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基于井下轨迹数据的煤矿人员违规行为识别 被引量:2

Recognition of illegal behavior of coal mine personnel based on underground trajectory data
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摘要 当前有关井下人员轨迹数据的研究,缺乏针对煤矿领导带班下井的违规识别以及作业人员超时作业的违规识别。基于井下人员定位系数据,提出了判断煤矿领导是否带班下井及作业人员是否超时作业的识别方法,着重于识别煤矿领导是否带班下井、是否与上一班带班领导在井下交接班、是否存在安排他人代替下井(代打卡情况)、作业人员是否超时作业等4种场景。该方法的识别结果以图表方式直观地反应了煤矿领导带班下井情况,帮助煤矿发现隐患,促进煤矿提升管理水平,辅助煤矿安全生产。 The current research on underground personnel trajectory data lacks the identification of violations for coal mine leaders to go down the shaft with shifts and the identification of violations for overtime operations by operators.Based on the data of the underground personnel positioning system,an identification method for judging whether coal mine leaders go down the shaft in accordance with relevant laws and regulations and whether the operators work overtime was given.It focused on identifying whether the mine leader takes the shift to go down the shaft and whether the previous shift leader was handed over in the underground,whether there were the above four scenarios of arranging others to go down the mine(in the case of punching in on behalf of the card),and whether the operator is working overtime.The identification results of this method can intuitively reflect the situation of coal mine leaders taking the class to go down in the form of graphs,which can help supervisory units monitor in real time,help coal mines find hidden dangers,promote coal mines to improve their management level,and clarify the division of powers and responsibilities,thereby assisting coal mines in safe production.
作者 刘斌 侯宇辉 王延辉 Liu Bin;Hou Yuhui;Wang Yanhui(Shenmu City Energy Administration,ShenMu 719300,China;Elite Digital Intelligence Technology Corporation Ltd.,Taiyuan 030000,China)
出处 《煤炭与化工》 CAS 2021年第10期82-85,共4页 Coal and Chemical Industry
关键词 轨迹数据 违规识别 煤矿管理 安全生产 trajectory data mine leader trajectory mine management safety production
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