Beyond SCADA: Integrating OT with an IIoT Platform
Alongside MES, SCADA is one of the most widely used systems in manufacturing facilities today. Industrial companies use SCADA as a process control system to monitor data acquisition processes and oversee a variety of related workflows. Data from OT devices is collected by the SCADA system and integrated into the SCADA ecosystem through applications that cover various shop-floor use cases. So why does an industrial IoT platform still make sense here?
One drawback of SCADA is that these systems were not built for rapid scaling. They do not accommodate change easily. In most cases, processes are slow and inflexible. The data collection process, robust as it is, also has its limits: it is generally suited only to monitoring, supervision, and sending alerts. More sophisticated analytics or use cases based on machine learning are not possible.
Another challenge arises from the OT (operational technology) devices themselves. OT refers to the bundle of hardware and software within an organization responsible for monitoring and control. It encompasses shop-floor devices, processes, and predefined key events. Every organization holds a wide range of industrial assets, most of them highly heterogeneous. The hardest problem, therefore, is integrating them so that they all work together. Ideally, this happens in a single place that can serve as the organization's data hub and act as a single source of truth for delivering insights. Conclusion
One answer to this is a substantial IIoT platform solution that gives enterprises a solid foundation for repeatable processes and supports seamless scalability to thousands of devices. At KOPENS, our top priority is ensuring a seamless journey — from connecting heterogeneous edge devices and systems, through IoT data collection and processing, to building machine learning models and visualizing complex insights in custom dashboards.
In this way, industrial companies are best positioned to collect IoT data from all of their assets. They can also store that data reliably. This approach safeguards data accessibility across the organization at all times and lays the groundwork for complex analytics.
How Do You Integrate All Your Industrial Assets?
Integrating industrial assets and safeguarding transparency across diverse OT units is the foundation of efficient shop-floor operations. The KOPENS industrial IoT platform helps achieve this goal. It abstracts away all the complexity of the process and scales quickly. Starting with connecting OT assets, you benefit from a hardware-agnostic infrastructure. Thanks to container technology, this gives you access to any device, IPC, system, and piece of equipment.
Solving Common OT Challenges
In this way, the platform ties together loose ends within the organization and effectively overcomes the most common challenges in integrating OT (and IT along the way).
Brownfield integration. Full coverage of all brownfield assets, including legacy devices, systems, and industrial equipment from different vendors.
Collecting data from multiple heterogeneous sources. The ability to leverage IoT data coming from any data source and harmonize that data, effectively resolving data silos.
Edge data management capabilities. Processes that securely extract, load, and store incoming IoT data so it can be used wherever it is needed.
Full integration within existing infrastructure. No complex system integration scenarios required.
Full transparency and collaboration capabilities enable effective knowledge exchange on and beyond the manufacturing floor.
This creates a fully integrated OT layer, providing a solid foundation for building applications and perfecting existing use cases. IoT data collected on the platform is readily available to different departments across the organization. The data can be used immediately to serve various departments as needed.
The PlantPulse Platform combines a hardware-agnostic, any-protocol, any-programming-language approach to device connectivity with data democratization.
Data collected from edge devices is stored securely along with device logs, ensuring a transparent audit trail at all times. Thanks to a comprehensive data studio with advanced visualization capabilities, raw or processed data can be stored in the cloud. The platform's RESTful API enables integration with a variety of additional services and BI tools. This leads to more sophisticated infographics, data transformation jobs, and algorithm building.
Next Step: Achieving Seamless Scalability
An effective IIoT platform can enhance existing OT capabilities. But you can also start from scratch, integrating disconnected assets and making high availability of enterprise data a top priority. The first step toward scalability is connecting all data-generating assets to the platform.
From data to processes
The data is then extracted, integrated, and stored securely on the platform. This way it can be consumed immediately and used for a variety of tasks. These range from instant visualization or running queries on the data to building IoT apps based on sophisticated machine learning models. Apps can be rolled back out to the IoT edge to deliver a range of functions. These span simple monitoring and control tasks, reporting on key parameters, overseeing whether specific KPIs are being met, and ultimately improving overall operational efficiency.
From here, you build an iterative process that continuously improves the existing cycle to realize more ROI, faster. This is how you build robust processes, starting by feeding relevant IoT data into the IIoT platform engine.
Scaling Across Multiple Sites
With the PlantPulse Platform, you can go beyond simply implementing the established cycle within a single manufacturing site — you can extend it to multiple locations, creating a much larger network of connected assets streaming IoT data. This level of transparency lets teams gather insights faster, respond to outliers, derive improvements, and anticipate where change is needed.
Thanks to powerful edge management capabilities, the KOPENS IIoT platform provides monitoring and control of devices across the manufacturing floor, app management with instant deployment and OTA updates, and robust data management that lets enterprises collect and consolidate data from multiple locations.
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