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Digitalization is here to stay, and over time, its impact on manufacturing industries will only grow stronger, enabling profit not only financially but also in terms of time savings and quality improvement.
FREMONT, CA : Businesses are leveraging IIoT (industrial internet of things) to securely connect and collect data from various remote assets, channeling data to advanced operational applications, and closing the loop by feeding critical business applications. This enables optimization, asset management, enhanced analytics, and modeling/simulation, all of which contribute to the provision and improvement of business efficiency. Following are the benefits of IIoT listed below.
Real-time operational data is used to understand what is happening in real-time and manage the condition of assets and operations throughout their lifecycles. For instance, a dashboard that displays the vibration frequency of rotating support during a process, such as a turbine, provides real-time insight into the asset's operational behavior and state.
Historical operational data enables one to comprehend what occurred in the past to generate intelligence about the functional behavior of assets. It is possible to create abstracted views of active states through operating trends, KPI visualization, and dashboards. For instance, a graph displaying the turbine's previous vibration frequency during operation may be displayed on a dashboard. This can be compared to the current vibration frequency of the asset, providing insight into its long-term operational trends.
Predictive analytics is used to model what-if scenarios. Integrating real-time and historical data enables a team to assess the potential consequences of operational states and behaviors, even when tertiary variables are considered. Following that, deterministic or non-deterministic models can be used for open-loop simulation and predictive analytics. For instance, one can now estimate how long a piece of equipment can operate without requiring inspection or failing prematurely.
Prescriptive analytics defines the conditions necessary for optimizing asset and operations lifecycles. Using learning elements and closed-loop algorithms, scenario-based guidance is created and delivered to enable one's team to calibrate planning and scheduling across the entire enterprise value chain. For instance, by utilizing a unified supply chain model, scenario-based calculations can optimize maintenance schedules and performance, reducing operations impact.
A combination of connected IoT devices augmented, and virtual reality technologies provide operations personnel with real-time operating procedures and critical messages, reducing human error associated with performing specific tasks. Additionally, operators are informed of the location of existing hazards by superimposing them to their current location.
The IIoT provides organizations with a strong foundation for operational continuity. It also empowers employees with the digital services they need, such as equipment use, condition management, and more. In addition, IIoT offers innovative ways to monitor and manage objects in the physical world, especially as substantial data streams offer better decision-making avenues for companies.