Comprehensive prevention and control method for parasites and pathogenic bacteria in pig breeding manure

Abstract

The invention relates to the technical field of live pig excrement prevention and control, in particular to a comprehensive prevention and control method for parasites and pathogenic bacteria in live pig breeding excrement, which comprises the following steps: acquiring excrement data and environment data of different radiuses around an excrement pool by using a sensor; based on excrement data and environmental data, introducing the diffusion influence of wind speed on parasites and pathogenic bacteria into a diffusion-competition equation to form a convection-diffusion equation, and constructing a parasites and pathogenic bacteria propagation equation; based on a parasite and pathogenic bacterium propagation equation, introducing a mutation theory to construct a double-variable potential function to identify and predict an outbreak mutation point of the parasite and pathogenic bacterium; and based on the predicted outbreak abrupt change point, establishing an early warning strategy and implementing intervention measures. According to the comprehensive prevention and control method for the parasites and the pathogenic bacteria in the pig breeding excrement, a double-variable potential function is constructed based on a mutation theory to recognize the transmission critical state of the parasites and the pathogenic bacteria, and when environment variables can affect mutant outbreak of the parasites and the pathogenic bacteria is predicted.

Description

Technical Field

[0001] The present invention relates to the technical field of pig excrement prevention and control, and in particular to a method for comprehensive prevention and control of parasites and pathogenic bacteria in pig excrement. Background Art

[0002] The integrated prevention and control method for parasites and pathogens in pig feces aims to predict the transmission trend of parasites and pathogens and identify possible mutation outbreaks. By constructing a bivariate potential function based on mutation theory and combining the Hessian matrix to predict and calculate the outbreak mutation point, the nonlinear effect of environmental variables on pathogen transmission can be controlled, and early warning can be issued before a large-scale outbreak of pathogens and precise intervention measures can be taken to reduce the risk of disease transmission and improve the biosafety of pig farms.

[0003] Existing comprehensive prevention and control methods for pig manure usually only monitor the concentration of pathogens in real time, and it is difficult to comprehensively consider the impact of wind speed and environment on the spread of parasites or pathogens, which will result in sudden growth. In addition, nonlinear jump burst mutations will occur at a certain time and place in the parasite-pathogen ecosystem. Such nonlinear jump burst mutations are short-term and difficult to observe only from sensor data, which will lead to the inability to take timely response strategies before the parasite-pathogen burst mutation. Therefore, a comprehensive prevention and control method for parasites and pathogens in pig manure is provided. Summary of the invention

[0004] The purpose of the present invention is to provide a comprehensive prevention and control method for parasites and pathogens in pig breeding manure, so as to solve the problem proposed in the above background technology that nonlinear jump burst mutations may occur in the parasite-pathogen ecosystem at a certain time and place. This nonlinear jump burst mutation is short-term and difficult to observe only from sensor data, which may lead to the inability to take timely response strategies when parasites-pathogens burst mutations occur.

[0005] To achieve the above object, the present invention provides a method for comprehensive prevention and control of parasites and pathogenic bacteria in pig feces, comprising the following steps: S1, with the feces pool as the center, use sensors to collect feces data and environmental data at different radii around the feces pool; S2. Based on fecal data and environmental data, the effect of wind speed on the diffusion of parasites and pathogens is introduced into the diffusion-competition equation to form a convection-diffusion equation, and a parasite and pathogen propagation equation is constructed to analyze the dynamic growth evolution of parasites and pathogens in feces due to the environment; S3. Based on the propagation equation of parasites and pathogens, the mutation theory is introduced to construct a bivariate potential function to identify and predict the outbreak mutation points of parasites and pathogens in space; S4. Establish early warning strategies and implement intervention measures based on the predicted outbreak mutation points.

[0006] As a further improvement of the present technical solution, in S1, the feces data includes parasite density and pathogen concentration ; Environmental data including temperature ,humidity , wind speed And feces accumulation time ; in, is the radius centered on the manure pond; For time.

[0007] As a further improvement of the technical solution, in S2, based on the feces data and environmental data, the effect of wind speed on the diffusion of parasites and pathogens is introduced into the diffusion-competition equation to form a convection-diffusion equation to construct a parasite and pathogen propagation equation. The specific method steps are as follows: S2.1. Introduce the effect of wind speed on the diffusion of parasites and pathogens into the traditional diffusion-competition equation and construct the convection-diffusion equation; S2.2. Use the temperature, humidity and feces accumulation time in the environment to optimize the nonlinear growth function of parasites and pathogens in the convection-diffusion equation; S2.3. Obtain the final parasite and pathogen transmission equation.

[0008] As a further improvement of the technical solution, in S2.1, the effect of wind speed on the diffusion of parasites and pathogens is introduced into the traditional diffusion-competition equation to construct a convection-diffusion equation. The specific method steps are as follows: S2.1.1. Radius centered on the manure pond and time The traditional diffusion-competition equation is as follows: ; in, is the parasite density, which is mathematically equivalent to ; is the concentration of pathogenic bacteria, which is mathematically equivalent to ; is the parasite density over time Rate of change; The density of pathogens over time Rate of change; is the parasite spread rate; is the pathogen diffusion rate; is the Laplacian operator of the parasite space; is the Laplace operator of the pathogenic bacteria space; It is a competitive inhibitor between parasites and pathogenic bacteria; is the nonlinear growth function of the parasite; is the nonlinear growth function of pathogenic bacteria; is the temperature, which is mathematically equivalent to ; is humidity, which is mathematically equivalent to ; is the feces accumulation time, which is mathematically equivalent to ; S2.1.2. In pig manure, the wind speed The influence on the diffusion of parasites and pathogens is introduced into the traditional diffusion-competition equation for optimization, with the radius centered on the feces pool and time Next, construct the convection-diffusion equation affected by wind speed: ; in, is the wind speed, which is mathematically equivalent to ; is the effect of wind speed on the convective transport of parasites; is the effect of wind speed on the convective transport of pathogenic bacteria; in, and The wind speed and the flow path of the parasites and pathogens were calculated using the Navier-Stokes equation.

[0009] As a further improvement of the technical solution, in S2.2, the temperature, humidity and feces accumulation time in the environment are used to optimize the nonlinear growth function of parasites and pathogenic bacteria in the convection-diffusion equation. The specific method is as follows: ; ; in, is the maximum growth rate of the parasite; is the maximum growth rate of pathogenic bacteria; The environmental carrying capacity for parasites; The environmental carrying capacity for pathogenic bacteria; The effect of temperature on parasite reproduction; The effect of humidity on parasite reproduction; The effect of fecal accumulation time on parasite reproduction; The effect of temperature on the reproduction of pathogenic bacteria; The effect of humidity on the growth of pathogenic bacteria; The effect of feces accumulation time on the reproduction of pathogenic bacteria.

[0010] As a further improvement of the technical solution, in S2.3, the final parasite and pathogenic bacteria transmission equation is obtained, which is as follows: ; The parasite and pathogenic bacteria transmission equation is obtained based on the optimization of wind speed, competition between parasites and pathogenic bacteria, and environmental factors, and is used to analyze the dynamic growth evolution of parasites and pathogenic bacteria in feces due to the environment.

[0011] As a further improvement of the present technical solution, in S3, based on the parasite and pathogen propagation equation, the mutation theory is introduced to construct a bivariate potential function to identify and predict the outbreak mutation points of parasites and pathogens in space. The specific method steps are as follows: S3.1. Based on the parasite and pathogen transmission equation, the mutation theory is introduced to construct a bivariate potential function; S3.2. Based on the bivariate potential function, calculate the Hessian matrix and the mutation critical value to determine the outbreak mutation point.

[0012] As a further improvement of the technical solution, in S3.1, based on the parasite and pathogenic bacteria transmission equation, the mutation theory is introduced to construct a bivariate potential function. The specific method steps are as follows: S3.1.1. Map the parameters in the parasite and pathogen transmission equations to the parameter terms in the bivariate potential function: ; ; ; ; ; ; ; ; ; ; in, is the parasite state variable; is the pathogen state variable; The time of feces accumulation after mapping; is the wind speed after mapping; To affect the parasite state variables environmental factors; To affect the pathogen state variables environmental factors; is the parasite growth rate; is the growth rate of pathogenic bacteria; The competitive inhibition of parasites on pathogenic bacteria; The competitive inhibition of pathogenic bacteria on parasites; S3.1.2. Construct a bivariate potential function based on the catastrophe theory: ; in, is a bivariate potential function, For the stable growth pattern of the parasite; It is a stable growth pattern for pathogenic bacteria; and The effects of temperature, humidity, and feces accumulation time on parasite growth; The competitive relationship between parasites and pathogenic bacteria; It is the external growth force of pathogenic bacteria.

[0013] As a further improvement of the technical solution, the S3.2, based on the bivariate potential function, calculates the Hessian matrix and the mutation critical value to determine the outbreak mutation point, and the specific method steps are as follows: S3.2.1. Calculate the Hessian matrix: ; in, is the Hessian matrix; Hessian Matrix The determinant of is: ; When the Hessian matrix The determinant of When , mutation growth may occur when the environmental parameters meet the critical conditions; S3.2.2. Calculate the mutation threshold of environmental variables: ; in, is the mutation critical value of the environmental variable, that is, the outbreak mutation point.

[0014] As a further improvement of this technical solution, in S4, the early warning strategy and implementation intervention measures are as follows: when , then the risk of pathogen transmission is low and no intervention is required; when , the system enters the critical state before the mutation and starts the early warning; when , the mutation has occurred.

[0015] Compared with the prior art, the present invention has the following beneficial effects: 1. In the comprehensive prevention and control method of parasites and pathogens in pig farming manure, environmental factors such as wind speed are taken into account in the dynamic propagation of parasites and pathogens. Based on the traditional diffusion-competition equation, a parasite and pathogen propagation equation is constructed to analyze the impact of the environment on the dynamic growth and evolution of parasites and pathogens in feces.

[0016] 2. In the comprehensive prevention and control method of parasites and pathogens in pig feces, a two-variable potential function is constructed based on mutation theory and the mutation point is calculated in combination with the Hessian matrix. This can identify the critical state of the transmission of parasites and pathogens, accurately predict when environmental variables will affect the mutation outbreak of parasites and pathogens, and issue early warnings. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 The figure is a flow chart of the overall method of the present invention. DETAILED DESCRIPTION

[0018] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention. Example:

[0019] See also Figure 1 As shown, this embodiment provides a method for comprehensive prevention and control of parasites and pathogenic bacteria in pig feces, comprising the following steps: S1, taking the feces pool as the center, using sensors to collect feces data and environmental data at different radii around the feces pool; In this embodiment S1, the fecal data includes parasite density and pathogen concentration ; Environmental data including temperature ,humidity , wind speed And feces accumulation time ; in, is the radius centered on the manure pond; For time.

[0020] In this embodiment, different times and radii are considered because the spread of parasites and pathogens is a dynamic process, and their growth, diffusion, competition, etc. change with time. Therefore, data must be collected at different time points to fully describe the evolution trend of the pathogen; the spread of pathogens not only changes with time, but also spreads with space. Therefore, sensors must be deployed at different radii to accurately analyze the diffusion pattern of pathogens.

[0021] S2. Based on fecal data and environmental data, the effect of wind speed on the diffusion of parasites and pathogens is introduced into the diffusion-competition equation to form a convection-diffusion equation, and a parasite and pathogen propagation equation is constructed to analyze the dynamic growth evolution of parasites and pathogens in feces due to the environment; In this embodiment S2, based on the feces data and environmental data, the effect of wind speed on the diffusion of parasites and pathogens is introduced into the diffusion-competition equation to form a convection-diffusion equation to construct a parasite and pathogen propagation equation. The specific method steps are as follows: S2.1. Introduce the effect of wind speed on the diffusion of parasites and pathogens into the traditional diffusion-competition equation and construct the convection-diffusion equation; S2.2. Use the temperature, humidity and feces accumulation time in the environment to optimize the nonlinear growth function of parasites and pathogens in the convection-diffusion equation; S2.3. Obtain the final parasite and pathogen transmission equation.

[0022] In this embodiment, the Diffusion-Competition Equation is used as the basic model equation, and is further optimized to make it more consistent with the propagation law of parasites and pathogens in the pig breeding environment. The Diffusion-Competition Equation is a type of mathematical model used to describe the interaction between two populations (parasites and pathogens in this method) in space and time; the traditional diffusion-competition model is only applicable to laboratory conditions, and the optimized parasite and pathogen propagation equation can be applied to complex breeding environments; the wind speed distribution is calculated by the Navier-Stokes equation, which can predict how pathogens diffuse with air convection and avoid the accumulation of pathogens in low wind speed areas; by optimizing the nonlinear growth function, the effects of temperature, humidity and feces accumulation time on pathogens can be quantified; the final parasite and pathogen propagation equation can also be used to predict the outbreak mutation point of S3 and identify environmental conditions where mutation outbreaks may occur in advance.

[0023] In this embodiment S2.1, the effect of wind speed on the diffusion of parasites and pathogens is introduced into the traditional diffusion-competition equation to construct the convection-diffusion equation. The specific method steps are as follows: S2.1.1. Radius centered on the manure pond and time The traditional diffusion-competition equation is as follows: ; in, is the parasite density, which is mathematically equivalent to ; is the concentration of pathogenic bacteria, which is mathematically equivalent to ; is the parasite density over time Rate of change; The density of pathogens over time Rate of change; is the parasite spread rate; is the pathogen diffusion rate; is the Laplacian operator of the parasite space; is the Laplace operator of the pathogenic bacteria space; It is a competitive inhibitor between parasites and pathogenic bacteria; is the nonlinear growth function of the parasite; is the nonlinear growth function of pathogenic bacteria; is the temperature, which is mathematically equivalent to ; is humidity, which is mathematically equivalent to ; is the feces accumulation time, which is mathematically equivalent to ; S2.1.2. In pig manure, the wind speed The influence on the diffusion of parasites and pathogens is introduced into the traditional diffusion-competition equation for optimization, with the radius centered on the feces pool and time Next, construct the convection-diffusion equation affected by wind speed: ; in, is the wind speed, which is mathematically equivalent to ; is the effect of wind speed on the convective transport of parasites; is the effect of wind speed on the convective transport of pathogenic bacteria; in, and The wind speed and the flow path of the parasites and pathogens were calculated using the Navier-Stokes equation.

[0024] In this embodiment, and The wind speed and the flow path of the parasites and pathogens are calculated by the Navier-Stokes equation as follows: To calculate the wind speed distribution in the farm environment, the Navier-Stokes equations for incompressible fluids are used: ; in, is the air density; is the air pressure; is the air viscosity; The external forces acting on the farm, such as farm fans, air convection, and convection caused by thermal gradients; In a pig farm environment, the wind speed is usually low, and it can be assumed that the wind field is in a steady state (i.e., the wind speed changes little over time), then the Navier-Stokes equation is simplified to: ; in, is the kinematic viscosity coefficient of air; The wind speed needs to be solved from the Navier-Stokes equation, and the finite difference method is used to calculate the distribution of wind speed around the manure pool; In the propagation equation of parasites and pathogens, the effect of wind speed on the spread of pathogens is calculated, namely: ; ; in, is the effect of wind speed on the convective transport of parasites; is the effect of wind speed on the convective transport of pathogenic bacteria; For wind speed Directional component; For wind speed Directional component; For wind speed Direction component.

[0025] In this embodiment S2.2, the temperature, humidity and feces accumulation time in the environment are used to optimize the nonlinear growth function of parasites and pathogens in the convection-diffusion equation. The specific method is as follows: ; ; in, is the maximum growth rate of the parasite; is the maximum growth rate of pathogenic bacteria; The environmental carrying capacity for parasites; The environmental carrying capacity for pathogenic bacteria; The effect of temperature on parasite reproduction; The effect of humidity on parasite reproduction; The effect of fecal accumulation time on parasite reproduction; The effect of temperature on the reproduction of pathogenic bacteria; The effect of humidity on the growth of pathogenic bacteria; The effect of feces accumulation time on the reproduction of pathogenic bacteria.

[0026] In this embodiment, the index term and The growth rates of parasites and pathogenic bacteria have been corrected to make the model more consistent with the dynamic characteristics of the actual breeding environment. Specifically, the growth of pathogens may be limited in low temperature and low humidity environments; the proliferation of certain pathogenic bacteria may be accelerated in conditions of high humidity and long periods of feces accumulation.

[0027] In S2.3, the final parasite and pathogen transmission equation is obtained as follows: ; The parasite and pathogenic bacteria transmission equation is obtained based on the optimization of wind speed, competition between parasites and pathogenic bacteria, and environmental factors, and is used to analyze the dynamic growth evolution of parasites and pathogenic bacteria in feces due to the environment.

[0028] In this embodiment, the final parasite and pathogen transmission equation comprehensively considers the interaction between parasites and pathogens, environmental influences, and the impact of wind speed on transmission, and can more accurately describe the dynamic evolution of pathogens in pig farms; this equation is based on the optimization of the convection-diffusion-competition model, combining the transmission of pathogens, environmental adaptability, growth competition and wind speed effects; a more practical and adaptable pathogen transmission model is constructed, which can more accurately predict, control and optimize the spread of pathogens in pig farms.

[0029] S3. Based on the propagation equation of parasites and pathogens, the mutation theory is introduced to construct a bivariate potential function to identify and predict the outbreak mutation points of parasites and pathogens in space; In this embodiment S3, based on the parasite and pathogen propagation equation, the mutation theory is introduced to construct a bivariate potential function to identify and predict the outbreak mutation points of parasites and pathogens in space. The specific method steps are as follows: S3.1. Based on the parasite and pathogenic bacteria transmission equation, the mutation theory is introduced to construct a bivariate potential function; S3.2. Based on the bivariate potential function, calculate the Hessian matrix and the mutation critical value to determine the outbreak mutation point.

[0030] In this embodiment, mutation theory is a mathematical theory that studies the mutation behavior of nonlinear dynamic systems. It is used to analyze whether a system will undergo a mutational transition when certain environmental parameters change; whether the system has multiple stable states, and when it will jump from one stable state to another; the transmission process of parasites and pathogens is usually a slow growth, but under certain specific environmental conditions (such as changes in temperature and humidity, changes in wind speed, and increased feces accumulation time), the spread and reproduction of pathogens may suddenly jump to a high-density state, forming an explosive spread, which is exactly the problem that mutation theory is intended to solve; mutation theory mainly analyzes the potential function and its stability. When the second-order derivative of the potential function or the determinant of the Hessian matrix becomes zero, the system may mutate; The two-variable potential function is a mathematical expression used to describe the change of the system state with environmental variables. The two-variable potential function represents the interaction between the two state variables of the system. In this case, it is used to describe: the dynamic changes of parasite density and the dynamic changes of pathogen density; in the parasite and pathogen transmission equation, the growth and spread of pathogens usually change continuously, but in some cases (such as changes in temperature and humidity, changes in environmental pollution), the density of parasites or pathogens may suddenly jump, which means that the system has multiple stable states, namely: low-risk steady state (low density of parasites and pathogens) and high-risk steady state (high density of parasites and pathogens); by constructing the potential function and calculating the Hessian matrix, it is possible to identify when the system will jump from a low-risk state to a high-risk state, thereby predicting the mutation outbreak point.

[0031] In this embodiment S3.1, based on the parasite and pathogenic bacteria transmission equation, the mutation theory is introduced to construct a two-variable potential function. The specific method steps are as follows: S3.1.1. Map the parameters in the parasite and pathogen transmission equations to the parameter terms in the bivariate potential function: ; ; ; ; ; ; ; ; ; ; in, is the parasite state variable; is the pathogen state variable; The time of feces accumulation after mapping; is the wind speed after mapping; To affect the parasite state variables environmental factors; To affect the pathogen state variables environmental factors; is the parasite growth rate; is the growth rate of pathogenic bacteria; The competitive inhibition of parasites on pathogenic bacteria; The competitive inhibition of pathogenic bacteria on parasites; S3.1.2. Construct a bivariate potential function based on the catastrophe theory: ; in, is a bivariate potential function, For the stable growth pattern of the parasite; It is a stable growth pattern for pathogenic bacteria; and The effects of temperature, humidity, and feces accumulation time on parasite growth; The competitive relationship between parasites and pathogenic bacteria; It is the external growth force of pathogenic bacteria.

[0032] In this embodiment S3.2, based on the bivariate potential function, the Hessian matrix and the mutation critical value are calculated to determine the outbreak mutation point. The specific method steps are as follows: S3.2.1. Calculate the Hessian matrix: ; in, is the Hessian matrix; Hessian Matrix The determinant of is: ; When the Hessian matrix The determinant of When , mutation growth may occur when the environmental parameters meet the critical conditions; S3.2.2. Calculate the mutation threshold of environmental variables: ; in, is the mutation critical value of the environmental variable, that is, the outbreak mutation point.

[0033] S4. Establish early warning strategies and implement intervention measures based on the predicted outbreak mutation points; In this embodiment S4, the early warning strategy and implementation intervention measures are as follows: when , then the risk of pathogen transmission is low and no intervention is required; when , the system enters the critical state before the mutation and starts the early warning; when , the mutation has occurred.

[0034] The above shows and describes the basic principles, main features and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited by the above embodiments, and the above embodiments and descriptions are only preferred examples of the present invention, and are not intended to limit the present invention. Without departing from the spirit and scope of the present invention, the present invention may have various changes and improvements, and these changes and improvements all fall within the scope of the present invention to be protected.

Claims

1. A method for comprehensive prevention and control of parasites and pathogenic bacteria in pig breeding feces, characterized in that: The following steps are involved: S1, with the feces pool as the center, use sensors to collect feces data and environmental data at different radii around the feces pool; S2. Based on fecal data and environmental data, the effect of wind speed on the diffusion of parasites and pathogens is introduced into the diffusion-competition equation to form a convection-diffusion equation, and a parasite and pathogen propagation equation is constructed to analyze the dynamic growth evolution of parasites and pathogens in feces due to the environment; S3. Based on the propagation equation of parasites and pathogens, the mutation theory is introduced to construct a bivariate potential function to identify and predict the outbreak mutation points of parasites and pathogens in space; S4. Establish early warning strategies and implement intervention measures based on the predicted outbreak mutation points.

2. The method for comprehensive prevention and control of parasites and pathogenic bacteria in pig feces according to claim 1, characterized in that: In S1, fecal data include parasite density and pathogen concentration ; Environmental data including temperature ,humidity , wind speed And feces accumulation time ; in, is the radius centered on the manure pond; For time.

3. The method for comprehensive prevention and control of parasites and pathogenic bacteria in pig breeding feces according to claim 2, characterized in that: In S2, based on the feces data and environmental data, the effect of wind speed on the diffusion of parasites and pathogens is introduced into the diffusion-competition equation to form a convection-diffusion equation to construct the parasite and pathogen transmission equation. The specific method steps are as follows: S2.

1. Introduce the effect of wind speed on the diffusion of parasites and pathogens into the traditional diffusion-competition equation and construct the convection-diffusion equation; S2.

2. Use the temperature, humidity and feces accumulation time in the environment to optimize the nonlinear growth function of parasites and pathogens in the convection-diffusion equation; S2.

3. Obtain the final parasite and pathogen transmission equation.

4. The method for comprehensive prevention and control of parasites and pathogenic bacteria in pig breeding feces according to claim 3, characterized in that: In S2.1, the effect of wind speed on the diffusion of parasites and pathogens is introduced into the traditional diffusion-competition equation to construct the convection-diffusion equation. The specific method steps are as follows: S2.1.

1. Radius centered on the manure pond and time The traditional diffusion-competition equation is as follows: ； in, is the parasite density, which is mathematically equivalent to ; is the concentration of pathogenic bacteria, which is mathematically equivalent to ; is the parasite density over time Rate of change; The density of pathogens over time Rate of change; is the parasite spread rate; is the pathogen diffusion rate; is the Laplacian operator of the parasite space; is the Laplace operator of the pathogenic bacteria space; It is a competitive inhibitor between parasites and pathogenic bacteria; is the nonlinear growth function of the parasite; is the nonlinear growth function of pathogenic bacteria; is the temperature, which is mathematically equivalent to ; is humidity, which is mathematically equivalent to ; is the feces accumulation time, which is mathematically equivalent to ; S2.1.

2. In pig manure, the wind speed The influence on the diffusion of parasites and pathogens is introduced into the traditional diffusion-competition equation for optimization, with the radius centered on the feces pool and time Next, construct the convection-diffusion equation affected by wind speed: ； in, is the wind speed, which is mathematically equivalent to ; is the effect of wind speed on the convective transport of parasites; is the effect of wind speed on the convective transport of pathogenic bacteria; in, and The wind speed and the flow path of the parasites and pathogens were calculated using the Navier-Stokes equation.

5. The method for comprehensive prevention and control of parasites and pathogenic bacteria in pig feces according to claim 4, characterized in that: In S2.2, the temperature, humidity and feces accumulation time in the environment are used to optimize the nonlinear growth function of parasites and pathogens in the convection-diffusion equation. The specific method is as follows: ； ； in, is the maximum growth rate of the parasite; is the maximum growth rate of pathogenic bacteria; The environmental carrying capacity for parasites; The environmental carrying capacity for pathogenic bacteria; The effect of temperature on parasite reproduction; The effect of humidity on parasite reproduction; The effect of fecal accumulation time on parasite reproduction; The effect of temperature on the reproduction of pathogenic bacteria; The effect of humidity on the growth of pathogenic bacteria; The effect of feces accumulation time on the reproduction of pathogenic bacteria.

6. The method for comprehensive prevention and control of parasites and pathogenic bacteria in pig breeding feces according to claim 5, characterized in that: In S2.3, the final parasite and pathogen transmission equation is obtained as follows: ； The parasite and pathogenic bacteria transmission equation is obtained based on the optimization of wind speed, competition between parasites and pathogenic bacteria, and environmental factors, and is used to analyze the dynamic growth evolution of parasites and pathogenic bacteria in feces due to the environment.

7. The method for comprehensive prevention and control of parasites and pathogenic bacteria in pig feces according to claim 6, characterized in that: In S3, based on the parasite and pathogen propagation equation, the mutation theory is introduced to construct a bivariate potential function to identify and predict the outbreak mutation points of parasites and pathogens in space. The specific method steps are as follows: S3.

1. Based on the parasite and pathogenic bacteria transmission equation, the mutation theory is introduced to construct a bivariate potential function; S3.

2. Based on the bivariate potential function, calculate the Hessian matrix and the mutation critical value to determine the outbreak mutation point.

8. The method for comprehensive prevention and control of parasites and pathogenic bacteria in pig breeding feces according to claim 7, characterized in that: In S3.1, based on the parasite and pathogen transmission equation, the mutation theory is introduced to construct a bivariate potential function. The specific method steps are as follows: S3.1.

1. Map the parameters in the parasite and pathogen transmission equations to the parameter terms in the bivariate potential function: ； ； ； ； ； ； ； ； ； ； in, is the parasite state variable; is the pathogen state variable; The time of feces accumulation after mapping; is the wind speed after mapping; To affect the parasite state variables environmental factors; To affect the pathogen state variables environmental factors; is the parasite growth rate; is the growth rate of pathogenic bacteria; The competitive inhibition of parasites on pathogenic bacteria; The competitive inhibition of pathogenic bacteria on parasites; S3.1.

2. Construct a bivariate potential function based on the catastrophe theory: ； in, is a bivariate potential function, For the stable growth pattern of the parasite; It is a stable growth pattern for pathogenic bacteria; and The effects of temperature, humidity, and feces accumulation time on parasite growth; The competitive relationship between parasites and pathogenic bacteria; It is the external growth force of pathogenic bacteria.

9. The method for comprehensive prevention and control of parasites and pathogenic bacteria in pig feces according to claim 8, characterized in that: In S3.2, based on the bivariate potential function, the Hessian matrix and the mutation critical value are calculated to determine the outbreak mutation point. The specific method steps are as follows: S3.2.

1. Calculate the Hessian matrix: ； in, is the Hessian matrix; Hessian Matrix The determinant of is: ； When the Hessian matrix The determinant of When , mutation growth may occur when the environmental parameters meet the critical conditions; S3.2.

2. Calculate the mutation threshold of environmental variables: ； in, is the mutation critical value of the environmental variable, that is, the outbreak mutation point.

10. The method for comprehensive prevention and control of parasites and pathogenic bacteria in pig feces according to claim 9, characterized in that: In S4, the early warning strategy and implementation intervention measures are as follows: when , then the risk of pathogen transmission is low and no intervention is required; when , the system enters the critical state before the mutation and starts the early warning; when , the mutation has occurred.

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