ARCHIVE FOR THE ‘iiot’ CATEGORY

SigmaDots blockchain-based solution enables protection for IoT and IIoT systems.

 

 

SigmaDots, a cyber-security startup and subsidiary of Essence Group, has partnered with Telit, a global enabler of the Internet of Things (IoT), to expand IoT security and strengthen business continuity leveraging SigmaDots technology. Essence Group is a market leader in developing LTE-based connected devices and IoT platforms.

SigmaDots has developed the first embedded, blockchain-based cybersecurity solution for IoT and IIoT systems. Telit, recognizing the need for enhanced solutions, is working closely with SigmaDots to improve resilience to cyberattacks. The companies are collaborating on the use of blockchain technology for routers, control panels, IoT gateways, and a host of IoT devices, drastically reducing device vulnerability to cyberthreats.

“The ubiquity of IoT devices makes them attractive targets for cyber mischief,” said Alon Segal, SVP of Software & Services, Telit. “Our collaboration with SigmaDots adds another layer of security and communications resiliency using distributed technologies to offer advanced, secure infrastructure solutions for our customers.”

SigmaDots software-based solutions harness the power of serverless architecture, bringing blockchain-based cybersecurity to the IoT ecosystem. With a scalable, interoperable, and secure platform uniquely adapted to the limited resources of IoT, SigmaDots empowers connected ecosystems to accelerate the machine-to-machine economy.

“IoT is finally delivering on its promises of complete connectivity – wearables, mobile apps, home safety, smart meters and in industry – generally anywhere” said Itsik Harpaz, General Manager of SigmaDots. “However, this connectivity brings significant threats – an attack on a single device can spread throughout the entire network.”

IoT devices without strong cyber protection can easily become part of a botnet to carry out distributed denial of service (DDoS) attacks or fall prey to IoT-focused attacks like man-in-the-middle, data and identity theft, and device hijacking.

“SigmaDots technology was developed out of the need to strengthen the security of our IoT devices,” said Dr. Haim Amir, CEO and founder of Essence Group. “We’ve been creating innovative connected device solutions for more than 25 years, so we fully understand the challenges and the necessity of creating airtight cyber protection.”

 

In this third excerpt from an exclusive fieldservicenews.com presentation Kris Oldland, Editor-in-Chief, Field Service News is joined by John Hunt, Managing Director, EMEA, Astea to discuss the key findings of a research project Astea undertook with WBR.

 

Here, they turn their attention to the findings that were uncovered as the research focussed in on the adoption of IIoT amongst manufacturers as the two discuss just how widespread the adoption of connected field service is in today's business eco-system.

 

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In the age of the industrial internet of things (IIoT), the speed of data analysis is key to effective operation. Edge computing accelerates this process, allowing for industrial data analysis to be performed at the point of collection. 

Here, George Walker, managing director of industrial control and automation provider Novotek UK and Ireland, explains the core benefits of edge computing.

Edge computing is the term for when process data is collected, processed and analysed in a local device, as opposed to being transmitted to a centralised system. Supported by local cloud networks and IIoT platforms like GE Digital’s Predix, systems that support edge computing are proving increasingly popular as a means of streamlining the effectiveness of IIoT networks.

For plant and utility managers, this presents a range of opportunities to not only improve the efficiency of operations but to also overcome some of the limitations of centralised IIoT networks. In fact, there are the three main ways that edge computing drives value in businesses.

 

Greater operational efficiency

Traditional analysis is undergone by transferring data externally, which can delay decision-making as errors take longer to be found. With edge computing capable systems, large parts of the analysis can be carried out by the devices collecting the data.

The benefits of this are two-fold. For one, this can allow plant managers to access partial deep analysis in real time without waiting on lengthy analysis to be carried out externally. This means action can be taken earlier, streamlining the decision-making process.

The second benefit is that the IIoT platform, such as GE digitals Predix, can automatically respond to operational data. The system will be able to automatically adjust processes in real-time. In effect, this would allow for a self-correcting system that is able to maximise uptime and reduce the need for manual maintenance.

 

Overcoming network latency and bottlenecks

Traditionally, data analysis is carried out by having smart sensors send all their data to a remote location where it is analysed and processed. This is data intensive and can create problems if a network is not robust enough.

Channelling large amounts can cause network latency, which interrupts working within the plant as there will be a delay with transferring messages that run through the same network.

This is particularly problematic for applications where a system needs to act rapidly to a problem, such as in an industrial oven control system in a food production plant, where even a temporary dip in the temperature can result in a batch being unsuitable for market.

In addition to this, the sheer volume of raw data that can be generated in an industrial or utility plant is also likely to cause data bottlenecks in the wider network.

By using edge computing systems and a machine-learning IIoT platform, systems can respond to changes in real-time to prevent problems, while also having edge computers in place to compress the data and reduce network impact.

 

Lower operating costs

Due to the amount of information being produced, the cost of data storage is becoming a growing concern for companies. Edge computing and its ability to process data without transmitting it, lightens the load put on the network.

Processed data is also less substantial than raw data as calculations can be made that allow the raw data to be compressed, thus reducing file sizes. As such, industrial companies are able to make more economical use of their cloud servers. By minimising storage requirements and the number of storage upgrades required, edge computing can allow for a lower overall operating cost.

It’s clear that there are many benefits to edge computing, both from a financial and operational perspective. Whether a business is still considering adopting IIoT technology or is already making use of such systems, edge computing marks a step forward for businesses looking to streamline processes for efficiency and effectiveness.

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Fujitsu Limited and Ericsson have entered an agreement to deliver end-to-end 5G network solutions and related services under a strategic partnership. The two companies are joining forces to develop this based on their combined portfolios – spanning radio access and core network – for the dynamic 5G market in Japan, connecting communications service providers to the global 5G ecosystem.

The two companies aim to initially provide systems and solutions for the Japanese market, and seek to further expand their collaboration to other customers globally.

In the 5G era, mobile communications service providers anticipate the ability to provide highly scalable, and intelligent services through open and globally standardised technology for core and radio access network for more efficient network operations.

Ericsson and Fujitsu’s strength in research and development will ensure the best path for bringing global 5G solutions to Japan, as well as exploring a wider global market.[/quote]As a leading network technology provider, Fujitsu is making concerted efforts to support open standards activities driven by major telecommunications providers and aims to achieve broad interoperability for its radio access products in global markets.

As a world leader in 5G, Ericsson has worked closely with mobile operators around the world in the development of 5G, through standardization, trials, and prototyping.

Ericsson and Fujitsu’s strength in research and development will ensure the best path for bringing global 5G solutions to Japan, as well as exploring a wider global market.

Tango Matsumoto, Executive Vice President, Head of Network Business Group at Fujitsu, says: "Through this partnership with Ericsson, we will provide flexible 5G network systems that are open and standard compliant, and will leverage our expertise in wireless technologies and network integration to a wide range of customers in and outside of Japan. From mobile broadband, expected to be the first widespread use case of 5G, to the Internet of Things (IoT) and beyond, this partnership holds out the promise of exciting new business opportunities."

Fredrik Jejdling, Executive Vice President and Head of Business Area Networks at Ericsson says: “Our global expertise in 5G combined with our understanding of the local market puts us in an excellent position to support the introduction of 5G in Japan. By working closely with operators and partners, we are creating solutions that will bring successful use cases and applications to the market. With Fujitsu we get an excellent partner to accelerate this development.”

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Scott Berg, CEO at ServiceMax, from GE Digital explains why for those organisations getting the results that matter, the Industrial Internet of Things alone isn’t enough to transform their service offering...

Complex machines power the world’s largest industries, from offshore rigs to networks of medical devices, to massive wind turbines.

Over the last decade, we’ve seen everything from treadmills to coffee makers digitized in pursuit of smarter, better and faster machines to get better results. Industrial companies are adopting digital strategies and require a distinct understanding of connected machinery to do so successfully. It’s no surprise that these machines require thoughtful, technical and predictive maintenance.

Companies now more than ever are in the business of keeping machines running to ensure that the absolute most value is derived from each piece of equipmentCompanies now more than ever are in the business of keeping machines running to ensure that the absolute most value is derived from each piece of equipment. Our customers report, on average, a 19% increase in productivity since implementing Predix ServiceMax. That basically means that we can add an extra day to the technician’s week without working overtime.

ServiceMax from GE Digital is helping the world’s largest companies on their digital journey, starting with service delivery. What is fundamental to our understanding of Field Service Management (FSM) is the scale at which we provide service. We are meeting our customers at a global, enterprise level. As the industry adopts the Industrial Internet of Things (IIoT) we think about service in a big way and help companies on their digital journey.

We are 100% invested in making sure our customers are getting absolutely all the value they can from the equipment they have and how it’s being used.

Why IIoT won’t be enough to transform service

IIoT-enabled devices and data insights alone are not enough to paint a clear picture of service in the future. Talk of IIoT is everywhere, from budgets to yearly planning, to newspaper headlines. At the end of the day, data informs a procedural change within only one part of a machine at one point in time. Decisions are made on a limited set of inputs, whether that be wear and tear of a specific part, or work order history.

You might say that using IIoT alone is tunnel vision.

Meaningful service is going beyond IIoT, and Asset Performance Management (APM) is the catalyst: it opens up data to more contextual inputs from the broader ecosystem. APM harnesses the behaviour of the machine and goes beyond a simple exercise in efficiency.

It’s important to understand the key is not solely APM, FSM or IIoT. Rather, it’s all three working together to create a holistic solution.It’s important to understand the key is not solely APM, FSM or IIoT. Rather, it’s all three working together to create a holistic solution.

APM monitors the behaviour of the machine, and the FSM platform brings it all together to inform how, when, and why we choose to service or replace a machine. It monitors machine health directly after a repair, and cycles that information into future repairs, to close the loop of service.

The powerful combination of APM and FSM provides a complete view of a product and establishes lifecycle management strategies. The result is a service product management solution that has up-leveled a traditional connected device strategy, incorporating a business’s bottom line. This has saved our customers millions of dollars.

Digital industry brings dynamic results 

Field service in the industrial era is more than a one-time project. Done well, it is an industrialists guide to a digital future, providing vital insights and outcomes for customers. The new era of field service will be marked by connectivity and share a fundamental goal of zero downtime for critical equipment.

There will be industrial behemoths and then there will be digital industrial behemoths.

Field service is evolving into a system that doesn’t forgetField service is evolving into a system that doesn’t forget: an APM-integrated platform incorporates past data to make decisions about parts, technicians, and compliance in the present. And then the magic happens: the system integrates several data factors based on the outcomes of similar work orders and controls for a business perspective: how much time and money can we afford to spend here? That data is translated to actionable insights for technicians on the ground, meaning they are not working towards a static goal of ‘machine repair.’ Instead, technicians are working towards a dynamic outcome: machine uptime.

We are reaching a point where FSM is simultaneously smarter than us yet utterly useless without the most vital component of service: humans. Technicians close the loop between data and predictions by recording the actions they take.

They have the training, the expertise, and the context for each work order with a FSM platform at their fingertips. And the result is that not only is complex machinery functioning smoothly, but FSM is providing the savvy digital industrialist an avenue to a more prosperous day on the job tomorrow.

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