本文選題：安全管理工程 + 煤礦隱患�。� 參考：《安全與環(huán)境學(xué)報(bào)》2017年04期

【摘要】：為充分有效利用煤礦安全隱患數(shù)據(jù),揭示安全隱患數(shù)據(jù)中隱藏的重要信息和潛在規(guī)律,用于指導(dǎo)安全管理實(shí)踐,在對安全隱患數(shù)據(jù)進(jìn)行預(yù)處理的基礎(chǔ)上,利用詞云和詞頻統(tǒng)計(jì)方法展現(xiàn)安全隱患概況,運(yùn)用文本挖掘技術(shù)和社會(huì)網(wǎng)絡(luò)分析方法研究煤礦安全隱患信息的關(guān)聯(lián)關(guān)系和分布規(guī)律。結(jié)果表明,將文本挖掘技術(shù)和社會(huì)網(wǎng)絡(luò)分析方法應(yīng)用于文本型安全隱患數(shù)據(jù)分析具有可行性,有助于煤礦企業(yè)提高對安全隱患數(shù)據(jù)的認(rèn)知并制定合理的安全隱患治理措施。
[Abstract]:In order to make full and effective use of coal mine hidden danger data and reveal the important information and potential law hidden in the hidden safety hazard data, it can be used to guide the practice of safety management, and on the basis of preprocessing the safety hidden danger data. Using word cloud and word frequency statistics method to show the general situation of safety hidden trouble, text mining technology and social network analysis method to study the coal mine safety hidden trouble information correlation relationship and distribution law. The results show that it is feasible to apply text mining technology and social network analysis method to the analysis of text safety hidden trouble data, which is helpful for coal mining enterprises to improve their cognition of safety hidden danger data and to formulate reasonable measures to deal with safety hidden trouble.
【作者單位】： 中國礦業(yè)大學(xué)(北京)管理學(xué)院煤炭資源與安全開采國家重點(diǎn)實(shí)驗(yàn)室;
【基金】：國家自然科學(xué)基金項(xiàng)目(61471362)
【分類號(hào)】：TD771
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本文編號(hào)：2040776