Intelligent aeration control system for organic fertilizer fermentation using nanomolecular membrane

Abstract

The present invention relates to the technical field of control systems, and more specifically to an intelligent aeration control system for organic fertilizer fermentation using nanomolecular membranes. The system comprises a data acquisition module, a delay analysis module, a gas analysis module, and a controller adjustment module. The delay analysis module is used to determine the response delay of the aeration control system based on temperature changes, the adjustment hysteresis of the aeration control system, and the activity of microorganisms; the gas analysis module is used to determine the comprehensive gas exchange rate of the fermentation pile based on humidity changes, carbon dioxide concentration, and ammonia concentration in the fermentation pile; and the controller adjustment module is used to determine a correction coefficient for the aeration control system. The proportional gain corrected by the correction coefficient is used as the proportional gain of a PID controller in the aeration control system. The present invention effectively improves the response speed and control accuracy of the aeration control system.

Description

Technical Field

[0001] The invention relates to the technical field of control systems, and in particular to an organic fertilizer fermentation intelligent aeration control system using a nanomolecular membrane. Background Art

[0002] Organic fertilizer fermentation is the process of converting organic waste, such as poultry manure, livestock manure, and crop residues, into organic fertilizer through the metabolic activity of microorganisms. This process effectively reduces environmental pollution from manure and other organic waste while converting them into highly effective organic matter. Aerobic fermentation is a common and highly effective method for producing organic fertilizers. This process relies on microbial activity and requires an adequate oxygen supply within the reactor. Therefore, a proper aeration control system is crucial during aerobic fermentation.

[0003] Currently, in the organic fertilizer fermentation process, it is common to directly adjust the oxygen concentration by using the PID controller in the aeration control system. However, it only considers monitoring the oxygen content and oxygen supply in the fermentation chamber, and controls the organic fertilizer fermentation process through oxygen content, temperature and humidity data. It does not consider the data lag caused by the inconsistency of the monitoring period and the adjustment period during the fermentation process, and the impact of different gas exchange efficiencies on the fermentation environment. This will affect the control accuracy of the aeration control system, resulting in an insufficient response speed to the actual fermentation process, which can easily cause unstable fermentation effects. Summary of the Invention

[0004] In order to solve the technical problem of low control accuracy of the aeration control system, the purpose of the present invention is to provide an organic fertilizer fermentation intelligent aeration control system using a nanomolecular membrane. The technical solutions adopted are as follows:

[0005] In a first aspect, an embodiment of the present invention provides an intelligent aeration control system for organic fertilizer fermentation using a nanomolecular membrane, the system comprising the following modules:

[0006] A data acquisition module is used to obtain the oxygen concentration, carbon dioxide concentration, ammonia concentration, temperature and humidity in the organic fertilizer fermentation room;

[0007] a delay analysis module for determining the microbial activity during the fermentation process based on the correlation between oxygen concentration and temperature; and determining the response delay of the aeration control system based on the temperature change, the adjustment hysteresis of the aeration control system, and the microbial activity;

[0008] A gas analysis module is used to determine the comprehensive gas exchange rate of the fermentation pile based on the humidity changes, carbon dioxide concentration and ammonia concentration of the fermentation pile;

[0009] The controller adjustment module is used to obtain a correction coefficient of the aeration control system according to the response delay and the comprehensive gas exchange rate; correct the proportional gain according to the correction coefficient, and use the corrected proportional gain as the proportional gain of the PID controller in the aeration control system.

[0010] Furthermore, the determination of microbial activity during the fermentation process based on the correlation between oxygen concentration and temperature includes:

[0011] The oxygen concentration in the monitoring period forms an oxygen monitoring curve, and the temperature in the monitoring period forms a temperature monitoring curve;

[0012] Determine the overall change mean of the oxygen concentration at adjacent moments of the oxygen monitoring curve and the overall change mean of the temperature at adjacent moments of the temperature monitoring curve;

[0013] The difference between the mean of the overall changes in temperature and oxygen concentration is taken as the activity consumption;

[0014] The average temperature during the monitoring period is calculated; and the product of the activity consumption and the average temperature is used as the microbial activity during the fermentation process.

[0015] Furthermore, the step of determining the response delay of the aeration control system by combining the temperature change, the adjustment hysteresis of the aeration control system, and the microbial activity includes:

[0016] Obtain the extreme points in the temperature monitoring curve composed of temperatures, calculate the average value of the absolute values of the differences between all adjacent extreme points, and record it as the mean temperature extreme difference;

[0017] The time point when the oxygen concentration is most recently lower than the preset oxygen concentration threshold during the monitoring period is recorded as the first marking moment;

[0018] The most recent aeration adjustment time point after the first marking time is recorded as a second marking time; the difference between the second marking time and the first marking time is used as the adjustment hysteresis of the aeration control system;

[0019] The response delay of the aeration control system is determined according to the temperature extreme difference mean, the adjustment hysteresis and the microbial activity.

[0020] Furthermore, determining the response delay of the aeration control system according to the temperature extreme difference mean, the adjustment hysteresis, and the microbial activity includes:

[0021] The product of the temperature extreme difference mean, the adjustment hysteresis and the microbial activity is used as the response delay of the aeration control system.

[0022] Furthermore, the determination of the comprehensive gas exchange rate of the fermentation pile according to the humidity change, carbon dioxide concentration and ammonia concentration of the fermentation pile includes:

[0023] The first gas exchange rate of the fermentation pile is determined according to the humidity change of the fermentation pile; the second gas exchange rate of the fermentation pile is determined according to the carbon dioxide concentration and the ammonia concentration; and the comprehensive gas exchange rate of the fermentation pile is determined by combining the first gas exchange rate and the second gas exchange rate.

[0024] Furthermore, determining the first gas exchange rate of the fermentation pile according to the humidity change of the fermentation pile includes:

[0025] Obtain the maximum point in the humidity monitoring curve composed of humidity, calculate the average of the absolute values of the differences between all adjacent maximum points, and record it as the humidity fluctuation impact value; and use the negative correlation mapping value of the humidity fluctuation impact value as the first gas exchange rate.

[0026] Furthermore, determining the second gas exchange rate of the fermentation pile according to the carbon dioxide concentration and the ammonia concentration includes:

[0027] Calculate the average value of carbon dioxide concentration and the average value of ammonia concentration during the monitoring period respectively;

[0028] A negative correlation mapping is performed on the sum of the average value of the carbon dioxide concentration and the average value of the ammonia concentration, and the result of the negative correlation mapping is used as the second gas exchange rate of the fermentation pile.

[0029] Furthermore, the combining of the first gas exchange rate and the second gas exchange rate to determine the comprehensive gas exchange rate of the fermentation pile includes:

[0030] The sum of the first gas exchange rate and the second gas exchange rate is taken as the comprehensive gas exchange rate of the fermentation pile.

[0031] Furthermore, obtaining a correction coefficient of the aeration control system according to the response delay and the comprehensive gas exchange rate includes:

[0032] The difference between the normalized post-response delay and the comprehensive gas exchange rate is calculated as the initial correction coefficient. The initial correction coefficient and the control error are summed to obtain the resulting value as the correction coefficient of the aeration control system; wherein the control error represents the fluctuation of the pH value of the fermentation pile.

[0033] Furthermore, the correcting the proportional gain according to the correction coefficient includes:

[0034] The correction coefficient and the proportional gain are multiplied to obtain a corrected proportional gain.

[0035] In a second aspect, a method for intelligent aeration control of organic fertilizer fermentation using a nanomolecular membrane is provided, the method comprising the following steps:

[0036] Obtain the oxygen concentration, carbon dioxide concentration, ammonia concentration, temperature and humidity in the organic fertilizer fermentation room;

[0037] Determine the microbial activity during the fermentation process based on the correlation between oxygen concentration and temperature; determine the response delay of the aeration control system based on temperature changes, the adjustment hysteresis of the aeration control system, and the microbial activity;

[0038] Determine the comprehensive gas exchange rate of the fermentation pile based on the humidity changes, carbon dioxide concentration and ammonia concentration of the fermentation pile;

[0039] A correction coefficient of the aeration control system is obtained according to the response delay and the comprehensive gas exchange rate; the proportional gain is corrected according to the correction coefficient, and the corrected proportional gain is used as the proportional gain of the PID controller in the aeration control system.

[0040] In a third aspect, an embodiment of the present invention provides an electronic device, comprising a memory and a processor, wherein the memory stores executable code, and when the processor executes the executable code, it implements the various possible implementations of the first aspect.

[0041] In a fourth aspect, an embodiment of the present invention provides a computer program product, which includes: computer program code, which, when running on a computer, enables the computer to execute the method in the above-mentioned first aspect or any possible implementation of the first aspect.

[0042] In a fifth aspect, an embodiment of the present invention provides a computer-readable storage medium having a computer program stored thereon. When the computer program is executed in a computer, the computer is caused to execute various possible implementations of the first aspect.

[0043] The embodiments of the present invention have at least the following beneficial effects:

[0044] The present invention relates to the technical field of control systems. The system first determines the microbial activity during the fermentation process by analyzing the correlation between oxygen concentration and temperature. The system takes into account that the higher the temperature during the fermentation process, the faster the current reaction is. The system also takes into account the oxygen consumption during microbial activity to determine the microbial activity and realize dynamic monitoring of microbial activity. The response delay of the aeration control system is determined by combining the adjustment hysteresis of the adjustment time, the microbial activity and the temperature change. The environmental humidity change and the exchange efficiency of different gas components during the fermentation process are then analyzed to obtain the comprehensive gas exchange rate, and the comprehensive gas exchange rate characterizes the response requirement of the aeration control system. Finally, the control requirement of the proportional gain of the aeration control system is obtained based on the response delay and the comprehensive gas exchange rate, which effectively improves the response speed of the aeration control system, reduces the control error, improves the control accuracy of the aeration control system, optimizes the fermentation process, and ultimately achieves a more efficient and stable organic fertilizer production process. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] In order to more clearly illustrate the technical solutions and advantages of the embodiments of the present invention or the prior art, the following briefly introduces the drawings required for use in the embodiments or the prior art descriptions. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0046] Figure 1 A system block diagram of an intelligent aeration control system for organic fertilizer fermentation using nanomolecular membranes provided by one embodiment of the present invention;

[0047] Figure 2 A schematic diagram of submodules of a gas analysis module provided in one embodiment of the present invention.

[0048] Figure 3 A schematic diagram of the composition of an aerobic composting membrane fermentation system provided by one embodiment of the present invention;

[0049] Figure 4 A flow chart of a method for intelligent aeration control of organic fertilizer fermentation using nanomolecular membranes provided by one embodiment of the present invention;

[0050] Figure 5 A schematic structural diagram of a computer device provided by one embodiment of the present invention. DETAILED DESCRIPTION

[0051] In order to further illustrate the technical means and effects adopted by the present invention to achieve the predetermined purpose of the invention, the following, in conjunction with the accompanying drawings and preferred embodiments, describes in detail the specific implementation method, structure, characteristics and effects of the organic fertilizer fermentation intelligent aeration control system using nanomolecular membranes proposed by the present invention.

[0052] In the following description, different references to "one embodiment" or "another embodiment" do not necessarily refer to the same embodiment. Furthermore, the particular features, structures, or characteristics of one or more embodiments may be combined in any suitable manner.

[0053] In the description of the embodiments of the present invention, unless otherwise specified, " / " means or, for example, A / B can mean A or B: "and / or" in the text is only a description of the association relationship of associated objects, indicating that there can be three relationships, for example, A and / or B can mean: A exists alone, A and B exist at the same time, and B exists alone. In addition, in the description of the embodiments of the present invention, "multiple" refers to two or more than two.

[0054] In the following, the terms "first" and "second" are used for descriptive purposes only and should not be understood to imply or suggest relative importance or implicitly indicate the number of technical features indicated. Therefore, a feature defined as "first" or "second" may explicitly or implicitly include one or more of the features.

[0055] Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.

[0056] The embodiments of the present invention are described below with reference to the accompanying drawings. Those skilled in the art will appreciate that, with the development of technology and the emergence of new scenarios, the technical solutions provided by the embodiments of the present invention are also applicable to similar technical problems.

[0057] The specific scheme of the organic fertilizer fermentation intelligent aeration control system using nanomolecular membrane provided by the present invention is described in detail below with reference to the accompanying drawings.

[0058] See also Figure 1 , which shows a system block diagram of an organic fertilizer fermentation intelligent aeration control system using nanomolecular membranes provided by one embodiment of the present invention. The system includes the following modules:

[0059] The data acquisition module 10 is used to obtain the oxygen concentration, carbon dioxide concentration, ammonia concentration, temperature and humidity in the organic fertilizer fermentation chamber.

[0060] In the intelligent aeration control system for organic fertilizer fermentation using nanomolecular membranes, monitoring key environmental and process parameters is crucial for achieving precise aeration control. The data that need to be monitored include temperature, humidity, oxygen concentration, carbon dioxide concentration and other gas concentrations.

[0061] Suitable sensors are installed in different positions of the fermentation pile or reactor to monitor environment and process parameters in real time. As in an embodiment of the present invention, temperature sensors and humidity sensors are installed near the fermentation pile in the organic fertilizer fermentation chamber to collect temperature and humidity.

[0062] The monitored environmental parameters are converted into electrical signals, which are transmitted to the data acquisition system through the interface module. Data transmission usually adopts wireless communication to ensure real-time data acquisition in large areas or complex environments.

[0063] The collected raw data is processed in real time through the Internet of Things platform; the real-time processing results are then fed back to the intelligent control system. The aeration control system can be regulated by a PID controller, and a suitable fermentation environment can be maintained through the automatically adjusted aeration control system.

[0064] The embodiment of the present invention first obtains the oxygen concentration, carbon dioxide concentration, ammonia concentration, temperature, and humidity in the organic fertilizer fermentation chamber through a data acquisition module. The purpose of the data acquisition module to obtain this data is to analyze the changes in the dissolved oxygen content in the organic fertilizer fermentation chamber, evaluate whether the intelligent aeration control system provides a good environment for the decomposition efficiency of organic matter, and further provide data support for evaluating the response of the intelligent control system to oxygen concentration.

[0065] Specifically, an integrated gas sensor is provided in the film-covered aerobic high-temperature fermentation composting system, and the gas sensor can obtain gas concentration data such as oxygen, carbon dioxide, ammonia, etc. during the monitoring period through the Internet of Things system.

[0066] In the embodiment of the present invention, a monitoring time period is set to 30 minutes. In other embodiments, the implementer may adjust the duration of the monitoring time period according to actual conditions.

[0067] The delay analysis module 20 is used to determine the microbial activity during the fermentation process based on the correlation between oxygen concentration and temperature; and to determine the response delay of the aeration control system based on the temperature change, the adjustment hysteresis of the aeration control system and the microbial activity.

[0068] Obtain the oxygen concentration and temperature during the monitoring period, and obtain the oxygen monitoring curve and temperature monitoring curve during the monitoring period by fitting. Standardize the values in the oxygen monitoring curve and temperature monitoring curve.

[0069] Furthermore, the microbial activity during the fermentation process is determined based on the correlation between oxygen concentration and temperature. Under normal circumstances, when the temperature is rising and the oxygen concentration is falling during the monitoring period, it is because microbial activity consumes oxygen. Therefore, the higher the temperature during the fermentation process, the faster the current reaction. On the contrary, the lower the temperature during the fermentation process, the less active the microorganisms are. The microbial activity determined by analyzing the oxygen concentration and temperature reflects the activity of the microorganisms during the fermentation process. The larger the value of the microbial activity, the higher the relative activity of the microorganisms. Therefore, for the aeration control system, it is necessary to promptly increase the fan speed or increase the gas flow to provide oxygen supply, so as to measure the regulation needs of the aeration control system through the changes in oxygen content during the actual detection process.

[0070] Specifically, after constructing the oxygen monitoring curve and the temperature monitoring curve, the overall change mean of the oxygen concentration at adjacent moments of the oxygen monitoring curve and the overall change mean of the temperature at adjacent moments of the temperature monitoring curve are determined; the difference between the overall change mean of the temperature and the oxygen concentration is used as the activity consumption; the average temperature during the monitoring time period is calculated; and the product of the activity consumption and the average temperature is used as the microbial activity during the fermentation process.

[0071] In the embodiment of the present invention, the method for obtaining the overall change mean of oxygen concentration is to calculate the average slope value of each data point on the oxygen monitoring curve as the overall change mean of oxygen concentration. The corresponding method for obtaining the overall change mean of temperature is to calculate the average slope value of each data point on the oxygen monitoring curve as the overall change mean of oxygen concentration.

[0072] As a specific embodiment of the present invention, the calculation formula of the microbial activity p during the fermentation process is:

[0073] in, is the overall mean change of temperature; is the overall change mean of oxygen concentration; is the activity consumption; is the average temperature during the monitoring period.

[0074] After determining the microbial activity during the fermentation process by analyzing the correlation between oxygen concentration and temperature, the system further analyzes the conditional time lag between the frequency of temperature changes during actual data monitoring and the aeration system's adjustments. Based on this time lag, the system's response delay to oxygen concentration changes is analyzed, allowing for further adjustments to the aeration system based on this response delay. In this embodiment of the present invention, the aeration system's response delay is determined based on a combination of temperature changes, the aeration system's adjustment lag, and the microbial activity.

[0075] When the oxygen content in the fermentation pile falls below the preset oxygen concentration threshold, the aeration control system fails to provide oxygen immediately, but only after a certain delay. This delay represents the aeration control system's regulation lag, which can amplify the aeration control system's response error. The higher the activity of the organic matter during the fermentation process—that is, the higher the microbial activity—the more oxygen is consumed. Furthermore, if the temperature fluctuates rapidly, this further impacts fermentation efficiency. This delayed response reflects the aeration control system's inability to respond promptly to the complex changes in the fermentation pile during the actual fermentation process.

[0076] The method for determining the response delay of an aeration control system is as follows: obtaining extreme points in a temperature monitoring curve composed of temperatures, calculating the average of the absolute differences between all adjacent extreme points, and recording this as the mean temperature extreme difference; recording the time point when the oxygen concentration most recently fell below a preset oxygen concentration threshold during the monitoring period as a first marking moment; recording the most recent aeration adjustment time point after the first marking moment as a second marking moment; using the difference between the second marking moment and the first marking moment as the adjustment hysteresis of the aeration control system; and determining the response delay of the aeration control system based on the mean temperature extreme difference, the adjustment hysteresis, and the microbial activity. More specifically, the product of the mean temperature extreme difference, the adjustment hysteresis, and the microbial activity is used as the response delay of the aeration control system.

[0077] The preset oxygen concentration threshold is preset in advance by the implementer according to actual conditions. In some embodiments, the average value of oxygen concentration in historical data can also be used as the preset oxygen concentration threshold.

[0078] In some embodiments, the response delay Y of the aeration control system is calculated as:

[0079]

[0080] Where p is the activity of microorganisms during the fermentation process; N is the number of extreme points in the temperature monitoring curve; is the value corresponding to the nth extreme point in the temperature monitoring curve; is the value corresponding to the n+1th extreme point in the temperature monitoring curve; t ′ is the first marking moment; t o is the second marking moment; t ′ -t o The regulation hysteresis of the aeration control system; is the mean temperature range.

[0081] The gas analysis module 30 is used to determine the comprehensive gas exchange rate of the fermentation pile according to the humidity change, carbon dioxide concentration and ammonia concentration of the fermentation pile.

[0082] The gas exchange efficiency in the fermentation pile can be evaluated by the changes in gas concentration and humidity during the fermentation process. The gas exchange efficiency can reflect whether the adjustment of the aeration control system is timely. The worse the gas exchange efficiency, the worse the regulation of the aeration system, and it cannot provide a better decomposition environment for the fermentation in the fermentation pile in time.

[0083] In some embodiments, the comprehensive gas exchange rate of the fermentation stack is determined by analyzing the humidity and gas concentration, that is, the gas analysis module 30 may include Figure 2 The submodules shown are:

[0084] The first gas exchange rate submodule 31 is used to determine the first gas exchange rate of the fermentation pile according to the humidity change of the fermentation pile.

[0085] The greater the change in humidity during the fermentation process, the greater the humidity fluctuation. This fluctuation will affect the metabolic activity of microorganisms, and then affect the gas exchange efficiency. The corresponding gas exchange rate will be relatively low. At this time, the aeration control system can balance the humidity changes by adjusting the ventilation volume to solve the problem of low gas exchange rate.

[0086] Obtain the maximum point in the humidity monitoring curve composed of humidity, calculate the average of the absolute values of the differences between all adjacent maximum points, and record it as the humidity fluctuation impact value; and use the negative correlation mapping value of the humidity fluctuation impact value as the first gas exchange rate.

[0087] In some embodiments, the calculation formula of the first gas exchange rate f1 is:

[0088]

[0089] Where M is the number of maximum points in the humidity monitoring curve; G m is the value corresponding to the mth maximum point in the humidity monitoring curve; G m+1 It is the value corresponding to the m+1th maximum point in the humidity monitoring curve.

[0090] The second gas exchange rate submodule 32 is used to determine the second gas exchange rate of the fermentation stack according to the carbon dioxide concentration and the ammonia concentration.

[0091] When carbon dioxide concentrations are high, it may mean that the oxygen supply is insufficient, requiring the aeration control system to increase oxygen. If ammonia concentrations are high, the aeration control system needs to increase ventilation to remove excess ammonia. The concentrations of these gas components can change relatively quickly, so the aeration system needs to respond quickly.

[0092] The average values of carbon dioxide concentration and ammonia concentration in the monitoring time period are calculated respectively; the sum of the average values of carbon dioxide concentration and ammonia concentration is negatively correlated and the result of the negative correlation mapping is used as the second gas exchange rate of the fermentation pile.

[0093] In some embodiments, the second gas exchange rate f2 is calculated as:

[0094] in, is the average value of carbon dioxide concentration during the monitoring period; is the average ammonia concentration during the monitoring period. It represents the concentration of the gas component in the fermentation environment. The higher the concentration of the gas component, the lower the corresponding second gas exchange rate.

[0095] The comprehensive gas exchange rate submodule 33 is configured to determine the comprehensive gas exchange rate of the fermentation stack by combining the first gas exchange rate and the second gas exchange rate.

[0096] The sum of the first gas exchange rate and the second gas exchange rate is taken as the comprehensive gas exchange rate of the fermentation pile.

[0097] The sum of the first gas exchange rate and the second gas exchange rate represents the comprehensive gas exchange efficiency during the fermentation process. The smaller the value of the comprehensive gas exchange rate, the greater the impact of environmental humidity and gas composition on the gas exchange efficiency in the actual fermentation environment, and the higher the adjustment demand for the aeration control system. If there is an adjustment lag in the aeration control system, the response error of the intelligent control system will be further increased.

[0098] The controller adjustment module 40 is used to obtain a correction coefficient of the aeration control system according to the response delay and the comprehensive gas exchange rate; correct the proportional gain according to the correction coefficient, and use the corrected proportional gain as the proportional gain of the PID controller in the aeration control system.

[0099] During the actual fermentation process, the pH changes in the fermentation pile can also be used to adjust the aeration control system. When the pH value is too low or too high, the activity of microorganisms will decrease, and the oxygen demand may decrease. Since the pH value changes slowly, if the aeration control system does not respond in time, it will affect the regulation of oxygen concentration, resulting in errors.

[0100] The Internet of Things monitoring system acquires pH data from the fermentation pile during the monitoring period. The pH values of the fermentation pile during the monitoring period are fitted using existing methods to generate a pH monitoring data curve. The variance of the pH monitoring data curve is then normalized and recorded as the control error τ. A larger variance indicates unstable pH changes, and an unstable state further affects the control error of the aeration intelligent control system, i.e., a larger control error τ. This control error represents the fluctuation of pH values in the fermentation pile.

[0101] In the intelligent aeration control system of organic fertilizer fermentation, the PID controller can achieve accurate feedback control. Based on the analysis of monitoring data during the actual fermentation process, the proportional gain in the PID controller is adjusted. By adjusting the proportional gain, the response delay and control error of the intelligent aeration control system can be suppressed, thereby improving the control performance of the intelligent aeration control system.

[0102] In an embodiment of the present invention, a correction coefficient of the aeration control system is obtained according to the response delay and the comprehensive gas exchange rate.

[0103] In some embodiments, the difference between the normalized post-response delay and the integrated gas exchange rate is calculated as an initial correction factor. This initial correction factor is then summed with the control error to yield a resulting value, which serves as the correction factor for the aeration control system. In this manner, when adjusting the aeration control system, not only humidity, temperature, and gas concentration factors are considered, but also changes in the pH of the fermentation pile are analyzed, further improving the accuracy of the aeration control system adjustments.

[0104] The calculation formula of the correction coefficient d of the aeration control system is:

[0105] d = th(Y) - F + τ;

[0106] Where th is the hyperbolic tangent function; Y is the response delay; F is the comprehensive gas exchange rate; and τ is the control error.

[0107] th(Y)-F reflects the timeliness of the aeration control system's actual control process. A larger difference indicates a longer response delay and lower gas exchange efficiency in the fermentation environment, indicating a higher response requirement for the aeration control system. This indicates a slow response to disturbances or input changes, indicating low regulation accuracy. The control error, obtained by analyzing the pH value of the fermentation pile, is then introduced. The value of th(Y)-F+τ is used as a correction factor for the proportional gain of the PID controller in the aeration control system's control terminal.

[0108] The proportional gain is corrected according to the correction coefficient to obtain the corrected proportional gain, specifically: the correction coefficient and the proportional gain are multiplied to obtain the corrected proportional gain. Wherein, the proportional gain multiplied by the correction coefficient is the initial default proportional gain parameter. The corrected proportional gain is input into the control chip of the PID controller, and the aeration control system in the real-time organic fertilizer fermentation process is subjected to high-precision regulation. When the oxygen content concentration in the fermentation process is low, the aeration control system in the embodiment of the present invention can adjust the fan speed in time. The faster the fan speed, the higher the oxygen concentration, so as to achieve the regulation of the oxygen concentration in the fermentation pile. It should be noted that the embodiment of the present invention is equivalent to the pre-processing step in the aeration control system to achieve the optimization of the PID controller in the aeration control system. The optimized PID controller will adaptively achieve regulation in the subsequent specific regulation process.

[0109] See also Figure 3 , which shows a schematic diagram of the composition of an aerobic composting membrane fermentation system.

[0110] See also Figure 4 , which shows a flowchart of a method for intelligent aeration control of organic fertilizer fermentation using a nanomolecular membrane according to an embodiment of the present invention, the method comprising the following steps:

[0111] Step S100, obtaining the oxygen concentration, carbon dioxide concentration, ammonia concentration, temperature and humidity in the organic fertilizer fermentation chamber;

[0112] Step S200, determining the microbial activity during the fermentation process based on the correlation between oxygen concentration and temperature; and determining the response delay of the aeration control system based on the temperature change, the adjustment hysteresis of the aeration control system, and the microbial activity.

[0113] Step S300, determining the comprehensive gas exchange rate of the fermentation pile based on the humidity change, carbon dioxide concentration, and ammonia concentration of the fermentation pile;

[0114] Step S400: obtaining a correction coefficient of the aeration control system according to the response delay and the comprehensive gas exchange rate; correcting the proportional gain according to the correction coefficient, and using the corrected proportional gain as the proportional gain of the PID controller in the aeration control system.

[0115] Optionally, the transmission medium can be a wired link, such as but not limited to coaxial cable, optical fiber and digital subscriber line, or a wireless link, such as but not limited to Wireless Fidelity (WIFI), Bluetooth and mobile device network.

[0116] It should be noted that the device provided in the above embodiment is only illustrated by the division of the above functional modules. In actual applications, the above functions can be assigned to different functional modules as needed, that is, the internal structure of the computer device can be divided into different functional modules to complete all or part of the functions described above.

[0117] Figure 5 FIG. 1 is a schematic diagram of the structure of a computer device provided by an embodiment of the present invention. For example, Figure 5 As shown, the computer device 500 includes: a memory 510, a processor 520, and a computer program 530 stored in the memory 510 and running on the processor 520, wherein when the processor 520 executes the computer program 530, the computer device can execute any of the organic fertilizer fermentation intelligent aeration control systems using nanomolecular membranes introduced above.

[0118] In addition, an embodiment of the present invention also protects a device, which may include a memory and a processor, wherein the memory stores executable program code, and the processor is used to call and execute the executable program code to execute the organic fertilizer fermentation intelligent aeration control system using nanomolecular membrane provided by an embodiment of the present invention.

[0119] In embodiments of the present invention, the device may be divided into functional modules based on the above-described method examples. For example, these modules may correspond to individual functional modules, or two or more functions may be integrated into a single processing module. The integrated modules may be implemented in hardware. It should be noted that the module division in this embodiment is illustrative and represents only a logical functional division. In actual implementation, other division methods may be employed.

[0120] In the case of dividing each module into modules corresponding to each function, the device may further include a signal uploading module, a determination module, an adjustment module, etc. It should be noted that all relevant contents of each step involved in the above method embodiment can be referred to the functional description of the corresponding functional module and will not be repeated here.

[0121] It should be understood that the device provided in the embodiment of the present invention is used to implement the above-mentioned organic fertilizer fermentation intelligent aeration control system using nanomolecular membranes, and thus can achieve the same effect as the above-mentioned implementation method.

[0122] In the case of an integrated unit, the device may include a processing module and a storage module. When the device is applied to a device, the processing module may be used to control and manage the operation of the device. The storage module may be used to support the device in executing mutual program codes, etc. The processing module may be a processor or a controller that may implement or execute various exemplary logic blocks, modules, and circuits described in conjunction with the present disclosure. The processor may also be a combination that implements computing functions, such as a combination of one or more microprocessors, a combination of digital signal processing (DSP) and a microprocessor, etc. The storage module may be a memory.

[0123] In addition, the device provided in the embodiment of the present invention can be specifically a chip, a component or a module. The chip may include a connected processor and a memory; wherein the memory is used to store instructions. When the processor calls and executes the instructions, the chip can execute the organic fertilizer fermentation intelligent aeration control system using nanomolecular membranes provided in the above embodiment.

[0124] An embodiment of the present invention also provides a computer-readable storage medium, which stores computer program code. When the computer program code is run on a computer, the computer executes the above-mentioned related method steps to implement the organic fertilizer fermentation intelligent aeration control system using nanomolecular membranes provided in the above embodiment.

[0125] The embodiment of the present invention further provides a computer program product. When the computer program product is run on a computer, the computer is caused to execute the above-mentioned related steps to implement the organic fertilizer fermentation intelligent aeration control system using nanomolecular membranes provided in the above embodiment.

[0126] Among them, the device, computer-readable storage medium, computer program product or chip provided in the embodiments of the present invention are all used to execute the corresponding methods provided above. Therefore, the beneficial effects that can be achieved can refer to the beneficial effects in the corresponding methods provided above, and will not be repeated here. Through the description of the above implementation methods, technical personnel in the relevant field can understand that for the convenience and simplicity of description, only the division of the above-mentioned functional modules is used as an example. In actual applications, the above-mentioned functions can be distributed and completed by different functional modules as needed, that is, the internal structure of the device is divided into different functional modules to complete all or part of the functions described above. In the embodiments provided by the present invention, it should be understood that the disclosed device and method can be implemented in other ways.

[0127] The device embodiments described above are merely illustrative. For example, the division into modules or units represents only one logical functional division. Actual implementations may employ alternative divisions, such as combining or integrating multiple units or components into another device, or omitting or disabling certain features. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through an interface, or indirect coupling or communication connection between devices or units may be electrical, mechanical, or otherwise.

[0128] It should also be noted that, in this document, the terms "comprises," "includes," or any other variations thereof are intended to encompass non-exclusive inclusion, such that a process, method, article, or terminal device comprising a series of elements includes not only those elements but also other elements not explicitly listed, or elements inherent to such process, method, article, or terminal device. In the absence of further limitations, an element defined by the phrase "comprising a ..." does not exclude the presence of other identical elements in the process, method, article, or terminal device comprising the element.

[0129] It should be noted that the order in which the embodiments of the present invention are described above is for illustrative purposes only and does not necessarily represent the superiority or inferiority of the embodiments. The processes depicted in the accompanying drawings do not necessarily require the specific order or sequential order shown to achieve the desired results. In certain embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0130] The various embodiments in this specification are described in a progressive manner, and the same or similar parts between the various embodiments can be referred to each other. Each embodiment focuses on the differences from other embodiments.

[0131] The above content is only a specific implementation method of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with this technical field can easily think of changes or replacements within the technical scope disclosed by the present invention, which should be covered by the protection scope of the present invention.

Claims

1. An organic fertilizer fermentation intelligent aeration control system using nanomolecular membranes, characterized in that: The system includes the following modules: A data acquisition module is used to obtain the oxygen concentration, carbon dioxide concentration, ammonia concentration, temperature and humidity in the organic fertilizer fermentation room; a delay analysis module for determining the microbial activity during the fermentation process based on the correlation between oxygen concentration and temperature; and determining the response delay of the aeration control system based on the temperature change, the adjustment hysteresis of the aeration control system, and the microbial activity; The method for determining the response delay of the aeration control system is as follows: obtaining extreme points in a temperature monitoring curve composed of temperatures, calculating the average of the absolute values of the differences between all adjacent extreme points, and recording the average value as the temperature extreme difference; recording the time point when the oxygen concentration is most recently lower than a preset oxygen concentration threshold in the monitoring time period as a first marking moment; recording the most recent aeration adjustment time point after the first marking moment as a second marking moment; using the difference between the second marking moment and the first marking moment as the adjustment hysteresis of the aeration control system; and using the product of the temperature extreme difference average, the adjustment hysteresis, and the microbial activity as the response delay of the aeration control system. A gas analysis module is used to determine the comprehensive gas exchange rate of the fermentation pile based on the humidity changes, carbon dioxide concentration and ammonia concentration of the fermentation pile; The controller adjustment module is used to obtain a correction coefficient of the aeration control system according to the response delay and the comprehensive gas exchange rate; correct the proportional gain according to the correction coefficient, and use the corrected proportional gain as the proportional gain of the PID controller in the aeration control system.

2. The organic fertilizer fermentation intelligent aeration control system using nanomolecular membrane according to claim 1, characterized in that: The method of determining the microbial activity during the fermentation process based on the correlation between oxygen concentration and temperature includes: The oxygen concentration in the monitoring period forms an oxygen monitoring curve, and the temperature in the monitoring period forms a temperature monitoring curve; Determine the overall change mean of the oxygen concentration at adjacent moments of the oxygen monitoring curve and the overall change mean of the temperature at adjacent moments of the temperature monitoring curve; The difference between the mean of the overall changes in temperature and oxygen concentration is taken as the activity consumption; The average temperature during the monitoring period is calculated; and the product of the activity consumption and the average temperature is used as the microbial activity during the fermentation process.

3. The organic fertilizer fermentation intelligent aeration control system using nanomolecular membrane according to claim 1, characterized in that: The method of determining the comprehensive gas exchange rate of the fermentation pile according to the humidity change, carbon dioxide concentration and ammonia concentration of the fermentation pile comprises: The first gas exchange rate of the fermentation pile is determined according to the humidity change of the fermentation pile; the second gas exchange rate of the fermentation pile is determined according to the carbon dioxide concentration and the ammonia concentration; and the comprehensive gas exchange rate of the fermentation pile is determined by combining the first gas exchange rate and the second gas exchange rate.

4. The organic fertilizer fermentation intelligent aeration control system using nanomolecular membrane according to claim 3, characterized in that: The step of determining the first gas exchange rate of the fermentation pile according to the humidity change of the fermentation pile includes: Obtain the maximum point in the humidity monitoring curve composed of humidity, calculate the average of the absolute values of the differences between all adjacent maximum points, and record it as the humidity fluctuation impact value; and use the negative correlation mapping value of the humidity fluctuation impact value as the first gas exchange rate.

5. The organic fertilizer fermentation intelligent aeration control system using nanomolecular membrane according to claim 3, characterized in that: Determining the second gas exchange rate of the fermentation pile according to the carbon dioxide concentration and the ammonia concentration includes: Calculate the average value of carbon dioxide concentration and the average value of ammonia concentration during the monitoring period respectively; A negative correlation mapping is performed on the sum of the average value of the carbon dioxide concentration and the average value of the ammonia concentration, and the result of the negative correlation mapping is used as the second gas exchange rate of the fermentation pile.

6. The organic fertilizer fermentation intelligent aeration control system using nanomolecular membrane according to claim 3, characterized in that: The combining of the first gas exchange rate and the second gas exchange rate to determine the comprehensive gas exchange rate of the fermentation pile includes: The sum of the first gas exchange rate and the second gas exchange rate is taken as the comprehensive gas exchange rate of the fermentation pile.

7. The organic fertilizer fermentation intelligent aeration control system using nanomolecular membrane according to claim 1, characterized in that: The correction coefficient of the aeration control system is obtained according to the response delay and the comprehensive gas exchange rate, including: The difference between the normalized post-response delay and the comprehensive gas exchange rate is calculated as the initial correction coefficient. The initial correction coefficient and the control error are summed to obtain the resulting value as the correction coefficient of the aeration control system; wherein the control error represents the fluctuation of the pH value of the fermentation pile.

8. The organic fertilizer fermentation intelligent aeration control system using nanomolecular membrane according to claim 1, characterized in that: The correcting the proportional gain according to the correction coefficient includes: The correction coefficient and the proportional gain are multiplied to obtain a corrected proportional gain.

Images