Agricultural bacteria fertilizer fermentation feed regulation method and system

Abstract

The present application relates to the technical field of bioengineering, and particularly relates to a kind of agricultural bacteria fertilizer fermentation feed regulation method and system.The method comprises: obtaining the key metabolic parameters and local viscosity parameters of each control partition;Selecting a control strategy to regulate the feed of each control partition to obtain the feed regulation result of each control partition;If the key metabolic parameters are lower than the set point, and the local viscosity parameters are normal, then execute normal feed, if the key metabolic parameters are lower than the set point, and the local viscosity parameters of the fermentation broth are between the normal baseline range and the danger threshold, then reduce or stop the feed operation of the control partition and trigger a warning signal;If the key metabolic parameters are lower than the set point, and the local viscosity parameters of the fermentation broth are higher than the danger threshold, then stop the feed operation of the control partition.The purpose of the present application is to solve the problem that the existing technology causes the local fermentation environment in the fermenter to deteriorate continuously, and cannot guarantee the stability and success rate of the agricultural bacteria fertilizer fermentation process.

Description

Technical Field

[0001] This invention relates to the field of bioengineering technology, specifically to a method and system for regulating the feeding of agricultural microbial fertilizer fermentation. Background Technology

[0002] Agricultural microbial fertilizers are produced using large fermentation tanks. To ensure high efficiency, these tanks are typically equipped with complex process control systems. One such system uses multi-point feeding and zone control, which virtually divides the massive tank into several relatively independent control zones. Each zone has its own feeding pipelines, actuators, and multiple sensors, such as dissolved oxygen electrodes and pH meters, for real-time monitoring of key environmental parameters. However, fermentation is essentially a life activity, and microorganisms, as living systems, exhibit inherently delayed, adaptive, and nonlinear metabolic behaviors. When the microbial population in a particular 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 is perceived by the microbial system as environmental stress.

[0003] Existing process control systems cannot distinguish the cause of a drop in dissolved oxygen signals, easily misinterpreting it as insufficient substrate leading to suppressed microbial respiration. This prompts the feeding system to further increase the feed volume in that area, exacerbating the stress on the microorganisms and causing them to produce more extracellular polysaccharides, further increasing local viscosity. This results in a failure state in that zone, characterized by highly viscous fermentation broth, stagnant mass transfer, and near-complete metabolic cessation. Therefore, the high-frequency feeding control-induced microbial stress response leads to increased local viscosity in the fermentation broth, causing distortion in sensor readings of key metabolic parameters such as dissolved oxygen. This leads the control system to make erroneous feeding decisions based on distorted data, exacerbating the problem. Ultimately, this results in a continuous deterioration of the local fermentation environment within the fermenter, compromising the stability and success rate of the agricultural microbial fertilizer fermentation process. Summary of the Invention

[0004] The purpose of this invention is to provide a method and system for regulating the feeding of agricultural microbial fertilizer fermentation, which solves the problem that existing technologies make incorrect feeding decisions based on distorted data, leading to the continuous deterioration of the local fermentation environment in the fermenter and failing to guarantee the stability and success rate of the agricultural microbial fertilizer fermentation process.

[0005] To achieve the above objectives, the present invention adopts the following technical solution: a method for regulating the feeding of agricultural microbial fertilizer fermentation, comprising:

[0006] Key metabolic parameters of each control zone in the agricultural microbial fertilizer fermentation tank and local viscosity parameters of the fermentation liquid in each control zone were obtained.

[0007] Based on the key metabolic parameters of each control zone and the local viscosity parameters of the fermentation broth of each control zone, a control strategy is selected to regulate the feeding of each control zone, and the feeding regulation results of each control zone are obtained.

[0008] The control strategy includes:

[0009] If the key metabolic parameters are lower than the preset process setpoint, and the local viscosity parameters of the fermentation broth are within the preset normal baseline range, then routine feeding will be performed.

[0010] 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, then the feeding operation of the control zone is reduced or stopped and an early warning signal is triggered.

[0011] If the key metabolic parameter is lower than the preset process set point, and the local viscosity parameter of the fermentation broth is higher than the danger threshold, then the feeding operation of the control zone is stopped, and a physical intervention operation to reduce the local viscosity of the fermentation broth is initiated.

[0012] According to one embodiment of the present invention, the step of initiating the physical intervention operation to reduce the local viscosity of the fermentation broth includes:

[0013] Increasing the rotational speed of the local stirring paddle in the control zone enhances the shear force, disrupting the viscous liquid boundary layer, thereby reducing the local viscosity of the fermentation broth.

[0014] According to one embodiment of the present invention, the step of increasing the rotational speed of the local stirring paddle in the control zone includes:

[0015] The rotation speed of the local stirring paddle in the control zone is increased 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 broth.

[0016] If the real-time rotation speed corresponding to the first decrease in the local real-time viscosity of the fermentation broth is not greater than the preset critical stirring speed, then the inflection point speed is adjusted to the local stirring speed of the control zone.

[0017] If the real-time rotation speed of the agitator is greater than the preset critical rotation speed, then the preset critical rotation speed is adjusted to the rotation speed of the local agitator in the control zone.

[0018] According to one embodiment of the present invention, the step of increasing the rotational speed of the local stirring paddle in the control zone by a preset step size to obtain the real-time rotational speed of the stirring paddle and the local real-time viscosity of the fermentation broth includes:

[0019] Using a preset step size as a gradient, the rotation speed of the local stirring paddle in the control zone is gradually increased by a gradient over a fixed period of time to obtain the real-time rotation speed of the stirring paddle and the local real-time viscosity of the fermentation broth.

[0020] Based on the local real-time viscosity of the fermentation broth, the viscosity change rate was confirmed;

[0021] If the viscosity change rate is greater than a preset viscosity threshold, the rotation speed of the local stirring paddle in the control zone is increased by a preset step size.

[0022] If the viscosity change rate is not greater than the preset viscosity threshold, the real-time rotation speed of the stirring paddle is maintained.

[0023] 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 broth is performed, the method further includes:

[0024] During the execution of the physical intervention operation, key metabolic parameters in each control zone are monitored, and the rate of change of the key metabolic parameters is obtained.

[0025] If the rate of change of the acquired key metabolic parameter exceeds the preset rate of change threshold, the state of the control zone where feeding has been stopped will be maintained.

[0026] If the rate of change of the key metabolic parameter is not greater than the preset rate of change threshold, then the state of the control zone where feeding has stopped is changed to perform reduced or regular feeding.

[0027] According to one embodiment of the present invention, the step of monitoring key metabolic parameters within each control zone during the execution of the physical intervention operation and obtaining the rate of change values ​​of the key metabolic parameters includes:

[0028] Obtain raw measurement signals of the key metabolic parameters for each of the control zones during the execution of the physical intervention procedure;

[0029] Obtain sensor impact indication parameters that characterize the direct impact of the physical intervention on the key metabolic parameters;

[0030] Based on the original measurement signal and the sensor influence indication parameter, the original measurement signal is corrected to obtain the corrected key metabolic parameter signal.

[0031] Based on the corrected key metabolic parameter signals, the rate of change of the key metabolic parameters is confirmed.

[0032] According to one embodiment of the present invention, the step of obtaining a sensor effect indication parameter characterizing the direct effect of the physical intervention operation on the key metabolic parameter includes:

[0033] Obtain the operational parameters of the physical intervention operation and the physical property parameters reflecting the physicochemical properties of the fermentation broth;

[0034] Based on the operational parameters of the physical intervention operation, the physical property parameters, and the pre-defined correspondence between the operational parameters and the sensors that directly affect the key metabolic parameters under different physicochemical properties of the fermentation broth, the sensor influence indication parameters are determined.

[0035] According to one embodiment of the present invention, the step of determining the sensor influence indicator parameter based on the correspondence between the operating parameters of the physical intervention operation, the physical property parameters, and a preset relationship characterizing the direct influence of the operating parameters on key metabolic parameters under different physicochemical properties of fermentation broth includes:

[0036] Based on the operating parameters of the physical intervention procedure in the pre-calibration stage, the physical property parameters reflecting the physicochemical properties of the fermentation broth in the pre-calibration stage, the original measurement signals of the key metabolic parameters in the pre-calibration stage, and the calibration reference values, the influence deviation between the pre-set direct influence degree and the actual direct influence degree is determined.

[0037] Based on the aforementioned influence deviation, the preset correspondence is adjusted to obtain the adjusted correspondence.

[0038] Based on the operation parameters of the physical intervention operation, the physical property parameters, and the adjusted correspondence, the sensor influence indication parameters are determined.

[0039] According to one embodiment of the present invention, the step of adjusting the preset correspondence based on the influence deviation to obtain the adjusted correspondence includes:

[0040] Based on the aforementioned influence deviation, adjust one or more adjustable parameters in the preset correspondence;

[0041] After the deviation between the degree of direct influence of the sensor determined based on one or more adjusted adjustable parameters and the actual degree of direct influence of the sensor is reduced, the adjusted correspondence is obtained.

[0042] This invention also provides an agricultural microbial fertilizer fermentation feeding regulation system, the system comprising:

[0043] The acquisition module is used to acquire key metabolic parameters of each control zone in the agricultural microbial fertilizer fermentation tank and local viscosity parameters of the fermentation liquid in each control zone;

[0044] The feeding control module is used to select a control strategy to regulate the feeding of each control zone based on the key metabolic parameters of each control zone and the local viscosity parameters of the fermentation broth of each control zone, so as to obtain the feeding control result of each control zone.

[0045] The control strategy includes:

[0046] If the key metabolic parameters are lower than the preset process setpoint, and the local viscosity parameters of the fermentation broth are within the preset normal baseline range, then routine feeding will be performed.

[0047] 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, then the feeding operation of the control zone is reduced or stopped and an early warning signal is triggered.

[0048] If the key metabolic parameter is lower than the preset process set point, and the local viscosity parameter of the fermentation broth is higher than the danger threshold, then the feeding operation of the control zone is stopped, and a physical intervention operation to reduce the local viscosity of the fermentation broth is initiated.

[0049] Compared with the prior art, the agricultural microbial fertilizer fermentation feeding regulation method and system of the present invention have the following advantages:

[0050] This invention discloses a method and system for regulating feed addition in agricultural microbial fertilizer fermentation. By continuously acquiring key metabolic parameters and local viscosity parameters of the fermentation broth in each control zone of the fermentation tank, it achieves multi-dimensional perception of the fermentation process status. Since it simultaneously monitors key metabolic parameters reflecting microbial activity and local viscosity parameters reflecting fluid characteristics, when key metabolic parameters decrease, it further analyzes the local viscosity parameters. If the local viscosity is within a preset normal baseline range, it is determined to be genuine metabolic consumption, and routine feed addition is then performed to meet the microbial needs. If local viscosity has increased, it is determined that the decrease in key metabolic parameters may be partly or mainly due to viscosity-induced mass transfer limitations. Depending on the degree of viscosity increase, a strategy of reducing or stopping feed addition is adopted, and an early warning may be triggered to prevent further deterioration. When the local viscosity exceeds a dangerous threshold, feed addition is immediately stopped, and physical intervention is initiated, directly acting on the fermentation broth to reduce viscosity, thereby improving mass transfer conditions and restoring the accuracy of the sensor function. Based on the differentiated control logic of dual-parameter joint judgment, the vicious cycle of high-frequency feeding leading to increased viscosity, increased viscosity leading to signal distortion, and signal distortion leading to incorrect feeding is effectively identified and interrupted, thus ensuring the stability and success rate of agricultural microbial fertilizer fermentation process. Attached Figure Description

[0051] To more clearly illustrate the specific embodiments of the present invention, the accompanying drawings used in the specific embodiments will be briefly described below. In all the drawings, the elements or parts are not necessarily drawn to scale.

[0052] Figure 1 This is a flowchart of a method for regulating the feeding of agricultural microbial fertilizer fermentation according to the present invention.

[0053] Figure 2 This is a structural block diagram of an agricultural microbial fertilizer fermentation feeding regulation system according to the present invention.

[0054] In the diagram: Acquisition module 210, material replenishment control module 220.

[0055] The implementation and advantages of the present invention will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. Detailed Implementation

[0056] The following drawings disclose several embodiments of the present invention. For clarity, many practical details will be described in the following description. However, it should be understood that these practical details are not intended to limit the invention. That is, in some embodiments of the invention, these practical details are not essential. Furthermore, for the sake of simplicity, some conventional structures and components will be shown in the drawings in a simple schematic manner.

[0057] It should be noted that all directional indications (such as up, down, left, right, front, back, etc.) in the embodiments of the present invention are only used to explain the relative positional relationship and movement of each component in a certain specific posture (as shown in the figure). If the specific posture changes, the directional indication will also change accordingly.

[0058] Furthermore, in this invention, the use of terms such as "first" and "second" is for descriptive purposes only and does not specifically refer to any order or sequence, nor is it intended to limit the invention. They are merely used to distinguish components or operations described using the same technical terms, and should not be construed as indicating or implying relative importance or implicitly specifying the number of indicated technical features. Therefore, a feature defined with "first" or "second" may explicitly or implicitly include at least one of those features. Additionally, the technical solutions of various embodiments can be combined with each other, but only if they are feasible for those skilled in the art. If a combination of technical solutions is contradictory or impossible to implement, such a combination should be considered nonexistent and not within the scope of protection claimed by this invention.

[0059] Traditional agricultural microbial fertilizer fermentation processes, especially in large fermenters employing multi-point feeding and zoned control strategies, suffer from microbial stress responses during high-frequency feeding control. This stress leads to the synthesis of extracellular polysaccharides by microorganisms, causing a sharp increase in the local viscosity of the fermentation broth. This increased viscosity severely deteriorates mass and heat transfer efficiency in that area, particularly interfering with sensor measurements of key metabolic parameters such as dissolved oxygen, resulting in distorted sensor readings. Existing conventional controllers cannot distinguish between a drop in sensor readings as genuine metabolic consumption and a false indication of mass transfer deterioration due to increased viscosity, leading to incorrect feeding decisions based on distorted data. This further exacerbates the stress on microorganisms, prompting them to produce even more extracellular polysaccharides, creating a vicious cycle. For example, in a large agricultural microbial fertilizer fermenter, high-frequency feeding in a certain control zone caused microorganisms to produce large amounts of extracellular polysaccharides, resulting in a rapid increase in the local viscosity of the fermentation broth in that zone from the 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 its probe membrane surface due to increased viscosity, significantly reducing the rate at which oxygen molecules are transferred from bubbles to the electrode membrane. At this point, the dissolved oxygen electrode reading rapidly drops from the normal 50% saturation to 10% saturation. The conventional control system interprets this signal as insufficient dissolved oxygen, assuming suppressed microbial respiration and a need for increased substrate supply, and thus instructs the feeding system to increase the feed rate in this area. However, the actual problem is impaired mass transfer, not insufficient substrate. Increasing the feed further stimulates the microorganisms to produce extracellular polysaccharides, causing the local viscosity to continue rising to 100 mPa / s or even higher. The dissolved oxygen reading may drop to near zero, mass transfer almost stops, and the metabolic activity of the microorganisms in this zone nearly ceases. This leads to a continuous deterioration of the local fermentation environment within the fermenter, compromising the stability and success rate of the agricultural microbial fertilizer fermentation process, resulting in decreased production efficiency and significant economic losses.

[0060] To further understand the content, features, and effects of this invention, the following embodiments are provided, and detailed descriptions are given below in conjunction with the accompanying drawings:

[0061] Please see Figure 1 This invention provides a method for regulating the feeding of agricultural microbial fertilizer fermentation, comprising the following steps:

[0062] S100. Obtain key metabolic parameters and local viscosity parameters of the fermentation broth in each control zone of the agricultural microbial fertilizer fermentation tank. Each control zone within the fermentation tank refers to spatially dividing the large fermentation tank into multiple relatively independent areas, primarily for localized monitoring and control of the fermentation process. Key metabolic parameters are indicators reflecting the growth status and metabolic activity of microorganisms within the fermentation tank, including dissolved oxygen concentration, pH value, substrate concentration, and carbon dioxide emission rate. Local viscosity parameters of the fermentation broth refer to the fluid viscosity of the fermentation broth in a specific area within the fermentation tank. These parameters are measured or estimated using online viscosity sensors, rheometers, or methods based on stirring power, and are mainly used to indicate the rheological properties of the fermentation broth and mass and heat transfer barriers.

[0063] S200. Based on the key metabolic parameters of each control zone and the local viscosity parameters of the fermentation broth in each control zone, a control strategy is selected to regulate the feeding of each control zone, resulting in the feeding regulation result for each control zone. The control strategy guides the decision-making regarding feeding operations and physical intervention operations. Specifically, this invention combines key metabolic parameters with the local viscosity parameters of the fermentation broth, and selects different control strategies based on different combinations of these parameters. This distinguishes whether the decrease in key metabolic parameters is caused by actual metabolic demand or by sensor signal distortion due to increased local viscosity, thus avoiding erroneous feeding decisions, interrupting vicious cycles, and ensuring the stability of the fermentation process.

[0064] The control strategy includes:

[0065] If the key metabolic parameters are lower than the preset process setpoint, and the local viscosity parameters of the fermentation broth are within the preset normal baseline range, then routine feeding will be performed.

[0066] If the key metabolic parameters are lower than the preset process setpoint, and the local viscosity parameters of the fermentation broth are between the preset normal baseline range and the danger threshold, then the feeding operation of the controlled zone will be reduced or stopped and an early warning signal will be triggered.

[0067] If the key metabolic parameter is lower than the preset process set point, and the local viscosity parameter of the fermentation broth is higher than the danger threshold, then the feeding operation of the control zone is stopped, and a physical intervention operation to reduce the local viscosity of the fermentation broth is initiated.

[0068] In this embodiment, the agricultural microbial fertilizer fermentation tank is divided into three control zones: upper, middle, and lower. Key metabolic parameters can be obtained by installing dissolved oxygen 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. This control unit has a built-in preset control strategy. For example, when the dissolved oxygen concentration in a zone is lower than a preset process setpoint, 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 a regular feed operation. If the local viscosity parameter is between the preset normal baseline range and a danger threshold, the control unit instructs the feed pump to reduce or stop feeding and sends a warning signal to the operating interface. If the local viscosity parameter is higher than the danger threshold, the control unit instructs the feed pump to immediately stop feeding and initiates physical intervention operations, such as increasing the rotation speed of the local agitator in that zone to enhance shear force and reduce the local viscosity of the fermentation broth.

[0069] This application's solution achieves multi-dimensional perception of the fermentation process by continuously acquiring key metabolic parameters and local viscosity parameters of the fermentation broth in each control zone of the agricultural microbial fertilizer fermenter. By simultaneously acquiring key metabolic parameters reflecting microbial activity and local viscosity parameters reflecting fluid properties, the control system can assess the actual situation in each zone of the fermenter based on the combined information from both. When key metabolic parameters decrease, it is not simply attributed to insufficient substrate, but further analyzed in conjunction with local viscosity parameters. If the local viscosity is within a preset normal baseline range, it is determined to be genuine metabolic consumption, and routine feeding is then performed to meet the microbial needs. However, if the local viscosity has increased, it is determined that the decrease in key metabolic parameters may be partly or mainly due to mass transfer limitations caused by viscosity. In this case, continuing routine feeding would exacerbate microbial stress and viscosity problems. 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 the local viscosity exceeds the danger threshold, feeding is immediately stopped, and physical intervention is initiated to directly act on the fermentation broth to reduce viscosity, thereby improving mass transfer conditions and restoring the accuracy of the sensor function. This 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 stable operation of the fermentation process.

[0070] Based on the above-described implementation methods, this embodiment further proposes the following steps for initiating the physical intervention operation to reduce the local viscosity of the fermentation broth:

[0071] Increasing the rotational speed of the local agitator in the control zone enhances the shear force, disrupting the viscous liquid boundary layer and reducing the local viscosity of the fermentation broth. Specifically, when key metabolic parameters are detected to be below a preset process setpoint and the local viscosity exceeds a danger threshold, in addition to ceasing feeding operations to the control zone, the rotational speed of the local agitator in that control zone is further increased. This operation enhances the shear force exerted by the agitator on the high-viscosity fermentation broth. This enhanced shear force acts on the viscous liquid boundary layer formed by the accumulation of substances such as extracellular polysaccharides, disrupting its structure and thus reducing the local viscosity of the fermentation broth. The reduction in viscosity improves the mass transfer conditions within the fermentation broth, particularly the efficiency of the transfer of key substances such as dissolved oxygen from the gas or liquid phase to the microbial cells and sensor surface. The restoration of mass transfer efficiency allows 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. This allows the control system to make subsequent adjustments based on data, breaking the vicious cycle in existing technologies where increased viscosity leads to sensor distortion and erroneous feeding decisions, thus ensuring the stable operation of the fermentation process. For example, the speed can be increased to a certain percentage of the impeller's rated speed limit, or to a value within a verified range that reduces viscosity. Increasing the speed causes the impeller blades to rotate at high speed in the fermentation broth, generating significant shear force. This shear force acts on the viscous liquid layer between the impeller surface and the main body of the fermentation broth, tearing and dispersing aggregated extracellular polysaccharides or other viscous substances, thereby disrupting the boundary layer structure and reducing the local viscosity of the fermentation broth.

[0072] Based on the above-described implementation methods, this embodiment further proposes a step to increase the rotational speed of the local stirring impeller in the control zone, including:

[0073] The rotational speed of the local stirring paddle in the control zone is increased by a preset step size to obtain the real-time rotational speed of the stirring paddle and the local real-time viscosity of the fermentation broth. Specifically, the rotational speed of the local stirring paddle is gradually increased by a preset fixed increment, and after each speed increase, the current stirring paddle speed value and the local viscosity value of the fermentation broth in the control zone are collected in real time by corresponding sensors or measuring devices. The purpose is to obtain the correspondence between speed and viscosity changes through a refined speed adjustment process, providing a data basis for subsequent speed setting.

[0074] If the real-time rotation speed corresponding to the first decrease in the local real-time viscosity of the fermentation broth is not greater than the preset critical stirring speed, then the inflection point speed is adjusted to the local stirring speed of the control zone. Specifically, by gradually increasing the stirring speed, the real-time rotation speed of the stirring paddle corresponding to the change from a stable or upward trend to a downward trend in the local real-time viscosity of the fermentation broth is usually referred to as the inflection point speed. Its purpose is to identify the lowest rotation speed at which viscosity can be effectively reduced.

[0075] If the real-time rotational speed of the agitator is greater than the preset critical agitation speed, the preset critical agitation speed is adjusted to the local agitator speed of the control zone. The preset critical agitation speed is used to ensure that the agitator speed does not exceed a safe threshold that would cause significant shear force damage to the microorganisms or lead to other adverse effects.

[0076] This application dynamically captures the viscosity response to speed changes by gradually increasing the speed of the local stirring paddle in the control zone with a preset step size and monitoring the stirring paddle speed and the local viscosity of the fermentation broth in real time. It is precisely because of this real-time correlation between speed and viscosity that the speed point at which the local viscosity of the fermentation broth begins to decrease (i.e., the inflection point speed) can be determined. Furthermore, by comparing this inflection point speed with a preset critical stirring speed, this application can intelligently select a speed that effectively reduces viscosity without being too high and damaging the microorganisms or wasting energy as the final stirring speed. Specifically, if the viscosity has already begun to decrease at a lower speed and has not exceeded the critical speed, this lower inflection point speed is selected, achieving energy saving and microorganism protection; if the viscosity only begins to decrease when the speed exceeds the critical speed, the critical speed is selected as the upper limit, prioritizing the safety of the microorganisms. This speed adjustment mechanism, based on real-time data feedback and safety threshold judgment, optimizes the simple method of increasing speed, making physical intervention operations more precise and efficient. This better supports the overall feeding control strategy, effectively addresses sensor distortion caused by local viscosity increases, avoids erroneous control, and breaks the vicious cycle. For example, a preset step size is set, such as 10 revolutions per minute (rpm). A preset critical stirring speed is also set, such as 300 rpm. Then, starting from the current stirring speed, the speed of the stirring paddle in the control zone is gradually increased in steps of 10 rpm. After each speed increase, a period of time is allowed for system stabilization, and then the current real-time stirring speed and the local real-time viscosity of the fermentation broth are obtained. This process is continued until the local real-time viscosity of the fermentation broth shows its first significant decrease. The real-time speed at this point is recorded as the inflection point speed. Next, this inflection point speed is compared with the preset critical stirring speed. If the inflection point speed is not greater than the preset critical stirring speed, the speed of the local stirring paddle in the control zone is adjusted and maintained at the inflection point speed. If, during the gradual increase of the rotation speed, the real-time rotation speed of the agitator has reached or exceeded the preset critical stirring speed, but the viscosity has not yet shown an initial decrease or the decrease is not significant, then the rotation speed of the local agitator in the control zone will be adjusted and maintained at the preset critical stirring speed.

[0077] Based on the above-described implementation methods, this embodiment further proposes a step of increasing the local stirring speed of the stirring paddle in the control zone by a preset step size, and obtaining the real-time stirring speed of the stirring paddle and the local real-time viscosity of the fermentation broth, including:

[0078] Using a preset step size as a gradient, the rotation speed of the local stirring paddle in the control zone is gradually increased by a gradient over a fixed period of time to obtain the real-time rotation speed of the stirring paddle and the local real-time viscosity of the fermentation broth.

[0079] 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. It can be calculated by comparing the current viscosity with the viscosity at the previous moment or step length, with the aim of quantifying the influence of the impeller rotational speed on viscosity.

[0080] If the viscosity change rate is greater than a preset viscosity threshold, the rotation speed of the local agitator in the control zone is increased by a preset step size. The preset viscosity threshold is a preset value used to determine whether the viscosity change rate is sufficiently significant. It can be set according to fermentation process requirements and experience, and its purpose is to provide a judgment standard to guide subsequent rotation speed adjustment decisions.

[0081] If the viscosity change rate is not greater than the preset viscosity threshold, the real-time rotation speed of the stirring paddle is maintained.

[0082] This application uses a preset step size as a gradient to gradually increase the rotational speed of the local agitator in a control zone over a fixed time period. This allows for the acquisition of real-time agitator rotational speed and local real-time viscosity of the fermentation broth. Based on the local real-time viscosity, the viscosity change rate is determined, and the preset step size is dynamically adjusted or the real-time agitator rotational speed is maintained based on a comparison between the viscosity change rate and a preset viscosity threshold. This dynamic feedback mechanism based on the viscosity change rate allows the rotational speed increase process to be adjusted according to the actual response of the fermentation broth to agitation, avoiding blind or fixed rotational speed increases. This dynamic adjustment of the rotational speed increase step size, combined with the subsequent step of determining the final agitation speed based on the initial viscosity decrease or a preset critical speed, forms a more refined and intelligent local viscosity reduction strategy. This approach effectively disrupts the viscous liquid boundary layer and reduces the local viscosity of the fermentation broth while minimizing unnecessary high-speed operation time, thereby reducing energy consumption and shear damage to the cells.

[0083] Building upon the above embodiments, this embodiment does not increase the stirring speed to a fixed high value, but instead initiates a graded, closed-loop adjustment program. First, the stirring speed is slightly increased from the current baseline value by a preset gradient and maintained for a short time window. During and after this window, the system continuously monitors the viscosity sensor readings at high frequency and calculates the first derivative of the viscosity value, i.e., the viscosity change rate. If the viscosity change rate reaches a preset negative target (indicating that the viscosity is effectively decreasing), the current stirring intensity is maintained or appropriately reduced until the viscosity returns to the normal range. If the viscosity change rate does not reach the target, indicating that the current stirring intensity is insufficient to overcome mass transfer deterioration, the next round of adjustment is automatically executed, increasing the stirring speed by another gradient based on the previous level, and repeating the aforementioned monitoring and judgment process. This process iterates until the lowest stirring intensity that can effectively reduce viscosity is found, or the upper speed limit set by the equipment safety settings is reached, triggering a manual intervention alarm. This method transforms the recovery operation from a fixed, open-loop impact process into a dynamic, closed-loop precision titration process by introducing viscosity change rate as a real-time feedback signal to adjust stirring intensity. This achieves the application of minimum necessary shear force while effectively disrupting the viscous boundary layer, minimizing physical damage to microbial cells, ensuring the biological activity of the fermentation system, and improving the accuracy and safety of the recovery operation.

[0084] Based on the above-described implementation methods, this embodiment further proposes that after the step of initiating a physical intervention operation to reduce the local viscosity of the fermentation broth is executed, the method further includes:

[0085] During the execution of the physical intervention operation, key metabolic parameters within each control zone are monitored, and the rate of change values ​​of these key metabolic parameters are obtained. Key metabolic parameters refer to important indicators characterizing the growth, metabolic activity, or physicochemical state of microorganisms within the fermenter, and are expressed using parameters such as dissolved oxygen, pH, redox potential, carbon dioxide emission rate, substrate concentration, and product concentration. Their purpose is to reflect the real-time state of the fermentation process. Physical intervention operations refer to operations that alter the local rheological properties of the fermentation broth through mechanical or physical means. These can be achieved by increasing the speed of the local agitator, introducing gas disturbance, or ultrasonic treatment, with the aim of reducing local viscosity. The rate of change 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 in parameter values ​​between consecutive monitoring points to the time interval, aiming to quantify the trend and speed of parameter change.

[0086] If the rate of change of the acquired key metabolic parameter exceeds a preset rate of change threshold, the control zone where feeding has been stopped will maintain its current state. The preset rate of change threshold is a predetermined 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 serves as the basis for adjusting the feeding strategy.

[0087] If the rate of change of the key metabolic parameter is not greater than the preset rate of change threshold, then the state of the control zone where feeding has stopped is changed to perform reduced or regular feeding.

[0088] This application introduces a monitoring and judgment process for the rate of change of key metabolic parameters after initiating a physical intervention to reduce the local viscosity of the fermentation broth. This allows for dynamic adjustment of the subsequent feeding strategy for the controlled zones where feeding has been stopped, based on the actual recovery of microbial metabolism. Specifically, during the physical intervention, key metabolic parameters within each controlled zone are continuously monitored, and the rate of change of these parameters is calculated. This rate of change directly reflects the speed at which microbial metabolism recovers from the inhibited state caused by viscosity. The obtained rate of change is compared with a preset rate of change threshold. If the rate of change exceeds the threshold, it indicates that microbial metabolism is recovering rapidly. In this case, the feeding stop status is maintained to avoid premature or excessive feeding, which could cause new disturbances or inhibition to the recovering microbial system. If the rate of change is not greater than the threshold, it indicates that microbial metabolic recovery is relatively slow. In this case, the status of the controlled zone needs to be changed, and feeding should be resumed. However, depending on the specific situation, reduced or regular feeding can be implemented to provide necessary nutritional support and promote further recovery of microbial metabolism. This feedback regulation mechanism based on metabolic recovery rate compensates for the shortcomings of relying solely on viscosity reduction for physical intervention. It enables more precise management of the fermentation process, avoids potential negative impacts on microbial metabolism caused by physical intervention, and ensures the stability and efficiency of the fermentation process. By combining viscosity-based physical intervention with feed adjustment based on metabolic recovery, a more complete control loop is formed, which can effectively address local viscosity anomalies and subsequent metabolic fluctuations.

[0089] Based on the above-described implementation methods, this embodiment further proposes a step for monitoring key metabolic parameters within each control zone during the execution of the physical intervention operation and obtaining the rate of change values ​​of the key metabolic parameters, including:

[0090] Obtain raw measurement signals of the key metabolic parameters for each of the control zones during the execution of the physical intervention procedure.

[0091] Obtain sensor impact indication parameters that characterize the direct impact of the physical intervention on the sensors of the key metabolic parameters. These sensor impact indication parameters are numerical values ​​used to quantify the degree of direct interference or influence of the physical intervention on the sensor measurements of the key metabolic parameters. They can be obtained using methods based on preset models, historical data analysis, or real-time monitoring of specific physical quantities, providing a basis for measuring the degree of distortion in sensor readings caused by the physical intervention.

[0092] Based on the original measurement signal and the sensor influence indication parameter, the original measurement signal is corrected to obtain the corrected key metabolic parameter signal.

[0093] Based on the corrected key metabolic parameter signals, the rate of change of the key metabolic parameters is confirmed.

[0094] This application acquires not only the raw measurement signals of key metabolic parameters during physical intervention operations, but also sensor influence indication parameters characterizing the direct impact of the physical intervention on the sensors. Based on these two pieces of information, the raw measurement signals are corrected to obtain a corrected signal that more accurately reflects the true metabolic state. Finally, the rate of change of key metabolic parameters is calculated based on this corrected signal. This method can effectively distinguish whether a decrease in sensor readings is due to actual metabolic consumption or a measurement artifact caused by the physical intervention. For example, when the impeller speed is increased, the dissolved oxygen sensor reading may rise due to improved mass transfer, fluctuate due to bubble entrainment, or decrease due to actual metabolic changes. By correcting the raw dissolved oxygen signal with the sensor influence indication parameters, the direct influence of the physical intervention itself can be removed, resulting in a signal that more purely reflects the change in the rate of oxygen consumption of microorganisms. The rate of change calculated based on this corrected signal can more reliably indicate whether the microorganisms have resumed normal metabolism due to reduced viscosity and improved mass transfer, or whether they are still in an abnormal state. This more accurate rate of change provides a solid foundation for subsequent judgments on whether to restore or reduce feeding, avoiding incorrect feeding decisions based on distorted signals. This effectively interrupts the vicious cycle of increased viscosity, signal distortion, and erroneous control, ensuring the stable operation of the fermentation process.

[0095] Based on the above-described implementation methods, this embodiment further proposes a step for obtaining sensor influence indication parameters that characterize the direct impact of the physical intervention operation on the key metabolic parameters, including:

[0096] The operational parameters of the physical intervention operation and the physical property parameters reflecting the physicochemical properties of the fermentation broth are obtained. The operational parameters refer to the specific execution parameters of the physical intervention, such as impeller speed, gas flow rate, and temperature change rate, which quantify the intensity of the physical intervention. The physical property parameters include viscosity, density, surface tension, and rheological index, which characterize the fermentation broth's response to the physical intervention and its impact on sensor signal transmission.

[0097] Based on the operational parameters of the physical intervention operation, the physical property parameters, and the pre-defined correspondence between the operational parameters and the sensors that directly affect the key metabolic parameters under different physicochemical properties of the fermentation broth, the sensor influence indication parameters are determined.

[0098] This application, by acquiring the operational parameters of the physical intervention operation and the physical properties of the fermentation broth, and utilizing a pre-defined correspondence, can predict the direct impact of the physical intervention on the sensor readings of key metabolic parameters, and quantify this impact as a sensor influence indicator parameter. This parameter provides the basis for subsequent correction of the original sensor measurement signals. After initiating the physical intervention operation to reduce the local viscosity of the fermentation broth, the system monitors the key metabolic parameters in each control zone during the execution of the physical intervention and acquires the rate of change values ​​of the key metabolic parameters. To accurately acquire the rate of change values, it is necessary to acquire the original measurement signals of the key metabolic parameters in each control zone during the execution of the physical intervention program, and acquire the sensor influence indicator parameter characterizing the direct impact of the physical intervention operation on the sensors of the key metabolic parameters. Based on the original measurement signals and the sensor influence indicator parameter, the original measurement signals are corrected to obtain the corrected key metabolic parameter signals. Based on the corrected key metabolic parameter signals, the rate of change values ​​of the key metabolic parameters are 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 subsequent judgments based on the rate of change more reliable in determining whether to maintain or change the state of the control zone where feeding has stopped. It avoids misjudgments caused by sensor distortion, thereby effectively interrupting the vicious cycle described in the background art and ensuring the stability and success rate of the fermentation process.

[0099] Based on the above-described implementation methods, this embodiment further proposes a correspondence between the operational parameters of the physical intervention operation, the physical property parameters, and the degree of direct influence of the operational parameters on the sensors of key metabolic parameters under preset conditions characterizing the physicochemical properties of different fermentation broths. The steps for determining the sensor's influence on the indicator parameters include:

[0100] Based on the operational parameters of the physical intervention procedure in the pre-calibration phase, the physical property parameters reflecting the physicochemical properties of the fermentation broth in the pre-calibration phase, the original measurement signals of the key metabolic parameters in the pre-calibration phase, and the calibration reference values, the influence deviation between the pre-set direct influence degree and the actual direct influence degree is determined. Here, influence deviation refers to the difference between the pre-set direct influence degree and the actual direct influence degree, quantifying the accuracy of the pre-set correspondence and providing a basis for adjusting the pre-set correspondence.

[0101] Based on the aforementioned impact bias, the preset correspondence is adjusted to obtain an adjusted correspondence. The adjusted correspondence refers to the new correspondence obtained after correcting the preset correspondence based on the impact bias. This new correspondence more accurately reflects the actual situation and provides an optimized sensor impact prediction model.

[0102] Based on the operational parameters of the physical intervention, the physical property parameters, and the adjusted correspondence, the sensor influence indication parameters are determined. These sensor influence indication parameters are numerical values ​​calculated from the operational parameters of the physical intervention, the physical property parameters, and the adjusted correspondence to quantify the direct impact of the current physical intervention on the sensor signal of key metabolic parameters. These parameters are used for subsequent signal correction and provide specific values ​​for correcting the original sensor measurement signal.

[0103] This application introduces a calibration mechanism to collect data during the pre-calibration stage, comparing the pre-set impact with the actual impact to quantify the deviation. It is precisely because of this quantification that the pre-set correspondence can be adjusted based on the deviation, resulting in a more accurate correspondence. By using the adjusted correspondence to determine the sensor impact indication parameters, the true impact of physical intervention on the sensor signal can be more accurately reflected, providing a more reliable basis for subsequent correction of key metabolic parameter signals. This dynamic adjustment mechanism means that the determination of sensor impact indication parameters no longer relies on static, potentially biased pre-set relationships, but can be optimized based on data from the actual fermentation process. This improves the accuracy of sensor signal correction and, consequently, the reliability of feed regulation based on the corrected signal. Compared to directly using a pre-set model in the basic scheme, this method of dynamically correcting the sensor impact model through calibration data significantly improves the accuracy of sensor signal correction, enabling more accurate judgment of the true changes in key metabolic parameters, avoiding erroneous feed decisions due to signal distortion, effectively interrupting the vicious cycle caused by increased viscosity, and ensuring the stable operation of the fermentation process.

[0104] Based on the above-described implementation methods, this embodiment further proposes a step for adjusting the preset correspondence based on the influence deviation to obtain the adjusted correspondence, including:

[0105] Based on the aforementioned influence 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; adjusting these parameters changes the predicted output of the correspondence.

[0106] After the deviation between the degree of direct influence of the sensor determined based on one or more adjusted adjustable parameters and the actual degree of direct influence of the sensor is reduced, the adjusted correspondence is obtained.

[0107] This application optimizes a preset correspondence by introducing an iterative or conditional adjustment process based on influence deviation. First, after determining the influence deviation between the preset direct influence level and the actual direct influence 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 and actual values. After adjusting the parameters, the system re-evaluates the sensor direct influence level determined based on the new parameters and compares it with the actual direct influence level of the sensor, calculating a new deviation. Crucially, the system only accepts the adjustment and uses the adjusted correspondence as the new correspondence if the deviation between the sensor direct influence level determined based on the adjusted adjustable parameters and the actual direct influence level of the sensor is reduced compared to before the adjustment. This process can be repeated until the deviation decreases to a preset level or other termination conditions are met. In this way, the preset correspondence can be finely optimized based on actual calibration data, making its prediction results closer to the actual direct influence on the sensor. This feedback adjustment mechanism based on deviation reduction allows the correspondence to dynamically adapt to the actual situation during the fermentation process, thereby improving the accuracy of determining the sensor influence indication parameters. This precise correspondence adjustment, combined with the actual impact data obtained from the calibration phase, can more accurately isolate the direct interference of physical intervention on sensor signals, providing a reliable basis for the subsequent correction of key metabolic parameter signals, thereby supporting feeding control decisions based on the corrected signals, and ultimately avoiding erroneous control caused by sensor distortion.

[0108] For a method of regulating the feeding of agricultural microbial fertilizer fermentation based on any of the above embodiments, please refer to [link to relevant documentation]. Figure 2 The present invention also provides an agricultural microbial fertilizer fermentation feeding control system, which includes an acquisition module 210 and a feeding control module 220.

[0109] The acquisition module 210 is used to acquire key metabolic parameters of each control zone in the agricultural microbial fertilizer fermentation tank and local viscosity parameters of the fermentation liquid in each control zone.

[0110] The feeding control module 220 is used to select a control strategy to control the feeding of each control zone based on the key metabolic parameters of each control zone and the local viscosity parameters of the fermentation broth of each control zone, so as to obtain the feeding control result of each control zone.

[0111] The control strategy includes:

[0112] If the key metabolic parameters are lower than the preset process setpoint, and the local viscosity parameters of the fermentation broth are within the preset normal baseline range, then routine feeding will be performed.

[0113] If the key metabolic parameters are lower than the preset process setpoint, and the local viscosity parameters of the fermentation broth are between the preset normal baseline range and the danger threshold, then the feeding operation of the controlled zone will be reduced or stopped and an early warning signal will be triggered.

[0114] If the key metabolic parameter is lower than the preset process set point, and the local viscosity parameter of the fermentation broth is higher than the danger threshold, then the feeding operation of the control zone is stopped, and a physical intervention operation to reduce the local viscosity of the fermentation broth is initiated.

[0115] The acquisition module 210 is a unit used to collect data from inside the fermenter, which can be implemented using a combination of hardware and software such as sensors, data acquisition devices, and communication interfaces. The feeding control module 220 is a unit used to process the collected data and issue control commands according to preset logic. It can be implemented using hardware platforms such as industrial control computers, programmable logic controllers (PLCs), or distributed control systems (DCS), and running corresponding control algorithm programs.

[0116] This application uses module 210 to monitor key metabolic parameters and local viscosity parameters of each control zone in real time. Feed control module 220 receives this data and makes judgments based on a preset control strategy. When key metabolic parameters are below the set point, the system first checks the local viscosity. If the viscosity is normal, routine feeding is performed to meet the microbial needs. If the viscosity begins to rise (between the normal baseline and the danger threshold), the system determines that the decrease in dissolved oxygen may be partially or entirely caused by mass transfer obstruction. At this time, feeding is reduced or stopped to avoid exacerbating the viscosity increase, and an early warning is issued. If the viscosity is very high (above the danger threshold), the system determines that the decrease in dissolved oxygen is mainly caused by severe mass transfer problems, immediately stops feeding, and initiates physical intervention measures to reduce viscosity. This hierarchical control logic based on two parameters (key metabolic parameters and local viscosity) enables the system to distinguish between actual metabolic needs and measurement artifacts caused by viscosity. By avoiding erroneous increases in feeding when viscosity rises, the system can effectively interrupt the positive feedback loop caused by erroneous control, preventing failure in local areas or even the entire fermentation batch. The system transforms 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.

[0117] The above embodiments are only used to illustrate the technical solutions of the present invention, and are not intended to limit it. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some or all of the technical features therein. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present invention, and they should all be covered within the scope of the claims and specification of the present invention.

Claims

1. A method for regulating the feeding of agricultural microbial fertilizer fermentation, characterized in that, include: Key metabolic parameters of each control zone in the agricultural microbial fertilizer fermentation tank and local viscosity parameters of the fermentation liquid in each control zone were obtained. Based on the key metabolic parameters of each control zone and the local viscosity parameters of the fermentation broth of each control zone, a control strategy is selected to regulate the feeding of each control zone, and the feeding regulation results of each control zone are obtained. The control strategy includes: If the key metabolic parameters are lower than the preset process setpoint, and the local viscosity parameters of the fermentation broth are within the preset normal baseline range, then routine feeding will be performed. 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, then the feeding operation of the control zone is reduced or stopped and an early warning signal is triggered. If the key metabolic parameter is lower than the preset process set point and the local viscosity parameter of the fermentation broth is higher than the danger threshold, then the feeding operation of the control zone is stopped and a physical intervention operation to reduce the local viscosity of the fermentation broth is initiated. The steps of initiating the physical intervention operation to reduce the local viscosity of the fermentation broth include: Increasing the rotation speed of the local stirring paddle in the control zone enhances the shear force, disrupting the viscous liquid boundary layer, thereby reducing the local viscosity of the fermentation broth. After the step of initiating the physical intervention operation to reduce the local viscosity of the fermentation broth is performed, the method further includes: During the execution of the physical intervention operation, key metabolic parameters in each control zone are monitored, and the rate of change of the key metabolic parameters is obtained. If the rate of change of the acquired key metabolic parameter exceeds the preset rate of change threshold, the state of the control zone where feeding has been stopped will be maintained. If the rate of change of the key metabolic parameter is not greater than the preset rate of change threshold, then the state of the control zone where feeding has stopped is changed to perform reduced or regular feeding. The step of monitoring key metabolic parameters within each control zone during the execution of the physical intervention operation and obtaining the rate of change values ​​of the key metabolic parameters includes: Obtain raw measurement signals of the key metabolic parameters for each of the control zones during the execution of the physical intervention procedure; Obtain sensor impact indication parameters that characterize the direct impact of the physical intervention on the key metabolic parameters; Based on the original measurement signal and the sensor influence indication parameter, the original measurement signal is corrected to obtain the corrected key metabolic parameter signal. Based on the corrected key metabolic parameter signals, the rate of change of the key metabolic parameters is confirmed.

2. The method for regulating the feeding of agricultural microbial fertilizer fermentation according to claim 1, characterized in that, The step of increasing the rotational speed of the local stirring paddle in the control zone includes: The rotation speed of the local stirring paddle in the control zone is increased 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 broth. If the real-time speed corresponding to the first decrease in the local real-time viscosity of the fermentation broth is not greater than the preset critical stirring speed, the corresponding real-time speed is called the inflection point speed, and the inflection point speed is adjusted to the speed of the local stirring paddle of the control zone. If the real-time rotation speed of the agitator is greater than the preset critical rotation speed, then the preset critical rotation speed is adjusted to the rotation speed of the local agitator in the control zone.

3. The method for regulating the feeding of agricultural microbial fertilizer fermentation according to claim 2, characterized in that, The step of increasing the rotation speed of the local stirring paddle in the control zone by a preset step size, and obtaining the real-time rotation speed of the stirring paddle and the local real-time viscosity of the fermentation broth includes: Using a preset step size as a gradient, the rotation speed of the local stirring paddle in the control zone is gradually increased by a gradient over a fixed period of time to obtain the real-time rotation speed of the stirring paddle and the local real-time viscosity of the fermentation broth. Based on the local real-time viscosity of the fermentation broth, the viscosity change rate was confirmed; If the viscosity change rate is greater than a preset viscosity threshold, the rotation speed of the local stirring paddle in the control zone is increased 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.

4. The method for regulating the feeding of agricultural microbial fertilizer fermentation according to claim 1, characterized in that, The step of obtaining sensor effect indication parameters that characterize the direct impact of the physical intervention on the key metabolic parameters includes: Obtain the operational parameters of the physical intervention operation and the physical property parameters reflecting the physicochemical properties of the fermentation broth; Based on the operational parameters of the physical intervention operation, the physical property parameters, and the pre-defined correspondence between the operational parameters and the sensors that directly affect the key metabolic parameters under different physicochemical properties of the fermentation broth, the sensor influence indication parameters are determined.

5. The method for regulating the feeding of agricultural microbial fertilizer fermentation according to claim 4, characterized in that, The step of determining the sensor's influence on the indicator parameters based on the operational parameters of the physical intervention operation, the physical property parameters, and the pre-defined correspondence between the operational parameters under different physicochemical properties of the fermentation broth and the sensor's direct influence on the key metabolic parameters includes: Based on the operating parameters of the physical intervention procedure in the pre-calibration stage, the physical property parameters reflecting the physicochemical properties of the fermentation broth in the pre-calibration stage, the original measurement signals of the key metabolic parameters in the pre-calibration stage, and the calibration reference values, the influence deviation between the pre-set direct influence degree and the actual direct influence degree is determined. Based on the aforementioned influence deviation, the preset correspondence is adjusted to obtain the adjusted correspondence. Based on the operation parameters of the physical intervention operation, the physical property parameters, and the adjusted correspondence, the sensor influence indication parameters are determined.

6. The method for regulating the fermentation of agricultural microbial fertilizer according to claim 5, characterized in that, The step of adjusting the preset correspondence based on the influence deviation to obtain the adjusted correspondence includes: Based on the aforementioned influence deviation, adjust one or more adjustable parameters in the preset correspondence; After the deviation between the degree of direct influence of the sensor determined based on one or more adjusted adjustable parameters and the actual degree of direct influence of the sensor is reduced, the adjusted correspondence is obtained.

7. An agricultural microbial fertilizer fermentation feeding regulation system, characterized in that, The system includes: The acquisition module is used to acquire key metabolic parameters of each control zone in the agricultural microbial fertilizer fermentation tank and local viscosity parameters of the fermentation liquid in each control zone; The feeding control module is used to select a control strategy to regulate the feeding of each control zone based on the key metabolic parameters of each control zone and the local viscosity parameters of the fermentation broth of each control zone, so as to obtain the feeding control result of each control zone. The control strategy includes: If the key metabolic parameters are lower than the preset process setpoint, and the local viscosity parameters of the fermentation broth are within the preset normal baseline range, then routine feeding will be performed. 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, then the feeding operation of the control zone is reduced or stopped and an early warning signal is triggered. If the key metabolic parameter is lower than the preset process set point and the local viscosity parameter of the fermentation broth is higher than the danger threshold, then the feeding operation of the control zone is stopped and a physical intervention operation to reduce the local viscosity of the fermentation broth is initiated. It is also used to increase the rotational speed of the local stirring paddle in the control zone, enhance the shear force to break the viscous liquid boundary layer, and reduce the local viscosity of the fermentation broth; It is also used to monitor key metabolic parameters within each control zone during the execution of the physical intervention operation, and to obtain the rate of change values ​​of the key metabolic parameters; If the rate of change of the acquired key metabolic parameter exceeds the preset rate of change threshold, the state of the control zone where feeding has been stopped will be maintained. If the rate of change of the key metabolic parameter is not greater than the preset rate of change threshold, then the state of the control zone where feeding has stopped is changed to perform reduced or regular feeding. It is also used to acquire raw measurement signals of the key metabolic parameters of each of the control zones during the execution of the physical intervention procedure; Obtain sensor impact indication parameters that characterize the direct impact of the physical intervention on the key metabolic parameters; Based on the original measurement signal and the sensor influence indication parameter, the original measurement signal is corrected to obtain the corrected key metabolic parameter signal. Based on the corrected key metabolic parameter signals, the rate of change of the key metabolic parameters is confirmed.

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