A comprehensive prevention and control method for parasites and pathogenic bacteria in pig breeding feces

Abstract

The present invention relates to the technical field of pig feces prevention and control, and more specifically, to a method for the comprehensive prevention and control of parasites and pathogens in pig feces, comprising the following steps: using sensors to collect feces data and environmental data at different radii around a feces pool; based on the feces data and environmental data, introducing the effect of wind speed on the diffusion of parasites and pathogens into the diffusion-competition equation to form a convection-diffusion equation, and constructing a parasite and pathogen propagation equation; based on the parasite and pathogen propagation equation, introducing catastrophe theory to construct a two-variable potential function to identify and predict the outbreak mutation points of parasites and pathogens; and based on the predicted outbreak mutation points, establishing an early warning strategy and implementing intervention measures. This method for the comprehensive prevention and control of parasites and pathogens in pig feces constructs a two-variable potential function based on catastrophe theory to identify the critical state of parasite and pathogen propagation, and predict when environmental variables will affect the sudden outbreak of parasites and pathogens.

Description

Technical Field

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

[0002] The integrated prevention and control method for parasites and pathogens in pig feces aims to predict the transmission trends of parasites and pathogens and identify possible mutation outbreaks. By constructing a bivariate potential function based on mutation theory and combining it with the Hessian matrix to predict and calculate the outbreak mutation point, the nonlinear effect of environmental variables on pathogen transmission is controlled, and early warning can be issued before a large-scale pathogen outbreak 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 farming manure usually only monitor the pathogen concentration in real time, which makes it difficult to comprehensively consider the impact of wind speed and environment on the spread of parasites or pathogens, resulting in sudden growth. In addition, since nonlinear jump outbreak mutations may occur at a certain time and place in the parasite-pathogen ecosystem, such nonlinear jump outbreak mutations are short-term and difficult to observe only from sensor data, which may lead to the inability to take timely response strategies before the parasite-pathogen outbreak mutation. Therefore, a comprehensive prevention and control method for parasites and pathogens in pig farming 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 farming manure, so as to solve the problem proposed in the above background technology that nonlinear jump outbreak mutations may occur in the parasite-pathogen ecosystem at a certain time and place. This nonlinear jump outbreak mutation is short-term and difficult to observe only from sensor data, which may lead to the inability to take timely response strategies when parasite-pathogen outbreak mutations occur.

[0005] To achieve the above objectives, the present invention provides a method for comprehensive prevention and control of parasites and pathogenic bacteria in pig feces, comprising the following steps:

[0006] S1, with the feces pool as the center, use sensors to collect feces data and environmental data at different radius around the feces pool;

[0007] 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 transmission equation is constructed to analyze the dynamic growth and evolution of parasites and pathogens in feces due to the environment;

[0008] S3. Based on the parasite and pathogen transmission equations, we introduce the mutation theory to construct a bivariate potential function to identify and predict the outbreak mutation points of parasites and pathogens in space;

[0009] S4. Establish early warning strategies and implement intervention measures based on the predicted outbreak mutation points.

[0010] As a further improvement of this technical solution, in S1, the fecal data includes parasite density and pathogen concentration ;

[0011] Environmental data including temperature ,humidity , wind speed and feces accumulation time ;

[0012] in, is the radius centered on the manure pond; For time.

[0013] As a further improvement of this technical solution, in 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 to construct the parasite and pathogen transmission equation. The specific method steps are as follows:

[0014] S2.1. Introduce the effect of wind speed on the diffusion of parasites and pathogens into the traditional diffusion-competition equation to construct a convection-diffusion equation;

[0015] S2.2. Use the ambient temperature, humidity, and fecal accumulation time to optimize the nonlinear growth functions of parasites and pathogens in the convection-diffusion equation.

[0016] S2.3. Obtain the final parasite and pathogen transmission equation.

[0017] As a further improvement of this 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:

[0018] S2.1.1. Radius centered on the manure pit and time The traditional diffusion-competition equation is as follows:

[0019] ;

[0020] 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 diffusion rate; is the pathogen diffusion rate; is the Laplace operator of the parasite space; is the Laplace operator of the pathogenic bacteria space; It is a competitive inhibitory factor 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 ;

[0021] S2.1.2, in pig farming 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 Under the influence of wind speed, the convection-diffusion equation is constructed:

[0022] ;

[0023] in, is the wind speed, which is mathematically equivalent to ; is the effect of wind speed on the convective transport of parasites; is the convective transport effect of wind speed on pathogens;

[0024] in, and The wind speed and the flow path of the parasites and pathogens were calculated using the Navier-Stokes equation.

[0025] As a further improvement of this 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 pathogens in the convection-diffusion equation. The specific method is as follows:

[0026] ;

[0027] ;

[0028] 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 pathogens; 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 growth 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.

[0029] As a further improvement of this technical solution, in S2.3, the final parasite and pathogen transmission equation is obtained as follows:

[0030] ;

[0031] The parasite and pathogen transmission equation is obtained based on the optimization of wind speed, competition between parasites and pathogens, and environmental factors, and is used to analyze the dynamic growth evolution of parasites and pathogens in feces due to the environment.

[0032] As a further improvement of this technical solution, in S3, based on the parasite and pathogenic bacteria transmission 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:

[0033] S3.1. Based on the parasite and pathogen transmission equation, introduce the catastrophe theory to construct a two-variable potential function;

[0034] S3.2. Based on the bivariate potential function, calculate the Hessian matrix and the mutation critical value to determine the outbreak mutation point.

[0035] As a further improvement of this technical solution, in S3.1, based on the parasite and pathogen transmission equation, the catastrophe theory is introduced to construct a two-variable potential function. The specific method steps are as follows:

[0036] S3.1.1. Map the parameters in the parasite and pathogen transmission equations to the parameter terms in the two-variable potential function:

[0037] ; ; ; ;

[0038] ;

[0039] ;

[0040] ;

[0041] ;

[0042] ;

[0043] ;

[0044] in, is the parasite state variable; is the pathogen state variable; is the feces accumulation time 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 pathogens on parasites;

[0045] S3.1.2. Construct a two-variable potential function based on catastrophe theory:

[0046] ;

[0047] in, is a bivariate potential function, It is a stable growth pattern of the parasite; It is a stable growth pattern of 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.

[0048] As a further improvement of this technical solution, the above S3.2, based on the bivariate potential function, calculates the Hessian matrix and the mutation critical value to determine the outbreak mutation point. The specific method steps are as follows:

[0049] S3.2.1. Calculate the Hessian matrix:

[0050] ;

[0051] in, is the Hessian matrix;

[0052] Hessian matrix The determinant of is:

[0053] ;

[0054] When the Hessian matrix The determinant of When , mutation growth may occur when the environmental parameters meet the critical conditions;

[0055] S3.2.2. Calculate the mutation threshold of environmental variables:

[0056] ;

[0057] in, is the mutation critical value of the environmental variable, that is, the outbreak mutation point.

[0058] As a further improvement of this technical solution, the early warning strategy and implementation intervention measures in S4 are as follows:

[0059] when , then the risk of pathogen transmission is low and no intervention is required;

[0060] when , the system enters the critical state before the mutation and starts the early warning;

[0061] when , a mutation has occurred.

[0062] Compared with the prior art, the present invention has the following beneficial effects:

[0063] 1. In this comprehensive prevention and control method for parasites and pathogens in pig farming manure, environmental factors such as wind speed are taken into account in the dynamic spread of parasites and pathogens. Based on the traditional diffusion-competition equation, a parasite and pathogen transmission equation is constructed to analyze the impact of the environment on the dynamic growth and evolution of parasites and pathogens in feces.

[0064] 2. This integrated approach to preventing and controlling parasites and pathogens in pig manure constructs a two-variable potential function based on mutation theory and calculates mutation points using the Hessian matrix. This approach can identify the critical state of parasite and pathogen transmission, accurately predict when environmental variables will affect mutational outbreaks of parasites and pathogens, and issue early warnings. BRIEF DESCRIPTION OF THE DRAWINGS

[0065] Figure 1 The figure is a flow chart of the overall method of the present invention. DETAILED DESCRIPTION

[0066] The following will provide a clear and complete description of the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. All other embodiments obtained by ordinary technicians in this field based on the embodiments of the present invention without making any creative efforts shall fall within the scope of protection of the present invention.

[0067] Example:

[0068] See also Figure 1 As shown, this embodiment provides a method for comprehensive prevention and control of parasites and pathogens in pig feces, comprising the following steps:

[0069] S1, with the feces pool as the center, use sensors to collect feces data and environmental data at different radius around the feces pool;

[0070] In this embodiment S1, the fecal data includes parasite density and pathogen concentration ;

[0071] Environmental data including temperature ,humidity , wind speed and feces accumulation time ;

[0072] in, is the radius centered on the manure pond; For time.

[0073] In this embodiment, different times and radii are considered because the spread of parasites and pathogens is a dynamic process. Their growth, diffusion, competition, etc. change over time. Therefore, data must be collected at different time points to fully describe the evolution trend of the pathogen. The spread of pathogens changes not only over time but also over space. Therefore, sensors must be deployed at different radii to accurately analyze the diffusion pattern of pathogens.

[0074] 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 transmission equation is constructed to analyze the dynamic growth and evolution of parasites and pathogens in feces due to the environment;

[0075] In this embodiment 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 to construct a parasite and pathogen transmission equation. The specific method steps are as follows:

[0076] S2.1. Introduce the effect of wind speed on the diffusion of parasites and pathogens into the traditional diffusion-competition equation to construct a convection-diffusion equation;

[0077] S2.2. Use the ambient temperature, humidity, and fecal accumulation time to optimize the nonlinear growth functions of parasites and pathogens in the convection-diffusion equation.

[0078] S2.3. Obtain the final parasite and pathogen transmission equation.

[0079] In this example, the diffusion-competition equation was used as the basic model equation and further optimized to make it more consistent with the transmission patterns of parasites and pathogens in pig farming environments. The diffusion-competition equation is a mathematical model used to describe the spatial and temporal interaction between two populations (parasites and pathogens in this method). The traditional diffusion-competition model is only applicable to laboratory conditions, while the optimized parasite and pathogen transmission equation can be applied to complex farming environments. The wind speed distribution is calculated using the Navier-Stokes equation to predict how pathogens diffuse with air convection, avoiding pathogen accumulation 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 transmission equation can also be used to predict the outbreak mutation point of S3 and identify environmental conditions where a sudden outbreak may occur in advance.

[0080] 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 a convection-diffusion equation. The specific method steps are as follows:

[0081] S2.1.1. Radius centered on the manure pit and time The traditional diffusion-competition equation is as follows:

[0082] ;

[0083] 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 diffusion rate; is the pathogen diffusion rate; is the Laplace operator of the parasite space; is the Laplace operator of the pathogenic bacteria space; It is a competitive inhibitory factor 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 ;

[0084] S2.1.2, in pig farming 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 Under the influence of wind speed, the convection-diffusion equation is constructed:

[0085] ;

[0086] in, is the wind speed, which is mathematically equivalent to ; is the effect of wind speed on the convective transport of parasites; is the convective transport effect of wind speed on pathogens;

[0087] in, and The wind speed and the flow path of the parasites and pathogens were calculated using the Navier-Stokes equation.

[0088] In this embodiment, and The wind speed and the flow path of parasites and pathogens are calculated using the Navier-Stokes equation as follows:

[0089] To calculate the wind speed distribution in the farm environment, the Navier-Stokes equations for incompressible fluids are used:

[0090] ;

[0091] 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;

[0092] 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). The Navier-Stokes equation is simplified to:

[0093] ;

[0094] in, is the kinematic viscosity coefficient of air;

[0095] 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 pond;

[0096] In the parasite and pathogen spread equation, the effect of wind speed on pathogen spread is calculated, namely:

[0097] ;

[0098] ;

[0099] in, is the effect of wind speed on the convective transport of parasites; is the convective transport effect of wind speed on pathogens; The wind speed is Directional component; The wind speed is Directional component; The wind speed is Directional component.

[0100] 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:

[0101] ;

[0102] ;

[0103] 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 pathogens; 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 growth 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.

[0104] In this embodiment, the index term and The growth rates of parasites and pathogens have been revised to make the model more consistent with the dynamic characteristics of the actual breeding environment. Specifically, in low temperature and low humidity environments, the growth of pathogens may be restricted; in conditions of high humidity and prolonged feces accumulation, the proliferation of certain pathogens may accelerate.

[0105] In S2.3, the final parasite and pathogen transmission equation is obtained as follows:

[0106] ;

[0107] The parasite and pathogen transmission equation is obtained based on the optimization of wind speed, competition between parasites and pathogens, and environmental factors, and is used to analyze the dynamic growth evolution of parasites and pathogens in feces due to the environment.

[0108] 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; it constructs a more practical and adaptable pathogen transmission model that can more accurately predict, control and optimize the spread of pathogens in pig farms.

[0109] S3. Based on the parasite and pathogen transmission equations, we introduce the mutation theory to construct a bivariate potential function to identify and predict the outbreak mutation points of parasites and pathogens in space;

[0110] In this embodiment S3, based on the parasite and pathogenic bacteria transmission equation, the mutation theory is introduced to construct a bivariate potential function to identify and predict the outbreak mutation points of parasites and pathogenic bacteria in space. The specific method steps are as follows:

[0111] S3.1. Based on the parasite and pathogen transmission equation, introduce the catastrophe theory to construct a two-variable potential function;

[0112] S3.2. Based on the bivariate potential function, calculate the Hessian matrix and the mutation critical value to determine the outbreak mutation point.

[0113] In this embodiment, catastrophe 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 catastrophe transition when certain environmental parameters change; whether a system has multiple stable states, and when it will jump from one stable state to another. The transmission process of parasites and pathogens usually grows slowly, but under certain specific environmental conditions (such as changes in temperature and humidity, wind speed, and increased accumulation of feces), the spread and reproduction of pathogens may suddenly jump to a high-density state, resulting in explosive spread. This is exactly the problem that catastrophe theory aims to solve. Catastrophe 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 undergo a mutation.

[0114] The two-variable potential function is a mathematical expression used to describe how the state of a system changes with environmental variables. It represents the interaction between the two state variables of a system. In this case, it is used to describe the dynamic changes in parasite density and the dynamic changes in pathogen density. In the parasite and pathogen transmission equations, the growth and spread of pathogens usually change continuously, but in some cases (such as changes in temperature and humidity, or changes in environmental pollution), the density of parasites or pathogens may suddenly jump, which means that the system has multiple stable states, namely: a low-risk steady state (low density of parasites and pathogens) and a 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.

[0115] In this embodiment S3.1, based on the parasite and pathogen transmission equation, the catastrophe theory is introduced to construct a two-variable potential function. The specific method steps are as follows:

[0116] S3.1.1. Map the parameters in the parasite and pathogen transmission equations to the parameter terms in the two-variable potential function:

[0117] ; ; ; ;

[0118] ;

[0119] ;

[0120] ;

[0121] ;

[0122] ;

[0123] ;

[0124] in, is the parasite state variable; is the pathogen state variable; is the feces accumulation time 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 pathogens on parasites;

[0125] S3.1.2. Construct a two-variable potential function based on catastrophe theory:

[0126] ;

[0127] in, is a bivariate potential function, It is a stable growth pattern of the parasite; It is a stable growth pattern of 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.

[0128] 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:

[0129] S3.2.1. Calculate the Hessian matrix:

[0130] ;

[0131] in, is the Hessian matrix;

[0132] Hessian matrix The determinant of is:

[0133] ;

[0134] When the Hessian matrix The determinant of When , mutation growth may occur when the environmental parameters meet the critical conditions;

[0135] S3.2.2. Calculate the mutation threshold of environmental variables:

[0136] ;

[0137] in, is the mutation critical value of the environmental variable, that is, the outbreak mutation point.

[0138] S4. Establish early warning strategies and implement intervention measures based on the predicted outbreak mutation points;

[0139] In this embodiment S4, the early warning strategy and implementation intervention measures are as follows:

[0140] when , then the risk of pathogen transmission is low and no intervention is required;

[0141] when , the system enters the critical state before the mutation and starts the early warning;

[0142] when , a mutation has occurred.

[0143] The basic principles, main features, and advantages of the present invention are shown and described above. It should be understood by those skilled in the art that the present invention is not limited to the above-described embodiments. The above-described embodiments and descriptions are merely preferred examples of the present invention and are not intended to limit the present invention. Various changes and modifications may be made to the present invention without departing from the spirit and scope of the present invention, and such changes and modifications fall within the scope of the invention claimed.

Claims

1. A comprehensive method for preventing and controlling parasites and pathogenic bacteria in pig 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 transmission equation is constructed to analyze the dynamic growth and evolution of parasites and pathogens in feces due to the environment; S3. Based on the parasite and pathogen transmission equations, we introduce the mutation theory 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; The specific steps in S2 are as follows: S2.

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

2. Use the ambient temperature, humidity, and fecal accumulation time to optimize the nonlinear growth functions of parasites and pathogens in the convection-diffusion equation. S2.

3. Obtain the final parasite and pathogen transmission equation; The specific steps of the method in S2.1 are as follows: S2.1.

1. Radius centered on the manure pit and time The traditional diffusion-competition equation is as follows: ； in, is the parasite density; is the concentration of pathogenic bacteria; is the parasite density over time rate of change; The density of pathogens over time rate of change; is the parasite diffusion rate; is the pathogen diffusion rate; is the Laplace operator of the parasite space; is the Laplace operator of the pathogenic bacteria space; It is a competitive inhibitory factor between parasites and pathogenic bacteria; is the nonlinear growth function of the parasite; is the nonlinear growth function of pathogenic bacteria; is temperature; for humidity; Time for feces to accumulate; S2.1.2, in pig farming 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 Under the influence of wind speed, the convection-diffusion equation is constructed: ； in, is the wind speed; is the effect of wind speed on the convective transport of parasites; is the convective transport effect of wind speed on pathogens; in, and The wind speed and the flow path of parasites and pathogens were calculated using the Navier-Stokes equation. The specific method in S2.2 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 pathogens; 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 growth 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; The final parasite and pathogen transmission equation in S2.3 is as follows: 。 2. The method for comprehensive prevention and control of parasites and pathogenic bacteria in pig farming feces according to claim 1, characterized in that: In S1, 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.

3. The method for comprehensive prevention and control of parasites and pathogenic bacteria in pig farming feces according to claim 2, 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 pathogen transmission equation, introduce the catastrophe theory to construct a two-variable 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.

4. The method for comprehensive prevention and control of parasites and pathogenic bacteria in pig farming feces according to claim 3, characterized in that: In S3.1, based on the parasite and pathogen transmission equation, the catastrophe theory is introduced to construct a two-variable potential function. The specific steps are as follows: S3.1.

1. Map the parameters in the parasite and pathogen transmission equations to the parameter terms in the two-variable potential function: ； ； ； ； ； ； ； ； ； ； in, is the parasite state variable; is the pathogen state variable; is the feces accumulation time 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 pathogens on parasites; S3.1.

2. Construct a two-variable potential function based on catastrophe theory: ； in, is a bivariate potential function, It is a stable growth pattern of the parasite; It is a stable growth pattern of 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.

5. The method for comprehensive prevention and control of parasites and pathogenic bacteria in pig feces according to claim 4, 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.

6. The method for comprehensive prevention and control of parasites and pathogenic bacteria in pig feces according to claim 5, 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 , a mutation has occurred.

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