Future Assembly with Distributed Sensor Services

Lineless Mobile Assembly Systems are a new paradigm addressing the production of large, high-value components with a high degree of automation and traceability at lot sizes as small as 1. This ambition is supported by a more cost-efficient and sustainable use of capacity-limited assembly resources as well as an increasing awareness for in-process data availability, analysis and continuity enabling (semi-) automated model- and knowledge-driven decisions.

Deploying mobile, standardized automation resources in conjunction with unrestricted and dynamic process planning, resolves in fixed shop floor layouts with monument based automation. For this scenario, model-based system control is mandatory for reliable and resilient processes, which in turns demands elaborated models evaluable with traceable real-time information. Distributed Sensor Services complement this demand constituting a ubiquitously available metrology-based reference frame and infrastructure. The service-oriented architecture and sensor models allow for physical distribution and heterogeneity of sensors, diverse network and persistence interfaces and flexible utilization of computational capabilities on different hardware.

With 5G, a key technology for enabling data-intensive industrial environments with numerous mobile resources has recently become available, motivating the presented concept for and prototyping of future assembly systems for, among others, automotive and aerospace use-cases.

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Mögliches Smart Automation Ecosystem mit Fokus auf der Produktion

Image 1: Service-based architectures connect assembly resources, sensors, digital models and computing resources, allowing dynamic, decentralized planning, thus ensuring resilient production

Mögliches Smart Automation Ecosystem mit Fokus auf der Produktion

Lineless Mobile Assembly Systems combine mobile, standardized assembly resources with sensor services for resilient production

Contribution in Conference Proceedings

Future Assembly with Distributed Sensor Services

Lineless Mobile Assembly Systems are a new paradigm addressing the production of large, high-value components with a high degree of automation and traceability at lot sizes as small as 1. This ambition is supported by a more cost-efficient and sustainable use of capacity-limited assembly resources as well as an increasing awareness for in-process data availability, analysis and continuity enabling (semi-) automated model- and knowledge-driven decisions.

Deploying mobile, standardized automation resources in conjunction with unrestricted and dynamic process planning, resolves in fixed shop floor layouts with monument based automation. For this scenario, model-based system control is mandatory for reliable and resilient processes, which in turns demands elaborated models evaluable with traceable real-time information. Distributed Sensor Services complement this demand constituting a ubiquitously available metrology-based reference frame and infrastructure. The service-oriented architecture and sensor models allow for physical distribution and heterogeneity of sensors, diverse network and persistence interfaces and flexible utilization of computational capabilities on different hardware.

With 5G, a key technology for enabling data-intensive industrial environments with numerous mobile resources has recently become available, motivating the presented concept for and prototyping of future assembly systems for, among others, automotive and aerospace use-cases.

YouTube

By downloading the video you accept the privacy policy of YouTube.
More information

Load video

back
Mögliches Smart Automation Ecosystem mit Fokus auf der Produktion

Image 1: Service-based architectures connect assembly resources, sensors, digital models and computing resources, allowing dynamic, decentralized planning, thus ensuring resilient production

Mögliches Smart Automation Ecosystem mit Fokus auf der Produktion

Lineless Mobile Assembly Systems combine mobile, standardized assembly resources with sensor services for resilient production

Contribution in Conference Proceedings