High-Fidelity Sensing vs Data Burden
Implement and validate the onboard logic that triggers high-fidelity sensing as an AI system component, ensuring it meets transparency and accuracy requirements.
CyberTRIZ analysis · Space contradiction TSI028 · one of 8,235 worked contradictions published by CyberTRIZ.AI
Regulations
Business Context
Higher spatial, temporal, spectral, or measurement fidelity can increase the scientific and commercial value of spacecraft observations. However, improved sensing frequently produces substantially larger data volumes that must be processed, stored, transmitted, and analyzed. Communications and computing systems can become the limiting factors rather than the sensor itself.
Space TRIZ Resolution
Full-fidelity sensing should be applied selectively according to information value. Lower-resolution observations can identify regions or events requiring detailed measurement, after which sensors increase fidelity only for relevant targets. Onboard processing can also extract useful products before transmission.
Applicable TRIZ Principles
Principle 3 – Local Quality concentrates maximum sensing fidelity on high-value targets.
Principle 15 – Dynamics adjusts sensor resolution according to observation requirements.
Principle 23 – Feedback uses preliminary measurements to determine when higher fidelity is justified.
Expected Outcome
High-value sensing performance
Lower average data volume
Reduced storage and communications burden
Greater payload efficiency
Decision Indicators
Early indicators include:
Data generation grows faster than downlink capacity.
Maximum sensor fidelity is used for every observation.
Large portions of collected data provide limited additional value.
Payload capability is constrained by downstream data systems.
Preliminary sensing cannot influence subsequent observation detail.