基于信息熵-模糊神经网络的煤矿安全评价研究

    Research on the Safety Evaluation of Coal Mine Based on Information Entropy and Fuzzy Neural Network

    • 摘要: 煤炭是我国国民经济发展的重要基础。煤矿安全生产不仅是我国煤矿企业实现健康、可持续发展的必要条件,更是我国实现社会和谐发展、保障国家能源安全的前提条件。近年来,我国煤炭工业安全状况逐步改善,但与发达国家相比生产形势依然严峻,主要表现为:百万吨死亡率较高、特大事故数及伤亡人数居高不下等。通过结合郑煤集团实例,利用文献研究和信息熵法确定了我国煤矿安全评价指标体系,此外,通过模糊理论和神经网络技术的有机结合,为煤炭工业这种复杂系统的安全现状评价提出了一种新的思路。

       

      Abstract: Coal is an important foundation for economy development in our country. Mine safety production is not only the indispensable factors to realizing the healthy growth and the sustainable development in coal mine enterprise, but also the prerequisites to achieving social harmony and ensuring national energy safety in our country. In recent years, the safety situation of China's coal industry is gradually improving, but the situation is still grim compared with developed countries, mainly as follows: higher mortality of millions of tons in our country and large number of accidents and casualties. Combined with the example of Zhengzhou Coal Industry Group, the accident-causing mechanism of coal mine for our country is finally obtained. Based on this logical framework of accident-causing mechanism, the coal mine safety evaluation indexes system are determined with the use of literature research and information entropy. Then, through the combination of fuzzy theory and neural network models, a new ideas is proposed for the safety evaluation of coal industry of this a complex system.

       

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