基于大数据的智能城市消防安全管理政策的可持续发展评估
1Shanghai Putuo Fire and Rescue, 519 Zhenguang Road, Putuo district 200333, Shanghai, China.
Mathematical biosciences and engineering : MBE
|November 3, 2023
概括
智能城市的消防安全管理是通过大数据 (BD) 和人工智能 (AI) 增强的. 这一新政策提高了9.07%的灭火效率,减少了火灾,损坏和伤亡.
科学领域:
- 城市规划和城市管理.
- 数据科学和人工智能数据科学和人工智能
- 公共安全和灾害管理.
背景情况:
- 传统的消防安全管理缺乏技术支持和准确的数据分析,导致效率低下.
- 智慧城市计划将大数据 (BD) 和人工智能 (AI) 整合到城市发展中.
- 现有的消防安全政策很难有效地应对复杂的城市环境.
研究的目的:
- 研究大数据 (BD) 分析在智能城市消防安全管理中的应用.
- 提出新的消防安全管理方法,利用BD,AI和可持续发展原则.
- 分析这些新方法在现实城市环境中的有效性.
主要方法:
- 总结了大数据 (BD),人工智能 (AI) 和智能城市之间的相互关系.
- 分析了传统的城市消防安全管理模型的局限性.
- 开发并应用了一个新的消防安全管理框架,包括BD和AI.
主要成果:
- 拟议的BD和AI驱动的消防安全管理政策显示了显著的改进.
- 在2022年1月至6月,南的灭火效率提高了9.07%.
- 观察到火灾,财产损失和伤亡人数显著减少.
结论:
- 大数据 (BD) 和人工智能 (AI) 的整合为智能城市的消防安全管理提供了更有效的方法.
- 新政策为加强城市消防保护提供了实用和高效的模式.
- 这项研究可以作为智能城市开发中未来的 BD 应用的宝贵参考.
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