摘要
尾矿库区域安全预警可以及时掌握区域内尾矿库安全态势的变化,防患未然,为尾矿库安全决策提供基础信息,具有重要的意义。建立一个高度自动化、智能化的区域安全预警系统,将在尾矿库的安全管理体系中发挥积极的作用。在确定尾矿库区域预警指标体系的基础上,本文首先介绍了支持向量机的基本原理,其次介绍了模型样本的生成方法,然后说明了怎样实现模型,最后举出实例。通过该方法可以确定尾矿库的预警等级,从而为有效预防事故的发生提供了依据。
The tailing reservoir disaster alert is important to provide information to take some measure, master tailing reservoir safety trend and prevent the occurrence of accident. The establishment of an automated, intelligent alert system can play a positive role in the safety management of tailing reservoir. Firstly, on the base of the alert index system, the basic principle of Support Vector Machine （SVM） was introduced. Secondly, the formulation method of simulation sample and implementation technique of the alert model was explained. Lastly, the example was given in the paper. The alert grade provides evidence to prevent the occurrence of tailing reservoir accident and is helpful to the supervisor.
出处
《中国安全生产科学技术》
CAS
2008年第4期17-21,共5页
Journal of Safety Science and Technology
基金
国家十一五科技支撑计划项目(2006BAK04B01-3)
国家自然科学基金项目(编号:50709031)
中国安科院基本科研业务费专项资金项目(编号:2007JBKY02)
关键词
尾矿库
支持向量机
区域预警
指标体系
tailing reservoir
Support Vector Machine
alert model
index system
