Industry 4.0 Smart Factory Models
Robotics - AI - Cloud - BI Automation - Industrial Simulation & Training Models
- Create custom smart factory workflow
- Open Architecture & Industry PLC
- OPCC UA, Raspberry Pi & Node-RED integrations
- C/C++ library and the API
- Digital Twin, C/C++ library, and the API
- Industrial AI HW Model – Generate your own AI applications
As the role of manufacturing is increasingly dependent on manufacturing automation, digitization, control, programming logic, IoT, Cloud integrations, Robotics, and AI. It is important to expose our manufacturing and IT services workforce to these emerging technologies for product development, skill development, workflow optimization, and even research and development.
- Desktop POC for Smart factory automation
- Customized production and software development, C, C++
- Optical & Sensory applications, quality checks, and remote monitoring, IoT gateway via OPCC UA, Raspberry Pi & Node-RED platforms. Integration with AWS, Microsoft, Google, and SAP cloud servers.
- PWM based motor control options
- Logistics and Production planning & optimization, digital traceability with NFC/ RFID
- IoT & integrated Cloud-based control, monitoring, and smart devices integrations
- Demonstrating and connecting your upstream and downstream factory workflow and process
- Web-based operational dashboards
- Hands-On Training & demonstration through Haptic Comprehension
- Demonstration to internal and external customers
A high-bay warehouse is a storage area that saves space and allows computer-aided storage and retrieval of goods.
The workpiece automatically passes through several stations that simulate different processes in the M-P with the Kiln slider.
The sorting line with color recognition is used to automatically separate workpieces of different colors.
The environmental station with a surveillance camera is used to record measured values within the factory.
Visualize AI models and make them sustainably comprehensible
- Ideal training, simulation, and demonstration model for education and research
- Visualization of AI systems, machine learning, and neural networks
- Networking of theory and practice for a sustainable learning result
- Already built, stable training model. Mounted on a stable wooden plate, packaging of the model is in a stable cardboard box
- ATTENTION: For operation a power supply 9V/2,5A is mandatory
The use of artificial intelligence in industry, education, and research is becoming more and more important. The Quality Control with AI System model from Fischertechnik is ideal for visualizing this complex subject in a hands-on way since it creates a sustainable learning experience by linking theory and practice.
The use of artificial intelligence in quality control brings numerous advantages, which are already being used in the automotive industry for instance. Processes can be speeded up, fault rates and costs minimized, and fault evaluation standardized. The Fischertechnik sorting line is supplied with workpieces in three different colors. These workpieces are marked with three processing characteristics as well as different fault patterns. The workpieces are scanned by the camera and classified with the aid of the trained AI. Depending on the color, feature, and fault pattern, the workpieces are then sorted by artificial intelligence on the basis of their quality features.
If you want to go a step further, you have the option of generating your own AI applications. The training is done in Python, for which a suitable example project is provided for explanation.
Sorting line for workpieces in 3 different colors (white, red, blue), with 3 different machining features (bore, gouges, bore+gouges) as well as different error patterns (bore out-of-round, bore missing, gouges missing completely or partially, cracks in the workpiece. These machining and defect features are simulated with corresponding adhesive labels on the workpieces. The workpieces are scanned by the camera and classified using the trained AI. Depending on the color, feature and defect pattern, the workpieces are then sorted into 4 different bays. The AI is implemented with Tensorflow and is run on the TXT 4.0 controller. Own AI models can also be generated. The training is done on a computer in Python. A corresponding example project is provided. The sequence control for the sorting system is implemented in the programming environment ROBO Pro Coding and in Python.
9V / 24V MODELS
There are fischertechnik simulation models either in 9V standard voltage with fischertechnik controller(s) or in the worldwide 24V industry standard for connection to all common PLCs. The 24V models have a PCB with relay to reverse the motor's direction of travel for this purpose. Inputs and outputs are designed for pin connectors (26-pin, 2.54 mm grid) and terminal blocks with push-in connections. Wiring plans and technical information are available
FULLY ASSEMBLED
Fischertechnik training models are delivered pre-assembled as compact functional models. For this purpose, they are fixed onto wooden boards using screws to increase stability, so that mobility to carry the models with you for projects. Exhibitions or trade fairs is guaranteed at all times. The screws can be easily loosened to take advantage of the flexibility and modular design of fischertechnik, if an independent conversion and extension of further models is required at any time. Fischertechnik has been a "Made in Germany" brand for over 55 years and continues its manufacturing in Germany. Profit from the excellent high quality which makes fischertechnik models extremely durable and well-known
9V / 24V MODELS TUTORIALS / DOCUMENTATION
eLearning Portal The portal provides technical documentation, wiring plans, data sheets, and additional didactic material for free download. Innovative teaching materials by fischertechnik for teachers, instructors and trainers supports the development of technical understanding among high school and university students and trainees and helps transmit knowledge. It offers visual models and tasks for easily preparing lectures and includes problems as well as solutions. Handouts and copying templates are also included.
With Edutech – Fischertechnik, much of what is important in a SmartFactory can already be simulated and tried out today and above all comprehensively demonstrated. Systems and machines communicate with each other via a networked software platform and, for example via the connection of a cloud, communicate the actual data to the connected data center in real time, which in turn automatically derives the next steps, e.g. activating the order, organizing stock replenishment or sending the pick-up order to the logistics department. The fischertechnik factory simulation and all other fischertechnik training models are delivered ready-made and can be operated either at 9V standard voltage or 24V industrial standard PLC from Siemens, Allen-Bradly, Honewell, GE, Mitsubishi, and others. The focus is on the simulation, demonstration and comprehensible presentation of digital networked applications in a real production environment. Some of the PLC programming languages you can use are Ladder Diagram-LD, Sequential Function Chart -SFC, Function Block Diagram – FBD, Structured Text -ST Instruction List-IL. 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 available. Edutech offer custom configuration and model development to suit the smart factory models to your project requirements.
