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 IBM

Big data analytics of geospatial asset information supports smarter grid management

IBM

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
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. Read More
About 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. Read More
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. Read More Log in to view content
Contents

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

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 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.

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.

Impact #1	Spatial analytics enables Fingrid to locate issues across its 14,000 km network instantly, and analyze faults up to 99 percent faster.
Impact #2	New insight into maintenance costs for individual assets also helps Fingrid make smarter infrastructure investment decisions.
Impact #3	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.

Impact #1

Spatial analytics enables Fingrid to locate issues across its 14,000 km network instantly, and analyze faults up to 99 percent faster.

Impact #2

New insight into maintenance costs for individual assets also helps Fingrid make smarter infrastructure investment decisions.

Impact #3

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.

Benefit #1	Accelerated fault analysis by up to 99 percent.

Benefit #1

Accelerated fault analysis by up to 99 percent.

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Overview

Big data analytics of geospatial asset information supports smarter grid management

Operational Impact

Quantitative Benefit