fischertechnik Training Factory Industry 4.0, 24V

pre-assembled training model



Product Description

Digitized learning and simulation model for industry 4.0 applications     

The fischertechnik learning environment is used for learning and understanding industry 4.0 applications in vocational schools and training as well as for research, teaching and development at universities, in companies and IT departments. The simulation depicts the ordering process, the production process and the delivery process in digitised and networked process steps.

The digitally driven transformation in industrial production has resulted in a closer networking and an advanced information flow on all production levels. The fischertechnik Learning Factory 4.0 mediates the digitalisation activities by simulation and applied learning to be able to find implementation in major style. The fischertechnik Learning Factory 4.0 is a highly flexible, modular as well as economical and robust training and simulation model.

  • Training and simulation on a realistic production model as well as in-depth learning through haptic comprehension
  • Optical and sensory applications and Digital traceability with NFC/RFID
  • Integrated cloud connection, control via smart devices as well as using and operating dashboards
  • Web-based remote maintenance as well as linking of production and materials planning data
  • Connection of upstream and downstream logistics processes


 Technical data for the pre-built model, 9V   

Size of packaging 97.2 x 77.2 x 40.2 cm
Weight 24,000 g
System prerequisites of software Windows 7, 8 or10
Power supply system (Battery) 3x power supply Art.-No.: 505287 (9V/220V)



Recommended add-on:  the storage and transport case .   Please order separately.



This consists of the factory modules: 

  • storage and retrieval stations,
  • vacuum suction pads,
  • high-bay warehouse
  • multi-processing station with kiln,
  • a sorting section with colour detection,
  • an environmental sensor and
  • a pivoting camera.

The process:

  • After the order has been placed in the dashboard, the workpieces pass through the respective factory modules and the current status is immediately visible on the dashboard.
  • The integrated environmental sensor reports values for temperature, humidity, air pressure and quality.
  • The camera sees the entire system through the vertical and horizontal pan range and can thus be used for web-based remote maintenance.
  • Individual workpieces are tracked using NFC (Near Field Communication): A unique identification number (ID) is assigned to each workpiece. This enables traceability and visibility of the current status of the workpieces in the machining process.


Environmental Sensor

Environmental influences play a significant role in a factory: So, the humidity and air temperature can make an impact on sensitive technologies, the air quality and the air pressure can severely impair the functioning of the employees or even promote it.

These values are recorded in the Learning Factory 4.0 by the fischertechnik environmental sensor and communicated to the fischertechnik cloud via TXT controller to then be analysed on the dashboard.


USB Camera

An automated production facility demands the potential of remote monitoring: Highly specialised qualified people are often necessary to identify the source of error in a fault. The qualified person can see the entire facility through remote access, using the USB camera and locate the problem. The fault can be eliminated in this way in communication with the workers on site, without requiring the qualified person to be present locally.


Traffic Light

In order to visualise the faults in the modern production facility, traffic light-like lights are mounted: The current status of the Learning Factory 4.0 can be identified at the first glance. In this, the green light stands for undisturbed production, a yellow light for a fault and a red light for the stop of production.
Mounted centrally, the traffic light thus helps to quickly identify and rectify problems.


WLAN router

The communication between TXT controllers, fischertechnik cloud and the dashboard requires a connection to the internet, which is why the fischertechnik Learning Factory 4.0 has at its disposal its own WLAN router and hence, its own WLAN network.


Calibration station

The production module suction gripper can be oriented in the Learning Factory 4.0 through the calibration station in a very straightforward way and without any programming effort: A simple joystick controls the suction gripper. In this way, effective working is implemented, without having to take heavy time losses and expenses in troubleshooting.




The learning factory 4.0 is controlled by the 9V-based fischertechnik TXT controller; its six units are installed.

These are networked within the factory and communicate with each other via MQTT. MQTT (Message Queuing Telemetry Transport) is an open message protocol that enables the transmission of data in the form of messages between devices. The most important features are:

  • Dual processor: ARM Cortex A8 (32-bit/600MHz) + Cortex M3
  • Storage capacity: 256 MB DDR3 RAM, 128 MB Flash
  • Storage extension: Micro SD card slot
  • Display: colour 2.4” touch display (320x240 pixels)
  • 8 universal inputs: Digital/analogue 0-9VDC, analogue 0-5 kΩ
  • 4 quick counter inputs: Digital, frequency up to 1 kHz
  • 4 motor outputs 9 V/250 mA (maximum: 800 mA): Infinitely variable speed, short-circuit-proof, alternatively 8 individual outputs, e.g. for lamps
  • Combined Bluetooth/WiFi wireless module: BT 2.1 EDR+ 4.0, WiFi 802.11 b/g/n
  • Infrared receiver diode
  • USB 2.0 client: Mini USB port for connection with the PC
  • USB Host port: USB-A port for fischertechnik USB camera, USB sticks, etc .
  • Camera interface: via USB host, Linux camera drivers integrated in the operating system
  • 10-pole pin row to increase inputs and outputs as well as I2C-port
  • Integrated loudspeaker
  • Integrated real-time clock with replaceable buffer battery for recording the measured values in a defined period
  • Linux based Open-Source operating system
  • Programming possible with ROBO Pro, C-Compiler, PC-Library, Scratch 3.0, etc .
  • Power supply: 9V DC 3.45 mm port, or fischertechnik 2.5 mm ports

Software: C/C++ API programming interface

Training Factory Industry 4.0 API reference C/C++ library

Introduction TXT Web Server 

The software application is written in C/C++ and is loaded on the controller in the ready-to-start status. The corresponding C/C++ library and the API are published on Github:

This library can be used to write customised C/C++ programs for the learning factory.

The connection to the fischertechnik cloud is established via the WiFi router supplied and integrated into the learning factory.

We recommend using the web browsers such as Chrome or Firefox. The cloud can be used via a personal access that is created once ( The cloud servers are located in Germany and ensure that strict European requirements regarding the storage of data are applicable. Personal data is protected in an account with password access that uses extremely secure "OAuth2" industry standard. All data sent to the cloud is transmitted encrypted with certificates (https standard, green lock in web browser).


Dashboard on fischertechnik cloud

The dashboard can be accessed and operated via mobile devices such as tablets and smartphones as well as laptops and PCs. It enables platforms to be displayed from three different perspectives:

  • Customer view
  • Supplier view
  • Production view


1)  The customer view shows a webshop interface with a shopping cart, where you can order a workpiece and track the current status of the order in the shopping cart. This process is displayed on the interface for the customer so that he/she is informed about the status of his/her order.

2)  The process of ordering the raw material is displayed and visualised in the supplier view.

3)  The factory status, the production process, the stock, the NFC/RFID reader and the sensor values can be queried in the production view. In addition, the camera that monitors the production line can also be controlled here. All these functions are controlled within a window and actuated via the menu.

  • In Factory status, the status of the respective module is visualised via a traffic light display. If a fault occurs in production, it is acknowledged via a button after the cause has been rectified and production is continued.
  • The individual manufacturing steps are visually simplified using connected nodes and represented in the Production process view. The currently active node (= production module) lights up green or red when the respective process step is being processed live or there is an error and is waiting to be corrected.
  • The Inventory production view visualises the current inventory of workpieces including minimum and maximum stock.  A reorder point procedure is stored. This production view is used exclusively for visualisation.
  • The production view of the NFC/RFID reader displays the workpiece data and can be used to read or delete workpieces manually. The raw data of the NFC tags can be read using a standard NFC app from mobile devices with NFC readers. Each workpiece has its own unique ID and displays the following data: Status, colour and timestamp from delivery to dispatch.
  • The camera is also controlled via the production view and the read values of the environment sensor can also be viewed here.




Training models in 9V and 24V

Ready-to-assemble, compact training models for simulating real applications - fischertechnik is also highly regarded by engineers and trainers.

The training and demonstration models from fischertechnik are suitable for education, training and industry. Whether it's at the 9V standard voltage or in the worldwide 24V industry standard, fischertechnik supplies a wide range of simulation models tailored to the needs of your choice.

The training models from fischertechnik are the frequently preferred and proven means to plan, program, develop and test industrial controls with the corresponding software in a realistic and cost-effective manner before large investments are made. They are used worldwide in the areas of education, development, simulation and presentation. 



For our training models, we provide CAD data on request - these can be further processed up to the digital twin.

The 3D animation shown here was created by Accelerated Solutions GmbH and is for demonstration purposes.

Connections of the flexible and modular fischertechnik system with industry-compatible actuators and sensors as well as controls of leading manufacturers open up almost unlimited possibilities for hardware simulation.

Complicated, technical systems are presented realistically and so perfectly simulated that they are comprehensible to everyone. Large industrial projects can be depicted in the model. This makes the functionality and feasibility clear. 


The connections of the flexible and modular fischertechnik system with industrial actuators and sensors as well as the control systems of leading manufacturers open up almost unlimited possibilities for hardware simulation.

The fischertechnik simulation and training models thus open up flexible possibilities for industry, education and schools to test processes and to communicate technical basics easily.


Light metal foundry of the BMW Group

In the light metal foundry of the BMW Group's Landshut plant, the start-up of the production facilities is to be made safer and more efficient with the help of two measures: Standardization and virtual commissioning. 

>> To the project


SmARt Factory - fischertechnik factory model virtually extended 

As part of a project, the company Accso GmbH enables the planning, analysis and visualization of production plants with the SmARt Factory and augmented reality applications.

>> To the project


From a 3D CAD model of the high-bay warehouse a digital twin was created - Furtwangen University

With the digital twin, it was shown how the development of a control program can be carried out via SiL (Software in the Loop) simulation without physically existing hardware, thus enabling virtual commissioning of the complete plant.

>> To the project


IoT simulation - Objektkultur Software GmbH 

With the help of IoT simulation, Objektkultur Software GmbH was able to show how a factory equipped with IoT can be quickly and securely integrated into the existing IT and controlled in the cloud.

>> To the project


Pilz Education Systems PES - Pilz GmbH & Co. KG 

The Pilz Education Systems PES are modular training systems with modern industrially used components for practical instruction in electrical engineering.

>> To the project


RISE Remote Support - RISE Technologies GmbH

RISE Technologies GmbH is a software service provider and regularly travels to major trade fairs to demonstrate its digital innovation RISE Remote Support and make it tangible for visitors.

>> To the project


Sorting line with colour recognition - Staatliche Technikakademie Weilburg 

The students of the Staatliche Technikakademie Weilburg programmed an independent project with fischertechnik using LabView. They extended the part of the sorting line with colour recognition from the factory simulation and turned it into an independent project.

>>To the project


Programming a fischertechnik model - Staatliche Technikakademie Weilburg

The students of the Staatliche Technikakademie Weilburg programmed an independent project with fischertechnik using LabView. They removed the sorting line and the cycle line from the factory simulation and installed these two components together.

>> To the project

Order options
HK$ 134,167.00


24V pre-built model with PLC S7-1500 & TIA Portal V17