Dynamic Geospatial Order Management and Satellite Resource Optimization
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Solution Overview
Problem
The existing systems for managing satellite data collection and user orders face challenges in efficiently allocating resources to satisfy multiple user requests while minimizing costs and ensuring timely data acquisition, particularly due to limitations in satellite orbit inclination and the need for transparent and affordable pricing for users.
Innovation Solution
A computer-implemented method and system that dynamically manages user requests for geospatial information by receiving orders with specific attributes, querying a database to identify other orders, and optimizing the allocation of satellite resources to provide the requested data while setting prices based on the attributes and other orders.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If satellites are steered or reoriented to satisfy all user requests, then user order fulfillment is improved, but resource cost increases significantly
Solution Approach 1:
The patent implements dynamic resource management by continuously adjusting satellite tasking based on real-time order priorities, availability, and resource constraints. The system dynamically reorients satellites only when necessary to fulfill high-priority orders while maintaining cost efficiency through automated decision-making algorithms that balance service quality with resource consumption.
Solution Approach 2:
The system changes operational parameters such as satellite orientation angles, observation timing, and data collection frequency based on order attributes and resource availability. By adjusting these parameters dynamically, the system fulfills user requirements while optimizing resource usage and minimizing costs.
2Productivity
If multiple satellites are used to cover more areas, then data collection capability is improved, but system complexity increases
Solution Approach 1:
The patent segments the satellite constellation into multiple independent operational units, each capable of autonomous decision-making regarding order fulfillment. This segmentation allows the system to manage complexity by treating each satellite as a modular component while maintaining coordinated operation across the entire constellation for enhanced data collection capability.
Solution Approach 2:
The system implements a universal tasking framework that can allocate any satellite in the constellation to any order based on real-time requirements. This multi-functional approach allows satellites to perform various roles (imaging, radar, monitoring) and be dynamically reassigned, increasing overall productivity while managing complexity through standardized protocols.
3Ease of manufacture
If the same data is provided to all users, then system operation is simplified, but user-specific needs are not met
Solution Approach 1:
The patent implements preliminary data processing and categorization before distribution, where data is pre-tagged with metadata describing its characteristics, quality, and applicability to different user needs. This preliminary action allows the system to efficiently match users with appropriate data without complex real-time processing, maintaining operational simplicity while fulfilling user-specific requirements.
Solution Approach 2:
The system incorporates feedback mechanisms where user preferences, order histories, and data utilization patterns are continuously monitored. This feedback enables the system to adapt data provisioning strategies, providing customized data packages to different users based on their specific needs while maintaining efficient system operation through learned patterns.
4Stability of the object's composition
If satellite orbits are fixed by inclination constraints, then orbital stability is maintained, but flexibility to serve all areas is reduced
Solution Approach 1:
The patent merges the capabilities of multiple satellites with different orbital inclinations into a coordinated constellation. By combining satellites in various orbits (polar, equatorial, inclined), the system maintains the orbital stability of each individual satellite while achieving comprehensive area coverage flexibility through collective operation and automated tasking allocation.
Data Source
AI summary
Systems, methods and devices to manage user orders for geospatial information and to perform an optimization scheme for satellite resources within a satellite constellation are provided. Embodiments include computer-implemented methods comprising receiving, from a user, an order for geospatial information, wherein the order comprises at least one attribute related to the ordered geospatial information; and querying a database to identify information about other orders received from the same or different users, with the same or different attributes; and at least one of: setting a price for the geospatial information ordered by the user based at least in part on the at least one attribute and the identified other orders, or performing an optimization scheme for determining whether the ordered geospatial information can be provided to the user and the other user orders can be satisfied, and targeting at least one sensor on board a manned or unmanned aerial vehicle configured to collect the geospatial information based on the determination.