2018年6月5日，全球能效管理和自动化领域数字化转型的领导者施耐德电气隆重亮相中国(武汉)国际自动化与机器人展览会，展示了数字化和智能制造解决方案。通过此次参展，施耐德电气希望依托自身的技术及理念优势，加速赋能中西部工业企业在智能制造领域的发展和实践，助其真正实现运营能力的提升和自身的持续优化，以迎接数字化转型的机遇。
On June 5, 2018, the worldwide leader in the digital management of energy efficiency and automation transformation appear schneider electric China (wuhan) international exhibition on automation and robotics, shows the digital and intelligent manufacturing solutions. Through this exhibition,
施耐德电气携透明工厂解决方案应答制造业痛点
工业数字化转型的趋势如火如荼，广大中西部地区的制造企业也亟需抓住这一良机，发展适合自身独特需求的智能化升级之路。其中，华中地区既拥有较强的光电子、装备制造、消费品制造等产业基础，也具有不少转型优化需求较为迫切的传统重工业。展会的举办地武汉也是施耐德电气布局中西部市场的中心。
schneider electric will hope to rely on its own technology and idea advantages, accelerate the assignment to the Midwest industrial enterprises in the development and practice in the field of intelligent manufacturing, help them realize their operational skills and their continuous optimization, to meet the digital transition opportunities.
此前，依托在制造业的深厚经验，施耐德电气洞察到：制造业客户需要借助数字化转型应对的首要挑战，正是企业生产管理、运营的不透明问题。数据、业务和决策的不透明好比一个“黑匣子”，导致企业无法对生产制造中存在的问题对症下药，采取实时高效的响应和最佳决策。
Schneider electric answers manufacturing pain points with its transparent factory solutions
The trend of industrial digitization transformation is in full swing, and the manufacturing enterprises in the central and western regions also need to seize this opportunity to develop the intelligent upgrading road suitable for their unique needs. Among them, central China not only has a strong industrial
为解决这一重大挑战，施耐德电气在本次展会上展出了基于EcoStruxure架构的透明工厂解决方案。它以精益运营为核心设计基础，以数字化和自动化技术为辅助，通过覆盖互联互通的产品，边缘控制以及应用、分析与服务层的完整产品和解决方案，助力用户打造“透明+融合”的工厂架构，真正实现工厂端到端的、全生命周期的透明制造，用数字化快速赋能客户，实现全面的运营效率提升。
Previously, relying on the profound experience in manufacturing industry, schneider electric insight into: manufacturing clients need with the aid of digital transformation of the primary challenges, is the enterprise production management and operation of opaque. The opacity of data, business and decision making is like a "black box", which makes it impossible for enterprises to respond to the problems in manufacturing in a timely and efficient manner and make best decisions.
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