基于综合评价熵值算法的火灾风险评估  

Fire risk assessment based on comprehensive evaluation entropy algorithm

作　　者：丁诗懿 杨涵 Ding Shiyi;Yang Han(Hangzhou Fire and Rescue Division,Zhejiang Hangzhou 310000,China;School of Materials Science and Engineering,Zhejiang University,Zhejiang Hangzhou 310000,China)

机构地区：[1]杭州市消防救援支队,浙江杭州310000 [2]浙江大学材料科学与工程学院,浙江杭州310000

出　　处：《消防科学与技术》2024年第6期797-799,819,共4页Fire Science and Technology

摘　　要：探讨如何运用大数据提升消防领域的决策和实时指挥能力,通过技术整合和分析消防数据,在各种消防场景中实现更精细的火灾防控、更智能的灭火救援以及更高效的后勤管理。采用综合评价熵值算法优化消防策略,深入分析消防业务的特点,探讨数据治理在消防领域的关键要素。讨论这些策略的构建方法论、数据获取与处理技术,以及如何将这些策略有效融入现有消防实践,以达成上述目标。研究的核心目的是通过科学的数据管理和技术融合,在消防领域创造价值、提升火灾应对的效率和成效。Explore how to use big data to enhance decision-making and real-time command capabilities in the field of fire protection,integrate and analyze fire data through technology,and achieve more refined fire prevention and control,more intelligent firefighting and rescue,and more efficient logistics management in various fire scenarios.Using the comprehensive evaluation entropy algorithm to optimize fire protection strategies,deeply analyzing the characteristics of fire protection business,and exploring the key elements of data governance in the field of fire protection.Discuss in detail the methodology for constructing these strategies,data acquisition and processing techniques,and how to effectively integrate these strategies into existing firefighting practices to achieve the above goals.The core purpose of the research is to create value and improve the efficiency and effectiveness of fire response in the field of fire protection through scientific data management and technological integration.

关 键 词：智慧消防 大数据 物联网 数据治理 单位消防安全评估 

分 类 号：X921[环境科学与工程—安全科学] D631.6[政治法律—政治学]