基于Hurst指数的煤矿突水灾害应急响应信息共享问题研究

发布时间：2017-12-28 14:35

本文关键词：基于Hurst指数的煤矿突水灾害应急响应信息共享问题研究　出处：《郑州大学》2017年硕士论文　论文类型：学位论文

【摘要】：目前,我国中小型煤矿占煤矿总数的70%,煤矿突水灾害仍时有发生。灾害救援前后存在大量信息传递和信息共享问题,有效地处理信息传递偏差和建立信息共享问题亟待解决。决策失效率是信息传递信息偏差高低的衡量指标。为研究信息传递偏差的作用机理,本文主要对过程响应熵进行研究、建立了信息传递偏差模型、采用Hurst指数来衡量信息传递偏差趋势度、分析了应急响应过程和应用研究五部分。(1)对过程响应熵研究。通过对信息熵进行标准化变换和修正,提出过程响应熵概念,用其来评价信息传递过程响应效果。(2)采用Hurst指数衡量信息传递偏差的趋势度。给出Hurst指数定义和基本计算方法,通过对其特性分析提出一种新型的Hurst指数解决方案,该方案对信息传递偏差进行趋势度分析起到不错的效果。(3)建立信息传递偏差模型。首先对信息传递过程进行影响因素分析,找出关键问题,建立具有监控分析和信息调整的信息传递偏差模型。其次,通过对单位级、部门级、系统级三个信息对象层级进行详细分析,给出各层级的公式推导。最后,针对不同层级的分析,建立集成分析模型,该模型通过对各层级之间参数进行变动分析,给出决策失效率的量性变化。(4)建立应急响应过程模型。在信息共享问题集成模型的基础上,进行可靠性驱动的应急响应技术模型研究,实现了对应急响应危机的识别、处理和有效性验证,最终给出了面向应急响应过程的信息共享问题的架构、子系统构建过程和最终集成的母模型。(5)应用研究。以平顶山A煤矿为数据分析原型,首先分析了其突水诱因,其次把面向煤矿突发水灾害应急响应的信息共享问题模型引入到该企业中,进行终端数据汇总,然后对其应急响应的信息共享问题进行评价,最后验证模型和理论的准确性和有效性。将应用研究过程中得到的分析结果和建议反馈给A煤矿企业,A煤矿企业接受并进行现场验证,表现出较好的实际改进效果。
[Abstract]:At present, the small and medium coal mines in China account for 70% of the total number of coal mines, and the water inrush disasters in coal mines still occur. There are many problems of information transfer and information sharing before and after disaster relief. It is urgent to deal with the problem of information transmission deviation and information sharing. The rate of decision failure is a measure of the deviation of information transmission information. In order to study the mechanism of information transmission bias, this paper mainly studies the process response entropy, establishes the information transmission deviation model, uses the Hurst index to measure the trend of information transmission deviation, and analyzes the five parts of emergency response process and application research. (1) study on the process response entropy. Through the standardized transformation and correction of information entropy, the concept of process response entropy is proposed to evaluate the response effect of the information transfer process. (2) the Hurst index is used to measure the trend of information transmission deviation. The definition and basic calculation method of Hurst index are given. A new Hurst index solution is put forward by analyzing its characteristics. This scheme has good effect on trend analysis of information transmission deviation. (3) to establish a deviation model of information transmission. First of all, we analyze the influencing factors of the process of information transmission, find out the key problems, and establish a deviation model of information transmission with monitoring and analysis and information adjustment. Secondly, through the detailed analysis of three levels of information objects at unit level, department level and system level, the formula derivation of each level is given. Finally, according to the analysis of different levels, we establish an integrated analysis model, which gives the quantitative change of decision failure rate by analyzing the parameters between different levels. (4) establish an emergency response process model. On the basis of the information sharing problem of the integrated model, research on emergency response technology of reliability model driven, realizes the identification, processing and validation of the emergency response to the crisis, finally gives the construction subsystem for emergency response information sharing process structure, process and the final integration of the parent model. (5) applied research. A in Pingdingshan coal mine as the prototype data analysis, firstly analyzes the water inrush causes, then the problem model is introduced into the enterprise for coal mine water disaster emergency response information sharing, data collection terminal, then the emergency response to the information sharing problem of evaluation, finally verify the accuracy and effectiveness of the model and theory. The results and recommendations obtained in the process of application research are fed back to A coal mine enterprises. A coal mine enterprises accept and carry out on-site verification, showing better practical improvement effect.
【学位授予单位】：郑州大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TD745

【相似文献】