Design And Implementation Of Pig Disease Remote Diagnosis System Based On Smart Phone

With the development of large-scale and intensive pig industry,the swine disease is becoming more serious,which has seriously hampered the rapid development of the pig industry.The remote pig-disease diagnosis system used mobile phone as a platform,its development and application not only provide farmers with scientific,numerous and illustrated pig disease information,but also enable farmers to upload swine disease information anytime and anywhere and look for the experts immediately to solve the problem of the pig disease.This diagnosis system is a good solution to the problem of pig-disease,which caused by the shortage of experts and veterinary professional staff,backward technology promotion of pig disease diagnosis and treatment.It is an convenient and tast diagnostic tool for pig disease.This study designed the framework and functional modules of the pig-disease remote diagnosis system,studied on intelligent diagnosis reasoning process and obtained knowledge related to pig-disease by analyzing the needs of different users and software development.This research choosed appcan and eclipse as the foreground and background of the system development tools respectively.The HTML5,CSS3,Java Script,Ajax technology,the Spring + sturts + Hibernate framework and the Tomcat server applied to write the pig disease remote diagnosis of mobile terminal software and complete the the server-side data stored procedures.Pig disease remote diagnosis system for smart phone mainly consists of user management,intelligent diagnosis,expert knowledge base,real-time online,on our seven major components.The main function of pig-disease remote diagnosis system is as follows: 1.Design and Implementation of intelligent diagnosis functionThe pig disease symptoms were then processed into ordering,quantization and two-dimensional processing by using fuzzy mathematics principle to formed pig disease diagnosis card.And the intelligent diagnosis of swine disease wered implemented according to the mixed reasoning mechanism.when diagnosis.The users according to prompts to fill out and submit epidemiological information of herd,and then check the relevant boxes based on the selection of the main symptoms of pig-disease.At last the system can make a diagnosis automatically.Finally the system can provide auxiliary inspection according to the diagnosis results,then make the final diagnosis through laboratory examination results.2.Implementation of pig disease online diagnosis functionThe users can use camera,video chat and other functions of smartphone to realize communication with experts.The diagnostic methods include expert diagnosis and expert consultation diagnostic.The users can select the appropriate experts according to the expert information to make an appointment and disease diagnosis.These users sent relevant diseases information and data timely to experts in the field through smart phone.Knowledgeble experts who own rich clinical experiences can make suggestions,disease treatment measures and solutions via a smart phone anytime and anywhere.While some complicated disease can not be made the diagnosis timely,users need to choose expert consultations diagnose.3.Implement of pig disease knowledge base and real-time dynamic functionThe study obtained the pig disease knowledge by artificial method and organized knowledge by using SQL server database management system.First,24 kinds of common-occurring pig diseases was selected as template.Mover,their concept,prevalence,clinical diagnostic features,pathological diagnostic features,prevention advice,pictures and related laboratory diagnosis method,video and other datas were collected.After that,pig disease knowledge base was builded.Users can use smart phones to browse the contents of the pig knowledge base and get some disease basic knowledge introduction,recommendations for the prevention and control measures and some recommended immunization schedule for poultry disease.Users can use some pig disease trend,control measures and market price of animal products timely.The study adopted the appcan,eclipse and SQL sever database technology to build a comprehensive network platform of pig disease auxiliary diagnosis.It selected smartphones as application platform,has the characteristics of convenient and intuitive.Break through the barriers of time and space for the exchange between experts and farmers to provide a variety of communication platforms,the users can remotemly diagnose pig disease,learing and inquiry knowledge in time by their smartphone,to help farmers solve problem of pig disease in swine production.It can be provide the technical support for the informationization development of pig industry,has broad prospects for development.