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Intelligent alarming leverages Industrial Internet of Things to reduce risks and costs

From geo-awareness capabilities to proactive analysis, modern alarming technologies use connected systems layered with new apps to help eliminate alarm noise and confusion while driving the right corrective actions. According to Alicia Bowers, Senior product marketing manager, Automation Software at GE Digital, every organization can manage alarms.

“With intelligent alarming and the Industrial Internet, companies can send the alarms that matter, when they matter, to the right person. Engineers and operators can receive prioritized alerts with instructions, helping them react to and resolve alarms quickly,” Bowers writes in Automation World.

Bowers also says that with intelligent alarming fueled by the Industrial Internet, companies can take all of the raw alarms in underlying systems and apply a level of analytics to them. Read more at http://www.automationworld.com/alarm-management/intelligent-alarming-leverages-industrial-internet-things-reduce-risks-and-costs

Image credit: vectorfusionart / Shutterstock.com

Via Automation World

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  • Babiker Sammbo 24.11.2016 12:01

    A mazing

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Shippers setting sail via Internet of (Floating) Things

According to Donal Power, contributing writer at ReadWrite, “No place on land or sea is safe from being connected. And now it seems the marine industry is at last diving into Industrial Internet of Things (IIoT) with both feet.”

Technology company Ericsson says the marine industry lags behind alternative modes of commercial transport in its deployment of this connected communications and information technology. Shipping companies, however, are increasingly looking to catch up by increasing connectivity aboard ships to allow the sharing of insights in real time and using the data to optimize shipping ecosystems.

Read more at  http://readwrite.com/2016/08/03/marine-industry-belatedly-sets-sail-via-internet-sea-things-tt4/

Image credit: FUN FUN PHOTO / Shutterstock.com

Via ReadWrite

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(Updated: post chat) #IINChat: Edging Industrial Innovation

Thanks to all who participated in our #IINChat with a topic ‘’Edging Industrial Innovation’’ held on the 9th September, 2016. The insightful discussion lasted approximately one hour and provided some notable interesting ideas and clarifications about the use and potential of edge computing and edge networks.

The selected questions were:

  • What are the core benefits of Network Edge for industrial companies?
  • Are there barriers to adapting Network Edge for industrial companies?
  • For those who want to build on already-implemented ideas, what are the best examples of Network Edge that can be applied to heavy industry?
  • What are the biggest problems Network Edge solves in the factory?
  • Which industries are going to be the fastest to implement Network Edge and why?

Notable tweets/contributions to the chat:

Question 1: What are the core benefits of Network Edge for industrial companies?

Question 2: Are there barriers to adapting Network Edge for industrial companies?

Question 4: What are the biggest problems Network Edge solves in the factory?

Question 5: Which industries are going to be the fastest to implement Network Edge and why?

Original Post

The latest #IINChat has been announced for 9 September, 2016 15:00 EET. We wanted to open up the discussion on Network Edge for industry, a subject which has been trending recently in online conversations. Because of the popularity and active participation during the last chat, we have extended the discussion to one hour this time. Join us and submit your discussion ideas using #IINChat or as a comment to this post.

Date: 9 September, 2016 15:00 (EET) – 16:00

Helsinki (Finland)                                                  15:00:00 EEST UTC+3 hours
London (United Kingdom – England)               13:00:00 BST  UTC+1 hour
New York (USA – New York)                               08:00:00 EDT  UTC-4 hours
Shanghai (China – Shanghai Municipality)     20:00:00 CST  UTC+8 hours
Corresponding UTC (GMT)                                 12:00:00

Topic: Edging Industrial Innovation #IINChat.

Example Questions:

  • What are the core benefits of Network Edge for industrial companies?
  • Are there barriers to adapting Network Edge for industrial companies?
  • For those who want to build on already-implemented ideas, what are the best examples of Network Edge that can be applied to heavy industry?
  • What are the biggest problems Network Edge solves in the factory?
  • Which industries are going to be the fastest to implement Network Edge and why?

About #IINChat

Industrial Internet Now’s #IINChat is focused on creating public discussion around Industrial Internet topics for heavy industry and material handling. As always, we are looking for experts and interested specialists to participate in the chat and share knowledge on the possibilities and challenges facing industries, including but not limited to: steel, shipping & ports, pulp & paper, manufacturing, waste-to-energy and automotive. We are also looking for questions and comments from the people who live with the realities of the new, emerging world of the Industrial Internet. As a public chat held on Twitter, anyone is invited to share their thoughts. Welcome!

At the end of the chat session, respondents can see a summary of conversations as an updated version of this post, and can continue the conversation in the comments section. Please also feel free to suggest topics for the next #IINChat.

Here you can find out how the previous #IINChat session went

Industrial Internet Now

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Smart factories offer reliability and improved efficiency

Upgrading a production plant with recycled parts from sister facilities might save money, but it may hurt the communications capabilities down the road, as the parts might not include the sensors needed for making the factory smart.

According to Wayne Perry, Technical director at Kaesar Compressors inc., the benefit offered by smart system controls, is that they ensure that energy-efficient selections are always made to meet whatever the production demand may be. The controls also ensure that maintenance can be done before any problems arise with worn-out parts. To achieve this, the various parts of the facility have to be connected so that analytics can be gathered and combined to improve efficiency.

This can be seen in the case of compressed air. The cost of making the energy for it is often one of the highest a plant has. Through implementing data offered by the increased sensors and the predictive maintenance it offers, disruptions to the compressed air supply can be prevented.

Read more about the smart factory and the benefits it offers for air compression at: http://www.plantservices.com/articles/2016/ca-iiot-comes-to-compressed-air/?show=all

Image credit: nostal6ie / Shutterstock.com

Via Plant Services

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Semantic interoperability opens doors to the digitalized world

A universal IoT standard is yet in the distant future. Dr. Richard Soley, the Executive Director of the Industrial Internet Consortium treats the idea with skepticism. “I’ll be glad to be the first one to say that there will never be a single universal standard,” he states. According to his view, achieving interoperability is a much more important issue to tackle.

“No matter how hard we try, there will not be one standard, because people have different requirements and are trying different things and experimenting in different ways,” Soley argues.

He divides the world of IoT into two stages. The first one is middleware, which is about the input and output of bits and bytes; about moving information around. Numerous standards exist in this stage, and even though they may differ, no standard is necessarily better than the other.

In the second stage the main challenge is capturing the semantics of the different systems. “The question about the semantic representation is actually much harder. Now that you have moved those bits and bytes from here to there, what is it that they’re telling you to do?”

Jet engines, for example, all work the same way but differ from each other in the ways and units in which they capture data. The ability to translate that data – semantic interoperability – is a prerequisite for exchanging information between different machines.

“Achieving interoperability is our main task in the face of that differentiation and diversity between hundreds or even thousands of standards. How to bridge those standards is where we need to focus,” Soley says.

Big data analysis reshapes operations

Increasing efficiency is the most obvious opportunity created by digitalization. Adding sensors to different systems enables access to more detailed information about current processes, which usually results in improving them. The best opportunity, however, lies in finding completely new business models.

“When people buy air compressors, it’s not the machine they want – it’s compressed air. So it makes sense for the manufacturer not to sell the ownership but the outcome. They still install the compressor but maintain control over it and make sure it’s kept in perfect condition keeping the customer satisfied. In this so-called outcome economy, consumers get to buy what their hearts desire rather than machines that make them what they want,” Soley describes.


“Achieving interoperability is our main task in the face of that differentiation and diversity between hundreds or even thousands of standards. How to bridge those standards is where we need to focus.”

Another great opportunity in the world of big data analysis is discovering unexpected correlations that haven’t even been considered before. Furthermore, revealing hidden correlations can help reshape operations in a very concrete manner:

“In Southern Ireland, in one of our smart city testbeds the county’s ambulances are linked to national health data information, but in the future might also be moved to wherever the likelihood of an accident is the highest at the given moment. That’s something you can only do with big data analysis,” Soley says.

The way is paved in testbeds

With digitalization, as with all megatrends, come both opportunities and challenges.

“I think the biggest technical stumbling block at the moment is semantic interoperability especially in terms of analytics. In the past five years we’ve made a lot of progress but there’s still a lot of work left,” Soley points out, and continues: “Starting to create standards at an early stage where you haven’t even actually decided what it is that you’re going to build and which parts need to work together is really kind of crazy. In my opinion, a more fruitful approach is to build testbeds to learn about technologies’ best practices, what kind of analytics is required, how to build interoperability, and so on.”

To some extent, interoperability is sort of what applies to utilizing human resources as well. Fundamentally, harnessing digitalization is a collision between information technology and operational technology. In most companies it means combining forces of people with different kind of skills and competencies.

“In manufacturing companies, CIOs have to be open to finding new partnerships in terms of operational expertise to get a full understanding of how does it all fit together,” Soley says.

Nevertheless, Soley’s most important advice to CIOs as well as CEOs is to start small and with enough patience: “Don’t go and try to boil the entire ocean at once. Choose an application, start collecting sensor data, find out what it means and how it’s going to affect your operations. That’s what testbeds are for. Once you’ve done that, you can start building out across your operation and business, integrating information from unexpected sources and finding unexpected opportunities for your business.”

Trying to solve every possible issue at once is unlikely to pay off. Instead it may lead to a situation that Soley refers to as “analysis paralysis where you’ll try to analyze every single thing you do”.

Ultimately, just getting started is what matters. “For the CEO of the company I would say that digitalization is going to transform everything from business and manufacturing to transportation and healthcare – and this includes your industry too,” he concludes.

Dr. Richard Soley works as the Executive Director of the Industrial Internet Consortium, an international organization developing Industrial IoT testbeds; and CEO of the Object Management Group, a developer of semantic standards for industrial IoT.

Image credit: Christian Lagerek / Shutterstock.com

Interview w/ Richard Soley

2 Comments

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  • Abhijeet 08.10.2016 04:47

    interested to join

  • Abhijeet 08.10.2016 04:42

    please add me..shall be interested

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