Industry 4.0 is enabling smart factories by configuring cyber-physical (Internet-connected) systems coupled with artificial intelligence (AI) to leverage the Industrial Internet of Things (IIoT) for seamless machine-to-machine communication, data transfer, and advanced automation of processes throughout the manufacturing value chain. The opportunity to optimally use and communicate the data collected about key equipment and processes depends on the smart sensors with inherent signal processing and data communications capabilities.
Sensors will have key growth opportunities in Industry 4.0 driven by their ability to provide enhanced detection of equipment, process, and product conditions and improved Internet-based sharing of vital information within the manufacturing facility and across the entire supply chain. Industry 4.0 enables advancements in automation, efficiency, and flexibility driven by smarter sensors. This research report provides analysis of key technology innovations and identifies key developers of sensors and related technologies for improved sensing and communications of data for more efficient, cost-effective manufacturing. The technology and innovation report pinpoints key markets, needs, opportunities, and challenges for sensors in Industry 4.0.
Table of Contents
1.0 Executive Summary1.1 Research Scope1.2 Sensors in Industry 4.0 – Trends and Needs1.3 Research Methodology1.3 Research Methodology (continued)1.4 Key Research Findings1.4 Key Research Findings (continued)2.0 Technology Landscape Assessment – R&D Portfolio Themes2.1 Strategic Assessment: R&D Portfolio Analysis2.1 Strategic Assessment: R&D Portfolio Analysis (continued)3.0 Sensors Innovations Driving Industry 4.03.1 AMELI 4.0, Smart, Self-Powered Sensors for Machine Condition Monitoring - Bosch GmbH3.2 RoMulus Intelligent Multi-Sensor Systems - German Federal Ministry of Education and Research (BMBF)3.3 Self-diagnosing Proximity Sensors - Honeywell International Inc.3.4 Safety++, Wearables to Improve Safety of Energy Workers - Massachusetts Institute of Technology (MIT)3.5 Graphene Resistance Temperature Sensor - Marquette University, Cornell University, US; Dongguk University, National Nanofab Center, South Korea3.6 Wearable IoT Network Solution for Worker Safety - Celtic-Plus, Germany, Netas, Turkey3.7 Wireless Sensor System for Automated Washrooms -Fraunhofer Institute for Integrated Circuits IIS, Germany 3.8 TOMOCON - Helmholtz0Zentrum Dresden-Rossendorf (HZDR), Germany 3.9 Continuous Real-Time Asset Location and Condition Tracking - Cloudleaf, US4.0 Assessment of Adoption of Sensors4.1 Industry 4.0 Drives Demand for Smart Sensors4.2 Sensor Data is Vital for Digital Twins4.3 The Sensor Data Must be Effectively Managed4.4 Need for Open Embedded Sensor Platforms4.5 Ubiquitous Sensors in Digitized Manufacturing 4.6 Open Standards4.7 Internet of Things and Cognitive Manufacturing4.8 IO-Link4.9 Achieving Electromagnetic Compatibility can be Challenging5.0 Assessment of Strategic Alliances5.1 SmartFactoryKL5.2 Transferring Sensor Data to the Cloud5.3 Smart Process Sensors 4.05.4 Smart NMR Sensors for Hybrid Modular Plants5.4 Smart NMR Sensors for Hybrid Modular Plants (continued)5.5 Konux Garners $16 million in Series A Funding 5.6 LoRa Alliance5.7 Ultrasonic Sensors for Collaborative Robots5.8 Machine Tool 4.06.0 Growth Opportunities and Strategic Viewpoint6.1 Key Growth Opportunities for Sensors 4.06.1 Key Growth Opportunities for Sensors 4.0 (continued)6.2 Strategic Approaches for Driving Adoption of Sensors 4.06.2 Strategic Approaches for Driving Adoption of Sensors 4.0 (continued)7.0 Key Contacts7.1 Key Contacts Legal Disclaimer