Zero garbage control method and system based on agriculture and cultivation double-circulation mode

Abstract

The invention discloses a zero garbage control method and system based on an agriculture and cultivation double-circulation mode, and relates to the technical field of resource utilization, and the method comprises the steps: employing a chaos degree model to simulate an agriculture and cultivation double-circulation system; the dual-circulation system is a circulation system in which substances and energy are repeatedly utilized through a circulation process, each factor in the chaos degree model is a random variable which is mutually independent and synchronously distributed, and the chaos degree model is a random variable which is mutually independent and synchronously distributed under the condition that each factor is mutually independent and synchronously distributed. Representing a linear probability feature model of the circulation process through the time series data chaos degree of each factor; the factors comprise substances and energy; and optimizing the confusion degree model by taking zero garbage treatment as a target to obtain a control strategy of the dual-circulation system. The resource utilization rate can be increased, and the waste generation amount can be reduced.

Description

Technical Field

[0001] The present application relates to the field of resource utilization technology, and in particular to a zero-waste control method and system based on a dual-circulation model of agriculture and breeding. Background Art

[0002] The resource utilization technology of agricultural and breeding waste is a key link in the transformation of modern agriculture. In the related technologies, most of the waste generated by agriculture and breeding is discarded, and the utilization rate is low. There is an urgent need to improve the resource utilization rate in agriculture and breeding. Summary of the invention

[0003] The purpose of this application is to provide a zero-waste control method and system based on a dual-circulation model of agriculture and breeding, which can improve resource utilization and reduce waste generation.

[0004] To achieve the above objectives, this application provides the following solutions:

[0005] In the first aspect, the present application provides a zero-waste control method based on a dual-cycle model of agriculture and breeding, comprising:

[0006] A chaos model is used to simulate the dual circulation system of agriculture and breeding; the dual circulation system is a circulation system in which matter and energy are reused through a circulation process, and each factor in the chaos model is a random variable that is independent of each other and distributed synchronously. The chaos model is a linear probability characteristic model of the circulation process represented by the chaos degree of the time series data of each factor under the condition that each factor is independent of each other and distributed synchronously; the factors include matter and energy;

[0007] The chaos degree model is optimized with zero waste disposal as the goal, and the control strategy of the double circulation system is obtained.

[0008] Optionally, the chaos degree model is optimized with zero waste treatment as the goal to obtain a control strategy for the dual circulation system, specifically including:

[0009] Based on the set constraints, the Lagrange multiplier method is used to optimize the chaos model with the goal of zero waste disposal, and the control strategy of the double-circulation system is obtained.

[0010] Optionally, the chaos degree model is optimized with zero waste treatment as the goal to obtain a control strategy for the dual circulation system, specifically including:

[0011] Based on the set constraints, the Gaussian least squares method is used to optimize the chaos model with the goal of zero waste disposal, and the control strategy of the dual-circulation system is obtained.

[0012] Optionally, the circulation condition of the dual circulation system is that the output of the agricultural cycle is the input of the breeding cycle, and the output of the breeding cycle is the input of the agricultural cycle.

[0013] Optionally, in the dual-circulation system, agricultural waste is used to be converted into organic fertilizer, biofuel or industrial raw material, and breeding waste is used to be converted into organic fertilizer.

[0014] Optionally, the control measurements include the types and areas of crops planted in the agricultural cycle, and the types and numbers of animals raised in the breeding industry.

[0015] In the second aspect, the present application provides a zero-waste control system based on a dual-circulation mode of agriculture and breeding, and the zero-waste control system based on a dual-circulation mode of agriculture and breeding includes:

[0016] A dual circulation system simulation module is used to simulate the dual circulation system of agriculture and breeding by using a chaos model; the dual circulation system is a circulation system in which matter and energy are reused through a circulation process, and each factor in the chaos model is a random variable that is independent of each other and distributed synchronously. The chaos model is a linear probability characteristic model that represents the circulation process by the chaos degree of the time series data of each factor under the condition that each factor is independent of each other and distributed synchronously; the factors include matter and energy;

[0017] The optimization module is used to optimize the chaos model with the goal of zero waste treatment to obtain the control strategy of the double circulation system.

[0018] Optionally, the optimization module includes a first optimization unit;

[0019] The first optimization unit is used to optimize the chaos model based on set constraints and adopt the Lagrange multiplier method with zero garbage disposal as the goal to obtain the control strategy of the dual-circulation system.

[0020] Optionally, the optimization module includes a second optimization unit;

[0021] The second optimization unit is used to optimize the chaos model based on set constraints and with zero waste disposal as the goal by using Gaussian least squares method to obtain the control strategy of the dual-circulation system.

[0022] Optionally, the circulation condition of the dual circulation system is that the output of the agricultural cycle is the input of the breeding cycle, and the output of the breeding cycle is the input of the agricultural cycle.

[0023] According to the specific embodiments provided in this application, this application discloses the following technical effects:

[0024] The present application provides a zero-waste control method and system based on the dual-circulation model of agriculture and breeding, and adopts a chaos model to simulate the dual-circulation system of agriculture and breeding. Since the chaos model is a simplified linear model, the simulation time is reduced. Through the dual-circulation resource complementary model, the required production capacity can be effectively estimated, and resource waste can be reduced, thereby improving resource utilization and reducing waste generation. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0026] Figure 1 A schematic flow chart of a zero-waste control method based on a dual-cycle model of agriculture and breeding provided in one embodiment of the present application;

[0027] Figure 2 A schematic diagram of a dual circulation mode provided in an embodiment of the present application;

[0028] Figure 3 A schematic diagram of the extended principle of a linear system provided in one embodiment of the present application;

[0029] Figure 4 This is an electromagnetic field diagram. DETAILED DESCRIPTION

[0030] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0031] In order to make the above-mentioned objects, features and advantages of the present application more obvious and easy to understand, the present application is further described in detail below with reference to the accompanying drawings and specific implementation methods.

[0032] This application provides a zero-waste control method based on the dual-cycle model of agriculture and breeding, such as Figure 1 As shown, the zero-waste control method based on the dual-cycle model of agriculture and breeding includes:

[0033] Step 101: Use a chaos model to simulate the dual circulation system of agriculture and breeding; the dual circulation system is a circulation system in which matter and energy are reused through a circulation process, and the factors in the chaos model are random variables that are independent of each other and synchronously distributed. The chaos model is a linear probability characteristic model of the circulation process represented by the chaos degree of the time series data of each factor under the condition that the factors are independent of each other and synchronously distributed; the factors include matter and energy.

[0034] Step 102: Optimize the chaos model with zero waste disposal as the goal to obtain a control strategy for the dual-circulation system.

[0035] This application uses a chaos model to simulate the dual circulation system of agriculture and breeding. Since the chaos model is a simplified linear model, the simulation time is reduced. Through the dual-circulation resource complementarity model, the required production capacity can be effectively estimated and resource waste can be reduced, thereby improving resource utilization and reducing waste generation.

[0036] This application places agriculture and breeding in a closed-loop ecosystem. A closed-loop ecosystem is a system in which matter and energy are reused through circulation, minimizing external input and output, thus forming a self-sustaining system. In this system, waste generated by agriculture and breeding is reused and converted into valuable resources instead of being discarded.

[0037] Resource utilization technology is used in closed-loop ecosystems. Through composting, anaerobic digestion and biomass energy conversion, waste is converted into products such as organic fertilizer and biofuel, which not only reduces the environmental impact of waste, but also increases the recycling rate of resources.

[0038] The random variables of independent identical distribution (IID) in this application refer to that in statistical analysis, each observation value occurs independently and has the same probability distribution. In the technology of resource utilization of agricultural and breeding waste, the use of a double circulation system to generate a large number of samples makes it possible to apply the law of large numbers and establish a probability model based on the IID assumption.

[0039] Independence in independent and identical distribution: the occurrence of each random variable will not affect the occurrence of other random variables. In simple terms, the occurrence or non-occurrence of an event has no effect on the probability of occurrence of other events.

[0040] Identically distributed: All random variables have the same probability distribution. This means they have the same mean, variance, and other statistical properties.

[0041] In an exemplary embodiment, step 102 specifically includes: based on set constraints, using the Lagrange multiplier method to optimize the chaos model with zero waste disposal as the goal, and obtaining a control strategy for the dual-circulation system.

[0042] The Lagrange multiplier method is an optimization method under constraints, which is used to find the optimal balance between multiple objectives. In the resource utilization of agricultural and breeding waste, it can help maximize resource utilization efficiency while taking into account the impact on the ecological environment and ensuring sustainability.

[0043] Lagrange multipliers are used to understand how to make the best decisions to achieve a certain goal while adhering to certain rules or constraints given limited resources.

[0044] This application requires finding a solution that maximizes agricultural output while ensuring that ecosystem services (such as soil and water conservation and biodiversity protection) are not harmed. The Lagrange multiplier is actually used to determine how much the objective function (such as total output) will lose when the resource allocation deviates slightly from the optimal state. This is like when planning land use, for every additional hectare of arable land, a certain amount of forest cover must be reduced. The Lagrange multiplier tells you what the "cost" of this exchange is. Ecologists interpret the Lagrange multiplier method as a practical tool for seeking balance and optimization in resource management.

[0045] In an exemplary embodiment, step 102 specifically includes: based on set constraints, using Gaussian least squares method to optimize the chaos model with zero waste disposal as the goal, and obtaining a control strategy for the dual-circulation system.

[0046] In statistical modeling, the least squares method is used to find the best fit model by minimizing the sum of squares of the residuals between the observed values ​​and the model predicted values. This method can be applied to data modeling and optimization in the resource utilization of agricultural and aquaculture waste.

[0047] Since the dual-circulation system leads to overfitting, its local and global optimal solutions are consistent. Local and global refer to the time, space and scope of influence during optimization, including the characteristics, behaviors and their interrelationships used to distinguish things or phenomena at different scales, such as a ranch farm or ranches and farms within an autonomous region. The least squares method proposed by Gauss can be combined with the method of linear regression model parameters to simplify model calculations. This method is to find the best fitting linear model by minimizing the sum of squares of the residuals (that is, the sum of squares of the differences between the observed values ​​and the model predicted values).

[0048] The circulation condition of the double circulation system is that the output of the agricultural cycle is the input of the breeding cycle, and the output of the breeding cycle is the input of the agricultural cycle.

[0049] In the dual-circulation system, agricultural waste is used to be converted into organic fertilizer, biofuel or industrial raw material, and breeding waste is used to be converted into organic fertilizer.

[0050] The dual circulation model of agriculture and breeding in this application emphasizes the interdependence between agriculture and breeding, where the waste of one side becomes the resource of the other side, forming an efficient self-sufficient system. In this dual circulation model, the two circulation systems are constantly alternating to establish the interleaving of time series data. By calculating the chaos or entropy of the time series data, the probability characteristic function calculation can be simplified and the system can be accurately controlled to achieve the best operating state.

[0051] In agriculture and animal husbandry, waste such as straw and animal manure are often regarded as garbage, often eventually turning into carbon dioxide into the air, causing the greenhouse effect, but in fact, they are all valuable resources. Agricultural waste can be converted into organic fertilizer, biofuel, and even industrial raw materials; while animal husbandry waste can be turned into high-quality organic fertilizer for use in farmland.

[0052] This application introduces a dual-circulation mode, which uses an overfitting similar to artificial intelligence to bring about an accurate control system. The dual-circulation mode combines agriculture and breeding to form a closed-loop system, so that resources can be recycled and no longer produce waste. In this system, agricultural waste is processed and turned into organic fertilizer, which is supplied to farmland and improves soil fertility; at the same time, breeding waste is also converted into organic fertilizer and put into farmland again, forming a closed loop. Not only that, organic fertilizer can also be used to breed earthworms, and the protein produced by earthworms can be used as food for livestock, and the feces of livestock can be used as organic fertilizer again and returned to the field. In this way, resources are maximized and waste is reduced. This system is based on the stable probability distribution and overfitting process generated under the dynamic dual-circulation system to establish a complete dual-circulation mathematical model based on overfitting. The two bring an accurate backtracking system, which can easily find the source of garbage. As long as error correction is continuously performed and the entire model is adjusted, losses can be reduced, efficiency can be improved, and zero garbage can be achieved in the end.

[0053] In the dual circulation model, one is to recycle agricultural waste into agricultural production, and the other is to recycle aquaculture waste into aquaculture.

[0054] Ways to utilize agricultural waste (straw) as a resource:

[0055] (1) It can be used as industrial raw material to produce crude wood pulp (cellulose) and packaging boxes.

[0056] (2) Can be used as fuel: barbecue charcoal and biomass pellets, used for heating in greenhouses, pens, and independent houses.

[0057] (3) Returning straw to the fields increases soil organic fertilizer, but there is an appropriate amount of straw to be returned to the fields, and not all of it should be returned.

[0058] (4) Made into organic fertilizer.

[0059] There are two industries: agricultural waste and aquaculture waste. Agricultural waste has a high carbon-nitrogen ratio (C / N), while aquaculture waste has a low C / N ratio. They can be made into organic fertilizers by combining them.

[0060] In the process of resource utilization of agricultural waste, organic fertilizer enters agricultural production, improves soil fertility, improves the quality of agricultural products, and straw is used to make organic fertilizer.

[0061] In the process of resource utilization of breeding waste, earthworms are raised with organic fertilizer, and omnivorous livestock are fed with earthworm protein, and the livestock manure and urine are returned to the fields as organic fertilizer. The two cycles complement each other, and the goal of zero waste is achieved in the cross-entry and intricate design. This application uses a dual cycle for two reasons: one is that the system can run continuously, and the probability of stopping in the middle is reduced by 30%; the second is that the system can self-update, that is, under the condition that one cycle is stopped and updated, the other cycle can continue to maintain operation. The core of the dual-cycle model lies in "precise control" and "recycling". Through intelligent technology, this application can accurately manage the flow of waste to ensure that every resource is fully utilized and there is no waste.

[0062] This application uses computer optimization and a hybrid method to interlace the cycle process of agriculture and animal husbandry, that is, a dual cycle mode, which is expressed as A(x, y)B(y, x), where A(x, y) represents the agricultural cycle, B(y, x) represents animal husbandry, x, y are the cycle directions of agriculture, y, x are the cycle directions of animal husbandry, x and y represent the minimum input and output values, respectively, and more specifically, x is the input value of agriculture and the output value of animal husbandry, and y is the input value of animal husbandry and the output value of agriculture, such as fertilizer usage, wheat yield, or feed usage, milk yield, which can also be expressed as x, y, z. Then until agriculture and animal husbandry are synchronized as a whole, the cycle is realized. The cycle condition is A(x, y) = B(y, x), that is, x, y or the cycle direction of agriculture is balanced with y, x or the cycle direction of animal husbandry, bringing about the cyclic operation of the agricultural and animal husbandry processes. This produces a fixed distribution, and a linear parameter model can be used to simulate, emulate and optimize the system. This optimization process can be done using the Lagrange multiplier method, or more simply, the Gaussian least squares method. Since this double-cycle model easily generates a large number of samples, including good agricultural practices (GAP) for poultry, cattle, sheep, dairy cows, pigs, etc., and soil, water, fertilizer, pest control, etc., through the law of large numbers, each factor becomes an independent and identically distributed random variable (IID), and a linear probability characteristic model is established under the assumption of independent and identical distribution. This is the fitting model of the degree of chaos.

[0063] The optimization process of this application uses a probability characteristic function, which is also called a characteristic function or the application of Fourier transform in probability theory. The probability characteristic function is an important tool used in probability theory and statistics to describe the probability distribution of random variables. The probability characteristic function converts the probability density function or probability mass function of a random variable into the frequency domain through Fourier transform, providing a method for studying the characteristics of random variables in the frequency domain. This application uses the method of chaos fitting to calculate the probability characteristic function.

[0064] This application uses computer programs to optimize based on chaos, entropy and probability characteristic functions, which can achieve precise control of the resource utilization process of agricultural and breeding waste, ensure efficient use of resources and minimize environmental impact, while promoting the sustainability of agricultural production.

[0065] The control measurements include the types and areas of crops planted in the agricultural cycle, and the types and numbers of animals raised in the livestock industry.

[0066] The core of this application is to build a closed-loop ecosystem optimized by computer programs, such as Figure 2 As shown, agricultural waste such as crop residues and straw, and breeding waste such as livestock and poultry manure are no longer a burden, but an important source of organic matter.

[0067] Through scientific and reasonable methods, such as composting, anaerobic digestion, biomass energy conversion, etc., these wastes can be converted into organic fertilizers, biofuels or other usable products. The reuse of organic fertilizers enhances soil fertility and promotes crop growth, while reducing dependence on chemical fertilizers and reducing the environmental impact of agricultural production. The production of biofuels opens up new energy paths and helps reduce fossil fuel consumption and greenhouse gas emissions.

[0068] The zero-waste control method of the dual-cycle model of agriculture and breeding adopted in this application is actually imitating the ecological cycle of nature, that is, materials are constantly circulating in the ecosystem, and there is no real "waste". This model emphasizes the synergy between agriculture and breeding, where the waste of one party becomes the resource of the other, forming an efficient and self-sufficient system. For example, breeding waste can be used as organic fertilizer in agriculture, and agricultural waste can be used as feed raw materials or energy sources in the breeding industry.

[0069] The closed-loop system design of this application not only helps to achieve the goal of zero waste discharge, but also improves the overall health of the ecosystem, protects biodiversity and ecological service functions, such as water conservation, air purification, soil conservation, etc. Ultimately, this agricultural and breeding waste resource utilization technology will lay a solid foundation for achieving environmentally friendly sustainable development, conform to the development direction of green agriculture, and be conducive to building an ecological civilization society.

[0070] The purpose of this application is to establish a dual-circulation system for agricultural breeding that can achieve the goal of zero waste. The two sides are cyclic processes, and the middle is an information bottleneck, which brings about a linear distribution, a distribution of each row and its class. Through overfitting, the goal of zero deviation or zero waste is achieved.

[0071] This application proposes a stable probability distribution and overfitting process based on a dynamic dual-loop system to establish a complete dual-loop mathematical model. The two bring a backtracking system, which can easily find the reasons for failure to achieve zero waste. As long as error correction is continuously performed, losses can be reduced, efficiency can be improved, and zero waste can be truly achieved.

[0072] In an exemplary embodiment, step 1: the present application uses a linear relationship to run the disorder model, and the disorder can be calculated using C-transformation. C-transformation is a method proposed in the invention patent application with publication number CN116468023A, entitled A method, device and medium for constructing an artificial intelligence dialogue system based on C-transformation. In the cycle process, a linear parameter model is established through the disorder, and the various parameters of the dual-loop system are adjusted according to the results of the parameter model fitting until the amount of garbage is reduced.

[0073] The combined part of the dual cycle (such as organic fertilizer) can also be regarded as such a system, that is, the local and global satisfy F(a)+F(b)=F(a+b), where F is the chaos function. a and b represent the scope of the farm. Local and global refer to the time, space and scope of influence during optimization, including the characteristics, behaviors and mutual relationships of things or phenomena at different scales of time, space and scope of influence, such as a ranch farm or a ranch and farm within the scope of an autonomous region. In the case of continuity, mathematical reasoning can prove that it is a linear system. In the case of discontinuity, it is a monotonically recursive Nash equilibrium system with fixed points. In the Nash equilibrium system, when one parameter is optimal, it satisfies the optimality of all parameters, which is a system that can be recursively optimized. Since it is proved later that the system can be regarded as a quantum system, the quantum unit is small enough, and the result is approximately a continuous system. In achieving the goal of zero waste, the process of continuous system and discontinuous system is consistent.

[0074] Step 2: This application uses chaos to simulate the entire process, and then uses chaos to fit the actual value of the model. Using a chaos model can greatly save the time of random simulation of the system, because the chaos can be directly fitted to the curve according to the Taylor expansion. In fact, since the chaos model is the superposition of countless small chaotic systems, it looks nonlinear, thereby obtaining a nonlinear linkage mechanism. The specific process is as follows:

[0075] The loops on both sides can be seen as an extension of a linear system, and they appear to be nonlinear, such as Figure 3 As we can see, in fact, since the chaos model is the superposition of countless small linear systems, it looks nonlinear.

[0076] Compared with nonlinear systems, linear systems are easier to handle and convenient to calculate. In modeling, instead of using nonlinear systems for modeling, this application uses a chaos model to simplify the system into a linear system. According to the relationship in the above figure, a hyperbola is obtained, that is, F(x, y) = xy, where x and y refer to the two most simplified double-circulation parameters, such as nutrient value and sunlight exposure. Using calculus, we can get the derivative of the function F: dF = xdy + ydx, where each small segment is a linear relationship, and Figure 3 Consistent performance.

[0077] If the C-transformation is used to represent the disorder, each relationship can be expressed by the Taylor expansion of the disorder of each factor, and the relationship between the disorder of each factor in the double cycle diagram is a linear relationship. This linear relationship facilitates the subsequent modeling, fitting and inverse process.

[0078] The double loop can also be regarded as the inner and outer circulation systems of the blackbody furnace. Since the double loop brings about the oscillation process of the radiation of the blackbody furnace, only radiation of a certain wavelength can enter and exit the system. According to Planck's theory, it can only be described by quantum, thereby obtaining a segmented constraint relationship, which brings about an approximate least squares method. Due to the overfitting mentioned above, the approximate result of the Lagrange multiplier method is obtained. The specific steps are as follows: The double loop can also be regarded as the inner and outer circulation systems of the blackbody furnace. Since the double loop brings about the oscillation process of the radiation of the blackbody furnace, only radiation of a certain wavelength can enter and exit the system. According to Planck's theory, it can only be described by quantum. It is known that a quantum is a very small unit hv, where h is the Planck constant, which is 6.62607015×10 -34 JS, v is the photon frequency. So the number of quanta is very large, and its disorder, or entropy, is approximately NlogN, and its derivative is (NlogN)'=1+logN, and its second-order derivative is Since N is very large, the derivative after the second order is approximately 0, indicating that this is a linear system that approximates a linear function N.

[0079] Step 3: After obtaining the calculation results of the chaos degree, use the method of reverse estimation of the system parameter values ​​to establish the system equation and its balance and complementarity analysis, and analyze the rationality of the measures. Chaos degree refers to the unknown or undetermined influencing factors used when optimizing the dual circulation, and its value represents an implicit assumption. The specific steps are as follows:

[0080] The double-loop system can be viewed as the operation of particles with a very large linear number N of disorder in the system. Since the disorder of particles changes in a linear relationship, it brings about a segment constraint relationship. Assuming that each segment Satisfies F'(x) = ax + b, so the total is the integral, The Taylor expansion is known to be:

[0081] According to the constraint formula above, we know that the chaos degree must be a constant to be determined. In other words, the cyclic system can be subdivided into small enough parts and simulated with an absolute number N to achieve a steady state, that is, to obtain a constant relationship, which is the equation expressing the chaos degree.

[0082] Step 4: After reaching the steady state, since the chaos model can be regarded as a system of particles with a linear number of changes in chaos, we can get a relationship in which all the unknown parameters are constants. By deducing in reverse, we can get the constant-based constraint terms of equilibrium, and thus obtain a stable equilibrium relationship based on constants under this constraint. Due to the linear relationship of chaos, according to Nash equilibrium, the goal of zero waste is achieved. Zero waste is a concept that aims to minimize waste in the agricultural production process by optimizing resource use, reducing waste generation, and maximizing resource recovery and reuse. This application not only focuses on reducing solid waste, but also considers and optimizes water resource management, energy efficiency, and reducing greenhouse gas emissions. Including some key strategies and technologies: nutrient cycling, water cycling, intelligent monitoring, by-product reuse, and so on.

[0083] After reaching steady state, since the disorder model can be regarded as a system of particles with a linearly changing disorder, we can get a relationship in which all the unknown parameters are constants. By deducing in reverse, we can get the constant-based constraint term of equilibrium. Under this constraint, we get a stable equilibrium relationship based on constants. When the absolute number N is large enough and the segment is small enough, for example, less than Planck's constant 6.62607015×10-34, the circulation flow of system particles is quantum units and cannot be divided any further. The constant obtained satisfies the law of integers, that is, F(N)=NF(1). Since N is large enough and F(N) is finite, F(1) is small enough, until it reaches zero, achieving the goal of zero garbage. This is achieved by relying on the Lagrange multiplier method to solve the parameter calculation problem.

[0084] The current dual circulation system of agriculture and breeding industry cannot accurately find the numerical values ​​of parameters, such as total agricultural output and total number of livestock, which may lead to the inability to achieve zero waste control. Therefore, this application proposes to use the dual circulation process combined with the Lagrange multiplier method. By analogy with the quantity types that are difficult to accurately define in the circulation system to the data constraint items in the Lagrange multiplier method, and through the analysis and modeling of probability theory combined with quantum physics, a complete and easy-to-analyze and calculate dual circulation system solution for agriculture and breeding industry is finally obtained, so that relevant personnel can quickly and accurately achieve zero waste control of the dual circulation system.

[0085] The agricultural breeding dual circulation system can be compared to an electromagnetic field model to obtain a continuous cycle process. In this cycle, a linear parameter model is established through the degree of chaos to achieve dissipative structure and self-organization. The specific process is as follows: The agricultural breeding dual circulation system can be regarded as an information bottleneck, just like Figure 2 For the organic fertilizer part, use Figure 4 An analogy is given by a diagram of the electromagnetic field.

[0086] Depend on Figure 4It can be seen that there are cyclic processes on both sides and an information bottleneck in the middle, which leads to linear distribution and distribution of different types. It may be a linear distribution, or it may be a chaotic or MCMC (Markov Chain Monte Carlo) distribution. In short, it satisfies the fusion relationship between the local and the global. The information bottleneck here refers to maximizing mutual information, that is, maximizing the mutual information I(X; Y) between the input X and the output Y, while minimizing the mutual information I(X; T) between the input X and the representation T. The information bottleneck is achieved by expanding the information on both sides and compressing the information in the middle. Information "compression" refers to removing the task-irrelevant or redundant information in the input data during the data representation or encoding process, leaving the most relevant features to the task. In other words, this means reducing the complexity or dimension of data representation while retaining the correlation between the input data and the output (or target).

[0087] Specifically, information compression is the process of enhancing or expanding the relevance of data representation to the target compression in some way, which is usually achieved indirectly during the information compression process. When irrelevant information is removed, the remaining information becomes more concentrated and focused, which in turn can also be seen as a form of information "expansion".

[0088] The agricultural recycling dual circulation system of the present application can increase the output of agricultural products and livestock products without bringing about a negative garbage effect. Since the system works through two circulation systems, which is equivalent to a main circulation and a backup circulation, the two constitute the main and auxiliary systems, ensuring the efficiency of the normal operation of the system. In addition, the system can also achieve zero garbage through an effective garbage removal mechanism. The system effectively estimates the required production capacity, reduces waste, and eliminates garbage through the mechanism of complementary circulation. Although this is only a partial reflection system, according to the theory of inbreeding, under the premise of satisfying consistent symmetry, it continues to circulate, and the local and global are consistent. That is to say, only a partial model here can reflect the need for the system to achieve the global goal of zero garbage.

[0089] Based on the same inventive concept, the embodiment of the present application also provides a zero-waste control system based on the dual-circulation mode of agriculture and breeding for realizing the zero-waste control method based on the dual-circulation mode of agriculture and breeding involved above. The implementation scheme for solving the problem provided by the system is similar to the implementation scheme recorded in the above method, so the specific limitations in one or more embodiments of the zero-waste control system based on the dual-circulation mode of agriculture and breeding provided below can be referred to the limitations of the zero-waste control method based on the dual-circulation mode of agriculture and breeding above, and will not be repeated here.

[0090] In an exemplary embodiment, the present application provides a zero-waste control system based on a dual-cycle mode of agriculture and breeding, including:

[0091] A dual circulation system simulation module is used to simulate the dual circulation system of agriculture and breeding by using a chaos model; the dual circulation system is a circulation system in which matter and energy are reused through a circulation process, and the factors in the chaos model are random variables that are independent of each other and distributed synchronously. The chaos model is a linear probability characteristic model of the circulation process represented by the chaos degree of the time series data of each factor under the condition that the factors are independent of each other and distributed synchronously; the factors include matter and energy.

[0092] The optimization module is used to optimize the chaos model with the goal of zero waste treatment to obtain the control strategy of the double circulation system.

[0093] The optimization module includes a first optimization unit; the first optimization unit is used to optimize the chaos model based on set constraints and the Lagrange multiplier method with the goal of zero garbage disposal to obtain the control strategy of the dual-circulation system.

[0094] The optimization module includes a second optimization unit; the second optimization unit is used to optimize the chaos model based on set constraints and with zero garbage disposal as the goal, thereby obtaining a control strategy for the dual-circulation system.

[0095] The circulation condition of the double circulation system is that the output of the agricultural cycle is the input of the breeding cycle, and the output of the breeding cycle is the input of the agricultural cycle.

[0096] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0097] This article uses specific examples to illustrate the principles and implementation methods of this application. The description of the above embodiments is only used to help understand the method and core ideas of this application. At the same time, for those skilled in the art, according to the ideas of this application, there will be changes in the specific implementation methods and application scope. In summary, the content of this specification should not be understood as limiting this application.

Claims

1. A zero-waste control method based on the dual-circulation model of agriculture and breeding, characterized in that: The zero-waste control method based on the dual-cycle model of agriculture and breeding includes: A chaos model is used to simulate the dual circulation system of agriculture and breeding; the dual circulation system is a circulation system in which matter and energy are reused through a circulation process, and each factor in the chaos model is a random variable that is independent of each other and distributed synchronously. The chaos model is a linear probability characteristic model of the circulation process represented by the chaos degree of the time series data of each factor under the condition that each factor is independent of each other and distributed synchronously; the factors include matter and energy; The chaos degree model is optimized with zero waste disposal as the goal, and the control strategy of the double circulation system is obtained.

2. The zero-waste control method based on the dual-circulation mode of agriculture and breeding according to claim 1 is characterized in that: The chaos degree model is optimized with zero waste treatment as the goal, and the control strategy of the dual circulation system is obtained, which specifically includes: Based on the set constraints, the Lagrange multiplier method is used to optimize the chaos model with the goal of zero waste disposal, and the control strategy of the double-circulation system is obtained.

3. The zero-waste control method based on the dual-circulation mode of agriculture and breeding according to claim 1 is characterized in that: The chaos degree model is optimized with zero waste treatment as the goal, and the control strategy of the dual circulation system is obtained, which specifically includes: Based on the set constraints, the Gaussian least squares method is used to optimize the chaos model with the goal of zero waste disposal, and the control strategy of the dual-circulation system is obtained.

4. The zero-waste control method based on the dual-circulation mode of agriculture and breeding according to claim 1 is characterized in that: The circulation condition of the double circulation system is that the output of the agricultural cycle is the input of the breeding cycle, and the output of the breeding cycle is the input of the agricultural cycle.

5. The zero-waste control method based on the dual-circulation mode of agriculture and breeding according to claim 1 is characterized in that: In the dual-circulation system, agricultural waste is used to be converted into organic fertilizer, biofuel or industrial raw material, and breeding waste is used to be converted into organic fertilizer.

6. The zero-waste control method based on the dual-circulation mode of agriculture and breeding according to claim 1 is characterized in that: The control measurements include the types and areas of crops planted in the agricultural cycle, and the types and numbers of animals raised in the livestock industry.

7. A zero-waste control system based on the dual-circulation mode of agriculture and breeding, characterized in that: The zero-waste control system based on the dual-circulation mode of agriculture and breeding includes: A dual circulation system simulation module is used to simulate the dual circulation system of agriculture and breeding by using a chaos model; the dual circulation system is a circulation system in which matter and energy are reused through a circulation process, and each factor in the chaos model is a random variable that is independent of each other and distributed synchronously. The chaos model is a linear probability characteristic model that represents the circulation process by the chaos degree of the time series data of each factor under the condition that each factor is independent of each other and distributed synchronously; the factors include matter and energy; The optimization module is used to optimize the chaos model with the goal of zero waste treatment to obtain the control strategy of the double circulation system.

8. The zero-waste control system based on the dual-circulation mode of agriculture and breeding according to claim 7 is characterized in that: The optimization module includes a first optimization unit; The first optimization unit is used to optimize the chaos model based on set constraints and adopt the Lagrange multiplier method with zero garbage disposal as the goal to obtain the control strategy of the dual-circulation system.

9. The zero-waste control system based on the dual-circulation mode of agriculture and breeding according to claim 7 is characterized in that: The optimization module includes a second optimization unit; The second optimization unit is used to optimize the chaos model based on set constraints and with zero waste disposal as the goal by using Gaussian least squares method to obtain the control strategy of the dual-circulation system.

10. The zero-waste control system based on the dual-circulation mode of agriculture and breeding according to claim 7, It is characterized in that The circulation condition of the double circulation system is that the output of the agricultural circulation is the input of the breeding circulation. The output of the breeding cycle is the input of the agricultural cycle.

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