Research on artificial intelligence safety prediction and intervention model based on ship driving habits

• Published in: MATEC Web of Conferences Vol. 355; p. 3032
• Main Authors: Liu, Runnan, Liu, Guangze, He, Pengfei, Lin, Xingzhi
• Format: Journal Article Conference Proceeding
• Language: English
• Published: Les Ulis EDP Sciences 2022
• Subjects: Artificial intelligence; Data processing; driving habits; Electric equipment; intervention mode; Navigation; Safety; safety pre-judgment; Ship accidents & safety; Technology assessment
• ISSN: 2261-236X; 2274-7214; 2261-236X
• DOI: 10.1051/matecconf/202235503032

Based on the analysis of the causes of ship accidents, the development prospect and development direction of ship intelligent safe driving, the artificial intelligence safety prediction and intervention model is put forward. This model solves the problem of ship intelligent safety prediction by using intelligent analysis technology and network technology, and promotes the development of ship intelligence and ship safety navigation technology. Additionally, it expands the channels of obtaining information, connects the ship's mechanical and electrical equipment, collects, stores and analyzes the data reasonably, and constructs the intelligent analysis and processing platform of ship small-world data processing to implement intelligent intervention. What is impressive is that it makes ship navigation safer, more economical, more reasonable and optimized, and accelerates the development of ship artificial intelligence safe navigation.