Orbit Information Recording for Mega-Constellation Collision Analysis
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Solution Overview
Problem
The increasing number of satellites and space debris in mega-constellations poses challenges for existing systems to accurately predict and prevent collisions, as current systems lack a mechanism for sharing orbit information among management business operators, making it difficult to perform proximity and collision analysis effectively.
Innovation Solution
A space information recorder that acquires and records orbit forecast information from management business devices, categorizing it by satellite constellations, orbital planes, and individual satellites, allowing for precise analysis and alert issuance to prevent collisions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the Combined Space Operations Center continues to monitor space objects and issue alerts, then collision risk detection capability is maintained, but the system becomes overwhelmed by the increasing volume of data from mega-constellations and cannot effectively coordinate between multiple business operators
Solution Approach 1:
The patent divides the space object monitoring system into multiple independent management business devices, each responsible for specific satellite groups or constellations. Each device independently manages its own space objects and shares only necessary information with others, reducing the complexity of any single system while maintaining overall collision detection capability through standardized information exchange protocols.
2Measurement precision
If orbit information is shared among all management business devices, then proximity and collision analysis accuracy is improved, but information processing time and computational resources increase significantly
Solution Approach 1:
The patent implements selective information sharing where each management business device shares orbit information only with other devices that have overlapping operational areas or relevant satellite groups. This localized information exchange maintains high analysis accuracy for relevant collision risks while avoiding the computational burden of processing all space object data globally.
Solution Approach 2:
The system performs proximity and collision analysis only for space objects and orbital regions where actual risks exist, rather than continuously analyzing all possible combinations. This partial analysis approach maintains sufficient safety margins while dramatically reducing processing time and computational resource requirements.
3Manufacturing precision
If detailed orbit forecast information is recorded and shared for all categories of space objects, then collision avoidance precision is improved, but the amount of data to be processed and stored increases exponentially
Solution Approach 1:
The patent segments orbit information into distinct categories based on space object types, orbital planes, and operational regions. Each category maintains detailed forecast information only where necessary, allowing high collision avoidance precision for critical objects while reducing overall data volume through systematic organization and selective storage of only relevant detailed parameters.
Data Source
AI summary
A space information recorder (100) includes two or more categories of a category, acquired from a mega-constellation business device, of different constellations formed at nearby altitudes by the same business operator, a category of a satellite group of each constellation that flies at the same nominal altitude and cooperatively realizes the same mission, a category of orbital planes, a category of each orbital plane of the orbital planes, and a category of an individual satellite. The space information recorder (100) includes information on upper and lower limit values of an orbital altitude or on a nominal altitude and an altitude fluctuation width for each category.