面向119消防通信平台的自动推理模型研究

An Automatic Reasoning Model Based on Fire Data of 119 Call Information From Urban Fire Communication and Scheduling Platform

针对119城市通信调度系统平台多年来的海量接处警数据进行深度挖掘与利用,通过建立一种基于决策树的系统平台接处警数据自动推理模型,能够自动实现对表层数据的深层次信息挖掘和解析,并形成基于接处警数据的一类经验知识,实例分析研究表明该推理模型在理论上是可行的,分析得到的重大亡人火灾发生的一些规律性经验知识,能够较好地应用服务于当前消防工作的研判预测.

For deeply data mining of mass data based on 119 call information from urban fire communication and scheduling platform to automatically realize deep layer information analysis from surface layer data,an automatic reasoning model based on decision tree for analyzing data of 119 call information was designed in this paper,and a kind of experiential knowledge based on 119 call data was also gotten.In the paper,a group of examples wre studied.The analysis indicates that the reasoning model is feasible in theory,and a group of regular experiential knowledge from example analysis of some grave life lose fires can be applied to predict and analyze the fire situation currently.