安全生产大数据的5W2H采集法及其模式研究

为从安全生产大数据中挖掘安全规律并最终提炼安全生产基础原理，首先在对安全生产大数据的定义及其内涵进一步阐释基础上,提出安全生产大数据采集的定义，并将其分解为3个过程；然后提出安全生产大数据的5W2H采集法，并对其内涵(采集原因，使用主体、采集者及采集对象，采集数据类型，采集边界，采集时间，采集数据量及其采集方法）进行详细分析；最后以思维路径为主、过程路径和技术路径为辅，建立安全生产大数据采集的一般模式。结果表明，安全生产大数据采集模式的研究可为安全生产大数据的存储、处理及其应用提供基础。

Research on 5W2H acquisition method and mode of big data for work safety

To excavate the safety rules from big data of work safety and eventually refine the fundamental principles of work safety, firstly, the definition of big data acquisition for work safety was proposed based on the further explanation about the definition and connotation of big data for work safety, and it was decomposed into three processes. Then the 5W2H acquisition method of big data for work safety was proposed, and its contents which include acquisition reasons, users, acquirer and acquisition objects, acquisition data types, acquisition boundary, acquisition time, amount of acquisition data and acquisition methods were analyzed in detail. Finally, taking the thinking path as primary and the process path and technology path as secondary, a general mode of big data acquisition for work safety was established. The results showed that the acquisition mode of big data for work safety can provide the basis for the storage, processing and application of big data for work safety.