CN-121812201-B - Chicken coccidiosis early warning method, device, equipment, storage medium and program product

CN121812201BCN 121812201 BCN121812201 BCN 121812201BCN-121812201-B

Abstract

The application relates to the technical fields of intelligent breeding, bioinformatics and artificial intelligence intersection, and provides a chicken coccidiosis early warning method, device, equipment, storage medium and program product, which have stronger anti-interference capability in chicken coccidiosis early warning. According to sound wave data and video data in a current time window, a sound print characteristic vector and a body state characteristic vector of a chicken are obtained to obtain a disease posterior probability and a group infection index, the group infection index is input into a preset chicken coccidiosis SIR-Coccidia propagation dynamics model to perform epidemic evolution simulation of a future time step, when a result of the epidemic evolution simulation exceeds a preset safety threshold, a preliminary prevention and control strategy is generated based on a multi-objective optimization algorithm, compliance matching processing is performed on the preliminary prevention and control strategy and a preset veterinary prevention and control knowledge base, a corrected prevention and control strategy is obtained, risk prediction is performed, and a target early warning instruction set is generated.

Inventors

CAI HAIMING
ZHU YIBIN
ZHANG XIAOHUI
ZHANG JIANFEI
SUN MINGFEI
LIAO SHENQUAN
Qi nanshan
LI JUAN
LV MINNA
LIN XUHUI
Song yongle
CHEN XIANGJIE

Assignees

广东省农业科学院动物卫生研究所

Dates

Publication Date: 20260508
Application Date: 20260311

Claims (10)

1. A method for pre-warning chicken coccidiosis, the method comprising: Performing time alignment and space coordinate mapping on sound wave data and video data in a chicken raising environment to obtain a standardized monitoring data set containing space-time consistency so as to determine sound wave data and video data of the chicken in a current time window; According to the sound wave data and the video data of the chicken in the current time window, obtaining the sound wave characteristic vector and the posture characteristic vector of the chicken; Obtaining a voiceprint abnormality index according to the voiceprint feature vector of the chicken, and obtaining a posture abnormality index according to the posture feature vector; obtaining a multi-mode joint feature representation according to the voiceprint feature vector and the body state feature vector; Taking the multi-mode joint feature representation, the voiceprint anomaly index and the body anomaly index as observation evidences and taking the environmental parameter data in the current time window as a priori probability condition; performing Bayesian inference according to the observation evidence and the prior probability condition to obtain the disease posterior probability of the chicken in the current time window only; obtaining a group infection index of each chicken in a monitoring area in a current time window according to the disease posterior probability of the chicken in the monitoring area in the current time window; inputting the group infection index into a preset chicken coccidiosis SIR-Coccidia propagation dynamics model to perform epidemic evolution simulation of a future time step; when the epidemic evolution simulation result exceeds a preset safety threshold, acquiring a multi-objective optimization function which aims at minimizing the epidemic situation diffusivity, minimizing the drug cost and minimizing the drug residue risk, wherein decision variables in the multi-objective optimization function comprise the rotating speed of a fan, the type of the drug and the drug administration concentration; Searching the pareto optimal front edge in a solution space by utilizing an NSGA-II algorithm according to the multi-objective optimization function, selecting a fan rotating speed value, a medicine type value and an administration concentration value corresponding to an optimal solution to obtain a preliminary prevention and control strategy, and carrying out compliance matching treatment on the preliminary prevention and control strategy and a preset veterinary prevention and control knowledge base to obtain a corrected prevention and control strategy; Performing secondary deduction according to the corrected prevention and control strategy and the chicken coccidiosis SIR-Coccidia propagation dynamics model; and when the secondary deduction result meets the preset condition, obtaining a target early warning instruction set containing an environment regulation instruction and an administration suggestion according to the corrected prevention and control strategy.
2. The method of claim 1, wherein time alignment and spatial coordinate mapping of sonic and video data in a chicken raising environment results in a standardized monitoring data set comprising spatiotemporal consistency, comprising: After time alignment is carried out on sound wave data and video data in the chicken raising environment, noise reduction is carried out on the sound wave data, and key frame extraction is carried out on the video data; According to the conversion matrix of the spatial positioning coordinate system and the physical world coordinate system of the pickup array and the conversion matrix of the pixel coordinate system and the physical world coordinate system of the camera, mapping the sound wave data after noise reduction and the video data after key frame extraction into a unified three-dimensional space grid to obtain a standardized monitoring data set containing space-time consistency, wherein the sound wave data is collected through the pickup array, and the video data is collected through the camera.
3. The method of claim 1, wherein inputting the population infection index into a pre-set chicken coccidiosis SIR-Coccidia propagation dynamics model for future time step epidemic evolution simulation, comprising: Correcting parameters influenced by temperature and parameters influenced by humidity in a preset chicken coccidiosis SIR-Coccidia propagation dynamics model according to temperature data and humidity data of a current time window to obtain a corrected chicken coccidiosis SIR-Coccidia propagation dynamics model; And carrying out epidemic evolution simulation of a future time step according to the group infection index and the corrected chicken coccidiosis SIR-Coccidia propagation dynamics model.
4. A method according to any one of claims 1 to 3, wherein deriving a population infection index for each chicken in a monitored area over a current time window based on posterior probabilities of disease for said monitored area over said current time window comprises: And calculating weighted average of the posterior probability of illness of all chickens in the monitoring area in the current time window to obtain the group infection index of the monitoring area in the current time window.
5. An early warning device for chicken coccidiosis, characterized in that the device comprises: The data processing module is used for carrying out time alignment and space coordinate mapping on sound wave data and video data in the chicken raising environment to obtain a standardized monitoring data set containing space-time consistency so as to determine the sound wave data and the video data of the chicken in the current time window; the characteristic vector acquisition module is used for acquiring the voiceprint characteristic vector and the morphological characteristic vector of the chicken according to the acoustic data and the video data of the chicken in the current time window; The disease probability prediction module is used for obtaining a voiceprint abnormal index according to the voiceprint characteristic vector of the chicken and a body state abnormal index according to the body state characteristic vector, obtaining a multi-mode joint characteristic representation according to the voiceprint characteristic vector and the body state characteristic vector, taking the multi-mode joint characteristic representation, the voiceprint abnormal index and the body state abnormal index as observation evidences, taking environmental parameter data in a current time window as prior probability conditions, and carrying out Bayesian inference according to the observation evidences and the prior probability conditions to obtain the disease posterior probability of the chicken in the current time window; The group infection index determining module is used for obtaining the group infection index of the monitoring area in the current time window according to the disease posterior probability of each chicken in the monitoring area in the current time window; the epidemic evolution simulation module is used for inputting the group infection index into a preset chicken coccidiosis SIR-Coccidia propagation dynamics model to perform future time step epidemic evolution simulation; The strategy processing module is used for acquiring a multi-objective optimization function aiming at minimizing epidemic situation diffusivity, medicine cost and medicine residue risk when an epidemic situation evolution simulation result exceeds a preset safety threshold; according to the multi-objective optimization function, searching the pareto optimal front edge in a solution space by utilizing an NSGA-II algorithm, selecting a fan rotating speed value, a medicine type value and a medicine concentration value corresponding to an optimal solution to obtain a preliminary prevention and control strategy, and carrying out compliance matching treatment on the preliminary prevention and control strategy and a preset veterinary prevention and control knowledge base to obtain a corrected prevention and control strategy; The instruction set generation module is used for carrying out secondary deduction according to the corrected prevention and control strategy and the chicken coccidiosis SIR-Coccidia propagation dynamics model, and when the secondary deduction result meets the preset condition, a target early warning instruction set containing an environment regulation instruction and an administration suggestion is obtained according to the corrected prevention and control strategy.
6. The apparatus of claim 5, wherein the data processing module is configured to: After time alignment is carried out on sound wave data and video data in the chicken raising environment, noise reduction is carried out on the sound wave data, and key frame extraction is carried out on the video data; According to the conversion matrix of the spatial positioning coordinate system and the physical world coordinate system of the pickup array and the conversion matrix of the pixel coordinate system and the physical world coordinate system of the camera, mapping the sound wave data after noise reduction and the video data after key frame extraction into a unified three-dimensional space grid to obtain a standardized monitoring data set containing space-time consistency, wherein the sound wave data is collected through the pickup array, and the video data is collected through the camera.
7. The apparatus of claim 5, wherein the epidemic evolution simulation module is configured to: Correcting parameters influenced by temperature and parameters influenced by humidity in a preset chicken coccidiosis SIR-Coccidia propagation dynamics model according to temperature data and humidity data of a current time window to obtain a corrected chicken coccidiosis SIR-Coccidia propagation dynamics model; And carrying out epidemic evolution simulation of a future time step according to the group infection index and the corrected chicken coccidiosis SIR-Coccidia propagation dynamics model.
8. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor implements the steps of the method of any of claims 1 to 4 when the computer program is executed.
9. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the method of any of claims 1 to 4.
10. A computer program product comprising a computer program, characterized in that the computer program, when executed by a processor, implements the steps of the method of any of claims 1 to 4.

Description

Chicken coccidiosis early warning method, device, equipment, storage medium and program product Technical Field The application relates to the technical fields of intelligent breeding, bioinformatics and artificial intelligence intersection, in particular to a chicken coccidiosis early warning method, a chicken coccidiosis early warning device, a chicken coccidiosis early warning computer device, a chicken coccidiosis early warning storage medium and a chicken coccidiosis early warning storage medium. Background Chicken coccidiosis (Coccidiosis) is an acute or chronic protozoal disease caused by Eimeria coccidiosis parasitizing in chicken intestinal epithelial cells. The disease is distributed worldwide and is one of the most serious parasitic diseases causing economic loss of poultry farming industry. Traditional monitoring means mainly rely on manual blood stool observation or microscopic examination, and have extremely strong hysteresis. When obvious bloody stool is seen visually, the chicken intestinal tract is severely damaged, missing the optimal treatment window. In the prior art, although an intelligent monitoring scheme based on a single mode (sound or image) appears, the anti-interference capability of the mode is weak, because the henhouse environment is complex, single sound monitoring is easy to be interfered by fan noise, and single vision monitoring is easy to be influenced by illumination change and shielding. In addition, the existing monitoring scheme lacks prediction capability based on epidemic disease transmission mechanism, can not quantitatively deduce future epidemic situation trend in sub-clinical period, and usually only stops to alarm, and can not automatically generate closed-loop prevention and control strategy meeting veterinary specifications. Disclosure of Invention Based on the foregoing, it is necessary to provide a chicken coccidiosis early warning method, a chicken coccidiosis early warning device, a chicken coccidiosis early warning computer device, a chicken coccidiosis storage medium and a chicken coccidiosis early warning computer program product. The application provides a chicken coccidiosis early warning method, which comprises the following steps: Performing time alignment and space coordinate mapping on sound wave data and video data in a chicken raising environment to obtain a standardized monitoring data set containing space-time consistency so as to determine sound wave data and video data of the chicken in a current time window; According to the sound wave data and the video data of the chicken in the current time window, obtaining the sound wave characteristic vector and the posture characteristic vector of the chicken; Obtaining the disease posterior probability of the chicken in the current time window according to the voiceprint feature vector and the posture feature vector of the chicken; obtaining a group infection index of each chicken in a monitoring area in a current time window according to the disease posterior probability of the chicken in the monitoring area in the current time window; inputting the group infection index into a preset chicken coccidiosis SIR-Coccidia propagation dynamics model to perform epidemic evolution simulation of a future time step; when the epidemic evolution simulation result exceeds a preset safety threshold, generating a preliminary prevention and control strategy based on a multi-objective optimization algorithm, and carrying out compliance matching treatment on the preliminary prevention and control strategy and a preset veterinary prevention and control knowledge base to obtain a corrected prevention and control strategy; and carrying out risk prediction on the corrected prevention and control strategy to generate a target early warning instruction set containing an environment regulation instruction and an administration suggestion. The application provides a chicken coccidiosis early warning device, which comprises: The data processing module is used for carrying out time alignment and space coordinate mapping on sound wave data and video data in the chicken raising environment to obtain a standardized monitoring data set containing space-time consistency so as to determine the sound wave data and the video data of the chicken in the current time window; the characteristic vector acquisition module is used for acquiring the voiceprint characteristic vector and the morphological characteristic vector of the chicken according to the acoustic data and the video data of the chicken in the current time window; The disease probability prediction module is used for obtaining the disease posterior probability of the chicken in the current time window according to the voiceprint feature vector and the posture feature vector of the chicken; The group infection index determining module is used for obtaining the group infection index of the monitoring area in the current time window according to the disease posterior probabil