Satellite Fleet Workflow Orchestrator for Automated Anomaly Resolution
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Solution Overview
Problem
Current satellite fleet management systems are not scalable and are computationally inefficient, as they are designed for one-to-one satellite control and require manual operation, leading to unutilized infrastructure and increased operational costs.
Innovation Solution
The implementation of a workflow orchestrator in a satellite operations center (SOC) that automates the detection of satellite anomalies, generates anomaly tickets, and orchestrates workflows to address these anomalies through automated satellite command generation and execution.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual one-to-one satellite control is used, then operator control precision is improved, but operational efficiency deteriorates and infrastructure utilization decreases
Solution Approach 1:
The system enables satellites to be self-monitored through automated anomaly detection that continuously analyzes satellite telemetry data without requiring manual operator intervention. The workflow orchestrator automatically detects anomalies, generates tickets, and orchestrates resolution workflows, allowing the satellite fleet to manage itself rather than requiring dedicated human operators for each satellite.
Solution Approach 2:
The ground segment infrastructure is transformed into a universal platform that can simultaneously manage multiple satellite fleets through virtualization. The workflow orchestrator serves multiple satellite constellations through a single unified system, enabling one ground segment to perform the function of many dedicated ground segments, thereby improving infrastructure utilization while maintaining control capabilities.
2Ease of operation
If manual satellite operation is used, then operational control is improved, but operational costs increase and infrastructure utilization decreases
Solution Approach 1:
The system enables satellites to be self-monitored through automated anomaly detection that continuously analyzes satellite telemetry data without requiring manual operator intervention. The workflow orchestrator automatically detects anomalies, generates tickets, and orchestrates resolution workflows, allowing the satellite fleet to manage itself rather than requiring dedicated human operators for each satellite.
Solution Approach 2:
The workflow orchestrator acts as an intermediary between satellite telemetry data and operator interfaces, automatically processing raw data, detecting anomalies, and presenting structured information to operators only when needed. This intermediary layer eliminates the need for continuous manual monitoring while preserving operator control capabilities when anomalies occur.
3Productivity
If automated anomaly detection is implemented, then productivity is improved, but device complexity increases
Solution Approach 1:
The automated anomaly detection system is segmented into distinct functional modules: a workflow orchestrator for coordinating processes, an anomaly detection service for analyzing telemetry data, a ticket buffer for managing anomaly records, and interface management services for operator interaction. Each module performs a specific function and can be independently developed, deployed, and maintained, reducing overall system complexity despite the advanced capabilities.
Solution Approach 2:
The workflow orchestrator acts as an intermediary between satellite telemetry data and operator interfaces, automatically processing raw data, detecting anomalies, and presenting structured information to operators only when needed. This intermediary layer eliminates the need for continuous manual monitoring while preserving operator control capabilities when anomalies occur.
4Adaptability or versatility
If virtualized fleet operation ground segment is used, then infrastructure utilization is improved, but device complexity increases
Solution Approach 1:
The ground segment infrastructure is transformed into a universal platform that can simultaneously manage multiple satellite fleets through virtualization. The workflow orchestrator serves multiple satellite constellations through a single unified system, enabling one ground segment to perform the function of many dedicated ground segments, thereby improving infrastructure utilization while maintaining control capabilities.
Solution Approach 2:
The automated anomaly detection system is segmented into distinct functional modules: a workflow orchestrator for coordinating processes, an anomaly detection service for analyzing telemetry data, a ticket buffer for managing anomaly records, and interface management services for operator interaction. Each module performs a specific function and can be independently developed, deployed, and maintained, reducing overall system complexity despite the advanced capabilities.
Data Source
AI summary
Systems and methods of the present disclosure may use a satellite operations center (SOC) to determine a satellite anomaly indicative of a problem with a health or status of satellite. The SOC may generate a satellite anomaly ticket recording the satellite anomaly, space environment context data and satellite telemetry data and append the satellite anomaly ticket to a ticket queue in a ticket buffer. The SOC may instruct, upon the satellite anomaly ticket being in a first position in the ticket queue, an interface management service to render, on a display of a terminal, a user interface to enable the operator to address the satellite anomaly ticket via user interactions. The SOC may generate a workflow of tasks to address the satellite anomaly ticket based on the user interactions, and instruct the fleet operations ground segment element to perform the tasks and generate a satellite command to the satellite.