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Current Industry 4.0 Platforms – an Overview

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Current Industry 4.0 Platforms – an Overview IIP-Ecosphere Whitepaper Current Industry 4.0 Platforms – An Overview Christian Sauer, Holger Eichelberger, Amir Shayan Ahmadian, Andreas Dewes, Jan Jürjens White Paper IIP-2020/001-en 2 Current Industry 4.0 Platforms Disclaimer The contents of this document has been prepared with great carefulness. Although the information has been prepared with the greatest possible care, there is no claim to factual correctness, completeness and/or timeliness of data; in particular, this publication cannot take into account the specific circumstances of individual cases. Any use is therefore the reader's own responsibility. Any liability is excluded. This document contains material that is subject to the copyright of individual or multiple IIP-Ecosphere consortium parties. All rights, including reproduction of parts, are held by the authors. This document reflects only the views of the authors at the time of publication. The Federal Ministry for Economic Affairs and Energy or the responsible project agency are not liable for the use of the information contained herein. Publication: January, 2021 (translated version of the original IIP-2020/001 whitepaper from November/December, 2020, partially with additional explanations on the translation if needed) on https://www.iip-ecosphere.eu/ DOI: 10.5281/zenodo.4485756 3 Current Industry 4.0 Platforms Executive Summary This white paper provides an overview of current Industry 4.0 platforms, particularly from the perspective of the IIP-Ecosphere project, which is funded by the German Federal Ministry for Economic Affairs and Energy (BMWi) in the “KI-Innovationswettbewerb” (AI innovation competition). The focus is on topics such as interconnectivity, digital twins, openness, security and the use of AI in the context of smart manufacturing. The document describes the approach to data collection, the detailed results for individual industrial platforms, and a summarizing overview. A total of 21 industrial platforms are analyzed based on publicly available documents using 16 analysis topics. Both platforms and analysis topics originate from intensive discussions between the IIP-Ecosphere project partners. In particular, the analyzed platforms cover the required basic functions. For example, a wide range of communication protocols is often provided and a wide variety of cloud services are integrated. Even newer trends such as artificial intelligence can now be found in the platform descriptions. However, the range of functions also varies greatly among the platforms. Newer standards such as OPC-UA, UMATI or the Industry 4.0 Asset Administration Shell are often used only cautiously, if at all, which may be due in part to the development history, but also due to strategic considerations. Based on the cross-platform analysis of the 16 topic areas, we derive challenges for future platforms and especially for our work in IIP-Ecosphere. These include topics such as open ecosystems, extensible architectures with standardized interface descriptions, flexible and dynamic support for AI procedures, secure and unified data exchange (for data sharing, resource sharing, and data usage control) as well as end-to-end and consistent configurability that builds user trust in the respective platform. Standardization of (some of) these topics would be desirable to improve exchange and interoperability between platforms and platform ecosystems and to avoid vendor lock-ins. 4 Current Industry 4.0 Platforms Table of Contents 1 Introduction ................................................................................................................................6 1.1 Motivation and Goals ..........................................................................................................6 1.2 Interactions with other Initiatives ........................................................................................7 1.3 Structure of the Document ..................................................................................................7 2 Approach, Analysis Topics and Platform Selection .......................................................................7 2.1 Analysis Topics ....................................................................................................................8 2.2 Plattform Selection ............................................................................................................ 13 2.3 Collection of Raw Data....................................................................................................... 13 2.4 Analysis of the Collected Raw Data .................................................................................... 14 3 Plattform details ....................................................................................................................... 16 3.1 Adamos – Adamos ............................................................................................................. 18 3.2 Amazon - AWS IoT ............................................................................................................. 22 3.3 Bosch – Bosch IoT Suite ..................................................................................................... 29 3.4 B&R - Automation mapp Technology ................................................................................. 35 3.5 Cisco – Kinetic.................................................................................................................... 38 3.6 Deviceinsight – Centersight ............................................................................................... 43 3.7 Emerson – Plantweb .......................................................................................................... 46 3.8 Endress + Hauser – Netilion ............................................................................................... 49 3.9 General Electrics – Predix .................................................................................................. 52 3.10 Google – Google Cloud IoT Core ........................................................................................ 58 3.11 Harting – MICA .................................................................................................................. 62 3.12 IBM - Watson IoT Suite ...................................................................................................... 65 3.13 Microsoft - Azure IoT Suite ................................................................................................ 71 3.14 Oracle – Oracle Cloud IoT .................................................................................................. 78 3.15 PTC - ThingWorx ................................................................................................................ 84 3.16 Recogizer Analytics - Recogizer Analytics IoT Platform ....................................................... 91 3.17 SAP – Leonardo ................................................................................................................. 95 3.18 Siemens – MindSphere .................................................................................................... 104 3.19 Software AG – Cumolocity ............................................................................................... 111 3.20 S&T – SUSiEtec ................................................................................................................ 114 3.21 Weidmüller - Industrial Analytics ..................................................................................... 117 4 Evaluation of the Platforms ..................................................................................................... 119 4.1 Overview Information ...................................................................................................... 119 4.2 Licenses ........................................................................................................................... 120 4.3 Protocols ......................................................................................................................... 120 4.4 Edge Support ................................................................................................................... 121 5 Current Industry 4.0 Platforms 4.5 IIoT Devices ..................................................................................................................... 123 4.6 Security ........................................................................................................................... 125 4.7 Data Protection ............................................................................................................... 126 4.8 Cloud Support and Scalability .......................................................................................... 128 4.9 Digital Twins / Asset Administration Shell ........................................................................ 129 4.10 Data Management, Data Analysis and AI Capabilities ....................................................... 131 4.11 Openness / Extensibility .................................................................................................. 132 4.12 Systematic Configurability ............................................................................................... 135 4.13 Ecosystem Building .......................................................................................................... 136 4.14 Other Technical Abilities .................................................................................................
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