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Python Communication with PLC Training
a course outline for a training program that covers Python interfacing with PLC and SCADA software:
Python Communication with PLC Course Content
Module 1: Introduction to Python in Industrial Automation 1.1 Overview of Python's role in industrial automation 1.2 Importance of scripting languages in PLC and SCADA systems 1.3 Benefits of using Python for interfacing with PLCs and SCADA software
Module 2: Fundamentals of Python 2.1 Introduction to Python syntax and structure 2.2 Variables, data types, and operators 2.3 Control structures: if statements, loops, and functions
Module 3: PLCs in Industrial Automation 3.1 Understanding PLCs and their role in control systems 3.2 PLC programming languages: ladder logic, structured text, etc. 3.3 Introduction to PLC communication protocols (Modbus, EtherNet/IP, etc.)
Module 4: Interfacing Python with PLCs 4.1 Establishing communication with PLCs using Python libraries 4.2 Reading and writing data to PLC registers 4.3 Hands-on exercises: sending commands and receiving data from PLCs
Module 5: SCADA Systems Overview 5.1 Introduction to SCADA software and its components 5.2 HMI (Human-Machine Interface) design and functionality 5.3 Role of SCADA in real-time monitoring and control
Module 6: Introduction to SCADA Software 6.1 Exploring common SCADA software (e.g., Wonderware, Ignition, WinCC) 6.2 Creating projects, screens, and tags in SCADA applications 6.3 Configuring communication drivers for PLC connectivity
Module 7: Python Scripting in SCADA 7.1 Incorporating Python scripts within SCADA systems 7.2 Using Python for custom data processing and calculations 7.3 Integrating Python scripts into SCADA events and actions
Module 8: Real-Time Data Visualization 8.1 Displaying real-time data on SCADA screens 8.2 Creating dynamic HMI components using Python 8.3 Designing custom dashboards and graphical interfaces
Module 9: Alarm Handling and Notifications 9.1 Setting up alarms and events in SCADA systems 9.2 Using Python scripts for custom alarm logic 9.3 Sending notifications via email, SMS, or other means
Module 10: Data Logging and Historical Data Analysis 10.1 Storing historical data in SCADA systems 10.2 Retrieving and visualizing historical data trends 10.3 Using Python for advanced data analysis and reporting
Module 11: Security and Best Practices 11.1 Ensuring security in Python-PLC-SCADA interactions 11.2 Implementing secure communication protocols 11.3 Following best practices for robust and reliable automation systems
Module 12: Integrating with Cloud and IoT 12.1 Sending data from SCADA systems to cloud platforms 12.2 Integrating SCADA with IoT devices and platforms 12.3 Exploring cloud-based analytics and remote monitoring
Module 13: Advanced Topics and Future Trends 13.1 Edge computing and distributed control using Python 13.2 AI and machine learning integration in industrial automation 13.3 Exploring emerging Python libraries and tools for automation
Module 14: Project Development 14.1 Collaborative project: students design and implement a Python-PLC-SCADA solution 14.2 Presenting the project, demonstrating functionality, and discussing design decisions
Module 15: Maintenance and Continuous Improvement 15.1 Strategies for maintaining and updating Python-PLC-SCADA systems 15.2 Data lifecycle management and backup strategies 15.3 Adapting to evolving technologies and industry trends
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Contacts
Mrs. Ritu Pawar Mob +91-7420804059
pune@softwellautomation.com
Head Office
Enquiry Form for Industrial Automation Training
Branch Office
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noida@softwellautomation.com
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