دانلود رایگان مقاله انگلیسی سیستم نقشه برداری دریایی و نقشه برداری بر اساس رایانش ابری و اینترنت اشیا - الزویر 2018

abstract

With the increasing popularity of Cloud Computing and Internet of Things(IoT), Cloud computing among with the IoT concept has become a hot research field in recent years. The ocean data information is more complex than the traditional data information. Based on the analysis of IoT in marine field, this paper will establish a simplified model of Cloud Computing on marine IoT and propose a ocean data processing algorithm. Specifically, different from traditional data processing algorithms, the proposed algorithm is based on the data of various sensors and cares deeply the effect of eliminating outliers and the smoothness of the processed curve. According to the processed data, we propose a mathematical model of route planning. In this model, the ship can arrive the destination line as soon and short distance as possible. Through analysis of experimental results by comparing the raw data and the processed data, it is shown that the proposed algorithm has a good optimization effect and the mathematical model is reasonable in actual measurement work.

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.