Hosts Ira Sharp and guest Vladimir Romanov sit down to talk about the transformative world of the Industrial Internet of Things (IIoT) in this episode of Tomorrow's Trends Podcast. Join as they discuss easier data extraction methods, the critical role of edge devices, and integrating IIoT into business decisions. Discover how these insights can revolutionize your industrial operations and drive better business outcomes.
Simplifying Data Extraction
Vladimir Romanov emphasizes the advancements in data extraction methods, drawing a sharp contrast between past and present systems. He explains, "Previously, extracting data from systems like ControlNet and DeviceNet was a real challenge." In the past, OT (Operational Technology) teams had to process data locally on Human Machine Interfaces (HMIs), often with limited edge devices. These traditional systems made data extraction cumbersome and ineffective, limiting the ability to generate actionable insights from the collected data.
Today, however, the landscape has dramatically changed. Modern edge devices such as Industrial PCs (IPCs) or Linux/Windows-based machines have simplified the process of data collection, storage, and filtration. Vladimir adds, “Now, edge devices can easily extract, store, and filter data, supporting local databases and presenting data on dashboards or sending it to the cloud.” This means that valuable operational data can now be efficiently processed both locally and remotely, enabling faster and more flexible decision-making.
Edge devices not only reduce the workload on OT teams but also enhance the accuracy and completeness of the data collected, making it a critical component of any robust IIoT strategy. The advancements have enabled businesses to gain deeper insights into their operations, driving improvements in efficiency, productivity, and overall performance.
The Role of Edge Devices
Ira underlines the versatility and crucial role of edge devices, explaining that they can seamlessly integrate with both existing (brownfield) and new (greenfield) installations. "Edge devices enhance the accessibility and usability of data from existing systems," Ira states. This is particularly important for companies with legacy systems that need an upgrade but cannot afford a complete overhaul.
Vladimir elaborates on this by explaining how edge devices serve as pivotal components in modern IIoT frameworks. By improving data accessibility and management, edge devices enable organizations to make better-informed decisions. "These devices bridge the gap between legacy systems and new technologies, ensuring data from various protocols can be collected, processed, and utilized effectively," adds Vladimir. For example, edge devices can handle multiple communication protocols like Modbus, Profinet, and ControlNet, making it possible to gather data across heterogeneous systems.
This integration capability is critical for businesses aiming to retain their legacy investments while still leveraging the benefits of modern IIoT solutions. Edge devices can therefore act as facilitators in the digital transformation journey, making it more seamless and less disruptive.
Integrating Data into Business Decisions
One of the key discussions in the episode focuses on leveraging aggregated data for making informed business decisions. Vladimir stresses, “It's not just about real-time process metrics; it’s about historical analysis and decision-making.” This marks a significant shift from the traditional focus on immediate operational data to a broader perspective that includes long-term strategic planning.
Ira Sharp echoes this by highlighting the importance of data-driven business decisions. He notes, “Data from edge devices is not just for immediate operational needs but also for strategic planning and long-term decisions.” The data collected and processed through IIoT systems can provide invaluable insights into trends, inefficiencies, and opportunities for optimization.
For instance, real-time data may help operators address immediate issues on the production floor, but historical data can reveal patterns that inform future improvements. By making data consumable and useful at all organizational levels—from operators to top management—companies can harness IIoT's full potential for substantial business growth. This democratization of data ensures that everyone in the organization can benefit from insights, fostering a data-driven culture that can lead to innovative solutions and competitive advantages.
Key Quotes From The Episode
Vladimir Romanov points out, “Proper architecture and reliable network infrastructure are critical for effective data collection and processing.” Ira Sharp adds, "Investing in correct infrastructure, like routers and switches, is crucial for reliable data communication."
Key Takeaways
- Simplified Data Extraction: Advances in edge devices have streamlined the process of data collection, storage, and filtration, making it more efficient than older systems.
- Versatile Edge Devices: These devices can integrate with both existing and new installations, enhancing data usability and accessibility.
- Strategic Business Decisions: Aggregated data from IIoT helps in making informed business decisions, benefiting all organizational levels.
Wrap Up
In this episode, Vladimir Romanov and Ira Sharp explored the advancements in data extraction, the crucial role of edge devices, and the integration of IIoT into business decisions. Understanding and applying these insights can revolutionize your industrial operations and improve decision-making processes.
By simplifying data extraction, modern edge devices reduce the complexity and cost associated with legacy systems, making it easier to collect and process valuable data. These devices can also integrate seamlessly with existing setups, ensuring that businesses can leverage new technologies without disrupting their ongoing operations. Finally, by using aggregated data for strategic decisions, companies can ensure that every level of the organization benefits from valuable insights, driving improvements and fostering a data-driven culture.
To get started, assess your current systems and consider investing in edge devices to improve data management. Focus on integrating data into business decisions to ensure that you leverage the full potential of IIoT. Begin by identifying specific challenges or opportunities within your operations and progressively expand your data collection and analysis efforts.
About the Guest
Vladimir Romanov is a seasoned expert in industrial automation with experience at companies such as Kraft Heinz, and Procter & Gamble. He founded SolisPLC, an online training platform for manufacturing control systems, and co-founded Kerno. Vlad is also the co-host of The Manufacturing Hub Podcast.
Active on LinkedIn, Vladimir educates others on industrial automation, making him a valuable resource for understanding IIoT's transformative capabilities. His insights into data extraction, edge devices, and business integration make him a leading voice in the industrial automation community.
Connect with Vlad on LinkedIn: https://www.linkedin.com/in/vladromanov
Listen to the Manufacturing Hub Podcast: https://www.manufacturinghub.live/
