Industrial Automation: History, Components, and Applications

The Evolution of Industrial Automation

The history of industrial automation spans key developments:

  • Origins: Began in the 18th century with the First Industrial Revolution.
  • Electrification: Widespread use of electricity allowed flexible, efficient factory power distribution.
  • Assembly Line: Henry Ford’s moving assembly line (1913) reduced production time and costs.
  • PLCs: In the 1960s, Programmable Logic Controllers replaced hard-wired relay logic with software, offering flexibility and reliability in control systems.
  • Computers and Microprocessors: In the 1970s-1980s, computers enabled more sophisticated automation and real-time control.

Industry 4.0 and Automation

Industry 4.0 includes:

  • IoT: Connects physical devices to the internet for data exchange and real-time monitoring.
  • AI & Machine Learning: Used in predictive maintenance, quality control, and autonomous operations.
  • Big Data: Enables informed decision-making and process optimization.
  • Cyber-Physical Systems (CPS): Integrates physical and digital systems for responsive, smart manufacturing.

Robotics in Automation

Robots:

  • Industrial Robots: Automatically controlled, reprogrammable manipulators, programmable in three or more axes, fixed or mobile.
  • Service Robots: Semi or fully autonomous robots for human services, excluding manufacturing.

Robotic Applications Across Industries

Robotic Applications:

  • Security & Rescue: Used for threat detection, real-time data transmission, and transport.
  • Agriculture: Used in fruit picking, crop monitoring, and sorting.
  • Construction: For error detection and hazardous task automation.
  • Healthcare: Collaborative robots transport supplies, assist surgeries, and provide telecare.

Types of Robots

Robot Types:

  • Linear Robots: Three prismatic joints, aligned with cartesian coordinates.
  • SCARA Robots: Two rotary joints for planar movement.
  • Articulated Robots: Three or more rotary joints.
  • Parallel Robots: Arms with concurrent prismatic or rotary joints.
  • Cylindrical Robots: Axes form cylindrical coordinates.

Robotic Process Automation (RPA)

RPA (Robotic Process Automation):

  • Efficiency: Automates repetitive tasks, reducing errors and time.
  • Scalability: Easily adapts to increasing workload.
  • Accuracy: Ensures consistent task performance.
  • Cost-effective: Lowers operational costs.
  • Integration: Works with existing systems to improve workflow.

Components of Industrial Robot Systems

Industrial robot systems have three main parts and six subsystems.

Main Parts of a Robot

Three main parts:

  1. Mechanical Parts
  2. Sensing Parts
  3. Control Parts

Subsystems of a Robot

Six subsystems:

  1. Mechanical Structure System

    • Robots are categorized into serial and parallel robots.
    • In serial robots, moving one axis changes the coordinate origin of the others. In parallel robots, axis movement doesn’t affect other origins.
    • A parallel mechanism is a closed-loop system where moving and fixed platforms are connected by independent kinematic chains, with two or more degrees of freedom.
  2. Drive System

    • Powers the mechanical structure.
    • Classified by power source: hydraulic, pneumatic, electrical, or mechanical.
  3. Perception System

    • Converts internal and external signals into data for robot understanding.
    • Comprised of internal and external sensors.
    • Intelligent sensors enhance robot mobility, adaptability, and intelligence.
  4. Robot Environment Interaction System

    • Coordinates robot interaction with external equipment (e.g., manufacturing, welding, or assembly units).
  5. Human-Computer Interaction System

    • Interfaces for human-robot communication (e.g., terminals, consoles, displays, alarms).
  6. Control System

    • Manages robot movements and functions based on instructions and sensor feedback.
    • Divided by control method: program control, adaptive control, or AI control.
    • Control motion can be point-based or continuous trajectory.