Animal individual health real-time monitoring system and method based on intelligent wearable device

Abstract

The invention discloses an animal individual health real-time monitoring system and method based on an intelligent wearable device, and belongs to the field of animal health monitoring. Physiological data and behavior data of an animal are obtained, a state vector of the animal is generated, and a physical sign similarity evaluation model is constructed; the state vectors of the animals are imported into a sign similarity evaluation model to evaluate the state similarity condition between the animals, an individual infection model is constructed, the sign similarity between the animals is imported into the individual infection model to evaluate the individual infection ability of the animals, a disease transmission model is constructed, and the individual infection ability of the animals is evaluated. The method comprises the following steps: constructing a disease transmission model, importing the individual infection capability of an infected animal into the disease transmission model to evaluate the infection risk of other animals, constructing an infection early warning model, and importing the animal infection probability into the infection early warning model to carry out early warning. And early warning is carried out on animal infectious disease conditions.

Description

Technical Field

[0001] The present invention belongs to the field of animal health monitoring, and specifically relates to a real-time monitoring system and method for individual animal health based on smart wearable devices. Background Art

[0002] With the rapid development of modern animal husbandry, animal diseases have become an important factor affecting animal husbandry benefits. Traditional animal husbandry methods mainly rely on manual inspections and regular quarantine, which have certain limitations, such as slow response speed, missed diagnosis and high risk of omission.

[0003] Although existing disease transmission models can describe the disease transmission process in a group to a certain extent, these models often assume that the transmission speed and contact probability are constant, and ignore the differences in health status between individuals, changes in behavior patterns, and the impact of environmental factors on transmission. Especially in the actual breeding process, the health status, environmental changes, and behavior patterns of animal groups are dynamically changing, and traditional models cannot accurately reflect the impact of these factors. The present invention realizes disease transmission early warning, accurate prediction, and scientific prevention and control through real-time monitoring of animal health, behavior, environment, and disease transmission laws. Summary of the invention

[0004] In view of the deficiencies in the prior art, the present invention proposes a system and method for real-time monitoring of individual animal health based on smart wearable devices.

[0005] To achieve the above object, the present invention provides the following technical solutions: The method for real-time monitoring of individual animal health based on smart wearable devices includes the following specific steps: Obtain the animal's physiological data and behavioral data and generate the animal's state vector; Constructing a physical sign similarity evaluation model, importing the state vectors of animals into the physical sign similarity evaluation model to evaluate the state similarity between animals; Construct an individual infection model and import the similarity of physical signs between animals into the individual infection model to evaluate the individual infection ability of animals; Construct a disease transmission model and import the individual infectious ability of infected animals into the disease transmission model to assess the risk of infection of other animals; Construct an infection warning model and import the animal infection probability into the infection warning model for early warning.

[0006] Preferably, the step of acquiring the physiological data and behavioral data of the animal and generating the state vector of the animal comprises the following specific steps: S11. Acquire the physiological data and behavioral data of the animal through the smart wearable device, and collect the environmental data of the animal's residence through the environmental monitoring module, wherein the physiological data include body temperature, heart rate, and respiratory rate, and the behavioral data include exercise volume, water intake, and food intake; S12, generating a physiological parameter vector from the acquired physiological data of the animal, and generating a behavioral parameter vector from the acquired behavioral data of the animal, wherein the physiological parameter vector of the i-th animal is: , the behavioral parameter vector of the i-th animal is: , where a is body temperature, b is heart rate, c is respiratory rate, d is exercise volume, e is food intake, and f is water intake; S13, the physiological parameter vector and the behavioral parameter vector are combined into the state vector of the animal, wherein the state vector of the i-th animal is expressed as: .

[0007] Preferably, the constructing of the physical sign similarity evaluation model and importing the state vectors of the animals into the physical sign similarity evaluation model to evaluate the state similarity between the animals comprises the following specific steps: Substitute the state vectors between animals into the cosine similarity calculation formula between animals to calculate the similarity of animal signs. The similarity of signs between the i-th infected animal and the j-th animal is: ,in, is the state vector of the i-th infected animal, is the state vector of the jth animal, and are the modulus of the state vector of the i-th infected animal and the modulus of the state vector of the j-th animal, respectively.

[0008] Preferably, the construction of an individual infection model and the introduction of the similarity of physical signs between animals into the individual infection model to evaluate the individual infection ability of animals include the following specific steps: S31. Substituting the monitored temperature and humidity index and the ammonia concentration in the animal residence into the environmental index calculation formula to evaluate the animal's environment, wherein the animal residence environmental index calculation formula is: ,in, is the ammonia concentration in the animal housing, is the ammonia concentration threshold of the animal residence, THI is the temperature and humidity index of the animal residence, and The temperature and humidity index and the ammonia concentration in the animal housing are used as weights to jointly evaluate the animal housing environment. The higher the value, the stronger the environment's role in promoting disease transmission, increasing the risk of infection. S32. Substitute the similarity of physical signs between the ith infected animal and the jth animal into the individual infectious capacity formula to evaluate the individual infectious capacity of the ith infected animal, wherein the individual infectious capacity evaluation formula of the ith infected animal is: ,in, is the pathogen basic infection rate, k is the incubation period adjustment factor, is the incubation period, P is the duration of infection symptoms in the ith animal, and the infection capacity of infected animals is comprehensively evaluated through the animal housing environment, the basic pathogen infection rate and the similarity of physical signs. The higher the similarity between individual animals and infected animals, the stronger the infectiousness. The influence of the incubation period is controlled by adjusting the length of the incubation period, and the infectiousness reaches a peak in the late incubation period.

[0009] Preferably, the construction of the disease transmission model and the introduction of the individual infectious ability of infected animals into the disease transmission model to assess the infection risk of other animals include the following specific steps: S41. Substitute the individual infectious capacity of the i-th infected animal into the spatiotemporal transmission dynamics formula to estimate the probability of the infected animal infecting other animals, where the spatiotemporal transmission dynamics formula is: ,in, is the infection probability of the jth animal at time t, N is the number of infected animals that have come into contact with the jth animal, is the contact frequency between the ith infected animal and the jth animal, is the population recovery rate of the infectious disease, where the frequency of contact between the i-th infected animal and the j-th animal is calculated as: ,in, is the overlapping duration of the movement trajectories of the ith animal and the jth animal within T time, is the distance attenuation coefficient, is the distance between the i-th infected animal and the j-th animal. The intersection of animals is determined by the movement trajectory monitored by the smart wearable device. Since individual animals are in contact with surrounding infected animals, the infected animals carry the virus and are easy to spread. Therefore, the probability of animal infection itself is increased according to the infectious ability and contact frequency of the infected animals. At the same time, due to the immunity and recovery of the animal group, the probability of infection decays over time, and the decay rate is determined by the recovery rate; S42. Differentiate the spatiotemporal transmission dynamics formula to obtain the infection probability of the jth animal at time t , assess the infection risk of the jth animal at time t.

[0010] Preferably, the construction of the infection early warning model and the introduction of the animal infection probability into the infection early warning model for early warning comprises the following specific steps: S51. Compare the animal infection probability with the infection probability threshold. If it exceeds the threshold range, isolate it immediately, take samples to detect pathogens, and conduct preventive treatment. If it is within the threshold range, strengthen the detection of physiological parameters and behavioral parameters; S52. Substituting the number of warning animals into the group infection rate calculation formula to evaluate the group infection rate, wherein the group infection rate calculation formula is: , where V is the number of warning animals, Q is the number of infected animals, and M is the total number of animals. Emergency plans are taken for animals based on the group infection rate.

[0011] The real-time monitoring system for individual animal health based on smart wearable devices is implemented based on the above-mentioned real-time monitoring method for individual animal health based on smart wearable devices, and specifically includes: A data acquisition module is used to acquire physiological data and behavioral data of animals and generate a state vector of the animals; The physical sign similarity assessment module is used to assess the similarity of the status between two animals; Individual infectious capacity assessment module, used to assess the individual infectious capacity of animals; A disease transmission module to assess the risk of infection to other animals; Infection warning module, used for early warning of infection of infected animals and animal groups.

[0012] An electronic device comprises: a processor and a memory, wherein the memory stores a computer program that can be called by the processor; The processor executes the above-mentioned method for real-time monitoring of individual animal health based on smart wearable devices by calling the computer program stored in the memory.

[0013] A computer-readable storage medium, characterized in that it stores instructions, which, when executed on a computer, enable the computer to execute the above-mentioned method for real-time monitoring of individual animal health based on smart wearable devices.

[0014] Compared with the prior art, the present invention has the following beneficial effects: The present invention obtains the physiological data and behavioral data of animals, generates the state vector of animals, constructs a disease similarity evaluation model, imports the state vector of animals into the disease similarity evaluation model to evaluate the state similarity between two animals, constructs an individual infection model, imports the disease similarity between animals into the individual infection model to evaluate the individual infection ability of animals, constructs a disease transmission model, imports the individual infection ability of infected animals into the disease transmission model to evaluate the infection risk of other animals, constructs an infection early warning model, imports the probability of animal infection into the infection early warning model for early warning, and the present invention provides early warning of animal infectious diseases through real-time monitoring and analysis of animal group health, behavior, environment and disease transmission rules. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 This is a schematic diagram of the overall process of the method for real-time monitoring of individual animal health based on smart wearable devices of the present invention; Figure 2 This is a schematic diagram of the distance between infected animals and other animals; Figure 3 Overlapping graph of infected animals and other animals’ trajectories; Figure 4 This is a schematic diagram of the overall framework of the real-time animal individual health monitoring system based on smart wearable devices of the present invention. DETAILED DESCRIPTION

[0016] The technical solutions in the embodiments of the present invention will be described clearly and completely below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments.

[0017] Example 1

[0018] The implementation scenario of this embodiment is as follows Figure 2-3 As shown, specifically: the positions of infected animals and other animals are monitored through smart wearable devices, and the distance between them and the overlapping time of their trajectories are obtained, and the infection effect of infected animals on other animals is comprehensively evaluated through the distance and overlapping time.

[0019] See also Figure 1 The present invention provides an embodiment: a method for real-time monitoring of individual animal health based on a smart wearable device, which comprises the following specific steps: Obtain the animal's physiological data and behavioral data and generate the animal's state vector; Constructing a physical sign similarity evaluation model, importing the state vectors of animals into the physical sign similarity evaluation model to evaluate the state similarity between animals; Construct an individual infection model and import the similarity of physical signs between animals into the individual infection model to evaluate the individual infection ability of animals; Construct a disease transmission model and import the individual infectious ability of infected animals into the disease transmission model to assess the risk of infection of other animals; Construct an infection warning model and import the animal infection probability into the infection warning model for early warning.

[0020] It should be specifically explained in this embodiment that obtaining the physiological data and behavioral data of the animal and generating the state vector of the animal includes the following specific steps: S11. Acquire the physiological data and behavioral data of the animal through the smart wearable device, and collect the environmental data of the animal's residence through the environmental monitoring module, wherein the physiological data include body temperature, heart rate, and respiratory rate, and the behavioral data include exercise volume, water intake, and food intake; S12, generating a physiological parameter vector from the acquired physiological data of the animal, and generating a behavioral parameter vector from the acquired behavioral data of the animal, wherein the physiological parameter vector of the i-th animal is: , the behavioral parameter vector of the i-th animal is: , where a is body temperature, b is heart rate, c is respiratory rate, d is exercise volume, e is food intake, and f is water intake; S13, the physiological parameter vector and the behavioral parameter vector are combined into the state vector of the animal, wherein the state vector of the i-th animal is expressed as: .

[0021] It should be specifically explained in this embodiment that constructing a physical sign similarity evaluation model and importing the state vectors of animals into the physical sign similarity evaluation model to evaluate the state similarity between animals includes the following specific steps: Substitute the state vectors between animals into the cosine similarity calculation formula between animals to calculate the similarity of animal signs. The similarity of signs between the i-th infected animal and the j-th animal is: ,in, is the state vector of the i-th infected animal, is the state vector of the jth animal, and They are the modulus of the state vector of the i-th infected animal and the modulus of the state vector of the j-th animal, respectively. By calculating the similarity of physical signs between infected animals and individual animals, the similarity of the traits of infected individuals and normal individuals is evaluated.

[0022] It should be specifically explained in this embodiment that constructing an individual infection model and importing the similarity of physical signs between animals into the individual infection model to evaluate the individual infection ability of animals includes the following specific steps: S31. Substituting the monitored temperature and humidity index and the ammonia concentration in the animal residence into the environmental index calculation formula to evaluate the animal's environment, wherein the animal residence environmental index calculation formula is: ,in, is the ammonia concentration in the animal housing, is the ammonia concentration threshold of the animal residence, THI is the temperature and humidity index of the animal residence, and is the weight, and The value of is obtained from historical data and expert evaluation. The temperature and humidity index and the ammonia concentration in the animal housing are used to jointly evaluate the animal housing environment. The higher the value, the stronger the environment's promotion of disease transmission and the increased risk of infection. The temperature and humidity index is obtained by the temperature and humidity sensor. S32. Substitute the similarity of physical signs between the ith infected animal and the jth animal into the individual infectious capacity formula to evaluate the individual infectious capacity of the ith infected animal, wherein the individual infectious capacity evaluation formula of the ith infected animal is: ,in, is the pathogen basic infection rate, k is the incubation period adjustment factor, which is used to control the time decay rate, is the incubation period, P is the duration of infection symptoms in the ith animal, and the infection capacity of infected animals is comprehensively evaluated through the animal housing environment, the basic pathogen infection rate and the similarity of physical signs. The higher the similarity between individual animals and infected animals, the stronger the infectiousness. The influence of the incubation period is controlled by adjusting the length of the incubation period, and the infectiousness reaches a peak in the late incubation period.

[0023] It should be specifically explained in this embodiment that constructing a disease transmission model and importing the individual infectious ability of infected animals into the disease transmission model to evaluate the infection risk of other animals includes the following specific steps: S41. Substitute the individual infectious capacity of the i-th infected animal into the spatiotemporal transmission dynamics formula to estimate the probability of the infected animal infecting other animals, where the spatiotemporal transmission dynamics formula is: ,in, is the infection probability of the jth animal at time t, N is the number of infected animals that have come into contact with the jth animal, is the contact frequency between the ith infected animal and the jth animal, is the population recovery rate of the infectious disease, where the frequency of contact between the i-th infected animal and the j-th animal is calculated as: ,in, is the overlapping duration of the movement trajectories of the ith animal and the jth animal within T time, is the distance attenuation coefficient, is the distance between the i-th infected animal and the j-th animal. The intersection of animals is determined by the movement trajectory monitored by the smart wearable device. Since individual animals are in contact with surrounding infected animals, the infected animals carry the virus and are easy to spread. Therefore, the probability of animal infection itself is increased according to the infectious ability and contact frequency of the infected animals. At the same time, due to the immunity and recovery of the animal group, the probability of infection decays over time, and the decay rate is determined by the recovery rate. Therefore, the infection decay term is used in the formula to correct the formula; S42. Differentiate the spatiotemporal transmission dynamics formula to obtain the infection probability of the jth animal at time t , assess the infection risk of the jth animal at time t.

[0024] It should be specifically explained in this embodiment that constructing an infection early warning model and importing the animal infection probability into the infection early warning model for early warning includes the following specific steps: S51. Compare the animal infection probability with the infection probability threshold. If it exceeds the threshold range, isolate it immediately, take samples to detect pathogens, and conduct preventive treatment. If it is within the threshold range, strengthen the detection of physiological parameters and behavioral parameters; S52. Substituting the number of warning animals into the group infection rate calculation formula to evaluate the group infection rate, wherein the group infection rate calculation formula is: , where V is the number of warning animals, Q is the number of infected animals, and M is the total number of animals. The group infection rate is compared with the group infection threshold, and a warning is issued to the breeder based on the group infection rate, and emergency plans are taken for the animals.

[0025] It should be noted here that the infection probability threshold is determined by obtaining representative historical animal infection data and importing it into the spatiotemporal transmission dynamics formula to calculate the infection probability, obtaining experts' assessments of these infection rates, infection ranges, and intensities, importing the infection results into the fitting software, and outputting the value of the infection probability threshold that meets the requirements.

[0026] The advantages of this embodiment over the prior art are as follows: the environmental conditions of animal dwellings are evaluated through the temperature and humidity index and the ammonia concentration in the animal dwellings, the environmental conditions of animal dwellings, the basic infectious rate of pathogens, and the similarity of physical signs between individual animals and infected animals are introduced into the individual infection model to comprehensively evaluate the infectious ability of infected animals, thereby improving the accuracy of monitoring the infectious ability of individual animals, the infectious ability of infected animals that individual animals have contacted, the contact frequency, and the disease recovery rate of animals are introduced into the disease transmission model to evaluate the risk of infection of other animals, the intersection of animals is judged through the movement trajectory monitored by smart wearable devices, and the probability of animal self-infection is increased according to the infectious ability and contact frequency of infected animals, and at the same time, based on the immunity and recovery of animal groups, the probability of infection decays over time, which improves the accuracy of infection probability calculation and further improves the accuracy of early warning effect.

[0027] Example 2

[0028] like Figure 4As shown, the real-time animal health monitoring system based on smart wearable devices is implemented based on the above-mentioned real-time animal health monitoring method based on smart wearable devices, and specifically includes a data acquisition module, a physical sign similarity evaluation module, an individual infectious ability evaluation module, a disease transmission module and an infection warning module. The data acquisition module is used to obtain the physiological data and behavioral data of the animal and generate the state vector of the animal; the physical sign similarity evaluation module is used to evaluate the state similarity between two animals, and the individual infectious ability evaluation module is used to evaluate the individual infectious ability of the animal; the disease transmission module is used to evaluate the infection risk of other animals; the infection warning module is used for infection warning of infected animals and animal groups.

[0029] Example 3

[0030] This embodiment provides an electronic device, including: a processor and a memory, wherein the memory stores a computer program that can be called by the processor; The processor executes the above-mentioned method for real-time monitoring of individual animal health based on smart wearable devices by calling the computer program stored in the memory.

[0031] The electronic device may have relatively large differences due to different configurations or performances, and may include one or more processors (Central Processing Units, CPU) and one or more memories, wherein the memory stores at least one computer program, and the computer program is loaded and executed by the processor to implement the real-time monitoring method of individual animal health based on smart wearable devices provided in the above method embodiment. The electronic device may also include other components for realizing the functions of the device, for example, the electronic device may also have components such as wired or wireless network interfaces and input and output interfaces to input and output data. This embodiment will not be described in detail here.

[0032] Example 4

[0033] This embodiment provides a computer-readable storage medium having a rewritable computer program stored thereon; When the computer program runs on a computer device, the computer device executes the above-mentioned method for real-time monitoring of individual animal health based on smart wearable devices.

[0034] For example, the computer readable storage medium can be a read-only memory (ROM), a random access memory (RAM), a compact disc (CD-ROM), a magnetic tape, a floppy disk, an optical data storage device, etc.

[0035] The above embodiments can be implemented in whole or in part by software, hardware, firmware or any other combination. When implemented by software, the above embodiments can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions or computer programs. When a computer instruction or computer program is loaded or executed on a computer, a process or function according to an embodiment of the present invention is generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network or other programmable device. Computer instructions can be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, computer instructions can be transmitted from one website site, computer, server or data center to another website site, computer, server or data center through a wired network or / and a wireless network. The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device such as a server or data center that contains one or more available media sets. The available medium can be a magnetic medium (for example, a floppy disk, a hard disk, a tape), an optical medium (for example, a DVD), or a semiconductor medium. The semiconductor medium can be a solid-state hard disk.

Claims

1. A method for real-time monitoring of individual animal health based on smart wearable devices, characterized in that: It includes the following specific steps: Obtain the animal's physiological data and behavioral data and generate the animal's state vector; Constructing a physical sign similarity evaluation model, importing the state vectors of animals into the physical sign similarity evaluation model to evaluate the state similarity between animals; Construct an individual infection model, evaluate the animal housing environment through the temperature and humidity index and the ammonia concentration of the animal housing, and import the animal housing environment, the pathogen basic infection rate and the similarity of the physical signs of the individual animal and the infected animal into the individual infection model to comprehensively evaluate the infectious ability of the infected animal; Construct a disease transmission model, and import the infectious ability, contact frequency, and disease recovery rate of infected animals that individual animals come into contact with into the disease transmission model to assess the risk of infection of other animals; Construct an infection warning model and import the animal infection probability into the infection warning model for early warning.

2. The method for real-time monitoring of individual animal health based on a smart wearable device according to claim 1, characterized in that: The construction of the individual infection model and the introduction of the similarity of physical signs between animals into the individual infection model to evaluate the individual infection ability of animals include the following specific steps: S11, obtaining the temperature and humidity index and ammonia concentration of the animal residence, evaluating the environmental conditions of the animal residence through the temperature and humidity index and the ammonia concentration of the animal residence, and calculating the animal residence environmental index through the animal residence environmental index calculation formula; S12. Comprehensively evaluate the infectious ability of infected animals based on the animal housing environment, the basic infectious rate of pathogens, and the similarity of physical signs between individual animals and infected animals. Obtain the similarity of physical signs between individual animals and infected animals, control the impact of the incubation period on the health status of animals through the length of the incubation period, and evaluate the infectious ability of infected animals based on the basic infectious rate of pathogens and the animal housing environment index.

3. The method for real-time monitoring of individual animal health based on a smart wearable device according to claim 2, characterized in that: The construction of the disease transmission model and the introduction of the individual infectious ability of infected animals into the disease transmission model to evaluate the infection risk of other animals include the following specific steps: S21. Substitute the individual infectious capacity of the i-th infected animal into the spatiotemporal transmission dynamics formula to estimate the probability of the infected animal infecting other animals. The spatiotemporal transmission dynamics formula is: ,in is the infection probability of the jth animal at time t, N is the number of infected animals that have come into contact with the jth animal, is the contact frequency between the ith infected animal and the jth animal, is the population recovery rate of the infectious disease, where the frequency of contact between the i-th infected animal and the j-th animal is calculated as: ,in, is the overlapping duration of the movement trajectories of the ith animal and the jth animal within T time, is the distance attenuation coefficient, is the distance between the i-th infected animal and the j-th animal; S22. Differentiate the spatiotemporal transmission dynamics formula to obtain the infection probability of the jth animal at time t , assess the infection risk of the jth animal at time t.

4. The method for real-time monitoring of individual animal health based on a smart wearable device according to claim 3, characterized in that: Constructing an infection early warning model and importing the probability of animal infection into the infection early warning model for early warning includes the following specific steps: S31. Compare the animal infection probability with the infection probability threshold. If it exceeds the threshold range, isolate it immediately, take samples to detect pathogens, and carry out preventive treatment. If it is within the threshold range, strengthen the detection of physiological parameters and behavioral parameters; S32. Substituting the number of warning animals into the group infection rate calculation formula to evaluate the group infection rate, wherein the group infection rate calculation formula is: , where V is the number of warning animals, Q is the number of infected animals, and M is the total number of animals. Emergency plans are taken for animals based on the group infection rate.

5. The method for real-time monitoring of individual animal health based on smart wearable devices according to claim 4, characterized in that: The step of obtaining the physiological data and behavioral data of the animal and generating the state vector of the animal comprises the following specific steps: S41, obtaining the physiological data and behavioral data of the animal through the smart wearable device, and collecting the animal's housing environment data through the environmental monitoring module; S42, combining the physiological parameter vector and the behavioral parameter vector into a state vector of the animal, wherein the state vector of the i-th animal is expressed as: , where a is body temperature, b is heart rate, c is respiratory rate, d is exercise volume, e is food intake, and f is water intake.

6. The method for real-time monitoring of individual animal health based on a smart wearable device according to claim 5, characterized in that: The process of constructing a physical sign similarity evaluation model and importing the state vectors of the animals into the physical sign similarity evaluation model to evaluate the state similarity between the animals comprises the following specific steps: The state vectors between animals are substituted into the cosine similarity calculation formula between animals to calculate the similarity of animal signs, the similarity of signs between infected animals and individual animals is calculated, and the similarity between the states of infected individuals and ordinary individuals is evaluated.

7. A system for real-time monitoring of individual animal health based on smart wearable devices, which is implemented based on the method for real-time monitoring of individual animal health based on smart wearable devices as claimed in any one of claims 1 to 6, characterized in that: Specifically include: A data acquisition module is used to acquire physiological data and behavioral data of animals and generate a state vector of the animals; The physical sign similarity assessment module is used to assess the similarity of the status between two animals; Individual infectious capacity assessment module, used to assess the individual infectious capacity of animals; A disease transmission module to assess the risk of infection to other animals; Infection warning module, used for early warning of infection of infected animals and animal groups.

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