Design of Sensor Data Flow for Ship Information System
- Bowen Xing (College of Engineering Science and Technology / Shanghai Ocean University) | Sheng Liu (College of Automation / Harbin Engineering University) | Xiao Chen (Institute of China Shipbuilding Industry Corporation) | Pengfei Zhi (College of Automation / Harbin Engineering University)
- Document ID
- The Society of Naval Architects and Marine Engineers
- Journal of Ship Production and Design
- Publication Date
- November 2017
- Document Type
- Journal Paper
- 310 - 316
- 2017. The Society of Naval Architects and Marine Engineers
- ship information system, observability analysis, dataflow design, dataflow design, sensor node, sensor node, ship information system, observability analysis
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- 1 since 2007
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In this paper, the design principles of sensor data flow in ship information system (SIS) structure are researched. In order to save communication resources to achieve the practicable maximum without sacrificing the expected performance of system, an observability analysis-based setting method is proposed to shorten the length of each sensor data flow. In addition, according to the determined data flow length, a scheduling algorithm is presented to set the content of data flow as well. This scheduling algorithm is based on a double-index evaluation method, which includes the variation of sensor data during assigned steps, meanwhile the deviation between estimated value and real value of observation is considered as well. Besides these, algorithm and hardware realization examples are provided at the end of this paper.
The past three decades have witnessed the rapid spreading of a ship information system (SIS) architecture in which sensors and actuators exchange information with a Command Control Interface (CCI) through a communication network. Based on such wide-scale networks, ship control/monitoring systems (such as Integrated Bridge System, Standard Machinery Control System) are able to be linked together. These technological advances make it possible to create a highly integrated real-time control architecture in a modern ship (Geer 2009). As a result, several SISs have been widely applied in different types of ships, e.g., RICE (Lister and Rosie 1995), Ship System 2000 (Källberg and Stråhle 2001), GEDMS (Meier and Manfredi 2006), FORCEnet (Waters et al. 2005), and Total Ship Computing Environment (Henry et al. 2009).
For most designers, the SIS is more like a special application case of Supervisory Control and Data Acquisition (SCADA) system, the theory research of SIS is scattered and immethodical. However, there also exist several differences in normal SCADA system and SIS. For example, the connection principle between distributed controller units (DCUs) and remote terminal units in SIS is mere proximity instead of task relation, which has reduced the difficulty of planning and laying networks greatly, but increases the complexity of every control processes in SIS, most missions in SIS are designed to be completed by several DCUs cooperatively. Such structure has been summarized briefly by Liu et al. (2014a). Mostly, a SIS could be regarded as a wide-scale sensor/actuator network under a highly integrated structure in the ship environment, which increases the importance of sensor information obtaining ability. In recent years, the U.S. Naval Research Laboratory has developed a multisensory real-time detection system for situational awareness named “Volume Sensor” (Minor et al. 2007). This designed framework can serve as a template for a variety of real-time sensing and situational awareness applications.
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