AVEVA Edge Data Store

The AVEVA Edge Data Store is designed to collect, store, and manage data from remote and unmanned assets in challenging environments. By enabling seamless remote monitoring, it facilitates the use of artificial intelligence on edge data, all within a single platform. It is particularly valuable for accessing and acting on data that is difficult to capture due to unreliable connectivity or power outages. The solution integrates remote edge data with primary control network data to provide a comprehensive view of industrial operations.

AVEVA Edge Data Store offers several benefits:

• Gain visibility into remote assets: Its rugged data collection, storage, and data forwarding capabilities reduce the need for manual inspections, providing visibility into hard-to-reach areas.
• Real-time edge insights: Access to locally stored data supports the development of custom diagnostic applications, empowering field operators to make immediate, data-driven decisions.
• Holistic operation views: Data can be seamlessly sent to the AVEVA PI Server or the CONNECT cloud platform, providing engineers and managers with end-to-end operational insights.
• Retrofit legacy systems: Installing the platform on low-cost IIoT gateways revitalizes older assets, facilitating diagnostic and maintenance applications while minimizing downtime.

The system's features include persistent local storage for uninterrupted data collection, the ability to deploy edge diagnostics and applications via REST APIs, and flexible deployment on small devices using Linux or Windows OS. It supports multiple communication protocols with no-code connectivity via OPC UA and Modbus TCP, and offers integration with the Open Message Format for data transfer using HTTPS.

Organizations like Enel have used AVEVA Edge Data Store to analyze large datasets effectively, minimizing network overload and storage demands. Overall, it provides robust capabilities for digital transformation, assisting in the optimization of efficiency, reduction of costs, and enhancement of operational insights.