Implementing Continuous Orbital Conjunction Risk Monitoring

Automating the daily ingestion and triage of hundreds of Conjunction Data Messages (CDMs) eliminates the manual, repetitive task of sifting through low-probability events. A custom agentic workflow parses CDMs, applies domain-specific filters and ML models to suppress false positives from high-covariance events, and presents a prioritized shortlist of credible risks. This transforms a multi-hour analyst chore into a minutes-long review of validated alerts.

For red-alert conjunctions, a playbook-driven automation workflow triggers a sequenced response: fetching the latest ephemeris, executing rapid probability re-assessment, notifying pre-defined response teams via multiple channels, and preparing the initial maneuver analysis package. This eliminates the latency of manual handoffs and data gathering, enabling operators to make go/no-go decisions within a compressed tactical window before a close approach.

By integrating collision probability with satellite telemetry and propellant budgets, the workflow enables fuel-aware risk triage. It can recommend skipping maneuvers for end-of-life assets or those with insufficient fuel, while prioritizing evasive actions for high-value, fuel-healthy satellites. This intelligent allocation of delta-V extends aggregate fleet lifespan and defers costly end-of-service penalties, directly improving asset economics.

A single collision can result in a total loss of a $100M+ satellite, third-party liability claims, and the generation of thousands of new debris fragments that threaten other assets. Continuous automated monitoring and alerting drastically reduces the probability of a missed or late-detected conjunction. This provides defensible evidence of due diligence for insurers and regulators, protecting against massive financial loss and reputational damage.

The workflow automates the generation of mandatory pre-launch analyses and regulatory-compliant conjunction assessment reports for entities like the FCC or NOAA. By combining RAG for regulation retrieval, LLM agents for narrative drafting, and immutable audit trails for every automated decision, it transforms a manual, error-prone compliance burden into a continuous, documented assurance system, accelerating licensing and simplifying audits.

For constellation operators managing dozens or hundreds of satellites, manual conjunction assessment does not scale. A custom hierarchical multi-agent system can assess risk collectively, identify opportunities for coordinated fleet maneuvers, and automate cross-operator data sharing protocols. This creates an operational model where adding satellites increases data points, not analyst headcount, enabling profitable scaling of mega-constellations.

The workflow's foundation is a resilient ingestion pipeline that pulls and standardizes Two-Line Element (TLE) and Orbit Determination (OD) data from disparate sources like Space Fence, commercial SSA providers (e.g., LeoLabs), and academic feeds. This component handles schema mapping, outlier detection, and confidence weighting to create a unified, high-fidelity object catalog for downstream analysis, eliminating manual data wrangling.

A specialized AI agent automates the daily, manual task of sifting through hundreds of raw Conjunction Data Messages. It parses CDMs, applies domain-specific filtering rules (e.g., covariance realism checks), and uses ML models to suppress false positives from high-uncertainty events. This agent compresses hours of analyst review into minutes, presenting only credible, high-priority risks for human evaluation.

This core component moves beyond basic miss-distance calculations. It executes high-fidelity propagation and Monte Carlo simulations to model probability density functions, generating a dynamic risk score for each conjunction. The engine integrates satellite health status and mission value, automatically triaging alerts to ensure operators focus on threats to the most critical, vulnerable assets first.

Upon scoring, an orchestration agent routes alerts based on severity and predefined playbooks. For 'red' alerts, it triggers automated response sequences: fetching latest telemetry, notifying designated on-call engineers via SMS/email, and preparing an initial maneuver analysis package. This compresses the operator's decision loop from hours to minutes, which is critical for low-time-to-conjunction events.

To meet compliance burdens (FCC, NOAA, UNOOSA), this component automates report generation. Using RAG to retrieve relevant regulatory templates, an LLM agent drafts standardized conjunction assessment reports and can submit filings to systems like SOCRATES. Every automated decision is logged with full input data, model reasoning, and outcomes, creating an immutable audit trail for insurers and regulators.

The workflow's value is realized through deep integration. This component creates bi-directional links with the satellite's telemetry and health management system for health-aware risk assessment, and with the mission planning system to reschedule operations post-maneuver. It ensures collision avoidance is not a siloed function but a core, integrated part of satellite operations.