| With the rapid development of animal husbandry,there are many problems in it.Biosafety,production management,environmental pollution,disease diagnosis and prevention,production traceability,etc.Due to the continuous development of the Internet of Things and its gradual application in animal husbandry industry,the animal husbandry industry is also constantly updating,and the Internet of things technology brings new opportunities for the transformation of the animal husbandry industry.Based on Internet of Things technology and 3D virtual reality technology,we developed 3D Internet of Things technology for pig farm visual management and remote diagnosis system.The specific research of this system is as follows:1.Use 3D modeling software to model the pig farm sceneIn this system,the scene of pig farm is first visited on the spot,and the scene of pig farm is recorded with photos and data.The scene of pig farm is modeled by 3D modeling software CamBuilder,which provides 3D model foundation for remote visual management and remote diagnosis of pig farm and can realize 3D display of pig farm scene.Thus,it is convenient to manage pig farms and realize intelligent and remote visualization of pig farm monitoring and management.2.Develop the visual web front end of pig farm with ThingJS platformThis system will be developed online through browsing ThingJS official website by computer.After development,it will be deployed on the website.Users can access the3D Internet of Things pig farm visual front page through computer browser.3.Develop the background of the system with PHP+Mysql technology The background of the system USES PHP script language,MySQL database and APACHE technology combination for web page development,system architecture using ThinkPHP framework to achieve.The functions of this system include:login function,information management function of pig farm personnel,basic information management function of pig farm,3D visual page management function of pig farm,monitoring function of pig farm environment data,monitoring function of production data,remote diagnosis function of pig disease and remote control function of Internet of things.4.Connect the IOT devices of pig farms to realize visual management and remote diagnosis functions This system through the Internet of things sensors(temperature and humidity,light intensity,methane,ammonia,hydrogen sulfide and other sensors and cameras)within the piggery farm and data information,use the wireless communication technology to the data transmission to system background,the background of remote monitoring and data analysis,implements the biological safety monitoring of pig out,pig environmental information monitoring and early warning,dangerous situation can be automatic alarm,realize the precise,intelligent,visualization and integration management.Connect all kinds of automatic regulating equipment of pig farm with Internet of things,remote control of pig farm skylight,fan,water curtain,wet curtain and other devices,realize centralized,remote,automatic and linkage control of pig farm production environment.With the continuous development of computer technology and communication technology,the remote diagnostic system is being developed,pig disease diagnosis can’t count on remote pig pictures,images,text,data uploading to conduct a preliminary diagnosis,also want to combine piggery farm environment and environmental information and the combination of laboratory diagnosis technology.The pig farm laboratory camera,communication tools and laboratory equipment were connected to the 3D Pig farm visualization system through the Internet of Things technology,and the remote video guided the experimental operation,experimental data transmission and experimental result analysis to realize the remote diagnosis of pig farm. After the system development is completed,it will be tested in the fattening pig farm of Anhui Huating Lake Green Food Development Co.LTD,and put the pig farm IOT device connected with this system,realized the remote monitoring of visual pig farm management,the background server remote receiving the pig farm laboratory PRRSV antibody enzyme-linked immunosorbent experiments(indirect method)test data and are analyzed and pig farm laboratory swine disease pathogen project data analysis and feedback to the pig farm to realize remote diagnosis. |
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