中国科技核心期刊
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青海某金矿安全监管视频AI智能系统建设
- 作者：
陈生凯|明平田|申宁
- 作者单位：
- （1.青海省第六地质勘查院；2.都兰金辉矿业有限公司；3.青海省金矿资源开发工程技术研究中心）
基金项目：
- 四川省科技计划项目(2022YFQ0074);青海省重大灾害风险防控建设项目(青应急〔2024〕34号)
详细信息：
- 作者简介：
- 陈生凯（1993—），男，助理工程师，从事金属地下矿山开采、中深孔爆破管理、矿山安全生产管理等工作;E-mail:2768661013@qq.com
- PDF下载
Construction of an AI-based intelligent video monitoring system for safety regulation in a gold mine in Qinghai
- English Author：
Chen Shengkai, Ming Pingtian, Shen Ning
- Unit：
- (1. Qinghai 6th Institute of Geology and Mineral Exploration; 2. Dulan Jinhui Mining Co., Ltd.; 3. Engineering and Technology Research Center for the Development of Gold Mining Resources in Qinghai Province)
- 摘要
- 在线预览
- 参考文献
摘要:
智能矿山是数字矿山和综合自动化系统发展的延续，是建设绿色矿山、培育新质生产力、提升矿山企业核心竞争力、推动高质量发展的必经之路。当前趋势下，矿山企业积极融入矿山数字化转型和智能化变革，利用新质生产力提升矿山安全生产管理模式势在必行。通过深入分析青海某金矿开发现状、安全生产监管和数字化建设现状，以及安全监管视频AI智能系统建设的必要性，详细阐述安全监管视频AI智能系统主要搭建内容和采用的关键算法，以及试运行情况。实践表明，安全监管视频AI智能系统建设对提高矿山安全生产监管效率，保障人员生命安全，探索可视化、智慧化的远程安全管理模式具有指导意义。
关键词:
智能矿山；新质生产力；安全监管；视频；AI；算法技术；矿山安全
Abstract:
An intelligent mine represents the continuation of digital mine development and integrated automation systems.It is a critical pathway for building green mines,fostering new quality productive forces,enhancing the core competitiveness of mining enterprises,and promoting high-quality development.In the current landscape,mining enterprises actively embrace digital transformation and intelligent upgrades,making the adoption of new quality productive forces essential to improve safety management in mining operations.This study analyzes the current state of development,safety regulation,and digitalization in a gold mine in Qinghai,along with the necessity of constructing an AI-based intelligent video monitoring system for safety regulation.It elaborates on the primary components and key algorithms of the system as well as the results of trial operations.The findings demonstrate that the construction of an AI-based intelligent video monitoring system for safety regulation significantly improves the efficiency of safety regulation,ensures personnel safety,and provides valuable insights for exploring visualized and intelligent remote safety management models.
Keywords:
intelligent mine;new quality productive forces;safety regulation;video;AI;algorithm technology;mine safety
