AI Case Study

EDF Energy matches physical components of nuclear power stations with digital instruction manuals using deep learning

EDF Energy's team in France has developed deep learning models, which are capable of labeling components on the inside of power stations in order to digitally match the physical components to digital instruction manuals.

Industry

Energy

Other

Project Overview

"An EDF team in France has been using AI to create digital replicas of nuclear power stations and digitally connect physical components with digital instruction manuals.

By taking laser scans and panoramic images of the inside of the power stations EDF can start to pinpoint these 30,000 components way faster than a human could. Going through ten billion pixels of information collected in those images to find those 30,000 labels would have taken four months per power station if done by humans, Ferguson estimates.

So EDF developed some deep learning models to 'be able to identify those labels among those images and pinpoint them. That took about three weeks of work, so a significant saving of time and effort,' Ferguson said."

Reported Results

Results undisclosed

Technology

"EDF developed some deep learning models to 'be able to identify those labels among those images and pinpoint them'."

Function

Operations

General Operations

Background

"EDF Energy is one of the biggest energy suppliers in the UK with a network of nuclear, coal and renewable power stations." David Ferguson's team, head of digital innovation at EDF, is "responsible for designing proof of concepts 'to demonstrate the value and potential of new technologies. It is our job to move fast and break things, in a controlled environment', he said."v

Benefits

Data

laser scans and panoramic images