Research And Application Of Io T Architecture Based On Cloud-Fog-Dust Multistage Computing

With the continuous development of Io T,people are more and more able to realize the convenience by intelligence to life and work.Science and technology are changing with each passing day.We should follow the trend of The Times,continuously improve the technology of the Internet of things,and expand and deepen breadth and depth of Io T application.However,from the perspective of Io T research,there has been unbalanced development.Taking the number of papers as an example,the research on the application of Io T is much higher than the architecture of Io T.The development of science and technology is for application,but in the process of technology application,it is necessary to strengthen the technology and upgrade the technology architecture.In this paper,Io T architecture based on cloud-fog-dust multistage computing based on specific situation requirement,choose the appropriate level and technical,to data of small or high delay requirement using lower level,to data of big or need data mining using high level,to high delay requirement and data of big use a combination of multiple levels,rather than uploading all data to the cloud using cloud computing,in order to reduce delay and energy.This architecture is applied to bridge health monitoring to further illustrate operation mechanism of the architecture.The main research contents are as follows:1.Overview of Io T related knowledge and concepts.Defining and discussing economic prospect and value of Io T and summarize its key technologies,application examples and conventional architecture.It provides the necessary knowledge foundation for the paper to discuss Io T architecture based on cloud-fog-dust multistage computing and its application.2.Design of Io T architecture based on cloud-fog-dust multistage computing.First,summarize the Io T architecture based on cloud-fog-dust multistage computing content.Then,the structure is expanded in the order of dust layer,fog layer and cloud layer.The dust layer is divided into the sensing layer,the dust computing and the dust network layer.Data preprocessing,fog computing and fog network layer for fog layer;Cloud computing-related argument for cloud layer.Finally,summarizing the above discussion and points out the value chain.3.Demonstrate of multi-layer Io T architecture advantages.First,Comparing the critical technologies of previous architecture with architecture based on cloud-fog-dust multistage computing.Then,the relevant data is presented in the form of charts,focusing on the compare architecture based on cloud-fog-dust multistage computing and cloud-based architecture.Finally,Demonstrating advantages of architecture in terms of delay and energy.4.Analysis of architecture application examples.Taking the bridge health monitoring as an example,analyzing data of temperature,humidness,amplitude and deflection measured by the sensing layer at dust layer.According to the architecture described in paper and the actual situation,the application layer is divided into three layers: dust,fog and cloud.Firstly,the variables are monitored in real time in the dust layer by using the dust computing according to the threshold value and uploaded to the fog nodes through the dust network layer.Then,the data is preprocessed in the fog layer and the variation trend of environmental load variables under different conditions is analyzed.Finally,the multi-variables and their correlation are analyzed in the cloud layer and establish the health monitoring model of the bridge.