ケース / 積算とコスト
積算とコスト

Review what the AI read off the drawing

Take what the plan reader proposed on a PDF sheet and decide, proposal by proposal, what deserves to reach the bill. Triage by confidence band, check where each measurement got its scale, then accept only what you can defend.

4ステップ12 分総合建設会社専門工事業者コストコンサルティング会社 / 積算事務所

仕組みをステップごとに

プラットフォーム全体で4ステップ - 各ステップで何をするか、そしてなぜ重要か。

1

Run the plan read

PDF数量拾い

Open the sheet in Takeoff and run the plan read across it. The model comes back with proposed areas, lengths and counts, each carrying a score and a note of where its scale came from, and none of it has touched the bill yet.

理由: The read is cheap and the acceptance is not. Keeping proposals in a layer you can throw away means a badly scanned sheet costs you a rerun, rather than leaving you with quantities in a bill that you cannot account for a fortnight later.

入力PDF sheetSheet scale出力Measurement proposalsA score on each one
2

Triage by confidence band

PDF数量拾い

Read the review bar before you go anywhere near Accept all. Every proposal sits in a band, high, medium, low or not scored, drawn from the cut points the server publishes. The bar tells you how many are in the low band. Work that band first, one at a time, and either fix it on the drawing or throw it out.

理由: A bare percentage beside a suggestion is not a decision, because nobody can tell you whether sixty-two is good. A band means the same thing to you as it does to the machine that scored it. Accept all over a pile of weak proposals is how a plan read turns into an over-order that nobody notices until the material lands.

入力Measurement proposalsPublished thresholds出力Low-band countProposals cleared to accept
3

Check where the scale came from

PDF数量拾い

Open a measurement and read its scale-from line. It says whether the ratio was calibrated on this sheet, taken from the document scale, inherited from the sheet, read out of the drawing text, recovered by OCR, read off the drawing by the model, or is simply Unknown. Recalibrate anything you would not defend out loud.

理由: A wrong scale never looks wrong. It looks like a plausible number that happens to be out by a factor, and it stays plausible all the way to an order. When a sheet does turn out to have been measured at the wrong ratio, provenance is what lets you pull exactly the rows that inherited the bad ratio instead of remeasuring the whole drawing.

入力A proposed measurementWhere its scale came from出力Verified scale ratioRows on a bad sheet narrowed
4

Accept into the bill

内訳書

Push the measurements you have signed off into bill positions and attach rates to them. What arrives in the bill is what you reviewed, in the order you reviewed it, not what the model guessed on the first pass.

理由: The bill is the point of no return, because from here a number goes to a client, a subcontractor or a purchase order. A quantity that got in unreviewed is indistinguishable from one you measured yourself, right up to the moment somebody asks you to prove it.

入力Reviewed measurementsBill positions出力Priced bill linesQuantities traceable to the sheet
モジュール

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プラットフォーム 184 モジュール中 2

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