| China is recognized as a large agricultural country.In this perceptive,grain is not merely of the essential material basis,but also the crucial strategic reserve of the country.It has significant strategic meaning to national development,and also an essential part in people’s livelihood as daily commodity.However,in the process of grain production,which includes storage as well as circulating,the lost of stored grains is very likely to occur through each link of production.Among this,approximately 30 percent of grain loss can be attributed to harmful pests during the flow and storage of food.In the context above,through research and study,it is found that a great deal of pest data information has been generated when encountered by users of grassroot users in their storage in daily life or work-which,unfortunately,has not been effectively utilized.On the other hand,expert users also expect on access to those stored-grain pest data across the country.Therefore,it is hoped that through the technology learned,an expert feedback system for multi-user types of stored grain pest control will be developed to not only to help grain users reduce food losses,but also to provide the data base for pest research for expert users.The main work done in this paper is as follows:1.This paper analyzed the relevant background,significance and research status of the system,then the paper analyzed the needs of the system-oriented grain storage users,expert users and the administrator user,and concluded the functional goals that the system needs to realize.2.Starting According to the functional objectives that the system needs to implement,this paper analyzed the key technologies and frameworks used in the development process,and designed the overall architecture of the system.Finally,the data mobel and data table were designed for the database of the system.3.Based on the SpringBoot framework and SQL Sever database,the paper implemented the API service of the back-end management system,including providing user API,storage grain API etc.These APIs provides support for the mobile App and the front-end Web of the background management system.Based on the Vue framework and the Element-UI component library,the paper designed and implemented the front-end website of the background management system.The administrator manages various types of data such as system basic information management,user management and system data management through the Web.4.The paper used the Foundation framework and UIKit framework to realize the development of the mobile App of the system.The App facing the users of the storge grain base includes functions of uploading the pest data,viewing the feedback function of the expert etc.The App facing the users of expert includes functions of viewing pest data,posting feedback,viewing questions from storge grain base users ect.5.The paper completed the post-testing work of the system,and tested the system App and Web from functional test and performance test.The function modules of the App and Web can be used normally,and the App has good performance according the test indicators such as memory usage,CPU usage,memory leak etc.According to memory usage,CPU usage,page load time etc,the Web has good performance as well. |