What’s new about the Industrial IoT?

by Alan Griffiths

Cambashi has just completed a research project into the ‘industrial’ application of the IoT.  The aim was to establish the market’s structure and direction based on interviews with many of the major players combined with desk research.

In the first of six articles to be published in The Manufacturer, Alan Griffiths of Cambashi asks ‘What’s new about the Industrial IoT?’  Subsequent articles will address questions about the Industrial IoT such as ‘Who does what?’, ‘Who pays whom for what?’, and ‘What is the business impact of IIoT?’

 ‘What’s new about the Industrial IoT?’

Many of the technologies that make up ‘Industrial IoT’ are actually well-established in their own right.  The diagram below shows six ‘layers’ that make up what most people consider to be the ‘Industrial IoT’.

The 6 layers of IoT
Figure 1: The 6 layers of IoT

Let’s look at the layers in more detail and see ‘what’s new’ about each one:

  1. Mechanical parts

This can cover anything from vehicles to component parts.  Most publicity has so far been around personal ‘IoT’ devices such as fitness monitors and home appliance controls.  But recent surveys show that the ‘Industrial’ applications of IoT are now growing faster.

  1. Electronics, software, sensors and actuators

These days, every consumer and industrial item with a battery or an on/off switch almost certainly includes software-controlled electronics (this is what makes it a ‘smart product’).  These technologies have been around for decades.  A recent trend is that component providers who offer all the digital metadata that describes their components may well have an advantage at this stage, because the metadata can feed into systems engineering and other tools, thus helping the project team structure, simulate, then plan the development project.  Many teams responsible for control software are used to developing for the closed environment of a standalone machine. Making use of new network connectivity can be quite a disruptive but positive change for these teams.

  1. Connectivity

This is the means by which ‘products’ communicate with the back-end systems and includes a range of methods from ‘proprietary’ to ‘standards-based’.  Of course, it has been possible to connect devices for some time, but historically this has used proprietary, custom-built systems.  Today, cloud computing provides a more convenient and cost-effective way to connect to other systems.

Two other areas where innovation is improving connectivity are:

  • Edge computing – i.e. servers located close to the smart products or factories which act as a ‘collection point’ for the data: because vast amounts of data can be collected from the billions of devices in the field, it makes sense to do as much data processing and ‘selection’ as possible, near to the devices or sensors.  This means that less data has to be transmitted to the cloud and less processing will later be required.
  • Evolving connectivity standards: the Industrial Internet of Things Connectivity Framework (IIC:PUB:G5:V1.0:PB:20170228) from the IIC (Industrial Internet Consortium) lists ten Core Standard Criteria ranging from ‘Providing syntactic interoperability’ to ‘Having readily-available SDKs’.  Against these, it rates four Connectivity Standards – DDS; Web Services; OPC-UA and oneM2M.  Each of these standards is evolving to provide specific advantages in IIoT implementation.  For example, DDS is an emerging, new standard; its main distinguishing feature is that, unlike the other three, DDS has no concept of messages – the software application talks to the ‘databus’ thus providing a more efficient solution when the data has many destinations.
  1. Product Access and Data Routing

Almost every connected product has more than one organisation interested in reading its data, and sending it commands.  The Product Access and Data Routing layer controls and manages who has access to what.  For example, the manufacturer of a machine, and a third party service company may offer machine monitoring, optimisation and predictive maintenance.  What data will they see?  What settings can they change?  If something is changed, who is responsible for documenting the change and matching it to other records of use of the machine (for example, batches of food production)?  Can the machine owner, or a local operator, or an on-site service technician, control this access?  The company which supplied the electric motors inside the machine may offer an automated motor monitoring service.  Who will authorise their computer systems to gather data from the motors?  These data flows form a complex network, but it is worth noting that PLM (Product Lifecycle Management) systems have for many years handled access control to manage these kind of data flows to and from design data.  Repurposing and scaling this to cover all operational machines may not be straightforward, but PLM contains relevant experience of the necessary business logic and procedures.

  1. Product-Specific Software Applications

This is the heart of many new capabilities of smart, connected products.  For example, a new capability to observe and analyse the status of a set of connected devices, and make a plan to operate or service them, will be provided by software in this layer.  This layer also has the vital role of making appropriate connections and integration with other enterprise applications.  For example, an update to embedded software will only be sent to devices being used by customers with a valid subscription – and it is the CRM or perhaps sales order processing system which has this information.

  1. Other Enterprise Applications

MRO (Maintenance, Repair, Operations) may well be the focus of a smart connected product initiative, perhaps a switch from fixing breakdowns to usage-based or predictive maintenance.  But many MRO issues stay the same:  fault handling, whether real or predicted; configuration; part or software availability for fix; schedule technician or online access to product; fix problem, report the fix; share the know-how; customer acceptance.  So the emphasis on the use of tools is probably on tracking orders and configurations, scheduling technicians and parts for maintenance and fault fixing.  Good integration of these applications enables ‘servitisation’ – enabling companies to supplement their products with additional services.

To summarise, ‘smart products’, such as diggers (Komatsu etc.) and industrial machines (Siemens, GE etc.) have been around for 20 years or more.   But these were only used on high-value, long-life equipment.

So ‘What’s new’?

Continue reading on The Manufacturer’s site

Coming up

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6 thoughts on “What’s new about the Industrial IoT?”

  1. Pingback: Cambashi Insights: Who does what in Industrial IoT?

  2. The “Internet of Things” market is currently experiencing a period of rapid growth. I’m sure that in 2018-2019 the number of sensors and devices of the “IoT” will exceed the number of mobile phones and will become the largest category of connected devices.

  3. Pingback: Cambashi Insights: ‘Who Pays Whom for What’ in Industrial IoT?

  4. Pingback: Cambashi Insights: The business impact of Industrial IoT

  5. Pingback: Cambashi Insights: Most-read Insights articles of 2017

  6. Pingback: Cambashi Insights: Trends and innovations in Industrial IoT

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