Data science for modern manufacturing : global trends : big data analytics for the industrial internet of things / Li Ping Chu
Material type: TextPublication details: India Shroff Publishers 2016Description: 29 pISBN:- 9789385889585
- 005.133 CHU-L
Item type | Current library | Collection | Shelving location | Call number | Status | Date due | Barcode | Item holds |
---|---|---|---|---|---|---|---|---|
Books | BITS Pilani Hyderabad | 003-007 | General Stack (For lending) | 005.133 CHU-L (Browse shelf(Opens below)) | Available | 46136 |
The world’s leading nations are standing at the precipice of the next great manufacturing revolution—one in which the Industrial Internet of Things (IIoT) and big data analytics are already making a major impact. In this O’Reilly report, author Li Ping Chu shares insight from industry experts and explores recent manufacturing initiatives in China, Germany, and the US to provide a succinct, hype-free overview of related technologies and applications.
You’ll learn what government groups are doing to promote the Industrial Internet, the technologies that are the backbone of this digital revolution, and the challenges companies whose projects are based on networked machines must consider.
Learn how IIoT technology is revolutionizing the way manufacturing gathers and processes data
Examine the Industrial Internet Consortium’s mission to identify, assemble, and promote best practices
Delve into Germany’s Industrie 4.0 IIoT platform and China’s government initiative Made in China 2025
Explore IIoT approaches to using technology such as Hadoop and Spark, AWS Cloud Services, GE Predix, and Siemens Sinalytics
Learn about other technologies that will shape industry, including: autonomous robots, simulation, additive manufacturing, and augmented reality.
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