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作 者:王凯 李燕勇 徐旭东[1] 高舒珊 康宇洁[1] Wang Kai;Li Yanyong;Xu Xudong;Gao Shushan;Kang Yujie(Aerospace Research Institute of Materials&Processing technology,Beijing 100076)
出 处:《现代工业经济和信息化》2020年第7期78-80,共3页Modern Industrial Economy and Informationization
摘 要:通过对安全检查数据进行定量化分析,研究、归纳隐患问题的内在属性,结合企业安全管理现状和要求设置安全预警值,从而对安全隐患事故进行预警。该研究探索对企业当前及未来的安全生产形势和趋势实现定量化预测,更为快捷和准确地发现安全隐患,从而能够及时采取相关措施进行纠正,降低事故发生的概率,为企业排查和治理重点隐患提供丰富的数据支撑,并对企业安全生产的动态评估与决策提供支持。Based on the quantitative analysis of safety inspection data, this paper studies and sums up the internal attributes of hidden danger problems, and combines the current situation and requirements of enterprise safety management to set up safety early warning values, so as to give early warning to hidden danger accidents. This research explores the quantitative prediction of the current and future situation and trend of safety production in order to quickly and accurately discover the potential safety hazards, so that relevant measures can be taken in time to correct, reduce the probability of accidents, providing rich data support for the enterprise’s troubleshooting and governance of key hidden dangers, and support for the dynamic assessment and decision-making of the enterprise’s safety production.
分 类 号:TP311.13[自动化与计算机技术—计算机软件与理论]
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