摘要
设计了一种采用无线传感器网络作为主要技术手段的山体滑坡预警监测系统.研究核心是滑坡体应力数据的统计模型以及相应的分布式监测算法.应力数据通过高斯变量平均过程(VMGP)来建模.在滑坡预报中,漏报率是衡量监测系统性能好坏的标准.把分布式监测算法和传统的中心监测算法作了对比分析,实验从滑坡漏报率分析得到前者的性能优于后者,从而验证了分布式监测算法的可行性.
An early warning detection system for landslides using wireless sensor network as the main technical means,is designed.Statistical modeling of the landslide stress data and the distributed detection algorithm are the core of this study.The stress data are modeled using variable mean Gaussian process.In the forecasting of landslide,miss alarm is a standard which measures the performance of good or bad of detection system.The distributed detection（DD） algorithm and the traditional centralized detection（CD） algorithm,are analyzed comparatively.According to the simulation,we find that DD gives better results than CD with respect to miss alarm ratio of landslide,so as to prove the feasibility of DD algorithm.
出处
《三峡大学学报（自然科学版）》
CAS
2010年第6期33-35,46,共4页
Journal of China Three Gorges University：Natural Sciences
基金
湖北省教育厅自然科学基金项目(Q20091308)
