Maximizing Fingrid’s IoT Potential through Asset Intellect

This blog explores how Fingrid leverages IoT devices and analytics to enhance their maintenance processes and ensure the reliability and efficiency of Finland’s power transmission system.

Read how Fingrid leverages IoT devices and analytics to enhance their maintenance processes and ensure the reliability and efficiency of Finland’s power transmission system.

As Finland’s electricity transmission system operator (TSO), Fingrid is responsible for planning and monitoring the operation
of the Finnish transmission system. In addition they maintain and develop the system. The transmission system encompasses over 14,000 kilometers
of 400kV, 220kV and 110kV transmission lines plus more than 100 substations. Major power plants, industrial plants
and regional electricity distribution networks are connected to the grid. The Finnish power system is part of the inter-Nordic
power system.

Fingrid’s IoT project is part of their continuous process in securing grid quality, improving grid availability, cost-effectiveness, safety, and sustainability.  

Traditionally companies have managed maintenance largely through condition-based maintenance. However, solutions can now move to condition-based maintenance using the technologies available with IoT devices and analytics associated with this. Fingrid has been able to retrofit older assets with relatively cheap sensors to gain insight into the performance of their assets in order to move to condition-based maintenance.  

 
This case study delves into
  • The key components within Fingrid’s project: Sensor Solutions, Cloud Data Platform, and User Interface
  • A closer look at Fingrid’s roadmap, including where Asset Intellect was implemented and why
  • How data from SQL, PI, and Maximo is being displayed in Asset Intellect, along with how Power BI and customs URL are embedded in the software.
  • The operational visualization across the enterprise using Asset Intellect, including significant use cases from the asset hierarchy

 

By using Asset Intellect, Fingrid was able to bring together the IoT data from Microsoft Azure and SCADA data through PI to view the data together in context to the assets being monitored. 

 
 
Watch the video below for a full overview of the case study
Download our white paper for a full overview of how Asset Intellect unlocked the value of IoT sensors to enable the move to condition-based monitoring

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