Vortex Edge PMQ featured at the 2017 Industrial Summit in Taiwan

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ADLINK and PrismTech presented the Vortex Edge Predictive Maintenance & Quality (PMQ) at the Intel Industrial Event held in Le-Meridien, Taipei on July 18, 2017. The event showcased various Industrial IoT applications and demos from robotics and automation, to asset and logistics management.

Both ADLINK and PrismTech team featured a Conveyor Belt system that detects excessive weight, abnormal temperature and vibrations that are usually early symptoms of a potential asset problem. The conveyor belt system includes weight, temperature and vibration sensors that feed data into the Vortex Edge Smart Gateway – a small footprint ruggedized computer that is preconfigured to support asset data capture and PMQ results deployment at the edge, especially within harsh environments.

“It’s been such a good experience to meet many people from different IIoT areas and presenting our amazing technologies such as the Vortex Edge PMQ. I’m excited that this will be a good start to collaborate with many key players in the Industrial IoT space particularly in Asia.” says Janet Peng, Account Manager (APAC) at PrismTech.

PrismTech in collaboration with ADLINK, IBM and Intel developed Vortex Edge PMQ – a fully integrated hardware, data connectivity and predictive analytics solutions that addresses the challenge on predicting and identifying system problems that can cause disruptions and unplanned downtime.

Since its launch in October 2016, the Vortex Edge PMQ has gathered significant interest from businesses within manufacturing and logistics industry. Following the success at the Intel Industrial Event, PrismTech and ADLINK will be showcasing the Conveyor Belt demo at the VM World events in Las Vegas, Nevada (USA) and Fira, Barcelona (Spain). The details of these events will be announced shortly.

For more details about the Vortex Edge PMQ, contact PrismTech

PrismTech Predicts Edge Computing, Next Generation Smart Gateways will Come of Age to Enable the Industrial Internet of Things in 2017

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Mainstream adoption of edge computing and the advent of second-generation smart gateways are among PrismTech’s top predictions for the Industrial Internet of Things (IIoT) in 2017.

Steve Jennis, SVP and Head of Global Marketing for ADLINK and PrismTech, compiled the list based on his extensive knowledge of IIoT users, vendors and technologies, as well as through his collaboration with peers in industry initiatives such as the OpenFog Consortium, the Edge Computing Consortium, Open Edge Computing, the Industrial Internet Consortium® and the Object Management Group®.

Jennis predicts that:

  1. Edge computing will become a mainstream term for IIoT systems.
  2. Edge computing will be recognized as the solution to fixing the shortcomings of M2M for IIoT (latency, resilience, cost, peer-to-peer, connectivity, security, etc.).
  3. Real-time (edge) analytics and IT/OT security become two of the key drivers for new IIoT platform/infrastructure deployments.
  4. IT departments will exert more and more influence over the requirements for OT systems connected to corporate IT systems or the Internet.
  5. The Edge will become the vendor battleground in IIoT markets between traditional CT, IT and OT vendors.
  6. Users will move from tactical to strategic IIoT thinking as previously deployed point-solutions (e.g. most M2M systems) reveal more and more functional limitations and IT management issues.
  7. Major IT systems integrators will begin to offer “managed solutions” for edge computing in addition to their “managed services” for cloud computing.
  8. Interoperability and legacy integration problems will be reduced with connector technologies, data normalization and shared micro-services delivered in/on “smart gateways”.
  9. Second-generation IIoT smart gateways (software-defined with on-board IIoT software stacks, connectivity and shared services) will quickly render first-generation (hardware-defined) M2M gateways obsolete.
  10. Security at the edge will be positioned as an IT/OT firewall. The potential for hacking OT systems, possibly through IT connections, is increasingly becoming a concern. Edge computing appliances will serve as the IT/OT firewall.

“Today’s trends show that the term ‘Edge Computing’ will continue to grow in usage and come to represent most implementation scenarios for the IIoT,” Jennis said. “The addition of new capabilities ‘at the edges’ of OT systems, IT systems, the Internet and cloud services will come to define the evolution of the IIoT and its new business value-add.”

“Next-generation smart gateways and industrial servers will supply the edge platforms to support the demands of the IIoT. These gateways and servers will host the software stacks that enable data connectivity from the sensor to the cloud, while also supporting edge compute and intrinsic security,” continued Jennis. “They will thus support fog computing architectures where applications can add-value at the most appropriate place in an end-to-end IIoT system: at the device, on the edge appliance, or in the IT/cloud environment. This multi-tiered architecture will come to define the IIoT and provide the ubiquitous (and secure) data accessibility and distributed systems capabilities needed to support new vertical solutions in, for example, smart factories, intelligent transportation systems and integrated healthcare systems.”

As an example of this trend PrismTech’s newly announced Vortex Edge PMQ (http://www.prismtech.com/vortex/vortex-edge-pmq) leverages best in class IIoT edge computing, connectivity and predictive analytics technologies to provide real-time device-edge-cloud connectivity.

Getting Smarter at the Edge

With over 2 billion people around the world now users of a smartphone, we have more computing power than ever right at our fingertips than ever before. Our cars, houses, factories, cities, etc. are all becoming smarter too. With all of this distributed computing power and applications, we’re producing and consuming vast quantities of data … but are we using this data effectively?

As systems grow in complexity and the number of connected devices/sensors increases, so too does the sheer volume of data produced. That is a lot of (potentially sensitive) data to be sending to the cloud to be analyzed for faults/abnormalities. Then there is the issue of network connectivity: what if the network goes down? What if the latency is too high for the safety/mission/business critical scenario? There are many single points of failure in a cloud-reliant solution. Local computing is therefore still vitally important to many industries, but this data still has value. Aggregating this data at the edge for cloud analysis is one way in which companies can derive massive business benefits without overburdening network communications. This aggregate data can be analyzed for insights, and results deployed back down to the edge.

Automation is an area in which edge computing plays a vital role: when you need an action to be taken immediately should something happen; you require a low-latency instantaneous response. Running edge based analytics enables companies to perform reactive, predictive, and prescriptive actions in real-time with no bandwidth costs or WAN networking issues to worry about. Automating decisions at the edge enables geographically isolated systems to benefit from big-data analytics without requiring high-bandwidth, low-latency connections to the cloud.

Edge computing is enabling many areas of high interest: self-driving cars, factory automation, autonomous drones, predictive maintenance, and the list keeps growing. Unlocking the potential of the ever-growing volume of data being produced means greater efficiency, more effective and timely actions, and valuable insights.

The recently announced Vortex Edge PMQ solution utilizes the power of PrismTech’s Vortex data-connectivity software, ADLINK’s ruggedized industrial hardware, and IBM’s advanced Predictive Maintenance and Quality analytics. Vortex Edge PMQ provides an edge analytics solution designed for Industrial Internet of Things environments where cloud computing access may be limited or otherwise not desired.

For a more detailed look at Vortex Edge PMQ and implementation examples, visit http://www.prismtech.com/vortex/vortex-edge-pmq