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三明本地煤含硫量测定与大气SO_2污染的防治对策 被引量:2
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作者 张严 《三明学院学报》 2003年第4期86-89,共4页
对三明市本地产工业用煤的含硫量测定实验研究表明:三明市本地产工业用煤中含硫量大于1%,达到国家严格控制管理使用的含量。分析讨论了三明市作为"两控区"应进行的本地产工业用煤使用规划和管理,以及相关的预防和消除污染措施... 对三明市本地产工业用煤的含硫量测定实验研究表明:三明市本地产工业用煤中含硫量大于1%,达到国家严格控制管理使用的含量。分析讨论了三明市作为"两控区"应进行的本地产工业用煤使用规划和管理,以及相关的预防和消除污染措施,提出合理控制二氧化硫对大气污染的建议。 展开更多
关键词 三明 本地煤 含硫量 SO2污染 防治对策
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基于地方煤资源改变炼焦配煤实践
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作者 陈晖 《现代冶金》 CAS 2011年第6期55-56,共2页
介绍了江苏苏润高碳材股份有限公司山东合资公司原有炼焦配煤的成分及比例。结合山东主要煤资源,改变了原有炼焦配煤比,并进行了试验分析。
关键词 本地煤资源 炼焦
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Infrastructure-based localisation of automated coal mining equipment 被引量:31
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作者 Chad O. Hargrave Craig A. James Jonathon C. Ralston 《International Journal of Coal Science & Technology》 EI 2017年第3期252-261,共10页
A novel radar-based system for longwall coal mine machine localisation is described. The system, based on a radar-ranging sensor and designed to localise mining equipment with respect to the mine tunnel gate road infr... A novel radar-based system for longwall coal mine machine localisation is described. The system, based on a radar-ranging sensor and designed to localise mining equipment with respect to the mine tunnel gate road infrastructure, is developed and trialled in an underground coal mine. The challenges of reliable sensing in the mine environment are considered, and the use of a radar sensor for localisation is justified. The difficulties of achieving reliable positioning using only the radar sensor are examined. Several probabilistic data processing techniques are explored in order to estimate two key localisation parameters from a single radar signal, namely along-track position and across-track position, with respect to the gate road structures. For the case of across-track position, a conventional Kalman filter approach is sufficient to achieve a reliable estimate. However for along-track position estimation, specific infrastructure elements on the gate road rib-wall must be identified by a tracking algorithm. Due to complexities associated with this data processing problem, a novel visual analytics approach was explored in a 3D interactive display to facilitate identification of significant features for use in a classifier algorithm. Based on the classifier output, identified elements are used as location waypoints to provide a robust and accurate mining equipment localisation estimate. 展开更多
关键词 Localisation · Waypoint navigation · Machine learning · Radar ·Underground · Longwall mining· Automation
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