Agricultural bacterial fertilizer fermentation feeding regulation and control method and system

Abstract

The invention relates to the technical field of bioengineering, in particular to an agricultural bacterial fertilizer fermentation feeding regulation and control method and system. The method comprises the following steps: acquiring a key metabolic parameter and a local viscosity parameter of each control zone; a regulation and control strategy is selected to carry out material supplementing regulation and control on each control zone, and a material supplementing regulation and control result of each control zone is obtained; if the key metabolic parameter is lower than the set point and the local viscosity parameter is normal, conventional material supplementing is executed, and if the key metabolic parameter is lower than the set point and the local viscosity parameter of the fermentation liquor is located between a normal baseline range and a danger threshold value, material supplementing operation on the control subarea is reduced or stopped, and an early warning signal is triggered; and if the key metabolic parameter is lower than the set point and the local viscosity parameter of the fermentation liquid is higher than the dangerous threshold value, stopping the material supplementing operation of the control subarea. The invention aims to solve the problems that the local fermentation environment in the fermentation tank is continuously deteriorated and the stability and success rate of the agricultural bacterial fertilizer fermentation process cannot be guaranteed in the prior art.

Description

Technical Field

[0001] The present invention relates to the field of bioengineering technology, and in particular to a method and system for controlling feeding of agricultural bacterial fertilizer fermentation. Background Art

[0002] Agricultural fertilizer production utilizes large fermentation tanks. To ensure efficient fermentation, these tanks are often equipped with complex process control systems. For example, a multi-point feeding and zoning control system is employed, which virtually divides the large tank into several relatively independent control zones. Each zone has its own independent feeding lines, actuators, and multiple sensors, such as dissolved oxygen electrodes and pH meters, for real-time monitoring of key environmental parameters. However, the fermentation process is essentially a living activity, and microorganisms, as living systems, exhibit inherent delays, adaptability, and nonlinear metabolic behavior. When a microbial population in a control zone is continuously exposed to a microenvironment created by high-frequency control, where the effective nutrient concentration oscillates rapidly and minutely around the optimal set point, this non-steady-state supply pattern can be perceived by the microbial system as an environmental stress.

[0003] Existing process control systems are unable to discern the cause of a drop in dissolved oxygen signals and are prone to misinterpreting this as insufficient substrate leading to suppressed microbial respiration. This in turn instructs the feeding system to further increase the feed rate in that area. This exacerbates the stress on the microorganisms, prompting them to produce more exopolysaccharides, further increasing the local viscosity. This leads to a failed state in which the fermentation broth becomes highly viscous, mass transfer stagnates, and metabolism nears its end. Consequently, high-frequency feeding control induces a microbial stress response, leading to a local increase in the fermentation broth's viscosity. This in turn distorts sensor readings of key metabolic parameters such as dissolved oxygen. This distorted data causes the control system to make erroneous feeding decisions, exacerbating the problem. Ultimately, the local fermentation environment within the fermenter continues to deteriorate, making it impossible to ensure the stability and success rate of the agricultural fertilizer fermentation process. Summary of the Invention

[0004] The purpose of the present invention is to provide a method and system for regulating feeding of agricultural fertilizer fermentation, which is used to solve the problem that the existing technology makes erroneous feeding decisions based on distorted data, resulting in continuous deterioration of the local fermentation environment in the fermentation tank and failure to ensure the stability and success rate of the agricultural fertilizer fermentation process.

[0005] To achieve the above object, the present invention adopts the following technical solution: a method for controlling the fermentation of agricultural bacterial fertilizers, comprising: Obtaining key metabolic parameters of each control zone in the agricultural fertilizer fermentation tank and local viscosity parameters of the fermentation liquid in each control zone; Based on the key metabolic parameters of each control partition and the local viscosity parameters of the fermentation broth of each control partition, selecting a control strategy to perform feeding control on each control partition, and obtaining a feeding control result for each control partition; The control strategy includes: If the key metabolic parameter is lower than the preset process set point and the local viscosity parameter of the fermentation broth is within the preset normal baseline range, conventional feeding is performed; If the key metabolic parameter is lower than a preset process set point, and the local viscosity parameter of the fermentation broth is between a preset normal baseline range and a dangerous threshold, reducing or stopping the feeding operation of the control zone and triggering an early warning signal; If the key metabolic parameter is lower than a preset process set point and the local viscosity parameter of the fermentation broth is higher than the danger threshold, the feeding operation of the control partition is stopped and a physical intervention operation to reduce the local viscosity of the fermentation broth is initiated.

[0006] According to one embodiment of the present invention, the step of initiating a physical intervention operation to reduce the local viscosity of the fermentation broth comprises: The rotation speed of the local stirring blade in the control zone is increased to enhance the shear force to destroy the viscous liquid boundary layer, thereby reducing the local viscosity of the fermentation liquid.

[0007] According to one embodiment of the present invention, the step of increasing the rotation speed of the local stirring paddle of the control partition includes: Increasing the rotation speed of the local stirring paddle of the control partition in a preset step size to obtain the real-time rotation speed of the stirring paddle and the local real-time viscosity of the fermentation liquid; If the real-time rotation speed corresponding to the first decrease in the local real-time viscosity of the fermentation liquid is not greater than the preset critical stirring speed, adjusting the inflection point speed to the speed of the local stirring paddle of the control partition; If the real-time rotation speed of the stirring paddle is greater than the preset critical stirring speed, the preset critical stirring speed is adjusted to the rotation speed of the local stirring paddle in the control zone.

[0008] According to one embodiment of the present invention, the step of increasing the speed of the local stirring paddle of the control zone by a preset step size to obtain the real-time speed of the stirring paddle and the local real-time viscosity of the fermentation liquid includes: Using a preset step size as a gradient, gradually increasing the speed of the local stirring paddle of the control partition by a gradient within a fixed period of time, and obtaining the real-time speed of the stirring paddle and the local real-time viscosity of the fermentation liquid; Determining a viscosity change rate based on the local real-time viscosity of the fermentation broth; If the viscosity change rate is greater than a preset viscosity threshold, increasing the rotation speed of the local stirring paddle of one of the control zones by a preset step size; If the viscosity change rate is not greater than the preset viscosity threshold, the real-time rotation speed of the stirring paddle is maintained.

[0009] According to one embodiment of the present invention, after the step of initiating the physical intervention operation to reduce the local viscosity of the fermentation liquid is performed, the method further includes: monitoring key metabolic parameters in each of the control zones during the execution of the physical intervention operation, and obtaining a change rate value of the key metabolic parameter; If the acquired change rate value of the key metabolic parameter exceeds a preset change rate threshold, the state of the control partition where feeding is stopped is maintained; If the acquired change rate value of the key metabolic parameter is not greater than the preset change rate threshold, the state of the control partition where feeding is stopped is changed to perform reduced or normal feeding.

[0010] According to one embodiment of the present invention, the step of monitoring the key metabolic parameters in each of the control zones during the execution of the physical intervention operation and obtaining the change rate value of the key metabolic parameters includes: acquiring raw measurement signals of the key metabolic parameters of each of the control partitions during the execution of the physical intervention program; Acquiring a sensor impact indicator parameter representing a direct impact of the physical intervention operation on the sensor of the key metabolic parameter; Based on the original measurement signal and the sensor impact indicator parameter, the original measurement signal is corrected to obtain a corrected key metabolic parameter signal; Based on the corrected key metabolic parameter signal, a change rate value of the key metabolic parameter is determined.

[0011] According to one embodiment of the present invention, the step of obtaining a sensor impact indicator parameter representing a direct impact of the physical intervention operation on the sensor of the key metabolic parameter includes: Obtaining the operating parameters of the physical intervention operation and the physical property parameters reflecting the physicochemical properties of the fermentation liquid; The sensor impact indicator parameter is determined based on the corresponding relationship between the operating parameters of the physical intervention operation, the physical property parameters, and the preset correspondence between the degree of direct influence of the operating parameters on the sensors of key metabolic parameters under different physicochemical properties of the fermentation liquid.

[0012] According to one embodiment of the present invention, the step of determining the sensor impact indicator parameter based on the correspondence between the operating parameters of the physical intervention operation, the physical property parameters, and the preset relationship between the degree of direct impact of the operating parameters on the key metabolic parameters of the sensor under different physicochemical properties of the fermentation liquid includes: Determine the impact deviation between the preset direct impact degree and the actual direct impact degree based on the operating parameters of the physical intervention program in the preset calibration stage, the physical property parameters reflecting the physicochemical properties of the fermentation liquid in the preset calibration stage, the original measurement signals of the key metabolic parameters in the preset calibration stage, and the calibration reference value; Based on the impact deviation, the preset corresponding relationship is adjusted to obtain an adjusted corresponding relationship; The sensor impact indication parameter is determined based on the operation parameter of the physical intervention operation, the physical property parameter and the adjusted corresponding relationship.

[0013] According to an embodiment of the present invention, the step of adjusting the preset corresponding relationship based on the influence deviation to obtain the adjusted corresponding relationship includes: Adjusting one or more adjustable parameters in the preset corresponding relationship based on the impact deviation; After the deviation between the sensor direct influence degree determined based on the adjusted one or more adjustable parameters and the actual sensor direct influence degree is reduced, the adjusted corresponding relationship is obtained.

[0014] The present invention also provides an agricultural bacterial fertilizer fermentation feeding control system, which includes: An acquisition module is used to obtain key metabolic parameters of each control partition in the agricultural fertilizer fermentation tank and local viscosity parameters of the fermentation liquid in each control partition; A feeding control module is used to select a control strategy to perform feeding control on each control partition based on the key metabolic parameters of each control partition and the local viscosity parameters of the fermentation liquid of each control partition, so as to obtain a feeding control result for each control partition; The control strategy includes: If the key metabolic parameter is lower than the preset process set point and the local viscosity parameter of the fermentation broth is within the preset normal baseline range, conventional feeding is performed; If the key metabolic parameter is lower than a preset process set point, and the local viscosity parameter of the fermentation broth is between a preset normal baseline range and a dangerous threshold, reducing or stopping the feeding operation of the control zone and triggering an early warning signal; If the key metabolic parameter is lower than a preset process set point and the local viscosity parameter of the fermentation broth is higher than the danger threshold, the feeding operation of the control partition is stopped and a physical intervention operation to reduce the local viscosity of the fermentation broth is initiated.

[0015] Compared with the prior art, the agricultural fertilizer fermentation feeding control method and system of the present invention has the following advantages: The present invention provides a method and system for controlling feeding of agricultural fertilizer fermentation, which realizes multi-dimensional perception of the state of the fermentation process by continuously acquiring the key metabolic parameters of each control zone in the agricultural fertilizer fermentation tank and the local viscosity parameters of the fermentation liquid in each control zone. Since the key metabolic parameters reflecting the activity of microorganisms and the local viscosity parameters reflecting the characteristics of the fluid are mastered at the same time, when the key metabolic parameters decrease, they are further analyzed in combination with the local viscosity parameters. If the local viscosity is within the preset normal baseline range, it is judged as real metabolic consumption, and conventional feeding is performed to meet the needs of microorganisms. If the local viscosity has increased, it is judged that the decrease in the key metabolic parameters may be partially or mainly caused by the limited mass transfer caused by the viscosity. According to the degree of viscosity increase, a strategy of reducing or stopping feeding is adopted, and an early warning may be triggered to avoid further deterioration. When the local viscosity is higher than the dangerous threshold, the feeding is stopped immediately, and a physical intervention operation is initiated to directly act on the fermentation liquid to reduce the viscosity, thereby improving the mass transfer conditions and restoring the accuracy of the sensor function. The differentiated control logic based on dual-parameter joint judgment effectively identifies and interrupts the vicious cycle of high-frequency feeding inducing increased viscosity, increased viscosity leading to signal distortion, and signal distortion causing erroneous feeding, ensuring the stability and success rate of the agricultural fertilizer fermentation process. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the specific embodiments of the present invention, the following briefly introduces the drawings required for use in the specific embodiments. In all the drawings, each element or part is not necessarily drawn according to the actual scale.

[0017] Figure 1 The present invention provides a flow chart of a method for controlling the fermentation of agricultural bacterial fertilizers.

[0018] Figure 2 This is a structural block diagram of an agricultural bacterial fertilizer fermentation feeding control system of the present invention.

[0019] In the figure: acquisition module 210, feeding control module 220.

[0020] The implementation and advantages of the functions of the present invention will be further explained in conjunction with embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0021] The following diagrams illustrate various embodiments of the present invention. For clarity, many practical details are included in the following description. However, it should be understood that these practical details are not intended to limit the present invention. In other words, in some embodiments of the present invention, these practical details are not essential. Furthermore, to simplify the drawings, some commonly used structures and components are depicted in simplified schematic form.

[0022] It should be noted that all directional indications in the embodiments of the present invention (such as up, down, left, right, front, back, etc.) are only used to explain the relative position relationship, movement status, etc. between the various components under a certain specific posture (as shown in the accompanying drawings). If the specific posture changes, the directional indication will also change accordingly.

[0023] In addition, in the present invention, descriptions such as "first" and "second" are only used for descriptive purposes and do not specifically refer to the order or sequence, nor are they used to limit the present invention. They are only used to distinguish components or operations described with the same technical terms, and cannot be understood as indicating or implying their relative importance or implicitly indicating the number of technical features indicated. Therefore, the features defined as "first" and "second" may explicitly or implicitly include at least one such feature. In addition, the technical solutions between the various embodiments can be combined with each other, but they must be based on the ability of ordinary technicians in this field to implement them. When the combination of technical solutions is contradictory or cannot be implemented, it should be deemed that such a combination of technical solutions does not exist and is not within the scope of protection required by the present invention.

[0024] Conventional agricultural biofertilizer fermentation processes, particularly in large-scale fermenters employing multi-point feeding and zoned control strategies, can induce microbial stress responses when high-frequency feeding is applied. This stress response causes microorganisms to synthesize exopolysaccharides, resulting in a sharp increase in the local viscosity of the fermentation broth. This increased viscosity significantly degrades mass and heat transfer efficiency within this zone, particularly interfering with sensors measuring key metabolic parameters such as dissolved oxygen, leading to distorted sensor readings. Existing controllers are unable to distinguish whether the drop in sensor readings is due to actual metabolic consumption or a false indication of decreased mass transfer caused by increased viscosity. Consequently, they make erroneous feeding decisions based on the distorted data, further exacerbating microbial stress and prompting them to produce more exopolysaccharides, creating a vicious cycle. For example, in a large-scale agricultural biofertilizer fermentation tank, high-frequency feeding caused microorganisms in one control zone to produce large amounts of exopolysaccharides, causing the local viscosity of the fermentation broth in that zone to rapidly rise from a normal 10 mPa / s to 50 mPa / s. The dissolved oxygen electrode installed in this zone experiences a thickening of the liquid boundary layer on the probe membrane due to increased viscosity, significantly slowing the transfer of oxygen molecules from the bubbles to the electrode membrane. Consequently, the dissolved oxygen electrode reading rapidly drops from the normal 50% saturation to 10% saturation. Conventional control systems interpret this signal as insufficient dissolved oxygen, assuming that microbial respiration is suppressed and that increased substrate supply is necessary. Consequently, they instruct the feeding system to increase the feed rate in this zone. However, the actual problem is impeded mass transfer, not insufficient substrate. Increasing feed further stimulates microbial production of exopolysaccharides, further increasing the local viscosity to 100 mPa / s or even higher. The dissolved oxygen reading may drop to near zero, mass transfer nearly stagnating, and microbial metabolic activity in this zone virtually ceases. This, in turn, deteriorates the local fermentation environment within the fermenter, making it impossible to maintain the stability and success rate of the agricultural fertilizer fermentation process, resulting in reduced production efficiency and significant economic losses.

[0025] In order to further understand the content, features and effects of the present invention, the following embodiments are given as examples and described in detail with reference to the accompanying drawings: See also Figure 1 The present invention provides a method for controlling the feeding of agricultural fertilizer fermentation, comprising the following steps: S100. Obtain the key metabolic parameters of each control partition in the agricultural fertilizer fermentation tank and the local viscosity parameters of the fermentation liquid in each control partition. Among them, each control partition in the agricultural fertilizer fermentation tank refers to a large fermentation tank divided into multiple relatively independent areas in space, which is mainly for the purpose of realizing localized monitoring and control of the fermentation process. Key metabolic parameters refer to indicators that reflect the growth status and metabolic activity of microorganisms in the fermentation tank, including dissolved oxygen concentration, pH value, substrate concentration and carbon dioxide emission rate. The local viscosity parameter of the fermentation liquid refers to the fluid viscosity of the fermentation liquid in a specific area of ​​the fermentation tank, which is measured or estimated by an online viscosity sensor, a rheometer or based on stirring power, etc. It is mainly used to indicate the rheological properties of the fermentation liquid and the mass transfer and heat transfer barriers.

[0026] S200. Based on the key metabolic parameters of each control partition and the local viscosity parameters of the fermentation liquid in each control partition, a control strategy is selected to perform feeding control on each control partition to obtain the feeding control result of each control partition. The control strategy is used to guide the decision-making of feeding operations and physical intervention operations. Specifically, the present invention combines the key metabolic parameters with the local viscosity parameters of the fermentation liquid, and selects different control strategies based on different combination states of the two, thereby distinguishing whether the decrease in key metabolic parameters is caused by real metabolic demand or sensor signal distortion caused by increased local viscosity, thereby achieving the effect of avoiding erroneous feeding decisions, interrupting vicious cycles and ensuring the stability of the fermentation process.

[0027] The control strategy includes: If the key metabolic parameter is lower than the preset process set point and the local viscosity parameter of the fermentation broth is within the preset normal baseline range, conventional feeding is performed.

[0028] If the key metabolic parameter is lower than the preset process set point and the local viscosity parameter of the fermentation broth is between the preset normal baseline range and the danger threshold, the feeding operation of the control partition is reduced or stopped and an early warning signal is triggered.

[0029] If the key metabolic parameter is lower than a preset process set point and the local viscosity parameter of the fermentation broth is higher than the danger threshold, the feeding operation of the control partition is stopped and a physical intervention operation to reduce the local viscosity of the fermentation broth is initiated.

[0030] In this embodiment, the agricultural fertilizer fermentation tank is divided into three control zones: upper, middle, and lower. Key metabolic parameters can be obtained by installing dissolved oxygen sensors and pH sensors in each zone, and local viscosity parameters of the fermentation broth can be obtained by installing online viscosity sensors in each zone. These sensors transmit real-time data to a central control unit. The control unit has a built-in preset control strategy. For example, when the dissolved oxygen concentration in a zone falls below a preset process set point, the control unit checks the local viscosity parameter of that zone. If the local viscosity parameter is within a preset normal baseline range, the control unit instructs the feed pump in that zone to perform normal feeding operations. If the local viscosity parameter is between the preset normal baseline range and the danger threshold, the control unit instructs the feed pump to reduce or stop feeding and sends an early warning signal to the operation interface. If the local viscosity parameter is above the danger threshold, the control unit instructs the feed pump to immediately stop feeding and initiates physical intervention operations, such as increasing the speed of the local agitator in that zone to increase shear force and reduce the local viscosity of the fermentation broth.

[0031] The solution of this application achieves multi-dimensional perception of the fermentation process status by continuously acquiring key metabolic parameters for each control zone within an agricultural fertilizer fermentation tank, as well as the local viscosity parameters of the fermentation liquid in each control zone. By simultaneously acquiring key metabolic parameters reflecting microbial activity and local viscosity parameters reflecting fluid properties, the control system can use this combined information to determine the actual conditions of each zone within the fermentation tank. When a key metabolic parameter decreases, it is not simply attributed to insufficient substrate, but is further analyzed in conjunction with the local viscosity parameters. If the local viscosity is within the preset normal baseline range, it is determined to be true metabolic consumption, and conventional feeding is implemented to meet microbial needs. However, if the local viscosity has increased, the decrease in key metabolic parameters may be partially or primarily due to mass transfer limitations caused by viscosity. In this case, continuing conventional feeding will only exacerbate microbial stress and viscosity issues. Therefore, depending on the degree of viscosity increase, a strategy of reducing or stopping feeding is adopted, and an early warning may be triggered to prevent further deterioration. Specifically, when local viscosity exceeds a dangerous threshold, feeding is immediately stopped and physical intervention is initiated, directly affecting the fermentation broth to reduce viscosity, thereby improving mass transfer conditions and restoring sensor accuracy. This differentiated control logic, based on dual-parameter combined judgment, effectively identifies and interrupts the vicious cycle of high-frequency feeding-induced viscosity increases, which in turn leads to signal distortion, and finally to incorrect feeding caused by signal distortion, thus ensuring the stable operation of the fermentation process.

[0032] Based on some of the above embodiments, this example further proposes that the steps of initiating the physical intervention operation to reduce the local viscosity of the fermentation broth include: The speed of the local stirring paddle in the control zone is increased to enhance shear force, disrupting the viscous liquid boundary layer and reducing the local viscosity of the fermentation broth. Specifically, upon detecting that a key metabolic parameter is below a preset process set point and the local viscosity is above a dangerous threshold, the feeding operation in the control zone is stopped and the speed of the local stirring paddle in the control zone is further increased. This operation can enhance the shear force exerted by the stirring paddle on the highly viscous fermentation broth. This enhanced shear force can act on the viscous liquid boundary layer formed by the accumulation of substances such as extracellular polysaccharides, disrupting its structure and thereby reducing the local viscosity of the fermentation broth. This reduction in viscosity improves mass transfer conditions within the fermentation broth, particularly the efficiency of transfer of key substances such as dissolved oxygen from the gas or liquid phase to the microbial cells and sensor surface. This restored mass transfer efficiency enables the sensor installed in the control zone to measure the true state of the fermentation broth, avoiding measurement distortion caused by viscosity. Therefore, by increasing the local impeller speed to reduce viscosity, normal mass transfer in the local area can be quickly and effectively restored, allowing the control system to make subsequent adjustments based on the data. This breaks the adverse cycle in existing technologies where increased viscosity leads to sensor distortion, which in turn causes erroneous feeding decisions, and ensures the stable operation of the fermentation process. For example, the speed can be increased to a certain percentage of the impeller's rated upper speed limit, or to a value within a speed range that has been proven to reduce viscosity. When the speed is increased, the impeller blades rotate at high speed in the fermentation liquid, generating significant shear forces. This shear force acts on the viscous liquid layer between the impeller surface and the main body of the fermentation liquid, tearing and dispersing accumulated extracellular polysaccharides or other sticky substances, thereby disrupting the boundary layer structure and reducing the local viscosity of the fermentation liquid.

[0033] Based on some of the above embodiments, this embodiment further proposes that the step of increasing the rotation speed of the local stirring paddle in the control zone includes: The speed of the local stirring paddle in the control zone is increased by a preset step size to obtain the real-time speed of the stirring paddle and the local real-time viscosity of the fermentation liquid. Specifically, the local stirring paddle is driven to gradually increase its rotational speed by a predetermined fixed increment. After each speed increase, the current stirring paddle speed value and the local viscosity value of the fermentation liquid in the control zone are collected in real time by a corresponding sensor or measuring device. The purpose is to obtain the corresponding relationship between the speed and viscosity changes through a refined speed adjustment process, providing a data basis for subsequent speed setting.

[0034] If the real-time speed corresponding to the first decrease in the local real-time viscosity of the fermentation liquid is not greater than the preset critical stirring speed, the inflection point speed is adjusted to the speed of the local stirring paddle in the control zone. Specifically, the real-time stirring paddle speed corresponding to the moment when the local real-time viscosity of the fermentation liquid changes from a stable or increasing trend to a decreasing trend during the gradual increase in the stirring paddle speed is determined. This speed is generally referred to as the inflection point speed. Its purpose is to identify the minimum speed at which viscosity reduction can effectively begin.

[0035] If the real-time stirring speed of the impeller is greater than a preset critical stirring speed, the preset critical stirring speed is adjusted to the speed of the local stirring speed of the impeller in the control zone. The preset critical stirring speed is used to ensure that the stirring speed of the impeller does not exceed a safety threshold that causes significant shear damage to the culture or other adverse effects.

[0036] This application dynamically captures the viscosity response to speed changes by gradually increasing the speed of the local agitator paddles in a controlled zone in preset steps and monitoring the paddle speed and the local viscosity of the fermentation broth in real time. This real-time correspondence between speed and viscosity enables the determination of the speed point at which the local viscosity of the fermentation broth begins to decrease (i.e., the inflection point speed). Furthermore, by comparing this inflection point speed with a preset critical agitation speed, the application intelligently selects a final agitation speed that effectively reduces viscosity while not being too high to damage the bacterial strain or waste energy. Specifically, if viscosity begins to decrease at a lower speed and has not yet exceeded the critical speed, the lower inflection point speed is selected, achieving energy savings and bacterial strain protection. If viscosity does not begin to decrease until the speed exceeds the critical speed, the critical speed is selected as the upper limit, prioritizing bacterial strain safety. This speed adjustment mechanism, based on real-time data feedback and safety threshold determination, optimizes the simple speed increase method, making physical intervention more precise and efficient. This improves support for the overall feeding control strategy, effectively addresses sensor distortion caused by local viscosity increases, avoids erroneous control, and interrupts a vicious cycle. For example, a preset step size of 10 revolutions per minute (rpm) is set. A preset critical stirring speed, such as 300 rpm, is also set. Then, starting from the current stirring speed, the local stirring speed of the control zone is gradually increased in steps of 10 rpm. After each speed increase, a period of time is allowed for system stabilization. The current real-time stirring speed and the local real-time viscosity of the fermentation broth are then obtained. This process continues until the first significant decrease in the local real-time viscosity of the fermentation broth is observed. The real-time speed at this point is recorded, representing the inflection point speed. This inflection point speed is then compared with the preset critical stirring speed. If the inflection point speed is not greater than the preset critical stirring speed, the local stirring speed of the control zone is adjusted and maintained at the inflection point speed. If, during the process of gradually increasing the speed, the real-time speed of the stirring paddle has reached and exceeded the preset critical stirring speed, and the viscosity has not yet shown the first decrease or the decrease is not obvious, the speed of the local stirring paddle in the control zone will be adjusted and maintained at the preset critical stirring speed.

[0037] Based on some of the above embodiments, this embodiment further proposes increasing the speed of the local stirring paddle of the control zone by a preset step size, and obtaining the real-time speed of the stirring paddle and the local real-time viscosity of the fermentation liquid includes: Using a preset step size as a gradient, gradually increasing the speed of the local stirring paddle of the control partition by a gradient within a fixed period of time, and obtaining the real-time speed of the stirring paddle and the local real-time viscosity of the fermentation liquid; Based on the local, real-time viscosity of the fermentation broth, the viscosity change rate is determined. Specifically, the viscosity change rate refers to the rate at which the local viscosity of the fermentation broth changes with time or rotational speed. This rate can be calculated by comparing the current viscosity with the viscosity at the previous moment or step. Its purpose is to quantify the impact of the agitator speed on the viscosity.

[0038] If the viscosity change rate exceeds a preset viscosity threshold, the speed of the local agitator in one of the control zones is increased by a preset step size. The preset viscosity threshold is a value used to determine whether the viscosity change rate is sufficiently significant. It can be set based on fermentation process requirements and experience. Its purpose is to provide a judgment standard to guide subsequent speed adjustment decisions.

[0039] If the viscosity change rate is not greater than the preset viscosity threshold, the real-time rotation speed of the stirring paddle is maintained.

[0040] This application uses a preset step size as a gradient to gradually increase the speed of the local stirring paddle in a controlled area over a fixed period of time, obtain the real-time speed of the stirring paddle and the local real-time viscosity of the fermentation liquid, confirm the viscosity change rate based on the local real-time viscosity of the fermentation liquid, and dynamically adjust the preset step size or maintain the real-time speed of the stirring paddle based on the comparison result of the viscosity change rate with the preset viscosity threshold. It is precisely because of this dynamic feedback mechanism based on the viscosity change rate that the speed increase process can be adjusted according to the actual response of the fermentation liquid to stirring, avoiding blind or fixed speed increase strategies. This method of dynamically adjusting the speed increase step size, combined with the subsequent step of determining the final stirring speed based on the first viscosity drop or the preset critical speed, forms a more sophisticated and intelligent local viscosity reduction strategy. In this way, while effectively destroying the viscous liquid boundary layer and reducing the local viscosity of the fermentation liquid, it can also reduce unnecessary high speed operation time, thereby reducing energy consumption and reducing shear damage to the bacteria.

[0041] Building on the previous embodiment, this embodiment instead of increasing the stirring speed to a fixed high value, initiates a graded, closed-loop regulation process. First, the stirring speed is slightly increased from the current baseline by a preset gradient and maintained for a short time window. During and after this window, the system continuously monitors the viscosity sensor reading at high frequency and calculates the first derivative of the viscosity value, i.e., the viscosity rate of change. If the viscosity rate of change reaches a preset negative target (indicating that viscosity is effectively decreasing), the current stirring intensity is maintained or appropriately reduced until the viscosity returns to a normal range. If the viscosity rate of change does not reach the target, indicating that the current stirring intensity is insufficient to overcome the deterioration in mass transfer, the next round of regulation is automatically executed, increasing the stirring speed by another gradient from the previous level, and repeating the aforementioned monitoring and judgment process. This process is iterative until the lowest stirring intensity that effectively reduces viscosity is found, or the upper speed limit set by the equipment safety setting is reached, triggering a manual intervention alarm. This method introduces the viscosity change rate as a real-time feedback signal for adjusting the stirring intensity, transforming the recovery operation from a fixed, open-loop impact process to a dynamic, closed-loop precise titration process. It achieves the effect of effectively destroying the viscous boundary layer while applying the minimum necessary shear force, minimizing the physical damage to microbial cells, ensuring the biological activity of the fermentation system, and improving the accuracy and safety of the recovery operation.

[0042] Based on some of the above embodiments, this embodiment further proposes that after the step of initiating the physical intervention operation to reduce the local viscosity of the fermentation liquid is performed, the method further includes: Monitor the key metabolic parameters in each of the control partitions during the execution of the physical intervention operation, and obtain the change rate values ​​of the key metabolic parameters. Among them, key metabolic parameters refer to important indicators that characterize the growth of microorganisms, metabolic activities or physical and chemical states of the fermentation liquid in the fermentation tank. They are represented by parameters such as dissolved oxygen, pH, redox potential, carbon dioxide emission rate, substrate concentration and product concentration. The purpose is to reflect the real-time state of the fermentation process. Physical intervention operation refers to the operation of changing the local rheological properties of the fermentation liquid by mechanical or physical means. It can be achieved by increasing the speed of the local stirring blade, introducing gas disturbance, ultrasonic treatment, etc., with the purpose of reducing the local viscosity. The change rate value refers to the rate at which the key metabolic parameter changes over time. It can be obtained by calculating the ratio of the difference between the parameter values ​​of consecutive monitoring points to the time interval. The purpose is to quantify the change trend and speed of the parameter.

[0043] If the acquired rate of change of the key metabolic parameter exceeds a preset rate threshold, the state of the control zone where feeding is stopped is maintained. The preset rate threshold is a value used to determine whether the rate of change of the key metabolic parameter has reached the expected recovery level. It can be determined based on historical fermentation data, process requirements, or model predictions, and is intended to serve as a basis for decision-making on feeding strategy adjustments.

[0044] If the acquired change rate value of the key metabolic parameter is not greater than the preset change rate threshold, the state of the control partition where feeding is stopped is changed to perform reduced or normal feeding.

[0045] The present application introduces a monitoring and judgment link for the rate of change of key metabolic parameters after initiating a physical intervention operation to reduce the local viscosity of the fermentation liquid, thereby being able to dynamically adjust the subsequent feeding strategy for the stopped feeding control partition according to the actual recovery of microbial metabolism. Specifically, during the execution of the physical intervention operation, the key metabolic parameters in each control partition are continuously monitored and the rate of change values ​​of these parameters are calculated. This rate of change value directly reflects the speed at which the microbial metabolism recovers from the inhibition state affected by viscosity. The obtained rate of change value is compared with a preset rate of change threshold. If the rate of change value exceeds the threshold, it indicates that the microbial metabolism is recovering rapidly. At this time, the state of stopped feeding is maintained to avoid premature or excessive feeding causing new disturbances or inhibition to the recovering microbial system. If the rate of change value is not greater than the threshold, it indicates that the microbial metabolism is recovering relatively slowly. At this time, it is necessary to change the state of the control partition and resume feeding. However, reduced or regular feeding can be performed according to the specific situation to provide necessary nutritional support and promote further recovery of microbial metabolism. This feedback control mechanism, based on metabolic recovery rate, complements the shortcomings of physical interventions solely relying on viscosity reduction. It enables more precise management of the fermentation process, avoids potential negative impacts of physical interventions on microbial metabolism, and ensures the stability and efficiency of the fermentation process. By combining viscosity-based physical interventions with metabolic recovery-based feed adjustments, a more comprehensive control loop is formed, effectively addressing localized viscosity anomalies and subsequent metabolic fluctuations.

[0046] Based on some of the above embodiments, this embodiment further proposes that the steps of monitoring the key metabolic parameters in each of the control zones during the execution of the physical intervention operation and obtaining the change rate value of the key metabolic parameters include: The raw measurement signals of the key metabolic parameters of each of the control zones are acquired during the execution of the physical intervention program.

[0047] Obtaining a sensor impact indicator parameter that characterizes the direct effect of the physical intervention on the sensor of the key metabolic parameter. The sensor impact indicator parameter is a numerical value used to quantify the degree of direct interference or impact of the physical intervention on the sensor measurement of the key metabolic parameter. The sensor impact indicator parameter can be obtained based on a preset model, historical data analysis, or real-time monitoring of specific physical quantities to provide a basis for measuring the degree of distortion of sensor readings caused by the physical intervention.

[0048] Based on the original measurement signal and the sensor impact indication parameter, the original measurement signal is corrected to obtain a corrected key metabolic parameter signal.

[0049] Based on the corrected key metabolic parameter signal, a change rate value of the key metabolic parameter is determined.

[0050] During the execution of the physical intervention operation, the present application not only obtains the original measurement signal of the key metabolic parameter, but also obtains the sensor impact indicator parameter that characterizes the direct impact of the physical intervention operation on the sensor. Based on these two pieces of information, the original measurement signal is corrected to obtain a corrected signal that more accurately reflects the true metabolic state. Finally, the change rate value of the key metabolic parameter is calculated based on this corrected signal. This method can effectively distinguish whether the decrease in sensor reading is a real metabolic consumption or a measurement illusion caused by the physical intervention operation. For example, when the impeller speed is increased, the dissolved oxygen sensor reading may rise due to improved mass transfer, or fluctuate due to bubble entrainment, or decrease due to real metabolic changes. By correcting the original dissolved oxygen signal with the sensor impact indicator parameter, the direct impact of the physical intervention operation itself can be stripped off, and a signal that more purely reflects the change in the microbial oxygen consumption rate can be obtained. The change rate value calculated based on this corrected signal can more reliably indicate whether the microorganism has resumed normal metabolism due to reduced viscosity and improved mass transfer, or whether it is still in an abnormal state. This more accurate rate of change value provides a solid foundation for subsequent judgments on whether feeding needs to be resumed or reduced, avoiding incorrect feeding decisions based on distorted signals, thereby effectively interrupting the vicious cycle of increased viscosity, signal distortion, and incorrect control, and ensuring the stable operation of the fermentation process.

[0051] Based on some of the above embodiments, this embodiment further proposes that the steps of obtaining a sensor impact indicator parameter representing a direct impact of the physical intervention operation on the sensor of the key metabolic parameter include: Obtain the operational parameters of the physical intervention operation and physical property parameters reflecting the physicochemical properties of the fermentation broth. The operational parameters of the physical intervention operation refer to the specific execution parameters of the physical intervention, such as agitator speed, gas flow rate, and temperature change rate, and are intended to quantify the intensity of the physical intervention. Physical property parameters, such as viscosity, density, surface tension, and rheological index, are intended to characterize the fermentation broth's response to the physical intervention and its impact on sensor signal transmission.

[0052] The sensor impact indicator parameter is determined based on the corresponding relationship between the operating parameters of the physical intervention operation, the physical property parameters, and the preset correspondence between the degree of direct influence of the operating parameters on the sensors of key metabolic parameters under different physicochemical properties of the fermentation liquid.

[0053] By obtaining the operating parameters of the physical intervention operation and the physical properties of the fermentation liquid, and using a preset corresponding relationship, the present application can predict the direct impact of the physical intervention on the sensor readings of key metabolic parameters and quantify it as a sensor impact indicator parameter. This parameter provides the basis for subsequent correction of the original sensor measurement signal. After initiating the physical intervention operation to reduce the local viscosity of the fermentation liquid, the system monitors the key metabolic parameters in each control zone during the execution of the physical intervention and obtains the rate of change value of the key metabolic parameters. In order to accurately obtain the rate of change value, it is necessary to obtain the original measurement signal of the key metabolic parameters in each control zone during the execution of the physical intervention program, and obtain the sensor impact indicator parameter that characterizes the direct impact of the physical intervention operation on the sensor of the key metabolic parameter. Based on the original measurement signal and the sensor impact indicator parameter, the original measurement signal is corrected to obtain a corrected key metabolic parameter signal. Based on the corrected key metabolic parameter signal, the rate of change value of the key metabolic parameter is confirmed. In this way, the interference of the physical intervention operation on the sensor readings can be eliminated, and more accurate information on metabolic parameter changes can be obtained. This accurate monitoring makes it more reliable to judge whether to maintain or change the state of the control partition where feeding is stopped based on the change rate value, avoiding misjudgment caused by sensor distortion, thereby effectively interrupting the vicious cycle described in the background technology and ensuring the stability and success rate of the fermentation process.

[0054] Based on some of the above embodiments, this embodiment further proposes a correspondence between the operating parameters of the physical intervention operation, the physical property parameters, and the degree of direct impact of the operating parameters on the sensors of key metabolic parameters under preset conditions representing the physical and chemical properties of different fermentation broths. The step of determining the sensor impact indicator parameter includes: Based on the operating parameters of the physical intervention procedure during the preset calibration phase, the physical property parameters reflecting the physicochemical properties of the fermentation broth during the preset calibration phase, the original measurement signals of the key metabolic parameters during the preset calibration phase, and the calibration reference values, the impact deviation between the preset direct impact level and the actual direct impact level is determined. The impact deviation refers to the difference between the preset direct impact level and the actual direct impact level, quantifying the accuracy of the preset correspondence and providing a basis for adjusting the preset correspondence.

[0055] Based on the influence deviation, the preset correspondence is adjusted to obtain an adjusted correspondence. The adjusted correspondence is a new correspondence obtained by modifying the preset correspondence based on the influence deviation. This new correspondence more accurately reflects the actual situation and provides an optimized sensor influence prediction model.

[0056] The sensor impact indicator parameter is determined based on the operating parameters of the physical intervention operation, the physical property parameters, and the adjusted corresponding relationship. The sensor impact indicator parameter is a value calculated based on the operating parameters of the physical intervention operation, the physical property parameters, and the adjusted corresponding relationship to quantify the direct impact of the current physical intervention operation on the key metabolic parameter sensor signal. This value is used for subsequent signal correction and provides a specific value for correcting the original sensor measurement signal.

[0057] This application introduces a calibration mechanism to collect data during the preset calibration phase, compare the preset impact with the actual impact, and quantify the deviation. It is precisely because of the ability to quantify the deviation that the preset correspondence can be adjusted based on the deviation to obtain an adjusted correspondence that is more in line with the actual situation. By using the adjusted correspondence to determine the sensor impact indicator parameter, it is possible to more accurately reflect the actual impact of the physical intervention operation on the sensor signal, thereby providing a more reliable basis for the subsequent correction of the key metabolic parameter signal. This dynamic adjustment mechanism makes the determination of the sensor impact indicator parameter no longer rely on a static, potentially biased preset relationship, but can be optimized based on data from the actual fermentation process, thereby improving the accuracy of sensor signal correction and the reliability of feed control based on the corrected signal. This method of dynamically correcting the sensor impact model through calibration data can significantly improve the accuracy of sensor signal correction compared to directly using the preset model in the basic solution, thereby more accurately judging the actual changes in key metabolic parameters, avoiding incorrect feed decisions caused by signal distortion, effectively interrupting the vicious cycle caused by increased viscosity, and ensuring the stable operation of the fermentation process.

[0058] Based on some of the above implementations, this embodiment further proposes adjusting the preset correspondence based on the influence deviation, and the steps of obtaining the adjusted correspondence include: Based on the impact deviation, one or more adjustable parameters in the preset correspondence are adjusted. Adjustable parameters refer to values ​​or settings in the preset correspondence that can be modified or optimized, and the predicted output of the correspondence is changed by adjusting these parameters.

[0059] After the deviation between the sensor direct influence degree determined based on the adjusted one or more adjustable parameters and the actual sensor direct influence degree is reduced, the adjusted corresponding relationship is obtained.

[0060] This application optimizes the preset correspondence by introducing an iterative or conditional adjustment process based on impact deviation. First, after determining the impact deviation between the preset direct impact level and the actual direct impact level of the sensor, the system adjusts one or more adjustable parameters in the preset correspondence based on this deviation. This adjustment can be performed according to a specific algorithm or strategy, aiming to reduce the gap between the predicted value and the actual value. After adjusting the parameters, the system re-evaluates the direct impact level of the sensor determined based on the new parameters, compares it with the actual direct impact level of the sensor, and calculates a new deviation. Crucially, only when the deviation between the direct impact level of the sensor determined based on the adjusted adjustable parameters and the actual direct impact level of the sensor is reduced relative to the deviation before the adjustment is made will the system accept the adjustment and use the adjusted correspondence as the new correspondence. This process can be repeated until the deviation is reduced to a preset level or other termination condition is met. In this way, the preset correspondence can be finely optimized based on actual calibration data, so that its predicted results are closer to the actual direct impact of the sensor. This feedback adjustment mechanism based on deviation reduction enables the correspondence to dynamically adapt to the actual conditions of the fermentation process, thereby improving the accuracy of determining the sensor impact indicator parameter. This precise correspondence adjustment, combined with the actual impact data obtained from the calibration phase, can more accurately separate the direct interference of physical intervention on the sensor signal, provide a reliable basis for the subsequent correction of key metabolic parameter signals, and then support feeding control decisions based on the corrected signals, ultimately avoiding erroneous control caused by sensor distortion.

[0061] A method for controlling the feeding of agricultural fertilizer fermentation based on any of the above embodiments, see Figure 2 The present invention also provides an agricultural bacterial fertilizer fermentation feeding control system, which includes an acquisition module 210 and a feeding control module 220.

[0062] The acquisition module 210 is used to obtain key metabolic parameters of each control partition in the agricultural bacterial fertilizer fermentation tank and local viscosity parameters of the fermentation liquid in each control partition.

[0063] The feeding control module 220 is used to select a control strategy to perform feeding control on each control partition based on the key metabolic parameters of each control partition and the local viscosity parameters of the fermentation liquid of each control partition, and obtain the feeding control result of each control partition.

[0064] The control strategy includes: If the key metabolic parameter is lower than the preset process set point and the local viscosity parameter of the fermentation broth is within the preset normal baseline range, conventional feeding is performed.

[0065] If the key metabolic parameter is lower than the preset process set point and the local viscosity parameter of the fermentation broth is between the preset normal baseline range and the danger threshold, the feeding operation of the control partition is reduced or stopped and an early warning signal is triggered.

[0066] If the key metabolic parameter is lower than a preset process set point and the local viscosity parameter of the fermentation broth is higher than the danger threshold, the feeding operation of the control partition is stopped and a physical intervention operation to reduce the local viscosity of the fermentation broth is initiated.

[0067] The acquisition module 210 is a unit used to collect data from the fermentation tank. It can be implemented using a combination of hardware and software, including sensors, data acquisition equipment, and communication interfaces. The feeding control module 220 processes the collected data and issues control instructions based on preset logic. It can be implemented using hardware platforms such as industrial control computers, programmable logic controllers (PLCs), or distributed control systems (DCSs), running corresponding control algorithms.

[0068] This application uses the acquisition module 210 to monitor key metabolic parameters and local viscosity parameters in each control zone in real time. The feed control module 220 receives this data and makes decisions based on a pre-set control strategy. When a key metabolic parameter falls below a set point, the system first checks the local viscosity. If the viscosity is normal, routine feeding is performed to meet microbial demand. If the viscosity begins to rise (between the normal baseline and the danger threshold), the system determines that the drop in dissolved oxygen may be partially or entirely due to mass transfer obstruction. In this case, feed is reduced or stopped to prevent further viscosity increase, and an alert is issued. If the viscosity is extremely high (above the danger threshold), the system determines that the drop in dissolved oxygen is primarily due to a severe mass transfer problem. Feeding is immediately stopped and physical intervention measures are initiated to reduce viscosity. This hierarchical control logic based on two parameters (key metabolic parameters and local viscosity) enables the system to distinguish between true metabolic demand and measurement artifacts caused by viscosity. By avoiding erroneous increases in feed when viscosity rises, the system effectively interrupts the positive feedback loop caused by erroneous control, preventing failure of local areas or even entire fermentation batches. The system converts the method steps into an automated, real-time execution process, overcoming the limitations of manual operation and enabling the method to run stably and reliably in large-scale fermenters.

[0069] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some or all of the technical features therein. These modifications or replacements do not deviate the essence of the corresponding technical solutions from the scope of the technical solutions of the embodiments of the present invention, and they should all be included in the scope of the claims and description of the present invention.

Claims

1. A method for controlling the feeding of agricultural bacterial fertilizer fermentation, characterized in that: include: Obtaining key metabolic parameters of each control zone in the agricultural fertilizer fermentation tank and local viscosity parameters of the fermentation liquid in each control zone; Based on the key metabolic parameters of each control partition and the local viscosity parameters of the fermentation broth of each control partition, selecting a control strategy to perform feeding control on each control partition, and obtaining a feeding control result for each control partition; The control strategy includes: If the key metabolic parameter is lower than the preset process set point and the local viscosity parameter of the fermentation broth is within the preset normal baseline range, conventional feeding is performed; If the key metabolic parameter is lower than a preset process set point, and the local viscosity parameter of the fermentation broth is between a preset normal baseline range and a dangerous threshold, reducing or stopping the feeding operation of the control zone and triggering an early warning signal; If the key metabolic parameter is lower than a preset process set point and the local viscosity parameter of the fermentation broth is higher than the danger threshold, the feeding operation of the control partition is stopped and a physical intervention operation to reduce the local viscosity of the fermentation broth is initiated.

2. A method for controlling the feeding of agricultural fertilizer fermentation according to claim 1, characterized in that: The step of initiating a physical intervention operation to reduce the local viscosity of the fermentation broth comprises: The rotation speed of the local stirring blade in the control zone is increased to enhance the shear force to destroy the viscous liquid boundary layer, thereby reducing the local viscosity of the fermentation liquid.

3. A method for controlling the feeding of agricultural fertilizer fermentation according to claim 2, characterized in that: The step of increasing the rotation speed of the local stirring paddle of the control partition includes: Increasing the rotation speed of the local stirring paddle of the control partition in a preset step size to obtain the real-time rotation speed of the stirring paddle and the local real-time viscosity of the fermentation liquid; If the real-time rotation speed corresponding to the first decrease in the local real-time viscosity of the fermentation liquid is not greater than the preset critical stirring speed, adjusting the inflection point speed to the speed of the local stirring paddle of the control partition; If the real-time rotation speed of the stirring paddle is greater than the preset critical stirring speed, the preset critical stirring speed is adjusted to the rotation speed of the local stirring paddle in the control zone.

4. A method for controlling the feeding of agricultural fertilizer fermentation according to claim 3, characterized in that: The step of increasing the rotation speed of the local stirring paddle of the control partition by a preset step size to obtain the real-time rotation speed of the stirring paddle and the local real-time viscosity of the fermentation liquid includes: Using a preset step size as a gradient, gradually increasing the speed of the local stirring paddle of the control partition by a gradient within a fixed period of time, and obtaining the real-time speed of the stirring paddle and the local real-time viscosity of the fermentation liquid; Determining a viscosity change rate based on the local real-time viscosity of the fermentation broth; If the viscosity change rate is greater than a preset viscosity threshold, increasing the rotation speed of the local stirring paddle of one of the control zones by a preset step size; If the viscosity change rate is not greater than the preset viscosity threshold, the real-time rotation speed of the stirring paddle is maintained.

5. A method for controlling the feeding of agricultural fertilizer fermentation according to claim 1, characterized in that: After the step of initiating the physical intervention operation to reduce the local viscosity of the fermentation liquid is performed, the method further includes: monitoring key metabolic parameters in each of the control zones during the execution of the physical intervention operation, and obtaining a change rate value of the key metabolic parameter; If the acquired change rate value of the key metabolic parameter exceeds a preset change rate threshold, the state of the control partition where feeding is stopped is maintained; If the acquired change rate value of the key metabolic parameter is not greater than the preset change rate threshold, the state of the control partition where feeding is stopped is changed to perform reduced or normal feeding.

6. A method for controlling the feeding of agricultural bacterial fertilizer fermentation according to claim 5, characterized in that: The step of monitoring the key metabolic parameters in each of the control zones during the execution of the physical intervention operation and obtaining the change rate value of the key metabolic parameters comprises: acquiring raw measurement signals of the key metabolic parameters of each of the control partitions during the execution of the physical intervention program; Acquiring a sensor impact indicator parameter representing a direct impact of the physical intervention operation on the sensor of the key metabolic parameter; Based on the original measurement signal and the sensor impact indicator parameter, the original measurement signal is corrected to obtain a corrected key metabolic parameter signal; Based on the corrected key metabolic parameter signal, a change rate value of the key metabolic parameter is determined.

7. A method for controlling the feeding of agricultural fertilizer fermentation according to claim 6, characterized in that: The step of obtaining a sensor impact indicator parameter representing a direct impact of the physical intervention operation on the sensor of the key metabolic parameter comprises: Obtaining the operating parameters of the physical intervention operation and the physical property parameters reflecting the physicochemical properties of the fermentation liquid; The sensor impact indicator parameter is determined based on the corresponding relationship between the operating parameters of the physical intervention operation, the physical property parameters, and the preset correspondence between the degree of direct influence of the operating parameters on the sensors of key metabolic parameters under different physicochemical properties of the fermentation liquid.

8. A method for controlling the feeding of agricultural bacterial fertilizer fermentation according to claim 7, characterized in that: The step of determining the sensor impact indicator parameter based on the corresponding relationship between the operating parameters of the physical intervention operation, the physical property parameters, and the preset relationship between the degree of direct influence of the operating parameters on the sensor of the key metabolic parameter under different physicochemical properties of the fermentation liquid comprises: Determine the impact deviation between the preset direct impact degree and the actual direct impact degree based on the operating parameters of the physical intervention program in the preset calibration stage, the physical property parameters reflecting the physicochemical properties of the fermentation liquid in the preset calibration stage, the original measurement signals of the key metabolic parameters in the preset calibration stage, and the calibration reference value; Based on the impact deviation, the preset corresponding relationship is adjusted to obtain an adjusted corresponding relationship; The sensor impact indication parameter is determined based on the operation parameter of the physical intervention operation, the physical property parameter and the adjusted corresponding relationship.

9. A method for controlling the feeding of agricultural fertilizer fermentation according to claim 8, characterized in that: The step of adjusting the preset corresponding relationship based on the influence deviation to obtain the adjusted corresponding relationship includes: Adjusting one or more adjustable parameters in the preset corresponding relationship based on the impact deviation; After the deviation between the sensor direct influence degree determined based on the adjusted one or more adjustable parameters and the actual sensor direct influence degree is reduced, the adjusted corresponding relationship is obtained.

10. An agricultural bacterial fertilizer fermentation feeding control system, characterized in that: The system includes: An acquisition module is used to obtain key metabolic parameters of each control partition in the agricultural fertilizer fermentation tank and local viscosity parameters of the fermentation liquid in each control partition; A feeding control module is used to select a control strategy to perform feeding control on each control partition based on the key metabolic parameters of each control partition and the local viscosity parameters of the fermentation liquid of each control partition, so as to obtain a feeding control result for each control partition; The control strategy includes: If the key metabolic parameter is lower than the preset process set point and the local viscosity parameter of the fermentation broth is within the preset normal baseline range, conventional feeding is performed; If the key metabolic parameter is lower than a preset process set point, and the local viscosity parameter of the fermentation broth is between a preset normal baseline range and a dangerous threshold, reducing or stopping the feeding operation of the control zone and triggering an early warning signal; If the key metabolic parameter is lower than a preset process set point and the local viscosity parameter of the fermentation broth is higher than the danger threshold, the feeding operation of the control partition is stopped and a physical intervention operation to reduce the local viscosity of the fermentation broth is initiated.

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