In order to realize the machine-independent decision-making and control of ship intelligent navigation, this paper explores and builds a universal and practical ship-driving machine language system, analyzes the command requirements of driving behavior and ship state according to the three collision avoidance behaviors of ship navigation, and creatively designs the coding form of ship driving behavior index and ship state index by using 01 code and ILP method, so as to provide a man-machine and machine-machine collaborative dialogue for ship intelligent navigation. And the intelligent development of shipping provides important basic theory and technical support.
Shore based information service is the key technology of ship shore cooperation theory for intelligent navigation of ships, and is an important guarantee means to support autonomous navigation. This paper proposals to apply maritime service technology to navigation, relaying on modern digital communication technology to establish a real-time dynamic, location-based, on-demand service geographic information service operation system. Tests show that shore-based information service technology can meet the demand for dynamic and maritime safety information in modern navigation, and has a position Effect on improving crew efficiency and improving navigation safety.
According to the actual needs of autonomous navigation and safety control of ships in open and busy waters, this study puts forward a complete technical chain of “autonomous navigation environment construction - collision avoidance and track control algorithm research - verification and incremental update of real ship data”, and gives the specific technical scheme and process route. That is to construct the virtual reality integrated simulation environment of ship autonomous navigation. Considering the multiple responses of large merchant ships, the ship handling model is coupled with the environment, and the ship autonomous collision avoidance algorithm model is established. By comparing the VDR data and simulation results, the algorithm and model are constantly updated, so as to finally realize the safe and efficient autonomous collision avoidance decision-making ability of ship intelligent navigation. The research results have important theoretical and technical support for expanding and improving the technical methods of ship navigation autonomous decision-making, and finally realizing the commercial application of ship intelligent navigation.
Tourist waterway have high requirements for water quality. Aiming at the large AUV equipment can not meet the needs of lake reservoir area, a portable small underwater robotic fish system is developed. The system consists of underwater robotic fish and shore remote monitoring and data analysis system. The underwater robotic fish has the ability of long time endurance, automatic navigation, pollutant detection and source determination, video acquisition and automatic defogging; The onshore remote monitoring and data analysis system can monitor the underwater operation of robotic fish in real time and carry out three-dimensional visual analysis of the collected data. The system has been tested and applied in Cao’e River, China, which realizes the automatic detection of water quality and provides an effective means for pollution control.
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