Analysis and Modeling Methodologies for Heat Exchanges of Deep-Sea In Situ Spectroscopy Detection System Based on ROV.
作者： Xiaorui Liu , Fujun Qi , Wangquan Ye , Kai Cheng , Jinjia Guo
DOI: 10.3390/S18082729
关键词:
摘要: In recent years, cabled ocean observation technology has been increasingly used for deep sea in situ research. As sophisticated sensor or measurement system starts to be applied on a remotely operated vehicle (ROV), it presents the requirement maintain stable condition of cabin. this paper, we introduce one kind ROV-based Raman spectroscopy (DOCARS) and discuss development characteristics its cabin during profile process. An available straightforward modeling methodology is proposed realize predictive control trend. This based Autoregressive Exogenous (ARX) model optimized through series sea-going test data. The fitting result demonstrates that processes can availably predict trends DORCAS's
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