Speaker Confirmation：Industrial Big Data Optimized the Worry-free Intelligent Manufacturing
演讲嘉宾确认：工业大数据推进无忧虑智能制造
Recently, Premier of the State Council of the People's Republic of China, Li Keqiang has indicated that enterprises should accelerate the development of big data, cloud computing and Internet of Things to push the revolution in the all process of manufacturing on the National People's Congress. One of the most important step to fully realize the Intelligent manufacturing is to find those invisible issues during the industry manufacturing.
Visible issues are often caused by these invisible factors accumulated to a certain extent, such as the deprecation on the equipment, which eventually cause the machine to be shut down, the quality deviation caused by a mistake on the accuracy and etc.. By leveraging the big data analysis and testing on those invisible parts, it enables the manufacturing enterprises avoid 99% of the visible problem during the process of daily manufacturing. It is the fundamental of Worry-Free manufacturing under the theory of Industry 4.0and the essence of intelligent manufacturing The purpose of industrial big data is not to pursue the huge amount of data, but to realize the maximization of value by means of systematic data collection and analysis. As one of the active player in the equipment design and measuring filed, Wuxi Measure Machine Manufacture Co. Ltd. owns several independent core technologies and has become the digital factories solution provider for most traditional manufacturing enterprises.
We would like to share our best thanks to our sponsor, Wuxi Measure Machine Manufacture Co. Ltd., for its strong supporting to our Digital Automotive Congress 2018 (Jun.5th – 6th | Shanghai, China).We are excited to announce that Mr. Wenyu Jiang, CEO of Wuxi Measure Machine Manufacture Co. Ltd. has confirmed his participation as a keynote speaker. He will be presenting in the Digital Automotive Congress 2018 with her session related to “From Big Data to Worry-Free Manufacturing.”
近日，李克强总理在全国两会上做2017年政府工作报告时提出，要深入实施《中国制造2025》，加快大数据、云计算、物联网应用，推动传统产业生产、管理和营销模式变革。作为智能制造的重要步骤，首先要看见那些工业制造中“看不见的问题”。
可见的问题往往是这些不可见因素积累到一定程度所引起的，比如设备的衰退最终导致停机、精度的缺失最终导致质量偏差等。通过大数据对“不可见”问题获得深刻的分析和检测，在“看得见“的问题发生前去避免，是实现无忧虑制造环境的基础，也是智能制造的本质。
工业大数据的目的并不是追求数据量的庞大，而是通过系统式地数据收集和分析手段，实现价值的最大化。无锡市迈日机器制造有限公司作为一家在大数据设备检测领域活跃的玩家之一，拥有多项自主核心技术。经过数年的攻关试验, 公司已实现从提供定制化自动检测设备，到信息化软/硬件总集成、质量云平台搭建的服务，成为传统制造业以品质为核心的数字化工厂整体方案提供商
我们在此特别鸣谢本届赞助商无锡市迈日机器制造有限公司，对本届2018汽车产业数字化峰会（6月5-6日 | 中国上海）的大力支持，并很荣幸邀请到无锡市迈日机器制造有限公司CEO，蒋文郁先生作为讲嘉宾出席。他将结合多年的行业经验，为我们带来“ 从大数据到无忧虑制造”的相关主题分享。
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