Best practices for model training and serving in machine learning – Part 2
In this article series on machine learning, we discuss best practises for training and debugging you ...
Infrastructure asset inspections with drones not only require careful preparation, but also a lot of post-processing. Kapernikov recently demonstrated its data processing skills for a drone inspection project at Elia.
To ensure the effective operation of an organization’s assets, asset managers need to plan regular inspections of their equipment. Drone inspections have big advantages over traditional, time-consuming inspection methods, where workers need to physically access dangerous environments and where height, wind or weather can lead to accidents.
However, automated drone inspections often generate huge piles of data that need to be processed afterwards. Ideally, data processing is done in an automated way, by means of deep learning. But before smart algorithms can do anything meaningful, they need to be trained first.
Training an algorithm means feeding it with lots of examples so it can improve and become better in doing the required task (e.g. recognizing an object in a picture). Kapernikov is an expert in the training of algorithms and recently demonstrated its expertise to Elia, in a project to help the Belgian electricity grid operator to process data coming from drone inspections.
Drone inspections for Elia
To ensure reliable transmission of electricity, Elia performed visual inspections of its infrastructure (pylons and overhead lines). The data collected during these inspections needed to help the company to improve asset maintenance and develop more efficient maintenance policies.
For the visual inspection of its electricity pylons and overhead lines, Elia chose to use drones. Although Elia had tried many other forms of inspections, drone inspections have a number of advantages.
Drone inspections are:
- Safer: Drone inspections present much fewer safety hazards than having inspectors climb the pylons.
- Faster: The number of inspections by human operators climbing the pylons is limited to two or three per day. The number of drone inspections is a multiple of this.
- Less expensive: Next to the cost of the human inspector, drone inspections also avoid the cost of outages on lines. Drone inspections can be performed while the lines are under voltage.
- More productive: Drone cameras can produce many more pictures in a shorter time frame.
Processing mountains of data
Because drone inspections are so productive, a lot of collected asset data will need to be analyzed afterwards. The defects found during these inspections will need to be labeled accurately. In the case of Elia’s visual pylon inspections, Kapernikov has helped to do the first rounds of manual (non-automated) annotation and data quality checks.
Of course, the objective is that these analyses will become much more automated. For example, in an ideal scenario, an algorithm should be able to draw frames around the detected defects, classify those defects and link them with the corresponding asset. All of this makes a final data quality check much faster and efficient.
Asset inspections from a to z
The best way to survey large, complex structures is from the air. Drone technology has become so accessible today that many asset managers and maintenance professionals have embraced this inspection method.
However, in order to get the most out of an asset inspection with drones, a lot of preparation and post-processing is needed. That is where Kapernikov’s experience with large infrastructure organizations can make a difference.
Kapernikov can help you to:
- Manage extensive visual inspection campaigns
- Develop a drone inspection flight plan
- Carry out a drone safety risk analysis
- Support inspections on site
- Annotate collected data
- Check data quality
- Train and develop algorithms
- Apply deep learning techniques for automated fault detection
Knowing the customer
Managing an asset inspection campaign with drones not only requires organizational and data-related skills, it also requires effort and time to become familiar with the technical nature and complexity of the customer’s equipment.
In the case of Elia, Kapernikov consultants immersed themselves in the subject matter of pylons, electrical power lines and other related infrastructure, so they would be able to make informed decisions during the project. This is definitely one of the strengths of working together with Kapernikov.
Every asset inspection project is different, but Kapernikov does what needs to be done to make sure that asset and maintenance professionals have the asset data they need to make better decisions.
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