CN-122025197-A - Animal doctor microorganism aerosol acquisition system and analysis method for livestock and poultry farm

CN122025197ACN 122025197 ACN122025197 ACN 122025197ACN-122025197-A

Abstract

The invention belongs to the technical field of aerosol collection and analysis, and discloses a livestock and poultry farm veterinary microorganism aerosol collection system and an analysis method, wherein the system comprises a space-time environment perception scheduling module, a multi-source data sampling cooperative control module and a multi-source data fusion standardization module, and is used for automatically analyzing a microorganism sequence in a time database to obtain an active microbiome analysis report, carrying out simulation calculation according to a fluid mechanics algorithm and an infection risk model based on the time-space database and the active microbiome analysis report to obtain a pathogen transmission dynamic simulation report, converting the pathogen transmission dynamic simulation report, and comparing according to a conversion result and an infection threshold interval to obtain a biological safety risk early warning report to obtain a biological safety strategy optimization suggestion report.

Inventors

SHEN XUEHUAI
WANG JIERU
LIU YAYUN
LIU WEI
ZHAO RUIHONG
YIN LEI
LIU HUA
PAN XIAOCHENG
DAI YIN
HU XIAOMIAO
YIN DONGDONG

Assignees

安徽省农业科学院畜牧兽医研究所

Dates

Publication Date: 20260512
Application Date: 20251205

Claims (9)

1. The livestock farm veterinary microorganism aerosol acquisition system is characterized by comprising a space-time environment perception scheduling module, a multi-source data sampling cooperative control module and a multi-source data fusion standardization module, wherein: the space-time environment perception scheduling module is used for continuously collecting environment data collected by the environment sensor network, dynamically modeling according to a three-dimensional model of the livestock and poultry farm, identifying an abnormal region and generating a demand map to obtain a dynamic sampling demand report; The multi-source data sampling cooperative control module is used for analyzing the dynamic sampling requirement report to generate an executable multi-source data acquisition instruction sequence so as to obtain a space-time original data set; the multi-source data fusion standardization module is used for cleaning, aligning and fusing the space-time original data sets to obtain a space-time database.
2. The system for collecting the microbial aerosols from the livestock farm veterinarian according to claim 1, wherein the specific modes of continuously collecting the environmental data collected by the environmental sensor network, dynamically modeling according to the three-dimensional model of the livestock farm, and identifying the abnormal region and generating the demand pattern comprise: acquiring environmental data in real time based on an environmental sensor network, and binding an acquisition time stamp to each acquired data item to obtain an environmental data set; the method comprises the steps of calling a three-dimensional model of the livestock farm based on a database, and interpolating an environment data set into the three-dimensional model of the livestock farm in real time to obtain dynamic environment area data; based on the dynamic environment area data, comparing according to a preset biosafety threshold interval set to obtain an abnormal area; and packaging the abnormal region and the dynamic environment region data corresponding to the abnormal region to obtain a dynamic sampling requirement report.
3. The livestock farm veterinarian microbial aerosol collection system of claim 2, wherein the means for parsing the dynamic sampling demand report to generate the executable multi-source data collection instruction sequence comprises: analyzing the dynamic sampling requirement report to obtain a task report, wherein the analysis comprises a task of generating and collecting microorganism aerosol, a task of recording environmental data and a task of recording space-time labels for each abnormal region; generating a multi-source data acquisition instruction sequence based on the task report; And respectively outputting the multi-source data acquisition instruction sequences to the corresponding API interfaces, waiting for ready instructions of each API interface, and outputting commands of executing instructions to all the API interfaces after all the API interfaces return the ready instructions to obtain the space-time original data set.
4. A livestock farm veterinarian microbial aerosol collection system according to claim 3, wherein the specific means of cleaning, aligning and fusing the time-space raw data sets comprises: Cleaning a microbial gene sequence data set and an environmental data set in the space-time original data set to obtain a cleaning data set, wherein the cleaning comprises the steps of carrying out quality filtration on the microbial gene sequence data set and carrying out outlier rejection on the environmental data set; Taking the abnormal region ID and the sample ID as references, correlating the microorganism gene sequence data, the environment data and the space-time coordinate data at the same time point in the cleaning data set to obtain a fusion data set; and storing the fusion data set into a structured space-time database in the database by taking the time sequence and the space position as references to obtain the space-time database.
5. A method for analyzing animal farm veterinary microbial aerosols, characterized in that it is applied to an animal farm veterinary microbial aerosol collection system according to any of claims 1 to 4, said method comprising: S1, automatically analyzing a microorganism sequence in a time-space database to obtain an analysis report of an active microbiome; s2, based on a space-time database and an active microbiome analysis report, performing simulation calculation according to a fluid mechanics algorithm and an infection risk model to obtain a pathogen transmission dynamic simulation report; s3, converting the pathogen transmission dynamic simulation report, and comparing according to a conversion result and an infection threshold interval to obtain a biosafety risk early warning report; And S4, performing intervention strategy simulation based on the biosafety risk early warning report, and adjusting and optimizing parameters of the infection risk model according to an intervention strategy result to obtain a biosafety strategy optimization suggestion report.
6. The method for analyzing the aerosol of microorganisms in livestock and poultry farm according to claim 5, characterized in that the S1 comprises: s1.1, taking a latest fusion data set based on a database, and starting a standardized bioinformatics analysis flow for analysis to obtain an analysis result report, wherein the analysis comprises microorganism species type analysis, microorganism abundance analysis, microorganism resistance gene analysis and virulence factor annotation; s1.2, generating a regional active microbiome analysis report for each abnormal region ID based on the analysis result report, and packaging to obtain an active microbiome analysis report; and S1.3, storing the analysis report of the active microbiome into a database based on the sample ID, and correlating the analysis report with the structured space-time database.
7. The method for analyzing the aerosol of microorganisms in livestock and poultry farm according to claim 5, characterized in that S2 comprises: S2.1, taking environmental data in a space-time database as boundary conditions, taking a three-dimensional model of a livestock and poultry field as a calculation domain, and calculating by using a hydrodynamic algorithm to obtain a space flow field and a turbulence diffusion coefficient field; S2.2, extracting active load of key pathogens in an active microbiome analysis report and corresponding sampling point space-time coordinate data to obtain a pathogen report, and setting the pathogen report as a multipoint point source release of an infection risk model; s2.3, running an infection risk model to simulate based on the analysis report of the active microbiome, and outputting to obtain a pathogen transmission dynamic simulation report.
8. The method for analyzing the aerosol of microorganisms in livestock and poultry farm according to claim 5, characterized in that the step S3 comprises: S3.1, mapping the infection risk probability in a pathogen transmission dynamic simulation report to a three-dimensional model of a livestock farm, and generating a real-time infection risk thermodynamic diagram by utilizing a color gradient; S3.2, mapping the space-time distribution of pathogen concentration in a pathogen transmission dynamic simulation report to a three-dimensional model of the livestock and poultry field, and analyzing the space-time evolution of the pathogen concentration to obtain an aerosol transmission path, wherein the analysis comprises the steps of identifying and marking a main transmission path of the aerosol from a release source to a high-risk area; S3.3, monitoring the average infection risk probability in a red area in the real-time infection risk thermodynamic diagram, and generating an infection alarm report when the average infection risk probability is greater than a preset alarm threshold; And S3.4, packaging the real-time infection risk thermodynamic diagram, the aerosol transmission path and the infection alarm report to obtain a biosafety risk early warning report.
9. The method for analyzing the aerosol of microorganisms in livestock and poultry farm according to claim 5, characterized in that S4 comprises: s4.1, generating a simulation intervention strategy result based on a biosafety risk early warning report; S4.2, generating model modification parameters based on simulation intervention strategy results, performing simulation operation on the infection risk model by using the model modification parameters, and outputting to obtain simulation operation results; s4.3, calculating the infection risk probability in the simulation operation result and the pathogen transmission dynamic simulation report to obtain a risk reduction rate; and S4.4, packaging risk reduction rates and priority recommendation schemes of all simulation intervention strategies.

Description

Animal doctor microorganism aerosol acquisition system and analysis method for livestock and poultry farm Technical Field The invention relates to the technical field of aerosol collection and analysis, in particular to a livestock and poultry farm veterinary microorganism aerosol collection system and an analysis method. Background The system and the method for collecting and analyzing the aerosol of the veterinary microorganisms in the livestock farm refer to a technical system for monitoring, capturing and analyzing pathogenic microorganisms (such as viruses, bacteria and fungi) suspended in aerosol form in the livestock and poultry raising environment and related biological factors thereof, and the core aims at evaluating the biological safety level of the livestock farm, early warning the risk of outbreak of diseases, and providing scientific basis for intervention measures such as precise disinfection, ventilation optimization and the like. However, the traditional livestock and poultry farm animal doctor microorganism aerosol collection system and analysis method mostly have the following defects in the use process, firstly, the traditional collection analysis system mostly relies on independent data collection equipment to conduct single-point and single-mode data collection, so that the problems of insufficient data support and data dispersion exist, the traceability and understanding cost of workers on epidemic disease occurrence environmental reasons are further increased, the prevention and control efficiency is low, secondly, the traditional collection analysis system is mostly limited in microorganism types and microorganism abundance, deep excavation is difficult to be conducted according to data, so that risk assessment stays on the surface, information support is difficult to be provided for follow-up prevention and control strategy measures, thirdly, most of traditional collection analysis systems stop at passive monitoring, the diffusion path of pathogen aerosol under complex environmental conditions is difficult to simulate, and the possible spreading risks of pathogen aerosol in livestock and poultry groups in specific immune states are more difficult to predict, so that workers can only passively respond to epidemic diseases, and effective and accurate early intervention is difficult to perform. In view of the above, the present invention provides a system and a method for collecting and analyzing aerosol of microorganisms in livestock farm. Disclosure of Invention In order to overcome the above drawbacks of the prior art, the present invention provides the following technical solutions, including: the space-time environment perception scheduling module is used for continuously acquiring environment data acquired by the environment sensor network, dynamically modeling according to the three-dimensional model of the livestock and poultry farm, identifying an abnormal region and generating a demand map to obtain a dynamic sampling demand report; Further, the specific modes of continuously collecting the environmental data collected by the environmental sensor network, dynamically modeling according to the three-dimensional model of the livestock and poultry farm, identifying the abnormal region and generating the demand pattern include: acquiring environmental data in real time based on an environmental sensor network, and binding an acquisition time stamp to each acquired data item to obtain an environmental data set; the method comprises the steps of calling a three-dimensional model of the livestock farm based on a database, and interpolating an environment data set into the three-dimensional model of the livestock farm in real time to obtain dynamic environment area data; based on the dynamic environment area data, comparing according to a preset biosafety threshold interval set to obtain an abnormal area; Packaging the abnormal region and the dynamic environment region data corresponding to the abnormal region to obtain a dynamic sampling requirement report; the multi-source data sampling cooperative control module is used for analyzing the dynamic sampling requirement report to generate an executable multi-source data acquisition instruction sequence so as to obtain a space-time original data set; Further, the specific way of analyzing the dynamic sampling requirement report to generate the executable multi-source data acquisition instruction sequence includes: analyzing the dynamic sampling requirement report to obtain a task report, wherein the analysis comprises a task of generating and collecting microorganism aerosol, a task of recording environmental data and a task of recording space-time labels for each abnormal region; generating a multi-source data acquisition instruction sequence based on the task report; respectively outputting the multi-source data acquisition instruction sequences to corresponding API interfaces, waiting for ready instructions of each API interface, a