期刊文献+

大数据模式在起重机械行业中的安全管理

Big Data Model is Analysed in the Safety Management of Hoisting Machinery industry
下载PDF
导出
摘要 起重机械承担着大型设备的吊装任务,其安全装置综合保护性能的优劣直接影响到作业人员的生命安全和经济效益。随着信息的变革,大数据的信息管理已成为越来越便捷的方式,应用数据化的参考已应用于越来越多的场合,同时因为经济社会的高速发展,生产存储芯片流水线装置越来越完善,生产成本也越来越低,让大数据信息的集合在存储芯片中从而为生产服务已成为大多数行业的可能,在起重机械行业中也类似于像航空航天一样加入黑匣子的存储数据信息的盒子,可以更好地促进起重机械安全管理的升级和发展。 Hoisting machinery to undertake the task of large equipment hoisting and its safety device integrated protection performance fit and unfit quality directly affects the operation personnel life safety and economic benefits.With the swiftness of information change,big data information management has been for us to improve the efficiency of the more and more fast and more and more convenient way,abandoned the traditional paper traditional management model,the application of digital reference has been applied in more and more occasions,because of the rapid development of economy and society,and at the same time production of memory chips production line equipment is more and more perfect,the cost of production is becoming more and more low,let the large collection of data in the memory chip to service has become the most industry production,the hoisting machinery industry,like aerospace,similar to join in the black box store data information of the box,can better promote the upgrade and development of the safety management of hoisting machinery.
作者 陈陇 宋彬 Chen Long;Song Bin
出处 《今日自动化》 2020年第6期116-118,共3页 Automation Today
基金 国家自然科学基金地区科学基金项目(51667014)。
关键词 大数据 安全管理 存储芯片 系统 Big data Safety management Memory chips System
  • 相关文献

参考文献8

二级参考文献14

共引文献24

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部