Meeting the Requirements of Industrial Production with a Versatile Multi-Sensor Platform Based on 5G Communication

Schmitt, Sarah; Mohanram, Praveen; Padovani, R.; König, Niels; Jung, Sven; Schmitt, Robert

doi:10.1109/pimrc48278.2020.9217230

Cited by 3 publications

(2 citation statements)

References 4 publications

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“…The energy-efficient MSP [8] was designed to consist of multiple sensor interfaces and complemented with hybrid communication connectivity. The MSP has a LoRa module for low-power transmission and a 5G module for enhanced connectivity with fast communication.…”

Section: Multi Sensor Platformmentioning

confidence: 99%

Architecture for Edge-Based Predictive Maintenance of Machines Using Federated Learning and Multi Sensor Platforms

Rosa¹,

Mohanram²,

Gilerson³

et al. 2023

Preprint

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Artificial Intelligence (AI) models are expected to have a great impact in the manufacturing industry, optimizing time and resource cost by enabling applications such as predictive maintenance (PM) of production machines. A necessary condition for this is the availability of high quality data collected as close as possible to the process in question. With the advent of 5G equipped multi sensor platforms (MSPs), high sampling rate data can be collected and transmitted for processing in real time. This poses a data security challenge, since this data may give valuable insight into confidential business information of companies. Federated learning (FL) enables the training of AI models with data from multiple sources without it leaving the shop floor, by utilizing distributed computing resources available on premise. This paper introduces an architecture of FL based on data collected from 5G MSPs for enabling PM in industrial environments and discusses its potential benefits and challenges.

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Section: Multi Sensor Platformmentioning

confidence: 99%

Architecture for Edge-Based Predictive Maintenance of Machines Using Federated Learning and Multi Sensor Platforms

Rosa¹,

Mohanram²,

Gilerson³

et al. 2023

Preprint

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“…The new 5G standard meets the requirements of versatility and latency and enables the use of wireless sensors for industrial monitoring applications. "Meeting the Requirements of Industrial Production with a Versatile Multi-Sensor Platform Based on 5G Communication" [7] describes the design of an MSP with 5G to meet the industrial standard. The paper explains the steps to realize an industrial-grade sensor platform and describes the technical architecture in depth.…”

Section: Introductionmentioning

confidence: 99%

5G-Based Multi-Sensor Platform for Monitoring of Workpieces and Machines: Prototype Hardware Design and Firmware

et al. 2022

Self Cite

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In this paper, we introduce a 5G-based multi-sensor platform for monitoring workpieces and machines. The prototype is realized within the EU-funded 5G-SMART project, which aims to enable smart manufacturing through 5G, demonstrating and validating new generation network technology in industrial processes. There are already state-of-the-art solutions, but with drawbacks such as limited flexibility, brief real-time capability, and sensors aimed at single applications. The 5G-SMART multi-sensor platform is designed to overcome these points and meet the requirements of Industry 4.0. The device is equipped with different sensors to acquire multiple data from workpieces and machines of the shop floor, wirelessly connected by 5G to the factory cloud. A hardware design description of the prototype is provided, focusing on the electronic components and their interaction with the microcontroller. Verification of the correct functioning of the board is given, with a basic library for the main peripherals used as a basis for the final firmware.

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5G as an enabler for cloud-based machine tool control

Siedler

Mertes

et al. 2021

Procedia CIRP

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Meeting the Requirements of Industrial Production with a Versatile Multi-Sensor Platform Based on 5G Communication

Cited by 3 publications

References 4 publications

Architecture for Edge-Based Predictive Maintenance of Machines Using Federated Learning and Multi Sensor Platforms

Architecture for Edge-Based Predictive Maintenance of Machines Using Federated Learning and Multi Sensor Platforms

5G-Based Multi-Sensor Platform for Monitoring of Workpieces and Machines: Prototype Hardware Design and Firmware

5G as an enabler for cloud-based machine tool control

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