Combine visual and numeric checks
Blend appearance, size, defect tags, and yield indicators into one practical rank.
Use it as a comparison memo, not an resmi grade.
Return a reference rank even when numeric data is sparse.
Line up multiple lots with the same baseline.
URL ile paylaşın ve tarayıcıda yerel bir kopya tutun.
Cocoon Grading Memo
Her parti için görünüm, boyut, kusurlar ve verim notlarını kaydedin, ardından bunları aynı ölçütle karşılaştırın.
Kabuk yüzdesi, filament uzunluğu ve sarılabilirlik kombinasyonu ile sahada paylaşılması kolay pratik bir sıralama elde edin.
Girdiler bu tarayıcıda işlenir ve asla bir sunucuya gönderilmez.
Surface severe defects early
Wet, mixed lot, mold, and hole conditions get separate and recheck markers.
Compare multiple lots side by side
Paste CSV data or import a file to get a ranked comparison table quickly.
Yerel tutun ve URL ile paylaşın
Verileri cihazda bırakın, ardından yalnızca aktarmanız gerektiğinde bir paylaşım URL'si kopyalayın.
Notlar
This is a comparison memo, not an resmi grading result.
The target ranges for shell percent, filament length, and reelability vary by strain, region, and local practice.
Use wet, mixed lot, mold, and hole conditions as cues for separation or a recheck.
Varsayılan olarak, girdiler bir sunucuya gönderilmez.
Basics
Start with the lot identity and the state you want to compare.
- Enter the lot code and basic inspection details first.
- Record appearance, size, defects, shell percent, filament length, and reelability.
- Add more lots if you want to compare them in one table.
- Sıralamayı, puanı ve uyarıları gözden geçirin, ardından gerekirse paylaşın veya dışa aktarın.
Examples
Reference lot example
Girdi
Lot code: 2026-SP-03-A12 / appearance: good / size: uniform / shell percent: 20.5% / filament length: 1050m / reelability: 62% / defects: slight stain
Çıktı
Yüksek güven ve yalnızca hafif uyarılarla bir A sıralaması olarak gösterilir, referans parti olarak uygundur.
Sparse numeric data example
Girdi
Lot code: 2026-SP-03-B07 / appearance: fair / size: mostly uniform / defects: thin shell
Çıktı
Shown as a low-confidence memo driven mostly by appearance; extra numeric data improves the result.
Severe defect example
Girdi
Lot code: 2026-SP-03-C02 / appearance: poor / size: mixed / defects: wet, mixed lot
Çıktı
Flags for separate handling and recheck appear, and the warning stands out in the comparison table.
Glossary
Appearance rating
Stores the external look of the cocoon on an excellent / good / fair / poor scale.
Size rating
Records how uniform the cocoon size looks.
Defect tags
Fast labels for defect factors that reduce the rank or trigger a warning.
Shell percent
One of the main quality indicators for how much shell remains in the cocoon.
Filament length
How much silk thread can be drawn from the cocoon.
Reelability
How suitable the cocoon is for reeling.
Confidence
Sayısal göstergelerin sayısı ve örnek sayısına dayalı kaba bir güven düzeyi.
Batch comparison
Line up multiple lots and compare them with the same baseline.
Formulas
- Visual block = weighted average of appearance, size, and defect scores
- Quality block = weighted average of shell percent, filament length, and reelability
- Final score = weighted average of the two blocks - missing-metric penalty
- Rank = A / B / C / D using 80 / 65 / 50 thresholds
- Confidence = high / medium / low from the 3 numeric metrics and sample count
SSS
Can I use this as an resmi grade?
No. It is a memo for field comparisons, not an resmi grade certificate.
Does it work without numeric data?
Yes. It can still return a reference rank from appearance and defects, though confidence stays low.
What happens with severe defects?
Separate and recheck flags are added automatically.
Can I auto-sort multiple lots?
Yes. You can toggle rank-based sorting in ayarlar.
Where is the data stored?
By default, it stays in this tarayıcı. Export JSON or CSV if you want to move it elsewhere.
Can I switch units?
Yes. Weight supports g / oz, and filament length supports m / ft.