Sensor configuration optimization for statistical source estimation: method based on the entropy of adjoint equations and its application to building group model

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  • 確率的発生源同定におけるセンサー配置の最適化： 随伴濃度エントロピーに基づく手法の提案と市街地モデルへの適用
  • カクリツテキ ハッセイ ゲン ドウテイ ニ オケル センサー ハイチ ノ サイテキカ : ズイハン ノウド エントロピー ニ モトズク シュホウ ノ テイアン ト シガイチ モデル エ ノ テキヨウ

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<p>This research proposed a sensor configuration optimization method for statistical source term estimation by designing an objective function and applying a simulated annealing algorithm. The objective function is based on the entropy of adjoint concentration distribution to evaluate the information that a configuration can measure. The performance of the proposed method was evaluated by producing an optimal sensor configuration for a regular block-arrayed building group model. The optimal configuration was applied in the estimations for 25 unknown sources. Its performance was compared to that of uniform and random configurations. According to the results, the estimation accuracy of configurations is positively related to their values of objective function. The optimal configuration outperformed other two configurations because it can measure more information of unknown sources.</p>

Journal

  • SEISAN KENKYU

    SEISAN KENKYU 74 (1), 65-71, 2022-02-01

    Institute of Industrial Science The University of Tokyo

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