Perceptual Robotics featured in key trade titles

This is an image of an offshore deployment of our drone.

Following our exciting Innovate UK project, we’ve been featured across a whole host of media titles. Thanks to reNEWS, Renewable Energy Magazine, The Engineer and Business & Innovation Magazine to name a few, we’re so pleased you’ve covered our news! Getting the word out about the benefits of robots and artificial intelligence in detecting faults in wind turbines is incredibly important to help shape the future of the industry.

Perceptual Robotics and the University of Bristol announce results of Innovate UK data analysis project

This is an image of an offshore deployment of our drone.

Robots and artificial intelligence have proven to be almost 15% more accurate in detecting faults in wind turbines, Perceptual Robotics has revealed in a world-first set to transform the industry.

The Innovate UK Research and Development project, which has been ongoing in collaboration between Perceptual Robotics and the University of Bristol for an initial two years before being extended for a further one with DNV, involved the partners incorporating fully-automated surface defect detection into the data-processing pipeline for wind turbine inspections.

While the capture of images taken during inspections has previously been automated, it is the first time the processing of the images was carried out fully automated.  The project showed the partners’ unique system had a 14% improvement in fault detection accuracy when compared with expert humans carrying out the same inspections.

Kostas Karachalios, CEO of Perceptual Robotics, said: “It has been a privilege to work on this project with the University of Bristol and DNV to demonstrate the advantages and capabilities of fully-automated wind turbine inspections.  Until now, wind turbine operators have been left in the dark about the capabilities of fully-automated inspections when compared with manual ones as there has been a lack of benchmarking to show comparisons between the two. We have shown incorporating fully-automated surface defect detection into our Dhalion system enhances the reproducibility and speed of current wind turbine inspections, significantly reducing costs, increasing quality and reducing safety concerns.

“To have such clear data that shows the value of fully-automated inspections proves the way forward in turbine investigation will be via robotics.”

The initial first two years of the project focused on offshore wind turbine inspections before being extended for a further year to consider validation of results in both onshore and extreme, offshore environments. The partners focused on demonstrating the capabilities of the inspection system by carrying out end-to-end validating and verifying of the data system; determining how the data collection process can be auditable and traceable, and analysing the way the performance is measured to ensure it is as accurate as possible and in line with customers’ expectations.

The involvement of DNV, the independent expert in assurance and risk management, in the project’s extended third year provided expert guidance which allowed the partners to objectively assess the inspection system and data.

As well as showing a 14% improvement in accuracy in detection of faults, Perceptual Robotics was further able to reduce its data review turnaround time by 27% - enabling clients to view their inspection results within just 48 hours. The traditional time for many wind turbine inspections is two weeks.

Perceptual Robotics at All-Energy & Decarbonise Exhibition & Conference 2022

These are two images taken at All Energy 2022 of a Enercon stand and the event's entrance.

After a brilliant day one of the 2022 All-Energy Exhibition and Conference full of inspiring and innovative discussions, our Business Development Manager Derek Rutherford is ready for day two. Want to talk #inspections #wind #robotics? Get in touch to meet with Derek.

Perceptual Robotics signs contract with Enel Green Power

This is an image of one of Perceptual Robotics' drones flying near onshore wind turbines

Perceptual Robotics has today announced it has signed a major contract with energy giant Enel to process future inspections blade data from across its whole fleet of wind turbines.

Enel Green Power chose to work with the Bristol-based company because of superior results with its pioneering Dhalion system, which analyses wind turbine inspections data and uniquely identifies future potential faults before they cripple the turbine.

This high-quality analysis from Perceptual Robotics will quickly give Enel Green Power engineers the information they need to carry out preventive maintenance, dramatically reducing turbine downtime, increasing safety and cutting costs.

Following a successful collaboration in tests, Kostas Karachalios, CEO of Perceptual Robotics, said he was thrilled to continue working with Enel Green Power: “The task of inspecting and maintaining these structures is becoming ever more challenging, as the industry is increasingly recognising. There is a clear need for faster, safer inspections that produce high-quality data in order to conduct preventive maintenance and reduce the need for technicians to attend to turbines. Perceptual Robotics is delighted to be offering this unique service to Enel Green Power.

“Our solution is driven by meticulous data and the science of materials. This allows us to provide much more granular information about any defects, and to make sure we detect  within hours possible issues before they become a problem as AI can detect thousands of data in parallel, reducing wind turbine downtime, and significantly affecting the repairs needed in the future. Notably, another of the biggest differentiating factors in our solution is the ability to work with clients to deploy the processing and reporting software within their own servers, improving transparency and security. Our AI solution also works with all type of source data, providing a very valuable flexibility in huge fleets such as Enel's.”

The new contract will not be the first time Perceptual Robotics and Enel have worked together. In tests with Enel Global Services, Perceptual Robotics carried out a successful full case study on the performance and business impact of using artificial intelligence on analysing  wind turbine blade data. The results showed AI is already exceeding the capabilities of current blade experts.

Matteo Cantù, head of Innovation industries 4.0 at Enel Green Power says: “There is no doubt that the technology can have a relevant impact on the future cost of turbine blade repairs. Perceptual Robotics was able to work with us to develop and finalize a proof of concept (POC) which is currently being implemented in the wind farm fleet.”

A handy refresher in essential robotics and renewables terms

Do you know your Lidars to your Gimbals? Knowing your technology – and how to communicate it - is essential in robotics and renewables. Check out our essential check list for a handy refresher ahead of Blades Global on April 27th and 28th and stay ahead of the curve.

 

Definition Description
Algorithm Process/rules to be followed in calculations or other problem solving, especially by a computer.
Neural Networks Try to recognise relationships in data that mimics the way a brain operates.
Machine Learning A method of data analysis that automates analytical model building.
API (Application Programming Interface) A set of definitions and protocols for building and integrating software.
UAV Flight System A system that allows safe operation/efficiency of the UAV within limits. These vary with different UAV’s.
Payload Sensors Type of sensor a UAV can carry. Cameras etc.
Lidar (Light detection & Ranging) A pulsed laser is used to measure ranges/distance.
Ground Station A control centre that provides facilities for human control/monitoring of a UAV.
Gimbal Stabilises drone payloads using Internal Measuring functions (IMU) that responds to motion.
LIPO Lithium-Ion-polymer, a rechargeable battery with a polymer electrolyte.
UAV Self-Monitoring Constant monitoring of safety systems and parameters.
Trajectory Planning Moving from point A to point B while avoiding collisions over time.

Earth Day 2022

This is an image of stickers made by Perceptual Robotics with the line 'drones for good'.

Happy Earth Day 2022. 🌍 Do you know drones play a vital role in helping the wind sector fight the climate crisis?

As more wind turbines are being built to meet the growing demand for clean energy, the need for efficient inspections has become crucial. With the use of drones, inspections are now faster, safer and more cost-effective. What would once take days with a large amount of manpower and resources can now be done in a few hours with just one simple drone and Dhalion technology.

A perfect day for our operations team

This is an image of a wind turbine on a Northern England site.

How’s your office view today!? Our operations team enjoyed the beautiful weather on site during an inspection in Northern England yesterday. 

 

 

Dhalion Autonomous Wind Turbine Inspections Overview

Future-proof inspections wrapped up in the innovative technology of Dhalion. Enjoy a close-up look at our pioneering solution to wind turbine inspections in action.

Great first day at Wind Europe 2022

This is a collage of images from the first day at Wind Europe Bilbao. The first image is of Perceptual Robotics' display banner and video. The second image is of Perceptual Robotics' new image product DOT and the third is Perceptual Robotics branded stickers.

What a day! We have loved learning more about the future of wind at the first day of Wind Europe 2022. We’ve been completely blown away by the amazing people who have wanted to hear more about Dhalion. If you missed us today, don’t worry, we’re back for more tomorrow. 

Come say hello to our CEO Kostas Karachalios and Lucia Roca, our Sales and Business Development Manager for Europe at 3-E28/UK Pavilion.

Perceptual Robotics launches DOT, its pioneering drone software product

This is an image of our DOT autonomous drone at a trial.

Perceptual Robotics is launching its most sophisticated product to date with the DOT autonomous drone, designed to undertake in-depth turbine inspections and quickly analyse the data collected. The company has had DOT in development since its inception and is overjoyed to officially bring it to market. The new drone system has been designed to collect high-quality data from turbines in less than 20 minutes, whilst offering low operational costs for customers and minimal training for operators. Another key element is DOT’s safety features as the system has been designed to avoid any potential collision with the turbine.

DOT is named after two prominent female engineers: USA’s Dorothy Vaughan, a mathematician and NASA’s first African-American manager, and Britain’s Dorothy Spicer, the first woman to gain an advanced qualification in aeronautical engineering. The exclusive software product, designed by Perceptual Robotics, allows drones to use laser and camera sensors to understand the environment the device is in, plan its trajectory and efficiently collect the data required from the turbines.

DOT’s bespoke design allows it to manage the drone’s cameras and automatically control how it takes photographs. It is simple to operate; the software can be linked to a tablet device to set up a turbine inspection and receive data. Crucially, the system reduces the need for skilled operators to undertake inspections, therefore lowering the chance for human error, due to its straightforward set-up process and sophisticated software.

DOT will be officially unveiled for the first time at the Wind Europe event taking place between 5-7 April 2022 in Bilbao, Spain. From their stand at 3-E28, Perceptual Robotics will host demonstrations of the DOT drone system and showcase the straightforward set-up process via a tablet device. The drones will be put through complete simulated missions of turbines inspections, displaying the speed of data collection and the high quality of images gathered.

Kostas Karachalios, CEO of Perceptual Robotics, announced the launch of the DOT system: “We have been working on this innovative product for a number of years – every in-house development until now has been a stepping stone towards DOT. It has been a huge goal for the company to be able to offer this level of system for our customers.

“DOT represents the pinnacle of processing turbine inspection data, combining state-of-the-art data analysis with fast, high-quality imagery and a software system that totally manages the movements and activities of the drone device. We also wanted to make DOT simple and easy for our customers to use ‘off the shelf’, thereby removing dependence on the skills of the operator to determine the quality of the turbine inspection. DOT requires minimal training to use effectively and can integrate into customers’ own servers, all of which lowers the associated operational costs. It is a revolutionary new tool that complements and adds to existing industry services.”

The DOT drone inspection system will be ready for shipping to customers in May following its showcase at Wind Europe.