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Siemens LOGO! – 12 Online testing

Siemens LOGO! – 12 Online testing

The Siemens LOGO! series is an intuitive, flexible platform for small automation projects. This tutorial series offers a step-by-step guide, covering essential functions, advanced configurations, and real-world applications. Whether you’re a beginner or looking to enhance your expertise, these lessons will provide you with the skills needed to harness the full potential of Siemens LOGO!.

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Part 1: Introduction to Siemens LOGO! Networking and Visualization

01: Siemens LOGO! Networking via Drag and Drop

  • Learn how to quickly create networks between multiple devices using a simple drag-and-drop method.

02: Siemens LOGO! Marking Connecting Lines in Color

  • Explore how to use color coding to enhance clarity and organization in your projects.

Part 2: Real-World Control Siemens LOGO! Applications

03: Light and Fan Control

  • Implement practical automation solutions for controlling lights and fans.

04: PI Controller

  • Understand how to set up and fine-tune a Proportional-Integral (PI) controller for precise control.

05: Webserver

  • Configure the built-in web server to monitor and control your LOGO! project remotely.

06: Function Keys

  • Discover how to assign and use function keys for quick control and operation.

07: Changing Parameters

  • Learn to adjust parameters dynamically during runtime for flexible control.

Part 3: Siemens LOGO! Advanced Visualization and Data Handling

08: Using the Access Tool to Read Data

  • Utilize the Access Tool to extract and manage data from your LOGO! projects efficiently.

09: Siemens LOGO! Digital Bar Graph

  • Visualize data dynamically with digital bar graphs for better monitoring.

10: Time as a Bar Graph

  • Represent time-based data graphically for enhanced trend analysis.

11: Inverted Signals

  • Work with inverted signals to manage reverse logic scenarios effectively.

12: Siemens LOGO! Online Testing

  • Test your projects in real-time with the online testing feature for faster debugging.

Part 4: Streamlining Development with Comments and Simulation

13: Comments

  • Learn best practices for adding comments to your projects to enhance clarity and collaboration.

14: Node Value Simulation

  • Simulate node values to test and validate logic before deployment.

15: Looking for Nodes

  • Use tools to efficiently locate and manage nodes within complex projects.

16: Network Project

  • Build and manage a complete networked automation project step by step.

Part 5: Siemens LOGO! Configuration and Monitoring

17: Configuring the Startup Time

  • Optimize startup times to ensure efficient system performance.

18: Values in the Trend View

  • Monitor and analyze trends in data over time for performance optimization.

19: IO Settings

  • Configure input/output settings for seamless hardware integration.

20: Monitoring Values

  • Keep track of critical values in real-time to ensure system stability.

21: Force Signaling in the Simulation

  • Simulate forced signals to test edge cases and ensure robust logic handling.

Part 6: Advanced Automation Solutions

22: Light and Fan Control

A deeper dive into designing complex control systems for lighting and ventilation.h on live project values for operational accuracy.


Key Features of This Training Series

  • Step-by-Step Guidance: Each lesson provides detailed instructions, ensuring a smooth learning curve.
  • Hands-On Examples: Practical examples help bridge the gap between theory and application.
  • Comprehensive Coverage: Covers both basic and advanced features to cater to all skill levels.
  • Efficiency Boost: Tips and tricks to streamline workflows and improve project execution.

Learning Outcomes

Siemens LOGO! interface showcasing a networked automation project with control panels and visualizations.

By the end of this series, you will:
Leverage advanced features like web servers and PI controllers for enhanced control. Master the basics of Siemens LOGO! programming and networking. Implement practical automation solutions for real-world applications. Monitor, visualize, and analyze data effectively using built-in tools.

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