Processing Capability vs Electrical Power
Match processing capability dynamically to actual workload using event-driven activation and specialized accelerators to minimize average power draw.
CyberTRIZ analysis · Space contradiction SDP019 · one of 8,235 worked contradictions published by CyberTRIZ.AI
Regulations
Business Context
Advanced onboard processing supports autonomous operations, artificial intelligence, image processing, navigation, data compression, and sophisticated fault management. Higher computing performance, however, can increase electrical consumption and heat generation, placing additional demands on spacecraft power and thermal systems.
Space TRIZ Resolution
Processing should be matched dynamically to workload rather than maintaining maximum computing capability continuously. Specialized accelerators, event-driven processing, variable operating modes, workload scheduling, and selective transfer of non-time-critical computation to ground infrastructure can reduce energy demand while preserving high processing capability when needed.
Applicable TRIZ Principles
Principle 19 – Periodic Action activates intensive processing only when required.
Principle 28 – Mechanics Substitution uses specialized digital architectures to replace less efficient general processing where appropriate.
Principle 35 – Parameter Changes adjusts processor performance and energy use according to workload.
Expected Outcome
Greater onboard computing capability
Reduced average electrical demand
Lower thermal generation
More efficient allocation of processing workloads
Decision Indicators
Early indicators include:
Computing systems operate at high capability during low-demand periods.
Processor upgrades require substantial power-system growth.
Thermal limits restrict onboard processing.
Ground processing could handle non-time-critical workloads but is not used.
General-purpose processing handles tasks suited to more efficient specialized hardware.