摘要
为了减少煤矿职业病发生率,研制了一套井下空气质量在线监测与智能预警系统。该系统采用多传感器采集各类气体浓度,以分站与环网交换机建立通信,用Java编写上位机软件实现监测、储存、查询、显示、预警等功能,再建立井下环境评价模型,最终为井下提供在线实时监测与智能预警的空气质量评价系统。
In order to reduce the incidence of coal mine occupational diseases, a set of underground air quality online monitoring and intelligent early warning system was developed. This system uses multiple sensors to collect all kinds of gas concentration, takes the substation and ring net switch to establish communication, the upper PC software is written in Java to achieve monitoring, storage, query,display, warning and other functions, then builds a underground environment evaluation model, finally provides online real-time monitoring and intelligent warning for underground air quality evaluation system.
作者
苗彦平
常波峰
郑晓亮
陈旭
赵义元
郑旭鹤
李俊虎
Miao Yanping;Chang Bofeng;Zheng Xiaoliang;Chen Xu;Zhao Yiyuan;Zheng Xuhe;Li Junhu(Shenmu Hongliulin Mining Co.,Ltd.,Shaanxi Coal and Chemical Industry Group,Yulin 719300,China;Anhui University of Science and Technology,Huainan 232001,China)
出处
《煤矿机械》
2022年第9期195-199,共5页
Coal Mine Machinery
基金
陕北矿区煤矿空气净化与职业健康基础研究及关键技术装备与示范项目(SMHLL-JS-YJ-2020006)
陕西省创新能力支撑计划项目(2021TD-28)。
关键词
职业健康
在线监测
预警系统
评价模型
煤矿井下
空气质量
occupational health
online monitoring
early warning system
evaluation model
underground coal mine
air quality
