Abstract
With the rapid development of Internet of Things and data interactive processing technologies, the application of Internet of Things in marine field is emerging. In the face of big oceanic data from various sensors, a model of multi-sensor interaction and data processing is proposed in this paper. On the basis of this model, an oceanic data processing algorithm based on back propagation neural network data fitting is proposed, which can be used for various types of oceanic data. In order to make the data more intuitive and improve the efficiency of data processing, we design a basic model of oceanic data visualization concluding the graphical display and processing. In this model, the standard file will be generated finally through the effective data processing. Through the comparison and analysis of experimental results, it's shown that the algorithm achieves better optimization. And the model of data interaction and visualization are suitable and reasonable in practical application.
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