Design And Implementation Of Smart Home Information System Based On Big Data

Under the influence of Internet technology,artificial intelligence and information technology,the electric automatic industry has been greatly developed,and it also promotes the development of the intelligent home industry.At present,intelligent products occupy an extremely important part in the process of people’s work and life.At present,the integration of electronic devices is gradually improving,and the update iteration speed is accelerating,which brings great opportunities for the development of smart home industrial structure.Based on the historical data,it is found that the user behavior data and demand will change with the passage of time.In order to accurately grasp the user’s dynamic interests,companies need to infer the user’s future behavior through the past user data.Therefore,it is the best choice to research and design a smart home information system based on big data for the public.Based on the actual needs of users,this mission accepts a dispersed design system to proposal a smart home material administration system based on big data.In the progression of organization enterprise,Hadoop framework is introduced to integrate with smart home management to ensure that users are provided with a highly flexible,locked and extendible smart home organization system.The key work of this tabloid is as follows:1.This paper analyzes the development status of smart home industry at home and abroad,and briefly analyzes ZigBee wireless transmission technology,information sensor technology,cloud computing technology and Hadoop big data platform.Then,according to the demand of smart home information management system,the main research scheme of this topic is put forward.2.The design of smart home information management system based on big data adopts distributed computing framework Hadoop framework.At the same time,in order to meet the needs of multi-user and multi environment,it needs to ensure high concurrency.When scheduling system tasks,it uses the improved genetic ant colony algorithm based on multi-dimensional constraint objectives.Simulation results show that the optimized genetic ant colony algorithm is efficient,It can effectively improve the user experience.3.According to the requirements of business logic and development standards,the project is divided into five different levels:presentation,control,business logic,database access and data.Then,combined with the specific business needs,the system is divided into user login,data information management,video monitoring,electrical equipment control module.Because we want to improve the lower interest rate of safe operation,we basically use black and white box to test,so as to guarantee the stable operation of the system.