为了进一步推动工业互联网(Industrial Internet)的应用实践,提出工业互联网概念的主导者通用电气加强了跟传统IT公司的合作。最近通用电气跟惠普公司建立了战略合作关系,主推工业互联网的解决方案。
Recent Advances and Trends of Smart Big Data Analytics, Cyber-Physical Systems and Industry 4.0 for Industry Transformation
智能工业大数据分析,工业4.0及企业竞争转型
Jay Lee(李杰)
制造业是反映一个国家生产能力、国民经济水平和综合国力的基础性、支柱性产业。Internet 和Web 技术的飞速发展,大大加快了产品的设计、制造和服务速度,速度和服务已成为影响制造企业核心竞争力的二大重要因素。 制造业中的设备一旦发生故障和失效问题,将严重影响企业的市场竞争力。其主要表现在以下几点:
制造企业设备故障的突然发生,不仅会增加企业的维护成本,而且会严重影响企业的生产效率,使企业蒙受巨大损失。据调查,设备的60%的维护费用是由突然的故障停机引起的,即使在技术极为发达的美国,每年也要支付2000 亿美金来对设备进行维护,而设备停机所带来的间接生产损失则更为巨大。
A Cyber-Physical Systems architecture for Industry 4.0-based manufacturing systems
Jay Lee, Behrad Bagheri ⇑, Hung-An Kao
NSF Industry/University Cooperative Research Center on Intelligent Maintenance Systems (IMS), University of Cincinnati, Cincinnati, OH, United States
The high complexity of manufacturing processes and the continuously growing amount of data lead to excessive demands on the users with respect to process monitoring, data analysis and fault detection. For these reasons, problems and faults are often detected too late, maintenance intervals are chosen too short and optimization potential for higher output and increased energy efficiency is not sufficiently used. A possibility to cope with these challenges is the development of self-learning assistance systems, which identify relevant relationships by observation of complex manufacturing processes so that failures, anomalies and need for optimization are automatically detected. The assistance system developed in the present work accomplishes data acquisition, process monitoring and anomaly detection in industrial and agricultural processes. The assistance system is evaluated in three application cases: Large distillation columns, agricultural harvesting processes and large-scale sorting plants. In this paper, the developed infrastructures for data acquisition in these application cases are described as well as the developed algorithms and initial evaluation results.
Factory of the Future
Beyond the Assembly Line
投资银行高盛公司最近发布了“创新系列报告”,其中有一份报告是《未来工厂》(Factory of the Future),该概念虽然跟欧盟提出的FoF(未来工厂)类似,但都是工业4.0时代对车间和工厂的未来项目概念。
Global Manufacturing Outlook
Preparing for battle: Manufacturers get ready transformation:
With disruptive forces of change so pervasive around the world, it would be easy to believe that the manufacturing sector is in the midst of a massive transformation. Dig a little deeper, however, and it quickly becomes apparent that – while the enablers of transformation are all around us – few manufacturers are truly transforming. Instead, most are tweaking and adjusting their business models and operating structures in preparation for the battle they know mustcome. The reality is that a major transformation is coming to the manufacturing sector, led by the forces of technology, innovation and new innovators. As a result, we see the pace of innovation accelerating and new disruptive innovators revolutionizing new product development, manufacturing processes, automation and business models. This, in turn, will drive the need for more agile, transparent and demand-driven supply chains and integrated business planning models. It would seem that many manufacturers are being a bit too cautious given the enormous opportunities and risks that are already emerging in this pre-transformation era. As in years past, perennial priorities around growth, cost and supply chain efficiency are still on everyone’s agenda. But steps to implement ‘next generation’ strategies remain modest.
Global Manufacturing Outlook
Performance in the crosshairs
The 2014 Global Manufacturing Outlook: Performance in the crosshairs report examines the continuing evolution of the strategies that manufacturers are deploying to drive value and performance across the enterprise.