Study On Soft Fusion Strategy Of Multi-Channel Incertitude Information In Digital Ocean

The Digital Ocean system needs various kinds of rich marine data and information that is densely distributed in space and continuous in time series. However, due to the vastness of ocean itself and the difficulty of obtaining information, it is impossible for the human being to get the information of an arbitrary point in ocean. Moreover, limitations of current marine observing methods result in the incertitude and even the conflicts among the information from multi-channel, which is due to many factors, such as error of measurement, deviation of computation of indirect information and so forth. Therefore, the fusion of multi-sourced data, especially of multi-channel incertitude information will not be avoided to establishing a Digital Ocean system. The key study of this dissertation is to find a new strategy to resolve this problem.Study on the applicational method of information fusion is still at the starting stage though scholars in ocean domain have already begun to probe into it in the ocean-related issues and a lot of documentation has already offered some successful application examples. Their study is limited in especial algorithm and application. The systematic study is very few. Tracing back its original reasons, they are that the professionalism of oceanography is an obstacle for the scholars in information fusion and that oceanographers' weakness in information science and information fusion technology also holds back the popularization of this technology in the ocean-related domain.In order to solve the fusion of multi-channel incertitude information in Digital Ocean, more systematic study is carried on in the dissertation and the following results are achieved.The dissertation provides the layers and the way of information fusion for the first time, aiming at the Digital Ocean. Four-layer fusion model is proposed: data layer—use layer—service layer—advisor layer. Quantization is conducted to the granularity, character and method of information fusion in the Digital Ocean system.