Data Processing vs Energy Consumption
Allocate processing between spacecraft and ground based on total mission resource cost, ensuring safety-critical onboard decisions meet functional safety integrity requirements.
CyberTRIZ analysis · Space contradiction TSI006 · one of 8,235 worked contradictions published by CyberTRIZ.AI
Regulations
Business Context
Onboard data processing can reduce downlink requirements, accelerate delivery of useful information, support autonomous decisions, and prevent storage from being consumed by low-value data. Processing large sensor and payload datasets, however, requires computing energy and creates thermal loads. Transmitting raw data reduces onboard computation but transfers the burden to communications systems.
Space TRIZ Resolution
Processing should occur where the total mission resource cost is lowest. Lightweight onboard algorithms can filter, prioritize, compress, or classify data, while computationally intensive analysis remains on the ground unless immediate results are required. Processing intensity can change according to available energy, communications opportunities, and information value.
Applicable TRIZ Principles
Principle 2 – Taking Out removes redundant information before expensive processing or transmission.
Principle 15 – Dynamics adjusts processing intensity according to mission resources.
Principle 24 – Intermediary distributes processing between spacecraft, network assets, and ground infrastructure.
Expected Outcome
Higher useful information output
Lower total energy demand
Reduced unnecessary downlink
Better allocation of computing resources
Decision Indicators
Early indicators include:
Large datasets are fully processed onboard regardless of urgency.
Processing loads significantly affect spacecraft energy budgets.
Raw data is transmitted when simple onboard filtering could reduce volume.
Processing location is fixed despite changing communication availability.
Energy cost is not considered when allocating data-processing functions.