摘要
从方法原理、系统应用和技术特点等方面出发,系统地论述了近年来带式输送机运输火灾风险智能监测与早期预警技术的研究进展,主要包括巡检技术、分布式光纤测温技术、机器视觉技术、无线通信网络技术与数据驱动技术;探讨了各种监测与预警技术的优点及不足;围绕煤矿巷道现有监测手段及数字智能化发展热点,提出了矿井带式输送机运输火灾与早期预警的新型智能化监测预警体系:“大(大数据)智(智能化)移(移动互联网)云(云计算)”带式输送机火灾监测系统和多方法耦合、立体式、连续性监测体系等。
Starting from the perspective of method principle, system application, and technical characteristics, this paper systematically discussed the research progress of intelligent monitoring and early warning technology concerning fire risk of belt transportation, including inspection technology, distributed optical fiber temperature measurement technology, machine vision technology, wireless communication network technology and data-driven technology. Moreover, the advantages and disadvantages of those monitoring and early warning technologies were discussed. Based on the existing monitoring means of coal mine roadway and the development hotspot of digital intelligence, we proposed a new intelligent monitoring and early warning system for mine belt transportation fire and early warning:“Big-Intelligent-Mobile-Cloud”(big data, intelligent, mobile internet, and cloud computing respectively) coal mine belt fire monitoring system and multi-method coupling, three-dimensional, continuous monitoring system.
作者
白光星
陈炜乐
孙勇
宋双林
李国芳
王彩萍
王伟峰
康付如
BAI Guangxing;CHEN Weile;SUN Yong;SONG Shuanglin;LI Guofang;WANG Caiping;WANG Weifeng;KANG Furu(College of Safety Science and Engineering,Xi'an University of Science and Technology,Xi'an 710054,China;Shaanxi Key Laboratory of Prevention and Control of Coal Fire,Xi'an 710054,China;China Coal Technology and Engineering Group Shenyang Research Institute,Fushun 113122,China;State Key Laboratory of Coal Mine Safety Technology,Fushun 113122,China;Shandong Xinjulong Energy Co.,Ltd.,Heze 274000,China)
出处
《煤矿安全》
CAS
北大核心
2022年第9期47-54,共8页
Safety in Coal Mines
基金
国家自然科学基金资助项目(52004211,52174201)
泸州市科技计划面上资助项目(2021-SYF-42)。
关键词
带式输送机火灾
监测系统
智能监测
数据驱动
预测预警
belt transportation fire
monitoring system
intelligent monitoring
data driven
prediction and early warning
