Adaptive Procedure Tuning
ML-Adaptive Procedure Tuning
Adaptive Procedure Tuning is a software system executed on radiation-hardened NOR flash and an ML accelerator to refine operational protocols from execution history. Operating at one watt with a 500,000-hour mean time between failures, it yields roughly 100 confidence-weighted procedure revisions per year through an operator and L1-CDH approval workflow. Because the lack of a magnetosphere exposes lunar electronics to unmitigated cosmic radiation over a 100-year design life, all updates require immutable audit logging and strict version tracking to sustain deterministic organizational learning.
ML-adaptive procedure tuning improving procedures based on execution history — faster, safer, more reliable over mission lifetime.
Purpose
ML-adaptive procedure tuning improving procedures based on execution history — faster, safer, more reliable over mission lifetime.
Context
Child of L2-MNT-PROC within the Lunar Ark system
Principles
- ▸ML analysis of procedure execution history
- ▸Suggested improvements with confidence
- ▸Operator + L1-CDH approval workflow
- ▸Per-procedure version evolution
- ▸L1-DVT improvement history
Typical implementations
- ▸Industrial continuous improvement (Lean, Kaizen)
- ▸Aerospace lessons-learned
- ▸ML process optimization
Lunar considerations
- ▸Long-mission organizational learning
- ▸Authenticated improvements
- ▸Audit trail
Specifications
Functional
| primary function | ML-adaptive procedure tuning improving procedures based on execution history — faster, safer, more reliable over mission lifetime. |
| improvements per year | 100 |
Physical
| mass kg | 0 |
| materials | Code on rad-hard NOR flash + ML accelerator |
| vacuum compatibility | True |
Operational
| power consumption w | 1 |
| thermal range c | -40, 70 |
| lifetime years | 100 |
| mtbf hours | 500000 |
Interfaces
Provides
- Procedure version updates
Requires
- Execution history
Cite this entry
Lunar Ark Codex. "Adaptive Procedure Tuning" (L3-MNT-PROC-ADAPT). Retrieved 10 September 2026, from https://lunarark.com/entry/L3-MNT-PROC-ADAPT
Licensed CC-BY-SA 4.0. You may reuse and adapt this entry with attribution, under the same licence.