基于多传感器的煤矿综采设备碰撞风险警报方法  被引量:2

Collision Risk Warning Method for Fully Mechanized Mining Equipment in Coal Mine Based on Multi-sensor

在线阅读下载全文

作  者:卢志琦 Lu Zhiqi(Shanxi Tiandi Coal Mining Machinery Co.,Ltd.,Taiyuan 030006,China;Taiyuan Research Institute,China Coal Technology and Engineering Group,Taiyuan 030006,China;China National Engineering Laboratory for Coal Mining Machinery,Taiyuan 030006,China)

机构地区:[1]山西天地煤机装备有限公司,太原030006 [2]中国煤炭科工集团太原研究院有限公司,太原030006 [3]煤矿采掘机械装备国家工程实验室,太原030006

出  处:《煤矿机械》2023年第1期160-162,共3页Coal Mine Machinery

基  金:山西天地煤机装备有限公司科研项目(M2022-M509)。

摘  要:煤矿综采地质环境较复杂,对综采设备性能的要求较高,受各项因素的影响,煤矿综采设备在运行中存在一定的碰撞风险。为了解决这一问题,引入多传感器技术,提出了一种新的煤矿用综采设备碰撞风险警报方法。通过建立综采设备位姿测量模型来获取设备运行规律与位姿变化情况;部署传感器来获取综采设备位姿数据,计算综采设备位姿变化参数,预测当前时刻设备的整体使用情况及潜在的风险隐患;预测碰撞风险,构建警报指标,发出警报。通过试验分析可知,该警报方法的准确率在96.16%以上,可行性较高。The geological environment of fully mechanized mining in coal mines is complex, and the requirements for the performance of fully mechanized mining equipment are relatively high. Under the influence of various factors, there are certain collision risks in the operation of fully mechanized mining equipment in coal mines. In order to solve this problem, a new collision risk warning method for fully mechanized mining equipment for coal mines was proposed by introducing multi-sensor technology. By establishing the pose measurement model of the fully mechanized mining equipment, the operation rules and pose changes of the fully mechanized mining equipment are obtained;sensors are deployed to obtain the pose data of the fully mechanized mining equipment, and the pose change parameters of the fully mechanized mining equipment are calculated to predict the overall usage and potential risk hidden dangers of the fully mechanized mining equipment at the current moment;predicts collision risk, builds alert indicators and issues alerts. Through the experimental analysis, this alarm method accuracy is above96.16%, which is highly feasible.

关 键 词:多传感器 煤矿 综采设备 碰撞 风险 警报 

分 类 号:TD67[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