基于机器视觉的智能算法在矿山安全监测系统中的应用  

Application of Intelligent Algorithm Based on Machine Vision in Mine Safety Monitoring System

作　　者：卢少波 LU Shaobo(Shanxi Fenxi Mining Co.,Ltd.)

机构地区：[1]山西汾西矿业有限责任公司

出　　处：《现代矿业》2024年第4期10-12,16,共4页Modern Mining

摘　　要：在矿山安全监测系统中,传统的人工检测方法已难以满足现代化矿山的需求。通过探讨基于机器视觉的智能算法在矿山安全监测系统中的应用,分析了矿山安全监测系统的关键技术需求,并提出了发展建议。分析发现,当前基于机器视觉的智能算法在矿山工程的应用中,主要受环境条件的限制,在监测的实时性以及数据处理的准确性方面面临挑战。提出采用多模态传感器获取更加全面的数据,以增强环境感知;在模型中加入MobileNets、ShuffleNets等轻量化网络模型,降低模型参数量;使用泛联兼容的协同控制系统将多个算法同时运行,进行综合分析,增强系统的泛化能力。In the mine safety monitoring system,the traditional manual detection method has been difficult to meet the needs of modern mines.By discussing the application of intelligent algorithm based on machine vision in mine safety monitoring system,the key technical requirements of mine safety monitoring system are analyzed,and the development suggestions are put forward.It is found that the current intelligent al-gorithm based on machine vision is mainly limited by environmental conditions in the application of mine en-gineering,and it faces challenges in real-time detection and accuracy of data processing.A multi-modal sensor is proposed to obtain more comprehensive data to enhance environmental perception.Lightweight network models such as MobileNets and ShuffleNets are added to the model to reduce the number of model parameters.By using the pan-connected compatible cooperative control system,multiple algorithms are run at the same time for comprehensive analysis to enhance the generalization ability of the system.

关 键 词：机器视觉 智能算法 矿山安全监测 深度学习 图像处理 

分 类 号：TD76[矿业工程—矿井通风与安全] TP391.41[自动化与计算机技术—计算机应用技术] TP18[自动化与计算机技术—计算机科学与技术]