Upload MES, SCADA and ERP exports. See where your BIW line is wasting energy.
virtauto.OS scans production and energy signals locally in your browser and turns them into an Energy Opportunity Report: estimated savings, idle losses, peak load risk, compressed air issues and standby windows — ready for a 90-day pilot discussion.
6% target after baseline validationBIW · DoorlineMES + SCADA + ERPEnergy Opportunity ReportYour data stays local
01
Upload exports
02
Configure scan
03
Review opportunities
04
Request pilot review
§ 1 — Data Upload
Start with your exports — or use neutral synthetic BIW demo data.
Supported input
You can upload one combined file or separate SCADA, MES and ERP CSVs. The synthetic plant_a_combined_energy_biw.csv works directly as a combined file.
Minimum useful fields: timestamp or date/shift · energy_kwh_interval or usage_kwh · production_active or output quantity · compressed air signals if available.
Energy, load, compressed air, peak and standby signals from the line or stations.
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scada_export.csv
timestamp · kWh · power · compressed air
Alternative
MES Export
Shift, takt, stop, output and quality data. Used to separate useful consumption from idle loss.
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mes_export.csv
date · shift · output · stops · takt
Optional
ERP / Cost Export
Orders, quantities, energy cost, contribution margin. Improves the financial view.
💶
erp_export.csv
orders · quantity · cost · margin
No CSV at hand?
§ 2 — Scan Configuration
Define shift model, planned downtime and calibrated assumptions.
Shift model and planned stops
Idle-loss classification uses this configuration. Planned stops are reported separately and are not counted as savings potential.
Confirm your shift model to improve Model Confidence.
Calibrated savings factors
Overall saving potential is capped at the known OEM benchmark upper limit of 12% for BIW without process change. Formula: MIN(sum of individual potentials, 12% of dataset energy).
10–25% · Fraunhofer IPA · BIW lines with existing PLC control
15–40% · VDMA 34179 · depends on control depth
3–10% · StromNEV §19 · tariff dependent
8–18% · VDI 3971 · typical BIW air networks
Disclaimer: This tool provides an indicative energy opportunity assessment based on uploaded signals. Results are not an energy audit (DIN EN 16247) and must not be used as a standalone investment decision basis.
Capped at 12% BIW benchmark without process change
Annual Savings
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Annual extrapolation requires ≥14 days
Production Energy (active rows)
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12% cap on production base
Energy per Door
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Current → target estimate
Data Quality
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Field completeness + coverage
Idle Losses
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Unplanned energy without useful production
Peak Load Risk
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Simultaneous high-load windows
Compressed Air Issues
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Leakage or constant flow indicators
Planned Stop Energy
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Reported separately; not savings counted
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Data Confidence
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Model Confidence
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Overall judgement
Combined traffic light only. No pseudo-precision percentage.
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Idle loss detection
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Compressed air pattern
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Peak load exposure
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Shift and standby pattern
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// Energy profile sample · green = opportunity · orange = peak risk · red = idle loss
// Top 5 Opportunities
#
Opportunity
Reason
Saving
Confidence
// Top station-level opportunities
Station-level analysis requires station_id field in upload. See template.
§ 4 — Energy Opportunity Report
Summary, ROI and pilot path.
// Summary
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// Findings Engine
// Estimated ROI
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// Confidence Level
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// Data Security Statement
Your data stays local. This MVP runs fully in your browser. No backend upload, no database, no external storage. Secure pilot integration can be handled under NDA.
// George Response Upload
Upload the George decision JSON to close the browser → George → browser feedback loop. No backend upload; file is read locally.
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george_decision.json
Upload latest George decision response
Book a 90-day BIW Energy Pilot
Target: 6% target after baseline validation. Share your contact details to request a pilot review.
