Development And Application Of Intelligent Biosafety And Disease Prevention And Control System In Large-scale Pig Farms

The spread of epidemic diseases in pig farms is an important factor affecting the development of pig industry.Biosafety is a scientific and effective means to reduce the risk of disease transmission in pig farms.Nowadays,the biosafety system in pig farms has high requirements for equipment and professionals,high cost and low efficiency.In the environment of "smart agriculture",we should use the data processing and data analysis capabilities of computer technology to help pig breeding enterprises realize intelligent and modern biosafety management and disease prevention and control,establish and improve the enterprise intelligent biosafety system,improve the effectiveness and accuracy of biosafety and disease prevention and control in large-scale pig farms,and reduce the risk of epidemic diseases in pig farms,At the same time,improve the biosafety management ability and disease prevention and control ability of pig farms.Aiming at the prevention and control of important epidemic diseases in pig production,this study selects a breeding farm and a fattening farm as the research object.Based on PHP programming language,My SQL database and B / S structure,combined with knowledge map and digital twin technology,this study determines the key points and key influencing factors of Biosafety and epidemic prevention and control in the process of pig production,and carries out real-time monitoring,recording and analysis of biosafety information in large-scale pig farms,Design the intelligent biosafety and disease prevention and control system process of large-scale pig farm.At the same time,the important diseases of pigs in pig farms are collected for disease information as an important basis for disease prevention and control.The disease information is collected through the collection of samples for laboratory testing,including bacterial isolation and identification;Virus identification;Antibody level detection.Realize the functional design of intelligent biosafety and disease prevention and control system of large-scale pig farm.The specific research contents are as follows:1.Construction of biosafety information management system in pig farmPig farm biosafety information management system is to assist pig farm managers to manage biosafety work.Through the analysis of the actual production needs of selected pig farms,we can understand the key points of biosafety and disease prevention and control in all links of pig farm production.According to the results of demand analysis,taking the screening of pig farm biosafety and disease prevention and control information as the main design principle of the system,the pig farm biosafety and disease prevention and control information management function module is designed by using PHP programming language and My SQL technology,including six modules: user information,pig farm information,risk information,pig information,environmental information and laboratory testing information.After the system debugging,the data can be uploaded,the laboratory diagnosis results of pig diseases fed back by the inspectors can be generated into a report,and the biosafety information and diagnosis information of large-scale pig farms can be collected and stored in the database as part of the early warning information,which lays a foundation for the realization of intelligent biosafety and disease prevention and control system of large-scale pig farms.2.Construction of biosafety epidemic disease early warning system in pig farmThe pig farm epidemic disease early warning system establishes a data risk analysis model after collecting the disease information and biosafety information of the pig farm,and provides epidemic disease early warning services for pig breeding enterprises through the collected disease information and biosafety information.By using digital twin technology to monitor the pig farm in real time,observe and analyze the state of pigs,which can be used for remote monitoring and remote control management of pig farm.Based on the knowledge map technology,establish the pig farm epidemic disease early warning system,retrieve the pig farm biosafety information and detection report uploaded in the system,establish a data risk analysis model,identify and analyze the biosafety information,as the basis of epidemic disease early warning,and generate a risk alarm.Enterprise managers can query the laboratory test report and other information through the risk alarm generated by the system to determine the source of risk information.Through the operation and debugging of the system,the whole process of important disease information in large-scale pig farms can be traced.3.Detection of important diseases in pig farms and application of detection functionIn the selected pig farm,the information data of important diseases in the pig farm were collected,and the tissue samples of diseased pigs were collected for laboratory pathogen detection of important viral diseases.A total of 201 samples were tested.Among them,the positive rate of porcine circovirus type II was 31%,the positive rate of other porcine pseudorabies virus was 4.3%,the positive rate of porcine reproductive and respiratory syndrome virus was 6.9%,the positive rate of porcine parvovirus was 10%,and the positive rate of classical swine fever virus was not detected.Escherichia coli,Actinobacillus pleuropneumoniae and Streptococcus suis were detected as important pathogens.The positive detection rate of Escherichia coli was 6.3%,that of Actinobacillus pleuropneumoniae was 14.3% and that of Streptococcus suis was 15.3%.A total of 2807 sera from finishing pigs were collected for immune antibody detection.Among them,the qualified rate of porcine pseudorabies(GB)was 82.8%,the qualified rate of porcine ring type II was 86.1%,the qualified rate of classical swine fever was84.7%,the qualified rate of porcine reproductive and respiratory syndrome was 80%,and the qualified rate of porcine foot-and-mouth disease was 97.1%.Upload the experimental data,diagnosis process,diagnosis results,treatment methods and expert suggestions to the system to generate a diagnosis and treatment report for farmers.In order to debug the relevant functions of epidemic disease early warning,the above disease information is generated into the diagnosis and treatment report in the system,the83 diagnosis and treatment reports generated in the system are analyzed for early warning,and 18 risk alarms are issued.The management personnel can view the relevant information through the epidemic disease early warning information in the system,such as risk pig information,building information,environmental information,inspection results,etc.It improves the ability of managers to find risks and improves the level of enterprise disease prevention and control.To sum up,this study aims at the biosafety and disease prevention and control of pig farms,and selects two large-scale pig farms as the research object.The system uses php and other technologies to build a large-scale pig farm intelligent biosafety and disease prevention and control system based on the analysis of biosafety information and disease information In production activities,according to the biosafety and disease prevention and control needs of large-scale pig farms,improve the data collection capacity and data management capacity of pig farms,improve the biosafety data of pig farms,and improve the informatization management level of large-scale pig farms;The digital early warning system can be constructed by using the knowledge map of epidemic diseases.Improve the intelligent biosafety level and disease prevention and control ability of pig farms.