環境要因のカップリングの下で,複数のタイプの安全イベントのリスクの特定と評価

Qian Liu¹, Junqiao Li², Zhixin Jin^1,3

¹College of Safety and Emergency Management Engineering, Taiyuan University of Technology, Jinzhong, 030600, China.

Scientific reports

|February 16, 2026

まとめ

この研究は,産業安全イベントのリスクを特定し,評価するための新しいモデルを導入しています. それは,理論とデータを統合して,複数の要因が安全事故にどのように貢献するかをよりよく理解します.

科学分野:

産業安全産業安全について
リスク管理リスク管理
データサイエンスデータサイエンス

背景:

高リスクの産業環境では,安全研究のための膨大なセンサーデータを生成します.
現在のデータ駆動的手法では,安全イベント (SE) に影響を与える要因の複雑で非線形的な関係が捉えられない.
異なるSEタイプに複数の要因が共同で与える影響を説明するために,体系的な枠組みが必要である.

研究の目的:

複数のタイプのSEリスクの特定と評価のための理論とデータの統合モデルを提案する.
環境要因の非線形結合によって導かれるSEの連鎖進化プロセスを解明する.
階層的な因子関連とクロススケールの相互作用を理解するための体系的な枠組みを確立する.

主な方法:

クロス・スケール・エマージョンの観点から理論的枠組みを開発した.
データベースのリスク識別と評価モデル (RIAM) を構築しました.
測定可能な環境要因 (MEFs) のSEsへの貢献を定量化するためにオンライン学習を利用した.

主要な成果:

提案されたモデルは,マルチファクターカップリングによる累積的なリスク効果を効果的に捉えています.
SEの識別の精度が向上しました.
リスク評価におけるモデルの解釈性の向上.

結論:

統合モデルは,複雑な産業環境におけるSE予測と予防のための新しいアプローチを提供します.
SEをクロススケール・エマージョンの観点から理解するための方法論的基礎を提供します.
産業安全における非線形因子結合の重要性を強調する.

キーワード:

コントリビューションコントリビューションコントリビューションクロス・スケール・エマージェンスの出現環境要因環境要因解釈性について説明します.リスク評価リスク評価セキュリティーイベントセキュリティーイベント

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