摘要
森林防火作为防灾减灾工作的重要组成部分,事关森林资源和生态安全,事关人民群众生命财产安全,事关社会稳定发展.基于此,介绍了广西森林防火的基本形势,分析了森林火灾的常见原因和影响,详细阐述了系统架构、传感器网络、数据采集与处理、预警模型以及预警通知与响应的具体内容,探讨了数据挖掘与机器学习、实时数据处理与大数据技术、人工智能辅助决策等技术的应用,以提高系统的效率和准确性.还能为森林防火预警监测系统建设提供参考和借鉴.
Abstract
Forest fire prevention,as an important part of disaster prevention and reduction work,it is related to for-est resources and ecological security,the safety of people's lives and property,and the stable development of society.Based on this,this article introduces the basic situation of forest fire prevention in Guangxi,analyzes the common causes and effects of forest fires,elaborates on the system architecture,sensor network,data collection and process-ing,early warning model and early warning notification and response,and discusses the relationship between data mining and the application of machine learning,real-time data processing and big data technology,artificial intelligence-assisted decision-making and other technologies,in order to improve the efficiency and accuracy of the system.It can provide reference and reference for the construction of forest fire early warning monitoring system.
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