首页> 外文期刊>Artificial life and robotics >Develop a multi-detection security system using multi-sensor fusion algorithms
【24h】

Develop a multi-detection security system using multi-sensor fusion algorithms

机译:使用多传感器融合算法开发多检测安全系统

获取原文
获取原文并翻译 | 示例

摘要

The paper develops the multi-detection system using multi-level surveillance structure. The system contains active detection modules, passive detection modules, a supervised computer, an image system and an intelligent home. The passive detection modules contain wire/wireless detection modules and appliance control modules, and decide the event to be true or not using fusion algorithms, and transmit detection signals to the supervised computer via wire/wireless interface. Mobile robots are active detection modules and carry various sensors to search dangerous events. Each mobile robot transmits the realtime event signal to the supervised computer and the other mobile robots via wireless RF interface. The image system detects fire source using Otsu algorithm. The system integrates wire/wireless passive detection modules, mobile robots and image system to detect fire source using weighted average method. If the fire event occurs, the supervised computer calculates the dangerous grade using logical filter method according to the signals of detection modules in the first step, and transmits the position of the fire event to the other mobile robots. The assigned mobile robots move to the event location for double check autonomously, and transmit the detection results to the supervised computer. The supervised computer gives the final decision according to the feedback signals in the second step. Finally, we present some experimental scenarios using passive detection modules, active detection modules and image system for the fire detection in the intelligent home.
机译:本文开发了一种采用多层次监控结构的多检测系统。该系统包含主动检测模块,被动检测模块,受监控计算机,图像系统和智能家居。无源检测模块包含有线/无线检测模块和设备控制模块,并使用融合算法确定事件为真还是不正确,并通过有线/无线接口将检测信号传输到受监管的计算机。移动机器人是主动检测模块,并带有各种传感器以搜索危险事件。每个移动机器人都通过无线RF接口将实时事件信号传输到受监控的计算机和其他移动机器人。图像系统使用Otsu算法检测火源。该系统集成了有线/无线被动检测模块,移动机器人和图像系统,以使用加权平均法检测火源。如果发生火灾,则在第一步中,受监控计算机使用逻辑滤波方法根据检测模块的信号来计算危险等级,并将火灾的位置发送给其他移动机器人。分配的移动机器人自动移动到事件位置进行双重检查,并将检测结果传输到受监控的计算机。在第二步中,受监控计算机根据反馈信号给出最终决定。最后,我们介绍了使用无源检测模块,有源检测模块和图像系统进行智能家居火灾检测的一些实验方案。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号