2020 · 13 citations · 15 references
EngineeringIndustrial EngineeringManufacturing EngineeringArtificial IntelligenceAutomationInternet Of ThingsFactory AutomationIndustrial AutomationIndustrial Cyber-physical SystemsIndustrial Internet Of ThingsIot Application DevelopmentManufacturing AutomationCyber-physical Production SystemsIndustrial Automation SystemsIndustrial Internet Of Things ArchitectureIndustrial Iot ApplicationsIndustrial Iot ArchitectureIndustrial Iot PlatformsIndustry 4.0 AdoptionIntelligent Manufacturing Systems
Industry 4.0 involves enhancing industrial processes with high-fidelity and high-value information from machines, workers, and products. Industry 4.0 applications improve production efficiency, product quality, etc., by using Internet of Things (IoT) and Artificial Intelligence (AI). Existing industry 4.0 application development approaches are centered on commercial IoT platforms that provide siloed development and runtime environments (leading to vendor lockdown) and only support individual sensors and actuators instead of entire machines. Therefore, Industry 4.0 applications need to construct representations of complex machines from such basic elements, which is a costly, error-prone, inefficient hindering portability across machines and plants. This paper proposes Cyber Twins, a comprehensive solution for efficient Industry 4.0 application development, testing, and portability. The Cyber Twins solution includes a model for machine representation and services that facilitate Industry 4.0 application development. Finally, a prototype Cyber Twin implementation is presented, with its functionality described using a sample Industry 4.0 application.
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The SSN ontology of the W3C semantic sensor network incubator group
Michael Compton, Payam Barnaghi, Luis Bermúdez et al. · Journal of Web Semantics · 2012 · 1.4K citations · Full text