Abstract
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.
Highlights
The number of devices in the context of the Internet of Things (IoT) isgrowing.In the year 2025 it is expected that more than 75 billion devices will be interconnected through the internet [1]
The raw sensor measurements as well as the processing results are stored in FROST, external systems or visualization applications can access all available data through the standardized SensorThings Application Programming Interfaces (API)
If a centralized architecture is not possible, for example, due to legal or technical constrains, the OPAL approach can be used in a federated manner: first integration and processing steps can be implemented in multiple instances of the OPAL toolbox, deployed and if necessary operated by different organizations and in distributed locations
Summary
The number of devices in the context of the Internet of Things (IoT) is (ever-)growing. Internet of Things (IIoT), a growing number of devices and low power sensors transfer IoT applications in industrial domains. The first step in the data analysis pipeline of sensor data is the collection and integration of various data sources, either from existing systems or from deployed sensors Several standards address this use case, such as the Sensor Things API from the. This paper is structured as follows: Use cases from different application domains, all covering aspects of the IIoT, are presented Section 2. These use cases are analysed to establish requirements for the OPAL toolbox.
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
