feat: IoT Predictive Maintenance #1641

[SatyamPandey-07]

Key Features:

Anomaly Detection: Monitors vibration amplitudes and thermal profiles to detect early signs of bearing or engine failure.
Component Wear Mapping: Tracks real-time wear drift of internal parts relative to total engine hours.
Forecaster Service: Heuristic-based inference engine that assigns failure probabilities and criticality levels to assets.
Repair Escrow: Integration with the financial ledger via MAINTENANCE_ESCROW_RELEASE for automated repair funding.
Files Changed:

backend/models/iot_maintenance.py

backend/services/maintenance_forecaster.py

backend/api/v1/maintenance_v2.py

backend/tasks/maintenance_sync.py

backend/models/ledger.py

backend/models/audit_log.py

backend/models/
init
.py

backend/api/v1/
init
.py

examples/test_predictive_maintenance.py

[vercel]

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[github-actions]

Thanks for creating a PR for your Issue! ☺️

We'll review it as soon as possible.
In the meantime, please double-check the file changes and ensure that all commits are accurate.

If there are any unresolved review comments, feel free to resolve them. 🙌🏼

[omroy07]

Connlict

[SatyamPandey-07]

Done 👍

[SatyamPandey-07]

Resolved

[omroy07]

Not Resolved

[SatyamPandey-07]

No conflicts with base branch
Changes can be cleanly merged

[github-actions]

🎉 Congrats @SatyamPandey-07 on getting your PR merged! 🙌
Thanks for the contribution — looking forward to more from you 🚀