世界有色金属2024,Issue(1) :145-147.

基于机器视觉的矿山地质灾害应急测量方法分析

Analysis of Emergency Measurement Method for Mining Geological Hazards Based on Machine Vision

尹瑱
世界有色金属2024,Issue(1) :145-147.

基于机器视觉的矿山地质灾害应急测量方法分析

Analysis of Emergency Measurement Method for Mining Geological Hazards Based on Machine Vision

尹瑱1
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作者信息

  • 1. 安徽省地勘局第一水文工程地质勘查院,安徽 蚌埠 233000
  • 折叠

摘要

矿山地质灾害对矿山开采效率的影响极大,要降低地质灾害发生的概率或减少地质灾害带来的损失,需采取针对性测量措施,采集相关数据和参数,为地质灾害应急处置提供数据依据.本文首先介绍矿山地质灾害应急测量的流程,分析矿山地质灾害的特点及成因,基于某矿山应急测量工程,探讨机器视觉技术在矿山地质灾害中的实践方法,以此为相关人员提供测量实践参考.

Abstract

Geological disasters have become one of the most frequent disasters in mining.Geological disasters in mines have a significant impact on mining efficiency.To reduce the probability of geological disasters occurring or the losses caused by geological disasters,targeted measurement measures need to be taken to collect relevant data and parameters,providing data basis for emergency response to geological disasters.This article first introduces the process of emergency measurement for mining geological disasters,analyzes the characteristics and causes of mining geological disasters,and based on a certain mining emergency measurement project,explores the practical methods of machine vision technology in mining geological disasters,in order to provide measurement practice reference for relevant personnel.

关键词

矿山地质灾害/应急测量/机器视觉技术/图像采集/云平台系统

Key words

mining geological hazards/Emergency measurement/Machine vision technology/Image acquisition/Cloud platform system

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出版年

2024
世界有色金属
有色金属技术经济研究院

世界有色金属

影响因子:0.138
ISSN:1002-5065
参考文献量5
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