- This topic has 0 replies, 1 voice, and was last updated 6 years, 7 months ago by
.
-
Posts
-
-
Industry 4.0 in 2017 – Bosch ConnectedWorld Blog
[Editors note see Ditial Twin in IoTWiki ]
Recap on hybrid cloud, solutions, open standards and digital twins: As Industry 4.0 advances, emerging trends leave their mark on each passing year
1. The year of the hybrid cloud’s arrival in Industry 4.0
The combination of cloud and industrial (especially production-related) data has been a thorny issue in Industry 4.0 for years. Manufacturing data that affords insights into business processes will always be sensitive. They will not be made available in the cloud in the foreseeable future. However, a sharper distinction is being made: Is it machine process data that reveals nothing about what that machine makes and how it works? Such data is increasingly being seen as unproblematic for processing in the cloud. This distinction is a basic prerequisite for new services aimed to minimize downtime, for example, alarming and ticketing.
Learning in the cloud is also gaining traction in intralogistics. One such use case is predictive maintenance for forklifts in fleet management. Intelligence will increasingly be decentralized to do things like detect error patterns. Companies still conduct overall equipment effectiveness analyses and the like locally, on the premises. This requires hybrid solutions. The tech to make that happen is out there – fog computing, local clouds, or even edge computing.
New data-driven applications and services will not need to handle streamed data on a continuous basis. This development towards more decentralized, hybrid, selective and defined data analysis in Industry 4.0 applications will, in my opinion, characterize 2017 as the year that opened the cloud in Industry 4.0.
2. Digital twins: The year of the gateway to Industry 4.0
Digital twins are now part and parcel of every Industry 4.0 digitalization effort. They are to be understood as a standardized concept, allowing the standardization of technical interfaces independent of physical assets, providing information about energy consumption, for example, independently of the machine. Digital twins enable engineers to implement software solutions irrespective of the machine’s make or model
3. The year of Industry 4.0 solutions: Converging value streams
4. The year of very attractive Industry 4.0 open standards and open protocols
5. The year of big starts in Industry 4.0 greenfield projects
6. The year of learning Industry 4.0 data analytics
7. The Industry 4.0 forecast? Spring 2018 is coming.
-
- You must be logged in to reply to this topic.
