached the level that requires compensatory adjustment measures. The qth environmental deviation fermentation pressure influence coefficient and the preset environmental deviation fermentation pressure influence coefficient are compared. If the qth environmental deviation fermentation pressure influence coefficient is greater than the preset environmental deviation fermentation pressure influence coefficient, it means that the current environmental deviation has a greater impact on the fermentation pressure, and measures need to be taken for compensatory adjustment to maintain the stability of the fermentation process and optimize the fermentation effect. Specifically, based on the qth fermentation environmental deviation vector, a compensatory adjustment scheme is formulated for the qth optimized fermentation pressure control scheme, such as adjusting the temperature, pH value, stirring speed and other parameters in the fermentation tank, and controlling the fermentation tank according to the optimized fermentation pressure control scheme after compensation adjustment, so as to improve the stability and efficiency of the fermentation process, reduce production costs and optimize product quality.

[0048] Although the present application makes various references to certain components in the apparatus according to the embodiments of the present application, any number of different components may be used and run on a user terminal and / or server, and the various units and components included are only divided according to functional logic, but are not limited to the above division, as long as the corresponding functions can be implemented; in addition, the specific names of the functional units are only for the convenience of distinguishing each other, and are not used to limit the scope of protection of the present invention.

[0049] The above specific implementations do not constitute a limitation on the protection scope of this application. It should be understood by those skilled in the art that various modifications, combinations and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principles of this application should be included in the protection scope of this application.

Claims

1. A fermentation tank pressure adaptive regulating device, characterized in that: The device comprises: A fermentation task receiving component, wherein the fermentation task receiving component is used to receive fermentation task information of the fermentation tank, wherein the fermentation task information includes Q fermentation pressure control schemes and Q fermentation material input information corresponding to Q fermentation nodes, wherein Q is a positive integer greater than 1; A task feature extraction component, wherein the task feature extraction component is used to extract the qth fermentation pressure control scheme and the qth fermentation material input information corresponding to the qth fermentation node according to the fermentation task information, wherein q is a positive integer and q belongs to Q; A fermentation environment prediction component, the fermentation environment prediction component is used to perform an environment prediction on the fermentation tank according to the qth fermentation node to obtain qth fermentation environment prediction information; a fermentation loss prediction component, the fermentation loss prediction component being used to predict the fermentation loss of the qth fermentation pressure control scheme according to the qth fermentation environment prediction information and the qth fermentation material input information, and obtain a qth fermentation loss prediction index; A fermentation tuning component, wherein the fermentation tuning component optimizes the qth fermentation pressure control scheme based on an embedded fermentation pressure optimization algorithm and in combination with the qth fermentation loss prediction index to generate a qth optimized fermentation pressure control scheme; A fermentation pressure tracing and regulating component, wherein the fermentation pressure tracing and regulating component is used to tracing and regulating the pressure of the fermentation tank based on the qth optimized fermentation pressure control scheme; The fermentation loss prediction component performs the following steps: The fermentation loss prediction component includes a fermentation simulation channel, a fermentation evaluation channel and a fermentation loss calculation function; Collecting basic information of the fermentation tank to generate basic data of the fermentation tank; Based on the fermentation simulation channel, combined with the basic data of the fermentation tank, the qth fermentation environment prediction information and the qth fermentation material input information, a fermentation simulation model is established; Based on the fermentation evaluation channel, a fermentation simulation evaluation is performed according to the qth fermentation pressure control scheme and the fermentation simulation model to generate a qth fermentation rate evaluation coefficient, a qth fermentation product quality evaluation coefficient and a qth fermentation safety evaluation coefficient; Inputting the qth fermentation rate evaluation coefficient, the qth fermentation product quality evaluation coefficient and the qth fermentation safety evaluation coefficient into the fermentation loss calculation function to generate the qth fermentation loss prediction index; Wherein, the fermentation loss calculation function is: ； in, Characterizing the fermentation loss prediction index, , , Calculate the gain constraint for fermentation losses, , , are greater than 0, and , , The sum of is 1, Characterize the fermentation loss calculation factor, and greater than 1, Characterize the fermentation rate evaluation coefficient, Characterize the expected fermentation rate evaluation coefficient, Characterize the quality evaluation coefficient of fermentation products, Characterize the quality evaluation coefficient of the expected fermentation product, Characterize the fermentation safety evaluation factor, Characterize the expected fermentation safety evaluation factor; The fermentation tuning component performs the following steps: The fermentation tuning component includes a predetermined fermentation loss prediction index; Determining whether the qth fermentation loss prediction index is less than the predetermined fermentation loss prediction index; If the qth fermentation loss prediction index is greater than / equal to the predetermined fermentation loss prediction index, activating the pressure regulation constraint interval of the fermentation tank; According to the pressure regulation constraint interval and the predetermined fermentation loss prediction index, the fermentation loss prediction component is combined to perform fermentation loss constraint optimization on the qth fermentation pressure control scheme to generate a qth fermentation pressure control scheme optimization source that satisfies the constraint optimization capacity constraint; According to the qth fermentation pressure control scheme optimization source, the fermentation loss is minimized and optimized to generate the qth optimized fermentation pressure control scheme; The fermentation pressure tracing and regulating component performs the following steps: Controlling the fermentation tank based on the qth optimized fermentation pressure control scheme, and collecting real-time fermentation pressure data according to the fermentation pressure tracing and regulating component; Mapping and comparing the qth optimized fermentation pressure control scheme with the real-time fermentation pressure data to generate a fermentation pressure deviation vector; Performing deviation depth evaluation according to the fermentation pressure deviation vector to generate a fermentation pressure deviation depth coefficient; Determining whether the fermentation pressure deviation depth coefficient is greater than a fermentation pressure deviation depth threshold; If the fermentation pressure deviation depth coefficient is greater than the fermentation pressure deviation depth threshold, the fermentation tank is pressure-regulated according to the fermentation pressure deviation vector.

2. A fermentation tank pressure adaptive regulating device as claimed in claim 1, characterized in that: The fermentation loss prediction component performs the following steps: Perform simulated fermentation according to the qth fermentation pressure control scheme and the fermentation simulation model to obtain simulated fermentation rate monitoring data, simulated fermentation product monitoring data and simulated fermentation safety monitoring data; The fermentation evaluation channel includes a fermentation rate evaluation model, a fermentation product quality evaluation model and a fermentation safety evaluation model; Inputting the simulated fermentation rate monitoring data into the fermentation rate evaluation model to obtain the qth fermentation rate evaluation coefficient; Inputting the simulated fermentation product monitoring data into the fermentation product quality evaluation model to obtain the qth fermentation product quality evaluation coefficient; The simulated fermentation safety monitoring data is input into the fermentation safety evaluation model to obtain the qth fermentation safety evaluation coefficient.

3. A fermentation tank pressure adaptive regulating device as claimed in claim 1, characterized in that: The fermentation tuning component performs the following steps: Adjusting the qth fermentation pressure control scheme according to the pressure adjustment constraint interval to generate a first adjusted fermentation pressure control scheme; Calculating, according to the fermentation loss prediction component, a first fermentation loss prediction index corresponding to the first fermentation pressure adjustment control scheme; determining whether the first fermentation loss prediction index is less than the predetermined fermentation loss prediction index; If the first fermentation loss prediction index is less than the predetermined fermentation loss prediction index, adding the first adjusted fermentation pressure control scheme to the qth fermentation pressure control scheme optimization source; If the first fermentation loss prediction index is greater than / equal to the predetermined fermentation loss prediction index, the first fermentation pressure adjustment control scheme is eliminated; The fermentation loss constraint optimization of the qth fermentation pressure control scheme is continued according to the pressure regulation constraint interval, the predetermined fermentation loss prediction index and the fermentation loss prediction component until the qth fermentation pressure control scheme optimization source that satisfies the constraint optimization capacity constraint is obtained.

4. A fermentation tank pressure adaptive regulating device as claimed in claim 1, characterized in that: The fermentation pressure tracing and regulating component performs the following steps: According to the fermentation pressure tracing and regulating component, obtaining the qth fermentation real-time environmental information of the fermentation tank; Perform deviation comparison based on the qth fermentation environment prediction information and the qth fermentation real-time environment information to generate a qth fermentation environment deviation vector; Perform fermentation pressure control impact evaluation according to the qth fermentation environment deviation vector to generate a qth environment deviation fermentation pressure impact coefficient; Determine whether the qth environmental deviation fermentation pressure influence coefficient is greater than a preset environmental deviation fermentation pressure influence coefficient; If the qth environmental deviation fermentation pressure influence coefficient is greater than the preset environmental deviation fermentation pressure influence coefficient, the qth optimized fermentation pressure control scheme is compensated and adjusted according to the qth fermentation environment deviation vector.

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