基于大数据分析的智能消防灭火救援系统优化研究

Research on the Optimization of Intelligent Firefighting and Rescue System Based on Big Data Analysis

随着城市化进程的加快和城市规模的扩大,火灾事件频发,对消防灭火救援系统提出了更高的要求。文中基于大数据分析技术,对智能消防灭火救援系统进行了优化研究。通过收集和分析火灾数据,结合机器学习和预测模型,提高了火灾预警的准确性和响应速度。经研究,优化后的系统能显著提升灭火救援的效率和效果,减少火灾损失。

With the acceleration of urbanization and the expansion of city scale,fire incidents occur frequently,which puts forward higher requirements for fire extinguishing and rescue systems.Based on big data analytics technology,this paper conducts optimization research on intelligent fire extinguishing and rescue systems.By collecting and analyzing fire data,combined with machine learning and prediction models,the accuracy and response speed of fire warning are improved.After research,the optimized system can significantly improve the efficiency and effect of fire extinguishing and rescue,and reduce fire losses.