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Big Data – What does it mean for your Process Automation Plant?
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Big Data – What does it mean for your Process Automation Plant?

Sep 26, 2022 | Engineering, Technology

With an ever-changing business environment, manufacturers are turning to technology to increase productivity, reduce costs and improve quality. Big Data is the next step – advancing production and business operations through collecting, analysing, and monitoring.

Big Data refers to large volumes of data that now inundate businesses at unprecedented speeds and velocity. Data streams arrive in a variety of different formats or protocols.  Streams can be unstructured or structured. Unstructured streams include those only when a switch is operating, once each week or month. Structured streams include current and volt readings every second. 

Big Data may come from internal sources, including machines and devices, or external sources, including transactional and social. These various connected sources enable the Industrial Internet Of Things (IIOT) to supply data from anywhere. Finding the variability factors, such as trends, seasonal changes, and peaks, along with accuracy and quality, adds to its complexity.

Importance

The importance of big data lies in how you use it. It has the potential to unlock enhanced insights, inform decision making and improve process automation. By combining it with high-performing analytics, your plant may deliver value in:

  • Finding faults, issues, and causes in real-time.
  • Optimising operational efficiencies through equipment efficiency alerts, predictive maintenance schedules, and scheduling downtime.
  • Enabling irregularities to be found faster and more accurately than traditional methods and better process quality.
  • Reassessing risks and hazards within minutes.
  • Adjusting deep learning models to show and respond to fluctuating variables.
  • Revealing and identifying trends and patterns that allow for actionable insights into processes.
  • Driving new revenue and growth opportunities with more perceptive market intelligence.
Industry Changes 

As a result, change has been driven and is providing new opportunities for businesses within the Automation and Process Control Industry. Expected future industry trends due to the increased use include:

  • Bigger reliance on cloud technology and growth of the Data-as-a-Service (DaaS) industry.
  • The increased demand for data-focused roles. For example, this includes data scientists, engineers, and officers.
  • Changing roles of Artificial Intelligence (AI), Machine Learning (ML) and humans in the working environment with personnel to focus on process and quality.
  • Cost-effective and innovative forms of information processing and improved decision-making with Augmented Reality (AR) and analytics.
  • Faster project delivery and updates with new methods for project development. 

Big Data aids digital transformation across multiple industries. Automation and process control are strong contenders for the rapid uptake and establishment of new operational standards for processes, data, and people. Big data supports the reduction of waste and costs. It has the potential to rapidly increase accuracy and yield, improve quality assurance and optimise processes.

To discuss how Triple i can help, email us at sales@triplei.com.au or call 1300 422 444.

About Triple i

Triple i delivers outcomes for all your control, data, electrical, instrument, and mechanical needs with over thirty-five years of experience. We provide a range of technology-based projects, consultancy, maintenance, and support services in the industrial sector. With over seventy-five skilled employees, Triple i provides the best products and services, with integrated solutions designed for clients’ needs.