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Tools could replace humans?

Covid-19

Industrial Automation & Control: Tools could replace humans?


Industry 4.0 is on a macroscopic expansion due to the introduction of disruptive technologies like cyber-physical systems, Internet of Things, cloud/edge and cognitive computing as key drivers of sustainable economic development and productivity growth. Valustrat estimates that Industry 4.0 will produce over $3.7 trillion in production value, now you can imagine the enormous potentiality of industrial automation and control ahead.

In a nutshell, industrial automation includes the use of control systems such as Programmable Logic Controller (PLC), Computer Numerical Control (CNC), Remote Terminal Unit (RTU) or robots, and Digital Technologies like Big Data, Machine Learning(ML), Artificial Intelligence(AI), Augmented Reality (AR), Digital Twin and Predictive Analytics to manage various types of machinery and processes with the goal of reducing operating costs and human errors resulting in smart factory.

Industrial automation creates a self-reliant ecosystem where extensive amalgamation of technologies at various functional levels take place to optimize business performances.

The different functional level consists of industrial automation:

  • Level 0 Field: Edge sensors, input devices and actuators
  • Level 1 Control: Automation tools like Programmable Logic Controller (PLC), Programmable Automation Controller (PAC), Human Machine Interface (HMI), Artificial Neural Network (ANN), Distributed Control System (DCS) and Robotic
  • Level 2 Supervision: Supervisory Control and Data Acquisition (SCADA)
  • Level 3 Management: Manufacturing Execution System (MES)
  • Level 4 Enterprise: Enterprise Resource Planning (ERP)

Lean industrial automation solutions & its benefits

  • Grid Edge Technology (Renewable Energy): With the holistic paradigm shift from fossil fuel to distributed renewable energies and the use of cutting edge technologies, types of equipment to control and monitor work transforms the traditional grid to more reliable, robust and smart grid. At Aximind, the edge grid computing technologies have prepared critical algorithms and solutions to monitor the power plant. Our solutions have helped wind turbine operators and technicians to diagnose and resolve the assets issues and other faults remotely and ensure timely detection of anomalies.
  • Supervisory Control and Data Acquisition (SCADA): SCADA is a monitoring system which is used to remotely observe and control industrial processes. They are extremely helpful in difficult geographical setups such as the oil & gas industry. The system acquires and processes real-time data from sensors and PLCs, SCADA is important for data analysis and solves real-time bottleneck thus increasing the productivity.
  • Human Machine Interface (HMI): HMI is a software application or dashboard on SCADA that converts massive data into accessible information and enables interaction between human and machine or production plant. Unlike SCADA, HMI does not collect information but provide effective communication.
  • Artificial Neural Network (ANN): ANN is a non-linear programmed computational model that aims to simulate the way a human brain analyses and processes information. It does not to be reprogrammed as it learns itself. Artificial neural network applications have been used in the design of a solar steam generating plant.
  • Distributed Control System (DCS): DCS can control many more machines and processes at the same time. In fact, they are often used to control entire systems within a factory.
  • Robotics: DRobots can efficiently perform tasks in complicated or dangerous situations. The ultimate aim is to replace manual labour and increase efficiency, speed, and overall performance.
The different functional level consists of industrial automation:

  • Increase in productivity
  • Optimum operational cost
  • Improve in product quality
  • High level of safety
  • High Information accuracy
  • Flexibility in the manufacturing process
  • Quick decision making
Most companies don’t know where to start , we at Aximind understand the importance of first time right approach and with our product engineering and digital transformation expertise we help our customers to get familiar with industry 4.0 roadmap.

Aximind IIoT solutions include:

  • A Cloud Platform: A centralized and secure cloud platform for hosting the data and enabling remote services
  • Analytics Dashboard: Sales performance analytics interface
  • Digital Twin: Model the operational technology to improve asset performance, production yields and maintenance, predict failures, and delays in order to improve quality and efficiency.
  • MIS: Management Information System Report
  • Predictive Maintenance: Data from all the systems including any ERP or MES are integrated into the central data repository to provide context to the production asset data and helps to alert malfunction or failure in the machine
End Thought:

The digitization is a complex process, that takes a reasonable amount of time to evaluate the needs of enterprises and then its roadmap. Industry 4.0 is bringing together robots, interconnected devices and fast network of data. The dream of automation is finally making headway in production, repair and maintenance. Yet it doesn't stop here until we can delve into industry 4.0 entirely, industry 5.0 is already starting to make a buzz because the emphasis is on personalization and collaboration between man and machine to function in harmony in future.

Too dynamic or too challenging? We need to figure it out soon !!

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