基于自诊断LED显示屏的煤矿应急导引与信息发布系统  

Coal mine emergency guidance and information release system based on self-diagnostic LED display screen

在线阅读下载全文

作  者:刘孝军 王飞 蔡东 张世明 LIU Xiaojun;WANG Fei;CAI Dong;ZHANG Shiming(Daliuta Coal Mine,CHN Energy Group Shendong Coal Group Co.,Ltd.,Shenmu 719315,China;China Coal Technology and Engineering Group Information Technology Co.,Ltd.,Xi’an 710001,China)

机构地区:[1]国家能源集团神东煤炭集团公司大柳塔煤矿,陕西神木719315 [2]中煤科工集团信息技术有限公司,陕西西安710001

出  处:《煤矿安全》2025年第2期242-248,共7页Safety in Coal Mines

摘  要:基于灰度扫描算法,开发了具有自诊断功能的煤矿井下LED显示终端设备;通过扩展语音播报、无线通信、上位机等设备,形成了一套煤矿应急导引与信息发布系统。介绍了灰度扫描算法原理,详细论述了显示屏硬件设计和显示屏软件设计,以及应急引导与信息发布系统的结构和功能。在大柳塔煤矿进行的现场试验表明:系统解决了井下信息发布设备简单、地面与井下沟通手段有限、工人无法及时了解到周围环境安全状况、遇到灾害时无法按照预案及时发出灾情预警和逃生引导信息、丧失井下逃生的最佳时间等问题,现场应用效果良好。A coal mine underground LED display terminal device with self diagnostic function was developed based on gray scanning algorithm;a set of coal mine emergency guidance and information release system has been formed by expanding voice broadcasting,wireless communication,upper computer and other equipment.The principle of gray scanning algorithm is introduced,and the hardware design and software design of the display screen are discussed in detail,as well as the structure and functions of the emergency guidance and information release system.The on-site test conducted in Daliuta Coal Mine showed that the system has solved the problems of simple underground information release equipment,limited communication means between the ground and underground,inability of workers to timely understand the safety conditions of the surrounding environment,failure to timely issue disaster warning and escape guidance information according to the plan when they encounter disasters,and loss of the best time for underground escape.The on-site application effect is good.

关 键 词:智能矿山 灾情预警 煤矿应急导引与信息发布系统 灰度扫描算法 LED显示屏 

分 类 号:TD676[矿业工程—矿山机电]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象