Digital Transformation in Industrial Plants and Manufacturing
Digital transformation buzzwords abound – IoT, Artificial Intelligence (AI), Big Data, Industry 4.0, and Digital Twins – but how are the industrial and manufacturing adopters applying new digital technologies to drive innovation, efficiency, and profitability? We have been collecting data for years; that is not new. What is new is being able to leverage these new technologies to process, manage and analyze the data beyond the limitations of the human mind.
Industry 4.0 or Digitalization refers to the next evolution of manufacturing, transitioning from islands of automation and electronics to interconnected, self-monitoring, self-learning facilities. While we are still in the early stages of this next evolution the technologies available today are already providing benefits to manufacturing facilities. Improvements to predictive maintenance, product quality and efficiency, factory floor to boardroom integration, and materials planning are all being realized by companies embracing Industry 4.0.
A digital twin utilizes connected smart technologies to create a digital replica of physical assets and processes. Until recently, implementation of a Digital Twin in a cost-effective manner was in many cases not feasible. IoT, Big Data, and companies such as Google open sourcing their AI platforms have opened the door to practical application and implementation of digital twin technology.
The online operational digital twin is based on massive, cumulative, real-time, real-world data measurements across an array of dimensions. These measurements create an evolving profile of your assets and processes in the digital world for historical, current, and future behavior of the physical plant assets and processes occurring within that plant. The digital twin can provide important insights upstream and downstream to identify opportunities to fine tune system performance. With knowledge comes power, leading to actions in the physical world such as a change in manufacturing process or the ability to execute maintenance long before a failure occurs, eliminating unplanned downtime and damage propagation.
The Hargrove Controls + Automation Team has invested immensely in staying at the forefront of AI, Big Data, and digitalization technologies. We understand the practical application of digital twin technology. Our Team can help you create a valuable model of your plant’s physical asset to monitor behavior and performance for optimization opportunities. With a digital twin, you can safely explore "what if" scenarios without putting people or the asset at risk. The digital twin serves as a model of asset health to forecast and recommend action for informed decision making and avoidance of asset failures.
The Hargrove Controls + Automation Team has been helping industrial plants and manufacturers with production and asset optimization for decades. Beyond expertise in new digital technologies, our Team’s vast knowledge and experience in both new and legacy distributed control system (DCS), network architecture, and production needs of process industries provides the experience to know what data points need to be collected and analyzed to capture the benefits and ROI of investing in digital technologies.
Whether you are just starting with your digital transformation journey or you are well on your way, our Team’s expertise can add value to your digital transformation goals. We will work with you to determine which digital technologies will have the greatest long-term value for your operation’s efficiency and profitability.
While our Team is well versed in multiple digital transformation vendor platforms, we are please to have recently formed a partnership with Aspen Technology, Inc., an AI and machine learning asset optimization software.