PX4 Log Analyzer
A precise tool for developers and operators to analyze PX4 flight logs, reveal performance patterns, and guide debugging without manual data wrangling.
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About This Tool
Conceptually, the analyzer maps each log record to a consistent schema, harmonizes timestamps across streams, and derives features from raw data. It uses rolling averages and time-aligned normalization to produce stable indicators, then applies domain-specific heuristics and z-score based anomaly detection with user-tunable thresholds. Edge handling includes interpolating short gaps when safe and marking longer gaps as missing, ensuring users understand the data quality. The system remains data-centric and avoids making control or behavior recommendations, instead presenting diagnostics and actionable signals that a human analyst can interpret.
Who benefits: firmware engineers validating controller changes, sensor calibration teams verifying data integrity, maintenance crews diagnosing post-flight anomalies, and operations teams evaluating mission reliability across fleets. Use cases include preflight checks to confirm sensor health, post-flight reviews to quantify performance deviations, and fleet-wide trending to spot recurring issues. It supports side-by-side comparisons between flights, exportable reports, and audit-ready histories suitable for flight logs and compliance records.
Unique value stems from PX4-grounded calculations, scalable analysis, and exportable reports. Core features include robust log parsing, field extraction, metric computation, anomaly detection, configurable thresholds, multi-flight comparisons, and export formats (CSV/JSON). It integrates with data pipelines and yields repeatable, shareable results that accelerate debugging, validation, and flight performance optimization.
How to Use
- Provide inputs: Upload PX4 log file(s) (.ulg, .log/.txt) and set optional filters (flight_id, start_time, end_time).
- Configure analysis scope: enable advanced options (thresholds, comparison across flights) or run default settings.
- Run analysis: start processing to compute metrics and flag anomalies.
- Review outputs: inspect the metrics table, anomaly flags, trend charts, and exports (CSV/JSON).
- Interpret results: use insights to debug performance, validate changes, and plan future flights.
Frequently Asked Questions
Find Quick Answers
Which log formats are supported?
Is data processed locally or in the cloud?
What outputs are produced?
Can thresholds be customized?
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