Logo-based compound microorganism anaerobic digestion process simulation method and system

Abstract

The invention belongs to the technical field of compound microorganism anaerobic digestion process simulation, and particularly relates to a Logo-based compound microorganism anaerobic digestion process simulation method and a Logo-based compound microorganism anaerobic digestion process simulation system, each microorganism in compound microorganisms is regarded as Turbles in Logo, and nutrient substances are regarded as Patches in Logo; setting initial parameters of microorganisms and nutrient substances; performing an anaerobic digestion process by the compound microorganisms according to a self-adaptive interaction rule; counting and displaying the change of microbial biomass, the change of nutrient substances and the change of metabolites in the anaerobic digestion process of the compound microorganisms; according to different display results, parameters are adjusted, and simulation is repeated; and optimal initial parameters of microorganisms and nutrient substances are selected to guide an actual compound microorganism anaerobic digestion experiment. According to the invention, part of limitations of a heat production model in a compound bacterium pretreatment process in simulation of complex system characteristics of microorganisms in the prior art can be overcome.

Description

Technical Field

[0001] The invention belongs to the technical field of composite microbial anaerobic digestion process simulation, and in particular relates to a composite microbial anaerobic digestion process simulation method and system based on Logo. Background Art

[0002] Mathematical models have been widely used in scientific research and engineering. Establishing a mathematical model in the microbial pretreatment process is important for optimizing process parameters and controlling the process in order to gain a deeper understanding of the reaction mechanism and predict the changes and results of parameters in the process. The quality and heat of materials are interconnected and coupled in the pretreatment process. The relevant mathematical relationship for simulating the changes in the quality and energy of materials in the pretreatment process using the expression of mathematical models is the mass balance equation and energy balance equation in the pretreatment process. The existing models for studying the microbial anaerobic digestion process have the following problems:

[0003] 1) Single microbial population assumption: It assumes that the complex bacteria are treated as a whole to handle their growth, death and degradation capabilities, ignoring the diversity and individual differences of microbial populations in actual systems. The real microbial community is composed of multiple species, and the competition, cooperation and symbiotic relationships between them are complex, which are simplified in the model. Therefore, the model may not be accurate enough when studying the diversity and complexity of complex microbial ecosystems.

[0004] 2) Simplification of environmental factors: The model assumes that temperature and soluble substrate concentration are the only important factors affecting the growth of complex bacteria, excluding environmental variables such as moisture content and oxygen concentration that may have a significant impact on microbial metabolism. Although this simplification helps reduce computational complexity, it limits the study of microbial behavior under more complex environmental conditions and may not capture the dynamic changes of complex bacteria in reality that are affected by multiple factors.

[0005] 3) Ignoring local heterogeneity: The model assumes that the temperature changes uniformly in the reactor, excluding the impact of local temperature differences. However, in the actual microbial degradation process, different areas inside the pile may have different conditions such as temperature, oxygen, and humidity. These heterogeneities have an important impact on the growth and metabolism of microorganisms. Therefore, the model may not be able to fully explain the behavior of microorganisms under heterogeneous conditions.

[0006] 4) Not considering inert substances and secondary metabolites: Although the model focuses on the transformation process of fast and slow degradation substrates, it ignores the impact of inert substances and secondary metabolites generated during microbial metabolism on the system. In actual microbial community metabolism, many complex chemicals are produced, which may have feedback effects on microbial behavior, community structure and environmental conditions, which are not reflected in the model.

[0007] 5) Lack of flexibility for multiple substrates and degradation pathways: The model is mainly targeted at specific types of substrates (such as cellulose, hemicellulose, and lignin in corn stover) and uses fixed degradation pathways and kinetic equations. It has limitations when studying other types of organic matter or more complex degradation processes, and it is difficult to flexibly adapt to the needs of different systems.

[0008] In general, the models in the existing technology have certain simplifications and assumptions when studying the heat production and degradation behavior during the pretreatment process of specific composite bacteria. Therefore, they have limitations when studying more complex and heterogeneous microbial ecosystems and may not be able to capture the diversity, complex environmental factors and microbial community interactions in real systems. Summary of the invention

[0009] In order to solve the above technical problems, the present invention provides a method and system for simulating a composite microbial anaerobic digestion process based on Logo.

[0010] The present invention is implemented by providing a method for simulating a composite microbial anaerobic digestion process based on Logo, comprising the following steps:

[0011] Step 1: Consider each microorganism in the complex microorganism as Turtles in the Logo, and the nutrients as Patches in the Logo;

[0012] Step 2: Set the initial parameters of the microorganism;

[0013] Step 3: Set the initial parameters of nutrients;

[0014] Step 4: The composite microorganisms carry out anaerobic digestion process according to the adaptive interaction rules;

[0015] Step 5: Statistic the changes in microbial biomass, nutrients, and metabolites during the composite microbial anaerobic digestion process and display them in different forms of diagrams;

[0016] Step 6: According to the different display results in step 5, adjust the parameters in steps 2 and 3, and repeat steps 4 and 5;

[0017] Step 7: Select the best initial parameters of microorganisms and nutrients to guide the actual composite microbial anaerobic digestion experiment.

[0018] Preferably, in step 2, the initial parameters of the microorganisms include the shape and color representing each microorganism, the shape and color of the metabolites, the initial number of each microorganism, the initial energy of a single microorganism, the energy consumed by a single microorganism to move once, the lower limit of the energy required for the reproduction of a single microorganism, and the energy value required for a single microorganism to produce metabolites.

[0019] Further preferably, in step 3, the initial parameters of the nutrients include the shape and color representing the nutrients, the initial nutrient content, the energy obtained by the microorganisms from the nutrients per unit time, the mass transfer efficiency of the nutrients, and the nutrient increase within a certain period of time.

[0020] Further preferably, in step 4, the adaptive interaction rules include microbial random movement behavior rules, microbial nutrient acquisition behavior rules, microbial reproduction behavior rules, microbial metabolite generation behavior rules, metabolite movement behavior rules, microbial predation metabolite behavior rules, microbial death confirmation behavior rules and substrate increase behavior rules.

[0021] Further preferably, in step 4:

[0022] The specific rules of random movement of microorganisms are as follows: within a certain period of time, a certain proportion of microorganisms randomly choose a direction and move forward one step, and each movement consumes a certain amount of energy;

[0023] The specific rules of microbial nutrient acquisition behavior are as follows: microorganisms identify nearby nutrients, change the nutrient markers, and add corresponding energy to the microorganisms;

[0024] The specific rules of microbial reproduction behavior are as follows: when the microorganism's own energy is higher than the lower limit of energy required for reproduction, the microorganism reproduces and consumes the corresponding energy value, and the newly born microorganism has initial energy;

[0025] The specific rules for the behavior of microorganisms in generating metabolites are as follows: when the energy of the microorganisms themselves is higher than the energy required to generate metabolites, a certain proportion of microorganisms generate metabolites and consume the corresponding energy value;

[0026] The specific rules of metabolite movement behavior are as follows: each metabolite has a certain probability of choosing to move in a random direction within a certain period of time;

[0027] The specific rules of microbial predation metabolite behavior are as follows: each microorganism in the composite microorganism has a certain probability of preying on nearby metabolites. After predation, the microorganism increases a certain amount of energy, and the corresponding metabolite markers change;

[0028] The specific rules for confirming the death of microorganisms are as follows: check the energy of each microorganism, and confirm the death of microorganisms with energy less than or equal to zero, and remove them;

[0029] The specific rules for nutrient addition behavior are: as the digestion process proceeds, the amount of nutrients is increased within a certain period of time, that is, the sign of the nutrients is changed, and the increased amount is adjusted according to the mass transfer efficiency of the nutrients.

[0030] Further preferably, in the microbial reproduction behavior rule, the reproduction of microorganisms is performed according to the following formula:

[0031] N=N0e μt

[0032] Among them, N is the real-time number of microorganisms, N0 is the initial number of microorganisms, t is time, and μ is the specific growth rate expressed in quantity.

[0033] Further preferably, in step 5, the different forms of diagrams include dynamic process display diagrams, change process curve diagrams and real-time numerical display.

[0034] The present invention also provides a Logo-based composite microbial anaerobic digestion process simulation system. Based on the above simulation method, the simulation system includes the following modules:

[0035] Microorganism initial parameter setting module: used to treat each microorganism in the composite microorganism as Turtles in Logo and set the initial parameters of the microorganism;

[0036] Nutrient initial parameter setting module: used to treat nutrients as Patches in Logo and set the initial parameters of nutrients;

[0037] Composite microorganism adaptive interaction module: used for composite microorganisms to carry out anaerobic digestion process according to adaptive interaction rules;

[0038] Parameter change statistics display module: used to count the changes in microbial biomass, nutrients, and metabolites during composite microbial anaerobic digestion and display them through different forms of graphics.

[0039] Compared with the prior art, the advantages of the present invention are:

[0040] 1) Flexibility of multiple microbial populations: The existing technology regards all microorganisms as a whole in the composite bacteria model, ignoring the differences between different microbial populations. However, the present invention can simulate the interaction of multiple microbial populations, such as competition and cooperation between different species, through multi-agent modeling, and can more accurately reflect the diversity and individual behavior differences of complex microbial ecosystems.

[0041] 2) More complex environmental factors: The prior art assumes that water content and oxygen concentration have little effect on microbial growth, thus simplifying these factors. The present invention allows for the flexible setting of multiple environmental variables, including temperature, oxygen, humidity and other factors, and the ability to observe the effects of their changes on microbial behavior. This makes Netlogo more advantageous when simulating microbial systems under more complex environmental conditions.

[0042] 3) Local heterogeneity simulation: The existing technology assumes that the temperature changes are consistent, but there are often local temperature differences in the actual system. The present invention can simulate a spatially heterogeneous environment, so that the differences in microbial behavior in different regions can be better presented, further enhancing the ability to describe the real system.

[0043] 4) Consideration of secondary metabolites: The existing technology ignores inert substances and secondary metabolites, while the present invention can be expanded to simulate the generation and accumulation of secondary metabolites and observe the feedback effects of these products on microbial communities, providing the ability to study more complex metabolic networks.

[0044] 5) Flexible degradation pathway setting: The existing models focus on fixed cellulose, hemicellulose, and lignin degradation pathways, while the present invention allows users to define and adjust different types of substrates and degradation pathways to adapt to more complex or diverse substrate degradation processes. This makes the present invention more applicable in different organic matter treatment or degradation studies.

[0045] In summary, the present invention can overcome some limitations of the heat production model of the composite bacteria pretreatment process in the prior art in simulating the characteristics of complex microbial systems through its flexible multi-agent modeling, diversity of environmental factors, local heterogeneity simulation and dynamic system feedback. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] Figure 1 This is an interface diagram of the Logo-based composite microbial anaerobic digestion process simulation system provided by the present invention. DETAILED DESCRIPTION

[0047] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0048] The present invention provides a method for simulating a composite microbial anaerobic digestion process based on Logo, comprising the following steps:

[0049] Step 1: Consider each microorganism in the complex microorganism as Turtles in the Logo, and the nutrients as Patches in the Logo;

[0050] Step 2: Set the initial parameters of the microorganism;

[0051] The initial parameters of the microorganisms include the shape and color representing each microorganism, the shape and color of the metabolites, the initial number of each microorganism, the initial energy of a single microorganism, the energy consumed by a single microorganism to move once, the lower limit of the energy required for the reproduction of a single microorganism, and the energy required for a single microorganism to produce metabolites.

[0052] Step 3: Set the initial parameters of nutrients;

[0053] The initial parameters of nutrients include the shape and color representing the nutrients, the initial nutrient content, the energy obtained by microorganisms from nutrients per unit time, the mass transfer efficiency of nutrients, and the amount of nutrients increased within a certain period of time.

[0054] Step 4: The composite microorganisms carry out anaerobic digestion process according to the adaptive interaction rules;

[0055] The adaptive interaction rules include microbial random movement behavior rules, microbial nutrient acquisition behavior rules, microbial reproduction behavior rules, microbial metabolite production behavior rules, metabolite movement behavior rules, microbial predation metabolite behavior rules, microbial death confirmation behavior rules and substrate increase behavior rules.

[0056] The specific rules of random movement of microorganisms are as follows: within a certain period of time, a certain proportion of microorganisms randomly choose a direction and move forward one step, and each movement consumes a certain amount of energy;

[0057] The specific rules of microbial nutrient acquisition behavior are as follows: microorganisms identify nearby nutrients, change the nutrient markers, and add corresponding energy to the microorganisms;

[0058] The specific rules of microbial reproduction behavior are as follows: when the microorganism's own energy is higher than the lower limit of energy required for reproduction, the microorganism reproduces and consumes the corresponding energy value, and the newly born microorganism has initial energy;

[0059] The specific rules for the behavior of microorganisms in generating metabolites are as follows: when the energy of the microorganisms themselves is higher than the energy required to generate metabolites, a certain proportion of microorganisms generate metabolites and consume the corresponding energy value;

[0060] The specific rules of metabolite movement behavior are as follows: each metabolite has a certain probability of choosing to move in a random direction within a certain period of time;

[0061] The specific rules of microbial predation metabolite behavior are as follows: each microorganism in the composite microorganism has a certain probability of preying on nearby metabolites. After predation, the microorganism increases a certain amount of energy, and the corresponding metabolite markers change;

[0062] The specific rules for confirming the death of microorganisms are as follows: check the energy of each microorganism, and confirm the death of microorganisms with energy less than or equal to zero, and remove them;

[0063] The specific rules for nutrient addition behavior are: as the digestion process proceeds, the amount of nutrients is increased within a certain period of time, that is, the sign of the nutrients is changed, and the increased amount is adjusted according to the mass transfer efficiency of the nutrients.

[0064] In the microbial reproduction behavior rules, the reproduction of microorganisms is carried out according to the following formula:

[0065] N=N0e μt

[0066] Among them, N is the real-time number of microorganisms, N0 is the initial number of microorganisms, t is time, and μ is the specific growth rate expressed in quantity.

[0067] Step 5: Statistically analyze the changes in microbial biomass, nutrients, and metabolites during the composite microbial anaerobic digestion process and display them through different forms of diagrams; the different forms of diagrams include dynamic process display diagrams, change process curve diagrams, and real-time numerical displays.

[0068] Step 6: According to the different display results in step 5, adjust the parameters in steps 2 and 3, and repeat steps 4 and 5;

[0069] Step 7: Select the best initial parameters of microorganisms and nutrients to guide the actual composite microbial anaerobic digestion experiment.

[0070] refer to Figure 1 The present invention also provides a Logo-based composite microbial anaerobic digestion process simulation system. Based on the above simulation method, the simulation system includes the following modules:

[0071] Microbial initial parameter setting module: used to treat each microorganism in the composite microorganism as a turtle in Logo s , and set the initial parameters of the microorganisms;

[0072] Nutrient initial parameter setting module: used to treat nutrients as Patches in Logo and set the initial parameters of nutrients;

[0073] Composite microorganism adaptive interaction module: used for composite microorganisms to carry out anaerobic digestion process according to adaptive interaction rules;

[0074] Parameter change statistics display module: used to count the changes in microbial biomass, nutrients, and metabolites during composite microbial anaerobic digestion and display them in different forms of graphics. For details, see Figure 1 , Figure 1In the figure, red represents a-microorganism, yellow represents b-microorganism, green represents nutrients, dark blue represents the metabolites of b-microorganism, and pink represents the metabolites of a-microorganism. The left side simulates the intuitive change of quantity, the right side shows the trend of quantity change, and the top side shows the real-time specific quantity.

Claims

1. A simulation method for composite microbial anaerobic digestion process based on Logo, characterized in that: The following steps are involved: Step 1: Consider each microorganism in the complex microorganism as Turtles in the Logo, and the nutrients as Patches in the Logo; Step 2: Set the initial parameters of the microorganism; Step 3: Set the initial parameters of nutrients; Step 4: The composite microorganisms carry out anaerobic digestion process according to the adaptive interaction rules; Step 5: Statistic the changes in microbial biomass, nutrients, and metabolites during the composite microbial anaerobic digestion process and display them in different forms of diagrams; Step 6: According to the different display results in step 5, adjust the parameters in steps 2 and 3, and repeat steps 4 and 5; Step 7: Select the best initial parameters of microorganisms and nutrients to guide the actual composite microbial anaerobic digestion experiment.

2. The method for simulating the anaerobic digestion process of composite microorganisms based on Logo according to claim 1, characterized in that: In step 2, the initial parameters of the microorganisms include the shape and color representing each microorganism, the shape and color of the metabolites, the initial number of each microorganism, the initial energy of a single microorganism, the energy consumed by a single microorganism to move once, the lower limit of the energy required for the reproduction of a single microorganism, and the energy value required for a single microorganism to produce metabolites.

3. The method for simulating the anaerobic digestion process of composite microorganisms based on Logo according to claim 1, characterized in that: In step 3, the initial parameters of the nutrients include the shape and color representing the nutrients, the initial nutrient content, the energy obtained by the microorganisms from the nutrients per unit time, the mass transfer efficiency of the nutrients, and the nutrient increase within a certain period of time.

4. The method for simulating the anaerobic digestion process of composite microorganisms based on Logo according to claim 1, characterized in that: In step 4, the adaptive interaction rules include microbial random movement behavior rules, microbial nutrient acquisition behavior rules, microbial reproduction behavior rules, microbial metabolite generation behavior rules, metabolite movement behavior rules, microbial predation metabolite behavior rules, microbial death confirmation behavior rules and substrate increase behavior rules.

5. The method for simulating the anaerobic digestion process of composite microorganisms based on Logo according to claim 4, characterized in that: In step 4: The specific rules of random movement of microorganisms are as follows: within a certain period of time, a certain proportion of microorganisms randomly choose a direction and move forward one step, and each movement consumes a certain amount of energy; The specific rules of microbial nutrient acquisition behavior are as follows: microorganisms identify nearby nutrients, change the nutrient markers, and add corresponding energy to the microorganisms; The specific rules of microbial reproduction behavior are as follows: when the microorganism's own energy is higher than the lower limit of energy required for reproduction, the microorganism reproduces and consumes the corresponding energy value, and the newly born microorganism has initial energy; The specific rules for the behavior of microorganisms in generating metabolites are as follows: when the energy of the microorganisms themselves is higher than the energy required to generate metabolites, a certain proportion of microorganisms generate metabolites and consume the corresponding energy value; The specific rules of metabolite movement behavior are as follows: each metabolite has a certain probability of choosing to move in a random direction within a certain period of time; The specific rules of microbial predation metabolite behavior are as follows: each microorganism in the composite microorganism has a certain probability of preying on nearby metabolites. After predation, the microorganism increases a certain amount of energy, and the corresponding metabolite markers change; The specific rules for confirming the death of microorganisms are as follows: check the energy of each microorganism, and confirm the death of microorganisms with energy less than or equal to zero, and remove them; The specific rules for nutrient addition behavior are: as the digestion process proceeds, the amount of nutrients is increased within a certain period of time, that is, the sign of the nutrients is changed, and the increased amount is adjusted according to the mass transfer efficiency of the nutrients.

6. The Logo-based composite microbial anaerobic digestion process simulation method according to claim 5, characterized in that: In the microbial reproduction behavior rules, the reproduction of microorganisms is carried out according to the following formula: N=N0e μt Among them, N is the real-time number of microorganisms, N0 is the initial number of microorganisms, t is time, and μ is the specific growth rate expressed in quantity.

7. The method for simulating the anaerobic digestion process of composite microorganisms based on Logo according to claim 1, characterized in that: In step 5, different forms of diagrams include dynamic process display diagrams, change process curve diagrams and real-time numerical display.

8. The Logo-based composite microbial anaerobic digestion process simulation system is characterized by: Based on the simulation method according to claim 1, the simulation system comprises the following modules: Microorganism initial parameter setting module: used to treat each microorganism in the composite microorganism as Turtles in Logo and set the initial parameters of the microorganism; Nutrient initial parameter setting module: used to treat nutrients as Patches in Logo and set the initial parameters of nutrients; Composite microorganism adaptive interaction module: used for composite microorganisms to carry out anaerobic digestion process according to adaptive interaction rules; Parameter change statistics display module: used to count the changes in microbial biomass, nutrients, and metabolites during composite microbial anaerobic digestion and display them through different forms of graphics.

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