Organic fertilizer fermentation intelligent aeration control system applying nano-molecular film

Abstract

The invention relates to the technical field of control systems, in particular to an organic fertilizer fermentation intelligent aeration control system applying a nano-molecular film. The system comprises a data acquisition module, a delay analysis module, a gas analysis module and a controller adjusting module. Wherein the delay analysis module is used for determining the response delay of the aeration control system in combination with the change condition of temperature, the regulation hysteresis of the aeration control system and the activeness of microorganisms; the gas analysis module is used for determining the comprehensive gas exchange rate of the fermentation heap according to the humidity change condition, the carbon dioxide concentration and the ammonia gas concentration of the fermentation heap; the controller adjusting module is used for determining a correction coefficient of the aeration control system; and taking the proportional gain corrected by the correction coefficient as the proportional gain of a PID controller in the aeration control system. According to the invention, the response speed and the control precision of the aeration control system are effectively improved.

Description

Technical Field

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

[0002] Organic fertilizer fermentation refers to the process of converting organic waste into organic fertilizer by using the metabolism of microorganisms. Among them, organic waste such as poultry manure, livestock manure, crop residues, etc. can effectively reduce the pollution of feces and other organic waste to the environment while converting them into organic matter with high fertilizer efficiency. In the process of organic fertilizer production, aerobic fermentation is a common and efficient method. Aerobic fermentation depends on the activity of microorganisms and requires sufficient oxygen supply in the reactor. Therefore, a reasonable aeration control system is crucial in the aerobic fermentation process.

[0003] At present, it is common to directly adjust the oxygen concentration by using the PID controller in the aeration control system during the organic fertilizer fermentation process. 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 influence of different gas exchange efficiencies on the fermentation environment, which will affect the control accuracy of the aeration control system, resulting in insufficient response speed to the actual fermentation process, which is easy to cause unstable fermentation effect. 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, and the technical scheme adopted is as follows:

[0005] In a first aspect, an embodiment of the present invention provides an organic fertilizer fermentation intelligent aeration control system 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 is used to determine the activity of microorganisms in the fermentation process according to the correlation between oxygen concentration and temperature; and to determine the response delay of the aeration control system in combination with the temperature change, the adjustment hysteresis of the aeration control system and the activity of the microorganisms;

[0008] A gas analysis module 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;

[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 the activity of microorganisms during the fermentation process according to the correlation between oxygen concentration and temperature includes:

[0011] The oxygen concentration in the monitoring time period constitutes an oxygen monitoring curve, and the temperature in the monitoring time period constitutes 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 value of the temperature during the monitoring period is calculated; and the product of the activity consumption and the average value of the 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 activity of the microorganisms 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 value 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 the 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] Further, the step of 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 taken as the response delay of the aeration control system.

[0022] Further, the comprehensive gas exchange rate of the fermentation pile is determined according to the humidity change, carbon dioxide concentration and ammonia concentration of the fermentation pile, including:

[0023] According to the humidity change of the fermentation pile, the first gas exchange rate of the fermentation pile is determined; according to the carbon dioxide concentration and the ammonia concentration, the second gas exchange rate of the fermentation pile is determined; 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] Further, determining the first gas exchange rate of the fermentation pile according to the humidity change of the fermentation pile includes:

[0025] The maximum point in the humidity monitoring curve composed of humidity is obtained, and the average value of the absolute value of the difference between all adjacent maximum points is calculated, which is recorded as the humidity fluctuation influence value; the negative correlation mapping value of the humidity fluctuation influence value is used as the first gas exchange rate.

[0026] Further, 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 value of the negative correlation mapping is used as the second gas exchange rate of the fermentation pile.

[0029] Further, the combining 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] Further, the correction coefficient of the aeration control system is obtained according to the response delay and the comprehensive gas exchange rate, including:

[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 result value as the correction coefficient of the aeration control system; wherein the control error characterizes the change fluctuation of the pH value of the fermentation pile.

[0033] Further, 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 oxygen concentration, carbon dioxide concentration, ammonia concentration, temperature and humidity in the organic fertilizer fermentation room;

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

[0038] 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;

[0039] According to the response delay and the comprehensive gas exchange rate, a correction coefficient of the aeration control system is obtained; 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, including a memory and a processor, wherein the memory stores executable code, and when the processor executes the executable code, it implements the various possible embodiments of the first aspect.

[0041] In a fourth aspect, an embodiment of the present invention provides a computer program product, which includes: a computer program code, which, when executed on a computer, enables the computer to execute the method in the 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, which, when executed in a computer, enables the computer 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 activity of microorganisms in a fermentation process by analyzing the correlation between oxygen concentration and temperature. The system considers that the higher the temperature in the fermentation process, the faster the current reaction is. The system also considers the consumption of oxygen during the microbial activity to determine the activity of microorganisms and realize dynamic monitoring of microbial activity. The response delay of an aeration control system is determined by combining the adjustment hysteresis, microbial activity and temperature changes in the adjustment time. Then, the change in environmental humidity and the exchange efficiency of different gas components in the fermentation process are analyzed to obtain a comprehensive gas exchange rate, and the comprehensive gas exchange rate characterizes the response requirements of an aeration control system. Finally, the control requirements of a proportional gain in an aeration control system are obtained according to the response delay and the comprehensive gas exchange rate, which effectively improves the response speed of an aeration control system, reduces the control error, improves the control accuracy of an aeration control system, optimizes the fermentation process, and finally realizes 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 in the embodiments of the present invention or the prior art, the drawings required for use in the embodiments or the prior art descriptions are briefly introduced below. 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 creative work.

[0046] Figure 1 A system block diagram of an organic fertilizer fermentation intelligent aeration control system using a nanomolecular membrane provided by an 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 method flow chart of an organic fertilizer fermentation intelligent aeration control method using a nanomolecular membrane provided by an embodiment of the present invention;

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

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

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

[0053] Among them, 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 way to describe 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 are not to be understood as suggesting or implying relative importance or implicitly indicating the number of technical features indicated. Thus, 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 in conjunction with 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 a nanomolecular membrane provided by an embodiment of the present invention, the system includes the following modules:

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

[0060] In the intelligent aeration control system for organic fertilizer fermentation using nanomolecular membranes, monitoring key environmental and process parameters is essential for achieving precise aeration regulation. 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 the environment and process parameters in real time. As in an embodiment of the present invention, a temperature sensor and a humidity sensor 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 to maintain a suitable fermentation environment through an 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 these data is to analyze the change of the dissolved oxygen content in the organic fertilizer fermentation chamber, evaluate whether the intelligently controlled aeration control system provides a better environment for the decomposition efficiency of organic matter, and then 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 a monitoring period through an 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] The oxygen concentration and temperature in the monitoring time period are obtained, and the oxygen monitoring curve and the temperature monitoring curve in the monitoring time period are obtained by fitting means, and the values ​​in the oxygen monitoring curve and the temperature monitoring curve are standardized.

[0069] Furthermore, the activity of microorganisms during the fermentation process is determined based on the correlation between oxygen concentration and temperature. Under normal circumstances, when the temperature during the monitoring period is in an upward stage and the oxygen concentration is in a downward stage, it is because the 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 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 should promptly provide oxygen supply by increasing the fan speed or increasing the gas flow rate, 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, 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; take the difference between the overall change mean of the temperature and the oxygen concentration as the activity consumption; calculate the average temperature during the monitoring time period; and take the product of the activity consumption and the average temperature 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: calculating the average value of the slope value of each data point on the oxygen monitoring curve as the overall change mean of oxygen concentration. The method for obtaining the overall change mean of the corresponding temperature is: calculating the average value of the 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; The consumption of the activity; 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 conditional time lag between the temperature change frequency and the adjustment of the aeration system during the actual data monitoring process is further analyzed, and the response delay of the aeration control system to the oxygen concentration change is analyzed based on the time lag, so as to further adjust the aeration control system through the response delay. In the embodiment of the present invention, the response delay of the aeration control system is determined in combination with the temperature change, the adjustment hysteresis of the aeration control system and the microbial activity.

[0075] When the oxygen content in the fermentation pile is lower than the preset oxygen concentration threshold, the aeration control system does not provide oxygen in time, but only provides oxygen after a certain interval. The interval represents the adjustment hysteresis of the aeration control system, and the adjustment hysteresis will amplify the response error of the aeration control system. The higher the activity of organic matter in the fermentation process, that is, the higher the activity of microorganisms, the more oxygen needs to be consumed. In addition, if the temperature continues to change rapidly, it will further affect the fermentation efficiency. The response delay reflects that in the actual fermentation process, the aeration control system cannot respond to the complex changes of the fermentation pile in time.

[0076] The method for the response delay of the aeration control system is as follows: obtain the extreme point in the temperature monitoring curve composed of temperature, calculate the average value of the absolute value of the difference between all adjacent extreme points, and record it as the mean temperature extreme difference; record the time point when the oxygen concentration is lower than the preset oxygen concentration threshold in the monitoring time period as the first marking moment; record the aeration adjustment time point after the first marking moment as the second marking moment; use the difference between the second marking moment and the first marking moment as the adjustment hysteresis of the aeration control system; determine the response delay of the aeration control system according to 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 the actual situation. In some embodiments, the average value of the oxygen concentration in the historical data can also be used as the preset oxygen concentration threshold.

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

[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; It 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 It is 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 aeration control system is adjusted in time. The worse the gas exchange efficiency, the worse the regulation of the aeration system, and it cannot provide a good 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 the 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] The maximum point in the humidity monitoring curve composed of humidity is obtained, and the average value of the absolute value of the difference between all adjacent maximum points is calculated, which is recorded as the humidity fluctuation influence value; the negative correlation mapping value of the humidity fluctuation influence value is used as the first gas exchange rate.

[0087] In some embodiments, the first gas exchange rate f 1 The calculation formula 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 the carbon dioxide concentration is high, it may mean that the oxygen supply is insufficient, which requires the aeration control system to increase oxygen; if the ammonia concentration is high, the aeration control system needs to increase ventilation to remove excess ammonia. The concentration changes of these gas components may be relatively fast, 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 mapped, and the result value 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 f 2 The calculation formula is:

[0094] in, is the average value of carbon dioxide concentration during the monitoring period; It is the average value of ammonia concentration during the monitoring period. It indicates 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 used to determine the comprehensive gas exchange rate of the fermentation pile 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 is, the greater the impact of ambient 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] In the actual fermentation process, the pH value changes of 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 and cause errors.

[0100] According to the Internet of Things monitoring system, the monitoring data of the pH value of the fermentation pile in the monitoring time period is obtained, and the pH value of the fermentation pile in the monitoring time period is fitted according to the existing method to obtain the pH monitoring data curve; then the normalized result of the variance of the pH monitoring data curve is recorded as the control error τ; the larger the variance, the more it indicates that the pH value change is not stable, and the unstable change state further affects the control error of the aeration intelligent control system, that is, the larger the control error τ. That is, the control error characterizes the change and fluctuation of the pH value of the fermentation pile.

[0101] In the intelligent aeration control system of organic fertilizer fermentation, the PID controller can be used to achieve accurate feedback control. The proportional gain in the PID controller can be adjusted based on the analysis of the monitoring data in the actual fermentation process. 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 the 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 comprehensive gas exchange rate is calculated as the initial correction coefficient; the initial correction coefficient and the control error are summed to obtain the result value as the correction coefficient of the aeration control system. At this time, when adjusting the aeration control system, not only the factors of humidity, temperature and gas concentration are considered, but also the analysis of the pH value change of the fermentation pile is added, which further improves the adjustment accuracy of the aeration control system.

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

[0105] d = th(Y) - F + τ;

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

[0107] th(Y)-F reflects the timeliness of the control in the actual control process of the aeration control system. The larger the difference, the higher the response delay in the control process and the low gas exchange efficiency in the fermentation environment, that is, the higher the response demand of the aeration control system; that is, the control system responds slowly to disturbances or input changes, that is, the regulation accuracy of the aeration control system is not high. Then, the control error obtained by analyzing the pH value of the fermentation pile is introduced, and its th(Y)-F+τ value is used as the correction coefficient of the proportional gain of the PID controller in the control terminal of the aeration control system.

[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. Among them, 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 to perform high-precision regulation on the aeration control system in the real-time organic fertilizer fermentation process. 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 flow chart of the steps of an organic fertilizer fermentation intelligent aeration control method using a nanomolecular membrane provided by 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 activity of microorganisms in the fermentation process according to the correlation between oxygen concentration and temperature; determining the response delay of the aeration control system in combination with the temperature change, the adjustment hysteresis of the aeration control system and the activity of the microorganisms;

[0113] Step S300, 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;

[0114] Step S400, obtaining a correction coefficient of an aeration control system according to the response delay and the comprehensive gas exchange rate; correcting a proportional gain according to the correction coefficient, and using the corrected proportional gain as a proportional gain of a 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 is a schematic diagram of the structure of a computer device provided by an embodiment of the present invention. 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 an 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] The embodiment of the present invention can divide the functional modules of the device according to the above method example. For example, each functional module can be corresponded, or two or more functions can be integrated into one processing module. The above integrated module can be implemented in the form of hardware. It should be noted that the division of modules in this embodiment is schematic and is only a logical function division. There may be other division methods in actual implementation.

[0120] In the case of dividing each module according to each function, the device may also include a signal uploading module, a determining module, an adjusting 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, which will not be repeated here.

[0121] It should be understood that the device provided in the embodiment of the present invention is used to execute 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 actions of the device. The storage module may be used to support the device to execute mutual program codes, etc. The processing module may be a processor or a controller, which may implement or execute various exemplary logic blocks, modules and circuits described in conjunction with the disclosure of the present invention. The processor may also be a combination that implements a computing function, 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 may specifically be a chip, a component or a module, and the chip may include a connected processor and a memory; wherein the memory is used to store instructions, and when the processor calls and executes the instructions, the chip can execute the organic fertilizer fermentation intelligent aeration control system using nanomolecular membrane provided in the above embodiment.

[0124] An embodiment of the present invention also provides a computer-readable storage medium, in which a computer program code is stored. When the computer program code is executed on a computer, the computer executes the above-mentioned related method steps to implement the organic fertilizer fermentation intelligent aeration control system using nanomolecular membrane 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 executes the above-mentioned related steps to implement the organic fertilizer fermentation intelligent aeration control system using nanomolecular membrane 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, technicians 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 assigned to 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 devices and methods can be implemented in other ways.

[0127] The device embodiments described above are merely illustrative. For example, the division of modules or units is only a logical function division. There may be other divisions in actual implementation. For example, multiple units or components may be combined or integrated into another device, or some features may be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed may be through some interfaces, indirect coupling or communication connection of devices or units, which may be electrical, mechanical or other forms.

[0128] It should also be noted that, in this article, the terms "include", "comprises" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or terminal device including a series of elements includes not only those elements, but also includes other elements not explicitly listed, or also includes elements inherent to such process, method, article or terminal device. In the absence of further restrictions, the elements defined by the sentence "comprises a ..." do not exclude the existence of other identical elements in the process, method, article or terminal device including the elements.

[0129] It should be noted that the sequence of the above embodiments of the present invention is only for description and does not represent the advantages and disadvantages of the embodiments. The processes depicted in the accompanying drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some 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 referenced to each other, and each embodiment focuses on the differences from other embodiments.

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

Claims

1. An organic fertilizer fermentation intelligent aeration control system using nanomolecular membrane, 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 is used to determine the activity of microorganisms in the fermentation process according to the correlation between oxygen concentration and temperature; and to determine the response delay of the aeration control system in combination with the temperature change, the adjustment hysteresis of the aeration control system and the activity of the microorganisms; A gas analysis module 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; 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 activity of microorganisms in the fermentation process according to the correlation between oxygen concentration and temperature includes: The oxygen concentration in the monitoring time period constitutes an oxygen monitoring curve, and the temperature in the monitoring time period constitutes 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 value of the temperature during the monitoring period is calculated; and the product of the activity consumption and the average value of the 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 step of combining the temperature change, the adjustment hysteresis of the aeration control system and the activity of the microorganisms to determine the response delay of the aeration control system includes: 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; The time point when the oxygen concentration is most recently lower than the preset oxygen concentration threshold value during the monitoring period is recorded as the first marking moment; The most recent aeration adjustment time point after the first marking time is recorded as the 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; The response delay of the aeration control system is determined according to the temperature extreme difference mean, the adjustment hysteresis and the microbial activity.

4. The organic fertilizer fermentation intelligent aeration control system using nanomolecular membrane according to claim 3 is characterized in that: The step of determining the response delay of the aeration control system according to the temperature extreme difference mean, the adjustment hysteresis and the microbial activity comprises: The product of the temperature extreme difference mean, the adjustment hysteresis and the microbial activity is taken as the response delay of the aeration control system.

5. 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: According to the humidity change of the fermentation pile, the first gas exchange rate of the fermentation pile is determined; according to the carbon dioxide concentration and the ammonia concentration, the second gas exchange rate of the fermentation pile is determined; 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.

6. The organic fertilizer fermentation intelligent aeration control system using nanomolecular membrane according to claim 5, 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 comprises: The maximum point in the humidity monitoring curve composed of humidity is obtained, and the average value of the absolute value of the difference between all adjacent maximum points is calculated, which is recorded as the humidity fluctuation influence value; the negative correlation mapping value of the humidity fluctuation influence value is used as the first gas exchange rate.

7. The organic fertilizer fermentation intelligent aeration control system using nanomolecular membrane according to claim 5, characterized in that: The step of determining the second gas exchange rate of the fermentation pile according to the carbon dioxide concentration and the ammonia concentration comprises: 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 value of the negative correlation mapping is used as the second gas exchange rate of the fermentation pile.

8. The organic fertilizer fermentation intelligent aeration control system using nanomolecular membrane according to claim 5, characterized in that: The step of combining the first gas exchange rate and the second gas exchange rate to determine the comprehensive gas exchange rate of the fermentation pile comprises: 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.

9. The organic fertilizer fermentation intelligent aeration control system using nanomolecular membrane according to claim 1, characterized in that: The step of obtaining a correction coefficient of an aeration control system according to the response delay and the comprehensive gas exchange rate includes: 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 result value as the correction coefficient of the aeration control system; wherein the control error characterizes the change fluctuation of the pH value of the fermentation pile.

10. 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 comprises: The correction coefficient and the proportional gain are multiplied to obtain a corrected proportional gain.

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