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The Gray Forecast of Mine Safety Production Status Relating Indexes

机译:矿井安全生产现状的灰色预测索引

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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:矿山安全生产现状综合指数 - 死亡率百万吨与系统的其他指标有关,如机械化程度的准备和获胜工作,安全技能和措施成本,整个成员效率,这些指标内部有内部关系,这些关系荣耀仍然是明确的,它们是灰色的关系,它们形成灰色系统。在本文中,使用灰色关联分析理论,设置预测模型GM(1.n),使用更长的kutar方法通过计算机解决数值,用于通过计算机解决此系统状态矩阵公式,使用数据处理方法找出与之间的关系分散的数据和时间列表。系统预测动态过程的发展趋势(与过去几年的统计数据相关),矿井安全生产地位 - 死亡率的综合指数百万吨及其与其相关的指标机械化准备和获胜工作,安全技能和措施成本等。预测结果表明,它接近实际情况,预测精度是相当理想的。使用灰色预测方法,安全状况相关指数将为矿山安全管理和安全决策提供科学基础。

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