5. Conclusion
With the rapid development of the IoT, the application of IoT in the ocean will get a high degree of concern.
In this paper, we build a simple model of Cloud Computing and IoT with data interaction of multi-sensors and transmission to the cloud in the marine field. This simple model can represent the relationship of each sensor and the way of transmitting data information to the receiving terminal and the cloud. According to the big data from various kinds of sensors, we propose a data processing algorithm that can remove the outliers and add interpolation while the data distribution is loose. In order to verify the algorithm, we discuss the perspective of data processing algorithm and verify the feasibility of the proposed algorithm by comparing the image of raw data and the processed data. And the experiments show that the algorithm can improve the accuracy of data. Based on the processed data, we propose a mathematical model of route planning. The model can make the ship go to the destination more effective and plays a important role in the route layout. This proposed model can solve most situations in actual measurement except some critical situations.
The research work of this paper provides algorithm in marine data processing and a model in route planning, but there is still a lot of room for improvement. For example, the data processing algorithm is a basic method and the mathematical model of route planning is a hypothesis that ignore some critical situations. In the future, we will improve the data processing algorithm in ocean big data and add more influence factor and critical situations into the model, and gradually improve our research work.
