This paper mainly deals with the present situation, characteristics, and countermeasures of cooling in deep mines.Given existing problems in coal mines, a HEMS cooling technology is proposed and has been successfully ...This paper mainly deals with the present situation, characteristics, and countermeasures of cooling in deep mines.Given existing problems in coal mines, a HEMS cooling technology is proposed and has been successfully applied in some mines.Because of long-term exploitation, shallow buried coal seams have become exhausted and most coal mines have had to exploit deep buried coal seams.With the increase in mining depth, the temperature of the surrounding rock also increases, resulting in ever increasing risks of heat hazard during mining operations.At present, coal mines in China can be divided into three groups, i.e., normal temperature mines, middle-to-high temperature mines and high temperature mines, based on our investigation into high temperature coal mines in four provinces and on in-situ studies of several typical mines.The principle of HEMS is to extract cold energy from mine water inrush.Based on the characteristics of strata temperature field and on differences in the amounts of mine water inrush in the Xuzhou mining area, we proposed three models for controlling heat hazard in deep mines:1) the Jiahe model with a moderate source of cold energy;2) the Sanhejian model with a shortage of source of cold energy and a geothermal anomaly and 3) the Zhangshuanglou model with plenty of source of cold energy.The cooling process of HEMS applied in deep coal mine are as follows:1) extract cold energy from mine water inrush to cool working faces;2) use the heat extracted by HEMS to supply heat to buildings and bath water to replace the use of a boiler, a useful energy saving and environmental protection measure.HEMS has been applied in the Jiahe and Sanhejian coal mines in Xuzhou, which enabled the temperature and humidity at the working faces to be well controlled.展开更多
基于隐患排查信息的知识挖掘对于工程安全管理具有重要的支持作用。自然语言处理(natural language processing,NLP)技术是目前实现文本知识挖掘的重要方法,知识挖掘的深度和精度是该类方法的重要衡量指标。为了提升水电工程安全隐患文...基于隐患排查信息的知识挖掘对于工程安全管理具有重要的支持作用。自然语言处理(natural language processing,NLP)技术是目前实现文本知识挖掘的重要方法,知识挖掘的深度和精度是该类方法的重要衡量指标。为了提升水电工程安全隐患文本知识挖掘效率,本文提出了一种结合文本分类与文本挖掘技术的隐患文本知识挖掘方法。该方法利用RoBERTa-wwm-CNN混合深度学习模型进行隐患文本快速智能分类,在此基础上,通过绘制隐患词云图实现不同种类隐患管理要点的可视化分析,以词共现网络构建为基础,分析隐患数据间的内在联系。将该方法应用于白鹤滩水电站安全隐患文本挖掘分析,与现有较先进的文本分类模型相比,本文所提模型精度有所提升,验证了所提模型的优越性。展开更多
基金Project 2006CB202200 supported by the National Basic Research Program of Chinathe National Major Project of Ministry of Education (304005)the Program for Changjiang Scholars and Innovative Research Team in University of China (NoIRT0656)
文摘This paper mainly deals with the present situation, characteristics, and countermeasures of cooling in deep mines.Given existing problems in coal mines, a HEMS cooling technology is proposed and has been successfully applied in some mines.Because of long-term exploitation, shallow buried coal seams have become exhausted and most coal mines have had to exploit deep buried coal seams.With the increase in mining depth, the temperature of the surrounding rock also increases, resulting in ever increasing risks of heat hazard during mining operations.At present, coal mines in China can be divided into three groups, i.e., normal temperature mines, middle-to-high temperature mines and high temperature mines, based on our investigation into high temperature coal mines in four provinces and on in-situ studies of several typical mines.The principle of HEMS is to extract cold energy from mine water inrush.Based on the characteristics of strata temperature field and on differences in the amounts of mine water inrush in the Xuzhou mining area, we proposed three models for controlling heat hazard in deep mines:1) the Jiahe model with a moderate source of cold energy;2) the Sanhejian model with a shortage of source of cold energy and a geothermal anomaly and 3) the Zhangshuanglou model with plenty of source of cold energy.The cooling process of HEMS applied in deep coal mine are as follows:1) extract cold energy from mine water inrush to cool working faces;2) use the heat extracted by HEMS to supply heat to buildings and bath water to replace the use of a boiler, a useful energy saving and environmental protection measure.HEMS has been applied in the Jiahe and Sanhejian coal mines in Xuzhou, which enabled the temperature and humidity at the working faces to be well controlled.
文摘基于隐患排查信息的知识挖掘对于工程安全管理具有重要的支持作用。自然语言处理(natural language processing,NLP)技术是目前实现文本知识挖掘的重要方法,知识挖掘的深度和精度是该类方法的重要衡量指标。为了提升水电工程安全隐患文本知识挖掘效率,本文提出了一种结合文本分类与文本挖掘技术的隐患文本知识挖掘方法。该方法利用RoBERTa-wwm-CNN混合深度学习模型进行隐患文本快速智能分类,在此基础上,通过绘制隐患词云图实现不同种类隐患管理要点的可视化分析,以词共现网络构建为基础,分析隐患数据间的内在联系。将该方法应用于白鹤滩水电站安全隐患文本挖掘分析,与现有较先进的文本分类模型相比,本文所提模型精度有所提升,验证了所提模型的优越性。
