欢迎访问林草资源研究

林业资源管理 ›› 2011›› Issue (2): 83-89.

• 科学技术 • 上一篇    下一篇

动态数据驱动的林火模拟系统设计与实现——以北京市森林防火系统为例

杨广斌1,2, 刘鹏举2, 唐小明2, 李亦秋3   

  1. 1.贵州师范大学 地理与环境科学学院,贵阳 550001;
    2.中国林业科学研究院资源信息所,北京 100091;
    3.绵阳师范学院 资源环境工程学院,四川 绵阳 621000
  • 收稿日期:2010-10-26 修回日期:2011-02-16 出版日期:2011-04-28 发布日期:2020-12-21
  • 通讯作者: 刘鹏举,男,副研究员,主要研究方向:林业GIS应用开发技术研究。Email:liupeng@caf.ac.cn
  • 作者简介:杨广斌(1973-),男,山东聊城人,副教授,博士,主要从事地理信息系统开发与应用研究。Email:ygbyln@163.com
  • 基金资助:
    863国家重点基金项目(2070805904);教育部科学技术研究重点项目(209111);国家自然科学基金(5002014018)

Design and Realization of the Dynamic Data Driven System of Forest Fire Simulation——the Case Study of Beijing Forest Fire Prevention System

YANG Guangbin1,2, LIU Pengju1, TANG Xiaoming1, LI Yiqiu3   

  1. 1. Department of Geography and Environment Sciences,Guizhou Normal University,Guiyang 550001,Guizhou Province,China;
    2. Institute of Forest Resource Information Techniques,Chinese Academy of Forestry,Beijing 100091,China;
    3. Department of Resource and Environment Sciences,Mianyang Normal University,Mianyang 621000,China
  • Received:2010-10-26 Revised:2011-02-16 Online:2011-04-28 Published:2020-12-21

摘要: 在地理模拟系统理论基础之上,结合动态数据驱动应用系统技术范式,提出了林火模拟全新的技术框架和结构体系。探索林火模拟系统建设过程中的模型库建设与管理、模型适宜性选择、模型自适应修正、模拟过程实时验证和林火空间扩散模拟等关键技术。研究结果表明,林火模型的自动化和智能化选择精度可达到75%,模型模拟误差修正也达到了较为理想的效果。随着系统建设的进一步完善,本系统将与北京市林火管理业务化运行系统集成,这将进一步提高林火扑救的指挥决策能力。

关键词: 动态数据, 林火模拟, 复杂系统, 人工神经网络

Abstract: Based on geographical simulation system theory and taking dynamic data driven application systems as technological paradigm,this paper brought forward a new fire simulation technology framework and network system,solved the key technology in the simulation system building process such as model base construction and management,model suitability selection,model adaptive correction,real-time simulation validation,forest fire space spreading simulation,and so on.Automation and intelligent selecting precision of the forest fire model reached more than 75%.Model error correction simulation reached a more satisfactory result.With the further improvement of system construction,the system will integrate with the operational system,and improve the forest fire fighting decision-making.

Key words: dynamic data, forest fire simulation, complex system, artificial neural network

中图分类号: