Kazakhstan’s Ministry of Energy is expanding the use of artificial intelligence and digital solutions in the energy sector, QazMonitor reports.
A pilot project on contactless diagnostics of power transmission lines has been completed. Using drones and AI, specialists inspected more than 200 power line towers in just a few hours without interrupting electricity supply. The project demonstrated that digital technologies allow risks to be identified faster and more safely.
To scale up digital solutions, the ministry held working meetings with the Committee for Regulation of Natural Monopolies and the Ministry of National Economy, focusing on regulatory issues and broader implementation in the power sector.
At the same time, AI-based defect detection technologies are being developed. This includes defect classifiers and expanded monitoring using ultraviolet cameras, LiDAR, and thermal imaging. These tools help detect hidden damage, overheating, corona discharges, and structural deformations, improving the reliability of power supply.
The defect detection system is being implemented within the EnergyTech information system as part of the digital transformation roadmap of the fuel and energy sector. The service automatically identifies defects by analyzing photo, video, thermal, and LiDAR data, creates digital asset passports, and assesses technical conditions using neural networks with recognition accuracy of up to 98%, transferring data to maintenance and repair systems.