Elia Innovation

The context

To ensure reliable transmission of electricity, Elia performs visual inspections of its infrastructure. When it comes to towers and overhead lines, Elia usually combines 3 types of inspections: patrolling on the ground, climbing the towers or using helicopter to fly over the lines to obtain a full perspective on the assets conditions. Climbing, however, implies a considerable safety risk for the person performing the inspection and is also a cumbersome activity. Using helicopters also does not provide the same detail one would get from a climbing inspection. While performing those inspections a number of pictures and data are collected that need to be analyzed to initiate some actions.

The project

With this project, Elia wants to test how drone technologies can improve the quality and efficiency of this very important task and at the same time avoid risk for our colleagues. Two aspects are being tested:

  • Generation of an auto flight plan: At present, a drone pilot needs to carefully operate the drone around the infrastructure while someone else is taking pictures from the camera attached to the drone. With this project, an application will automatically control the drone around the tower and will take pictures at fixed positions, with fixed angles.
  • Post-processing of the collected pictures: As mentioned above, inspections of our lines generate a number of pictures. To facilitate all this data, as well as optimizing its potential use, new post-processing techniques and data management systems will be needed. One of the most promising techniques available today is the use of Artificial Intelligence to automatically recognize defects.

Many companies have already demonstrated the technical feasibility of these processes. Our goal is to determine the maturity and scalability of the tools available on the market today.

The proof of concept (PoC)

Before a machine can recognize faults automatically, it needs to be trained based on examples of those faults. To this end, the first step of the PoC will be to capture training data. Elia’s trained drone pilots will perform the capture, assisted by an automated flight plan for the drone. Thereby, the image capturing will be highly accurate, standardized and it has the added benefit that the inspection will be performed even faster.

Afterwards, the collected data needs to be labeled before being fed into the machine. Present faults need to be highlighted and put into a category (e.g. corrosion). This allows us to train a neural network to perform the identification automatically in the future. This means that on the next flight, the pilot could upload the collected images into the machine, and these will automatically be classified according to the appropriate fault and linked with the corresponding asset. The entire process becomes more automated and eliminates tedium in the current processes.

Quote

"Elia has successfully proven that drones are relevant for transmission grid inspection. Adding our technology to their drones system will enable them to inspect a much larger part of the grid and to make drone-based inspection more productive and standardized!"

Nicolas Draber, COO Sterblue

The partners

sterblue Sterblue is a France-based company writing software for off-the-shelf drones which automates the entire drone inspection process from the inspection activity until the report. Having built a system for other structures, such as distribution grid and wind turbines, Sterblue has more recently released a system for high voltage towers as well. They have already completed several successful projects, one is in France on RTE’s infrastructure through providing service to Omexom.
sky-futures Sky-Futures is a UK based company with many years of experience in inspection activities. Using this experience, they have invested to create an intelligent data management system for all manner of imagery data. Sky-futures has a sizeable, international client base, among which numerous electricity transmission and distribution system operators as well.

They speak about it

  deTijd