Flybi / Services / Stockpile Intelligence
Product 02 · Stockpile Intelligence
Close the books on what you’re sitting on.
Audit-grade monthly stockpile measurements for thermal plants, steel mills, and mining operations. A 500-acre yard captured, processed, and reconciled in under 48 hours — with ±1.5% variance against weighbridge data.
The problem
"Broadly estimated" closing inventory is a billion-rupee accounting habit.
In most thermal plants and steel mills, closing inventory is still derived from rope-and-tape surveys, angle-of-repose guesses, or — bluntly — last month’s number plus judgement. The variance hides inside "normal loss" buckets. When auditors dig, variances of 5–10% are not unusual. On a 500,000-tonne coal yard, that is a material number.
The downstream effects compound: PLF reports become suspect, fuel-cost reconciliation drifts, statutory filings get qualified, and finance loses leverage over operations. The root cause is that nobody has defensible, repeatable, audit-grade tonnage — they have a best guess and a willingness to argue for it.
The Flybi solution
A monthly audit that runs like a payroll cycle.
Fixed calendar. Fixed scope. Fixed deliverable format. Zero improvisation. The same team, the same sensors, the same pipeline — so month-over-month numbers are comparable, auditable, and defensible against external review.
Capture
Calibrated drone flights with GCPs
RTK-enabled drones on pre-planned grids. Ground control points at known survey marks for accuracy anchoring. Flight times sized to pile geometry — not set by operator habit.
Process
Hardened photogrammetric pipeline
Dense point cloud → Digital Surface Model → per-pile segmentation → volumetric calculation against a named base plane. Every step reproducible, every version tracked.
Reconcile
Weighbridge-anchored sign-off
Final tonnage reconciled against weighbridge receipts or truck-count data for that period. The variance is in the report, not hidden in it.
Under the hood
The technical spec, simplified.
Sensor stack
RGB photogrammetry + LiDAR on demand
- 20 MP+ global-shutter RGB cameras
- RTK-level GNSS positioning
- LiDAR option for sheltered / covered yards
- Thermal overlay for self-heating stockpiles
Ground control
Survey-grade anchoring
- Permanent GCP network per site (installed once, reused monthly)
- DGPS / RTK survey of each GCP to ±2cm
- Check points held out of the solution for QA
Processing
Versioned photogrammetric pipeline
- Dense matching to sub-5cm point-cloud density
- DSM + DTM generation
- Per-pile geometry extraction
- Volumetric calculation against named base planes
Audit trail
Defensible in a finance review
- Sensor, flight, GCP, and processing metadata embedded
- Check-point residuals published in report
- Reconciliation against weighbridge inline
- Signed PDF + CSV archive retained for 7 years
Deliverables
What lands in your CFO’s inbox, every month.
/01
Audit-grade PDF
Per-pile volume & tonnage, check-point residuals, weighbridge reconciliation, sign-off panel.
/02
Signed CSV
Machine-readable line item per pile — ready to load into SAP, Tally, Zoho Books, or custom ERP.
/03
DSM & DTM
GeoTIFF surface models, retained as the geometric record for the period.
/04
Month-over-month delta
Movement volume, net change per pile, anomaly flags for piles with unusual variance.
/05
Historical baseline
Rolling 12-month trend per pile. Shrinkage, pilferage, or measurement drift becomes visible over time — not buried in it.
/06
API feed (optional)
Direct JSON feed into your dashboards or ERP. No portal-hopping. No CSV re-keying.
Commercial impact
The finance-economics case.
On a 500,000-tonne coal yard at ~₹3,500/tonne blended landed cost, moving from a 5% variance to a 1.5% variance means ₹6+ crore of inventory moves from the "estimated" column to the "measured" column. That is defensible tonnage on your books — not rhetoric.
Flybi vs alternatives
Why a plant head picks Flybi.
Flybi delivers
- Monthly calendar — no request-raising, no project setup each cycle
- Single reconciled tonnage number, with variance inside the report
- Historical baseline that makes movement visible, not theoretical
- Audit-grade artifact your statutory auditor cannot qualify
- Operations + finance alignment on one defensible number per pile
Manual and ad-hoc alternatives give you
- Rope-and-tape surveys with 5–10% variance hidden in "normal loss"
- Project-by-project drone vendors with no comparability month-over-month
- Fragmented data — different file formats, different vendors, different accuracies each cycle
- No historical trend; each measurement is an island
- Arguments between ops and finance that nobody has defensible data to resolve
Answers
Common questions on stockpile deployments.
What is stockpile volume measurement?
How often should a yard be measured?
Does operation stop during capture?
What about covered or sheltered stockyards?
How do you handle bulk-density variation?
Can this replace our statutory stock verification?
Book your next close
Measure the yard. Close the month. Move on.
Tell us about the yard — acreage, material, existing audit cadence, weighbridge setup — and we’ll return a scoped monthly engagement plan within 48 hours.