Transmission Line Safety Distance Measurement and Data Online Fusion Processing Technology Based on Multi Physical Quantity Sensing

To address the real-time monitoring challenges of mechanical collision prevention for power transmission lines, this paper developed a warning device based on multiple sensor sources and proposed a transmission line warning algorithm based on multisensor fusion. The effectiveness of the algorithm was validated in real-world scenarios. The warning device based on multiple sensor sources first employed a visual recognition algorithm based on standard deviation clustering to identify the transmission lines ahead. Subsequently, the millimeter-wave radar in the ranging module was connected to the detection host via a wired interface. The radar data input utilized a millimeter-wave radar ranging algorithm based on improved robust Kalman filtering, providing real-time output of distance and azimuthal information of the power transmission lines at a frequency of 1Hz Experimental results demonstrated that the visual recognition algorithm based on standard deviation clustering effectively identified distances greater than 20 meters with a recognition accuracy of 93% and an output frequency of IHz The millimeter-wave radar ranging algorithm, based on improved robust Kalman filtering, achieved a ranging accuracy of ±0.1m and a ranging error of 2%, operating at an output frequency of IHz These findings confirm that the system adequately meets the overall requirements for real-time monitoring of mechanical collision prevention for power transmission lines.

I. Introduction

Currently, the detection of construction activities near the transmission channels primarily relies on routine inspections and external intrusion monitoring through video surveillance [1]. The intrusion monitoring system captures real-time photos of violations, such as unauthorized high-altitude operations by large construction machinery, and instantly broadcasts voice prompts. It sends alert messages to the responsible personnel and leaders of the line maintenance unit via SMS [2–3]. Additionally, the monitoring center can use real-time voice announcement systems to halt dangerous operations. After detection, the main regulatory measure employed is the deployment of dedicated personnel for 24-hour surveillance. Especially for construction sites with longer project durations, there is a need for extended and persistent deployment of personnel, which is both time-consuming and labor-intensive. Due to the lack of effective technical means for real-time monitoring of the accurate distance between operating machinery and power transmission lines, onsite personnel primarily rely on visual judgment, making it difficult to guarantee accuracy [4]. Accidents such as crane-line collisions persist due to this, as shown in figure 1, highlighting the urgent need to conduct research on real-time and precise measurement techniques for the electrical safety distance between construction vehicle booms and power transmission lines [5–6].