大数据环境下煤矿安全产品协同开发质量管控方法探索  

Exploration of coal mine safety products' collaborative development method with big data

作　　者：苟怡[1,2] 孙中光[1,2] 

机构地区：[1]中煤科工集团重庆研究院有限公司,重庆400039 [2]瓦斯灾害监控与应急技术国家重点实验室,重庆400037

出　　处：《中州煤炭》2016年第10期23-26,共4页Zhongzhou Coal

基　　金：工信部国家物联网发展专项资金项目(2014083105)

摘　　要：煤矿安全产品是煤矿安全生产的有效保证,随着煤矿生产过程中对安全性的要求越来越高,如何研发更加先进可靠的煤矿安全产品成为了各大煤矿企业必须解决的问题,然而煤矿企业只是从事煤矿开采相关工作,其所需的安全产品研发必须依托与外部相关企业的协同来完成。因此,在煤矿安全产品协同开发过程中,如何对其质量进行管控,保证所开发的安全产品具有高质量高可靠性成为了煤矿安全产品协同开发过程中的关键。基于此,从大数据角度探讨和分析了目前先进的大数据技术在煤矿安全产品协同开发中的质量管控中的应用,对促进大数据在煤矿安全产品协同开发中的应用,提高煤矿安全产品协同开发的质量的可靠性和稳定性具有非常重要的意义。Coal mine safety products are effective guarantee of coal mine safety production. With increasing demand for the safety of coal production process,how to develop more advanced and reliable products for coal mine safety has become a problem that should be solved by every coal mine enterprise. However coal enterprises are only engaged in coal mining-related work,the development of their security products must be in cooperation with external companies. Therefore,how to control the quality of coal mine products ensuring each of them with high quality and high reliability is the important issue in the process of collaborative development of coal mine safety products. Based on this,from the perspective of big data,the paper discussed and analyzed the application of current advanced big data technologies in the process of the collaborative development of coal mine safety products. It is of great significance to facilitate the application of big data technologies in this aspect,improve the quality,reliability,and stability of coal mine safety products in collaborative development.

关 键 词：大数据 煤矿安全产品 协同开发 质量管控 

分 类 号：F270[经济管理—企业管理]