Technical Analysis of Intelligent Measurement Technology Innovation Under the Environment of Energy Internet

Author(s):  
Xue Li ◽  
Qinghua Tang ◽  
Ke Xu ◽  
Ning Kang ◽  
Chenyu Zhou ◽  
...  
2017 ◽  
Vol 11 (5) ◽  
pp. 681-681
Author(s):  
Satoru Takahashi ◽  
Yuki Shimizu ◽  
Yasuhiro Mizutani

Measurement technology in the field of production engineering has long played an essential role in improving the yield and reliability of manufactured products, and it will continue to increase in importance to the manufacture of advanced products. The development of intelligent and innovative measurement technologies will not only be essential but also indispensable to the creation of high value-added products as next-generation advanced products, manufactured based on leading-edge production technologies and science. The importance of measurement technologies indispensable to the digitization of things has been increasing particularly dramatically in the industrial revolution of production based on the innovative advancement of big data management and the cloud computing environment. This special issue addresses the latest research advances into measurement for production engineering. This covers a wide area, including dimensional measurement, surface metrology, uncertainty, traceability, calibration, in-process and on-line metrology, machine tool metrology, optical metrology, micro and nano metrology, and applied sensor technology. We hope that learning more about these advances will enable the readers to share in the authors’ experiences and knowledge of technologies and development. All papers were refereed through careful peer reviews. We would like to express our sincere appreciation to the authors for their submissions and to the reviewers for their invaluable efforts, ensuring the success of this special issue.


2019 ◽  
Vol 2 (4) ◽  
pp. 260-266
Author(s):  
Haru Purnomo Ipung ◽  
Amin Soetomo

This research proposed a model to assist the design of the associated data architecture and data analytic to support talent forecast in the current accelerating changes in economy, industry and business change due to the accelerating pace of technological change. The emerging and re-emerging economy model were available, such as Industrial revolution 4.0, platform economy, sharing economy and token economy. Those were driven by new business model and technology innovation. An increase capability of technology to automate more jobs will cause a shift in talent pool and workforce. New business model emerge as the availabilityand the cost effective emerging technology, and as a result of emerging or re-emerging economic models. Both, new business model and technology innovation, create new jobs and works that have not been existed decades ago. The future workers will be faced by jobs that may not exist today. A dynamics model of inter-correlation of economy, industry, business model and talent forecast were proposed. A collection of literature review were conducted to initially validate the model.


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