Research And Implementation Of Living Mortgage Supervision Platform

In order to promote the modernized and large-scale development of dairy cattle breeding industry,several departments in China have jointly issued documents to push on the mortgage of living cows so as to provide funds for individual farmers and small and medium-sized dairy farms.But,there are many problems in living mortgage.On the one hand,living collateral itself has its own particularity,which is liable to damage by natural disasters and malicious replacement by people,so it is difficult to use living cows as collateral;on the other hand,dairy farms are usually located in remote areas,which requires a lot of manpower if staffs are frequently dispatched to the farms.Based on the above problems faced by living mortgage,combined with the actual business process of local banks,the Internet of things technology,the paper expounds the application of the popular front-end framework Vue.js,high-performance service-side technology Node.js,Axios technology,Websocket protocol and JWT open standard.The biological living mortgage supervision platform is designed and implemented according to the software development process.This paper analyzes the current research situation at home and abroad,consults relevant ranchers and financial practitioners,creatively bases on the activity of dairy cows to realize the supervision of living mortgage of dairy cows after field investigation to the dairy farms in local areas.The anomaly detection model of this system is realized by basing on long short-term memory so as to detect the data on abnormal activity of dairy cows in a time series,find out the potential health problems of mortgaged cows,malicious replacement behavior of debtors and failure of collectors in time.The system researched by this paper includes three parts:Internet of things monitoring module,biological mortgage loan application system and loan supervision information management system.The Internet of things monitoring module is responsible for uploading the activity data of dairy cows.The biological mortgage loan application system provides the function of applying for living mortgage and abnormality handling used by dairy cattle breeding practitioners.The loan supervision information management system is used by staffs to monitor cows,manage loan information and implement information management.The software testing of V model shows that the biological living mortgage supervision platform researched in the paper allows to effectively monitor the health status of the mortgaged dairy cows according to the activity data collected by the Internet of things monitoring module,and the working state of the collector,and detect whether the mortgaged cows have been the health status of the mortgaged dairy cows according to the activity data collected by the Internet of things monitoring module,and the working state of the collector,and detect whether the mortgaged cows are replaced by human maliciously replaced by people,thus reducing the risk of living mortgage loan and lowering the operating cost of relevant financial institutions.