LabVIEW Fundamentals: Design, Develop, Deploy in Köln

• Introduction to LabVIEW
  • Overview of LabVIEW and its applications
  • Understanding the graphical programming paradigm
  • Key features and benefits of using LabVIEW
• LabVIEW Interface and Environment
  • Navigating the LabVIEW interface
  • Understanding the front panel and block diagram
  • Managing projects and files
• Basic Programming Concepts
  • Data types and structures
  • Loops (For Loop, While Loop) and case structures
  • Event handling and user interactions
• Virtual Instruments (VIs)
  • Creating and managing VIs
  • Using and creating subVIs
  • Modular programming practices
• Data Acquisition and Signal Processing
  • Setting up data acquisition systems
  • Integrating with hardware devices (DAQ devices, sensors)
  • Basic signal processing techniques
• Data Visualization and Analysis
  • Creating graphs and charts
  • Implementing real-time data monitoring
  • Data logging and storage solutions
• Control Systems and Automation
  • Designing control loops
  • Implementing PID controllers
  • Automating measurement and control tasks
• Debugging and Optimization
  • Debugging techniques and tools in LabVIEW
  • Optimizing VI performance
  • Best practices for efficient programming
• Advanced Features (Introduction)
  • State machines and sequential programming
  • Integrating LabVIEW with other software (MATLAB, Python)
  • Introduction to LabVIEW Real-Time and FPGA modules
• Best Practices and Project Management
  • Organizing LabVIEW projects
  • Version control and collaborative development
  • Documentation and code maintenance
• Exercises
  • Exercise 1: Building a Simple Data Acquisition VI
    • Description: Create a VI that acquires data from a simulated sensor, processes the signal, and displays the results in real-time on the front panel.
    • Result: Participants will develop a functional data acquisition application, demonstrating their ability to integrate data acquisition, signal processing, and data visualization within LabVIEW.
  • Exercise 2: Designing an Automated Control System
    • Description: Develop a VI that implements a basic PID control loop to maintain a simulated temperature at a setpoint, including real-time monitoring and adjustment capabilities.
• Result: Attendees will create an automated control system, showcasing their skills in designing control loops, implementing PID controllers, and managing real-time data within LabVIEW.

LernzieleParticipants will gain a solid foundation in LabVIEW, understanding its graphical programming environment and core concepts. They will learn how to navigate the LabVIEW interface, create and manage Virtual Instruments (VIs), and utilize basic programming structures such as loops, case structures, and event handling. The seminar will cover data acquisition techniques, signal processing, and data visualization, enabling attendees to develop functional applications for measurement and automation tasks. Additionally, participants will explore best practices for debugging and optimizing LabVIEW programs, ensuring efficient and reliable performance. By the end of the seminar, participants will be equipped to design and implement basic LabVIEW applications tailored to their specific engineering and scientific needs.ZielgruppenThis seminar is ideal for engineers, scientists, researchers, technicians, and students who are new to LabVIEW or seeking to enhance their foundational skills in this powerful graphical programming environment. It is perfect for individuals involved in data acquisition, instrument control, automation, and those looking to streamline their workflow with LabVIEWs intuitive interface and robust capabilities