Smart Node Design And Implementation Based On Sea-computing For Smart Classroom

With the development of Internet of Things and wireless sensor network technology,the WSN has been widely applied in smart planet,smart city,smart home,intelligent transportation and other aspects.Especially,the “Internet +” has been proposed,it greatly promote the development of Internet of Things,Coud Computing and Big Data,it is also basic of social life Intellectualization.Nevertheless,remarkable is that application and research of “Internet +” in education widely.However,the smart classroom of research is still lagging behind.Meanwhile,with the development and popularity of intelligent equipment and other modern,how to fully effective integration,use the school resources is becoming one of the hot topics.With development of Internet of Things,not only has played an important role in promoting the rapid development of utilization of educational resources,but also for the development of “Internet plus education” provides a new idea.Under the drive of “Internet plus education”,more methods and techniques,such as Internet technology,IoT technology,and cloud computing technology,have been applied to the research of building a smart classroom or improving its function.However,bottom device performance of smart classroom study very few yet at home,and research in this respect is also very little in abroad.Because of the operation efficiency of the intelligent classroom system to a large extent is impacted by bottom device performance.Therefore,the bottom device performance of smart classroom study is one of the essential points,among all the studies of improve the performance and efficiency of the intelligent classroom system.In this paper,two-tier architecture of smart classroom with Sea Computing is designed and built.At same time,build a new intelligent sensor node and then brings forward a smart classroom system combining of cloud computing technology and sea computing technology.The major work of this thesis is summarized as follows:1?Two-tier architecture of smart classroom based on sea computing is proposed.By analyzing the current smart classroom architecture based on Internet of Things deeply,this dissertation simplifies the classic three-tier IoT architecture and proposes a two-tier smart classroom architecture based on Internet of Things and sea computing technology.2?A kind of intelligent sensor node for smart classroom is designed and implemented.Across the functional analysis and technical research about the smart classroom that based on the sea computing mode,the intelligent sensor node applied in smart classroom is proposed and designed.This paper accomplishes node's overall design and the hardware circuit design,furthermore,the performance test and analysis of the node are carried out.The test results show that,in the case of the collection data has a relatively stable accuracy rate,the smart classroom's intelligent node based on the sea computing mode would be greatly reduced the energy consumption and information transmission packet loss rate,and with better applicability.3?Fuzzy control algorithm which is suitable for the intelligent node is proposed.Through the analysis about the characteristics of smart classroom and the control algorithm,this paper selects the fuzzy control algorithm as the intelligent control solution strategy used in smart classroom.Aiming at the characteristics of smart classroom,a fuzzy control algorithm suitable for the smart classroom is proposed and improved.The experimental results show that this algorithm has good adaptability in the smart classroom which based on Internet of Things.4?Smart classroom system based on sea computing and cloud platform is constructed.Based on the newly proposed smart classroom architecture and intelligent node,considering about the experimental goal to be achieved,this paper plans and deploys a typical smart classroom system.At the same time,we conduct a complete experimental verification for the above research.The experimental results finally show that smart classroom and its smart nodes under the model of sea computing have great feasibility and higher performance.The main content and work of this paper is to propose a smart classroom architecture based on sea computing,and design the intelligent sensor node suitable for this architecture.Furthermore,taking into the uncertainty of the physical environment in a smart classroom,a kind of fuzzy control algorithm that suitable for the smart classroom system based on sea computing mode is proposed and improved.In the end,based on those above work,a smart classroom system based on sea computing intelligent node is constructed.The research results of this paper are of certain reference value for promoting the construction and development of the smart classroom under the "Internet + Education".