Bosch IoT Suite: Exploiting the Potential of Smart Connected Products

Jung, Sven; Ferber, Stefan; Cramer, Irene M.; Bronner, Wolfgang; Wortmann, Felix

doi:10.1007/978-3-030-76897-3_15

Cited by 3 publications

(2 citation statements)

References 4 publications

(5 reference statements)

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“…Bosch IoT Things [43] provides a versatile IoT infrastructure, facilitating the management of DTs for their IoT devices (assets). This infrastructure allows DTs to be equipped with various communication interfaces, enabling a bidirectional connection with their physical counterparts to manage asset data, obtain notifications on all relevant changes, and keep in a synchronous state with their assets.…”

Section: Existing Iot Infrastructures For Shm Systemsmentioning

confidence: 99%

IoT-Based SHM Using Digital Twins for Interoperable and Scalable Decentralized Smart Sensing Systems

Chen,

Reitz,

Richstein

et al. 2024

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Advancing digitalization is reaching the realm of lightweight construction and structural–mechanical components. Through the synergistic combination of distributed sensors and intelligent evaluation algorithms, traditional structures evolve into smart sensing systems. In this context, Structural Health Monitoring (SHM) plays a key role in managing potential risks to human safety and environmental integrity due to structural failures by providing analysis, localization, and records of the structure’s loading and damaging conditions. The establishment of networks between sensors and data-processing units via Internet of Things (IoT) technologies is an elementary prerequisite for the integration of SHM into smart sensing systems. However, this integrating of SHM faces significant restrictions due to scalability challenges of smart sensing systems and IoT-specific issues, including communication security and interoperability. To address the issue, this paper presents a comprehensive methodological framework aimed at facilitating the scalable integration of objects ranging from components via systems to clusters into SHM systems. Furthermore, we detail a prototypical implementation of the conceptually developed framework, demonstrating a structural component and its corresponding Digital Twin. Here, real-time capable deformation and strain-based monitoring of the structure are achieved, showcasing the practical applicability of the proposed framework.

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Section: Existing Iot Infrastructures For Shm Systemsmentioning

confidence: 99%

IoT-Based SHM Using Digital Twins for Interoperable and Scalable Decentralized Smart Sensing Systems

Chen,

Reitz,

Richstein

et al. 2024

Information

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“…Many producers of EVs and their co-systems are using the DT platform for research and development purposes. Some EV manufacturers have established their own DT platforms, while others are in collaboration with global platform developers [ 70 , 71 , 72 , 73 ]. Table 2 provides an adequate review of some DT platforms used by EV manufacturers.…”

Section: Dt Platforms For Ev Applicationsmentioning

confidence: 99%

Overview of Digital Twin Platforms for EV Applications

Ibrahim

Rjabtšikov

Zequera

2023

Sensors

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Digital twin (DT) technology has been used in a wide range of applications, including electric vehicles. The DT platform provides a virtual representation or advanced simulation of a physical object in real-time. The implementation of DT on various aspects of EVs has recently transpired in different research studies. Generally, DT can emulate the actual vehicle on the road to predict/optimize its performance and improve vehicle safety. Additionally, DT can be used for the optimization of manufacturing processes, real-time condition monitoring (at all levels and in all powertrain components), energy management optimization, repurposing of the components, and even recycling processes. This paper presents an overview of different DT platforms that can be used in EV applications. A deductive comparison between model-based and data-driven DT was performed. EV main systems have been discussed regarding the usable DT platform. DT platforms used in the EV industry were addressed. Finally, the review showed the superiority of data-driven DTs over model-based DTs due to their ability to handle systems with high complexity.

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Cognitive Digital Twin Enabling Smart Product-Services Systems: A Literature Review

Enrique

Soares

2022

Collaborative Networks in Digitalization and Society 5.0

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Bosch IoT Suite: Exploiting the Potential of Smart Connected Products

Cited by 3 publications

References 4 publications

IoT-Based SHM Using Digital Twins for Interoperable and Scalable Decentralized Smart Sensing Systems

IoT-Based SHM Using Digital Twins for Interoperable and Scalable Decentralized Smart Sensing Systems

Overview of Digital Twin Platforms for EV Applications

Cognitive Digital Twin Enabling Smart Product-Services Systems: A Literature Review

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