Design And Implementation Of Data Collection And Sharing Platform System Based On Internet Of Things

With the development application of information technology in recent years,the scale of application systems in various fields expand rapidly.Hence,the data produced by the applying of systems explode within a short time.Because people are becoming more and more diversified in the form and category of data,the analysis of multiple data becomes more important while the securer and more efficient method of data collecting and sharing becomes an urgent demand.Thus the traditional ways of data collecting and sharing cannot meet the needs of modern people,so the applying of RFID technology,sensor technology,video recognition technology,intelligent embedded technology and other Internet of Things technology have become a vital trend.The thesis describes the development background and significance of data collection and sharing platform based on Internet of Things,and expounds the characteristics of data collection and sharing.With the data collection and sharing platform people from a variety of industries can achieve real-time data collection and sharing in a more accessible and reliable way.The thesis describes in detail the design and implementation of the main modules of the system,such as data collection module,data distribution module,business module,storage module,backup module and so on,and the system completes the data collection,release,analysis,storage and sharing by all modules.In order to meet the characteristics of the system,Google Protocol Buffer and ZeroMQ technology are adopted to improve the data processing ability of the system.In this way,the time of receiving,analyzing and transmitting the data is the lowest,and the performance of data acquisition and transmission is maximized.Finally,the RabbitMQ message queue system is used to design several relevant business scenarios.Compared with other methods,the experimental results show that the proposed method in this thesis has some advantages in the efficiency of data reception and transmission.