4 ways the Industrial Internet of Things can enable digital transformation

Disclosure: This post was previously published on Atos Ascent and was co-authored by Mr. Andrea Sorrentino (who wrote a significant part of the text below) – minor format and content edits have been applied to fit it to this website.

Today the manufacturing industry faces one of the biggest challenges in modern times: how to embrace the next industrial revolution. The technological disruption which has arisen from “Industry 4.0”, the current trend of automation and data exchange in manufacturing technologies, has drastically changed how we see the world today. Moreover, the highly competitive landscape poses urgent questions of change management that manufacturing companies need to address quickly.

Nowadays, in a more inter-connected world, companies need to adopt the right tools to get closer to the market and become more competitive. The manufacturing industry needs to adopt big data to innovate, to optimize their processes, and improve yields. But how should managers approach this technological revolution and work towards creating a smarter factory?

Machinery performance can now be measured with small sensors connected to the internet, monitoring where efficiency can be optimized. For example, workers will be able to foresee machinery malfunctioning, and intervene in a timely manner. Gartner’s latest forecast predicts 20.4 billion things will be connected by 2020, which will completely change the way we work in several sectors. In the meantime, machine-to-machine communication is fast becoming a reality, and the Internet of Things (IoT) represents only the first step in that process. In this post, I look at four ways in which managers in the manufacturing industry can exploit IoT solutions for commercial benefits:

1. Understand how your company can profit from IoT solutions

Industrial standards for IoT are still not clear, in part due to the wide range of flexible solutions that can be developed in any industry. Factory and operations managers need to define a series of objectives to understand how best they can benefit from connected devices. This is because while it is relatively easy to collect data, it is difficult to understand how to cluster it to avoid complexity in analysis. It is key to define first what type of data can be useful to increase efficiency, rather than trying to analyse huge amounts of data which is not necessarily relevant. By honing in on the aspects which will make the most difference to the business, in terms of profit, subsequent analysis becomes much simpler.

2. Clarify your security strategy

Security is a fundamental aspect to take into consideration when adopting any IIoT (The Industrial Internet of Things) solution. Consumers still hesitate when purchasing IoT products, in part due to safety and privacy concerns. Similarly, manufacturers are hesitant to adopt IoT solutions since data and app platforms can be subject to cyber-attacks as well. Operational processes and risks need to be coordinated around these safety issues, a topic Atos explored in their Journey 2020 report.

The IIoT is fundamentally changing the cyber-security landscape; the old logic of go-to-market quickly to gain market share over competitors does not apply anymore. Any device connected to the internet can become a weapon for hackers, and IT companies need to effectively secure their infrastructure before delivering to clients. Having real-time security analytics and a cyber-resilient system are essential when deploying IIoT solutions to protect against any potential attack.

3. Consider sustainability

Sooner rather than later, companies need to consider how they will ensure that their IoT solutions remains sustainable i.e. future proof. Their IoT strategy needs to define, among other things, what type and the expected amount of data they need and how to manage it effectively to minimize potential negative impacts. It is also crucial to understand how to manage potentially millions of connected devices, and how to build a scalable and reliable, distributed computing environment around the production factory.

Sustainability in the sense of Corporate Social Responsibility (CSR) also offers opportunities. It is currently one of the hottest topics in the manufacturing industry. The adoption of sustainable strategies is something many manufacturers are beginning to take into consideration, since brand reputation depends on companies working to reduce the level of emissions and waste they generate.

IIoT will enable the creation of what researchers have termed a ‘circular economy’; the concept that puts re-usability and recyclability at the center of any type of process. Through IIoT solutions, managers will be able to extend the lifespan of machinery, thus cutting energy costs. Therefore, the development of smart-factories would likely result in a more ecological manufacturing industry, thus drastically reducing the impact of industrial processes in the environment.

4. Get out of your comfort zone

The industry is still in an early stage when it comes to IIoT adoption, but some pioneers are taking steps to ensure they are future leaders of the industry 4.0 era. The opportunity is out there, and decision-makers need to act rapidly to advance in this next wave of technology change.

It is fundamental to assess your own capabilities and role within the IoT ecosystem: will you push data or will you pull data? In a push model, you need to look at the smartness of your devices and data platform. If you pull data you need to look at your data analytics capabilities so you know when to ask for data and what data you need. Companies cannot bear the risk connected to data management for the entire production chain, therefore, it is necessary to build a partner ecosystem of buyers and vendors that co-operate for creating secured, efficient and scalable end-to-end solutions, leading to real added value in the production chain.

Internet of Things : My disappointment(s) with the Fibaro HomeCenter 2

Recently I started investigating and investing in Home Automation. I feel the market is readying itself for mainstream and some interesting products are now available. It started with me buying a set of Philips Hue light-bulbs, a motion sensor and a Raspberry Pi. Connecting these devices with the help of existing apps and some tinkering with open source ‘Home Assistant’ and ‘Home Bridge’ allowed me to create simple automation scenes and use Siri to set the lights in the living room and hallway.

This first success led me to think I could take the possibilities inside my house to the next level; I researched extensively possibilities of various Home Automation platforms. In Europe there are various systems available. In the end I decided for the Fibaro Home Center 2 system. Based on Z-Wave technology, which allows 2-way communications between central hub and device, with a mesh network to combat low connectivity situations it seemed the right choice. Fibaro also has a ‘Light’ version of this hub, but I wanted to have some serious strength running my IoT platform so opted for the strongest system. It also promised interconnection with my Hue, SONOS and (upcoming) Alexa systems, so I was really excited to get started.


Fibaro's compatibility claims
Source: https://www.fibaro.com/en/compatibility/

It turned out to be a terrible disappointment.

Before I describe my activities that led me to the final conclusion, there are a few things to note:

  1. There are 4 ways to access devices and sensors in the Fibaro system:
  • A simple panel that shows an on/off or volume/brightness slider.
  • Through a magic scene creator that works with simple colored boxes that allow you to do an IF…THEN scenario
  • A more complex colored boxes interface that allows more variables
  • The LUA programming language

Fibaro Colored Block 'programming'
Source: http://www.5smart.ru/page/kak-rabotaet-umnyy-dom

  1. I researched everything, I have seen more YouTube videos than I care to remember and have seen more programming examples that I wished for. I took a quick course on LUA programming.
  2. I am not stupid with DIY projects in house; electric cabling, switches, dimmers and wiring. Most of this stuff I have done in the past on my own. I understand the color coding of wires, the difference between Ground and Neutral and have had my fair share of accidentally touching a Live wire (at least once in a person’s live…).

Let me first give you an overview of my purchases from the local Domotica Shop in the Netherlands:

  • 1 Fibaro Controller Home Center 2
  • 3 x Fibaro Module Dimmer 2
  • 1 x Fibaro Module Switch Single
  • 1 x Fibaro Module Switch Double

btw: these things are not cheap so I really researched (at least so I thought)

Secondly I will go into the various activities I undertook to get this box running the things I wanted.

Connectivity with Philips Hue lights and sensors

As far as I have researched it, there is no out of the box support in Fibaro for Philips Hue. There is the possibility to download a virtual device component that will connect to the individual Hue lights. Unfortunately this means I was unable to address the Hue lights in the visual programming interface of the Fibaro (a colored block system) and can only address the lights through the programming language LUA. This was a major set-back as I was let to believe integration between Hue and Fibaro would work out-of-the-box.

The Hue sensors such as the motion sensors and dimmers are not accessible through the Fibaro; maybe they could be accessible through the LUA programming interface, but I found no evidence for that.

Instead of being able to address the Hue lights in the ‘Magic Scenes’ or the ‘colored boxes’ interface, I had to install virtual devices using the Philips CLIP API Debugger. This would give me the API Access code that could then be used to activate the virtual devices. After that the virtual devices would become accessible in other code, that I had to write for the scenes. Are you still there?

Due to the lack of access to the Hue sensors, I would have to rely on the Fibaro sensors, which I hoped not to (to be honest I knew upfront that the ‘rely-on-Hue-sensors-part was going to be tricky as they do not support the Z Wave protocol in use by Fibaro).

Conclusion: Could work, but would need a serious amount of manual programming

Connectivity with SONOS

I have 4 SONOS loudspeakers. 2 are connected in a stereo pair. One other is in the kitchen and one is upstairs in my study.

Fibaro shown as connected to SONOS
Source: https://www.fibaro.com/en/why-fibaro/

There was no out-of-the-box connectivity with the SONOS system. It required the download of a virtual device (remember those?). As a result I managed to connect to 1 SONOS loudspeaker. It became clear that I had to download a virtual device for every loudspeaker separately. After doing this I was able to start/stop the music and volume of 1 speaker. The others were not responsive. And the stereo-pair was nowhere to be found in the system. Moreover, if the one that worked had no active playlist, it would not do anything.

By now you will have guessed that no devices were easily accessible; all the work had to be done through the LUA programming language.

Conclusion: Could work, but would need a serious amount of manual programming.

Installation of Fibaro modules

So, as it turns out Fibaro on/off switches need power; makes sense right? As a result installing switches behind a light switch can only be done of the box behind the switch carries not only a live wire (brown), but also a neutral wire (blue). It turns out that that is not the case in my house. Maybe more modern houses have this or maybe in other countries, but my house is 28 years old and only has a brown (Live) and black (Switch) cable.

Luckily, Fibaro has a module called Dimmer 2, which can be installed if the neutral (blue) wire is absent. So all is well, no unfortunately not. The switch-boxes in the wall of my house are not deep enough for the combo of a light-switch and a Fibaro module. So I hunted the local DIY market for light switches with a very small footprint and with some clever wire maneuvering was able to fit everything, very snugly, into the switch-box. Following that I connected the module to the Fibaro controller and, voila, I could remotely operate the lights. Alas, the physical switch was not working anymore, which would really not make my wife very happy. I checked the wiring, looked at another 4 YouTube videos (warning, look at installation for “Dimmer 2”, otherwise you will get really confused).

Conclusion: Could work if your house is built to fit Fibaro or you do not mind some reconstruction of wall-mounted switch-boxes (including drilling new holes and putting in new wiring).

Conclusion and words of warning

I have no doubt that the Fibaro system will work, once you get the switches, dimmers and specific other Fibaro modules installed; but this fairyland only exists on the various Fibaro websites. No real life scenario worked for me. Existing wall-switches, existing Hue system and existing SONOS speakers could only be installed with great cost, either in time or with additional investments and serious physical changes in my house. I do not believe that house automation should go hand in hand with yielding a jackhammer to replace switch-boxes.

in conclusion, device-by-device:

  • SONOS – no out of the box support of a SONOS system – no visibility in the graphical scene creator
  • Hue Lights – no out of the box support of a SONOS system – no visibility in the graphical scene creator
  • Hue Sensors – no support
  • Fibaro Modules – not working in my electrical system

And a word of warning: the Fibaro website mentions interoperability with Apple HomeKit. This is only true for a very limited set of Fibaro modules/devices; a smart power-plug, a motion detector, a flood sensor and a door/window sensor.

So at the end of a week with not so much sleep and a lot of learning of new things, I concluded that this (rather expensive) set up was not for me and as a consequence I have requested the seller to take it all back; I hope they agree that this was a bust.

PS. I still have my Raspberry Pi running with Home Assistant and Home Bridge. I am very proud to show the Siri integration with the Philips HUE lights, the SONOS Speakers, the Honeywell EVO home heating system and the NEST smoke & CO2 detectors. At least some systems do work in my house, and at a fraction of the cost.

3 times news: Website – Hosting – WordPress

cropped-j0390061.jpgLast couple of days I moved my website from TypePad to a self hosted WordPress site. I have chosen “GeneratePress” as my theme and have purchased their Premier Plugin pack to do some cool stuff in the design.

I am still experimenting so you can expect some changes, none of which I can guarantee to be permanent. It is great to have the ability to experiment and see how things work out.

I must say it feels good to be much more in control. TypePad became a bit frustrating.

Anyway, let me know if you have comments.

Test of Plantronics Voyager Legend bluetooth headset and Windows Phone

This is just a quick post to let you know that I recently tested the Plantronics Voyager Legend with my Lumia 930 Windows Phone (running Denim). I am glad to report all functions work out of the box:

  • Bluetooth pairing
  • Voice control
  • Full Cortana integration
  • Caller ID announcements when receiving a call

So all-in-all I am very happy with my choice. More test results after some road tests in the coming days.

 

Curiosity drives cloud computing

I like asking questions and I like getting good answers even better. It is because of that, I now have a love / hate relationship with search engines. Most of the time they give me a 50% answer, a kind of direction, a suggestion, a kind of coaching to the real answer. It is like the joke about the consultant; “the right answer must be in there somewhere, because he or she gives me so many responses”.

PH03797IIn spite of all kind of promises, search engines have not really increased their intelligence. Complex questions with multiple variables are still nearly impossible to get answered and the suggestions to improve my question are mostly about my spelling or because the search engine would have liked a different subject to be questioned on.

So nothing really good is coming from search engines then? Well most arguably search engines have brought us cloud computing and a very powerful access to lots and lots and lots of data, otherwise known as ‘the world wide web’.

No wonder I envision that powerful access and cloud computing are the two most important values we want to keep while increasing the capacity and intelligence to do real analytics on large data sets.

In a whitepaper of the Atos Scientific Community, these 2 elements are explored in great depth:

  • Data Analytics needs cloud computing to create an “Analytics as a Service” – model because that model addresses in the best way how people and organizations want to use analytics.
  • This Data Analytics as a Service – model (DAaaS) should not behave as an application, but it should be available as a platform for application development.

The first statement on the cloud computing needs suggests we can expect analytics to become easily deployed, widely accessible and not depending on deep investments by single organizations; ‘as a service’ implies relatively low cost and certainly a flexible usage model.

The second statement about the platform capability of data analytics however, has far reaching consequences for the way we implement and build the analytic capabilities for large data collections.

Architecturally, and due to the intrinsic complexities of analytical processes, the implementation of DAaaS represents an important set of challenges, as it is more similar to a flexible Platform as a Service (PaaS) solution than a more “fixed” Software as a Service (SaaS) application

It is relatively easy to implement a single application that will give you an answer to a complex question; many of the applications for mobile devices are built on this model (take for example the many applications for public transport departure, arrival times and connections).

This “1-application-1-question” approach is in my opinion not a sustainable business model for business environments; we need some kind of workbench and toolkit that is based on a stable and well defined service.

The white paper describes a proof of concept that has explored such an environment for re-usability, cloud aspects and flexibility. It also points to the technology used and how the technology can work together to create ‘Data Analytics as a Service’.


This blog post was previously published at http://blog.atos.net/blog/2013/03/25/watch-this-space-curiosity-drives-cloud-computing/


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