Abstract

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.

Highlights

  • The ship artificial intelligence safety prediction and intervention model, as a direction of the development of ship intelligence, completes the intelligent safety prediction and data collection of ships by recording the operation of ship drivers and the status of ship equipment for a long time, and combining artificial intelligence technology with network technology based on driving habits

  • The information collected is passed through the intelligent analysis, and reasonable sailing advice are provided to the ship drivers to realize the ship safety prediction model

  • Pass the data verification on the research of artificial intelligence safety prediction and intervention model based on ship driving habits

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Summary

Introduction

The ship artificial intelligence safety prediction and intervention model, as a direction of the development of ship intelligence, completes the intelligent safety prediction and data collection of ships by recording the operation of ship drivers and the status of ship equipment for a long time, and combining artificial intelligence technology with network technology based on driving habits. Artificial intelligence safety prediction and intervention model, based on ship driving habits integrates many technologies, such as data analysis, automatic control and so on. It establishes the information broadcast module, makes the information push more diverse, makes a plan to determine the applicable state of the ship's emergency risk aversion, and completes the intervention behavior by controlling the motor. Artificial intelligence safety prediction and intervention depends on ship SQL sever, through long-term collection of crew driving habits and ship electromechanical data and other multi-mode data, connecting ship mechanical and electrical equipment, and constructing ship information collection system, so as to provide data support for prediction and intervention.

Data Integration and Automation system for ships safe driving
Application of prediction and intervention model
Prediction and intervention data verification
Findings
Conclusion
Full Text
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