基于核校准和SVM的煤矿安全组织管理因素分析

组织管理因素与煤矿安全生产密切相关。该文从人的管理、组织机构管理、企业环境管理、现场及技术管理四个方面详细分析了煤矿组织管理中的主要影响因素,提出一种基于核校准和支持向量机（SVM）的组织管理安全评价等级预测方法,构建了影响因素形成的输入空间到评价等级空间的非线性映射,并详尽分析了组织管理的安全评价等级与各影响因素的关联关系。在此基础上,本文深入研究煤矿安全中各组织管理因素的作用规律,并探讨了相应的预防措施与控制方法。实例分析结果表明,该方法能够合理地反映煤矿企业的组织管理安全评价状况,有助于煤矿企业采取相应措施预防或减少安全事故的发生,同时,也为企业提高本质安全管理水平提供了参考,有较强的实用性。

Analysis of organizational administrative factors in coal mine safety based on kernel alignment and SVM

Organizational administrative factors are closely related to the safety in production of coal mine.From the perspectives of human management,organization institution management,enterprise environment management,scenes and technique management,this paper analyses the main influencing factors of organization and management of coal mine in detail.Then,based on kernel alignment and Support Vector Machines（SVM）,a method for predicting the safety evaluation level of organization and management was presented.At the same time,the nonlinear mapping from the input space formed by the influencing factors to evaluation level space was constructed,and the relationships between safety evaluation level of organization management and the influencing factors were also analyzed.On these bases,a deep study was conducted on the functionary mechanism of organization management factors of coal mine,and then the corresponding preventive strategies and manipulative measures were discussed.Experiment results showed that this algorithm could not only reflects the evaluative situation of mine coal safety management more reasonably,but also helps the coal mining enterprises taking corresponding measures to prevent or lessen safety accidents,as well as provides references for raising the level of inherent safety management.So,this approach is more practical.