Android平台下多状态模型高预警率救灾预警方法  

Method of High Rate Disaster Warning System with Multi-State Model in Android Platform

作　　者：赵元庆[1] 金显华[2] 

机构地区：[1]安阳师范学院计算机与信息工程学院,河南安阳455000 [2]安阳师范学院公共计算机教学部,河南安阳455000

出　　处：《科技通报》2014年第6期79-81,共3页Bulletin of Science and Technology

基　　金：国家自然科学基金青年基金项目(41001251);河南省科技厅基础与前沿研究项目(112300410129);残疾人人机交互面部检测及跟踪技术研究(112300410128)

摘　　要：高可靠性和预警概率的救灾预警系统是保障现代化发展免受灾害破坏的重要手段。传统的救灾预警系统无法挖掘出数据之间的相关信息。提出一种Android平台下基于多状态模型的高预警率物联网救灾预警系统,将各节点采集的数据传输到统一平台上,建立不同节点的多状态模型,然后在模型基础上采用数据挖掘的方法,提取各平台多状态模型数据之间的相关信息,通过模型融合后的总体判决,实现预警。最后采用一组10节点的网络进行性能测试,结果显示,基于物联网的多状态数据融合预警系统将正确预警率提高到了98%,远高于传统的65%,具有很好的工程应用价值。The high reliability and probability of disaster early warning system was the most important method to protect the modern development from the destruction. In traditional disaster warning system, it cannot excavate relevant information be-tween the data. The design of high rate disaster warning system with multi-state model in Android platform was proposed, the data of each sensor was collected into a unified platform, and then the multi-state model was build up, the data mining was finished on the model, with the difference between the model mixed, the high rate of early warning was achieved. Final-ly a team of 10-nodes network was used to test the performance, the result shows that with multi-state data fusion method, the warning rate increases to 98%, which is much higher than the traditional 65%, it has good warning application.

关 键 词：ANDROID 多状态 数据融合 救灾预警 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]