IoT and Predictive Maintenance

June 18, 2018

This White Paper aims to discuss whether we can connect the Internet of things (IoT) with Machine Learning and Predictive Analysis and how. This would allow us to perform Predictive Maintenance and use it to improve the way we handle our infrastructure and other important assets. For easier understanding, we will use a concrete example of an important asset – batteries.

Spotlight

KONUX

KONUX is a Munich-based company that combines smart sensors and AI-based data analytics to help railway companies switch to predictive maintenance. Our end-to-end solution helps clients continuously monitor their infrastructure, identify maintenance needs ahead of time, and improve operational efficiency.

OTHER WHITEPAPERS
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CYBER SECURITY IN THE ERA OF INDUSTRIAL IOT

whitePaper | February 6, 2020

Industrial cyber security has been a topic of much debate over the last decade. Despite the industry’s widespread acknowledgement of its significance, cyber security in the industry continues to be an elusive subject for many. A huge gap exists in understanding the implications of cyber security; however, the subject has been greatly discussed. Interestingly, the industrial environment is currently passing through a key phase, where the idea of Internet of Things (IoT) is beginning to pervade all areas of industrial operation. This ongoing change is poised to expand the complex security needs in the factories of the future.

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Global Industry Standards for Industrial IoT

whitePaper | June 2, 2021

The Industrial Internet of Things (IIoT) is a rapidly expanding world of connected objects. As IIoT systems proliferate, large amounts of data are consumed by machine learning algorithms and shared between partners, customers and others. IIoT is a technology environment in which integration and interoperability are critical capabilities and the complexity of this environment makes this difficult to achieve. Standards play a critical role in IIoT for five main reasons. First, users and vendors cannot engineer a custom interface every time components or systems need to interact. Standards can make this explosion of interfaces manageable; they are the lingua franca for interoperability. For suppliers, this eliminates needless costs related to common capabilities instead encouraging a focus on innovations that add value.

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Tailoring IoT platforms to the requirements of specific use cases

whitePaper | April 13, 2021

The Internet of Things has evolved in the last 10-15 years from a long-term visionary idea to our current reality, present in more and more domains of our everyday lives. Many IoT architectures and platforms are being proposed today by various academic and industrial consortia, in domains as diverse as smart manufacturing, smart homes, smart cities or smart transport, to name just a few. These different IoT platforms have many things in common, as they all rely on connecting some smart sensor and actuator devices to each other and to the Internet, providing value-added services and applications to us, human users, either directly, or in an indirect manner. However, by closely analyzing their structure and operational focus, we can observe that these IoT architectures and platforms have also special features tailored to the requirements of different use cases.

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Establishing Confidence in IoT Device Security: How do we get there?

whitePaper | May 14, 2021

The purpose of this draft paper is to start a conversation about what it means to have confidence in the cybersecurity of IoT devices used by individuals and organizations and the various ways of gaining that confidence. This paper describes the landscape of confidence mechanisms that are currently available for establishing the security of IoT devices in the marketplace. In preparing this paper, NIST conducted extensive research on initiatives that can help to instill confidence in IoT device security and held a series of meetings with government and industry experts to glean information on the unique aspects and challenges in this space.

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Accelerating the Impact of Industrial IoT in Small and Medium‑Sized Enterprises

whitePaper | February 12, 2020

Small and medium sized enterprises (SMEs) in the manufacturing sector are being left behind in the Fourth Industrial Revolution. This worrying trend is exacerbating economic inequality, stifling opportunities for social mobility and dragging down global industrial productivity. To benefit from the technological advancements of the Fourth Industrial Revolution, SMEs will need to overcome a range of challenges including a dearth of skilled employees, lack of access to capital and unclear returns on investment, a need to revamp their firm’s infrastructure and processes, a need to update information technology and operational technology, and navigate a nascent technology landscape that is currently poised to serve larger companies.

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IoT at the Edge: HOW AI WILL TRANSFORM IOT ARCHITECTURE

whitePaper | May 23, 2021

The vast amounts of data constantly collected by the billions of sensors and devices that make up the Internet of Things (IoT) can pose a serious processing challenge for businesses that rely on traditional intelligence and analytics tools. An emerging solution is to use Artificial Intelligence (AI) and machine learning to build intelligent systems that automatically gather, process, and extract actionable insights from IoT data - in real time without the need for human intervention. How are AI-enabled systems transforming IoT devices and applications at the edge, and what are some of the emerging use cases we can expect to see in the near future?

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Spotlight

KONUX

KONUX is a Munich-based company that combines smart sensors and AI-based data analytics to help railway companies switch to predictive maintenance. Our end-to-end solution helps clients continuously monitor their infrastructure, identify maintenance needs ahead of time, and improve operational efficiency.

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