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信息化时代的到来,为各行业领域注入新鲜的活力。以车间生产为例,逐渐由以往的数字化、自动化过渡至智能化。但需注意的是,智能车间发展下也面临大数据问题,这些数据在一定程度上使车间的运行性能与运行过程受到影响,要求借助数据实现车间运行分析与决策。本次研究中对大数据驱动智能车间运行与分析模式阐述,并剖析具体的方法论体系与技术体系。
The arrival of the information age, for all sectors into a fresh vitality. Take the workshop production as an example, gradually transition from the previous digitization and automation to intelligence. However, it should be noted that there are also big data problems in the development of smart workshops. These data, to a certain extent, affect the running performance and operation of the shop floor, and require the data to be used in plant operation analysis and decision-making. In this study, we elaborate on the operation and analysis mode of big data-driven intelligent workshop and analyze the specific methodology and technical system.