Advanced Transmission Line Localization for Biotechnological Facilities Using Electric Field Simulation and Millimeter Wave Radar Signal Analysis
DOI:
https://doi.org/10.5912/jcb1493Abstract
Reliable power transmission infrastructure is essential for the continuous operation of biotechnological facilities, where even minor power disruptions can compromise sensitive research and production processes. Traditional methods for transmission line location rely heavily on visual estimation by field operators, leading to safety risks and reduced accuracy. To address these challenges, this study proposes an advanced transmission line location method tailored for biotechnological infrastructure, combining electric and magnetic field simulations with millimeter-wave radar signal analysis. An electromagnetic simulation model of ultra-high voltage (UHV) overhead lines was developed using the finite element algorithm and ANSYS software to analyze the relationship between electromagnetic field components and wire distances. A novel approach, utilizing the effective value of the electric field combined with height measurements, was introduced to accurately determine the real-time distance between unmanned aerial vehicles (UAVs) and transmission lines. The developed transmission line route tree ranging system comprises an electromechanical ranging device, communication control systems, and a ground-based real-time data processing unit. The system processes millimeter-wave radar signals, angle sensor data, and real-time images to display the precise distance between transmission lines and surrounding vegetation. Experimental validation demonstrated that the millimeter-wave radar system achieved centimeter-level measurement accuracy, with the error margin remaining within ±6 cm compared to infrared laser rangefinder data. The proposed system significantly reduces manual intervention risks, enhances operational safety, and ensures precise transmission line localization essential for maintaining uninterrupted biotechnological processes. This research contributes a robust framework for integrating advanced transmission line monitoring technologies into biotechnology commercialization, ensuring infrastructure reliability critical for the sector's growth in smart city environments.