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Sensors 2018, 18(8), 2729; https://doi.org/10.3390/s18082729

Analysis and Modeling Methodologies for Heat Exchanges of Deep-Sea In Situ Spectroscopy Detection System Based on ROV

Optics and Optoelectronics Laboratory, College of Information Science and Engineering, Ocean University of China, Qingdao 266100, China
These authors contributed equally to this work.
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Received: 26 June 2018 / Revised: 15 August 2018 / Accepted: 16 August 2018 / Published: 20 August 2018
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Abstract

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 to maintain a stable condition of measurement system cabin. In this paper, we introduce one kind of ROV-based Raman spectroscopy measurement system (DOCARS) and discuss the development characteristics of its cabin condition during profile measurement process. An available and straightforward modeling methodology is proposed to realize predictive control for this trend. This methodology is based on the Autoregressive Exogenous (ARX) model and is optimized through a series of sea-going test data. The fitting result demonstrates that during profile measurement processes this model can availably predict the development trends of DORCAS’s cabin condition during the profile measurement process. View Full-Text
Keywords: remotely operated vehicle (ROV); autoregressive exogenous model; profile measurement; model-based prediction; Raman spectroscopy remotely operated vehicle (ROV); autoregressive exogenous model; profile measurement; model-based prediction; Raman spectroscopy
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Liu, X.; Qi, F.; Ye, W.; Cheng, K.; Guo, J.; Zheng, R. Analysis and Modeling Methodologies for Heat Exchanges of Deep-Sea In Situ Spectroscopy Detection System Based on ROV. Sensors 2018, 18, 2729.

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