About GÜRİŞ Technology and WTIP
Founded nearly three years ago, GÜRİŞ Technology is on a mission to become the leading AI company delivering cutting-edge solutions to our partners in the energy sector, with a strong emphasis on green energy generated primarily by wind and solar power plants. Our vision is driven by a commitment to sustainability and innovation, aiming to address the industry’s most pressing challenges and enhance operational efficiency. We are dedicated to harnessing the power of artificial intelligence to create smarter, more resilient energy systems that not only meet today’s demands but also anticipate the needs of tomorrow.
At GÜRİŞ Technology, we are at the forefront of several groundbreaking projects. Our primary focus areas include Power Forecasting (PF) in Wind Power Plants (WPP), Predictive Maintenance (PM), and Turbine Blade Inspection using AI technologies (WTIP). PF tackles the industry’s most challenging problem by accurately predicting power generation, while PM generates timely alerts to prevent disruptions in energy production. At GÜRİŞ Technology, we are not only developing a comprehensive platform that provides real-time and historical data from WPPs, encompassing turbine health and detailed analytical reports, but also developing products using Generative AI, including GPTs and open LLMs.
WTIP: Leading the Way in Turbine Blade Inspection
WTIP, which employs state-of-the-art image processing techniques in AI to inspect turbine blade defects, significantly reduces inspection time to under 60 minutes. WTIP offers an end-to-end service for turbine blade inspections, from capturing videos using drones to analyzing damages using AI.
WTIP leverages advanced drone technology to capture high-resolution videos of turbine blades, providing a comprehensive and detailed view of their condition. The use of drones eliminates the need for manual inspections, which are not only time-consuming but also pose significant safety risks. Drones can quickly and efficiently survey turbine blades from various angles and altitudes, ensuring no defect goes unnoticed. This capability significantly reduces the inspection time to under 60 minutes, making the process more efficient and less disruptive to turbine operations. The integration of AI techniques in WTIP allows for real-time analysis of the video data, identifying potential defects with high accuracy and precision.
The early detection of damages through WTIP is not only a technological advancement but also a cost-effective solution for wind power plant operators. By identifying and addressing minor defects before they escalate into major issues, WTIP helps prevent costly repairs and extended downtime. This proactive approach ensures that turbines operate at optimal efficiency, maximizing energy production and minimizing financial losses. Additionally, the use of AI-driven predictive maintenance strategies further enhances the cost-effectiveness of WTIP, as it allows for timely maintenance scheduling, reducing unexpected failures and extending the lifespan of the turbines. Overall, WTIP represents a significant advancement in turbine blade inspection, combining the power of drone technology and AI to deliver superior results and substantial cost savings.
Our Commitment to Innovation and Customer Satisfaction
At GÜRİŞ Technology, we prioritize our customers’ needs by delivering tailored solutions that drive efficiency and sustainability. Our commitment to innovation ensures that we are continuously improving our products and services, staying ahead of industry trends, and meeting the evolving needs of our partners.
Future Directions
Looking ahead, we plan to expand our AI capabilities and integrate them with robotics to develop autonomous systems for energy plant maintenance. We also aim to collaborate with other sectors, such as automotive and IT, leveraging Bavaria’s cross-industry ecosystem to foster innovation and growth.
Join us at GÜRİŞ Technology as we lead the transformation of the energy sector with cutting-edge AI solutions and a steadfast commitment to sustainability and innovation.
