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- W2991388402 abstract "Industrial IoT-based Performance measuring and optimization is a critical and important challenge for Industry 4.0. Harnessing data integration across different industrial systems could optimize production and enable interoperability and seamless integration in a domain where proprietary and manufacturer-dependent protocols and data models has always prevailed. In this paper, we present OPTYFY, an IIOT Data Management platform which fosters semantics for monitoring Industrial IoT devices. OPTYFY gathers different IoT data under a particular formal semantics and visualizes in a dashboard several features. We also present a proof-of-concept which deals with features such as time, flow and rate of production to monitor and optimize the factory production process." @default.
- W2991388402 created "2019-12-05" @default.
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- W2991388402 date "2019-01-01" @default.
- W2991388402 modified "2023-09-25" @default.
- W2991388402 title "OPTYFY: Industrial IoT-Based Performance and Production Optimization Based on Semantics" @default.
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- W2991388402 doi "https://doi.org/10.1007/978-3-030-34989-9_13" @default.
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