Design And Implementation Of Smart Community System Based On SSM Framework

With the rapid development of information society,intelligent and networking community service become a tendency in today's Society.Today's community service platform has single function and poor scalability.Also it can't meet the user's complex business requirements.In order to improve this situation,this thesis presents a new intelligence community system that account system is divided by community,role and authority to confirm the safety and extensibility of the system.It can make the smart community system more humane by adding smart reminder and smart evaluation in traditional property services and community business services.In this way,we can truly meet the user's complex business requirements.In this thesis,we give a full-scale introduction to the smart community system in some aspects that are requirements,designs,implementations and tests.More than that,combine with Naive Bayes,we design and implement the business evaluation modules.The Naive Bayes has many characteristics like high accuracy,simple method,fast speed and so on.The main contents can be summed up as follows:(1)We use the object-oriented analysis to analyze the analysis of user.Starting with the role use cases,this thesis analyzes the role of community owners,community property managers,community business managers,community distribution managers.(2)Explaining some key technologies in this smart community system,we analyze Spring,SpringMvc,Mybatis from three aspects which are capability,using and frame advantage.Compare with the other frameworks,we can weigh the pros and cons and confirm the reason why we select.(3)According to the analysis of requirements,we give a total design,database design and functional module design.Integrate the system framework of the smart community system and realize the key modules by selecting reasonable form.(4)Test cases are written for the system's key modules and relevant test are conducted.And test is Satisfactory.This thesis break the Traditional scoring model in this evaluation of commerce merchant.Combine with Naive Bayes,we realize the evaluation function of owner towards online commerce merchant.This evaluation function is used to reduce the influence of the artificial evaluation operation.In this situation,the merchant's evaluation can be truly reflected.The reliability and Authenticity can be ensured.