Industrial Internet of Things in the 5G Era: Transforming Manufacturing Communications and Real-Time Operations

The convergence of fifth-generation wireless technology with Industrial Internet of Things represents a paradigm shift that fundamentally redefines...

IIoT (Industrial IoT) and Industry 4.0 – Examples

By connecting and integrating machines and facilities with complex IT systems, IIoT and Industry 4.0 offer new possibilities...

Real Time 101 – The Basics

IT systems are increasingly becoming more intelligent, networked and autonomous. This digital transformation not only makes a company’s...

What is Digital Twin Energy Management and Why is it Important?

Disruptive technologies have taken the world by storm, and businesses have responded by undertaking digital transformation journeys in...

The Bullwhip Effect: Solutions to Tame the Chaos

The bullwhip effect describes a phenomenon in supply chain management. It illustrates how fluctuations in orders increase in...

Assembly Control with the Manufacturing Integration Bus

How can robots and other automated components of a plant be efficiently controlled in a heterogeneous IT environment...

e-works Industry 4.0 visit to SEEBURGER

The Chinese delegation from e-works visited Bretten on 1.4.2019. As part of their Industry 4.0 company visits, a...

Collaborative product development and data exchange in mechanical engineering and other technical industries

Globally operating companies with development and production sites distributed around the world as well as respective partner networks...

Why Integration Platforms are the Central Hub for Smart Services

Smart Services are becoming more and more important throughout the entire product life cycle of mechanical engineering. As...

Information Security in Mechanical and Plant Engineering

Information security in data exchange and integration along the entire value chain in mechanical and plant engineering presents...

Industrial Data Integration – Aggregation and logging of industrial process data by integration of heterogeneous data streams

The integration of the heterogeneous data streams generated in industrial processes enables the optimization of added value. Aggregation...

Interoperability – a core requirement of industry 4.0

On the road towards Industry 4.0, companies modernize their IT infrastructure and the digitalization of business processes to...

Is Your Track & Trace Solution Real-Time or a Waste of Time?

Tracking and tracing parts throughout the automotive supply chain used to be a case of ship and forget...

Trading on Hyperliquid: The Future of High-Efficiency Markets

The financial markets are undergoing a silent revolution as next-generation platforms redefine what's possible in trading execution. Trading...

Why Your Supply Chain Needs Real-Time Data

Progressive digitalisation has meant that we require – and expect – far more of our supply chains these...

Using Real Time Data in Smart Manufacturing

We are currently in the fourth industrial revolution, which is characterised by widespread digitalisation and connecting all manner...

Showing the invisible: Using Fischertechnik Models to Make the Integration of Industrial Processes Visible

In contrast to the majority of applications, software used in data integration often doesn’t have a nice, intuitive...

Digital Value Chains are Transforming B2B-Integration – From EDI to IDS?

Digital transformation is changing the entire value chain. Data is increasingly becoming a commodity. As data-driven business models...

Communication Standards in IoT and IIoT

For seamless communication between applications, devices and machines and with corporate IT systems, a uniform communication basis is...

The Bullwhip Effect: What Is It and What Causes It?

Let’s start with a question. What is the connection between a bullwhip and a supply chain? It sounds...
  • William
  • Blog

Showing the invisible: Using Fischertechnik Models to Make the Integration of Industrial Processes Visible

In contrast to the majority of applications, software used in data integration often doesn’t have a nice, intuitive user interface, rather tends to work silently and invisibly behind the scenes. This doesn’t bother seasoned users, but does mean that people who aren’t ʽin the knowʼ find it difficult to get to grips with data integration topics. However, for data integration in industrial processes, using fischertechnik or Lego to make working models can make complex, abstract concepts visible and tangible. This approach has further interesting advantages, as can be seen in this blog post.

KoKoMo Research Project

This approach has also been used in the research project KoKoMo, the results of which have been showcased in a SEEBURGER blog series, ending with this post.

Working models of collaborative assembly

In collaborative assembly, the human machine interface (HMI) plays a special role both in regard to hardware and software. Using a simplified fischertechnik model such as in figure 1, can make basic elements of a human robot collaboration tangible. The two axis robot with a pneumatic grabber arm can take components (the yellow cylinders) from a store to the workstation, hold them in place while they are being worked on, and then put them back.  The photocells used to locate the components are the sensors being integrated. The interface between the robot and the worker is reduced to a minimum, consisting of a status lamp for the robot and a physical button which the worker presses to confirm that machining has been completed.  This mini manufacturing facility is controlled by two fischertechnik robotics TXT controllers, which behave like the programmable logic controllers (PLC) found in a real factory.

Figure 1: Using a simple Fischertechnik model to show basic elements in a human-robot collaboration

Running integration software on an OPC-UA set-up

The controllers (see figure 2) have a number of interfaces including Bluetooth and infrared, and the largely free structure of their linux-based systems offers you many more possibilities.  As the reason behind building this working model was to try out real industrial protocols, it also has a raspberry pi connected which, together with the Python module ftrobopy, allows the Python code for the robot to run on the fischertechnik robotics TXT controllers.

Figure 2: A controller with several interfaces, including Bluetooth and infrared

The main component of this integration solution is a Milo based OPC-UA server. As a result, this whole set-up can be controlled via OPC UA and can enjoy the benefits of this standard, including the integrated security features.  These include a guaranteed end-to-end connection to the manufacturing servic bus as well as monitoring options for the connection to OPC-UA server. The video stream from the camera attached to this fischertechnik model can also be used for monitoring purposes. Figure 3 shows a simple diagram of the information architecture of our set-up.

Figure 3: Information architecture of a mini OPC UA setup for collaborative assembly

Manufacturing service bus and monitoring

With the help of its OPC UA adapter, the SEEBURGER Business Integration Suite takes on the role of the  manufacturing service bus. In true industry 4.0 style, jobs can be sent to our working model from other systems in the company. From the other side, the full status of our mini system can be monitered and evaluated almost in real time by directly or indirectly accessing the  OPC-UA server. The wealth of possibilities offered here are set out in the article Industrial Data Integration – Aggregation and logging of industrial process data by integration of heterogeneous data streams.

What’s the point of a working model?

The sooner a problem is discovered during development, the less likely it is to derail the entire project. As well as using the current approaches such as simulation, building miniature working models such as the one showcased here can making an important contribution. They would also be beneficial for trade fairs and similar. A particularly interesting area would be the possibilities such a working model would offer in education, including in degree courses and specialist corporate training. Considering that there are currently  around 80,000 unfilled engineer positions in Germany, Fischertechnik and Lego robotics systems could also help get children and young people excited about technology and give them their first taste of the world of programming and software development.

Incidentally, the author’s 12 year old son made a not insignificant contribution to the iterative development of this Fischertechnik demonstration model, having a lot of fun in the process.

Further information

d1g1tal AGENDA No. 10 2019/2, pages 18-21: Simulating – fischertechnik


Source: https://blog.seeburger.com/showing-the-invisible-using-fischertechnik-models-to-make-the-integration-of-industrial-processes-visible/

Inline Feedbacks
View all comments
guest