摘要
提出了一种改进式的空间聚类算法,研究针对瓦斯灾难信息特征提取的具体方法,将DBSCAN聚类算法应用在煤矿瓦斯监测系统中,通过数据的集成和选取、确定目标、结果表述、评价等多个步骤来实现该算法,发挥仿真和结果的作用,实现对煤矿生产现场情况的监测和指挥,进一步降低发生煤矿瓦斯灾难的概率。
An improved spatial clustering algorithm is presented, research on extraction of gas disaster information feature extraction method, the DBSCAN algorithm applied in coal mine safety monitoring system, the data integration and selection, determine the objectives, results in multiple step representation, evaluation steps to achieve the algorithm, play the simulation and results effect of implementation, monitoring and command of the coal mine production site, further reducing the probability of occurrence of coal mine gas disaster.
出处
《煤炭技术》
CAS
北大核心
2014年第2期84-86,共3页
Coal Technology
