SURFACE CONTAMINATION DENSITY DISTRIBUTION ARITHMETIC UNIT, METHOD, AND PROGRAM
To provide an arithmetic technology that can check the validity of surface contamination density distribution calculated based on a measured space dose rate.SOLUTION: A surface contamination density distribution arithmetic unit 10 holds first space dose rate distribution data D1 and first structure...
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Main Authors | , , , |
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Format | Patent |
Language | English Japanese |
Published |
22.10.2020
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Subjects | |
Online Access | Get full text |
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Summary: | To provide an arithmetic technology that can check the validity of surface contamination density distribution calculated based on a measured space dose rate.SOLUTION: A surface contamination density distribution arithmetic unit 10 holds first space dose rate distribution data D1 and first structure data D2 in a target area, holds an arithmetic expression Y that is created through machine learning of the relationship between second space dose rate distribution data S1, second structure data S2, and second surface contamination density distribution data S3 in a model area 35, inputs the first space dose rate distribution data D1 and the first structure data D2 into the arithmetic expression Y and outputs the first surface contamination density distribution data D3 in the target area, gives an error component to each of input values constituting the first space dose rate distribution data D1, and detects whether or not a parameter of the arithmetic expression Y matches based on pieces of first surface contamination density distribution data D3, D3' that are output before and after the error components are given to the input values.SELECTED DRAWING: Figure 1
【課題】計測した空間線量率に基づいて演算した表面汚染密度分布の妥当性を確認することができる演算技術を提供する。【解決手段】表面汚染密度分布演算装置10は、対象エリアにおける第1空間線量率分布データD1及び第1構造物データD2を保持し、モデルエリア35における第2空間線量率分布データS1、第2構造物データS2及び第2表面汚染密度分布データS3の関係を機械学習して作成した演算式Yを保持し、この演算式Yに第1空間線量率分布データD1及び第1構造物データD2を入力し対象エリアの第1表面汚染密度分布データD3を出力し、第1空間線量率分布データD1を構成する入力値の各々に誤差成分を付与し、入力値に誤差成分が付与される前と後に出力された第1表面汚染密度分布データD3,D3´に基づいて演算式Yのパラメータの一致/不一致を検出する。【選択図】 図1 |
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Bibliography: | Application Number: JP20190076545 |