System Integrators and Plant Engineers are refusing to utilize industrial Ethernet all-out, even though an early adoption for the same shows productivity improvements and reduction in maintenance expenditure.
You ask why, well, traditional control systems can only decipher 3% of data from plants assets and are unable to keep up with the ever-changing business requirements. Out-dated systems face problems due to minimal capabilities and are susceptible to security crises.
Companies need to employ industrial internet enabled controllers and software-defined machines to face competition.
Additionally, these machines need to adapt to the dynamic process outputs. It is imperative to gain an edge over the competition and increase productivity.
Optimization through Predictive Models
In the past, a controller was limited to running a single application, but with the advent of new features and technology, one has the ability to run numerous applications simultaneously.
For instance, these applications do include predictive modelling packages which gather data from different processes and enter it into a real-time optimizer to ensure the processes and the assets are running in the most feasible capable form.
Consequently, one needs to ensure these applications run smoothly and do not hinder the controller’s primary tasks. This can be achieved through higher processing power and greater connectivity. Industries are adopting advanced control systems to cater to these requirements.
These heavily rely on the industrial internet which should run at ideal levels.
Cloud computing is the solution that is willingly adopted by the market to meet these increased levels of computing resources desired by state-of-the-art analytics applications.
An optimum platform is provided by cloud computing for engineers that wish to operate remotely by providing a platform for assets to transmit their information into a central repository.
Furthermore, Big Data Analytics and the introduction of cloud-based pay-as-you-go Data Warehouse Services enable industries to profit from real-time data or analytics if their resources are available on cloud platforms by removing the need to go through unnecessary migration processes.
Think of a controls and automation company that provides a cloud feature useful in running analytics and auxiliary applications.
Such a platform helps clients decipher trends and gain insights to operate a plant floor at optimum efficiency by acting as a repository for machines.
No separate infrastructure is needed by the companies for individual processes or to link them, as this feature is provided as a service.
This new technology has indeed helped in opening a new line of growth and providing a boost to the industrial economy. Machines need to be programmed in new ways to make use of the apps in the same way consumers do, especially due to the interdependent human-machine alliance.
These would naturally improve with the further development of Artificial Intelligence and Artificial Neural Networks.
On the whole, we can achieve increased efficiency and reliability of these systems with the help of industrial internet-enabled controllers, starting commercially and continuing until machine level. They can impart intelligence and interface within equipment and control systems.