High Data Storage Capacity vs Hardware Resources
Implement onboard data prioritisation and compression to maximise mission value within fixed hardware constraints.
CyberTRIZ analysis · Space contradiction SDP024 · one of 8,235 worked contradictions published by CyberTRIZ.AI
Business Context
High-resolution payloads and limited ground-contact opportunities can require substantial onboard data storage. Increasing storage capacity can add electronics, power demand, thermal loads, radiation-sensitive components, and hardware complexity. Limiting storage, however, may force spacecraft to reduce observations or discard potentially valuable data before transmission.
Space TRIZ Resolution
Storage requirements should be reduced by managing information according to value and expected delivery opportunity. Onboard compression, processing, prioritization, selective retention, and adaptive acquisition can prevent low-value data from occupying limited storage. Distributed storage across spacecraft or other network resources may also be appropriate for connected architectures.
Applicable TRIZ Principles
Principle 2 – Taking Out removes redundant or low-value data before storage.
Principle 10 – Prior Action processes and compresses data before storage demand accumulates.
Principle 24 – Intermediary uses other spacecraft or network elements as temporary data-transfer or storage resources.
Expected Outcome
Greater effective storage capability
Lower hardware growth
Reduced risk of storage saturation
Improved retention of high-value mission data
Decision Indicators
Early indicators include:
Storage frequently approaches capacity between ground contacts.
Additional payload activity requires additional memory hardware.
Large amounts of stored data are later discarded.
Raw and processed data receive similar retention priority.
Observation schedules are constrained primarily by storage capacity.