The Future of Industrial Automation: Trends and Tools

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The industrial automation landscape is evolving rapidly, with new technologies and methodologies reshaping how developers and engineers approach automation. From Software Defined Automation (SDA) to Industrial DevOps, the ecosystem is becoming more dynamic and diverse. This article explores the key trends and tools driving this transformation.

Key Trends in Industrial Automation

  1. Software Defined Automation (SDA): SDA is decoupling hardware and software, enabling more flexible and scalable automation solutions. This trend allows for easier integration of different runtimes and platforms, such as Codesys in next-gen DCS systems.

  2. Next-Gen IDEs: Modern Integrated Development Environments (IDEs) are becoming more powerful, offering seamless integration of textual and graphical programming languages. These tools are essential for developers working in diverse environments.

  3. Industrial DevOps: Borrowing from the software development world, Industrial DevOps emphasizes continuous integration and delivery (CI/CD) in automation projects. This approach ensures faster deployment and more reliable systems.

  4. Open Process Automation: This initiative aims to create open standards for automation systems, promoting interoperability and reducing vendor lock-in.

Tools and Technologies

  • Codesys: A popular runtime environment for industrial automation, supporting both graphical and textual programming languages.
  • Rust: An emerging programming language gaining traction in automation due to its safety and performance features.
  • MISRA C: A subset of the C programming language used in safety-critical systems, such as automotive controls.

You Should Know: Essential Commands and Codes

Linux Commands for Automation:


<h1>Monitor system processes</h1>

top

<h1>Check network connectivity</h1>

ping <IP_ADDRESS>

<h1>Manage services</h1>

systemctl start <SERVICE_NAME>
systemctl stop <SERVICE_NAME>
systemctl restart <SERVICE_NAME>

Windows Commands for Automation:

[cmd]
:: Check system information
systeminfo

:: Manage services
sc start
sc stop
sc query
[/cmd]

Python Script for PID Control:

import time

def pid_control(setpoint, measured_value):
Kp = 1.0
Ki = 0.1
Kd = 0.01
previous_error = 0
integral = 0

while True:
error = setpoint - measured_value
integral += error
derivative = error - previous_error
output = Kp * error + Ki * integral + Kd * derivative
previous_error = error
measured_value += output # Simulate system response
time.sleep(0.1)

What Undercode Say

The future of industrial automation is bright, with new tools and methodologies driving innovation. From SDA to Industrial DevOps, these trends are making automation more flexible, scalable, and efficient. As the ecosystem continues to evolve, developers and engineers must stay updated with the latest technologies and best practices to remain competitive.

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