Situational Awareness Personal Service Data Correlation
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Solution Overview
Problem
Current situational awareness (SA) systems for transportation are costly, prone to errors, and unable to effectively utilize a wide variety of data sources, particularly failing to incorporate real-time data from other vessels or adapt to new hazards like piracy and environmental threats, requiring specialized equipment and skilled personnel.
Innovation Solution
A system comprising a data ingestion module, data analytics module, and situational awareness personal service (SAPS) module that receives and correlates data from multiple sources, including radar and AIS data, to generate tailored SA information for specific geographic regions and users, utilizing a computer system with processors to identify navigation hazards and send relevant information to subscribers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional SA networks with specialized equipment and skilled personnel are used, then SA information reliability is improved, but system cost increases
Solution Approach 1:
The system enables transportation platforms to autonomously generate and share their own SA information through onboard sensors and communication devices, eliminating the need for expensive specialized SA networks and skilled personnel while maintaining information reliability
Solution Approach 2:
The system creates a universal SA information sharing platform that can be accessed by any transportation platform using standard communication devices, replacing specialized expensive networks with a multi-functional open system that serves multiple users and purposes
2Measurement precision
If traditional SA systems are used, then SA information accuracy is improved through skilled personnel processing, but time consumption increases
Solution Approach 1:
The system replaces the mechanical process of skilled personnel manually processing and correlating SA data with automated computer-based processing that continuously analyzes data from multiple sources and generates accurate SA information without human intervention
Solution Approach 2:
The system provides continuous automated processing of SA information from multiple data sources, eliminating the intermittent nature of manual processing by skilled personnel and maintaining constant accuracy through uninterrupted data analysis
3Area of stationary object
If current SA solutions are used, then coverage for defined geographic regions is provided, but adaptability to new data sources and hazards is limited
Solution Approach 1:
The system dynamically adapts to new data sources and hazard types through flexible software architecture that can incorporate new sensor types and data formats without requiring changes to the core system, allowing continuous evolution to address emerging threats while maintaining broad geographic coverage
Solution Approach 2:
The system can change its operational parameters and data processing methods to accommodate new types of sensors and data sources, enabling adaptation to emerging hazard types while maintaining coverage of existing geographic regions through configurable parameter adjustments
4Reliability
If current SA solutions are used, then specialized equipment is required for reliable operation, but ease of operation decreases
Solution Approach 1:
The system enables transportation platforms to independently generate and share their own SA information using standard onboard sensors and communication devices, eliminating the need for specialized equipment and skilled personnel while maintaining reliable operation through automated self-processing
Data Source
AI summary
A situational awareness personal service (SAPS) receives data records from a wide variety of data sources and provides real-time, tailored, situational awareness (SA) information to subscribers. The SA information, which can include course of action recommendations and threat assessments, can be made available and affordable to the general public. Subscribers may view the SA information using commercial off the shelf (COTS) devices, such as laptop computers, smartphones, and existing onboard integrated displays. In one aspect, transportation platforms can provide local observation data, such as radar tracking data, to the SA personal service in exchange for tailored SA information.


