Observation Planning Device for Satellite Area Coverage
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing observation planning techniques struggle to efficiently create an observation plan for areas larger than the sensor's observation range, as they fail to uniquely determine parameter values and result in a vast number of feasible observation scenes, making it difficult to determine optimal combinations and plan efficient observations.
Innovation Solution
An observation planning device that includes an observation request acquirer, an observational opportunity specifier, an observation scene extractor, and an observation plan determiner, which generates temporary observation plans by combining observation scenes and evaluating their efficiency based on vehicle information and observation scene lists, thereby determining a high-evaluation observation plan.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If the observation area is larger than the observation range, then the coverage area is improved, but the positional relationship between the vehicle and the observation target becomes unknown
Solution Approach 1:
The observation area is divided into multiple sub-areas, each of which can be uniquely associated with a specific observational opportunity. This segmentation allows the system to handle large observation areas by breaking them down into manageable portions that maintain precise positional relationships with the vehicle.
Solution Approach 2:
The patent introduces a hierarchical structure where observation scenes are organized across multiple dimensions - from individual observation points to sub-areas to the complete observation area. This dimensional organization allows simultaneous tracking of large-area coverage and precise positional relationships at appropriate levels of granularity.
2Adaptability or versatility
If multiple appropriate parameter values are selected, then the adaptability is improved, but the device complexity increases
Solution Approach 1:
The system pre-calculates and stores multiple appropriate parameter values for each observation scene in advance. This preliminary preparation allows the planning process to simply select from pre-computed options rather than calculating parameters in real-time, reducing complexity while maintaining adaptability.
Solution Approach 2:
The patent systematically varies observation parameters (such as off-nadir angles, observation times, and vehicle positions) to generate multiple feasible parameter sets. By organizing these parameter variations in a structured manner, the system maintains flexibility in parameter selection while managing complexity through systematic exploration of the parameter space.
3Manufacturing precision
If observation scenes are finely divided, then the manufacturing precision is improved, but the quantity of substance increases
Solution Approach 1:
The patent extracts only the essential and necessary observation scenes from the complete set of feasible scenes. By identifying and removing redundant or less critical scenes, the system maintains fine-grained observation coverage while reducing the total quantity of scenes that need to be planned and managed.
Solution Approach 2:
The system generates a complete set of finely-divided observation scenes initially, then applies filtering and selection criteria to retain only the necessary portion. This approach allows thorough exploration of fine-grained possibilities while ultimately delivering a manageable subset for actual implementation.
4Adaptability or versatility
If an enormous number of feasible observation scenes are listed, then the adaptability is improved, but the productivity decreases
Solution Approach 1:
The system implements feedback mechanisms that evaluate observation scenes based on multiple criteria (such as vehicle availability, observation quality, and temporal constraints). This feedback-driven evaluation allows the system to efficiently filter and rank the enormous number of feasible scenes, maintaining adaptability while significantly improving plan creation efficiency through intelligent prioritization.
Data Source
AI summary
An observation planning device includes an observation request acquirer to acquire observation request information for requesting observation of an observation area, an observational opportunity specifier to specify, based on the observation request information and vehicle information about a vehicle, orbit paths of the vehicle enabling observation of the observation area, and to specify observational opportunities of observing the observation area for each of the specified orbit paths, an observation plan determiner to generate, based on the vehicle information and an observation scene list indicating observation scenes being observations performed in all the observational opportunities specified by the observational opportunity specifier, temporary observation plans by combining observation scenes of the observation scenes, and to determine a temporary observation plan of the temporary observation plans having a higher evaluation value for efficiency evaluation as an observation plan, and an observation-plan outputter to output the observation plan determined by the observation plan determiner.