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IBM > Case Studies > Big data analytics of geospatial asset information supports smarter grid management
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Big data analytics of geospatial asset information supports smarter grid management

Technology Category
  • Analytics & Modeling - Big Data Analytics
  • Application Infrastructure & Middleware - API Integration & Management
  • Networks & Connectivity - Network Management & Analysis Software
Applicable Industries
  • Utilities
Applicable Functions
  • Logistics & Transportation
  • Maintenance
Use Cases
  • Predictive Maintenance
  • Real-Time Location System (RTLS)
  • Root Cause Analysis & Diagnosis
Services
  • Cloud Planning, Design & Implementation Services
  • System Integration
The Challenge
Fingrid, the company that manages Finland's high-voltage transmission network, wanted to find smarter ways to manage its 14,000 km transmission network to boost reliability and service levels, control costs, and support better investment decisions. The company needed a more comprehensive overview of its assets and network status in real time. The challenge was to quickly analyze the entire power system when a fault occurs. In the past, it took days, if not weeks, to get all the information required for root cause analysis of a fault.
About The Customer
Fingrid is the company that manages the Finnish electricity transmission grid, the most important energy infrastructure in the country. The company employs 300 people, manages 14,000 kilometers of transmission lines and more than 100 substations, and generated revenues of EUR 567.2 million (USD 603 million) in 2013. Finland is a large and sparsely populated country, which often experiences severely cold weather conditions. The north of the country is within the Arctic Circle, which means it receives very few hours of daylight during the winter. As a result, when a power-cut occurs, it’s not just an inconvenience: it’s a potential public safety issue.
The Solution
Fingrid selected IBM as the lead system integrator for an internet of things (IoT) solution that would combine IBM Maximo Asset Management with seven other mission-critical systems, including Esri ArcGIS for mapping, Oracle Primavera Enterprise Project Portfolio Management, and SAP Work Manager for Maximo as mobile user interface. IBM WebSphere Enterprise Service Bus acts as the integration platform for all these systems, helping Fingrid efficiently centralize information from all parts of the business into a central Maximo repository. By deploying IBM Maximo Spatial Asset Management, the company can pinpoint the locations of each of its assets, and dynamically analyze their status using visualizations such as heatmaps. This helps the company recognize patterns and trends, find faults quickly, and optimize work order and maintenance scheduling and management.
Operational Impact
  • Spatial analytics enables Fingrid to locate issues across its 14,000 km network instantly, and analyze faults up to 99 percent faster.
  • New insight into maintenance costs for individual assets also helps Fingrid make smarter infrastructure investment decisions.
  • By integrating asset, maintenance and geolocation data into the Internet of Things solution, Fingrid can quickly analyze its entire power system when a fault occurs.
Quantitative Benefit
  • Accelerated fault analysis by up to 99 percent.

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