IT in Manufacturing


Industrie 4.0 and the Industrial Internet of Things

July 2014 IT in Manufacturing

Again this year, ‘Industrie 4.0’ was a dominant theme at the Hanover Fair in Germany. It seemed as if every vendor’s stand featured a visible reference and product tie-in to this strategic initiative of the German government that is supported by various related working groups.

We saw large, elaborate production mock-ups illustrating the way products and production robots would someday collaborate to accomplish the required production steps. In some cases, existing solutions were recast as Industrie 4.0 solutions. In other cases, significant technological advances were only revealed in one-on-one discussions at the stand. We also saw demonstration systems that showed how hardware, software, and communications technology can work in concert today to support many of the tenets of Industrie 4.0. Despite this, Industrie 4.0 should be considered an evolutionary journey, not a near-term disruption.

Industrie 4.0 provides a vision of a future factory in which smart products collaborate with smart workstations to move through production in an effective, efficient, and flexible manner. Each unit produced can be personalised and changes can be accepted throughout production. Individual production assets optimise their resource and energy consumption. Top-down planning is minimal, or even unnecessary. And production systems adapt to the needs of humans, instead of vice versa. This vision is still several years from becoming reality, but it’s interesting to note that many of the needed technologies are already available, if not yet in widespread use.

Characteristics of Industrie 4.0 production systems

Among the expectations for Industrie 4.0 are replacing the traditional hierarchical structures common in today’s automated production systems with cyber-physical systems (CPS) or Internet of Things technologies. These changes will enable plants in which products control their own manufacturing process and quality outcome. Some anticipated characteristics of the Industrie 4.0 manufacturing model include:

* Standalone workstations instead of a sequenced assembly line.

* Smart products move autonomously among workstations until their assembly is completed.

* Easy product personalisation.

* Dynamic reconfiguration of production routes to optimise flow.

* CPS/IoT-enabled workstations.

* Smart carriers with RFID (for example) as proxies for smart products.

* Products know what has been done to them and what needs to be done.

* Products communicate with workstations.

* Workstations collaborate with each other and with products.

* Workstations write status updates to products; can change downstream requirements.

* Workstations are outfitted with quality measurement and other sensors.

* Continuous optimisation of energy and resources.

* MES or advanced software monitors sensors, communicates with workstations and products, orchestrates workflow, analyses data and documents, traceability.

* Products may collaborate with humans for special cases, rework, or for manual operations.

* Manual operations are supported with assistive technologies such as 3D visualisation and augmented reality.

Industrial Internet of Things

Many parts of the Industrie 4.0 vision will be enabled by advances in the Industrial Internet of Things, and some of these are already available. People will participate by having access to much more data, better analytics tools and better information, and will increasingly make decisions based on the analysis generated by these resources.

Connected assets and devices

Intelligent connected assets include machines or other assets enabled with sensors, processors, memory and communications capability. These assets may have an associated virtual model and may support software-defined configuration and performance. Eventually, some intelligent assets (work-stations) will operate autonomously in collaboration with products being made and other workstations. Intelligent assets will generate more data and share information across the value chain.

Connectivity infrastructure

The Industrial IoT will offer a multi-layer infrastructure that allows information from products, sensors, devices, machines, assets and other entities to be used by other authorised systems. The glue that links devices to higher layers of the architecture is the connected device management (CDM) platform. CDM platforms, functionality goes beyond simple device connectivity and SIM card management to include device configuration, device management and creating and executing device-level applications.

In addition to the Internet, data communications between the smart assets and other entities will often leverage wireless network technologies such as LTE, ZigBee, Wi-Fi, IEEE 802.15-4, and cloud-based computing infrastructure with storage to accommodate Big Data requirements.

Software and analytics

Powerful analytics and related software will help optimise both production assets and production systems. Predictive analytics will be deployed to reduce unplanned downtime. Newly available information generated by these tools will lead to new, transformative business models supported by new applications. Instead of offering physical products for sale, companies will increasingly offer products ‘as a service’. Over time, new software solutions will emerge to enable the self-organising, autonomous behaviours foreseen in the Industrie 4.0 vision.

Solutions already available

Industrie 4.0 may be seen as an evolution to a new manufacturing architecture, but that doesn’t necessarily mean that manufacturers should take a ‘wait and see’ attitude. Some of the Industrial Internet of Things technologies and solutions are already available and can deliver benefits now. Examples include solutions for well pump monitoring and optimisation, LNG turbine engine condition monitoring, utility meter monitoring and analysis, wind farm power optimisation, mine performance, food safety assurance and water plant remote monitoring and prognostics.

For more information contact Paul Miller, ARC Advisory Group, +1 781 471 1126, pmiller@arcweb.com, www.arcweb.com





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