Improved Temperature Monitoring and Control of Production Lines in Casting through BaSyx Framework and Edge Intelligence

Denker, Joachim; Iannino, Vincenzo; Laudenberg, Christian; Tenner, Alfred; Jelali, Mohieddine; Daun, Marvin

doi:10.1109/ijcnn55064.2022.9891962

Cited by 2 publications

(1 citation statement)

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“…Considering the related works in the literature, the majority of the academic research regarding Eclipse BaSyx for IT/OT integration is tailored to vertical use cases, focusing on the achievement of context-specific objectives. These works include data collection and visualization from existing "off-line" machinery [16]; resource monitoring in an open, interoperable, and vendor-neutral manner [17]; real-time control of a production line by shifting analytical capabilities to edge components, avoiding high volume data transfers, and reducing latency [18]; and robust data exchange between enterprise and control applications in a motor control scenario [19].…”

Section: Related Workmentioning

confidence: 99%

When Operation Technology Meets Information Technology: Challenges and Opportunities

et al. 2023

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Industry 4.0 has revolutionized process innovation while facilitating and encouraging many new possibilities. The objective of Industry 4.0 is the radical enhancement of productivity, a goal that presupposes the integration of Operational Technology (OT) networks with Information Technology (IT) networks, which were hitherto isolated. This disruptive approach is enabled by adopting several emerging technologies in Enterprise processes. In this manuscript, we discuss what we believe to be one of the main challenges preventing the full employment of Industry 4.0, namely, the integration of Operation Technology networking and Information Technology networking. We discuss the technical challenges alongside the potential tools while providing a state-of-the-art use case scenario. We showcase a possible solution based on the Asset Administration Shell approach, referring to the use case of camera synchronization for collaborative tasks.

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Section: Related Workmentioning

confidence: 99%