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基于Python的矿山企业安全大数据管理系统的探索与应用

刘伟 张文

铀矿冶2025,Vol.44Issue(2):126-132,7.
铀矿冶2025,Vol.44Issue(2):126-132,7.DOI:10.13426/j.cnki.yky.2024.10.03

基于Python的矿山企业安全大数据管理系统的探索与应用

Exploration and Application of Safety Big Data Management System Based on Python in a Mining Enterprise

刘伟 1张文1

作者信息

  • 1. 中核沽源铀业有限责任公司,河北 张家口 076561
  • 折叠

摘要

Abstract

In order to promote the informationization construction of mining enterprises and enhance the safety informationization management capabilities,we explore the application of Python program-ming language and PyCharm editor to establish a basic database and big data analysis model for safety inspections in a certain mining enterprise.We construct a multi-dimensional analysis and evaluation system for historical safety inspection issues,new safety inspection issues,and other data,including time,space,problem categories,and causes.We explore the laws and development trends of intrinsic safety and safety inspection problems,and take targeted solutions accurately.The establishment of databases and analysis model can also be used for comprehensive evaluation of security inspection is-sues,visually displaying important information such as the time,place,category,and cause of the problem,providing objective data support for timely detection of repetitive problems and hidden dan-ger investigation,avoiding the long-term existence of security problems that cannot be eradicated,and effectively reducing security risks.At present,the security big data model is mainly applied in securi-ty inspection work,and there is still room for exploration in the fields of security management system construction,"dual control"system operation,security education and training,accident prediction and warning in the future.

关键词

矿山企业/安全管理/大数据/模型构建/Python/分析模型

Key words

mining enterprises/safety management/big data/model construction/Python/analysis model

分类

能源科技

引用本文复制引用

刘伟,张文..基于Python的矿山企业安全大数据管理系统的探索与应用[J].铀矿冶,2025,44(2):126-132,7.

铀矿冶

1000-8063

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