What We Do
We will realize the people's dreams, The safest sea routes in the world
Maritime Transportation Big Data Platform
Background
- The systematic and integrated management of maritime big data is required in order to reduce and prevent the maritime accidents.
- Following needs are required for maritime safety :
- Customized results for various service users
- Evidence-based decision making in preventive actions and safety diagnosis
Implementation of big data platform
- Integration of the dispersed big data managed by various organizations
- Implementation of the big data platform through data quality management
- Data-driven maritime safety risk analysis and assessment
- Provision of maritime safety information and services
Conceptual Scheme of Big data platform
Applications
- Provide data-driven maritime safety monitoring measures
- Support decision makings in maritime accident preventive activities
- Provide safety assistance services in business management for shipping companies
- Provide quantitative grounds for developing maritime safety related regulations
Roadmap for big data platform implementation and operation
- ‘19-’20: Foundation building
- Implement base infrastucture for internal business systems(AI smart portal system)
- Establish Data governance for data collection and management
- Perform big data pilot analysis
- `21.-`22: Implementation
- Perform quality management for integrated maritime big data
- Develop big data analysis systems and solutions
- Expand data interfaces among relevant organizations
- `23.-`24: Growth
- Advance big data analysis methods(geo-spatial, temporal, predictions, etc.)
- Interface external maritime IT systems(e-Navigation, AIS, etc.)
- Support decision makings on regulations regarding maritime accident preventive activities
- `25.- : Build Out
- Establish maritime safety big data ecosystem
- Make public(Public sharing) of safety data
- Develop maritime accident prediction analysis model and services
- Develop maritime safety indicators and advanced services