基于图像智能分析的全天候危岩崩塌灾害实时监测设备研究  

Research on Real-Time Monitoring Equipment for All-Weather Dangerous Rock Collapse Disaster Based on Image Intelligent Analysis

作　　者：张慧敏[1] ZHANG Huimin(Department of Communication,Chongqing College of Electronic Engineering,Chongqing,401331 China)

机构地区：[1]重庆电子工程职业学院通信工程学院,重庆401331

出　　处：《科技资讯》2020年第27期44-46,49,共4页Science & Technology Information

基　　金：重庆市教育委员会科学技术研究项目《危岩崩塌实时图像识别技术研究资助》(项目编号:KJQN201803104)。

摘　　要：危岩崩塌、滑坡、泥石流是地质灾害的主要类型,为降低边坡危岩崩塌带来的损失,在不断加强地质灾害治理工作的同时,需要借助一系列技术手段对高危地区进行实时监测。该文介绍了基于图像智能分析的全天候危岩崩塌灾害实时监测设备的设计方法,开展面向危岩崩塌灾害监测的实时图像识别算法研究,并给出了实验结果,证明了系统的有效性。Dangerous rock collapse,landslide and debris flow are the main types of geological disasters.In order to reduce the losses caused by slope collapse,a series of technical means are needed to monitor the high-risk areas in real time while strengthening the geological disaster control.This paper introduces the design method of real-time monitoring equipment for dangerous rock collapse disaster based on image intelligent analysis.The real-time image recognition algorithm for dangerous rock collapse disaster monitoring is studied.The experimental results show that the system is effective.

关 键 词：边坡检测 危岩 实时监测 图像处理 

分 类 号：TP274[自动化与计算机技术—检测技术与自动化装置]