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The Gray Forecast of Mine Safety Production Status Relating Indexes

机译:矿山安全生产状况相关指标的灰色预测

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Mine safety production status integrated index-death rate per million ton is related to system's other indexes such as mechanized degree of preparation and winning work, safety skill and measure cost, the whole member efficiency, there are internal relations within these indexes, these relations aren't still definite, they are gray relations, they form a gray system. In this paper, using gray relating analysis theory, to set up forecasting model GM (1.n), using Longer-Kutar method to solve numerical value by computer for this system status matrix formula, using data disposal method to find out the relation between dispersed data and time list. Systematic forecast the developing trendsof dynamic process (relating statistical data of past years) that the integrated index of mine safety production status-death rate per million ton and its relating indexes-mechanized degree of preparation and winning work, safety skill and measure cost etc. The forecasting result shows that it is close to the actual situation, forecasting precision is rather ideal. Using gray forecasting method of safety status relating indexes will provide the science basis for mine safety management and safety decision-making.
机译:矿山安全生产状况综合每百万吨死亡指数与系统的其他指标,如准备和获胜工作的机械化程度,安全技能和度量成本,整体成员效率,这些指标之间存在内部关系,这些关系是仍然不确定,它们是灰色关系,它们形成了灰色系统。本文采用灰色关联分析理论,建立了预测模型GM(1.n),利用Longer-Kutar方法对该系统状态矩阵公式进行了计算机求解,并利用数据处理方法找出了两者之间的关系。分散的数据和时间表。系统预测了矿山安全生产状况综合指数-每百万吨死亡率及其相关指标-准备和胜负机械化程度,安全技能和计量成本等动态过程的发展趋势(与近年统计数据有关)。预测结果表明,与实际情况相近,预测精度较为理想。使用安全状态相关指标的灰色预测方法,可为矿山安全管理和安全决策提供科学依据。

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