Why “Edge Computing” is edging closer and closer (Authentise Weekly News-In-Review – #121)

There are various reasons to be excited about edge computing. It proposes a localized way to deal with data analysis, making individual nodes independent of a central hub. This offers greater levels of security, isolating data to where it needs to be processed, as well as quicker responsiveness, obtaining actionable insights without the need for data transfer. There are still a few roadblocks to sort before the technology becomes fully applicable to all industrial settings. Mainly, these have to do with the convergence of IT and OT fields, enabling easier communication and action. The technology is there when it comes to processing and data transfer. Next generation PLCs address the needs of an edge network, reducing complexity along with installation time and costs. In parallel, 5G connection will enable extremely fast communication for large volumes of data (already proving itself valuable for autonomous cars). Decentralizing operations, in manufacturing and elsewhere, will lead to more secure and optimized workflows.

Is IIoT Edge Computing Ready Yet?

Image of a cloud and edge computers linked to it

Edge computing is evolving because of the high demand to move computer processing closer to sensors to decrease latency and improve efficiency. The IoT device at the edge must be responsible for computing, storing and network connectivity, all in a small form factor. Depending on the requirement, processed data from the sensors can be sent to the cloud either in parts or all at once.

Read the full article here.

The IIoT Challenge

https://www.automationworld.com/Benson%20Hougland%2C%20Opto%2022

[…] getting that data from the edge of the network where it’s produced to the databases and people who need it can be a challenge. Communication for control as well as monitoring and data acquisition can be even tougher. For the IIoT applications we’re doing now, we need a new approach—a new product that does much more than a PLC or PAC, a product that shrinks the middleware and improves security. That product has recently appeared. It’s called EPIC—Edge Programmable Industrial Controller. Because an EPIC replaces middleware and reduces the steps required to get data, it reduces complexity, lessens security risks, and decreases the time and expense of installation and maintenance.

Read the full article at Automation World.

5G’s Important Role in Autonomous Car Technology

5G in the auto industry

The fifth-generation wireless technology is expected to connect almost everything around us with an ultra-fast, highly reliable, and fully responsive network. 5G will allow us to leverage the full potential of advanced technologies such as AI, VR, and the Internet of Things (IoT). Self-driving cars use hundreds of sensors to make vehicles faster and smarter. These sensors generate unprecedented amounts of data, much more than any other IoT adoption would. Handling, processing, and analyzing this amount of data requires a much faster network than the existing 4G technology. Autonomous cars, systems require incredible data processing capabilities and speeds needed to mimic the timing of human reflexes.

Read the rest here.

 

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The problems, and solutions, to the IIoT (Authentise Weekly News-In-Review – #110)

The Industrial Internet of Things (IIoT) is taking hold on many industrial settings, and yet we are still far from reaping its true benefits. There are multiple reasons for this, and they have to do with the technical limitations of dealing with a large number of sensors and data, how to interpret it correctly and efficiently and how to create a reliable mesh network to tie it all together. AI may look promising for data handling and predictive systems. However, there are many angles to iron out before these make feasible solutions. AI’s prowess on self-teaching may fall short when, to be useful, it would have to learn and predict countless possibilities of a complex industrial setting. Established technologies, or novel combinations of them, can bring exciting opportunities to the table. RFID tagging for warehouse traceability is a dream come true for spoiling inventories while merging long-range connectivity with cloud services can satisfy a large portion of IIoT applications.

How IIoT and RFID deal with perishable inventory

Screen Shot 2019-02-25 at 11.17.42 AM

In North America alone, billions of dollars of food spoil before reaching customers each year. In the pharmaceutical industry, temperature-sensitive products are regularly damaged due to inappropriate shipping and storing conditions. To gain better visibility into the location and the condition of perishable inventory items, businesses can turn to RFID and IIoT technologies.

Read the full article at Smart Industry.

Is Artificial Intelligence the Answer for IIoT?

Many AI methods are self-taught, so they avoid the need for process mapping and other tedious analytical processes, making it seem to be the right fit for IIoT. Yet, only a few methods will apply. The most useful methods are not greedy for impossible amounts of data. They focus machine learning in explainable ways. The rest will fail badly.

Read more here.

Using LoRa and Google Cloud for IIoT Applications

Image of a gateway communicating with the cloud on LoRa

Pairing LoRa connectivity with the Google Cloud Platform (GCP) can serve a wide range of industrial IoT (IIoT) use cases. The longevity and resilience of LoRa paired with GCP’s robust architecture and commitment to scalable innovation provides industrial operators with the tools they need to build the world of tomorrow.

Read more here.

 

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