Safety Report Analyzer

Clusters safety reports and links similar events.

Industry	Level	Difficulty	Recommended mode
Aerospace	2 of 5	Intermediate	flat

Coming soon

A complete, runnable Safety Report Analyzer reference implementation is in progress. The architecture and core code below already work with SrvDB 0.3.

The problem

• Safety reports arrive as free text.
• Similar events are scattered.
• Trends emerge slowly.

How SrvDB powers Safety Report Analyzer

1. Reports are embedded and linked to neighbours.
2. Clusters reveal trends.
3. New reports far from known clusters are flagged.
4. Batch processing.

What changes

Today	With Safety Report Analyzer on SrvDB
Manual reading	Pre-grouped reports
Scattered events	Linked events
Slow trends	Early clusters

How it works

1. Ingest reports.
2. Embed.
3. Cluster.
4. Review trends.
5. Act.

SrvDB features it uses

• search_batch: runs many queries at once, in parallel inside Rust.
• True cosine scores: scores in [-1, 1] mean the same in every mode, so thresholds are stable.
• upsert: inserts new items and replaces changed ones, so the knowledge base stays current.
• Crash-safe persist(): after it returns, data survives a crash or power loss and reopens exactly as committed.

Use cases

• Ground incidents
• Maintenance errors
• Bird strikes
• Cabin events
• Ramp safety
• Training findings

Core code

embed() is your embedding model (for example sentence-transformers, or a function that turns your records into feature vectors).

import json
import srvdb

db = srvdb.Database("./safety-report-analyzer-db", dimension=384)

def ingest(items):
    """items: list of (id, text, metadata dict)"""
    db.upsert(
        ids=[i for i, _, _ in items],
        embeddings=[embed(t) for _, t, _ in items],
        metadatas=[json.dumps(m) for _, _, m in items],
    )
    db.persist()                      # crash-safe checkpoint

def similar_events(report, k=5):
    hits = db.search(embed(report), k)
    return [(json.loads(db.get(i)), round(score, 3)) for i, score in hits]

Limits and honest notes

• Safety analysts make determinations.

Caution

SrvDB is not certified software. Use it for decision support and knowledge retrieval, never in flight-critical or certified systems.

Build roadmap

1. Prototype: load a sample of real data with flat mode and check that searches return what an expert expects.
2. Measure: if you move to an approximate mode, compare its results with flat on the same queries (recall).
3. Pipeline: add continuous upsert and decide when to call persist().
4. Harden: test restarts and crashes, add logging, review every output path with domain experts.
5. Deploy: ship the database directory with the application or service.

All Aerospace projects

Level	Project	What it does
1 · Beginner	Maintenance Knowledge Assistant	Cited answers from manuals and service bulletins for technicians.
2 · Intermediate	Safety Report Analyzer (this page)	Clusters safety reports and links similar events.
3 · Advanced	Fleet Finding Matcher	Matches new maintenance findings to similar findings across the fleet.
4 · Expert	Borescope Image Search	Find similar borescope images and the findings they led to.
5 · Frontier	Mission Knowledge System	Offline mission and ground-segment knowledge for space operations.

See also: Use cases · Live examples (coming soon)