Fermentation control method based on multi-parameter detection and organic fertilizer fermentation storage tank

Abstract

The application belongs to the field of fermentation control, and discloses a fermentation control method based on multi-parameter detection and an organic fertilizer fermentation storage tank. Dissolved oxygen values, temperature values, pH values and turbidity values of respective corresponding areas of sediment layers, middle layers and scum layers from bottom to top in the fermentation tank are obtained, and dissolved oxygen difference threshold values, temperature difference threshold values, pH difference threshold values and turbidity difference threshold values corresponding to adjacent layers of the three levels are obtained, and current stirring parameters of the fermentation tank including stirring speed are obtained. Then, actual differences of the four types of parameters between the adjacent layers are calculated. If the actual difference of any type of parameter is greater than or equal to the corresponding threshold value, the current stirring parameter is increased. The method can adjust the stirring state in a targeted manner, and effectively improve the overall fermentation effect of the organic liquid fertilizer fermentation process.

Description

Technical Field

[0001] This application relates to the field of fermentation control technology, and more specifically, to a fermentation control method based on multi-parameter detection and an organic fertilizer fermentation storage tank. Background Technology

[0002] Fermentation and storage of organic liquid fertilizers is a crucial step in their preparation. Current technologies typically employ fermentation and storage tanks as the core equipment, simultaneously completing the fermentation, composting, and subsequent temporary storage of the organic liquid fertilizer. These devices generally feature a sealed tank structure, allowing for the adjustment of parameters within the tank to provide a suitable metabolic environment for the fermenting microorganisms. This enables centralized management of the organic fertilizer fermentation process to a certain extent and has been widely applied in large-scale organic liquid fertilizer production, providing fundamental hardware support for continuous organic liquid fertilizer production.

[0003] In practical use, the existing organic liquid fertilizer fermentation storage tanks have a significant deficiency in their ability to regulate the homogenization of materials. During the fermentation process, organic liquid fertilizer will exhibit stratification due to differences in its own density and uneven microbial metabolic rates. The fermentation progress of materials in different layers varies significantly, ultimately resulting in uneven fermentation of the entire tank of materials. This requires additional secondary fermentation treatment, which increases production energy consumption and time costs. Summary of the Invention

[0004] The purpose of this application is to provide a fermentation control method based on multi-parameter detection and an organic fertilizer fermentation storage tank, which solves the technical problem that the fermentation process of organic fertilizer is prone to stratification, resulting in uneven fermentation effect, and achieves the technical effect of improving the fermentation effect of organic fertilizer.

[0005] In a first aspect, embodiments of this application provide a fermentation control method based on multi-parameter detection. The method includes: acquiring dissolved oxygen, temperature, pH, and turbidity values ​​for regions corresponding to the sediment layer, intermediate layer, and scum layer from bottom to top within a fermenter; acquiring dissolved oxygen difference thresholds, temperature difference thresholds, pH difference thresholds, and turbidity difference thresholds for adjacent layers of the sediment layer, intermediate layer, and scum layer; acquiring the current stirring parameters of the fermenter; wherein the current stirring parameters include stirring speed; determining the dissolved oxygen difference, temperature difference, pH difference, and turbidity difference between adjacent layers of the sediment layer, intermediate layer, and scum layer, respectively; and increasing the current stirring parameters of the fermenter when the dissolved oxygen value between adjacent layers of the sediment layer, intermediate layer, and scum layer is greater than or equal to the dissolved oxygen difference threshold, the temperature difference is greater than or equal to the temperature difference threshold, the pH difference is greater than or equal to the pH difference threshold, or the turbidity difference is greater than or equal to the turbidity difference threshold.

[0006] In one possible implementation, obtaining the current stirring parameters of the fermenter includes: obtaining the stirring parameters of the sediment layer, the intermediate layer, and the scum layer; when the dissolved oxygen value of adjacent layers between the sediment layer, intermediate layer, and scum layer is greater than or equal to a dissolved oxygen difference threshold, the temperature difference is greater than or equal to a temperature difference threshold, the pH difference is greater than or equal to a pH difference threshold, or the turbidity difference is greater than or equal to a turbidity difference threshold, increasing the current stirring parameters of the fermenter includes: when the dissolved oxygen value between the sediment layer and the intermediate layer is greater than or equal to a dissolved oxygen difference threshold, the temperature difference is greater than or equal to a temperature difference threshold, the pH difference is greater than or equal to a pH difference threshold, or the turbidity difference is greater than or equal to a turbidity difference threshold, increasing the current stirring parameters of the fermenter, including: when the dissolved oxygen value between the sediment layer and the intermediate layer is greater than or equal to a dissolved oxygen difference threshold, the temperature difference is greater than or equal to a temperature difference threshold, the pH difference is greater than or equal to a pH difference threshold, or the turbidity difference is greater than or equal to a turbidity difference threshold. When the temperature difference threshold, pH difference threshold, or turbidity difference threshold is equal to or greater than the pH difference threshold, the stirring parameters of the sediment layer are increased by the magnitude of the first parameter, and the stirring parameters of the intermediate layer are increased by the magnitude of the second parameter. When the dissolved oxygen value between the intermediate layer and the scum layer is equal to or greater than the dissolved oxygen difference threshold, temperature difference threshold, pH difference threshold, or turbidity difference threshold, the stirring parameters of the intermediate layer are increased by the magnitude of the third parameter, and the stirring parameters of the scum layer are increased by the magnitude of the fourth parameter. Among these parameters, the magnitude of the second parameter is greater than the magnitude of the third parameter.

[0007] In another possible implementation, the turbidity difference thresholds corresponding to adjacent layers of the sediment layer, intermediate layer, and scum layer are obtained, including: obtaining the initial value of the turbidity difference, the current substrate fragmentation degree of the fermenter, and the cumulative feed amount; determining the first turbidity adjustment coefficient based on the current substrate fragmentation degree and the cumulative feed amount; and determining the product of the initial value of the turbidity difference and the first turbidity adjustment coefficient as the turbidity difference thresholds corresponding to the sediment layer and the intermediate layer.

[0008] In another possible implementation, obtaining the turbidity difference thresholds corresponding to adjacent layers of the sediment layer, intermediate layer, and scum layer respectively also includes: obtaining the height of the intermediate layer of the fermenter and the fermentation duration; determining a second turbidity adjustment coefficient based on the height of the intermediate layer and the fermentation duration; and determining the product of the turbidity difference threshold between the sediment layer and the intermediate layer and the second turbidity adjustment coefficient as the turbidity difference threshold between the intermediate layer and the scum layer.

[0009] In another possible implementation, the method further includes: determining the pH change rate and turbidity change rate of the sediment layer, intermediate layer, and scum layer within a preset time period; when the dissolved oxygen value of the sediment layer, intermediate layer, and scum layer is greater than or equal to 70%, the pH change rate is less than 0.05 / h, and the turbidity change rate is less than 5% / h within the preset time period, determining the current fermentation stage as a lag period; obtaining the lag parameter amplitude corresponding to the lag period; determining the product of the lag parameter amplitude and 0.5 as the first parameter amplitude, determining the product of the lag parameter amplitude and 0.4 as the second parameter amplitude, determining the product of the lag parameter amplitude and 0.3 as the third parameter amplitude, and determining the product of the lag parameter amplitude and 0.2 as the fourth parameter amplitude.

[0010] In another possible implementation, the method further includes: obtaining the dissolved oxygen value decrease rate and turbidity value change rate of the sediment layer, intermediate layer, and scum layer within a preset time period; determining that the current fermentation stage is the logarithmic growth phase when the dissolved oxygen value decrease rate of the sediment layer, intermediate layer, and scum layer within the preset time period is greater than or equal to 0.5 mg / L / h, the pH value continues to decrease, and the turbidity value change rate is greater than or equal to 5% / h; obtaining the logarithmic parameter amplitude corresponding to the logarithmic growth phase; determining the product of the logarithmic parameter amplitude and 1.5 as the first parameter amplitude, determining the product of the logarithmic parameter amplitude and 1.8 as the second parameter amplitude, determining the product of the logarithmic parameter amplitude and 0.8 as the third parameter amplitude, and determining the product of the logarithmic parameter amplitude and 0.6 as the fourth parameter amplitude.

[0011] In another possible implementation, the method further includes: determining the rate of change of dissolved oxygen, pH, and turbidity in the sediment layer, intermediate layer, and scum layer within a preset time period; determining the current fermentation stage as a stable period when the dissolved oxygen value of the sediment layer, intermediate layer, and scum layer is less than 50%, the rate of change of dissolved oxygen is less than 0.1 mg / L / h, the rate of increase of pH is greater than or equal to 0.01 / h, and the rate of change of turbidity is less than 5% / h; obtaining the stability parameter amplitude corresponding to the stable period; determining the stability parameter amplitude as the first parameter amplitude, determining the product of the stability parameter amplitude and 1.2 as the second parameter amplitude, determining the stability parameter amplitude as the third parameter amplitude, and determining the product of the stability parameter amplitude and 0.8 as the fourth parameter amplitude.

[0012] In another possible implementation, the method further includes: obtaining the dissolved oxygen difference weight, temperature difference weight, pH difference weight, and turbidity difference weight corresponding to the sedimentary layer and the intermediate layer; obtaining the dissolved oxygen difference coefficient corresponding to the dissolved oxygen difference, the temperature difference coefficient corresponding to the temperature difference, the pH difference coefficient corresponding to the pH difference, and the turbidity difference coefficient corresponding to the turbidity difference; determining the sum of the products of the dissolved oxygen difference and the dissolved oxygen difference weight and the dissolved oxygen difference coefficient between the sedimentary layer and the intermediate layer, the product of the temperature difference and the temperature difference weight and the temperature difference coefficient, the product of the pH difference and the pH difference weight and the pH difference coefficient, and the product of the turbidity difference and the turbidity difference weight and the turbidity difference coefficient, as the first interlayer difference coefficient between the sedimentary layer and the intermediate layer; when the first interlayer difference coefficient between the sedimentary layer and the intermediate layer is greater than or equal to the preset first interlayer difference coefficient, increasing the stirring parameter of the sedimentary layer by a first parameter amplitude and increasing the stirring parameter of the intermediate layer by a second parameter amplitude.

[0013] In another possible implementation, the method further includes: obtaining the dissolved oxygen difference weight, temperature difference weight, pH difference weight, and turbidity difference weight corresponding to the intermediate layer and the scum layer; obtaining the dissolved oxygen difference coefficient corresponding to the dissolved oxygen difference, the temperature difference coefficient corresponding to the temperature difference, the pH difference coefficient corresponding to the pH difference, and the turbidity difference coefficient corresponding to the turbidity difference; determining the sum of the products of the dissolved oxygen difference and the dissolved oxygen difference weight, the dissolved oxygen difference coefficient, the temperature difference and the temperature difference weight, the temperature difference coefficient, the pH difference and the pH difference weight, the pH difference coefficient, and the turbidity difference and the turbidity difference weight, the turbidity difference coefficient, as the second interlayer difference coefficient between the intermediate layer and the scum layer; when the second interlayer difference coefficient between the intermediate layer and the scum layer is greater than or equal to the preset second interlayer difference coefficient, increasing the stirring parameter of the intermediate layer by a third parameter and increasing the stirring parameter of the scum layer by a fourth parameter; wherein the second parameter magnitude is greater than the third parameter magnitude.

[0014] Secondly, embodiments of this application provide an organic fertilizer fermentation storage tank based on multi-parameter detection, including units for implementing the above-described method.

[0015] The beneficial effects of the embodiments of this application compared with the prior art are:

[0016] This application provides a fermentation control method based on multi-parameter detection. When the dissolved oxygen value, temperature difference, pH difference, or turbidity difference between adjacent layers of the sediment layer, intermediate layer, and scum layer is greater than or equal to a dissolved oxygen difference threshold, the current stirring parameters of the fermenter are increased. This can specifically break the stratification state, promote the uniform distribution of materials and dissolved oxygen in the tank, and reduce the state differences between different fermentation areas. Using the stratification parameter difference as the adjustment basis, combined with the current stirring parameters of the fermenter, adjustments are made to avoid indiscriminate continuous high-power stirring. While ensuring the uniformity of the fermentation environment, unnecessary energy consumption is reduced, and the negative impact of excessive stirring on the activity of fermentation strains is also reduced, thereby improving the overall stability of fermentation and product yield. Attached Figure Description

[0017] To more clearly illustrate the technical solutions in the embodiments of this application, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0018] Figure 1 A schematic flowchart of the first fermentation control method based on multi-parameter detection provided in the embodiments of this application;

[0019] Figure 2 A schematic diagram illustrating the workflow of the first fermentation control method based on multi-parameter detection provided in this application embodiment;

[0020] Figure 3 A schematic diagram illustrating the workflow of the second fermentation control method based on multi-parameter detection provided in this application embodiment;

[0021] Figure 4 A schematic flowchart of the third fermentation control method based on multi-parameter detection provided in the embodiments of this application;

[0022] Figure 5 A schematic diagram illustrating the workflow of the third fermentation control method based on multi-parameter detection provided in this application embodiment;

[0023] Figure 6 A schematic flowchart of the fourth fermentation control method based on multi-parameter detection provided in the embodiments of this application;

[0024] Figure 7 A schematic diagram illustrating the workflow of the fourth fermentation control method based on multi-parameter detection provided in this application embodiment;

[0025] Figure 8A schematic flowchart of the fifth fermentation control method based on multi-parameter detection provided in the embodiments of this application;

[0026] Figure 9 A schematic diagram illustrating the workflow of the fifth fermentation control method based on multi-parameter detection provided in this application embodiment;

[0027] Figure 10 A schematic flowchart of the sixth fermentation control method based on multi-parameter detection provided in the embodiments of this application;

[0028] Figure 11 A schematic diagram illustrating the workflow of the sixth fermentation control method based on multi-parameter detection provided in this application embodiment;

[0029] Figure 12 A schematic flowchart of the seventh fermentation control method based on multi-parameter detection provided in the embodiments of this application;

[0030] Figure 13 A schematic diagram illustrating the workflow of the seventh fermentation control method based on multi-parameter detection provided in this application embodiment;

[0031] Figure 14 A schematic flowchart of the eighth fermentation control method based on multi-parameter detection provided in the embodiments of this application;

[0032] Figure 15 A schematic flowchart of the ninth fermentation control method based on multi-parameter detection provided in the embodiments of this application;

[0033] Figure 16 This is a schematic diagram of the logical structure of an organic fertilizer fermentation storage tank based on multi-parameter detection, provided in an embodiment of this application. Detailed Implementation

[0034] It should be understood that, when used in this application specification and the appended claims, the term "comprising" indicates the presence of the described features, integrals, steps, operations, elements and / or components, but does not exclude the presence or addition of one or more other features, integrals, steps, operations, elements, components and / or a collection thereof.

[0035] It should also be understood that the term “and / or” as used in this application specification and the appended claims means any combination of one or more of the associated listed items and all possible combinations, and includes such combinations.

[0036] As used in this application specification and the appended claims, the term "if" may be interpreted, depending on the context, as "when," "once," "in response to determination," or "in response to detection." Similarly, the phrase "if determined" or "if detected [the described condition or event]" may be interpreted, depending on the context, as meaning "once determined," "in response to determination," "once detected [the described condition or event]," or "in response to detection [the described condition or event]."

[0037] Furthermore, in the description of this application and the appended claims, the terms "first," "second," "third," etc., are used only to distinguish descriptions and should not be construed as indicating or implying relative importance.

[0038] References to "one embodiment" or "some embodiments" as described in this specification mean that one or more embodiments of this application include a specific feature, structure, or characteristic described in connection with that embodiment. Therefore, the phrases "in one embodiment," "in some embodiments," "in other embodiments," "in still other embodiments," etc., appearing in different parts of this specification do not necessarily refer to the same embodiment, but rather mean "one or more, but not all, embodiments," unless otherwise specifically emphasized. The terms "comprising," "including," "having," and variations thereof mean "including but not limited to," unless otherwise specifically emphasized.

[0039] Existing organic liquid fertilizer fermentation storage tanks have a significant deficiency in their ability to regulate the homogenization of materials, resulting in poor fermentation effects of liquid fertilizers.

[0040] Based on the above reasons, this application provides a fermentation control method based on multi-parameter detection. The method includes: acquiring the dissolved oxygen, temperature, pH, and turbidity values ​​of regions corresponding to the sediment layer, intermediate layer, and scum layer from bottom to top in the fermenter; acquiring the dissolved oxygen difference threshold, temperature difference threshold, pH difference threshold, and turbidity difference threshold corresponding to adjacent layers of the sediment layer, intermediate layer, and scum layer; acquiring the current stirring parameters of the fermenter; wherein the current stirring parameters include stirring speed; determining the dissolved oxygen difference, temperature difference, pH difference, and turbidity difference corresponding to the dissolved oxygen, temperature, pH, and turbidity values ​​between adjacent layers of the sediment layer, intermediate layer, and scum layer; increasing the current stirring parameters of the fermenter when the dissolved oxygen value between adjacent layers of the sediment layer, intermediate layer, and scum layer is greater than or equal to the dissolved oxygen difference threshold, the temperature difference threshold, the pH difference threshold, or the turbidity difference threshold. In this embodiment, when the dissolved oxygen value, temperature difference, pH difference, or turbidity difference between adjacent layers of the sediment layer, intermediate layer, and scum layer is greater than or equal to a dissolved oxygen difference threshold, the current stirring parameters of the fermenter are increased. This can specifically break the stratification state, promote the uniform distribution of materials and dissolved oxygen within the tank, and reduce the state differences between different fermentation areas. Using the stratification parameter difference as the adjustment basis, combined with the current stirring parameters of the fermenter, adjustments are made to avoid indiscriminate continuous high-power stirring. While ensuring the uniformity of the fermentation environment, unnecessary energy consumption is reduced, and the negative impact of excessive stirring on the activity of fermentation strains is also reduced, thereby improving the overall stability of fermentation and product yield.

[0041] In some scenarios, the fermentation control method based on multi-parameter detection of this application embodiment can be applied to the microbial fermentation scenario of mass production of liquid fertilizer, which can accurately sense the parameter differences of different material layers and adjust the stirring in a timely manner.

[0042] In other scenarios, the fermentation control method based on multi-parameter detection of this application embodiment can also be applied to the fermentation scenario of small-batch liquid fertilizer production, quickly responding to interlayer parameter deviations and optimizing stirring parameters.

[0043] The following describes in detail a fermentation control method based on multi-parameter detection provided in the embodiments of this application, using specific examples.

[0044] Figure 1 A schematic flowchart of the first fermentation control method based on multi-parameter detection provided in the embodiments of this application is shown below. Figure 1 As shown in the embodiment of this application, a fermentation control method based on multi-parameter detection is provided. The method includes S110 to S120, and S110 to S120 are described in detail below.

[0045] S110. Obtain the dissolved oxygen, temperature, pH, and turbidity values ​​for the corresponding regions of the sediment layer, intermediate layer, and scum layer from bottom to top within the fermenter. Obtain the dissolved oxygen difference threshold, temperature difference threshold, pH difference threshold, and turbidity difference threshold for adjacent layers of the sediment layer, intermediate layer, and scum layer. Obtain the current stirring parameters of the fermenter. The current stirring parameters include the stirring speed.

[0046] Figure 2 A schematic diagram of the workflow of the first fermentation control method based on multi-parameter detection provided in the embodiments of this application is shown below. Figure 2 As shown, in this implementation, multiple detection points can be set from bottom to top along the height direction inside the fermenter, each corresponding to a different layered area. Fermentation parameters in each layered area are collected one by one, and the dissolved oxygen value, temperature value, pH value and turbidity value corresponding to the sediment layer, intermediate layer and scum layer are extracted.

[0047] For example, multiple sets of integrated detection sensors can be fixed along the axial direction on the inner wall of the fermenter. Each set of sensors corresponds to a height range, and the three different functional areas are divided from low to high according to the height, corresponding to the sediment layer, intermediate layer and scum layer respectively. The four parameters of each layer area can be read directly from the corresponding sensor.

[0048] In this implementation, different parameter ranges can be preset for the two adjacent layers, namely the sediment layer and the intermediate layer, and the intermediate layer and the scum layer, and the dissolved oxygen difference threshold, temperature difference threshold, pH difference threshold and turbidity difference threshold corresponding to each adjacent layer combination can be extracted.

[0049] For example, there are different material composition differences between the sediment layer and the intermediate layer, and between the intermediate layer and the scum layer. Based on the characteristics of the fermentation raw materials and the requirements of the fermentation stage, different difference thresholds can be set for the two groups of adjacent layers.

[0050] For example, the sediment layer, intermediate layer, and scum layer in the fermenter can be divided according to the proportion of their height from the bottom of the tank to the total liquid level. The sediment layer is the area with a height of 0% to 15% of the total liquid level from the bottom of the tank, the intermediate layer is the area with a height of 15% to 85% of the total liquid level from the bottom of the tank, and the scum layer is the area with a height of 85% to 100% of the total liquid level from the bottom of the tank.

[0051] In this implementation, the stirring operation parameters under the current operating status can be read from the current control system of the fermenter, and the stirring speed parameter can be extracted from them.

[0052] For example, the current stirring parameters can be directly exported through the human-machine interface of the fermenter or the storage module of the control system, from which the specific value of the stirring speed can be obtained.

[0053] For example, in a fermentation tank for anaerobic fermentation of kitchen waste, the total liquid level is 3 meters. The area from 0 to 0.45 meters from the bottom of the tank is designated as the sedimentation layer, mainly containing incompletely decomposed solid impurities. The area from 0.45 meters to 2.55 meters is designated as the intermediate layer, which is the main liquid phase region for fermentation. The area from 2.55 meters to 3 meters is designated as the scum layer, mainly containing floating scum and foam produced during fermentation.

[0054] For example, an integrated detection probe can be installed at the corresponding position in each layered area. The probe integrates a dissolved oxygen electrode, a temperature sensor, a pH electrode, and a turbidity sensor. After the probe converts the detected analog signal into a digital signal, it is transmitted to the control system of the fermenter to directly read the four parameter values ​​of the corresponding layer.

[0055] For example, in the methanogenic anaerobic fermentation process, the sediment layer is mostly solid, and the dissolved oxygen content is much lower than that of the intermediate layer. Based on the normal fluctuation data of the long-term fermentation process, the threshold for the difference in dissolved oxygen between the sediment layer and the intermediate layer can be set to 2 mg / L. If the actual difference exceeds this threshold, it indicates that the stratification and mixing state is abnormal.

[0056] For example, the scum layer is mostly a foam layer of gas-liquid mixture, and its temperature is lower than that of the middle liquid fermentation layer. Based on the normal temperature fluctuation range of fermentation, the temperature difference threshold between the middle layer and the scum layer can be set to 1.5℃. If the actual difference exceeds this threshold, it indicates that the heat transfer or stratification state is abnormal.

[0057] For example, acidic scum will change the pH value of the scum layer. Based on the pH fluctuation range of the normal fermentation process, the pH difference threshold between the intermediate layer and the scum layer can be set to 0.5. If the actual difference exceeds this threshold, it indicates that the pH stratification is abnormal.

[0058] For example, the turbidity of the sediment layer is much higher than that of the intermediate fermentation layer. Based on the turbidity fluctuation range of normal fermentation, the threshold for the turbidity difference between the sediment layer and the intermediate layer can be set to 200 NTU (Nephelometric Turbidity Unit). If the actual difference exceeds this threshold, it indicates that the solids are abnormally suspended.

[0059] For example, the stirring speed can be divided into a constant speed parameter for constant-speed stirring, a current real-time speed parameter for variable-speed stirring, and a target speed parameter corresponding to the current stirring stage in segmented stirring.

[0060] S120. Determine the dissolved oxygen, temperature, pH, and turbidity differences between adjacent layers of the sediment layer, intermediate layer, and scum layer, respectively. When the dissolved oxygen, temperature, pH, and turbidity differences between adjacent layers of the sediment layer, intermediate layer, and scum layer are greater than or equal to the dissolved oxygen difference threshold, the temperature difference threshold, the pH difference threshold, or the turbidity difference threshold, increase the current stirring parameters of the fermenter.

[0061] In this implementation, the dissolved oxygen value, temperature value, pH value and turbidity value corresponding to the two adjacent layers, namely the sediment layer and the intermediate layer, and the intermediate layer and the scum layer, can be calculated separately to obtain the dissolved oxygen difference, temperature difference, pH difference and turbidity difference corresponding to each of the two adjacent layers.

[0062] For example, the detection values ​​of four parameters of the sediment layer, intermediate layer and scum layer can be stored in advance, and the corresponding parameters of each group of adjacent layers can be retrieved in sequence to complete the difference calculation of all items and sort out the difference results of all parameters of each group of adjacent layers.

[0063] For example, when calculating the parameter difference between adjacent layers, the difference between the absolute values ​​of the corresponding parameters of the two layers is taken as the final difference. The dissolved oxygen value of the sediment layer is 0.2 mg / L, and the dissolved oxygen value of the intermediate layer is 2.3 mg / L. The difference between the two dissolved oxygen values ​​is |0.2-2.3|=2.1 mg / L. The calculation method for the differences of other parameters is the same.

[0064] In this implementation, the difference of each parameter in each group of adjacent layers can be compared with the dissolved oxygen difference threshold, temperature difference threshold, pH difference threshold, and turbidity difference threshold of the corresponding item in the adjacent layer. As long as the difference of any parameter is greater than or equal to the corresponding difference threshold, the fermentation stirring parameter adjustment operation is triggered to increase the current stirring parameter of the fermenter.

[0065] For example, the comparison can be completed sequentially from dissolved oxygen difference to turbidity difference. As long as the difference of any one of the items meets the condition of being greater than or equal to the corresponding threshold, the adjustment will be triggered directly, without having to complete the comparison of all items before triggering the adjustment.

[0066] For example, the judgment logic adopts OR logic. As long as the difference of any parameter in any pair of adjacent layers, such as the sediment layer and the intermediate layer, or the intermediate layer and the scum layer, is greater than or equal to the corresponding difference threshold, the adjustment condition is met. If the dissolved oxygen difference between the sediment layer and the intermediate layer is 2.1 mg / L, and the corresponding dissolved oxygen difference threshold is 2 mg / L, the condition is met, and stirring adjustment is directly triggered.

[0067] In this implementation, the stirring speed in the current stirring parameters of the fermenter can be adjusted according to the parameter items that trigger the adjustment and the magnitude of the difference exceeding the threshold. This increases the value of the stirring speed, enhances the mixing effect of the materials in the fermenter, and reduces the parameter difference between adjacent layers.

[0068] For example, the stirring speed can be increased according to a preset adjustment gradient. Each time the adjustment is triggered, the speed is increased by a fixed gradient until the parameter difference falls back to the threshold range.

[0069] For example, the stirring speed is adjusted using a step-by-step increment rule. The current stirring speed is 100 r / min, and the adjustment gradient is set to 20 r / min / time. Each time an adjustment is triggered, the stirring speed is increased by 20 r / min, and after adjustment, it becomes 120 r / min. If the adjustment conditions are still met, the speed is increased again until the maximum stirring speed allowed by the fermenter is reached.

[0070] This method collects dissolved oxygen, temperature, pH, and turbidity values ​​for the corresponding regions of the sediment layer, intermediate layer, and scum layer in the fermenter. It also acquires the dissolved oxygen difference threshold, temperature difference threshold, pH difference threshold, and turbidity difference threshold for adjacent layers. By comparing the corresponding parameter differences and thresholds between adjacent layers, it determines whether the stirring parameters need to be adjusted. This enables precise sensing of layered parameters and avoids the state judgment error caused by detecting parameters in only a single region.

[0071] This implementation method increases the current stirring parameters of the fermenter when the dissolved oxygen value, temperature difference, pH difference, or turbidity difference between adjacent layers of the sediment layer, intermediate layer, and scum layer is greater than or equal to a dissolved oxygen difference threshold, a temperature difference threshold, a pH difference threshold, or a turbidity difference threshold. This can specifically break up the stratification state, promote the uniform distribution of materials and dissolved oxygen within the tank, and reduce the state differences between different fermentation areas. By using the stratification parameter difference as the adjustment basis and combining it with the current stirring parameters of the fermenter, indiscriminate continuous high-power stirring is avoided. While ensuring the uniformity of the fermentation environment, unnecessary energy consumption is reduced, and the negative impact of excessive stirring on the activity of fermentation strains is also reduced, thereby improving the overall stability of fermentation and product yield.

[0072] In some implementations, in S110 above, obtaining the current stirring parameters of the fermenter includes: obtaining the stirring parameters of the sedimentation layer, the stirring parameters of the intermediate layer, and the stirring parameters of the scum layer.

[0073] In this implementation, the specific stirring control parameters for each of the three different layers of the fermenter—the sediment layer, the intermediate layer, and the scum layer—can be extracted from bottom to top, and the stirring parameters for the sediment layer, the intermediate layer, and the scum layer can be obtained.

[0074] For example, for a fermenter with a multi-layered stirring structure, the stirring parameters corresponding to the three layers can be read from the parameter storage partition of the control system, and the stirring parameters of the sediment layer, the intermediate layer, and the scum layer can be stored separately.

[0075] For example, in a fermenter with a layered stirring structure, each of the three layers is equipped with an independent stirring drive mechanism. The stirring parameters of the sediment layer, the intermediate layer, and the scum layer can be directly read from the controller of the corresponding layer stirring drive mechanism to obtain the current operating parameter values.

[0076] For example, for a fermenter with a unified main shaft stirring and different stirring paddles set at different heights, the preset stirring parameters of the corresponding stirring layer can be read from the preset parameter table of the fermenter main control system to obtain the stirring parameters of the sediment layer, the stirring parameters of the intermediate layer and the stirring parameters of the scum layer.

[0077] In some implementations, in S120 above, when the dissolved oxygen value of adjacent layers between the sediment layer, intermediate layer, and scum layer is greater than or equal to the dissolved oxygen difference threshold, the temperature difference is greater than or equal to the temperature difference threshold, the pH difference is greater than or equal to the pH difference threshold, or the turbidity difference is greater than or equal to the turbidity difference threshold, the current stirring parameters of the fermenter are increased, including: when the dissolved oxygen value between the sediment layer and the intermediate layer is greater than or equal to the dissolved oxygen difference threshold, the temperature difference is greater than or equal to the temperature difference threshold, the pH difference is greater than or equal to the pH difference threshold, or the turbidity difference is greater than or equal to the turbidity difference threshold, the stirring parameters of the sediment layer are increased by a first parameter amplitude, and the stirring parameters of the intermediate layer are increased by a second parameter amplitude.

[0078] Figure 3 A schematic diagram of the workflow of the second fermentation control method based on multi-parameter detection provided in the embodiments of this application is shown below. Figure 3 As shown, in this implementation, the difference between parameters of adjacent layers and the corresponding threshold are determined first. When the difference between any parameter between the deposition layer and the intermediate layer meets the trigger condition, the stirring parameters of the two layers are increased by different preset magnitudes.

[0079] For example, information about abnormal adjacent layers can be obtained from the judgment module. After confirming that only the sedimentation layer and the intermediate layer have triggered the adjustment conditions, the stirring parameter adjustment module of the corresponding layer can be called to increase the stirring parameters of the sedimentation layer and the intermediate layer by a preset amount.

[0080] For example, the first parameter amplitude is the increase in the stirring speed of the sedimentation layer, in revolutions per minute, corresponding to the adjustment amount of the stirring speed in the sedimentation layer stirring parameters, adapting to the mixing requirements of the solid materials in the sedimentation layer. The second parameter amplitude is the increase in the stirring speed of the intermediate layer, in revolutions per minute, corresponding to the adjustment amount of the stirring speed in the intermediate layer stirring parameters.

[0081] In this implementation, adjustment commands can be output to the stirring control modules of the sedimentation layer and the intermediate layer respectively, increasing the corresponding parameter amplitude on the basis of the original stirring parameters to complete the targeted adjustment.

[0082] For example, the current stirring parameters of the sedimentation layer can be read first, the stirring speed value can be added to the amplitude of the first parameter to obtain the adjusted stirring speed of the sedimentation layer, and then sent to the stirring drive mechanism of the sedimentation layer. The stirring parameters of the intermediate layer can be adjusted in the same way.

[0083] For example, the current stirring speed of the sedimentation layer is 80 r / min, the first parameter amplitude is 20 r / min, and after adjustment, the stirring speed of the sedimentation layer is updated to 100 r / min. This parameter is directly written into the sedimentation layer stirring controller to complete the adjustment of the sedimentation layer stirring parameters.

[0084] For example, the current stirring speed of the intermediate layer is 100 r / min, and the second parameter amplitude is 15 r / min. After adjustment, the stirring speed of the intermediate layer is updated to 115 r / min. This parameter is sent to the intermediate layer stirring drive mechanism to complete the adjustment of the intermediate layer stirring parameters, while the stirring parameters of the scum layer remain unchanged.

[0085] In some implementations, in S120 above, when the dissolved oxygen value of adjacent layers between the sediment layer, intermediate layer, and scum layer is greater than or equal to a dissolved oxygen difference threshold, a temperature difference threshold, a pH difference threshold, or a turbidity difference threshold, the current stirring parameters of the fermenter are increased. This further includes: when the dissolved oxygen value between the intermediate layer and the scum layer is greater than or equal to a dissolved oxygen difference threshold, a temperature difference threshold, a pH difference threshold, or a turbidity difference threshold, the stirring parameters of the intermediate layer are increased by a third parameter, and the stirring parameters of the scum layer are increased by a fourth parameter. The second parameter magnitude is greater than the third parameter magnitude.

[0086] Figure 3 A schematic diagram of the workflow of the second fermentation control method based on multi-parameter detection provided in the embodiments of this application is shown below. Figure 3As shown, in this implementation, the difference between parameters of adjacent layers and the corresponding threshold are determined first. When the difference between any parameter between the intermediate layer and the scum layer meets the trigger condition, the stirring parameters of the intermediate layer and the scum layer are increased by different preset magnitudes, and the magnitude of the second parameter is kept greater than the magnitude of the third parameter.

[0087] For example, the amplitude of the third parameter is the increase in the stirring speed of the intermediate layer, in revolutions per minute, corresponding to the adjustment amount of the stirring speed in the intermediate layer stirring parameters. The amplitude of the fourth parameter is the increase in the stirring speed of the scum layer, or the decrease in the running interval of the scum layer foam breaking and stirring, corresponding to the adjustment amount of the scum layer stirring parameters.

[0088] For example, for a layered structure with periodic stirring, the third parameter is the increase in the proportion of stirring operation in the middle layer, and the fourth parameter is the increase in the proportion of stirring operation in the scum layer, which corresponds to adjusting the proportion of stirring operation time within a unit cycle.

[0089] In this implementation, adjustment commands can be output to the stirring control modules of the intermediate layer and the scum layer respectively, increasing the corresponding parameter amplitude on the basis of the original stirring parameters to complete the targeted adjustment and keep the stirring parameters of the sediment layer unchanged.

[0090] For example, the current stirring parameters of the intermediate layer can be read first, the stirring speed value and the amplitude of the third parameter can be added together to obtain the adjusted stirring speed of the intermediate layer, and then sent to the intermediate layer stirring drive mechanism. The stirring parameters of the scum layer can be adjusted in the same way.

[0091] For example, the current stirring speed of the intermediate layer is 100 r / min, the amplitude of the third parameter is 10 r / min, and after adjustment, the stirring speed of the intermediate layer is updated to 110 r / min. This parameter is written into the intermediate layer stirring controller to complete the adjustment of the intermediate layer stirring parameters.

[0092] For example, the current stirring speed of the scum layer is 70 r / min, and the amplitude of the fourth parameter is 15 r / min. After adjustment, the stirring speed of the scum layer is updated to 85 r / min. The parameters are sent to the stirring drive mechanism of the scum layer to complete the adjustment of the stirring parameters of the scum layer, while the stirring parameters of the sediment layer remain unchanged.

[0093] In this implementation, the adjustment range is set differently to meet the mixed requirements of the intermediate layer under different abnormal scenarios, so as to adapt to the abnormal adjustment needs of different combinations of adjacent layers.

[0094] For example, when the sedimentary layer and the intermediate layer are abnormal, the stirring intensity of the intermediate layer needs to be increased significantly to break up the solids in the sedimentary layer and promote stratified mixing. When the intermediate layer and the scum layer are abnormal, the stirring intensity of the intermediate layer does not need to be increased too much to avoid excessive agitation.

[0095] For example, if the sediment layer is a high-density solid material layer, and the intermediate layer parameters are abnormal, a greater increase in the intermediate layer stirring intensity is needed to suspend the solids; therefore, the second parameter is set to a larger value. If both the intermediate layer and the scum layer are low-density materials, only a smaller increase in intermediate layer stirring is needed; therefore, the third parameter is set to a smaller value.

[0096] For example, the amplitude of the second parameter is set to 15 r / min and the amplitude of the third parameter is set to 10 r / min, which satisfies the requirement that the amplitude of the second parameter is greater than the amplitude of the third parameter, and adapts to the stirring adjustment needs under different abnormal scenarios.

[0097] This method obtains the sedimentation layer stirring parameters, the intermediate layer stirring parameters, and the scum layer stirring parameters of the fermenter. Then, the stirring parameters of the corresponding layers are adjusted according to the parameter differences between different adjacent layers, so as to achieve precise layered control and avoid energy waste caused by overall stirring adjustment.

[0098] This implementation method addresses the issue that when the difference between corresponding parameters of the sediment layer and the intermediate layer exceeds a threshold, by increasing the amplitude of the first parameter of the sediment layer's stirring parameter and the amplitude of the second parameter of the intermediate layer's stirring parameter. This effectively breaks down the state differences between the bottom sediment and the intermediate layer, accelerates the mixing of bottom materials, and reduces fermentation lag in the sediment area. When the difference between corresponding parameters of the intermediate layer and the scum layer exceeds a threshold, by increasing the amplitude of the third parameter of the intermediate layer's stirring parameter and the amplitude of the fourth parameter of the scum layer's stirring parameter, with the second parameter amplitude being greater than the third parameter amplitude. This adapts to the mixing requirements of different layers, efficiently eliminating scum layering while avoiding excessive disturbance to the fermentation environment of the intermediate layer, thus ensuring a stable fermentation process.

[0099] Figure 4 A schematic flowchart of the third fermentation control method based on multi-parameter detection provided in the embodiments of this application is shown below. Figure 4 As shown, in some implementations, in the above-mentioned S110, the turbidity difference thresholds corresponding to adjacent layers of the sediment layer, intermediate layer and scum layer are obtained, including S111 to S112. S111 to S112 will be explained in detail below.

[0100] S111: Obtain the initial value of turbidity difference, the current substrate breakage degree of the fermenter, and the cumulative amount of feed.

[0101] Figure 5 A schematic diagram of the workflow of the third fermentation control method based on multi-parameter detection provided in the embodiments of this application is shown below. Figure 5As shown in this implementation mode, the difference in turbidity between adjacent layers obtained by first detection and calculation after fermentation initiation can be extracted. Meanwhile, the crushing degree of the current fermentation substrate is obtained through the detection module equipped with the fermenter, the cumulative total feeding amount from the start of the current fermentation to the current time point is counted, and the three types of parameters are collected and organized.

[0102] For example, the pre-stored initial turbidity difference can be read from the parameter storage area of the fermentation control system, the current substrate crushing degree data can be read from the online detection module, and the cumulative feeding amount can be read from the feeding statistics module, so as to complete the acquisition of the three types of parameters.

[0103] Illustratively, the initial turbidity difference is the turbidity difference calculated between two adjacent layers when the first layered parameter detection is completed after fermentation initiation, and serves as the reference turbidity difference for the initial fermentation state.

[0104] Illustratively, after feeding is completed at fermentation initiation, the turbidity of the sedimentation layer and the middle layer is detected for the first time, and the calculated turbidity difference is 180 NTU. This value is the initial turbidity difference between the sedimentation layer and the middle layer, which is directly stored and obtained by reading.

[0105] Illustratively, an online particle size detector can be installed at the discharge port of the fermenter to extract the substrate sample in the current fermenter, detect the particle size distribution of the substrate particles, calculate the average particle size, and take the crushing degree value corresponding to the average particle size as the current substrate crushing degree, which is directly obtained by reading.

[0106] Illustratively, indirect calculation can be performed through the measured turbidity value of the sedimentation layer. A higher turbidity of the sedimentation layer indicates a higher proportion of fine particles and a higher substrate crushing degree. The current substrate crushing degree can be calculated through the pre-calibrated correspondence between turbidity and crushing degree.

[0107] Illustratively, a flow metering module can be installed on the feeding pipeline of the fermenter, and the current feeding amount is accumulated to the total feeding amount every time one feeding is completed. The accumulated total value directly read from the feeding metering module is the cumulative feeding amount.

[0108] Illustratively, for a fermentation process adopting batch feeding, the number of feeding batches that have been currently completed can be counted, and the rated feeding amount of each batch is added, and the obtained total weight is the current cumulative feeding amount.

[0109] S112: Determine the first turbidity adjustment coefficient according to the current substrate crushing degree and the cumulative feeding amount. The product of the initial turbidity difference and the first turbidity adjustment coefficient is determined as the turbidity difference threshold corresponding to the sedimentation layer and the middle layer.

[0110] In this implementation, the first turbidity adjustment coefficient, which is adapted to the current fermentation state, can be calculated according to the preset correspondence based on the obtained current substrate breakage degree and cumulative feed amount. This coefficient is used to correct the initial turbidity difference to obtain the final turbidity difference threshold.

[0111] For example, a pre-stored table of empirical values ​​can be retrieved, and the basic adjustment coefficient and correction coefficient can be obtained by combining the current substrate breakage and cumulative feed amount. The basic adjustment coefficient is then multiplied by the correction coefficient to obtain the final first turbidity adjustment coefficient.

[0112] For example, the higher the substrate fragmentation, the easier it is for fine particles to suspend, and the smaller the allowable turbidity difference. Therefore, the basic adjustment coefficient decreases linearly with increasing fragmentation. The larger the cumulative feed amount, the more material in the fermenter, and the larger the allowable turbidity difference. Therefore, the correction coefficient increases linearly with increasing cumulative feed amount, and the first turbidity adjustment coefficient is equal to the basic adjustment coefficient multiplied by the correction coefficient.

[0113] For example, the basic adjustment coefficient corresponding to the current substrate breakage is 0.9, the correction coefficient corresponding to the cumulative feed amount is 1.1, and the first turbidity adjustment coefficient is calculated as 0.9 × 1.1 = 0.99.

[0114] In this implementation, the initial value of the turbidity difference obtained in advance and the calculated first turbidity adjustment coefficient can be multiplied. The calculation result is directly used as the turbidity difference threshold corresponding to the sediment layer and the intermediate layer to complete the dynamic threshold update.

[0115] For example, the initial value of the turbidity difference can be read from the storage area, the multiplication operation module and the first turbidity adjustment coefficient can be called to calculate, and the calculation result can be written to the storage location of the corresponding turbidity difference threshold of the deposition layer and the intermediate layer to complete the threshold update.

[0116] For example, the initial value of the turbidity difference between the sedimentary layer and the intermediate layer is 180 NTU. The first turbidity adjustment coefficient is calculated to be 0.99. The turbidity difference threshold corresponding to the sedimentary layer and the intermediate layer is calculated to be 180 × 0.99 = 178.2 NTU. This value is the final turbidity difference threshold used.

[0117] This implementation method obtains the initial value of turbidity difference, the current substrate breakage degree of the fermenter, and the cumulative amount of feed. Then, it combines these two parameters to determine the first turbidity adjustment coefficient, which can adapt to the real-time feeding status and substrate status, avoiding the problem of mismatch between the fixed turbidity threshold and the actual fermentation conditions.

[0118] This implementation uses the product of the initial turbidity difference and the first turbidity adjustment coefficient as the turbidity difference threshold between the sedimentary layer and the intermediate layer, achieving dynamic adaptation of the turbidity judgment standard. This improves the accuracy of judging the stratification state of the sedimentary layer and the intermediate layer, reducing misjudgments or omissions. Based on the feeding and substrate state adjustment thresholds during the actual fermentation process, it can more accurately trigger the corresponding stirring parameter adjustments. While ensuring the mixing effect of the bottom material, it avoids unnecessary stirring parameter adjustments, reduces energy consumption, and minimizes disturbance to the fermentation process.

[0119] Figure 6 A schematic flowchart of the fourth fermentation control method based on multi-parameter detection provided in the embodiments of this application is shown below. Figure 6 As shown, in some implementations, in the above-mentioned S110, the turbidity difference thresholds corresponding to adjacent layers of the sediment layer, intermediate layer and scum layer are obtained, including S113 to S114. S113 to S114 will be explained in detail below.

[0120] S113. Obtain the height of the middle layer of the fermenter and the fermentation duration.

[0121] Figure 7 A schematic diagram of the workflow of the fourth fermentation control method based on multi-parameter detection provided in the embodiments of this application is shown below. Figure 7 As shown, in this implementation, the actual height of the middle layer under the current fermentation state can be detected by a height detection module installed on the inner wall of the fermenter. At the same time, the total time from the start of fermentation to the current time point is counted. These two parameters are used for the subsequent calculation of the turbidity difference threshold.

[0122] For example, multiple liquid level detection sensors can be arranged along the axial direction of the fermenter. Based on the sensor positions triggered by different layer interfaces, the actual height of the middle layer can be calculated. At the same time, the time elapsed since the start of fermentation can be read from the timing module of the fermentation control system, thus acquiring two parameters.

[0123] For example, multiple capacitive liquid level sensors are installed at equal intervals along the axial direction of the fermenter. The dielectric constants of the sediment layer, intermediate layer, and scum layer are different. The position triggered by the sensor corresponds to the upper and lower layer interfaces. The height difference obtained by subtracting the lower interface position from the upper interface position is the height of the intermediate layer.

[0124] For example, the height of the upper interface of the sediment layer and the lower interface of the scum layer are detected by a laser level detector installed on the top of the fermenter. The difference between the two heights is the height of the intermediate layer, and the detection result is directly read.

[0125] For example, the fermentation control system has a built-in timing module that starts timing when fermentation is completed and enters the stable fermentation stage. Before each parameter detection, the current cumulative duration of the timing module is read, and this cumulative duration is the fermentation duration.

[0126] For example, in a fermentation process using timed feeding and replenishment, the effective fermentation time is obtained by subtracting the cumulative time of all shutdowns and maintenance from the time difference between the fermentation start time and the current detection time.

[0127] S114. Determine the second turbidity adjustment coefficient based on the height of the intermediate layer and the fermentation duration. The product of the turbidity difference threshold between the sediment layer and the intermediate layer and the second turbidity adjustment coefficient is used as the turbidity difference threshold between the intermediate layer and the scum layer.

[0128] In this implementation, the second turbidity adjustment coefficient, which is adapted to the current fermentation state, can be calculated according to a preset correspondence based on the obtained intermediate layer height and fermentation duration. This coefficient is used to derive the turbidity difference threshold between the intermediate layer and the scum layer.

[0129] For example, a pre-stored intermediate layer height coefficient mapping table and fermentation duration coefficient correction table can be retrieved, and the final second turbidity adjustment coefficient can be determined by combining the currently obtained intermediate layer height and fermentation duration.

[0130] For example, a higher intermediate layer height indicates a larger amount of material in the intermediate layer, resulting in a more stable amount of scum accumulated in the scum layer and a larger permissible turbidity difference. Therefore, the basic adjustment coefficient increases linearly with the increase of the intermediate layer height. A longer fermentation duration leads to more complete substrate decomposition, a more stable amount of scum production, and a smaller permissible turbidity difference. The correction coefficient decreases linearly with the extension of fermentation duration. The second turbidity adjustment coefficient is equal to the basic adjustment coefficient multiplied by the correction coefficient.

[0131] For example, by using an empirical value table, the basic adjustment coefficient corresponding to the intermediate layer height is determined to be 1.05, the correction coefficient corresponding to the fermentation duration is determined to be 0.95, and the second turbidity adjustment coefficient can be calculated as 1.05 × 0.95 = 0.9975.

[0132] In this implementation, the calculated turbidity difference threshold between the sediment layer and the intermediate layer can be multiplied with the calculated second turbidity adjustment coefficient, and the result can be directly used as the turbidity difference threshold between the intermediate layer and the scum layer.

[0133] For example, the turbidity difference threshold between the sediment layer and the intermediate layer has been calculated to be 178.2 NTU, the second turbidity adjustment coefficient has been calculated to be 0.9975, and the turbidity difference threshold between the intermediate layer and the scum layer has been calculated to be 178.2 × 0.9975 ≈ 177.76 NTU. This value is the final turbidity difference threshold used.

[0134] This implementation method obtains the height of the middle layer and the fermentation duration of the fermenter. By combining these two parameters, a second turbidity adjustment coefficient is calculated to adapt to the real-time status of the fermentation process and the distribution of materials in the middle layer, making the threshold setting more consistent with the characteristics of the actual fermentation stage.

[0135] This implementation uses the product of the turbidity difference threshold between the sediment layer and the intermediate layer and the second turbidity adjustment coefficient as the turbidity difference threshold between the intermediate layer and the scum layer. This enables dynamic adjustment of the upper layer determination threshold, improving the accuracy of the stratification state determination between the intermediate layer and the scum layer. By using a correlated dynamic turbidity difference threshold for different adjacent layers, the stirring parameter adjustment of the corresponding layer can be triggered more accurately, reducing scum agglomeration. At the same time, it avoids energy waste and fermentation environment disturbance caused by indiscriminate adjustment, ensuring a stable and efficient fermentation process.

[0136] Figure 8 A schematic flowchart of the fifth fermentation control method based on multi-parameter detection provided in the embodiments of this application is shown below. Figure 8 As shown, in some implementations, the above method also includes S210 to S220, which will be described in detail below.

[0137] S210. Determine the pH and turbidity change rates of the sediment layer, intermediate layer, and scum layer within a preset time period. When the dissolved oxygen value of the sediment layer, intermediate layer, and scum layer is greater than or equal to 70%, the pH change rate is less than 0.05 / h, and the turbidity change rate is less than 5% / h within the preset time period, the current fermentation stage is determined to be the lag phase.

[0138] Figure 9 A schematic diagram of the workflow of the fifth fermentation control method based on multi-parameter detection provided in the embodiments of this application is shown below. Figure 9 As shown, in this implementation, the changes in pH and turbidity values ​​of each layer can be statistically analyzed within a preset time period. The pH and turbidity change rates corresponding to the sediment layer, intermediate layer, and scum layer are calculated respectively, and all calculation results are compiled for the determination of the fermentation stage.

[0139] For example, the pH and turbidity data of three layers at the beginning and end of a preset time period can be stored, and the change rate of the corresponding parameter per unit time for each layer can be calculated.

[0140] For example, for large-scale industrial anaerobic fermenters, the preset time period is set to a fixed duration of 12 hours. The timer starts after fermentation begins, and the parameter change rate is calculated after 12 hours.

[0141] For example, for batch feeding fermentation, the preset time period is set as the interval between two adjacent parameter detections. After each detection is completed, the parameter change rate within the interval between the current detection and the previous detection is calculated.

[0142] For example, the pH change rate is equal to the pH value at the end of the preset time period minus the pH value at the beginning, divided by the duration of the preset time period, in pH units per hour, and the absolute value is taken to obtain the change rate value.

[0143] For example, the turbidity change rate is equal to (turbidity value at the end of the preset time period minus the turbidity value at the beginning) divided by the turbidity value at the beginning, and then divided by the duration of the preset time period, in percentages per hour, and the absolute value is taken to obtain the change rate value.

[0144] In this implementation, all judgment conditions are checked sequentially. When all conditions are met simultaneously, the current fermentation stage is determined to be a delay period. If any one condition is not met, the judgment is not triggered.

[0145] For example, you can first read the average dissolved oxygen value of the three layers and compare it with the 70% threshold, and then compare the pH value change rate and turbidity value change rate in turn. When all comparisons meet the requirements, the hysteresis period determination result is output.

[0146] S220. Obtain the hysteresis parameter amplitude corresponding to the hysteresis period. Determine the product of the hysteresis parameter amplitude and 0.5 as the first parameter amplitude, the product of the hysteresis parameter amplitude and 0.4 as the second parameter amplitude, the product of the hysteresis parameter amplitude and 0.3 as the third parameter amplitude, and the product of the hysteresis parameter amplitude and 0.2 as the fourth parameter amplitude.

[0147] In this implementation, the baseline adjustment range corresponding to the current lag period, i.e. the lag parameter range, can be read from the parameter storage area corresponding to the fermentation stage, and used to derive the parameter adjustment ranges at four different positions.

[0148] For example, the baseline adjustment range corresponding to different fermentation stages can be stored in the fermentation control system. When it is determined that the current period is a lag period, the corresponding lag parameter range can be directly read from the storage area to complete the parameter acquisition.

[0149] For example, the delay parameter amplitude is the reference adjustment amplitude of the stirring speed, in revolutions per minute, which is adapted to the speed-adjustable layered stirring structure and used to derive the speed adjustment amount for different layers.

[0150] In this implementation, the delay parameter amplitude and the corresponding proportional coefficient are multiplied according to the given proportional coefficient to calculate the first parameter amplitude, the second parameter amplitude, the third parameter amplitude and the fourth parameter amplitude in sequence, and then stored in the storage location of the corresponding adjustment parameter.

[0151] For example, take the delay parameter amplitudes in sequence and multiply them by 0.5, 0.4, 0.3, and 0.2 respectively, and store the four calculation results as the first parameter amplitude, the second parameter amplitude, the third parameter amplitude, and the fourth parameter amplitude respectively.

[0152] For example, if the hysteresis parameter amplitude is obtained as 40 r / min, the amplitude of the first parameter is calculated as 40 × 0.5 = 20 r / min, the amplitude of the second parameter is calculated as 40 × 0.4 = 16 r / min, the amplitude of the third parameter is calculated as 40 × 0.3 = 12 r / min, and the amplitude of the fourth parameter is calculated as 40 × 0.2 = 8 r / min. After the four parameters are calculated, they are stored and used respectively.

[0153] By using this method, the pH and turbidity change rates of the sediment layer, intermediate layer, and scum layer are statistically analyzed within a preset time period. The lag period is determined by combining the condition that the dissolved oxygen value of the three layers is greater than or equal to 70%. This method can accurately identify the initial stage of fermentation and adapt to the low activity characteristics of the strain.

[0154] This implementation method, after determining that the current fermentation stage is the lag period, obtains the lag parameter amplitude corresponding to the lag period. The product of the lag parameter amplitude and 0.5 is used as the first parameter amplitude, and the product of the lag parameter amplitude and 0.4 is used as the second parameter amplitude. The stirring adjustment amplitude of the sedimentation layer and the intermediate layer is reduced in a targeted manner to avoid excessive stirring and damage to the activity of the strains in the lag period. The product of the lag parameter amplitude and 0.3 is determined as the third parameter amplitude, and the product of the lag parameter amplitude and 0.2 is used as the fourth parameter amplitude. The stirring adjustment amplitude of the upper layer is reduced simultaneously to ensure the basic mixing effect and reduce the disturbance to the fermentation environment in the lag period, helping the strains to adapt to the environment smoothly and shortening the duration of the lag period.

[0155] Figure 10 A schematic flowchart of the sixth fermentation control method based on multi-parameter detection provided in the embodiments of this application is shown below. Figure 10 As shown, in some implementations, the above method also includes S230 to S240, which will be described in detail below.

[0156] S230. Obtain the rate of decrease in dissolved oxygen and the rate of change in turbidity of the sediment layer, intermediate layer, and scum layer within a preset time period. When the rate of decrease in dissolved oxygen of the sediment layer, intermediate layer, and scum layer is greater than or equal to 0.5 mg / L / h, the pH value continues to decrease, and the rate of change in turbidity is greater than or equal to 5% / h within the preset time period, the current fermentation stage is determined to be the logarithmic growth phase.

[0157] Figure 11 A schematic diagram of the workflow of the sixth fermentation control method based on multi-parameter detection provided in the embodiments of this application is shown below. Figure 11 As shown, in this implementation, the changes in dissolved oxygen and turbidity values ​​of the three layers can be statistically analyzed within a preset time period. The rate of decrease in dissolved oxygen and the rate of change in turbidity can be calculated, and the fermentation stage can be determined by combining the trend of pH value changes.

[0158] For example, dissolved oxygen, pH, and turbidity detection data in three layers can be stored at the beginning and end of a preset time period, and the corresponding change parameters can be calculated and processed for condition verification during the logarithmic growth period.

[0159] For example, the dissolved oxygen value decrease rate is equal to the average dissolved oxygen value of the three layers at the beginning of the preset time period, minus the average dissolved oxygen value of the three layers at the end of the preset time period, and then divided by the duration of the preset time period, in mg / L per hour, to directly obtain the decrease rate value.

[0160] For example, if it is necessary to determine the dissolved oxygen value separately for each stratum, the dissolved oxygen value at the beginning of a preset time period for a single stratum is subtracted from the dissolved oxygen value at the end of the preset time period, and then divided by the preset time period duration to obtain the corresponding stratum's decrease rate.

[0161] In this implementation, pH value data obtained from multiple consecutive measurements within a preset time period can be extracted, and the trend of value change can be judged according to the detection time sequence to confirm whether the requirement of continuous decrease is met.

[0162] For example, pH values ​​within a preset time period can be arranged in chronological order, and the pH values ​​of two adjacent measurements can be compared sequentially to determine whether the pH value of each measurement is lower than the pH value of the previous measurement.

[0163] For example, at least three pH values ​​are continuously measured within a preset time period. The measured values ​​are sorted by time. If the pH value of each subsequent measurement is lower than the pH value of the previous measurement, and the total decrease is greater than 0.02, then the condition of continuous pH decrease is met.

[0164] For example, if fluctuations in a single detection are allowed, if only one of the five consecutive detections within a preset time period shows a slight increase in pH value, while the remaining four show a decrease, and the overall trend is downward, it can also be determined that the condition of a continuous decrease in pH value is met.

[0165] In this implementation, all judgment conditions are checked sequentially. If all conditions are met simultaneously, the current fermentation stage is determined to be the logarithmic growth stage. If any condition is not met, the judgment is not triggered.

[0166] For example, you can first calculate the dissolved oxygen value decrease rate and compare it with the threshold, then judge the pH value change trend, and finally compare the turbidity value change rate. After all conditions are met, the result of the logarithmic growth phase is output.

[0167] S240. Obtain the logarithmic parameter amplitude corresponding to the logarithmic growth phase. Determine the product of the logarithmic parameter amplitude and 1.5 as the first parameter amplitude, the product of the logarithmic parameter amplitude and 1.8 as the second parameter amplitude, the product of the logarithmic parameter amplitude and 0.8 as the third parameter amplitude, and the product of the logarithmic parameter amplitude and 0.6 as the fourth parameter amplitude.

[0168] In this implementation, the baseline adjustment range corresponding to the current logarithmic growth phase, i.e., the logarithmic parameter range, can be read from the stage parameter storage area of ​​the fermentation control system. This range is then used to derive the parameter ranges for the four different stratified adjustment positions.

[0169] For example, the fermentation control system pre-stores the baseline adjustment range corresponding to different fermentation stages. After the logarithmic growth period is determined, the corresponding logarithmic parameter range in the storage area is directly called to complete the parameter acquisition.

[0170] For example, the logarithmic parameter amplitude is the baseline adjustment amplitude of the stirring speed, in revolutions per minute, adapted to a layered stirring structure with independently adjustable speed, and used to derive the speed adjustment increment for different layers.

[0171] For example, for a segmented periodic mixing structure, the logarithmic parameter amplitude is the baseline adjustment amplitude of the mixing operation ratio, in percentage, used to derive the increment of the mixing operation time ratio within different layered unit cycles.

[0172] In this implementation, the logarithmic parameter amplitude and the corresponding coefficient are multiplied according to the given scaling factor to calculate the amplitude of the first parameter, the amplitude of the second parameter, the amplitude of the third parameter and the amplitude of the fourth parameter in sequence, and stored in the storage location of the corresponding parameter for adjustment.

[0173] For example, take the logarithmic parameter magnitude and multiply it sequentially with 1.5, 1.8, 0.8, and 0.6, and store the four calculation results as the first parameter magnitude, the second parameter magnitude, the third parameter magnitude, and the fourth parameter magnitude, respectively.

[0174] For example, the obtained logarithmic parameter amplitude is 40 r / min. The amplitude of the first parameter is calculated as 40 × 1.5 = 60 r / min, the amplitude of the second parameter is calculated as 40 × 1.8 = 72 r / min, the amplitude of the third parameter is calculated as 40 × 0.8 = 32 r / min, and the amplitude of the fourth parameter is calculated as 40 × 0.6 = 24 r / min. After the calculation is completed, they are stored in the storage location of the corresponding adjustment parameter.

[0175] This implementation method statistically analyzes the rate of decrease in dissolved oxygen and the rate of change in turbidity in the sediment layer, intermediate layer, and scum layer within a preset time period. By combining the rate of decrease in dissolved oxygen, the trend of pH change, and the threshold conditions of the rate of change in turbidity, the logarithmic growth phase can be determined. This method can accurately identify the metabolically active stage of the strain and adapt to the high mixing requirements of that stage.

[0176] This implementation method, after determining that the current fermentation stage is the logarithmic growth phase, obtains the logarithmic parameter amplitude corresponding to the logarithmic growth phase. The product of the logarithmic parameter amplitude and 1.5 is used as the first parameter amplitude, and the product of the logarithmic parameter amplitude and 1.8 is used as the second parameter amplitude. The stirring adjustment amplitude of the sediment layer and the intermediate layer is increased in a targeted manner to quickly eliminate the bottom sediment and ensure sufficient supply of nutrients and dissolved oxygen. The product of the logarithmic parameter amplitude and 0.8 is determined as the third parameter amplitude, and the product of the logarithmic parameter amplitude and 0.6 is used as the fourth parameter amplitude. This adapts to the mixing requirements of the upper layer while avoiding excessive disturbance of the scum. It meets the mixing requirements of the high metabolism in the logarithmic phase, reduces unnecessary energy consumption, and improves the accumulation efficiency of fermentation products.

[0177] Figure 12 A schematic flowchart of the seventh fermentation control method based on multi-parameter detection provided in the embodiments of this application is shown below. Figure 12 As shown, in some implementations, the above method also includes S250 to S260, which will be described in detail below.

[0178] S250. Determine the rate of change of dissolved oxygen, pH, and turbidity in the sediment layer, intermediate layer, and scum layer within a preset time period. When the dissolved oxygen value of the sediment layer, intermediate layer, and scum layer is less than 50%, the rate of change of dissolved oxygen is less than 0.1 mg / L / h, the rate of increase of pH is greater than or equal to 0.01 mg / h, and the rate of change of turbidity is less than 5% / h within the preset time period, the current fermentation stage is determined to be the stable period.

[0179] Figure 13 A schematic diagram of the workflow of the seventh fermentation control method based on multi-parameter detection provided in the embodiments of this application is shown below. Figure 13As shown, in this implementation, the changes in dissolved oxygen, pH, and turbidity values ​​of the three layers—sediment layer, intermediate layer, and scum layer—can be statistically analyzed within a preset time period. The change rate per unit time for each parameter can be calculated and then processed for condition verification during the stable period.

[0180] For example, the detection data of three parameters in three layers at the beginning and end of a preset time period can be stored, the change rate of each parameter can be calculated, and the judgment conditions can be verified in turn after sorting.

[0181] For example, the pH increase rate is equal to the average pH value of the three layers at the end of the preset time period minus the average pH value of the three layers at the beginning, divided by the duration of the preset time period, in pH units per hour, and the positive value of the calculation result is taken to obtain the increase rate value.

[0182] For example, when determining a single stratum, the pH rise rate is the pH value at the end of the preset time period for the corresponding stratum minus the starting pH value, and then divided by the preset time period duration to obtain the pH rise rate for that stratum.

[0183] In this implementation, all judgment requirements are checked sequentially according to the condition order. When all conditions are met at the same time, the current fermentation stage is determined to be the stable period. If any condition is not met, the judgment ends and no stable period judgment result is output.

[0184] For example, first calculate the average dissolved oxygen value of the three layers and compare it with the 50% threshold. Then compare the rate of change of dissolved oxygen value, the rate of increase of pH value and the rate of change of turbidity value in turn. After all conditions are met, output the determination result of the stable period.

[0185] S260. Obtain the amplitude of the stable parameter corresponding to the stable period. Determine the amplitude of the stable parameter as the first parameter amplitude, determine the product of the stable parameter amplitude and 1.2 as the second parameter amplitude, determine the amplitude of the stable parameter as the third parameter amplitude, and determine the product of the stable parameter amplitude and 0.8 as the fourth parameter amplitude.

[0186] In this implementation, the baseline adjustment range corresponding to the current stable period, i.e. the stable parameter range, can be read from the stage parameter storage area of ​​the fermentation control system, and used to derive the parameter ranges at four different adjustment positions.

[0187] For example, the fermentation control system pre-configures corresponding baseline adjustment ranges for different fermentation stages. Once the stabilization period is determined, it directly calls the stabilization parameter range of the corresponding storage area to complete parameter acquisition.

[0188] For example, the stable parameter amplitude is the baseline adjustment amplitude of the stirring speed, in revolutions per minute, which is adapted to the layered stirring structure with independently adjustable speed and is used to derive the adjustment increment of different layered stirring speeds.

[0189] For example, for a layered structure with periodic mixing, the stability parameter amplitude is the baseline adjustment amplitude of the mixing operation ratio, expressed as a percentage, used to derive the increment of the mixing operation time ratio within a unit cycle of different layers.

[0190] In this implementation, the amplitudes of the stable parameters are processed according to the given calculation rules, and the amplitudes of the first, second, third and fourth parameters are obtained in sequence and stored in the storage location of the corresponding adjustment parameters.

[0191] For example, directly assign the stable parameter amplitude to the first parameter amplitude, then multiply the stable parameter amplitude by 1.2 to obtain the second parameter amplitude, directly assign the stable parameter amplitude to the third parameter amplitude, and finally multiply the stable parameter amplitude by 0.8 to obtain the fourth parameter amplitude.

[0192] For example, the obtained stable parameter amplitude is 40 r / min. The amplitude of the first parameter is directly equal to 40 r / min, the amplitude of the second parameter is calculated as 40 × 1.2 = 48 r / min, the amplitude of the third parameter is directly equal to 40 r / min, and the amplitude of the fourth parameter is calculated as 40 × 0.8 = 32 r / min. After the calculation is completed, they are stored in the corresponding parameter positions for adjustment.

[0193] By using this method, the rate of change of dissolved oxygen, pH and turbidity in the sediment layer, intermediate layer and scum layer within a preset time period is statistically analyzed. Combined with the corresponding threshold conditions, the stable period is determined, which can accurately identify the key stage of fermentation product accumulation and adapt to the characteristic that the activity of the strain tends to be stable in this stage.

[0194] This implementation method, after determining that the current fermentation stage is a stable period, obtains the stability parameter amplitude corresponding to the stable period. The stability parameter amplitude is used as the first parameter amplitude, and the product of the stability parameter amplitude and 1.2 is used as the second parameter amplitude to maintain a suitable stirring intensity in the middle and lower layers, ensure stable nutrient supply, and avoid sedimentation affecting product synthesis. The stability parameter amplitude is determined as the third parameter amplitude, and the product of the stability parameter amplitude and 0.8 is used as the fourth parameter amplitude. This reduces upper layer disturbance while avoiding scum accumulation, ensuring a uniform fermentation environment, reducing energy consumption, avoiding shear force affecting product activity, and improving the final product yield and quality.

[0195] Figure 14 A schematic flowchart of the eighth fermentation control method based on multi-parameter detection provided in the embodiments of this application is shown below. Figure 14 As shown, in some implementations, the above method also includes S310 to S320, which will be described in detail below.

[0196] S310. Obtain the dissolved oxygen difference weight, temperature difference weight, pH difference weight, and turbidity difference weight corresponding to the sediment layer and the intermediate layer. Obtain the dissolved oxygen difference coefficient, temperature difference coefficient, pH difference coefficient, and turbidity difference coefficient corresponding to the dissolved oxygen difference, temperature difference coefficient, pH difference coefficient, and turbidity difference coefficient.

[0197] In this implementation, the weights of four different parameter differences between the sediment layer and the intermediate layer can be read from the parameter storage area of ​​the fermentation control system. These weights correspond to dissolved oxygen difference weight, temperature difference weight, pH difference weight, and turbidity difference weight, respectively. Then, the correction coefficients corresponding to each parameter difference can be read, namely dissolved oxygen difference coefficient, temperature difference coefficient, pH difference coefficient, and turbidity difference coefficient.

[0198] For example, for adjacent layer combinations of sedimentary and intermediate layers, the weights and coefficients of four parameters are pre-stored. When it is necessary to calculate the overall adjustment range, the two types of parameters are directly read from the corresponding storage area to complete the parameter acquisition.

[0199] For example, in aerobic fermentation, the dissolved oxygen difference is the most crucial indicator reflecting the stratified mixing state, therefore its weight is set to the highest. The temperature difference between the sedimentary layer and the intermediate layer is relatively small, so its weight is set to the lowest, based on the degree to which different parameters reflect stratified mixing anomalies.

[0200] For example, in the anaerobic fermentation process, the pH difference reflects the stratification difference of the acid production state and has a greater impact on fermentation stability. Therefore, the pH difference weight is set to the highest, and the weight is set according to the degree of influence of the parameters in different fermentation types.

[0201] For example, the four types of coefficients are obtained in advance through a large number of orthogonal fermentation experiments and stored in the coefficient storage area of ​​the fermentation control system. They are directly read from the corresponding storage location. The coefficients are used to correct the influence of the difference between parameters of different dimensions on the overall adjustment range.

[0202] S110. Determine the sum of the following: the product of the dissolved oxygen difference and its weight, and the dissolved oxygen difference coefficient between the sedimentary layer and the intermediate layer; the product of the temperature difference and its weight, and the temperature difference coefficient; the product of the pH difference and its weight, and the pH difference coefficient; and the product of the turbidity difference and its weight, and the turbidity difference coefficient. This sum is used as the first interlayer difference coefficient between the sedimentary layer and the intermediate layer. When the first interlayer difference coefficient between the sedimentary layer and the intermediate layer is greater than or equal to a preset first interlayer difference coefficient, increase the amplitude of the first parameter for the sedimentary layer stirring parameter and increase the amplitude of the second parameter for the intermediate layer stirring parameter.

[0203] In this implementation, for each parameter, the product of the parameter difference, the corresponding weight, and the corresponding coefficient can be calculated separately. Then, the product results of the four parameters are added together, and the sum is the first interlayer difference coefficient between the deposition layer and the intermediate layer, which is used for subsequent adjustment and judgment.

[0204] For example, calculate the product of four items in sequence: dissolved oxygen, temperature, pH, and turbidity. Add up the four product results and store the sum as the first interlayer difference coefficient.

[0205] For example, the dissolved oxygen difference is 2 mg / L, the weight of the dissolved oxygen difference is 0.4, the coefficient of the dissolved oxygen difference is 1, and the product is 2 × 0.4 × 1 = 0.8. The temperature difference is 1℃, the weight is 0.1, the coefficient is 1, and the product is 0.1. The pH difference is 0.3, the weight is 0.2, the coefficient is 1, and the product is 0.06. The turbidity difference is 180 NTU, the weight is 0.3, the coefficient is 0.001, and the product is 0.054. The sum is 0.8 + 0.1 + 0.06 + 0.054 = 1.014, which is the first interlayer difference coefficient.

[0206] In this implementation, the calculated first interlayer difference coefficient can be compared with the preset first interlayer difference coefficient, and the result of the comparison can be used to determine whether stirring adjustment needs to be triggered.

[0207] For example, the value of the preset first inter-layer difference coefficient is read from the storage area, and the calculated first inter-layer difference coefficient is compared with the value. If the calculated value is greater than or equal to the preset value, the adjustment is triggered; otherwise, the adjustment is not triggered.

[0208] In this implementation, once the adjustment conditions are met, the first parameter amplitude and the second parameter amplitude are called respectively to increase the stirring parameters of the sediment layer and the intermediate layer, while keeping the stirring parameters of the scum layer unchanged.

[0209] For example, the current sedimentation layer stirring parameters are read, and the adjusted sedimentation layer stirring parameters are obtained by adding the first parameter amplitude. The parameters of the sedimentation layer stirring drive mechanism are then updated, and the intermediate layer stirring parameters are adjusted in the same way.

[0210] For example, the adjustment operation is only performed when the difference coefficient between the first layer meets the condition of being greater than or equal to the preset value. If only a single parameter difference exceeds the threshold but the overall coefficient does not meet the requirements, the adjustment is not triggered to reduce false triggering. During adjustment, only the stirring parameters of the sediment layer and the intermediate layer are increased, while the stirring parameters of the scum layer remain unchanged to avoid unnecessary energy consumption.

[0211] This implementation method obtains the dissolved oxygen difference weight, temperature difference weight, pH difference weight, and turbidity difference weight corresponding to the sedimentary layer and the intermediate layer, as well as the difference coefficient corresponding to each parameter. The first interlayer difference coefficient is obtained by summing the product of the difference of each parameter and the corresponding weight and coefficient, so as to realize the quantitative and comprehensive evaluation of the interlayer difference and avoid the one-sidedness of the judgment of a single parameter.

[0212] This implementation compares the first interlayer difference coefficient with a preset first interlayer difference coefficient. The corresponding stirring parameters are only adjusted when the first interlayer difference coefficient is greater than or equal to the preset first interlayer difference coefficient. This improves the accuracy of the stratification of the sedimentary layer and the intermediate layer and reduces the occurrence of accidental stirring adjustments. The adjustment is triggered based on the comprehensive quantification of the first interlayer difference coefficient. This ensures the mixing effect of the middle and lower layers while avoiding unnecessary stirring energy consumption and reducing the disturbance of the fermentation environment caused by frequent stirring, thereby further improving the stability of the fermentation process.

[0213] Figure 15 A schematic flowchart of the ninth fermentation control method based on multi-parameter detection provided in the embodiments of this application is shown below. Figure 15 As shown, in some implementations, the above method also includes S330 to S340, which will be described in detail below.

[0214] S330. Obtain the dissolved oxygen difference weight, temperature difference weight, pH difference weight, and turbidity difference weight corresponding to the intermediate layer and the scum layer. Obtain the dissolved oxygen difference coefficient, temperature difference coefficient, pH difference coefficient, and turbidity difference coefficient corresponding to the dissolved oxygen difference, temperature difference coefficient, pH difference coefficient, and turbidity difference coefficient.

[0215] In this implementation, the weights of four different parameter differences between the intermediate layer and the scum layer can be read from the parameter storage area of ​​the fermentation control system. These weights correspond to the weights of dissolved oxygen difference, temperature difference, pH difference, and turbidity difference, respectively. Then, the correction coefficients corresponding to each parameter difference of the adjacent layers can be read, which are the coefficients of dissolved oxygen difference, temperature difference, pH difference, and turbidity difference, respectively.

[0216] For example, for adjacent layer combinations of intermediate layer and scum layer, the weights and coefficients of four parameters adapted to the combination are pre-stored. When it is necessary to calculate the overall inter-layer differences, the two types of parameters are directly read from the corresponding storage area to complete the parameter acquisition.

[0217] For example, during aerobic fermentation, the scum layer hinders the transfer of dissolved oxygen to the intermediate layer. The turbidity difference directly reflects the degree of scum accumulation, so the weight of the turbidity difference is set to the highest. The temperature difference has small natural fluctuations in the intermediate layer and the scum layer, so the weight is set to the lowest. The weight is set according to the degree of response of the parameters to interlayer anomalies.

[0218] For example, in the process of anaerobic fermentation for methanogenesis, the acidity of the scum layer is much higher than that of the middle layer. The pH difference directly reflects the abnormal accumulation of scum. Therefore, the pH difference weight is set to the highest, and the weight is set according to the degree of influence of parameters in different fermentation types.

[0219] For example, the four types of coefficients are obtained in advance through a large number of orthogonal fermentation experiments, adapted to the parameter distribution range of the intermediate layer and the scum layer, and stored in the coefficient storage area of ​​the fermentation control system. They are directly read from the corresponding storage location and used to correct the influence of parameters with different dimensions.

[0220] For example, for different types of fermentation raw materials, the values ​​of the four types of coefficients can be modified through the host computer software. The modified values ​​are stored locally on the fermentation controller and can be directly read and retrieved when needed.

[0221] S340. Determine the sum of the following: the product of the dissolved oxygen difference and its weight, and the dissolved oxygen difference coefficient between the intermediate layer and the scum layer; the product of the temperature difference and its weight, and the temperature difference coefficient; the product of the pH difference and its weight, and the pH difference coefficient; and the product of the turbidity difference and its weight, and the turbidity difference coefficient. This sum is used as the second interlayer difference coefficient between the intermediate layer and the scum layer. When the second interlayer difference coefficient between the intermediate layer and the scum layer is greater than or equal to the preset second interlayer difference coefficient, increase the amplitude of the third parameter for the intermediate layer's stirring parameters and increase the amplitude of the fourth parameter for the scum layer's stirring parameters. The amplitude of the second parameter is greater than the amplitude of the third parameter.

[0222] In this implementation, for each parameter of the intermediate layer and the scum layer, the product of the parameter difference, the corresponding weight, and the corresponding coefficient can be calculated separately. Then, the product results of the four parameters are added together, and the sum is the second inter-layer difference coefficient between the intermediate layer and the scum layer, which is used for subsequent adjustment and judgment. At the same time, the value of the second parameter amplitude is kept greater than the value of the third parameter amplitude.

[0223] For example, calculate the product of the four items: dissolved oxygen, temperature, pH, and turbidity in sequence, sum the four product results, store the sum as the second interlayer difference coefficient, and confirm that the setting rule that the amplitude of the second parameter is greater than the amplitude of the third parameter remains unchanged.

[0224] For example, the dissolved oxygen difference is 1.5 mg / L, with a weight of 0.2 and a coefficient of 1, resulting in a product of 1.5 × 0.2 × 1 = 0.3. The temperature difference is 1.2℃, with a weight of 0.1 and a coefficient of 1, resulting in a product of 0.12. The pH difference is 0.4, with a weight of 0.3 and a coefficient of 1, resulting in a product of 0.12. The turbidity difference is 150 NTU, with a weight of 0.4 and a coefficient of 0.002, resulting in a product of 0.12. The total is 0.3 + 0.12 + 0.12 + 0.12 = 0.66, which is the second interlayer difference coefficient.

[0225] In this implementation, the calculated second interlayer difference coefficient can be compared with the preset second interlayer difference coefficient, and the result of the comparison can be used to determine whether stirring adjustment needs to be triggered.

[0226] For example, the value of the preset second-level inter-layer difference coefficient is read from the storage area, and the calculated second-level inter-layer difference coefficient is compared with the value. If the calculated value is greater than or equal to the preset value, the adjustment is triggered; otherwise, the adjustment is not triggered.

[0227] In this implementation, once the adjustment conditions are met, the third parameter amplitude and the fourth parameter amplitude are called respectively to increase the stirring parameters of the intermediate layer and the scum layer, while keeping the stirring parameters of the sediment layer unchanged.

[0228] For example, read the current intermediate layer stirring parameters, add the third parameter amplitude to obtain the adjusted intermediate layer stirring parameters, update the parameters of the intermediate layer stirring drive mechanism, and then complete the adjustment of the scum layer stirring parameters in the same way.

[0229] For example, the adjustment operation is only performed when the difference coefficient between the second layer meets the condition of being greater than or equal to the preset value. If only a single parameter difference exceeds the threshold but the overall coefficient does not meet the requirements, the adjustment is not triggered, reducing the probability of false triggering. During adjustment, only the stirring parameters of the intermediate layer and the scum layer are increased, while the stirring parameters of the sediment layer remain unchanged, reducing unnecessary energy consumption.

[0230] For example, the second parameter amplitude is the increase in the stirring parameter of the intermediate layer when the sediment layer and the intermediate layer are abnormal. The sediment layer is a high-density solid material, requiring a larger stirring increase to suspend the solids and reduce the interlayer differences. The third parameter amplitude is the increase in the stirring parameter of the intermediate layer when the intermediate layer and the scum layer are abnormal. Both the intermediate layer and the scum layer are low-density materials, and a large increase is not required to reduce the interlayer differences. Therefore, the second parameter amplitude is set to be greater than the third parameter amplitude.

[0231] For example, under the same fermentation stage, the amplitude of the second parameter is 16 r / min and the amplitude of the third parameter is 12 r / min, which satisfies the requirement that the amplitude of the second parameter is greater than that of the third parameter, and adapts to the mixing and adjustment needs of different adjacent layers.

[0232] This implementation method first obtains the dissolved oxygen difference weight, temperature difference weight, pH difference weight, and turbidity difference weight corresponding to the middle layer and the scum layer, as well as the difference coefficients corresponding to each parameter. The product of each parameter difference and its corresponding weight and coefficient is summed to obtain the second interlayer difference coefficient, thereby realizing a comprehensive quantitative assessment of the differences between the upper and middle layers and adapting to the characteristics of the fermentation state of the upper layer.

[0233] By comparing the second interlayer difference coefficient with the preset second interlayer difference coefficient, the corresponding stirring parameters are adjusted only when the second interlayer difference coefficient is greater than or equal to the preset second interlayer difference coefficient, which improves the accuracy of the stratification determination of the middle layer and the scum layer and reduces the possibility of incorrect adjustment of the upper layer.

[0234] With this implementation, the amplitude of the second parameter is greater than that of the third parameter during adjustment. This not only eliminates the scum stratification in a targeted manner but also avoids excessive disturbance to the middle fermentation environment. This ensures the overall mixing effect inside the tank, reduces stirring energy consumption, and minimizes unnecessary interference with the fermentation process.

[0235] This application also provides an organic fertilizer fermentation storage tank based on multi-parameter detection, including a unit for implementing the method described above.

[0236] Figure 16 A schematic diagram of the logical structure of an organic fertilizer fermentation storage tank based on multi-parameter detection is provided for an embodiment of this application, as shown below. Figure 16 As shown, the organic fertilizer fermentation storage tank 1 of this embodiment includes a processing unit 11, a storage unit 12, and a transceiver unit 13. The processing unit 11 is used to process data, the storage unit 12 is used to store data, and the transceiver unit 13 is used to transmit and receive data. The processing unit 11, the storage unit 12, and the transceiver unit 13 cooperate with each other to implement the above-described method. The beneficial effects of this embodiment have been described in the above-described method and will not be repeated here.

[0237] It should be noted that the information interaction and execution process between the above-mentioned devices / units are based on the same concept as the method embodiments of this application. For details on their specific functions and technical effects, please refer to the method embodiments section, and they will not be repeated here.

[0238] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the above-described division of functional units and modules is merely an example. In practical applications, the above functions can be assigned to different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above. The functional units and modules in the embodiments can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit. Furthermore, the specific names of the functional units and modules are only for easy differentiation and are not intended to limit the scope of protection of this application. The specific working process of the units and modules in the above system can be referred to the corresponding process in the foregoing method embodiments, and will not be repeated here.

[0239] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, all or part of the processes in the methods of the above embodiments of this application can be implemented by a computer program instructing related hardware. The computer program can be stored in a computer-readable storage medium, and when executed by a processor, it can implement the steps of the various method embodiments described above. The computer program includes computer program code, which can be in the form of source code, object code, executable files, or certain intermediate forms. The computer-readable medium can include at least: any entity or device capable of carrying computer program code to a photographing device / terminal device, a recording medium, a computer memory, a read-only memory (ROM), a random access memory (RAM), an electrical carrier signal, a telecommunication signal, and a software distribution medium. Examples include USB flash drives, portable hard drives, magnetic disks, or optical disks. In some jurisdictions, according to legislation and patent practice, computer-readable media cannot be electrical carrier signals or telecommunication signals.

[0240] In the above embodiments, the descriptions of each embodiment have different focuses. For parts that are not described in detail or recorded in a certain embodiment, please refer to the relevant descriptions of other embodiments.

[0241] Those skilled in the art will recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0242] In the embodiments provided in this application, it should be understood that the disclosed apparatus and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative. For instance, the division of modules or units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection between apparatuses or units may be electrical, mechanical, or other forms.

[0243] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0244] The above-described embodiments are only used to illustrate the technical solutions of this application, and are not intended to limit them. Although this application 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 of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of this application, and should all be included within the protection scope of this application.

Claims

1. A fermentation control method based on multi-parameter detection, characterized in that, The method includes: The system acquires the dissolved oxygen, temperature, pH, and turbidity values ​​of the regions corresponding to the sediment layer, intermediate layer, and scum layer from bottom to top in the fermenter; it acquires the dissolved oxygen difference threshold, temperature difference threshold, pH difference threshold, and turbidity difference threshold for adjacent layers of the sediment layer, intermediate layer, and scum layer; and it acquires the current stirring parameters of the fermenter, including the stirring speed. Determine the dissolved oxygen, temperature, pH, and turbidity differences between adjacent layers of the sediment layer, intermediate layer, and scum layer, respectively. When the dissolved oxygen, temperature, pH, and turbidity differences between adjacent layers of the sediment layer, intermediate layer, and scum layer are greater than or equal to the dissolved oxygen difference threshold, the temperature difference threshold, the pH difference threshold, or the turbidity difference threshold, increase the current stirring parameters of the fermenter.

2. The method according to claim 1, characterized in that, Obtain the current stirring parameters of the fermenter, including: Obtain the sedimentation stirring parameters of the sedimentation layer, the intermediate layer stirring parameters of the intermediate layer, and the scum layer stirring parameters of the fermenter; When the dissolved oxygen value of adjacent layers between the sediment layer, intermediate layer, and scum layer is greater than or equal to the dissolved oxygen difference threshold, the temperature difference is greater than or equal to the temperature difference threshold, the pH difference is greater than or equal to the pH difference threshold, or the turbidity difference is greater than or equal to the turbidity difference threshold, increase the current stirring parameters of the fermenter, including: When the dissolved oxygen value between the sedimentary layer and the intermediate layer is greater than or equal to the dissolved oxygen difference threshold, the temperature difference is greater than or equal to the temperature difference threshold, the pH difference is greater than or equal to the pH difference threshold, or the turbidity difference is greater than or equal to the turbidity difference threshold, the stirring parameter of the sedimentary layer is increased by the magnitude of the first parameter, and the stirring parameter of the intermediate layer is increased by the magnitude of the second parameter. When the dissolved oxygen value between the intermediate layer and the scum layer is greater than or equal to the dissolved oxygen difference threshold, the temperature difference is greater than or equal to the temperature difference threshold, the pH difference is greater than or equal to the pH difference threshold, or the turbidity difference is greater than or equal to the turbidity difference threshold, the stirring parameters of the intermediate layer are increased by the magnitude of the third parameter, and the stirring parameters of the scum layer are increased by the magnitude of the fourth parameter; wherein, the magnitude of the second parameter is greater than the magnitude of the third parameter.

3. The method according to claim 2, characterized in that, Obtain the turbidity difference thresholds for adjacent layers of the sedimentary layer, intermediate layer, and scum layer, including: Obtain the initial value of turbidity difference, the current substrate breakage degree of the fermenter, and the cumulative feed amount; Based on the current substrate fragmentation and cumulative feed amount, determine the first turbidity adjustment coefficient; determine the product of the initial turbidity difference and the first turbidity adjustment coefficient as the turbidity difference threshold corresponding to the sedimentary layer and the intermediate layer.

4. The method according to claim 3, characterized in that, Obtaining the turbidity difference thresholds for adjacent layers of the sedimentary layer, intermediate layer, and scum layer, further includes: Obtain the height of the middle layer and the fermentation duration in the fermenter; Based on the height of the intermediate layer and the fermentation duration, a second turbidity adjustment coefficient is determined; the product of the turbidity difference threshold between the sediment layer and the intermediate layer and the second turbidity adjustment coefficient is determined as the turbidity difference threshold between the intermediate layer and the scum layer.

5. The method according to claim 4, characterized in that, The method further includes: Determine the pH and turbidity change rates of the sediment layer, intermediate layer, and scum layer within a preset time period; when the dissolved oxygen value of the sediment layer, intermediate layer, and scum layer is greater than or equal to 70%, the pH change rate is less than 0.05 / h, and the turbidity change rate is less than 5% / h within the preset time period, the current fermentation stage is determined to be the lag phase; Obtain the hysteresis parameter amplitude corresponding to the hysteresis period; determine the product of the hysteresis parameter amplitude and 0.5 as the first parameter amplitude, determine the product of the hysteresis parameter amplitude and 0.4 as the second parameter amplitude, determine the product of the hysteresis parameter amplitude and 0.3 as the third parameter amplitude, and determine the product of the hysteresis parameter amplitude and 0.2 as the fourth parameter amplitude.

6. The method according to claim 5, characterized in that, The method further includes: The rate of decrease in dissolved oxygen and the rate of change in turbidity of the sediment layer, intermediate layer and scum layer within a preset time period are obtained. When the rate of decrease in dissolved oxygen of the sediment layer, intermediate layer and scum layer is greater than or equal to 0.5 mg / L / h, the pH value continues to decrease, and the rate of change in turbidity is greater than or equal to 5% / h within the preset time period, the current fermentation stage is determined to be the logarithmic growth phase. Obtain the logarithmic parameter amplitude corresponding to the logarithmic growth phase; determine the product of the logarithmic parameter amplitude and 1.5 as the first parameter amplitude, determine the product of the logarithmic parameter amplitude and 1.8 as the second parameter amplitude, determine the product of the logarithmic parameter amplitude and 0.8 as the third parameter amplitude, and determine the product of the logarithmic parameter amplitude and 0.6 as the fourth parameter amplitude.

7. The method according to claim 6, characterized in that, The method further includes: Determine the rate of change of dissolved oxygen, pH, and turbidity in the sediment layer, intermediate layer, and scum layer within a preset time period; when the dissolved oxygen value of the sediment layer, intermediate layer, and scum layer is less than 50%, the rate of change of dissolved oxygen value is less than 0.1 mg / L / h, the rate of increase of pH value is greater than or equal to 0.01 mg / h, and the rate of change of turbidity value is less than 5% / h within the preset time period, the current fermentation stage is determined to be the stable period; Obtain the amplitude of the stable parameter corresponding to the stable period; determine the amplitude of the stable parameter as the first parameter amplitude, determine the product of the stable parameter amplitude and 1.2 as the second parameter amplitude, determine the amplitude of the stable parameter as the third parameter amplitude, and determine the product of the stable parameter amplitude and 0.8 as the fourth parameter amplitude.

8. The method according to claim 7, characterized in that, The method further includes: Obtain the dissolved oxygen difference weight, temperature difference weight, pH difference weight, and turbidity difference weight corresponding to the sediment layer and the intermediate layer; obtain the dissolved oxygen difference coefficient, temperature difference coefficient, pH difference coefficient, and turbidity difference coefficient corresponding to the dissolved oxygen difference, temperature difference coefficient, pH difference coefficient, and turbidity difference coefficient. The sum of the following factors is determined: the product of dissolved oxygen difference and dissolved oxygen difference weight, dissolved oxygen difference coefficient, temperature difference and temperature difference weight, temperature difference coefficient, pH difference and pH difference weight, pH difference coefficient, turbidity difference and turbidity difference weight, and turbidity difference coefficient. This sum is used as the first interlayer difference coefficient between the sedimentary layer and the intermediate layer. When the first interlayer difference coefficient between the sedimentary layer and the intermediate layer is greater than or equal to the preset first interlayer difference coefficient, the stirring parameter of the sedimentary layer is increased by the first parameter amplitude, and the stirring parameter of the intermediate layer is increased by the second parameter amplitude.

9. The method according to claim 8, characterized in that, The method further includes: Obtain the dissolved oxygen difference weight, temperature difference weight, pH difference weight, and turbidity difference weight corresponding to the intermediate layer and the scum layer; obtain the dissolved oxygen difference coefficient, temperature difference coefficient, pH difference coefficient, and turbidity difference coefficient corresponding to the dissolved oxygen difference, temperature difference coefficient, pH difference coefficient, and turbidity difference coefficient. The product of the dissolved oxygen difference and its weight, the dissolved oxygen difference coefficient, the temperature difference and its weight, the pH difference and its weight, the pH difference coefficient, and the turbidity difference and its weight, is determined as the second interlayer difference coefficient between the intermediate layer and the scum layer. When the second interlayer difference coefficient between the intermediate layer and the scum layer is greater than or equal to the preset second interlayer difference coefficient, the stirring parameters of the intermediate layer are increased by the magnitude of the third parameter, and the stirring parameters of the scum layer are increased by the magnitude of the fourth parameter; wherein, the magnitude of the second parameter is greater than the magnitude of the third parameter.

10. An organic fertilizer fermentation storage tank based on multi-parameter detection, characterized in that, Includes units for implementing the method of any one of claims 1 to 9.

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