Case Study: Ericsson and Freiburg U. Design High Q Power Harvesting Circuit Using ADS
The challenge was to satisfy the impedance matching requirement when the antenna, resonator, and matching components are loaded with the nonlinear diodes.
Simio's 8 Reasons to Adopt Industry 4.0
As a provider of Production Scheduling software to many Smart Factories, Simio is often asked about the benefits of embracing Industry 4.0
Industrial IoT: How Smart Alerts and Sensors Add Value to Electric Motors (Part 4 of 5)
With the IoT, every electric motor on a factory floor is equipped with one or multiple sensors that are connected (preferably wirelessly) to a control database that continuously collects data about the motors.
How Will Food Manufacturing Adapt to IIoT
The food manufacturing industry stands apart due to its continual reliance on people. No matter how much automation exists in a plant, people still need to oversee things. Employees will not become obsolete with the introduction of IIoT.
Three Industrial Internet of Things Macro Trends of 2018
Fully connected machines eliminate the need for post-production stress tests. The end users locations becomes the test environment. The varying use cases of each deployment create variations in the testing.
Big Opportunities in IoT Tech for Process Manufacturing
The report examines the technology by software, hardware and networking elements, all of which comprise the IoT system. Software is forecast as the fastest growing market (31.0% CAGR) over the next five years; although hardware currently has the largest installed base.
The Impact of the IoT on Energy Efficiency (Part 3 of 5)
One distinct benefit of the IoT is that it's generally available to every area of the economy, and this particularly holds true for energy efficiency improvements.
Smart Factories Need Space and Time Anchors
GIM International: Spatiotemporal referencing can be used to enhance contextualisation of Industrial Internet of Things (IIoT) data and information flows within 'smart factories, according to Studio iSPACE in Austria.
Pneumatics and the Internet of Things: What's Holding Us Back?
Pneumatics has had different diagnostic features for some time. For example, we can sense today whether the power is too low or too high, or whether there is a short circuit in an I/O system which caused some sort of failure.
Analysis: Four smart factory trends to watch in 2018
Jessica Twentyman for Internet of Business: Internet of Business presents four key technology trends that will help the smart factory deliver on its efficiency and responsiveness goals in 2018.
The Connected Factory
More than a technological revolution, the connected factory is a total reorganization of the approach to production, using existing tools and placing a greater reliance on networks.
The Enterprise Factory And The Smart City
Adi Gaskell for Forbes: Such a network ensures you not only have the technological skills required but also the cultural and softer factors that are so important.
Huawei Wireless X Labs Sets up Connected Factory SIG to Explore 5G Applications in Smart Manufacturing
The Wireless Connected Factory SIG has brought together partners in the field of smart manufacturing to conduct further research and promote extensive applications of 5G communication technologies in Industry 4.0.
The Impact of the IoT Demystified (Part 2 of 5) - Privacy and security
The IoT will enable us to collect more data, to know more, and to make better ("more qualified") decisions faster. This new territory will improve the quality of our lives and create further prosperity.
The Industrial IoT Risks You Must Not Ignore in 2018
Scott Allen for Sys-Con Media: Security, therefore, will ultimately be the limiting factor on how much IoT technology is deployed.
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Using AI to Collect & Leverage Data
Data is the foundation of Industry 4.0. While skilled workers will always be essential, data is reshaping the manufacturing landscape, enabling automation of repetitive tasks, empowering smarter decision-making with AI assistance, and reducing defects and downtime. This shift allows small and medium-sized manufacturers (SMMs) to compete more effectively on quality, speed, and cost. While AI and machine learning systems typically require around two years to collect enough data to reach their full potential, manufacturers can start seeing benefits almost immediately with basic analysis tools and dashboards. Our MEP National NetworkTM expert explains how in this Manufacturing Tomorrow article.
