Data Processing & Analysis
Seismic Structural Data Processing and Analysis Unit
Central processing unit integrating data from all SSM sensors, performing event detection, structural analysis, trend monitoring, and generating actionable alerts and reports.
Purpose
Transform raw sensor data into actionable structural intelligence through real-time event detection, long-term trend analysis, cross-correlation of seismic and structural data, and automated health assessment with maintenance recommendations.
Context
With thousands of sensor channels generating continuous data over 100 years, autonomous processing is essential. This unit performs the intelligence functions: distinguishing seismic events from noise, correlating structural response with ground motion, tracking slow degradation trends, and prioritizing maintenance actions without human intervention.
Principles
- ▸Real-time event detection using STA/LTA (short-term average / long-term average) algorithms
- ▸Modal analysis for structural damage identification through frequency and mode shape changes
- ▸Statistical process control for long-term trend detection in slowly evolving parameters
- ▸Data fusion from multiple sensor types for robust damage assessment
- ▸Edge computing at sensor nodes with centralized deep analysis
Typical implementations
- ▸Radiation-hardened FPGA-based real-time processing for event detection
- ▸Redundant rad-hard processors (e.g., LEON4, RAD750) for analysis algorithms
- ▸On-board machine learning inference for anomaly classification
- ▸Hierarchical data storage: raw data buffered, processed data archived long-term
- ▸Automated report generation and alert prioritization system
Lunar considerations
- ▸Processing must be fully autonomous due to communication delays and potential link outages
- ▸Radiation-hardened computing required for 100-year operation
- ▸Power-efficient processing algorithms to minimize thermal dissipation in vacuum
- ▸Baseline models must self-update to account for normal aging vs. damage
- ▸Data compression essential for archival storage of 100-year continuous monitoring
- ▸Algorithms must handle lunar seismic signal characteristics (long coda, scattering)
Specifications
Functional
| primary function | Process, analyze, and interpret all seismic and structural monitoring data to produce actionable health assessments |
| inputs | Seismic waveform data from L2-SSM-SEIS, Structural sensor data from L2-SSM-SHM, Foundation monitoring data from L2-SSM-FOUND, Thermal environment data, Historical baseline databases |
| outputs | Seismic event catalogs with magnitude, location, and type classification, Structural health indices per monitored zone, Long-term trend reports for settlement, strain accumulation, and degradation, Real-time alerts for threshold exceedances, Maintenance priority recommendations, Compressed data streams for archival in L1-DVT |
| event detection latency s | 2 |
| processing channels | 2500 |
| false alarm rate | 0.001 |
| detection probability | 0.99 |
| trend analysis interval hours | 24 |
| data compression ratio | 10 |
| storage capacity tb | 50 |
Physical
| mass kg | 65 |
| dimensions | 60cm x 50cm x 40cm (main processing enclosure) |
| materials | Aluminum alloy enclosure with radiation shielding, Radiation-hardened silicon processors, Radiation-tolerant NAND flash storage, Thermal interface materials for conductive cooling |
| location | Internal to Ark pressurized or thermally controlled volume |
| radiation shielding | True |
| thermal management | conductive cooling to Ark thermal system |
Operational
| power consumption w | 20 |
| thermal range c | -20, 50 |
| lifetime years | 100 |
| mtbf hours | 400000 |
Interfaces
Provides
- Combined analysis products from all sensor subsystems
- Compressed long-term seismic and structural datasets for permanent archive
- Real-time health status and critical alerts for Ark command and control
Requires
- Continuous three-component data from seismometer array
- Strain, vibration, acoustic emission, and temperature data
- Settlement, tilt, pressure, and subsurface survey data
- 20W regulated power supply
Decomposes into
Cite this entry
Lunar Ark Codex. "Data Processing & Analysis" (L2-SSM-PROC). Retrieved 10 September 2026, from https://lunarark.com/entry/L2-SSM-PROC
Licensed CC-BY-SA 4.0. You may reuse and adapt this entry with attribution, under the same licence.