OPAL-The Toolbox for the Integration and Analysis of IoT in a Semantically Annotated Way

作     者：Hertweck, Philipp Hellmund, Tobias Mossgraber, Juergen 

作者机构：Fraunhofer IOSB D-76131 Karlsruhe Germany 

出 版 物：《SENSORS》 (传感器)

年 卷 期：2021年第21卷第12期

页      面：4002-4002页

核心收录：

学科分类：0710[理学-生物学] 071010[理学-生物化学与分子生物学] 0808[工学-电气工程] 07[理学] 0804[工学-仪器科学与技术] 0703[理学-化学] 

基　　金：German city Hamburg 

主　　题：Industrial Internet of Things data integration data processing platform algorithm integration SensorThings API container technology Docker IoT platform 

摘      要：Industrial Internet of Things (IIoT) applications are being used more and more frequently. Data collected by various sensors can be used to provide innovative digital services supporting increasing efficiency or cost reduction. The implementation of such applications requires the integration and analysis of heterogeneous data coming from a broad variety of sensors. To support these steps, this paper introduces OPAL, a software toolbox consolidating several software components for the semantically annotated integration and analysis of IoT-data. Data storage is realized in a standardized and INSPIRE-compliant way utilizing the SensorThings API. Supporting a broad variety of use cases, OPAL provides several import adapters to access data sources with various protocols (e.g., the OPC UA protocol, which is often used in industrial environments). In addition, a unified management and execution environment, called PERMA, is introduced to allow the programming language independent integration of algorithms.